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Sakurai R, Pieruccini-Faria F, Cornish B, Fraser J, Binns MA, Beaton D, Dilliott AA, Kwan D, Ramirez J, Tan B, Scott CJM, Sunderland KM, Tartaglia C, Finger E, Zinman L, Freedman M, McLaughlin PM, Swartz RH, Symons S, Lang AE, Bartha R, Black SE, Masellis M, Hegele RA, McIlroy W, Montero-Odasso M. Link among apolipoprotein E E4, gait, and cognition in neurodegenerative diseases: ONDRI study. Alzheimers Dement 2024. [PMID: 38470007 DOI: 10.1002/alz.13740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 12/08/2023] [Accepted: 12/14/2023] [Indexed: 03/13/2024]
Abstract
INTRODUCTION Apolipoprotein E E4 allele (APOE E4) and slow gait are independently associated with cognitive impairment and dementia. However, it is unknown whether their coexistence is associated with poorer cognitive performance and its underlying mechanism in neurodegenerative diseases. METHODS Gait speed, APOE E4, cognition, and neuroimaging were assessed in 480 older adults with neurodegeneration. Participants were grouped by APOE E4 presence and slow gait. Mediation analyses were conducted to determine if brain structures could explain the link between these factors and cognitive performance. RESULTS APOE E4 carriers with slow gait had the lowest global cognitive performance and smaller gray matter volumes compared to non-APOE E4 carriers with normal gait. Coexistence of APOE E4 and slow gait best predicted global and domain-specific poorer cognitive performances, mediated by smaller gray matter volume. DISCUSSION Gait slowness in APOE E4 carriers with neurodegenerative diseases may indicate extensive gray matter changes associated with poor cognition. HIGHLIGHTS APOE E4 and slow gait are risk factors for cognitive decline in neurodegenerative diseases. Slow gait and smaller gray matter volumes are associated, independently of APOE E4. Worse cognition in APOE E4 carriers with slow gait is explained by smaller GM volume. Gait slowness in APOE E4 carriers indicates poorer cognition-related brain changes.
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Affiliation(s)
- Ryota Sakurai
- Research Team for Social Participation and Healthy Aging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
- Gait & Brain Lab, St. Joseph' Health Care London, Lawson Health Research, Western University, Division of Geriatric Medicine, London, Ontario, Canada
| | - Frederico Pieruccini-Faria
- Gait & Brain Lab, St. Joseph' Health Care London, Lawson Health Research, Western University, Division of Geriatric Medicine, London, Ontario, Canada
- Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, Western University, Parkwood Institute, London, Ontario, Canada
| | - Benjamin Cornish
- Neuroscience, Mobility and Balance Lab, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Julia Fraser
- Neuroscience, Mobility and Balance Lab, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Malcolm A Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Derek Beaton
- Data Science and Advanced Analytics, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Allison Ann Dilliott
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | | | - Kelly M Sunderland
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Carmela Tartaglia
- Krembil Brain Institute, University Health Network Memory Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Lorne Zinman
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Morris Freedman
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Paula M McLaughlin
- Halifax Clinical Psychology Residency Program, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
| | - Richard H Swartz
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Sean Symons
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Anthony E Lang
- Division of Neurology, Department of Medicine, Edmond J Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, Ontario, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Robert A Hegele
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
| | - William McIlroy
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Manuel Montero-Odasso
- Gait & Brain Lab, St. Joseph' Health Care London, Lawson Health Research, Western University, Division of Geriatric Medicine, London, Ontario, Canada
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, Western University, London, Ontario, Canada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, Parkwood Institute, London, Ontario, Canada
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Rashidi-Ranjbar N, Churchill NW, Black SE, Kumar S, Tartaglia MC, Freedman M, Lang A, Steeves TDL, Swartz RH, Saposnik G, Sahlas D, McLaughlin P, Symons S, Strother S, Pollock BG, Rajji TK, Ozzoude M, Tan B, Arnott SR, Bartha R, Borrie M, Masellis M, Pasternak SH, Frank A, Seitz D, Ismail Z, Tang-Wai DF, Casaubon LK, Mandzia J, Jog M, Scott CJM, Dowlatshahi D, Hassan A, Grimes D, Marras C, Zamyadi M, Munoz DG, Ramirez J, Berezuk C, Holmes M, Fischer CE, Schweizer TA. Neuropsychiatric symptoms and brain morphology in patients with mild cognitive impairment, cerebrovascular disease and Parkinson disease: A cross sectional and longitudinal study. Int J Geriatr Psychiatry 2024; 39:e6074. [PMID: 38491809 DOI: 10.1002/gps.6074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 03/03/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES Neuropsychiatric symptoms (NPS) increase risk of developing dementia and are linked to various neurodegenerative conditions, including mild cognitive impairment (MCI due to Alzheimer's disease [AD]), cerebrovascular disease (CVD), and Parkinson's disease (PD). We explored the structural neural correlates of NPS cross-sectionally and longitudinally across various neurodegenerative diagnoses. METHODS The study included individuals with MCI due to AD, (n = 74), CVD (n = 143), and PD (n = 137) at baseline, and at 2-years follow-up (MCI due to AD, n = 37, CVD n = 103, and PD n = 84). We assessed the severity of NPS using the Neuropsychiatric Inventory Questionnaire. For brain structure we included cortical thickness and subcortical volume of predefined regions of interest associated with corticolimbic and frontal-executive circuits. RESULTS Cross-sectional analysis revealed significant negative correlations between appetite with both circuits in the MCI and CVD groups, while apathy was associated with these circuits in both the MCI and PD groups. Longitudinally, changes in apathy scores in the MCI group were negatively linked to the changes of the frontal-executive circuit. In the CVD group, changes in agitation and nighttime behavior were negatively associated with the corticolimbic and frontal-executive circuits, respectively. In the PD group, changes in disinhibition and apathy were positively associated with the corticolimbic and frontal-executive circuits, respectively. CONCLUSIONS The observed correlations suggest that underlying pathological changes in the brain may contribute to alterations in neural activity associated with MBI. Notably, the difference between cross-sectional and longitudinal results indicates the necessity of conducting longitudinal studies for reproducible findings and drawing robust inferences.
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Affiliation(s)
- Neda Rashidi-Ranjbar
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Nathan W Churchill
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandra E Black
- Division of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program Sunnybrook Health Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sanjeev Kumar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Maria C Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Morris Freedman
- Division of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Anthony Lang
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- The Edmond J. Safra Program in Parkinson's Disease, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Thomas D L Steeves
- Division of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Richard H Swartz
- Division of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program Sunnybrook Health Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Gustavo Saposnik
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Clinical Outcomes and Decision Neuroscience Unit, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Dametrios Sahlas
- McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Paula McLaughlin
- Nova Scotia Health, Halifax, Nova Scotia, Canada
- Departments of Medicine (Geriatrics) and Psychology & Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Stephen Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Bruce G Pollock
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tarek K Rajji
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program Sunnybrook Health Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Department of Psychology, Faculty of Health, York University, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, Ontario, Canada
| | - Michael Borrie
- Nova Scotia Health, Halifax, Nova Scotia, Canada
- Departments of Medicine (Geriatrics) and Psychology & Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Mario Masellis
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- St. Joseph's Healthcare Centre, London, Ontario, Canada
| | - Stephen H Pasternak
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- St. Joseph's Healthcare Centre, London, Ontario, Canada
| | - Andrew Frank
- Bruyère Research Institute, Ottawa, Ontario, Canada
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - David F Tang-Wai
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Leanne K Casaubon
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Jennifer Mandzia
- St. Joseph's Healthcare Centre, London, Ontario, Canada
- London Health Sciences Centre, London, Ontario, Canada
| | - Mandar Jog
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Christopher J M Scott
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program Sunnybrook Health Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute (TBRHRI), Northern Ontario School of Medicine University (NOSMU), Thunder Bay, Ontario, Canada
| | - David Grimes
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Connie Marras
- The Edmond J. Safra Program in Parkinson's Disease, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - David G Munoz
- Division of Neurosurgery, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Joel Ramirez
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Courtney Berezuk
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Melissa Holmes
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tom A Schweizer
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Wong D, Bellyou M, Li A, Prado MAM, Beauchet O, Annweiler C, Montero-Odasso M, Bartha R. Magnetic resonance spectroscopy in the hippocampus of adult APP/PS1 mice following chronic vitamin D deficiency. Behav Brain Res 2024; 457:114713. [PMID: 37838248 DOI: 10.1016/j.bbr.2023.114713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/28/2023] [Accepted: 10/10/2023] [Indexed: 10/16/2023]
Abstract
Vitamin D (VitD) deficiency can exacerbate AD progression and may cause changes in brain metabolite levels that can be detected by magnetic resonance spectroscopy (MRS). The purpose of this study was to determine whether chronic VitD deficiency in an AD mouse model caused persistent metabolite levels changes in the hippocampus associated with memory performance. Six-month-old APPSwe/PS1ΔE9 (APP/PS1) mice (N = 14 mice/group) were fed either a VitD deficient (VitD-) diet or a control diet. Metabolite level changes in the hippocampus were evaluated by 1H MRS using a 9.4 T MRI. Ventricle volume was assessed by imaging and spatial memory was evaluated using the Barnes maze. All measurements were made at 6, 9, 12, and 15 months of age. At 15 months of age, amyloid plaque load and astrocyte number were evaluated histologically (N = 4 mice/group). Levels of N-acetyl aspartate and creatine were lower in VitD- mice compared to control diet mice at 12 months of age. VitD deficiency did not change ventricle volume. Lactate levels increased over time in VitD- mice and increases from 12 to 15 months were negatively correlated with changes in primary latency to the target hole in the Barns Maze. VitD- mice showed improved spatial memory performance compared to control diet mice. VitD- mice also had more astrocytes in the cortex and hippocampus at 15 months than control diet mice. This study suggests that severe VitD deficiency in APP/PS1 mice may lead to compensatory changes in metabolite and astrocyte levels that contribute to improved performance on spatial memory tasks.
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Affiliation(s)
- Dickson Wong
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Miranda Bellyou
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Alex Li
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Marco A M Prado
- Department of Anatomy and Cell Biology, Western University, London, ON, Canada; Department of Physiology and Pharmacology, Western University, London, ON, Canada
| | | | - Cédric Annweiler
- Department of Geriatric Medicine and Memory Clinic, Research Center on Autonomy and Longevity, University Hospital, Angers, France
| | - Manuel Montero-Odasso
- Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, Western University, London, ON, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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Cronin AE, Liebig P, Detombe SA, Duggal N, Bartha R. Reproducibility of 3D pH-weighted chemical exchange saturation transfer contrast in the healthy cervical spinal cord. NMR Biomed 2024. [PMID: 38243648 DOI: 10.1002/nbm.5103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/01/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024]
Abstract
Spinal cord ischemia and hypoxia can be caused by compression, injury, and vascular alterations. Measuring ischemia and hypoxia directly in the spinal cord noninvasively remains challenging. Ischemia and hypoxia alter tissue pH, providing a physiologic parameter that may be more directly related to tissue viability. Chemical exchange saturation transfer (CEST) is an MRI contrast mechanism that can be made sensitive to pH. More specifically, amine/amide concentration independent detection (AACID) is a recently developed endogenous CEST contrast that has demonstrated sensitivity to intracellular pH at 9.4 T. The goal of this study was to evaluate the reproducibility of AACID CEST measurements at different levels of the healthy cervical spinal cord at 3.0 T incorporating B1 correction. Using a 3.0 T MRI scanner, two 3D CEST scans (saturation pulse train followed by a 3D snapshot gradient-echo readout) were performed on 12 healthy subjects approximately 10 days apart, with the CEST volume centered at the C4 level for all subjects. Scan-rescan reproducibility was evaluated by examining between and within-subject coefficients of variation (CVs) and absolute AACID value differences. The C4 level of the spinal cord demonstrated the lowest within-subject CVs (4.1%-4.3%), between-subject CVs (5.6%-6.3%), and absolute AACID percent difference (5.8-6.1%). The B1 correction scheme significantly improved reproducibility (adjusted p-value = 0.002) compared with the noncorrected data, suggesting that implementing B1 corrections in the spinal cord is beneficial. It was concluded that pH-weighted AACID measurements, incorporating B1 -inhomogeneity correction, were reproducible within subjects along the healthy cervical spinal cord and that optimal image quality was achieved at the center of the 3D CEST volume.
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Affiliation(s)
- Alicia E Cronin
- Department of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | | | - Sarah A Detombe
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Neil Duggal
- Department of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
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Friesen AC, Detombe SA, Doyle-Pettypiece P, Ng W, Gurr K, Bailey C, Rasoulinejad P, Siddiqi F, Bartha R, Duggal N. Characterizing mJOA-defined post-surgical recovery patterns in patients with degenerative cervical myelopathy. World Neurosurg X 2024; 21:100267. [PMID: 38193094 PMCID: PMC10772397 DOI: 10.1016/j.wnsx.2023.100267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 07/11/2023] [Accepted: 11/28/2023] [Indexed: 01/10/2024] Open
Abstract
Background Degenerative cervical myelopathy is a spinal disorder resulting in progressive cord compression and neurological deficits that are assessed using the modified Japanese Orthopedic Association (mJOA) questionnaire. It is difficult to predict which patients will recover neurological function after surgery, making it challenging for clinicians to set postoperative patient expectations. In this study, we used mJOA subscores to identify patterns of recovery and recovery timelines in patients with moderate and severe myelopathy. Methods Fifty-three myelopathy patients were enrolled and completed the mJOA questionnaire both pre-surgery, and six weeks and six months post-surgery. Pearson chi-square tests were performed to assess relationships of both recovery patterns and recovery timelines with severity of disease. Results Moderate myelopathy patients were significantly more likely than severe myelopathy patients to experience full recovery of upper extremity, lower extremity, and sensory domains. Disease severity did not significantly impact the timeline during which recovery occurs. Overall, >90% of patients experienced at least partial recovery by six months post surgery, 80% of which demonstrated it within the first six weeks. Conclusions This study shows the more severe the disease experienced by myelopathy patients, the more likely they will be left with permanent disabilities despite surgery. Early identification and treatment are therefore necessary to prevent worsening quality of life and increased costs of functional dependence. The recovery timelines for each subscore are similar and provide new values to guide patient expectations in their potential post-operative recovery. The overall recovery timeline is more generalizable though potentially lacking the specificity patients seek.
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Affiliation(s)
- Alexander C. Friesen
- Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Sarah A. Detombe
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Pat Doyle-Pettypiece
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Wai Ng
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Kevin Gurr
- Department of Orthopedics, London Health Sciences Centre, London, Ontario, Canada
| | - Chris Bailey
- Department of Orthopedics, London Health Sciences Centre, London, Ontario, Canada
| | - Parham Rasoulinejad
- Department of Orthopedics, London Health Sciences Centre, London, Ontario, Canada
| | - Fawaz Siddiqi
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
- Department of Orthopedics, London Health Sciences Centre, London, Ontario, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Neil Duggal
- Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
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Wang M, Ching-Johnson JA, Yin H, O’Neil C, Li AX, Chu MWA, Bartha R, Pickering JG. Mapping microarchitectural degeneration in the dilated ascending aorta with ex vivo diffusion tensor imaging. Eur Heart J Open 2024; 4:oead128. [PMID: 38162403 PMCID: PMC10755346 DOI: 10.1093/ehjopen/oead128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/26/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024]
Abstract
Aims Thoracic aortic aneurysms (TAAs) carry a risk of catastrophic dissection. Current strategies to evaluate this risk entail measuring aortic diameter but do not image medial degeneration, the cause of TAAs. We sought to determine if the advanced magnetic resonance imaging (MRI) acquisition strategy, diffusion tensor imaging (DTI), could delineate medial degeneration in the ascending thoracic aorta. Methods and results Porcine ascending aortas were subjected to enzyme microinjection, which yielded local aortic medial degeneration. These lesions were detected by DTI, using a 9.4 T MRI scanner, based on tensor disorientation, disrupted diffusion tracts, and altered DTI metrics. High-resolution spatial analysis revealed that fractional anisotropy positively correlated, and mean and radial diffusivity inversely correlated, with smooth muscle cell (SMC) and elastin content (P < 0.001 for all). Ten operatively harvested human ascending aorta samples (mean subject age 61.6 ± 13.3 years, diameter range 29-64 mm) showed medial pathology that was more diffuse and more complex. Nonetheless, DTI metrics within an aorta spatially correlated with SMC, elastin, and, especially, glycosaminoglycan (GAG) content. Moreover, there were inter-individual differences in slice-averaged DTI metrics. Glycosaminoglycan accumulation and elastin degradation were captured by reduced fractional anisotropy (R2 = 0.47, P = 0.043; R2 = 0.76, P = 0.002), with GAG accumulation also captured by increased mean diffusivity (R2 = 0.46, P = 0.045) and increased radial diffusivity (R2 = 0.60, P = 0.015). Conclusion Ex vivo high-field DTI can detect ascending aorta medial degeneration and can differentiate TAAs in accordance with their histopathology, especially elastin and GAG changes. This non-destructive window into aortic medial microstructure raises prospects for probing the risks of TAAs beyond lumen dimensions.
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Affiliation(s)
- Mofei Wang
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
- Department of Biochemistry, Western University, 1151 Richmond St. N. London, Canada, N6A 3K7
| | - Justin A Ching-Johnson
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
- Department of Medical Biophysics, Western University, 1151 Richmond St. N. London, Canada, N6A 3K7
| | - Hao Yin
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
| | - Caroline O’Neil
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
| | - Alex X Li
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
| | - Michael W A Chu
- Department of Surgery, Western University, 1151 Richmond St. N. London, Canada, N6A 3K7
- London Health Sciences Centre, 339 Windermere Rd, London, Ontario, Canada, N6A 5A5
| | - Robert Bartha
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
- Department of Medical Biophysics, Western University, 1151 Richmond St. N. London, Canada, N6A 3K7
| | - J Geoffrey Pickering
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N. London, Canada, N6A 5B7
- Department of Biochemistry, Western University, 1151 Richmond St. N. London, Canada, N6A 3K7
- Department of Medical Biophysics, Western University, 1151 Richmond St. N. London, Canada, N6A 3K7
- London Health Sciences Centre, 339 Windermere Rd, London, Ontario, Canada, N6A 5A5
- Department of Medicine, Western University, 1151 Richmond St. N. London, Canada N6A 3K7
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7
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Dilliott AA, Berberian SA, Sunderland KM, Binns MA, Zimmer J, Ozzoude M, Scott CJM, Gao F, Lang AE, Breen DP, Tartaglia MC, Tan B, Swartz RH, Rogaeva E, Borrie M, Finger E, Fischer CE, Frank A, Freedman M, Kumar S, Pasternak S, Pollock BG, Rajji TK, Tang-Wai DF, Abrahao A, Turnbull J, Zinman L, Casaubon L, Dowlatshahi D, Hassan A, Mandzia J, Sahlas D, Saposnik G, Grimes D, Marras C, Steeves T, Masellis M, Farhan SMK, Bartha R, Symons S, Hegele RA, Black SE, Ramirez J. Rare neurovascular genetic and imaging markers across neurodegenerative diseases. Alzheimers Dement 2023; 19:5583-5595. [PMID: 37272523 DOI: 10.1002/alz.13316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 06/06/2023]
Abstract
INTRODUCTION Cerebral small vessel disease (SVD) is common in patients with cognitive impairment and neurodegenerative diseases such as Alzheimer's and Parkinson's. This study investigated the burden of magnetic resonance imaging (MRI)-based markers of SVD in patients with neurodegenerative diseases as a function of rare genetic variant carrier status. METHODS The Ontario Neurodegenerative Disease Research Initiative study included 520 participants, recruited from 14 tertiary care centers, diagnosed with various neurodegenerative diseases and determined the carrier status of rare non-synonymous variants in five genes (ABCC6, COL4A1/COL4A2, NOTCH3/HTRA1). RESULTS NOTCH3/HTRA1 were found to significantly influence SVD neuroimaging outcomes; however, the mechanisms by which these variants contribute to disease progression or worsen clinical correlates are not yet understood. DISCUSSION Further studies are needed to develop genetic and imaging neurovascular markers to enhance our understanding of their potential contribution to neurodegenerative diseases.
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Affiliation(s)
- Allison A Dilliott
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
| | - Stephanie A Berberian
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Kelly M Sunderland
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Malcolm A Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Julia Zimmer
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
| | - Miracle Ozzoude
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Christopher J M Scott
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Fuqiang Gao
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Anthony E Lang
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh; Anne Rowling Regenerative Neurology Clinic, University of Edinburgh; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Maria C Tartaglia
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Richard H Swartz
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Michael Borrie
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- St. Joseph's Healthcare Centre, London, Ontario, Canada
| | - Elizabeth Finger
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Andrew Frank
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Morris Freedman
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Baycrest Health Sciences, Mt. Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Sanjeev Kumar
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Stephen Pasternak
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Bruce G Pollock
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Tarek K Rajji
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Toronto Dementia Research Alliance, University of Toronto, Toronto, Ontario, Canada
| | - David F Tang-Wai
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
| | - Agessandro Abrahao
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
| | - John Turnbull
- Division of Neurology, Department of Medicine, Hamilton Health Sciences, McMaster University, Hamilton, Canada
| | - Lorne Zinman
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
| | - Leanne Casaubon
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada
| | - Jennifer Mandzia
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Demetrios Sahlas
- Division of Neurology, Department of Medicine, Hamilton Health Sciences, McMaster University, Hamilton, Canada
| | - Gustavo Saposnik
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - David Grimes
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Thomas Steeves
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
| | - Sali M K Farhan
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
| | - Robert Bartha
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Robert A Hegele
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Sandra E Black
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences and University of Toronto, Ontario, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
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8
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Zebarth J, Kamal R, Perlman G, Ouk M, Xiong LY, Yu D, Lin WZ, Ramirez J, Masellis M, Goubran M, MacIntosh BJ, Black SE, Cogo-Moreira H, Scott CJM, Bartha R, Symons S, Haddad SMH, Ozzoude M, Nanayakkara N, Beaton D, Arnott S, Dowlatshahi D, Swartz RH, Saposnik G, Grimes D, Lang A, Fischer CE, Frank A, Kumar S, Pollock BG, Tang-Wai D, Finger E, Rabin JS, Swardfager W. Perivascular spaces mediate a relationship between diabetes and other cerebral small vessel disease markers in cerebrovascular and neurodegenerative diseases. J Stroke Cerebrovasc Dis 2023; 32:107273. [PMID: 37542762 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/13/2023] [Accepted: 07/20/2023] [Indexed: 08/07/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) and hypertension are risk factors for cerebral small vessel disease (SVD); however, few studies have characterised their relationships with MRI-visible perivascular spaces (PVS). MRI was used to quantify deep (d) and periventricular (p) white matter hyperintensities (WMH), lacunes, PVS in the white matter (wmPVS) or basal ganglia (bgPVS), and diffusion metrics in white matter. Patients with T2DM had greater wmPVS volume and there were greater wmPVS volumes in patients with T2DM and hypertension together. Counterfactual moderated mediation models found indirect effects of T2DM on volumes of other SVD and diffusion markers that were mediated by wmPVS: pWMH, dWMH, periventricular lacunes, and deep lacunes, and progression of deep lacunes over 1 year, in patients with hypertension, but not in patients without hypertension. Studying the regulation of cortical perivascular fluid dynamics may reveal mechanisms that mediate the impact of T2DM on cerebral small vessels.
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Affiliation(s)
- Julia Zebarth
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Radia Kamal
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - George Perlman
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Michael Ouk
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Lisa Y Xiong
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Di Yu
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - William Z Lin
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Joel Ramirez
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Mario Masellis
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Maged Goubran
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Princess Margret Cancer Research Tower 101 College Street Room 15-701, Toronto M5G 1L7, Canada
| | - Bradley J MacIntosh
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Princess Margret Cancer Research Tower 101 College Street Room 15-701, Toronto M5G 1L7, Canada
| | - Sandra E Black
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Hugo Cogo-Moreira
- Department of Education, Østfold University College, 1757 B R A Veien 4, Halden 1757, Norway
| | - Christopher J M Scott
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Western University, Medical Sciences building Room M407, London, Ontario N6A 5C1, Canada
| | - Sean Symons
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Seyyed M H Haddad
- Center for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 1151 Richmond Street, London, Ontario N6A 3K7, Canada
| | - Miracle Ozzoude
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Nuwan Nanayakkara
- Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, Ontario N6A 5K8, Canada
| | - Derek Beaton
- Data Science and Advanced Analytics (DSAA), St. Michael's Hospital, Unity Health Toronto, 36 Queen Street East, Toronto, Ontario M5B 1W8, Canada
| | - Stephen Arnott
- Rotman Research Institute, Baycrest Centre, 3560 Bathurst Street, Toronto, Ontario M6A 2E1, Canada
| | - Dariush Dowlatshahi
- Division of Neurology, Department of Medicine, Ottawa Hospital Research Institute, University of Ottawa, 725 Parkdale Ave, Ottawa, Ontario K1Y 4E9, Canada
| | - Richard H Swartz
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Gustavo Saposnik
- Stroke Outcomes and Decision Neuroscience Research Unit, Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
| | - David Grimes
- Division of Neurology, Department of Medicine, Ottawa Hospital Research Institute, University of Ottawa, 725 Parkdale Ave, Ottawa, Ontario K1Y 4E9, Canada
| | - Anthony Lang
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada; Division of Neurology, Temerty Faculty of Medicine, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, Unity Health, 209 Victoria Street, Toronto, Ontario M5B 1T8, Canada
| | - Andrew Frank
- Bruyère Research Institute, University of Ottawa, 85 Primrose Avenue, Ottawa, Ontario K1R 6M1, Canada
| | - Sanjeev Kumar
- Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, 1001 Queen Street West, Toronto, Ontario M6J 1H4, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, 250 College Street, Toronto M5T 1R8, Canada
| | - Bruce G Pollock
- Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health 475 Spadina Avenue, Toronto, Ontario M5S 2S1, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, 250 College Street, Toronto M5T 1R8, Canada
| | - David Tang-Wai
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada; Division of Neurology, Temerty Faculty of Medicine, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Toronto Western Hospital, University Health Network Memory Clinic, 399 Bathurst Street, Toronto M5T 2S8, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Western University, 550 Wellington Road, London, Ontario N6C 0A7, Canada
| | - Jennifer S Rabin
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Harquail Centre for Neuromodulation, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 2109, Toronto, Ontario M5S 1A8, Canada
| | - Walter Swardfager
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Thunder Bay Regional Health Research Institute, 1040 Oliver Road, Thunder Bay, Ontario P7B 7A5, Canada.
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Boone L, Biparva M, Mojiri Forooshani P, Ramirez J, Masellis M, Bartha R, Symons S, Strother S, Black SE, Heyn C, Martel AL, Swartz RH, Goubran M. ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. Neuroimage 2023; 278:120289. [PMID: 37495197 DOI: 10.1016/j.neuroimage.2023.120289] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/26/2023] [Accepted: 07/20/2023] [Indexed: 07/28/2023] Open
Abstract
Deep artificial neural networks (DNNs) have moved to the forefront of medical image analysis due to their success in classification, segmentation, and detection challenges. A principal challenge in large-scale deployment of DNNs in neuroimage analysis is the potential for shifts in signal-to-noise ratio, contrast, resolution, and presence of artifacts from site to site due to variances in scanners and acquisition protocols. DNNs are famously susceptible to these distribution shifts in computer vision. Currently, there are no benchmarking platforms or frameworks to assess the robustness of new and existing models to specific distribution shifts in MRI, and accessible multi-site benchmarking datasets are still scarce or task-specific. To address these limitations, we propose ROOD-MRI: a novel platform for benchmarking the Robustness of DNNs to Out-Of-Distribution (OOD) data, corruptions, and artifacts in MRI. This flexible platform provides modules for generating benchmarking datasets using transforms that model distribution shifts in MRI, implementations of newly derived benchmarking metrics for image segmentation, and examples for using the methodology with new models and tasks. We apply our methodology to hippocampus, ventricle, and white matter hyperintensity segmentation in several large studies, providing the hippocampus dataset as a publicly available benchmark. By evaluating modern DNNs on these datasets, we demonstrate that they are highly susceptible to distribution shifts and corruptions in MRI. We show that while data augmentation strategies can substantially improve robustness to OOD data for anatomical segmentation tasks, modern DNNs using augmentation still lack robustness in more challenging lesion-based segmentation tasks. We finally benchmark U-Nets and vision transformers, finding robustness susceptibility to particular classes of transforms across architectures. The presented open-source platform enables generating new benchmarking datasets and comparing across models to study model design that results in improved robustness to OOD data and corruptions in MRI.
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Affiliation(s)
- Lyndon Boone
- Department of Medical Biophysics, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada.
| | - Mahdi Biparva
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Parisa Mojiri Forooshani
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Western University, London, Canada; Robarts Research Institute, Western University, London, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Stephen Strother
- Department of Medical Biophysics, University of Toronto, Toronto, Canada; Rotman Research Institute, Baycrest, Toronto, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada
| | - Chris Heyn
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Anne L Martel
- Department of Medical Biophysics, University of Toronto, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada
| | - Maged Goubran
- Department of Medical Biophysics, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada.
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Hunter SW, Motala A, Cronin AE, Bartha R, Viana R, Payne MW. Cortical activation during imagined walking for people with lower limb loss: a pilot study. Front Hum Neurosci 2023; 17:1163526. [PMID: 37476004 PMCID: PMC10354232 DOI: 10.3389/fnhum.2023.1163526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023] Open
Abstract
Each year in Canada, a substantial number of adults undergo limb amputation, with lower limb amputation (LLA) the most prevalent. Enhancing walking ability is crucial for optimizing rehabilitation outcomes, promoting participation, and facilitating community reintegration. Overcoming challenges during the acute post-amputation phase and sub-acute rehabilitation necessitates alternative approaches, such as motor imagery and mental practice, to maximize rehabilitation success. However, the current evidence on activation patterns using motor imagery in individuals with LLA is limited. The primary objective was to assess the feasibility of observing brain activation during imagined walking in individuals with LLA utilizing 3T functional magnetic resonance imaging (fMRI). Eight individuals with LLA and 11 control subjects participated. Consistent with representations of the lower limbs, both control and amputee groups demonstrated bilateral activation in the medial surface of the primary motor and somatosensory cortices. However, individuals with lower limb amputations exhibited significantly greater activation during imagined walking, particularly in frontal regions and the medial surface of the primary motor and supplementary motor cortices. Furthermore, the volume of activation in the bilateral primary motor cortices was higher for participants with amputations compared to controls. The protocol developed in this study establishes a foundation for evaluating the effects of a gait training program that incorporates mental imagery alongside conventional rehabilitation practices, in contrast to standard care alone. This pilot investigation holds potential to enhance our understanding of brain plasticity in individuals with LLA and pave the way for more effective rehabilitation strategies to optimize functional recovery and community reintegration.
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Affiliation(s)
- Susan W. Hunter
- School of Physical Therapy, The University of Western Ontario, London, ON, Canada
| | - Aysha Motala
- School of Psychology, The University of Stirling, Stirling, Scotland
| | - Alicia E. Cronin
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, ON, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, ON, Canada
| | - Ricardo Viana
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
| | - Michael W. Payne
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
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Mozaffari M, Nyström NN, Li A, Bellyou M, Scholl TJ, Bartha R. Intracellular Acidification in a Rat C6 Glioma Model following Cariporide Injection Investigated by CEST-MRI. Metabolites 2023; 13:823. [PMID: 37512530 PMCID: PMC10386045 DOI: 10.3390/metabo13070823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/30/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Acidification of cancerous tissue induced pharmacologically may slow tumor growth and can be detected using magnetic resonance imaging. Numerous studies have shown that pharmacologically inhibiting specific transporters, such as the Na+/H+ exchanger 1 (NHE1), can alter glycolitic metabolism and affect tumor acidosis. The sodium proton exchanger inhibitor Cariporide can acidify U87MG gliomas in mice. This study aimed to determine whether Cariporide could acidify C6 glioma tumors in rats with an intact immune system. C6 glioma cells were implanted in the right brain hemisphere of ten rats. Chemical exchange saturation transfer (CEST) MRI (9.4T) was acquired on days 7-8 and 14-15 after implantation to measure in vivo tissue intracellular pH (pHi) within the tumors and on the contralateral side. pHi was basic relative to contralateral tissue at both time points assessed using the amine and amide concentration-independent detection (AACID) value. On day 14-15, measurements were made before and up to 160 min after Cariporide injection (N = 6). Twenty minutes after drug injection, the average AACID value in the tumor significantly increased by ∼6.4% compared to pre-injection, corresponding to 0.31 ± 0.20 lower pHi, while in contralateral tissue, AACID value increased significantly by ∼4.3% compared to pre-injection, corresponding to 0.22 ± 0.19 lower pHi. Control rats without tumors showed no changes following injection of Cariporide dissolved in 10% or 1% DMSO and diluted in PBS. This study demonstrates the sensitivity of CEST-based pH-weighted imaging for monitoring the response of tumors to pharmacologically induced acidification.
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Affiliation(s)
- Maryam Mozaffari
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
| | - Nivin N Nyström
- Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Alex Li
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
| | - Miranda Bellyou
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
| | - Timothy J Scholl
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
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12
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Ozzoude M, Varriano B, Beaton D, Ramirez J, Adamo S, Holmes MF, Scott CJM, Gao F, Sunderland KM, McLaughlin P, Goubran M, Kwan D, Roberts A, Bartha R, Symons S, Tan B, Swartz RH, Abrahao A, Saposnik G, Masellis M, Lang AE, Marras C, Zinman L, Shoesmith C, Borrie M, Fischer CE, Frank A, Freedman M, Montero-Odasso M, Kumar S, Pasternak S, Strother SC, Pollock BG, Rajji TK, Seitz D, Tang-Wai DF, Turnbull J, Dowlatshahi D, Hassan A, Casaubon L, Mandzia J, Sahlas D, Breen DP, Grimes D, Jog M, Steeves TDL, Arnott SR, Black SE, Finger E, Rabin J, Tartaglia MC. White matter hyperintensities and smaller cortical thickness are associated with neuropsychiatric symptoms in neurodegenerative and cerebrovascular diseases. Alzheimers Res Ther 2023; 15:114. [PMID: 37340319 PMCID: PMC10280981 DOI: 10.1186/s13195-023-01257-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 06/01/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) are a core feature of most neurodegenerative and cerebrovascular diseases. White matter hyperintensities and brain atrophy have been implicated in NPS. We aimed to investigate the relative contribution of white matter hyperintensities and cortical thickness to NPS in participants across neurodegenerative and cerebrovascular diseases. METHODS Five hundred thirteen participants with one of these conditions, i.e. Alzheimer's Disease/Mild Cognitive Impairment, Amyotrophic Lateral Sclerosis, Frontotemporal Dementia, Parkinson's Disease, or Cerebrovascular Disease, were included in the study. NPS were assessed using the Neuropsychiatric Inventory - Questionnaire and grouped into hyperactivity, psychotic, affective, and apathy subsyndromes. White matter hyperintensities were quantified using a semi-automatic segmentation technique and FreeSurfer cortical thickness was used to measure regional grey matter loss. RESULTS Although NPS were frequent across the five disease groups, participants with frontotemporal dementia had the highest frequency of hyperactivity, apathy, and affective subsyndromes compared to other groups, whilst psychotic subsyndrome was high in both frontotemporal dementia and Parkinson's disease. Results from univariate and multivariate results showed that various predictors were associated with neuropsychiatric subsyndromes, especially cortical thickness in the inferior frontal, cingulate, and insula regions, sex(female), global cognition, and basal ganglia-thalamus white matter hyperintensities. CONCLUSIONS In participants with neurodegenerative and cerebrovascular diseases, our results suggest that smaller cortical thickness and white matter hyperintensity burden in several cortical-subcortical structures may contribute to the development of NPS. Further studies investigating the mechanisms that determine the progression of NPS in various neurodegenerative and cerebrovascular diseases are needed.
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Affiliation(s)
- Miracle Ozzoude
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 2S8, Canada
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Psychology, Faculty of Health, York University, Toronto, ON, Canada
| | - Brenda Varriano
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 2S8, Canada
- Central Michigan University College of Medicine, Mount Pleasant, MI, USA
| | - Derek Beaton
- Data Science & Advanced Analytic, St. Michael's Hospital, Toronto, ON, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Sabrina Adamo
- Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Scarborough, ON, Canada
| | - Melissa F Holmes
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher J M Scott
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Fuqiang Gao
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | | | - Maged Goubran
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
- Queen's University, Kingston, ON, Canada
| | - Angela Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, ON, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, ON, Canada
| | - Sean Symons
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brian Tan
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Richard H Swartz
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Agessandro Abrahao
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Gustavo Saposnik
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Anthony E Lang
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Connie Marras
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Lorne Zinman
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Michael Borrie
- Robarts Research Institute, Western University, London, ON, Canada
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Corinne E Fischer
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada
| | - Andrew Frank
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
- Bruyère Research Institute, Ottawa, ON, Canada
| | - Morris Freedman
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Division of Neurology, Baycrest Health Sciences, Toronto, ON, Canada
| | - Manuel Montero-Odasso
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Lawsone Health Research Institute, London, ON, Canada
- Gait and Brain Lab, Parkwood Institute, London, ON, Canada
| | - Sanjeev Kumar
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Stephen Pasternak
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David F Tang-Wai
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - John Turnbull
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
| | - Leanne Casaubon
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- St. Joseph's Healthcare Centre, London, ON, Canada
| | - Demetrios Sahlas
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - David Grimes
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
| | - Mandar Jog
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- London Health Sciences Centre, London, ON, Canada
| | - Thomas D L Steeves
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Stephen R Arnott
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Jennifer Rabin
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 2S8, Canada.
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada.
- Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada.
- Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.
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13
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Pieruccini-Faria F, Cornish B, Binns M, Fraser J, Haddad SMH, Sunderland K, Ramirez J, Beaton D, Kwan D, Dilliott AA, Scott C, Sarquis-Adamson Y, Black A, Van Ooteghem K, Casaubon L, Dowlatshahi D, Hassan A, Mandzia J, Sahlas D, Saposnik G, Tan B, Hegele R, Bulman D, Ghani M, Robinson J, Rogaeva E, Farhan S, Symons S, Nanayakkara N, Arnott SR, Berezuk C, Holmes M, Adamo S, Ozzoude M, Zamyadi M, Lou W, Sujanthan S, Bartha R, Black SE, Swartz RH, McIlroy W, Montero-Odasso M. Association of Dual-Task Gait Cost and White Matter Hyperintensity Burden Poststroke: Results From the ONDRI. Neurorehabil Neural Repair 2023:15459683231177606. [PMID: 37269105 DOI: 10.1177/15459683231177606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
BACKGROUND Acute change in gait speed while performing a mental task [dual-task gait cost (DTC)], and hyperintensity magnetic resonance imaging signals in white matter are both important disability predictors in older individuals with history of stroke (poststroke). It is still unclear, however, whether DTC is associated with overall hyperintensity volume from specific major brain regions in poststroke. METHODS This is a cohort study with a total of 123 older (69 ± 7 years of age) participants with history of stroke were included from the Ontario Neurodegenerative Disease Research Initiative. Participants were clinically assessed and had gait performance assessed under single- and dual-task conditions. Structural neuroimaging data were analyzed to measure both, white matter hyperintensity (WMH) and normal appearing volumes. Percentage of WMH volume in frontal, parietal, occipital, and temporal lobes as well as subcortical hyperintensities in basal ganglia + thalamus were the main outcomes. Multivariate models investigated associations between DTC and hyperintensity volumes, adjusted for age, sex, years of education, global cognition, vascular risk factors, APOE4 genotype, residual sensorimotor symptoms from previous stroke and brain volume. RESULTS There was a significant positive global linear association between DTC and hyperintensity burden (adjusted Wilks' λ = .87, P = .01). Amongst all WMH volumes, hyperintensity burden from basal ganglia + thalamus provided the most significant contribution to the global association (adjusted β = .008, η2 = .03; P = .04), independently of brain atrophy. CONCLUSIONS In poststroke, increased DTC may be an indicator of larger white matter damages, specifically in subcortical regions, which can potentially affect the overall cognitive processing and decrease gait automaticity by increasing the cortical control over patients' locomotion.
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Affiliation(s)
- Frederico Pieruccini-Faria
- Gait and Brain Lab, St. Joseph's Hospital, Parkwood Institute, Lawson Health Research Institute, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Benjamin Cornish
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Malcolm Binns
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Julia Fraser
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Seyyed M H Haddad
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Kelly Sunderland
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Derek Beaton
- Data Science & Advanced Analytics, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Allison A Dilliott
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Robarts Research Institute, Western University, London, ON, Canada
| | - Christopher Scott
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Yanina Sarquis-Adamson
- Gait and Brain Lab, St. Joseph's Hospital, Parkwood Institute, Lawson Health Research Institute, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Alanna Black
- Gait and Brain Lab, St. Joseph's Hospital, Parkwood Institute, Lawson Health Research Institute, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Karen Van Ooteghem
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Leanne Casaubon
- Department of Medicine, Sunnybrook HSC, University of Toronto; Dr. Sandra Black Centre for Brain Resilience and Recovery; Hurvitz Brain Sciences Research Program Director, Sunnybrook Research Institute; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Research Institute, Northern Ontario School of Medicine, Thunder Bay, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, and London Health Sciences Center, London, ON, Canada
| | - Demetrios Sahlas
- Division of Neurology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Gustavo Saposnik
- St. Michaels Hospital, University of Toronto, Toronto, ON, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Robert Hegele
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Dennis Bulman
- Department of Medicine, University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Mahdi Ghani
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - John Robinson
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Sali Farhan
- Department of Neurology and Neurosurgery, Department of Human Genetics, The Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Nuwan Nanayakkara
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Courtney Berezuk
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Melissa Holmes
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health; University of Toronto, Toronto, ON, Canada
| | - Sujeevini Sujanthan
- Department of Ophthalmology and Visual Sciences, Research Institute of the McGill University Health Center, Montreal, QC, Canada
| | - Robert Bartha
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Sandra E Black
- Department of Medicine, Sunnybrook HSC, University of Toronto; Dr. Sandra Black Centre for Brain Resilience and Recovery; Hurvitz Brain Sciences Research Program Director, Sunnybrook Research Institute; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - William McIlroy
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Manuel Montero-Odasso
- Department of Medicine (Geriatrics) and Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
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Bray NW, Pieruccini-Faria F, Witt ST, Bartha R, Doherty TJ, Nagamatsu LS, Almeida QJ, Liu-Ambrose T, Middleton LE, Bherer L, Montero-Odasso M. Combining exercise with cognitive training and vitamin D 3 to improve functional brain connectivity (FBC) in older adults with mild cognitive impairment (MCI). Results from the SYNERGIC trial. GeroScience 2023:10.1007/s11357-023-00805-6. [PMID: 37162700 PMCID: PMC10170058 DOI: 10.1007/s11357-023-00805-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 04/20/2023] [Indexed: 05/11/2023] Open
Abstract
Changes in functional brain connectivity (FBC) may indicate how lifestyle modifications can prevent the progression to dementia; FBC identifies areas that are spatially separate but temporally synchronized in their activation and is altered in those with mild cognitive impairment (MCI), a prodromal state between healthy cognitive aging and dementia. Participants with MCI were randomly assigned to one of five study arms. Three times per week for 20-weeks, participants performed 30-min of (control) cognitive training, followed by 60-min of (control) physical exercise. Additionally, a vitamin D3 (10,000 IU/pill) or a placebo capsule was ingested three times per week for 20-weeks. Using the CONN toolbox, we measured FBC change (Post-Pre) across four statistical models that collapsed for and/or included some or all study arms. We conducted Pearson correlations between FBC change and changes in physical and cognitive functioning. Our sample included 120 participants (mean age: 73.89 ± 6.50). Compared to the pure control, physical exercise (model one; p-False Discovery Rate (FDR) < 0.01 & < 0.05) with cognitive training (model two; p-FDR = < 0.001), and all three interventions combined (model four; p-FDR = < 0.01) demonstrated an increase in FBC between regions of the Default-Mode Network (i.e., hippocampus and angular gyrus). After controlling for false discovery rate, there were no significant correlations between change in connectivity and change in cognitive or physical function. Physical exercise alone appears to be as efficacious as combined interventional strategies in altering FBC, but implications for behavioral outcomes remain unclear.
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Affiliation(s)
- Nick W Bray
- Cumming School of Medicine, Department of Physiology & Pharmacology, University of Calgary, Calgary, AB, T2N 1N4, Canada.
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, T2N 1N4, Canada.
- Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, 550 Wellington Road, Room A3-116, London, ON, N6C-0A7, Canada.
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, 550 Wellington Road, Room A3-116, London, ON, N6C-0A7, Canada
- Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A-5C1, Canada
| | - Suzanne T Witt
- BrainsCAN, Western University, London, ON, N6A-3K7, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A-5C1, Canada
- Robarts Research Institute, Western University, London, ON, N6A-5B7, Canada
| | - Timothy J Doherty
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A-5C1, Canada
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A-5C1, Canada
| | - Lindsay S Nagamatsu
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, N6G-2V4, Canada
| | - Quincy J Almeida
- Faculty of Science, Department of Kinesiology and Physical Education, Wilfrid Laurier University, Waterloo, ON, N2L-3C5, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, V6T-1Z3, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Laura E Middleton
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, N2L-3G1, Canada
| | - Louis Bherer
- Department of Medicine, University of Montréal, Montréal, QC, H3T-1J4, Canada
- Research Centre, Montreal Heart Institute, Montréal, QC, H1T-1C8, Canada
| | - Manuel Montero-Odasso
- Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, 550 Wellington Road, Room A3-116, London, ON, N6C-0A7, Canada.
- Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A-5C1, Canada.
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A-5C1, Canada.
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15
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Pieruccini-Faria F, Hassan Haddad SM, Bray NW, Sarquis-Adamson Y, Bartha R, Montero-Odasso M. Brain Structural Correlates of Obstacle Negotiation in Mild Cognitive Impairment: Results from the Gait and Brain Study. Gerontology 2023; 69:1115-1127. [PMID: 37166343 DOI: 10.1159/000530796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 04/17/2023] [Indexed: 05/12/2023] Open
Abstract
INTRODUCTION Mild cognitive impairment (MCI) affects obstacle negotiation capabilities, potentially increasing the risk of falls in older adults. However, it is unclear whether smaller brain volumes typically observed in older individuals with MCI are related to the observed hazardous obstacle negotiation in this population. METHODS A total of 93 participants (71.9 ± 5.36 years of age; MCI = 53/control = 40) from the Gait and Brain Study were analyzed. Gray matter (GM) volumes from the frontal, temporal, and parietal lobes were entered in the analysis. Gait performance was recorded using a 6-m electronic walkway during two cognitive load conditions while approaching and stepping over an obstacle: (1) single-task and (2) while counting backwards by 1s from 100 (dual-task). Anticipatory adjustments in gait performance to cross an "ad hoc" obstacle were electronically measured during pre-crossing phases: early (3 steps before the late phase) and late (3 steps before obstacle). Association between the percentage of change in average gait speed and step length from early to late (i.e., anticipatory adjustments) and GM volumes was investigated using multivariate models adjusted for potential confounders. RESULTS Anticipatory adjustments in gait speed (Wilks' lambda: 0.35; Eta2: 0.64; p = 0.01) and step length (Wilks' lambda: 0.33; Eta2: 0.66; p = 0.01) during dual-task conditions were globally associated with GM volumes in MCI. Individuals with MCI with smaller GM volumes in the left inferior frontal gyrus, left hippocampus, right hippocampus, and right entorhinal cortex made significantly fewer anticipatory gait adjustments prior to crossing the obstacle. CONCLUSION Frontotemporal atrophy may affect obstacle negotiation capabilities potentially increasing the risk of falls in MCI.
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Affiliation(s)
- Frederico Pieruccini-Faria
- Division of Geriatric Medicine, Department of Medicine, Western University, London, Ontario, Canada
- Gait and Brain Lab, Parkwood Institute and Lawson Health Research Institute, London, Ontario, Canada
| | | | - Nickolas W Bray
- Gait and Brain Lab, Parkwood Institute and Lawson Health Research Institute, London, Ontario, Canada
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Yanina Sarquis-Adamson
- Gait and Brain Lab, Parkwood Institute and Lawson Health Research Institute, London, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Manuel Montero-Odasso
- Division of Geriatric Medicine, Department of Medicine, Western University, London, Ontario, Canada
- Gait and Brain Lab, Parkwood Institute and Lawson Health Research Institute, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
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16
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Carvalho de Abreu DC, Pieruccini-Faria F, Sarquis-Adamson Y, Black A, Fraser J, Van Ooteghem K, Cornish B, Grimes D, Jog M, Masellis M, Steeves T, Nanayakkara N, Ramirez J, Scott C, Holmes M, Ozzoude M, Berezuk C, Symons S, Mohammad Hassan Haddad S, Arnott SR, Binns M, Strother S, Beaton D, Sunderland K, Theyers A, Tan B, Zamyadi M, Levine B, Orange JB, Roberts AC, Lou W, Sujanthan S, Breen DP, Marras C, Kwan D, Adamo S, Peltsch A, Troyer AK, Black SE, McLaughlin PM, Lang AE, McIlroy W, Bartha R, Montero-Odasso M. White matter hyperintensity burden predicts cognitive but not motor decline in Parkinson's disease: results from the Ontario Neurodegenerative Diseases Research Initiative. Eur J Neurol 2023; 30:920-933. [PMID: 36692250 DOI: 10.1111/ene.15692] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 12/29/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE The pathophysiology of Parkinson's disease (PD) negatively affects brain network connectivity, and in the presence of brain white matter hyperintensities (WMHs) cognitive and motor impairments seem to be aggravated. However, the role of WMHs in predicting accelerating symptom worsening remains controversial. The objective was to investigate whether location and segmental brain WMH burden at baseline predict cognitive and motor declines in PD after 2 years. METHODS Ninety-eight older adults followed longitudinally from Ontario Neurodegenerative Diseases Research Initiative with PD of 3-8 years in duration were included. Percentages of WMH volumes at baseline were calculated by location (deep and periventricular) and by brain region (frontal, temporal, parietal, occipital lobes and basal ganglia + thalamus). Cognitive and motor changes were assessed from baseline to 2-year follow-up. Specifically, global cognition, attention, executive function, memory, visuospatial abilities and language were assessed as were motor symptoms evaluated using the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part III, spatial-temporal gait variables, Freezing of Gait Questionnaire and Activities Specific Balance Confidence Scale. RESULTS Regression analysis adjusted for potential confounders showed that total and periventricular WMHs at baseline predicted decline in global cognition (p < 0.05). Also, total WMH burden predicted the decline of executive function (p < 0.05). Occipital WMH volumes also predicted decline in global cognition, visuomotor attention and visuospatial memory declines (p < 0.05). WMH volumes at baseline did not predict motor decline. CONCLUSION White matter hyperintensity burden at baseline predicted cognitive but not motor decline in early to mid-stage PD. The motor decline observed after 2 years in these older adults with PD is probably related to the primary neurodegenerative process than comorbid white matter pathology.
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Affiliation(s)
- Daniela Cristina Carvalho de Abreu
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Department of Physical Therapy, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
| | | | - Alanna Black
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
| | - Julia Fraser
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Karen Van Ooteghem
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Benjamin Cornish
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - David Grimes
- Department of Medicine (Neurology), Ottawa Hospital Research Institute, University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Mandar Jog
- Division of Neurology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Mario Masellis
- Cognitive and Movement Disorders Clinic, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Steeves
- Division of Neurology, Department of Medicine, St Michael's Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Nuwan Nanayakkara
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Scott
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Holmes
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Courtney Berezuk
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Sean Symons
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | | | - Stephen R Arnott
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Malcolm Binns
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Stephen Strother
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Derek Beaton
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Kelly Sunderland
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Athena Theyers
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Brian Levine
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Joseph B Orange
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Canadian Centre for Activity and Aging, Western University, London, Ontario, Canada
| | - Angela C Roberts
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Canadian Centre for Activity and Aging, Western University, London, Ontario, Canada
- Department of Computer Science, Western University, London, Ontario, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sujeevini Sujanthan
- Department of Ophthalmology and Visual Sciences, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Connie Marras
- Edmond J Safra Program in Parkinson's Disease, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Sabrina Adamo
- Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Alicia Peltsch
- Faculty of Engineering and Applied Science, Queen's University, Kingston, Ontario, Canada
| | - Angela K Troyer
- Neuropsychology and Cognitive Health Program, Baycrest Health Sciences, Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | | | - Anthony E Lang
- Division of Neurology, Department of Medicine, Edmond J Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - William McIlroy
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, Canada
| | | | - Manuel Montero-Odasso
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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17
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Qi Q, Fox MS, Lim H, Sullivan R, Li A, Bellyou M, Desjardins L, McClennan A, Bartha R, Hoffman L, Scholl TJ, Lee TY, Thiessen JD. Glucose Infusion Induced Change in Intracellular pH and Its Relationship with Tumor Glycolysis in a C6 Rat Model of Glioblastoma. Mol Imaging Biol 2023; 25:271-282. [PMID: 36418769 DOI: 10.1007/s11307-022-01726-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/12/2022] [Accepted: 03/25/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION The reliance on glycolytic metabolism is a hallmark of tumor metabolism. Excess acid and protons are produced, leading to an acidic tumor environment. Therefore, we explored the relationship between the tumor glycolytic metabolism and tissue pH by comparing 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) and hyperpolarized [1-13C]pyruvate MR spectroscopy imaging (MRSI) to chemical exchange saturation transfer (CEST) MRI measurements of tumor pH. METHODS 106 C6 glioma cells were implanted in the brains of male Wistar rats (N = 11) using stereotactic surgery. A 60-min PET acquisition after a bolus of FDG was performed at 11-13 days post implantation, and standardized uptake value (SUV) was calculated. CEST measurements were acquired the following day before and during constant infusion of glucose solution. Tumor intracellular pH (pHi) was evaluated using amine and amide concentration-independent detection (AACID) CEST MRI. The change of pHi (∆pHi) was calculated as the difference between pHi pre- and during glucose infusion. Rats were imaged immediately with hyperpolarized [1-13C]pyruvate MRSI. Regional maps of the ratio of Lac:Pyr were acquired. The correlations between SUV, Lac:Pyr ratio, and ∆pHi were evaluated using Pearson's correlation. RESULTS A decrease of 0.14 in pHi was found after glucose infusion in tumor region. Significant correlations between tumor glycolysis measurements of Lac:Pyr and ∆pHi within the tumor (ρ = 0.83, P = 0.01) and peritumoral region (ρ = 0.76, P = 0.028) were observed. No significant correlations were found between tumor SUV and ∆pHi within the tumor (ρ = - 0.45, P = 0.17) and peritumor regions (ρ = - 0.6, P = 0.051). CONCLUSION AACID detected the changes in pHi induced by glucose infusion. Significant correlations between tumor glycolytic measurement of Lac:Pyr and tumoral and peritumoral pHi and ∆pHi suggest the intrinsic relationship between tumor glycolytic metabolism and the tumor pH environment as well as the peritumor pH environment.
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Affiliation(s)
- Qi Qi
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Department of Physics and Astronomy, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Matthew S Fox
- Department of Physics and Astronomy, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada
| | - Heeseung Lim
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Robarts Research Institute, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Rebecca Sullivan
- Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada.,Department of Pathology, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Alex Li
- Robarts Research Institute, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Miranda Bellyou
- Robarts Research Institute, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Lise Desjardins
- Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada
| | - Andrew McClennan
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada
| | - Robert Bartha
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Robarts Research Institute, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Department of Medical Imaging, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Lisa Hoffman
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada.,Department of Pathology, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Department of Anatomy and Cell Biology, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Timothy J Scholl
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada.,Ontario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada
| | - Ting-Yim Lee
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada.,Robarts Research Institute, The University of Western Ontario, London, ON, N6A 3K7, Canada.,Department of Medical Imaging, The University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Jonathan D Thiessen
- Department of Medical Biophysics, The University of Western Ontario, London, ON, N6A 3K7, Canada. .,Molecular Imaging Program, The University of Western Ontario, London, ON, N6A 3K7, Canada. .,Imaging Program, Lawson Health Research Institute, London, ON, N6A 4V2, Canada. .,Department of Medical Imaging, The University of Western Ontario, London, ON, N6A 3K7, Canada.
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18
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Haddad SMH, Pieruccini-Faria F, Montero-Odasso M, Bartha R. Localized White Matter Tract Integrity Measured by Diffusion Tensor Imaging Is Altered in People with Mild Cognitive Impairment and Associated with Dual-Task and Single-Task Gait Speed. J Alzheimers Dis 2023; 92:1367-1384. [PMID: 36911933 DOI: 10.3233/jad-220476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
BACKGROUND Altered white matter (WM) tract integrity may contribute to mild cognitive impairment (MCI) and gait abnormalities. OBJECTIVE The purpose of this study was to determine whether diffusion tensor imaging (DTI) metrics were altered in specific portions of WM tracts in people with MCI and to determine whether gait speed variations were associated with the specific DTI metric changes. METHODS DTI was acquired in 44 people with MCI and 40 cognitively normal elderly controls (CNCs). Fractional anisotropy (FA) and radial diffusivity (RD) were measured along 18 major brain WM tracts using probabilistic tractography. The average FA and RD along the tracts were compared between the groups using MANCOVA and post-hoc tests. The tracts with FA or RD differences between the groups were examined using an along-tract exploratory analysis to identify locations that differed between the groups. Associations between FA and RD in whole tracts and in the segments of the tracts that differed between the groups and usual/dual-task gait velocities and gross cognition were examined. RESULTS Lower FA and higher RD was observed in right cingulum-cingulate gyrus endings (rh.ccg) of the MCI group compared to the CNC group. These changes were localized to the posterior portions of the rh.ccg and correlated with gait velocities. CONCLUSION Lower FA and higher RD in the posterior portion of the rh.ccg adjacent to the posterior cingulate suggests decreased microstructural integrity in the MCI group. The correlation of these metrics with gait velocities suggests an important role for this tract in maintaining normal cognitive-motor function.
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Affiliation(s)
- Seyyed M H Haddad
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Frederico Pieruccini-Faria
- Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.,Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, London, Canada
| | - Manuel Montero-Odasso
- Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.,Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, London, Canada.,Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada.,Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
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19
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Sunderland KM, Beaton D, Arnott SR, Kleinstiver P, Kwan D, Lawrence-Dewar JM, Ramirez J, Tan B, Bartha R, Black SE, Borrie M, Brien D, Casaubon LK, Coe BC, Cornish B, Dilliott AA, Dowlatshahi D, Finger E, Fischer C, Frank A, Fraser J, Freedman M, Greenberg B, Grimes DA, Hassan A, Hatch W, Hegele RA, Hudson C, Jog M, Kumar S, Lang A, Levine B, Lou W, Mandzia J, Marras C, McIlroy W, Montero-Odasso M, Munoz DG, Munoz DP, Orange JB, Park DS, Pasternak SH, Pieruccini-Faria F, Rajji TK, Roberts AC, Robinson JF, Rogaeva E, Sahlas DJ, Saposnik G, Scott CJM, Seitz D, Shoesmith C, Steeves TDL, Strong MJ, Strother SC, Swartz RH, Symons S, Tang-Wai DF, Tartaglia MC, Troyer AK, Turnbull J, Zinman L, McLaughlin PM, Masellis M, Binns MA, Adamo S, Berezuk C, Black A, Breen DP, Bulman D, Chen Y, El‐Defrawy S, Farhan S, Ghani M, Gonder J, Haddad SMH, Holmes M, Huang J, Leontieva E, Mandelcorn E, Margolin E, Nanayakkara N, Ozzoude M, Peltsch AJ, Pollock B, Raamana P, Rashkovan N, Yanina, Southwell A, Sujanthan S, Tayyari F, Van Ooteghem K, Woulfe J, Zamyadi M, Zou G. Characteristics of the Ontario Neurodegenerative Disease Research Initiative cohort. Alzheimers Dement 2023; 19:226-243. [PMID: 36318754 DOI: 10.1002/alz.12632] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 12/01/2021] [Accepted: 12/17/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Understanding synergies between neurodegenerative and cerebrovascular pathologies that modify dementia presentation represents an important knowledge gap. METHODS This multi-site, longitudinal, observational cohort study recruited participants across prevalent neurodegenerative diseases and cerebrovascular disease and assessed participants comprehensively across modalities. We describe univariate and multivariate baseline features of the cohort and summarize recruitment, data collection, and curation processes. RESULTS We enrolled 520 participants across five neurodegenerative and cerebrovascular diseases. Median age was 69 years, median Montreal Cognitive Assessment score was 25, median independence in activities of daily living was 100% for basic and 93% for instrumental activities. Spousal study partners predominated; participants were often male, White, and more educated. Milder disease stages predominated, yet cohorts reflect clinical presentation. DISCUSSION Data will be shared with the global scientific community. Within-disease and disease-agnostic approaches are expected to identify markers of severity, progression, and therapy targets. Sampling characteristics also provide guidance for future study design.
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Affiliation(s)
- Kelly M Sunderland
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Peter Kleinstiver
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | | | - Joel Ramirez
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Sandra E Black
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Michael Borrie
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,St. Joseph's Healthcare Centre, London, Ontario, Canada
| | - Donald Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Leanne K Casaubon
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Toronto Western Hospital, Toronto, Ontario, Canada
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Benjamin Cornish
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Allison A Dilliott
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Robarts Research Institute, Western University, London, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Elizabeth Finger
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada
| | - Corinne Fischer
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Andrew Frank
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Julia Fraser
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Morris Freedman
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Division of Neurology, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Barry Greenberg
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David A Grimes
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada
| | - Wendy Hatch
- Kensington Eye Institute, Toronto, Ontario, Canada.,Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Robert A Hegele
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Robarts Research Institute, Western University, London, Ontario, Canada
| | - Christopher Hudson
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.,School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Mandar Jog
- London Health Sciences Centre, London, Ontario, Canada
| | - Sanjeev Kumar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Lang
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Brian Levine
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer Mandzia
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, Toronto, Ontario, Canada
| | - William McIlroy
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Manuel Montero-Odasso
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada.,Gait and Brain Lab, Parkwood Institute, London, Ontario, Canada
| | - David G Munoz
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Joseph B Orange
- School of Communication Sciences and Disorders, Elborn College, Western University, London, Ontario, Canada
| | - David S Park
- Hotchkiss Brain Institute, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Stephen H Pasternak
- St. Joseph's Healthcare Centre, London, Ontario, Canada.,Cognitive Neurology and Alzheimer's Disease Research Centre, Parkwood Institute, London, Ontario, Canada
| | - Frederico Pieruccini-Faria
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada.,Gait and Brain Lab, Parkwood Institute, London, Ontario, Canada
| | - Tarek K Rajji
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Angela C Roberts
- School of Communication Sciences and Disorders, Elborn College, Western University, London, Ontario, Canada.,Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - John F Robinson
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Robarts Research Institute, Western University, London, Ontario, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | | | - Gustavo Saposnik
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Christopher J M Scott
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | | | - Michael J Strong
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Canadian Institutes for Health Research, Ottawa, Ontario, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Richard H Swartz
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Sean Symons
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - David F Tang-Wai
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Angela K Troyer
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Neuropsychology and Cognitive Health, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - John Turnbull
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Lorne Zinman
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Paula M McLaughlin
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.,Nova Scotia Health, Halifax, Nova Scotia, Canada
| | - Mario Masellis
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Malcolm A Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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20
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Yu D, Liang N, Zebarth J, Shen Q, Ozzoude M, Goubran M, Rabin JS, Ramirez J, Scott CJM, Gao F, Bartha R, Symons S, Haddad SMH, Berezuk C, Tan B, Kwan D, Hegele RA, Dilliott AA, Nanayakkara ND, Binns MA, Beaton D, Arnott SR, Lawrence‐Dewar JM, Hassan A, Dowlatshahi D, Mandzia J, Sahlas D, Casaubon L, Saposnik G, Otoki Y, Lanctôt KL, Masellis M, Black SE, Swartz RH, Taha AY, Swardfager W. Soluble Epoxide Hydrolase Derived Linoleic Acid Oxylipins, Small Vessel Disease Markers, and Neurodegeneration in Stroke. J Am Heart Assoc 2022; 12:e026901. [PMID: 36583428 PMCID: PMC9973594 DOI: 10.1161/jaha.122.026901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Background Cerebral small vessel disease is associated with higher ratios of soluble-epoxide hydrolase derived linoleic acid diols (12,13-dihydroxyoctadecenoic acid [DiHOME] and 9,10-DiHOME) to their parent epoxides (12(13)-epoxyoctadecenoic acid [EpOME] and 9(10)-EpOME); however, the relationship has not yet been examined in stroke. Methods and Results Participants with mild to moderate small vessel stroke or large vessel stroke were selected based on clinical and imaging criteria. Metabolites were quantified by ultra-high-performance liquid chromatography-mass spectrometry. Volumes of stroke, lacunes, white matter hyperintensities, magnetic resonance imaging visible perivascular spaces, and free water diffusion were quantified from structural and diffusion magnetic resonance imaging (3 Tesla). Adjusted linear regression models were used for analysis. Compared with participants with large vessel stroke (n=30), participants with small vessel stroke (n=50) had a higher 12,13-DiHOME/12(13)-EpOME ratio (β=0.251, P=0.023). The 12,13-DiHOME/12(13)-EpOME ratio was associated with more lacunes (β=0.266, P=0.028) but not with large vessel stroke volumes. Ratios of 12,13-DiHOME/12(13)-EpOME and 9,10-DiHOME/9(10)-EpOME were associated with greater volumes of white matter hyperintensities (β=0.364, P<0.001; β=0.362, P<0.001) and white matter MRI-visible perivascular spaces (β=0.302, P=0.011; β=0.314, P=0.006). In small vessel stroke, the 12,13-DiHOME/12(13)-EpOME ratio was associated with higher white matter free water diffusion (β=0.439, P=0.016), which was specific to the temporal lobe in exploratory regional analyses. The 9,10-DiHOME/9(10)-EpOME ratio was associated with temporal lobe atrophy (β=-0.277, P=0.031). Conclusions Linoleic acid markers of cytochrome P450/soluble-epoxide hydrolase activity were associated with small versus large vessel stroke, with small vessel disease markers consistent with blood brain barrier and neurovascular-glial disruption, and temporal lobe atrophy. The findings may indicate a novel modifiable risk factor for small vessel disease and related neurodegeneration.
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Affiliation(s)
- Di Yu
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Department of Pharmacology and ToxicologyUniversity of TorontoTorontoCanada
| | - Nuanyi Liang
- Department of Food Science and TechnologyUniversity of CaliforniaDavisCA
| | - Julia Zebarth
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Department of Pharmacology and ToxicologyUniversity of TorontoTorontoCanada
| | - Qing Shen
- Department of Food Science and TechnologyUniversity of CaliforniaDavisCA
| | - Miracle Ozzoude
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | - Maged Goubran
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Harquail Centre for Neuromodulation, Sunnybrook Health Sciences CentreTorontoCanada,Department of Medical BiophysicsUniversity of TorontoTorontoCanada
| | - Jennifer S. Rabin
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Harquail Centre for Neuromodulation, Sunnybrook Health Sciences CentreTorontoCanada,Division of Neurology, Department of MedicineSunnybrook Health Sciences CentreTorontoCanada,Rehabilitation Sciences InstituteUniversity of TorontoTorontoCanada
| | - Joel Ramirez
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | - Christopher J. M. Scott
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | - Fuqiang Gao
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | - Robert Bartha
- Department of Medical BiophysicsWestern UniversityLondonCanada,Center for Functional and Metabolic Mapping, Robarts Research InstituteWestern UniversityLondonCanada
| | - Sean Symons
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | | | - Courtney Berezuk
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences CentreTorontoCanada
| | - Donna Kwan
- Centre for Neuroscience StudiesQueen’s UniversityKingstonCanada
| | | | | | | | - Malcolm A. Binns
- Rotman Research Institute, Baycrest Health Sciences CentreTorontoCanada,Dalla Lana School of Public HealthUniversity of TorontoTorontoCanada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences CentreTorontoCanada
| | - Stephen R. Arnott
- Rotman Research Institute, Baycrest Health Sciences CentreTorontoCanada
| | - Jane M. Lawrence‐Dewar
- Thunder Bay Regional Health Research InstituteNorthern Ontario School of Medicine UniversityThunder BayCanada
| | - Ayman Hassan
- Thunder Bay Regional Health Research InstituteNorthern Ontario School of Medicine UniversityThunder BayCanada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), Ottawa Hospital Research InstituteUniversity of OttawaOttawaCanada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Schulich School of Medicine and DentistryWestern UniversityLondonCanada
| | - Demetrios Sahlas
- Division of Neurology, Department of Medicine, Faculty of Health SciencesMcMaster UniversityHamiltonCanada
| | - Leanne Casaubon
- Krembil Research InstituteUniversity Health NetworkTorontoCanada
| | - Gustavo Saposnik
- Stroke Outcomes and Decision Neuroscience Research Unit, Division of Neurology, St. Michael’s HospitalUniversity of TorontoTorontoCanada
| | - Yurika Otoki
- Division of Agricultural Chemistry, Graduate School of Agricultural ScienceTohoku UniversitySendaiJapan
| | - Krista L. Lanctôt
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Department of Pharmacology and ToxicologyUniversity of TorontoTorontoCanada,Department of Psychiatry, Faculty of MedicineUniversity of TorontoTorontoCanada,Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada
| | - Mario Masellis
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Division of Neurology, Department of MedicineSunnybrook Health Sciences CentreTorontoCanada,Department of Neurology, Faculty of MedicineUniversity of TorontoTorontoCanada
| | - Sandra E. Black
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Division of Neurology, Department of MedicineSunnybrook Health Sciences CentreTorontoCanada,Department of Neurology, Faculty of MedicineUniversity of TorontoTorontoCanada
| | - Richard H. Swartz
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Division of Neurology, Department of MedicineSunnybrook Health Sciences CentreTorontoCanada,Department of Neurology, Faculty of MedicineUniversity of TorontoTorontoCanada
| | - Ameer Y. Taha
- Department of Food Science and TechnologyUniversity of CaliforniaDavisCA
| | - Walter Swardfager
- Dr. Sandra Black Center for Brain Resilience & Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoCanada,Department of Pharmacology and ToxicologyUniversity of TorontoTorontoCanada,Toronto Rehabilitation InstituteUniversity Health NetworkTorontoCanada
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21
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Finger E, Malik R, Bocchetta M, Coleman K, Graff C, Borroni B, Masellis M, Laforce R, Greaves CV, Russell LL, Convery RS, Bouzigues A, Cash DM, Otto M, Synofzik M, Rowe JB, Galimberti D, Tiraboschi P, Bartha R, Shoesmith C, Tartaglia MC, van Swieten JC, Seelaar H, Jiskoo LC, Sorbi S, Butler CR, Gerhard A, Sanchez-Valle R, de Mendonça A, Moreno F, Vandenberghe R, Le Ber I, Levin J, Pasquier F, Santana I, Rohrer JD, Ducharme S. Neurodevelopmental effects of genetic frontotemporal dementia in young adult mutation carriers. Brain 2022; 146:2120-2131. [PMID: 36458975 DOI: 10.1093/brain/awac446] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/05/2022] [Accepted: 10/16/2022] [Indexed: 12/03/2022] Open
Abstract
While frontotemporal dementia (frontotemporal dementia) has been considered a neurodegenerative disease that starts in mid-life or later, it is now clearly established that cortical and subcortical volume loss is observed more than a decade prior to symptom onset and progresses with aging. To test the hypothesis that genetic mutations causing frontotemporal dementia have neurodevelopmental consequences, we have examined the youngest adults in the GENFI cohort of pre-symptomatic frontotemporal dementia mutation carriers who are between the ages of 19 and 30y. Structural brain differences and improved performance on some cognitive tests was found for MAPT and GRN mutation carriers relative to familial non-carriers, while smaller volumes were observed in C9orf72 repeat expansion carriers at a mean age of 26y. The detection of such early differences supports potential advantageous neurodevelopmental consequences of some frontotemporal dementia causing genetic mutations. These results have implications for design of therapeutic interventions for frontotemporal dementia. Future studies at younger ages are needed to identify specific early pathophysiologic or compensatory processes in the neurodevelopmental period.
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Affiliation(s)
- Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Rubina Malik
- Schulich School of Medicine & Dentistry, Graduate Program in Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kristy Coleman
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Caroline Graff
- Karolinska Institutet, Department NVS, Division of Neurogeriatrics, Stockholm, Sweden
- Unit for Hereditary Dementia, Theme Aging, Karolinska University Hospital-Solna Stockholm Sweden
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Mario Masellis
- Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Faculté de Médecine, Université Laval, Québec, Canada
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rhian S Convery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust and Medical Research Council Cognition and brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Robert Bartha
- Department of Medical Biophysics, The University of Western Ontario, London, Ontario, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Maria Carmela Tartaglia
- Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, ON, Canada
| | - John C van Swieten
- Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, the Netherlands
| | - Harro Seelaar
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Lize C Jiskoo
- Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, the Netherlands
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Chris R Butler
- Department of Clinical Neurology, University of Oxford, Oxford, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Germany
| | - Raquel Sanchez-Valle
- Neurology Department, Hospital Clinic, Institut d'Investigacions Biomèdiques, Barcelona, Spain
| | | | - Fermin Moreno
- Hospital Universitario Donostia, San Sebastian, Spain
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
- Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich; German Center for Neurodegenerative Diseases (DZNE), Munich; Munich Cluster of Systems Neurology, Munich, Germany
| | - Florence Pasquier
- Univ Lille, Lille, France
- Inserm 1172, Lille, France
- CHU, CNR-MAJ, Labex Distalz, LiCEND, Lille, France
| | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Portugal
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Simon Ducharme
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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22
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Broberg DN, Haddad SMH, Aveni K, Havens A, Orange JB, McLaughlin P, Binns M, Roberts AC, Bartha R. White Matter Correlates of Spoken Discourse in Cerebrovascular Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.068292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Dana N Broberg
- Robarts Research Institute London ON Canada
- Western University London ON Canada
| | | | | | | | | | | | - Malcolm Binns
- University of Toronto Toronto ON Canada
- Rotman Research Institute Toronto ON Canada
| | - Angela C Roberts
- Western University London ON Canada
- Northwestern University Evanston IL USA
| | - Robert Bartha
- Robarts Research Institute London ON Canada
- Western University London ON Canada
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23
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Broberg DN, Haddad SMH, Aveni K, Havens A, Orange JB, McLaughlin P, Binns M, Roberts AC, Bartha R. White Matter Correlates of Spoken Discourse in Cerebrovascular Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.065756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Dana N Broberg
- Robarts Research Institute London ON Canada
- Western University London ON Canada
| | | | | | | | | | | | - Malcolm Binns
- Rotman Research Institute Toronto ON Canada
- University of Toronto Toronto ON Canada
| | - Angela C Roberts
- Western University London ON Canada
- Northwestern University Evanston IL USA
| | - Robert Bartha
- Robarts Research Institute London ON Canada
- Western University London ON Canada
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24
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Haddad SMH, Scott CJM, Ozzoude M, Berezuk C, Holmes M, Adamo S, Ramirez J, Arnott SR, Nanayakkara ND, Binns M, Beaton D, Lou W, Sunderland K, Sujanthan S, Lawrence J, Kwan D, Tan B, Casaubon L, Mandzia J, Sahlas D, Saposnik G, Hassan A, Levine B, McLaughlin P, Orange JB, Roberts A, Troyer A, Black SE, Dowlatshahi D, Strother SC, Swartz RH, Symons S, Montero-Odasso M, ONDRI Investigators, Bartha R. Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. Int J Biomed Imaging 2022; 2022:5860364. [PMID: 36313789 PMCID: PMC9616672 DOI: 10.1155/2022/5860364] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 04/21/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2023] Open
Abstract
Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI measures of tissue microstructure in NAWM to diverse vascular brain lesions in people with cerebrovascular disease (CVD) and to examine associations between FA in NAWM and cerebrovascular risk factors. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured in cerebral tissues and cerebrovascular anomalies from 152 people with CVD participating in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Ten cerebral tissue types were segmented including NAWM, and vascular lesions including stroke, periventricular and deep white matter hyperintensities, periventricular and deep lacunar infarcts, and perivascular spaces (PVS) using T1-weighted, proton density-weighted, T2-weighted, and fluid attenuated inversion recovery MRI scans. Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. DTI metrics in vascular lesions differed significantly from healthy tissue. Specifically, all tissue types had significantly different MD values, while FA was also found to be different in most tissue types. FA in NAWM was inversely related to hypertension and modified Rankin scale (mRS). This study demonstrated the differences between conventional DTI metrics, FA, MD, AD, and RD, in cerebral vascular lesions and healthy tissue types. Therefore, incorporating DTI to characterize the integrity of the tissue microstructure could help to define the extent and severity of various brain vascular anomalies. The association between FA within NAWM and clinical evaluation of hypertension and disability provides further evidence that white matter microstructural integrity is impacted by cerebrovascular function.
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Affiliation(s)
- Seyyed M. H. Haddad
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Christopher J. M. Scott
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Miracle Ozzoude
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | | | - Melissa Holmes
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Sabrina Adamo
- Clinical Neurosciences, University of Toronto, Toronto, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Stephen R. Arnott
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Nuwan D. Nanayakkara
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Malcolm Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Kelly Sunderland
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | | | - Jane Lawrence
- Thunder Bay Regional Health Research Institute, Thunder Bay, Canada
| | | | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Leanne Casaubon
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Jennifer Mandzia
- Department of Medicine, Division of Neurology, University of Western Ontario, London, Canada
| | - Demetrios Sahlas
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | | | - Ayman Hassan
- Thunder Bay Regional Research Institute, Thunder Bay, Canada
| | - Brian Levine
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | | | - J. B. Orange
- School of Communication Sciences and Disorders, Western University, London, Canada
| | - Angela Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorder, Northwestern University, Evanston, USA
| | - Angela Troyer
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Sandra E. Black
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
- Sunnybrook Health Sciences Centre, University of Toronto, Stroke Research Program, Toronto, Canada
| | | | - Stephen C. Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Richard H. Swartz
- Sunnybrook Health Sciences Centre, University of Toronto, Stroke Research Program, Toronto, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Manuel Montero-Odasso
- Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, St. Joseph's Health Care London, London, Canada
| | - ONDRI Investigators
- Ontario Neurodegenerative Disease Initiative, Ontario Brain Institute, Toronto, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
- Department of Medical Biophysics, University of Western Ontario, London, Canada
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25
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Nanayakkara ND, Arnott SR, Scott CJM, Solovey I, Liang S, Fonov VS, Gee T, Broberg DN, Haddad SMH, Ramirez J, Berezuk C, Holmes M, Adamo S, Ozzoude M, Theyers A, Sujanthan S, Zamyadi M, Casaubon L, Dowlatshahi D, Mandzia J, Sahlas D, Saposnik G, Hassan A, Swartz RH, Strother SC, Szilagyi GM, Black SE, Symons S, Investigators ONDRI, Bartha R. Increased brain volumetric measurement precision from multi-site 3D T1-weighted 3 T magnetic resonance imaging by correcting geometric distortions. Magn Reson Imaging 2022; 92:150-160. [PMID: 35753643 DOI: 10.1016/j.mri.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 04/29/2022] [Accepted: 06/19/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Magnetic resonance imaging (MRI) scanner-specific geometric distortions may contribute to scanner induced variability and decrease volumetric measurement precision for multi-site studies. The purpose of this study was to determine whether geometric distortion correction increases the precision of brain volumetric measurements in a multi-site multi-scanner study. METHODS Geometric distortion variation was quantified over a one-year period at 10 sites using the distortion fields estimated from monthly 3D T1-weighted MRI geometrical phantom scans. The variability of volume and distance measurements were quantified using synthetic volumes and a standard quantitative MRI (qMRI) phantom. The effects of geometric distortion corrections on MRI derived volumetric measurements of the human brain were assessed in two subjects scanned on each of the 10 MRI scanners and in 150 subjects with cerebrovascaular disease (CVD) acquired across imaging sites. RESULTS Geometric distortions were found to vary substantially between different MRI scanners but were relatively stable on each scanner over a one-year interval. Geometric distortions varied spatially, increasing in severity with distance from the magnet isocenter. In measurements made with the qMRI phantom, the geometric distortion correction decreased the standard deviation of volumetric assessments by 35% and distance measurements by 42%. The average coefficient of variance decreased by 16% in gray matter and white matter volume estimates in the two subjects scanned on the 10 MRI scanners. CONCLUSION Geometric distortion correction using an up-to-date correction field is recommended to increase precision in volumetric measurements made from MRI images.
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Affiliation(s)
- Nuwan D Nanayakkara
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | | | - Christopher J M Scott
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Igor Solovey
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Shuai Liang
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | - Vladimir S Fonov
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Tom Gee
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | - Dana N Broberg
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Seyyed M H Haddad
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Courtney Berezuk
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Melissa Holmes
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Athena Theyers
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | - Leanne Casaubon
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Jennifer Mandzia
- Department of Medicine, Division of Neurology, Western University, London, ON, Canada
| | - Demetrios Sahlas
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Ayman Hassan
- Thunder Bay Regional Research Institute, Thunder Bay, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Gregory M Szilagyi
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | | | - Robert Bartha
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Departments of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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26
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Mortuza R, Ching-Johnson JA, Yin H, O’Neil C, Cronin AE, Randhawa VK, Nong Z, Hashi AA, Li AX, Bartha R, Chu MW, Pickering JG. Imaging of Glycosaminoglycans in Ascending Aortic Aneurysms With Chemical Exchange Saturation Transfer MRI. JACC Cardiovasc Imaging 2022; 15:1670-1672. [DOI: 10.1016/j.jcmg.2022.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 01/31/2022] [Accepted: 04/07/2022] [Indexed: 10/18/2022]
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27
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Ramirez J, Berberian SA, Breen DP, Gao F, Ozzoude M, Adamo S, Scott CJ, Berezuk C, Yhap V, Mestre TA, Marras C, Tartaglia MC, Grimes D, Jog M, Kwan D, Tan B, Binns MA, Arnott SR, Bartha R, Symons S, Masellis M, Black SE, Lang AE. Small and Large Magnetic Resonance Imaging–Visible Perivascular Spaces in the Basal Ganglia of Parkinson's Disease Patients. Mov Disord 2022; 37:1304-1309. [DOI: 10.1002/mds.29010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/18/2022] [Accepted: 03/16/2022] [Indexed: 11/08/2022] Open
Affiliation(s)
- Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Stephanie A. Berberian
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - David P. Breen
- Centre for Clinical Brain Sciences University of Edinburgh Edinburgh United Kingdom
- Anne Rowling Regenerative Neurology Clinic University of Edinburgh Edinburgh United Kingdom
- Usher Institute of Population Health Sciences and Informatics University of Edinburgh Edinburgh United Kingdom
| | - Fuqiang Gao
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Miracle Ozzoude
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Tanz Centre for Research in Neurodegenerative Diseases University of Toronto Toronto Ontario Canada
| | - Sabrina Adamo
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Christopher J.M. Scott
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Courtney Berezuk
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Vanessa Yhap
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Tiago A. Mestre
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute University of Ottawa Ottawa Ontario Canada
| | - Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital Toronto Ontario Canada
| | - Maria C. Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases University of Toronto Toronto Ontario Canada
- Division of Neurology, Toronto Western Hospital University Health Network Toronto Ontario Canada
| | - David Grimes
- University of Ottawa Brain and Mind Research Institute Ottawa Hospital Research Institute Ottawa Ontario Canada
| | - Mandar Jog
- Department of Clinical Neurological Sciences Western University London Ontario Canada
| | - Donna Kwan
- Queen's University, Centre for Neuroscience Studies Kingston Ontario Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
| | - Malcolm A. Binns
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
| | - Stephen R. Arnott
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Department of Medical Biophysics University of Western Ontario London Ontario Canada
| | - Sean Symons
- Department of Medical Imaging University of Toronto, Sunnybrook Health Sciences Centre Toronto Ontario Canada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Department of Medicine (Neurology) Sunnybrook Health Sciences Centre and University of Toronto Toronto Ontario Canada
| | - Sandra E. Black
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
- Department of Medicine (Neurology) Sunnybrook Health Sciences Centre and University of Toronto Toronto Ontario Canada
| | - Anthony E. Lang
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital Toronto Ontario Canada
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28
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Ozzoude M, Varriano B, Beaton D, Ramirez J, Holmes MF, Scott CJM, Gao F, Sunderland KM, McLaughlin P, Rabin J, Goubran M, Kwan D, Roberts A, Bartha R, Symons S, Tan B, Swartz RH, Abrahao A, Saposnik G, Masellis M, Lang AE, Marras C, Zinman L, Shoesmith C, Borrie M, Fischer CE, Frank A, Freedman M, Montero-Odasso M, Kumar S, Pasternak S, Strother SC, Pollock BG, Rajji TK, Seitz D, Tang-Wai DF, Turnbull J, Dowlatshahi D, Hassan A, Casaubon L, Mandzia J, Sahlas D, Breen DP, Grimes D, Jog M, Steeves TDL, Arnott SR, Black SE, Finger E, Tartaglia MC. Investigating the contribution of white matter hyperintensities and cortical thickness to empathy in neurodegenerative and cerebrovascular diseases. GeroScience 2022; 44:1575-1598. [PMID: 35294697 DOI: 10.1007/s11357-022-00539-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 02/22/2022] [Indexed: 11/24/2022] Open
Abstract
Change in empathy is an increasingly recognised symptom of neurodegenerative diseases and contributes to caregiver burden and patient distress. Empathy impairment has been associated with brain atrophy but its relationship to white matter hyperintensities (WMH) is unknown. We aimed to investigate the relationships amongst WMH, brain atrophy, and empathy deficits in neurodegenerative and cerebrovascular diseases. Five hundred thirteen participants with Alzheimer's disease/mild cognitive impairment, amyotrophic lateral sclerosis, frontotemporal dementia (FTD), Parkinson's disease, or cerebrovascular disease (CVD) were included. Empathy was assessed using the Interpersonal Reactivity Index. WMH were measured using a semi-automatic segmentation and FreeSurfer was used to measure cortical thickness. A heterogeneous pattern of cortical thinning was found between groups, with FTD showing thinning in frontotemporal regions and CVD in left superior parietal, left insula, and left postcentral. Results from both univariate and multivariate analyses revealed that several variables were associated with empathy, particularly cortical thickness in the fronto-insulo-temporal and cingulate regions, sex (female), global cognition, and right parietal and occipital WMH. Our results suggest that cortical atrophy and WMH may be associated with empathy deficits in neurodegenerative and cerebrovascular diseases. Future work should consider investigating the longitudinal effects of WMH and atrophy on empathy deficits in neurodegenerative and cerebrovascular diseases.
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Affiliation(s)
- Miracle Ozzoude
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 0S8, Canada.,L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brenda Varriano
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 0S8, Canada
| | - Derek Beaton
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Melissa F Holmes
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Christopher J M Scott
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Fuqiang Gao
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | | | - Paula McLaughlin
- Nova Scotia Health and Dalhousie University, Halifax, NS, Canada
| | - Jennifer Rabin
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.,Queen's University, Kingston, ON, Canada
| | - Angela Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.,School of Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, ON, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, ON, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brian Tan
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Agessandro Abrahao
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Gustavo Saposnik
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Anthony E Lang
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Connie Marras
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Lorne Zinman
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Michael Borrie
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,St. Joseph's Healthcare Centre, London, ON, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada
| | - Andrew Frank
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Bruyère Research Institute, Ottawa, ON, Canada
| | - Morris Freedman
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Baycrest Health Sciences, Toronto, ON, Canada
| | - Manuel Montero-Odasso
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada.,Gait and Brain Lab, Parkwood Institute, London, ON, Canada
| | - Sanjeev Kumar
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Stephen Pasternak
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David F Tang-Wai
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - John Turnbull
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
| | - Leanne Casaubon
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Demetrios Sahlas
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK.,Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - David Grimes
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Mandar Jog
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,London Health Sciences Centre, London, ON, Canada
| | - Thomas D L Steeves
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Stephen R Arnott
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | | | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 0S8, Canada. .,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada. .,Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.
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29
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Mojiri Forooshani P, Biparva M, Ntiri EE, Ramirez J, Boone L, Holmes MF, Adamo S, Gao F, Ozzoude M, Scott CJM, Dowlatshahi D, Lawrence-Dewar JM, Kwan D, Lang AE, Marcotte K, Leonard C, Rochon E, Heyn C, Bartha R, Strother S, Tardif JC, Symons S, Masellis M, Swartz RH, Moody A, Black SE, Goubran M. Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation. Hum Brain Mapp 2022; 43:2089-2108. [PMID: 35088930 PMCID: PMC8996363 DOI: 10.1002/hbm.25784] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 12/14/2021] [Accepted: 01/10/2022] [Indexed: 01/18/2023] Open
Abstract
White matter hyperintensities (WMHs) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and increased risk of dementia. Many existing WMH segmentation algorithms produce suboptimal results in populations with vascular lesions or brain atrophy, or require parameter tuning and are computationally expensive. Additionally, most algorithms do not generate a confidence estimate of segmentation quality, limiting their interpretation. MRI‐based segmentation methods are often sensitive to acquisition protocols, scanners, noise‐level, and image contrast, failing to generalize to other populations and out‐of‐distribution datasets. Given these concerns, we propose a novel Bayesian 3D convolutional neural network with a U‐Net architecture that automatically segments WMH, provides uncertainty estimates of the segmentation output for quality control, and is robust to changes in acquisition protocols. We also provide a second model to differentiate deep and periventricular WMH. Four hundred thirty‐two subjects were recruited to train the CNNs from four multisite imaging studies. A separate test set of 158 subjects was used for evaluation, including an unseen multisite study. We compared our model to two established state‐of‐the‐art techniques (BIANCA and DeepMedic), highlighting its accuracy and efficiency. Our Bayesian 3D U‐Net achieved the highest Dice similarity coefficient of 0.89 ± 0.08 and the lowest modified Hausdorff distance of 2.98 ± 4.40 mm. We further validated our models highlighting their robustness on “clinical adversarial cases” simulating data with low signal‐to‐noise ratio, low resolution, and different contrast (stemming from MRI sequences with different parameters). Our pipeline and models are available at: https://hypermapp3r.readthedocs.io.
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Affiliation(s)
- Parisa Mojiri Forooshani
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Mahdi Biparva
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Emmanuel E Ntiri
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Lyndon Boone
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Melissa F Holmes
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Christopher J M Scott
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa Brain and Mind Institute, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | | | - Donna Kwan
- Department of Psychology, Faculty of Health, York University, Toronto, Ontario, Canada
| | - Anthony E Lang
- The Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Karine Marcotte
- School of Speech Pathology and Audiology, University of Montreal, Montreal, Quebec, Canada.,Centre intégré universitaire de santé et de services sociaux du Nord-de-l'île-de-Montréal, Montreal, Quebec, Canada
| | - Carol Leonard
- Audiology and Speech-Language Pathology Program, School of Rehabilitation Sciences, University of Ottawa, Ottawa, Ontario, Canada.,Department of Speech-Language Pathology and the Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Rochon
- Department of Speech-Language Pathology and the Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada.,KITE Research Institute, Toronto Rehab, University Health Network, Toronto, Ontario, Canada
| | - Chris Heyn
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, Ontario, Canada
| | - Stephen Strother
- Department of Medical Biophysics, Rotman Research Institute, Baycrest, University of Toronto, Toronto, Ontario, Canada
| | - Jean-Claude Tardif
- Montreal Heart Institute, University of Montreal, Montreal, Quebec, Canada
| | - Sean Symons
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Department of Medicine (Neurology Division), Sunnybrook HSC and University of Toronto, Toronto, Ontario, Canada
| | - Richard H Swartz
- Department of Medicine (Neurology Division), Sunnybrook HSC and University of Toronto, Toronto, Ontario, Canada
| | - Alan Moody
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.,Department of Medicine (Neurology Division), Sunnybrook HSC and University of Toronto, Toronto, Ontario, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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Miller MR, Robinson M, Fischer L, DiBattista A, Patel MA, Daley M, Bartha R, Dekaban GA, Menon RS, Shoemaker JK, Diamandis EP, Prassas I, Fraser DD. Putative Concussion Biomarkers Identified in Adolescent Male Athletes Using Targeted Plasma Proteomics. Front Neurol 2022; 12:787480. [PMID: 34987469 PMCID: PMC8721148 DOI: 10.3389/fneur.2021.787480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/17/2021] [Indexed: 11/13/2022] Open
Abstract
Sport concussions can be difficult to diagnose and if missed, they can expose athletes to greater injury risk and long-lasting neurological disabilities. Discovery of objective biomarkers to aid concussion diagnosis is critical to protecting athlete brain health. To this end, we performed targeted proteomics on plasma obtained from adolescent athletes suffering a sports concussion. A total of 11 concussed male athletes were enrolled at our academic Sport Medicine Concussion Clinic, as well as 24 sex-, age- and activity-matched healthy control subjects. Clinical evaluation was performed and blood was drawn within 72 h of injury. Proximity extension assays were performed for 1,472 plasma proteins; a total of six proteins were considered significantly different between cohorts (P < 0.01; five proteins decreased and one protein increased). Receiver operating characteristic curves on the six individual protein biomarkers identified had areas-under-the-curves (AUCs) for concussion diagnosis ≥0.78; antioxidant 1 copper chaperone (ATOX1; AUC 0.81, P = 0.003), secreted protein acidic and rich in cysteine (SPARC; AUC 0.81, P = 0.004), cluster of differentiation 34 (CD34; AUC 0.79, P = 0.006), polyglutamine binding protein 1 (PQBP1; AUC 0.78, P = 0.008), insulin-like growth factor-binding protein-like 1 (IGFBPL1; AUC 0.78, P = 0.008) and cytosolic 5'-nucleotidase 3A (NT5C3A; AUC 0.78, P = 0.009). Combining three of the protein biomarkers (ATOX1, SPARC and NT5C3A), produced an AUC of 0.98 for concussion diagnoses (P < 0.001; 95% CI: 0.95, 1.00). Despite a paucity of studies on these three identified proteins, the available evidence points to their roles in modulating tissue inflammation and regulating integrity of the cerebral microvasculature. Taken together, our exploratory data suggest that three or less novel proteins, which are amenable to a point-of-care immunoassay, may be future candidate biomarkers for screening adolescent sport concussion. Validation with protein assays is required in larger cohorts.
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Affiliation(s)
- Michael R Miller
- Department of Pediatrics, Western University, London, ON, Canada.,Children's Health Research Institute, London, ON, Canada
| | - Michael Robinson
- School of Health Studies, Western University, London, ON, Canada.,School of Kinesiology, Western University, London, ON, Canada.,Department of Family Medicine, Western University, London, ON, Canada
| | - Lisa Fischer
- Department of Family Medicine, Western University, London, ON, Canada
| | - Alicia DiBattista
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.,Neurolytixs Inc., Toronto, ON, Canada
| | - Maitray A Patel
- Department of Epidemiology, Western University, London, ON, Canada
| | - Mark Daley
- Department of Epidemiology, Western University, London, ON, Canada.,Department of Computer Science, Western University, London, ON, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Western University, London, ON, Canada.,Robarts Research Institute, London, ON, Canada
| | - Gregory A Dekaban
- Robarts Research Institute, London, ON, Canada.,Department of Microbiology and Immunology, Western University, London, ON, Canada
| | - Ravi S Menon
- Department of Medical Biophysics, Western University, London, ON, Canada.,Robarts Research Institute, London, ON, Canada
| | | | | | - Ioannis Prassas
- Department of Pathology and Laboratory Medicine, University of Toronto, Toronto, ON, Canada
| | - Douglas D Fraser
- Department of Pediatrics, Western University, London, ON, Canada.,Children's Health Research Institute, London, ON, Canada.,Neurolytixs Inc., Toronto, ON, Canada.,Department of Physiology and Pharmacology, Western University, London, ON, Canada.,Depatment of Clinical Neurological Sciences, Western University, London, ON, Canada
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31
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Broberg D, Wong D, Bellyou M, Montero-Odasso M, Beauchet O, Annweiler C, Bartha R. Effects of Memantine and High Dose Vitamin D on Gait in Male APP/PS1 Alzheimer's Disease Mice Following Vitamin D Deprivation. J Alzheimers Dis 2021; 85:1755-1766. [PMID: 34958027 DOI: 10.3233/jad-215188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND Altered gait is a frequent feature of Alzheimer's disease (AD), as is vitamin D deficiency. Treatment with memantine and vitamin D can protect cortical axons from exposure to amyloid-β and glutamate toxicity, suggesting this combination may mitigate altered gait in AD. OBJECTIVE Investigate the effects of vitamin D deprivation and subsequent treatment with memantine and vitamin D enrichment on gait performance in APPswe/PS1dE9 mice. METHODS Male APPswe/PS1dE9 mice were split into four groups (n = 14 each) at 2.5 months of age. A control group was fed a standard diet throughout while the other three groups started a vitamin D-deficient diet at month 6. One group remained on this deficient diet for the rest of the study. At month 9, the other two groups began treatment with either memantine alone or memantine combined with 10 IU/g of vitamin D. Gait was assessed using CatWalk at months 6, 9, 12, and 15. RESULTS Vitamin D deprivation led to a 13% increase in hind stride width by month 15 (p < 0.001). Examination of the treatment groups at month 15 revealed that mice treated with memantine alone still showed an increase in hind stride width compared to controls (p < 0.01), while mice treated with memantine and vitamin D did not (p = 0.21). CONCLUSION Vitamin D deprivation led to impaired postural control in the APPswe/PS1dE9 model. Treatment with memantine and vitamin D, but not memantine alone, prevented this impairment. Future work should explore the potential for treatments incorporating vitamin D supplementation to improve gait in people with AD.
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Affiliation(s)
- Dana Broberg
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Dickson Wong
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Miranda Bellyou
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Manuel Montero-Odasso
- Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, University of Western Ontario, London, ON, Canada.,Department of Epidemiology and Biostatistics, University of Western Ontario, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada
| | - Olivier Beauchet
- Department of Medicine, University of Montreal, Montreal, QC, Canada.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Cedric Annweiler
- Department of Geriatric Medicine and Memory Clinic, Research Center on Autonomy and Longevity, University Hospital, Angers, France.,UNIV ANGERS, UPRES EA 4638, University of Angers, Angers, France.,Gérontopôle Autonomie Longévité des Pays de la Loire, France
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
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32
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Haddad SMH, Scott CJ, Arnott SR, Ozzoude M, Strother SC, Black SE, Borrie M, Finger E, Trataglia MC, Kwan D, Beaton D, Symons S, Soddu A, Menon RS, Montero‐Odasso M, Bartha R. Comparison of neuronal activity profiles in Alzheimer’s disease and frontotemporal dementia measured by resting‐state fMRI. Alzheimers Dement 2021. [DOI: 10.1002/alz.054549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Christopher J.M. Scott
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute Toronto ON Canada
| | | | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto Toronto ON Canada
| | | | | | - Michael Borrie
- Lawson Health Research Institute, Western University London ON Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario London ON Canada
| | | | - Donna Kwan
- Ontario Neurodegenerative Disease Research Initiative Toronto ON Canada
| | | | - Sean Symons
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute Toronto ON Canada
| | | | - Ravi S. Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute London ON Canada
| | - Manuel Montero‐Odasso
- Schulich School of Medicine& Dentistry, Division of Geriatric Medicine, Western University London ON Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute London ON Canada
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33
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Haddad SMH, Scott CJ, Ozzoude M, Holmes MF, Arnott SR, Nanayakkara ND, Kwan D, Tan B, Casaubon L, Mandzia J, Sahlas DJ, Saposnik G, Hassan A, Black SE, Dowlatshahi D, Strother SC, Swartz RH, Symons S, Montero‐Odasso M, Bartha R. Disintegration of anterior thalamic radiation fibers in cerebrovascular disease subjects with periventricular white matter hyperintensities leads to lower executive function performance. Alzheimers Dement 2021. [DOI: 10.1002/alz.056596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | - Christopher J.M. Scott
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute Toronto ON Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto Toronto ON Canada
| | - Melissa F. Holmes
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute Toronto ON Canada
| | | | | | | | - Brian Tan
- Rotman Research Institute Toronto ON Canada
| | | | | | | | | | - Ayman Hassan
- Thunder Bay Regional Health Sciences Centre Thunder Bay ON Canada
| | - Sandra E. Black
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto Toronto ON Canada
| | | | | | - Richard H. Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute Toronto ON Canada
| | - Sean Symons
- Sunnybrook Health Sciences Centre Toronto ON Canada
| | - Manuel Montero‐Odasso
- Schulich School of Medicine& Dentistry, Division of Geriatric Medicine, Western University London ON Canada
| | - Robert Bartha
- Robarts Research Institute, Western University London ON Canada
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34
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Yu D, Taha A, Pedersen T, Joel R, Goubran M, Ozzoude M, Gao F, Casaubon L, Bartha R, Symons S, Kwan D, Dowlatshahi D, Hassan A, Mandzia J, Sahlas DJ, Saposnik G, Arnott SR, Tan B, Lanctôt KL, Masellis M, Black SE, Swartz RH, Swardfager W. Serum oxylipins indicate subcortical ischemic vascular disease in patients with clinical stroke. Alzheimers Dement 2021. [DOI: 10.1002/alz.050909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Di Yu
- University of Toronto Toronto ON Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
| | - Ameer Taha
- University of California Davis Davis CA USA
| | | | - Ramirez Joel
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute Toronto ON Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute University of Toronto Toronto ON Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute University of Toronto Toronto ON Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute Toronto ON Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Toronto ON Canada
| | | | - Robert Bartha
- Robarts Research Institute Western University London ON Canada
| | - Sean Symons
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
| | - Donna Kwan
- Ontario Neurodegenerative Disease Research Initiative Toronto ON Canada
| | | | - Ayman Hassan
- Thunder Bay Regional Health Sciences Centre Thunder Bay ON Canada
| | | | | | | | | | - Brian Tan
- Sunnybrook Health Sciences Centre Toronto ON Canada
| | - Krista L. Lanctôt
- University of Toronto Toronto ON Canada
- KITE UHN Toronto Rehabilitation Institute Toronto ON Canada
- Neuropsychopharmacology Research Group Sunnybrook Research Institute Toronto ON Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute Toronto ON Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Toronto ON Canada
- Cognitive and Movement Disorders Clinic Sunnybrook Health Sciences Center Toronto ON Canada
| | - Sandra E. Black
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute University of Toronto Toronto ON Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Toronto ON Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Sunnybrook RI Toronto ON Canada
- Hurvitz Brain Sciences Research Program Sunnybrook Research Institute Sunnybrook Health Sciences Centre U of Toronto Toronto ON Canada
- Division of Neurology Department of Medicine University of Toronto Toronto ON Canada
| | - Richard H. Swartz
- University of Toronto Toronto ON Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
- Canadian Partnership for Stroke Recovery Toronto ON Canada
- ICES Toronto ON Canada
| | - Walter Swardfager
- University of Toronto Toronto ON Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto ON Canada
- LC Campbell Cognitive Neurology Research Unit Sunnybrook Research Institute Toronto ON Canada
- Sunnybrook Health Sciences Centre Toronto ON Canada
- KITE UHN Toronto Rehabilitation Institute Toronto ON Canada
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35
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Broberg DN, Wong D, Doad J, Umoh JU, Bellyou M, Norley CJD, Holdsworth D, Montero‐Odasso M, Beauchet O, Annweiler C, Bartha R. Effect of memantine and combination with vitamin D enrichment on body composition in APP/PS1 Alzheimer’s mice following vitamin D deprivation. Alzheimers Dement 2021. [DOI: 10.1002/alz.054580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Dana N Broberg
- Robarts Research Institute London ON Canada
- Western University London ON Canada
| | | | | | | | | | | | | | - Manuel Montero‐Odasso
- Parkwood Institute London ON Canada
- Schulich School of Medicine & Dentistry, Division of Geriatric Medicine, Western University London ON Canada
| | | | - Cedric Annweiler
- Research Center on Autonomy and Longevity, University Hospital Angers France
- University of Angers Angers France
| | - Robert Bartha
- Robarts Research Institute London ON Canada
- Western University London ON Canada
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36
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Broberg DN, Wong D, Bellyou M, Montero‐Odasso M, Beauchet O, Annweiler C, Bartha R. Effect of vitamin D deprivation and subsequent treatment with memantine and vitamin D enrichment on gait in APP/PS1 Alzheimer’s mice. Alzheimers Dement 2021. [DOI: 10.1002/alz.054591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Dana N Broberg
- Robarts Research Institute London ON Canada
- Western University London ON Canada
| | | | | | - Manuel Montero‐Odasso
- Parkwood Institute London ON Canada
- Schulich School of Medicine & Dentistry Division of Geriatric Medicine Western University London ON Canada
| | | | - Cedric Annweiler
- Research Center on Autonomy and Longevity University Hospital Angers France
- University of Angers Angers France
| | - Robert Bartha
- Robarts Research Institute London ON Canada
- Western University London ON Canada
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37
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Liang S, Beaton D, Arnott SR, Gee T, Zamyadi M, Bartha R, Symons S, MacQueen GM, Hassel S, Lerch JP, Anagnostou E, Lam RW, Frey BN, Milev R, Müller DJ, Kennedy SH, Scott CJM, Strother SC. Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach. Front Neuroinform 2021; 15:622951. [PMID: 34867254 PMCID: PMC8635782 DOI: 10.3389/fninf.2021.622951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 10/21/2021] [Indexed: 11/29/2022] Open
Abstract
Despite the wide application of the magnetic resonance imaging (MRI) technique, there are no widely used standards on naming and describing MRI sequences. The absence of consistent naming conventions presents a major challenge in automating image processing since most MRI software require a priori knowledge of the type of the MRI sequences to be processed. This issue becomes increasingly critical with the current efforts toward open-sharing of MRI data in the neuroscience community. This manuscript reports an MRI sequence detection method using imaging metadata and a supervised machine learning technique. Three datasets from the Brain Center for Ontario Data Exploration (Brain-CODE) data platform, each involving MRI data from multiple research institutes, are used to build and test our model. The preliminary results show that a random forest model can be trained to accurately identify MRI sequence types, and to recognize MRI scans that do not belong to any of the known sequence types. Therefore the proposed approach can be used to automate processing of MRI data that involves a large number of variations in sequence names, and to help standardize sequence naming in ongoing data collections. This study highlights the potential of the machine learning approaches in helping manage health data.
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Affiliation(s)
- Shuai Liang
- Rotman Research Institute, Baycrest Health Center, Toronto, ON, Canada
- Indoc Research, Toronto, ON, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Center, Toronto, ON, Canada
| | - Stephen R. Arnott
- Rotman Research Institute, Baycrest Health Center, Toronto, ON, Canada
| | - Tom Gee
- Indoc Research, Toronto, ON, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Health Center, Toronto, ON, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, ON, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Glenda M. MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jason P. Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Raymond W. Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Benicio N. Frey
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, Canada
- Mood Disorders Program, St. Joseph’s Healthcare, Hamilton, ON, Canada
| | - Roumen Milev
- Departments of Psychiatry and Psychology, Providence Care Hospital, Queen’s University, Kingston, ON, Canada
| | - Daniel J. Müller
- Molecular Brain Science, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sidney H. Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Krembil Research Centre, University Health Network, Toronto, ON, Canada
- Department of Psychiatry, St. Michael’s Hospital, University of Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Li Ka Shing Knowledge Institute, Toronto, ON, Canada
| | - Christopher J. M. Scott
- L.C. Campbell Cognitive Neurology Research Unit, Toronto, ON, Canada
- Heart & Stroke Foundation Centre for Stroke Recovery, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Stephen C. Strother
- Rotman Research Institute, Baycrest Health Center, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
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38
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Wong D, Broberg DN, Doad J, Umoh JU, Bellyou M, Norley CJD, Holdsworth DW, Montero-Odasso M, Beauchet O, Annweiler C, Bartha R. Effect of Memantine Treatment and Combination with Vitamin D Supplementation on Body Composition in the APP/PS1 Mouse Model of Alzheimer's Disease Following Chronic Vitamin D Deficiency. J Alzheimers Dis 2021; 81:375-388. [PMID: 33780366 DOI: 10.3233/jad-201137] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Vitamin D deficiency and altered body composition are common in Alzheimer's disease (AD). Memantine with vitamin D supplementation can protect cortical axons against amyloid-β exposure and glutamate toxicity. OBJECTIVE To study the effects of vitamin D deprivation and subsequent treatment with memantine and vitamin D enrichment on whole-body composition using a mouse model of AD. METHODS Male APPswe/PS1dE9 mice were divided into four groups at 2.5 months of age: the control group (n = 14) was fed a standard diet throughout; the remaining mice were started on a vitamin D-deficient diet at month 6. The vitamin D-deficient group (n = 14) remained on the vitamin D-deficient diet for the rest of the study. Of the remaining two groups, one had memantine (n = 14), while the other had both memantine and 10 IU/g vitamin D (n = 14), added to their diet at month 9. Serum 25(OH)D levels measured at months 6, 9, 12, and 15 confirmed vitamin D levels were lower in mice on vitamin D-deficient diets and higher in the vitamin D-supplemented mice. Micro-computed tomography was performed at month 15 to determine whole-body composition. RESULTS In mice deprived of vitamin D, memantine increased bone mineral content (8.7% increase, p < 0.01) and absolute skeletal tissue mass (9.3% increase, p < 0.05) and volume (9.2% increase, p < 0.05) relative to controls. This was not observed when memantine treatment was combined with vitamin D enrichment. CONCLUSION Combination treatment of vitamin D and memantine had no negative effects on body composition. Future studies should clarify whether vitamin D status impacts the effects of memantine treatment on bone physiology in people with AD.
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Affiliation(s)
- Dickson Wong
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Dana N Broberg
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Jagroop Doad
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Joseph U Umoh
- Preclinical Imaging Research Centre, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Miranda Bellyou
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Chris J D Norley
- Preclinical Imaging Research Centre, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - David W Holdsworth
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Preclinical Imaging Research Centre, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Manuel Montero-Odasso
- Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, University of Western Ontario, London, ON, Canada.,Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada
| | - Olivier Beauchet
- Department of Medicine, University of Montreal and McGill University, Montreal, QC, Canada
| | - Cedric Annweiler
- Department of Geriatric Medicine and Memory Clinic, Research Center on Autonomy and Longevity, University Hospital, Angers, France.,UPRES EA 4638, University of Angers, Angers, France
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
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39
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McCunn P, Xu X, Moszczynski A, Li A, Brown A, Bartha R. Neurite orientation dispersion and density imaging in a rodent model of acute mild traumatic brain injury. J Neuroimaging 2021; 31:879-892. [PMID: 34473386 DOI: 10.1111/jon.12917] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/24/2021] [Accepted: 07/27/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND PURPOSE Identification of changesin brain microstructure following mild traumatic brain injury (mTBI) could be instrumental in understanding the underlying pathophysiology. The purpose of this study was to apply neurite orientation dispersion and density imaging (NODDI) to a rodent model of mTBI to determine whether microstructural changes could be detected immediately following injury. METHODS Fifteen adult male Wistar rats were scanned on a Bruker 9.4 Tesla small animal MRI using a multi-shell acquisition (30 b = 1000 s/mm2 and 60 b = 2000 s/mm2 ). Nine animals experienced a single closed head controlled cortical impact followed by NODDI from 1 to 4 h post injury. Region of interest analysis focused on the corpus callosum and hippocampus. A mixed analysis of variance (ANOVA) was used to determine statistically significant interactions in neurite density index (NDI), orientation dispersion index (ODI), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity. Follow up repeated-measures ANOVAs were used to determine individual changes over time. RESULTS NDI showed a significant increase in the hippocampus and corpus callosum following injury, while ODI showed increases in the corpus callosum. No significant changes were observed in the sham control animals. No changes were found in FA, MD, AD, or RD. Histological analysis revealed increased glial fibrillary acidic protein staining relative to controls in both the hippocampus and corpus callosum, with evidence of activated astrocytes in these regions. CONCLUSIONS Changes in NODDI metrics were detected as early as 1 h following mTBI. No changes were detected with conventional diffusion tensor imaging (DTI) metrics, suggesting that NODDI provides greater sensitivity to microstructural changes than conventional DTI.
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Affiliation(s)
- Patrick McCunn
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Xiaoyun Xu
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | | | - Alex Li
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.,Departments of Psychiatry and Medical Imaging, University of Western Ontario, London, Ontario, Canada
| | - Arthur Brown
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.,Department of Anatomy and Cell Biology, University of Western Ontario, London, Ontario, Canada
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Cronin AE, Detombe SA, Duggal CA, Duggal N, Bartha R. Spinal cord compression is associated with brain plasticity in degenerative cervical myelopathy. Brain Commun 2021; 3:fcab131. [PMID: 34396102 PMCID: PMC8361426 DOI: 10.1093/braincomms/fcab131] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2021] [Indexed: 11/24/2022] Open
Abstract
The impact of spinal cord compression severity on brain plasticity and prognostic determinates is not yet fully understood. We investigated the association between the severity of spinal cord compression in patients with degenerative cervical myelopathy, a progressive disease of the spine, and functional plasticity in the motor cortex and subcortical areas using functional magnetic resonance imaging. A 3.0 T MRI scanner was used to acquire functional images of the brain in 23 degenerative cervical myelopathy patients. Patients were instructed to perform a structured finger-tapping task to activate the motor cortex to assess the extent of cortical activation. T2-weighted images of the brain and spine were also acquired to quantify the severity of spinal cord compression. The observed blood oxygen level-dependent signal increase in the contralateral primary motor cortex was associated with spinal cord compression severity when patients tapped with their left hand (r = 0.49, P = 0.02) and right hand (r = 0.56, P = 0.005). The volume of activation in the contralateral primary motor cortex also increased with spinal cord compression severity when patients tapped with their left hand (r = 0.55, P = 0.006) and right hand (r = 0.45, P = 0.03). The subcortical areas (cerebellum, putamen, caudate and thalamus) also demonstrated a significant relationship with compression severity. It was concluded that degenerative cervical myelopathy patients with severe spinal cord compression recruit larger regions of the motor cortex to perform finger-tapping tasks, which suggests that this adaptation is a compensatory response to neurological injury and tissue damage in the spinal cord.
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Affiliation(s)
- Alicia E Cronin
- Department of Medical Biophysics, The University of Western Ontario, London, Ontario N6A 3K7, Canada.,Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 3K7, Canada
| | - Sarah A Detombe
- Department of Clinical Neurological Sciences, University Hospital, London Health Sciences Centre, London, Ontario N6A 5A5, Canada
| | - Camille A Duggal
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 3K7, Canada
| | - Neil Duggal
- Department of Medical Biophysics, The University of Western Ontario, London, Ontario N6A 3K7, Canada.,Department of Clinical Neurological Sciences, University Hospital, London Health Sciences Centre, London, Ontario N6A 5A5, Canada
| | - Robert Bartha
- Department of Medical Biophysics, The University of Western Ontario, London, Ontario N6A 3K7, Canada.,Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 3K7, Canada
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Wong D, Atiya S, Fogarty J, Montero-Odasso M, Pasternak SH, Brymer C, Borrie MJ, Bartha R. Reduced Hippocampal Glutamate and Posterior Cingulate N-Acetyl Aspartate in Mild Cognitive Impairment and Alzheimer's Disease Is Associated with Episodic Memory Performance and White Matter Integrity in the Cingulum: A Pilot Study. J Alzheimers Dis 2021; 73:1385-1405. [PMID: 31958093 DOI: 10.3233/jad-190773] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Identification of biological changes underlying the early symptoms of Alzheimer's disease (AD) will help to identify and stage individuals prior to symptom onset. The limbic system, which supports episodic memory and is impaired early in AD, is a primary target. In this study, brain metabolism and microstructure evaluated by high field (7 Tesla) proton magnetic resonance spectroscopy (1H-MRS) and diffusion tensor imaging (DTI) were evaluated in the limbic system of eight individuals with mild cognitive impairment (MCI), nine with AD, and sixteen normal elderly controls (NEC). Left hippocampal glutamate and posterior cingulate N-acetyl aspartate concentrations were reduced in MCI and AD compared to NEC. Differences in DTI metrics indicated volume and white matter loss along the cingulum in AD compared to NEC. Metabolic and microstructural changes were associated with episodic memory performance assessed using Craft Story 21 Recall and Benson Complex Figure Copy. The current study suggests that metabolite concentrations measured using 1H-MRS may provide insight into the underlying metabolic and microstructural processes of episodic memory impairment.
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Affiliation(s)
- Dickson Wong
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Samir Atiya
- Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Jennifer Fogarty
- Parkwood Institute Research Program, Lawson Health Research Institute, London, ON, Canada
| | - Manuel Montero-Odasso
- Parkwood Institute Research Program, Lawson Health Research Institute, London, ON, Canada.,Geriatric Medicine, University of Western Ontario, London, ON, Canada.,Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, London, ON, Canada.,Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Stephen H Pasternak
- Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Parkwood Institute Research Program, Lawson Health Research Institute, London, ON, Canada
| | - Chris Brymer
- Geriatric Medicine, University of Western Ontario, London, ON, Canada
| | - Michael J Borrie
- Parkwood Institute Research Program, Lawson Health Research Institute, London, ON, Canada.,Geriatric Medicine, University of Western Ontario, London, ON, Canada
| | - Robert Bartha
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada.,Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
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Kapoor A, Bartha R, Black SE, Borrie M, Freedman M, Gao F, Herrmann N, Mandzia J, Ozzoude M, Ramirez J, Scott CJM, Symons S, Fischer CE, Frank A, Seitz D, Wolf MU, Verhoeff NPLG, Naglie G, Reichman W, Masellis M, Mitchell SB, Tang-Wai DF, Tartaglia MC, Kumar S, Pollock BG, Rajji TK, Finger E, Pasternak SH, Swartz RH. Structural Brain Magnetic Resonance Imaging to Rule Out Comorbid Pathology in the Assessment of Alzheimer's Disease Dementia: Findings from the Ontario Neurodegenerative Disease Research Initiative (ONDRI) Study and Clinical Trials Over the Past 10 Years. J Alzheimers Dis 2021; 74:747-757. [PMID: 32116253 PMCID: PMC7242844 DOI: 10.3233/jad-191097] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND/OBJECTIVE Structural brain magnetic resonance imaging (MRI) is not mandatory in Alzheimer's disease (AD) research or clinical guidelines. We aimed to explore the use of structural brain MRI in AD/mild cognitive impairment (MCI) trials over the past 10 years and determine the frequency with which inclusion of standardized structural MRI acquisitions detects comorbid vascular and non-vascular pathologies. METHODS We systematically searched ClinicalTrials.gov for AD clinical trials to determine their neuroimaging criteria and then used data from an AD/MCI cohort who underwent standardized MRI protocols, to determine type and incidence of clinically relevant comorbid pathologies. RESULTS Of 210 AD clinical trials, 105 (50%) included structural brain imaging in their eligibility criteria. Only 58 (27.6%) required MRI. 16,479 of 53,755 (30.7%) AD participants were in trials requiring MRI. In the observational AD/MCI cohort, 141 patients met clinical criteria; 22 (15.6%) had relevant MRI findings, of which 15 (10.6%) were exclusionary for the study. DISCUSSION In AD clinical trials over the last 10 years, over two-thirds of participants could have been enrolled without brain MRI and half without even a brain CT. In a study sample, relevant comorbid pathology was found in 15% of participants, despite careful screening. Standardized structural MRI should be incorporated into NIA-AA diagnostic guidelines (when available) and research frameworks routinely to reduce diagnostic heterogeneity.
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Affiliation(s)
| | - Robert Bartha
- Robarts Research Institute and the Department of Medical Biophysics, the University of Western Ontario, London, ON, Canada
| | - Sandra E Black
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
| | - Michael Borrie
- Parkwood Institute, St. Joseph's Health Care Center, London, ON, Canada
| | - Morris Freedman
- University of Toronto, Toronto, ON, Canada.,Rotman Research Institute of Baycrest Health Sciences, Toronto, ON, Canada.,Baycrest Health Sciences, Toronto, ON, Canada
| | - Fuqiang Gao
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
| | - Jennifer Mandzia
- Western University, London, ON, Canada.,London Health Sciences Centre, London, ON, Canada
| | - Miracle Ozzoude
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - Sean Symons
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Research, the Li Ka Shing Knowledge Institute, St. Michaels Hospital, Toronto, ON, Canada
| | | | - Dallas Seitz
- Department of Psychiatry and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Michael Uri Wolf
- University of Toronto, Toronto, ON, Canada.,Baycrest Health Sciences, Toronto, ON, Canada
| | | | - Gary Naglie
- University of Toronto, Toronto, ON, Canada.,Rotman Research Institute of Baycrest Health Sciences, Toronto, ON, Canada.,Baycrest Health Sciences, Toronto, ON, Canada
| | - William Reichman
- University of Toronto, Toronto, ON, Canada.,Baycrest Health Sciences, Toronto, ON, Canada
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
| | - Sara B Mitchell
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
| | - David F Tang-Wai
- University of Toronto, Toronto, ON, Canada.,University Health Network Memory Clinic, University of Toronto, Division of Neurology & Geriatric Medicine, Toronto, ON, Canada
| | - Maria Carmela Tartaglia
- University of Toronto, Toronto, ON, Canada.,Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Sanjeev Kumar
- University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Bruce G Pollock
- University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Elizabeth Finger
- Parkwood Institute, St. Joseph's Health Care Center, London, ON, Canada.,Western University, London, ON, Canada
| | - Stephen H Pasternak
- Robarts Research Institute and the Department of Medical Biophysics, the University of Western Ontario, London, ON, Canada.,Parkwood Institute, St. Joseph's Health Care Center, London, ON, Canada.,Western University, London, ON, Canada
| | | | - Richard H Swartz
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
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Bray NW, Pieruccini-Faria F, Bartha R, Doherty TJ, Nagamatsu LS, Montero-Odasso M. The effect of physical exercise on functional brain network connectivity in older adults with and without cognitive impairment. A systematic review. Mech Ageing Dev 2021; 196:111493. [PMID: 33887281 DOI: 10.1016/j.mad.2021.111493] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Neurodegeneration is a biproduct of aging that results in concomitant cognitive decline. Physical exercise is an emerging intervention to improve brain health. The underlying neural mechanisms linking exercise to neurodegeneration, however, are unclear. Functional brain network connectivity (FBNC) refers to neural regions that are anatomically separate but temporally synched in functional signalling. FBNC can be measured using functional Magnetic Resonance Imaging (fMRI) and is affected by neurodegeneration. METHODS We conducted a systematic review using PubMed and EMBASE to assess the effect of physical exercise on FBNC in older adults with and without cognitive impairment. RESULTS Our search yielded 1474 articles; after exclusion, 13 were included in the final review, 8 of which focused on cognitively healthy older adults. 10 studies demonstrated an increase in FBNC post-exercise intervention, while 11 studies showed improvements in secondary outcomes (cognitive and/or physical performance). One study showed significant correlations between FBNC and cognitive performance measures that significantly improved post-intervention. DISCUSSION We found evidence that physical exercise increases FBNC. When assessing the association between FBNC with physical and cognitive functioning, careful consideration must be given to variability in exercise parameters, neural regions of interest and networks examined, and heterogeneity in methodological approaches.
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Affiliation(s)
- Nick W Bray
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Gait and Brain Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada.
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada; Department of Medicine and Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Robarts Research Institute, Western University, London, ON, Canada.
| | - Timothy J Doherty
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Neuromuscular Function Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada; Department of Clinical Neurological Sciences, Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Lindsay S Nagamatsu
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Exercise, Mobility and Brain Health Lab, Western University, London, ON, Canada; Brain and Mind Institute, Western University, London, ON, Canada.
| | - Manuel Montero-Odasso
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Gait and Brain Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada; Department of Medicine and Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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Xu X, Cowan M, Beraldo F, Schranz A, McCunn P, Geremia N, Brown Z, Patel M, Nygard KL, Khazaee R, Lu L, Liu X, Strong MJ, Dekaban GA, Menon R, Bartha R, Daley M, Mao H, Prado V, Prado MAM, Saksida L, Bussey T, Brown A. Repetitive mild traumatic brain injury in mice triggers a slowly developing cascade of long-term and persistent behavioral deficits and pathological changes. Acta Neuropathol Commun 2021; 9:60. [PMID: 33823944 PMCID: PMC8025516 DOI: 10.1186/s40478-021-01161-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 03/17/2021] [Indexed: 12/15/2022] Open
Abstract
We have previously reported long-term changes in the brains of non-concussed varsity rugby players using magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI) and functional magnetic imaging (fMRI). Others have reported cognitive deficits in contact sport athletes that have not met the diagnostic criteria for concussion. These results suggest that repetitive mild traumatic brain injuries (rmTBIs) that are not severe enough to meet the diagnostic threshold for concussion, produce long-term consequences. We sought to characterize the neuroimaging, cognitive, pathological and metabolomic changes in a mouse model of rmTBI. Using a closed-skull model of mTBI that when scaled to human leads to rotational and linear accelerations far below what has been reported for sports concussion athletes, we found that 5 daily mTBIs triggered two temporally distinct types of pathological changes. First, during the first days and weeks after injury, the rmTBI produced diffuse axonal injury, a transient inflammatory response and changes in diffusion tensor imaging (DTI) that resolved with time. Second, the rmTBI led to pathological changes that were evident months after the injury including: changes in magnetic resonance spectroscopy (MRS), altered levels of synaptic proteins, behavioural deficits in attention and spatial memory, accumulations of pathologically phosphorylated tau, altered blood metabolomic profiles and white matter ultrastructural abnormalities. These results indicate that exceedingly mild rmTBI, in mice, triggers processes with pathological consequences observable months after the initial injury.
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Ntiri EE, Holmes MF, Forooshani PM, Ramirez J, Gao F, Ozzoude M, Adamo S, Scott CJM, Dowlatshahi D, Lawrence-Dewar JM, Kwan D, Lang AE, Symons S, Bartha R, Strother S, Tardif JC, Masellis M, Swartz RH, Moody A, Black SE, Goubran M. Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs. Neuroinformatics 2021; 19:597-618. [PMID: 33527307 DOI: 10.1007/s12021-021-09510-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/01/2021] [Indexed: 11/30/2022]
Abstract
Successful segmentation of the total intracranial vault (ICV) and ventricles is of critical importance when studying neurodegeneration through neuroimaging. We present iCVMapper and VentMapper, robust algorithms that use a convolutional neural network (CNN) to segment the ICV and ventricles from both single and multi-contrast MRI data. Our models were trained on a large dataset from two multi-site studies (N = 528 subjects for ICV, N = 501 for ventricular segmentation) consisting of older adults with varying degrees of cerebrovascular lesions and atrophy, which pose significant challenges for most segmentation approaches. The models were tested on 238 participants, including subjects with vascular cognitive impairment and high white matter hyperintensity burden. Two of the three test sets came from studies not used in the training dataset. We assessed our algorithms relative to four state-of-the-art ICV extraction methods (MONSTR, BET, Deep Extraction, FreeSurfer, DeepMedic), as well as two ventricular segmentation tools (FreeSurfer, DeepMedic). Our multi-contrast models outperformed other methods across many of the evaluation metrics, with average Dice coefficients of 0.98 and 0.96 for ICV and ventricular segmentation respectively. Both models were also the most time efficient, segmenting the structures in orders of magnitude faster than some of the other available methods. Our networks showed an increased accuracy with the use of a conditional random field (CRF) as a post-processing step. We further validated both segmentation models, highlighting their robustness to images with lower resolution and signal-to-noise ratio, compared to tested techniques. The pipeline and models are available at: https://icvmapp3r.readthedocs.io and https://ventmapp3r.readthedocs.io to enable further investigation of the roles of ICV and ventricles in relation to normal aging and neurodegeneration in large multi-site studies.
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Affiliation(s)
- Emmanuel E Ntiri
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Melissa F Holmes
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Parisa M Forooshani
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Christopher J M Scott
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Dar Dowlatshahi
- Department of Medicine, The Ottawa Hospital, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Donna Kwan
- Department of Psychology, Faculty of Health, York University, Toronto, Canada
| | - Anthony E Lang
- The Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada
| | - Sean Symons
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Stephen Strother
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | | | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada.,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada.,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Alan Moody
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada.,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, Canada. .,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada.
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Miller MR, Robinson M, Bartha R, Charyk Stewart T, Fischer L, Dekaban GA, Menon RS, Shoemaker JK, Fraser DD. Concussion Acutely Decreases Plasma Glycerophospholipids in Adolescent Male Athletes. J Neurotrauma 2021; 38:1608-1614. [PMID: 33176582 DOI: 10.1089/neu.2020.7125] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Concussions are frequent in sports and can contribute to significant and long-lasting neurological disability. Adolescents are particularly susceptible to concussions, with accurate determination of the injury challenging. Our previous study demonstrated that concussion diagnoses could be aided by metabolomics profiling and machine learning, with particular weighting on changes in plasma glycerophospholipids (PCs). Here, our aim was to report directional change of PCs after concussion and develop a diagnostic concussion panel utilizing a minimum number of plasma PCs. To this end, we enrolled 12 concussed male athletes at our academic Sport Medicine Concussion Clinic, as well as 17 sex-, age-, and activity-matched healthy controls. Blood was drawn and 71 plasma PCs were measured for statistically significant changes within 72 h of injury, and individual PCs were further analyzed with receiver operating characteristic (ROC) curves. Our data demonstrated that 26 of 71 PCs measured were significantly decreased after sports-related concussion (p < 0.01). None of the PCs increased in plasma after concussion. ROC curve analyses identified the top four PCs with areas under the curve (AUCs) ≥0.86 for concussion diagnosis: PCaeC36:0 (0.92; p < 0.001); PCaaC42:6 (0.90; p < 0.001); PCaeC36:2 (0.86; p = 0.001), and PCaaC32:0 (0.86; p = 0.001). Cut-off values in μM were ≤0.31, 0.22, 5.07, and 4.63, respectively. Importantly, combining these four PCs produced an AUC of 0.96 for concussion diagnoses (p < 0.001; 95% confidence interval, 0.89, 1.00). Our data suggest that as few as four circulating PCs may provide excellent diagnostic potential for adolescent concussion. External validation is required in larger cohorts.
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Affiliation(s)
- Michael R Miller
- Pediatrics, Western University, London, Ontario, Canada.,Children's Health Research Institute, London, Ontario, Canada
| | | | - Robert Bartha
- Medical Biophysics, Western University, London, Ontario, Canada.,Robarts Research Institute, London, Ontario, Canada
| | | | - Lisa Fischer
- Family Medicine, Western University, London, Ontario, Canada
| | - Gregory A Dekaban
- Microbiology and Immunology, Western University, London, Ontario, Canada.,Robarts Research Institute, London, Ontario, Canada
| | - Ravi S Menon
- Medical Biophysics, Western University, London, Ontario, Canada.,Robarts Research Institute, London, Ontario, Canada
| | | | - Douglas D Fraser
- Pediatrics, Western University, London, Ontario, Canada.,Physiology and Pharmacology, Western University, London, Ontario, Canada.,Clinical Neurological Sciences, Western University, London, Ontario, Canada.,Children's Health Research Institute, London, Ontario, Canada.,Neurolytixs, Inc., Toronto, Ontario, Canada
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47
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Theyers AE, Zamyadi M, O'Reilly M, Bartha R, Symons S, MacQueen GM, Hassel S, Lerch JP, Anagnostou E, Lam RW, Frey BN, Milev R, Müller DJ, Kennedy SH, Scott CJM, Strother SC, Arnott SR. Multisite Comparison of MRI Defacing Software Across Multiple Cohorts. Front Psychiatry 2021; 12:617997. [PMID: 33716819 PMCID: PMC7943842 DOI: 10.3389/fpsyt.2021.617997] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/03/2021] [Indexed: 01/26/2023] Open
Abstract
With improvements to both scan quality and facial recognition software, there is an increased risk of participants being identified by a 3D render of their structural neuroimaging scans, even when all other personal information has been removed. To prevent this, facial features should be removed before data are shared or openly released, but while there are several publicly available software algorithms to do this, there has been no comprehensive review of their accuracy within the general population. To address this, we tested multiple algorithms on 300 scans from three neuroscience research projects, funded in part by the Ontario Brain Institute, to cover a wide range of ages (3-85 years) and multiple patient cohorts. While skull stripping is more thorough at removing identifiable features, we focused mainly on defacing software, as skull stripping also removes potentially useful information, which may be required for future analyses. We tested six publicly available algorithms (afni_refacer, deepdefacer, mri_deface, mridefacer, pydeface, quickshear), with one skull stripper (FreeSurfer) included for comparison. Accuracy was measured through a pass/fail system with two criteria; one, that all facial features had been removed and two, that no brain tissue was removed in the process. A subset of defaced scans were also run through several preprocessing pipelines to ensure that none of the algorithms would alter the resulting outputs. We found that the success rates varied strongly between defacers, with afni_refacer (89%) and pydeface (83%) having the highest rates, overall. In both cases, the primary source of failure came from a single dataset that the defacer appeared to struggle with - the youngest cohort (3-20 years) for afni_refacer and the oldest (44-85 years) for pydeface, demonstrating that defacer performance not only depends on the data provided, but that this effect varies between algorithms. While there were some very minor differences between the preprocessing results for defaced and original scans, none of these were significant and were within the range of variation between using different NIfTI converters, or using raw DICOM files.
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Affiliation(s)
- Athena E Theyers
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, ON, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, ON, Canada
| | | | - Robert Bartha
- Department of Medical Biophysics, Robarts Research Institute, Western University, London, ON, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jason P Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Roumen Milev
- Departments of Psychiatry and Psychology, Queen's University, Providence Care Hospital, Kingston, ON, Canada
| | - Daniel J Müller
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Krembil Research Centre, University Health Network, Toronto, ON, Canada.,Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Christopher J M Scott
- LC Campbell Cognitive Neurology Research Unit, Toronto, ON, Canada.,Heart & Stroke Foundation Centre for Stroke Recovery, Toronto, ON, Canada.,Sunnybrook Health Sciences Centre, Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, ON, Canada
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48
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Ozzoude M, Ramirez J, Raamana PR, Holmes MF, Walker K, Scott CJM, Gao F, Goubran M, Kwan D, Tartaglia MC, Beaton D, Saposnik G, Hassan A, Lawrence-Dewar J, Dowlatshahi D, Strother SC, Symons S, Bartha R, Swartz RH, Black SE. Cortical Thickness Estimation in Individuals With Cerebral Small Vessel Disease, Focal Atrophy, and Chronic Stroke Lesions. Front Neurosci 2021; 14:598868. [PMID: 33381009 PMCID: PMC7768006 DOI: 10.3389/fnins.2020.598868] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 11/24/2020] [Indexed: 01/18/2023] Open
Abstract
Background Regional changes to cortical thickness in individuals with neurodegenerative and cerebrovascular diseases (CVD) can be estimated using specialized neuroimaging software. However, the presence of cerebral small vessel disease, focal atrophy, and cortico-subcortical stroke lesions, pose significant challenges that increase the likelihood of misclassification errors and segmentation failures. Purpose The main goal of this study was to examine a correction procedure developed for enhancing FreeSurfer’s (FS’s) cortical thickness estimation tool, particularly when applied to the most challenging MRI obtained from participants with chronic stroke and CVD, with varying degrees of neurovascular lesions and brain atrophy. Methods In 155 CVD participants enrolled in the Ontario Neurodegenerative Disease Research Initiative (ONDRI), FS outputs were compared between a fully automated, unmodified procedure and a corrected procedure that accounted for potential sources of error due to atrophy and neurovascular lesions. Quality control (QC) measures were obtained from both procedures. Association between cortical thickness and global cognitive status as assessed by the Montreal Cognitive Assessment (MoCA) score was also investigated from both procedures. Results Corrected procedures increased “Acceptable” QC ratings from 18 to 76% for the cortical ribbon and from 38 to 92% for tissue segmentation. Corrected procedures reduced “Fail” ratings from 11 to 0% for the cortical ribbon and 62 to 8% for tissue segmentation. FS-based segmentation of T1-weighted white matter hypointensities were significantly greater in the corrected procedure (5.8 mL vs. 15.9 mL, p < 0.001). The unmodified procedure yielded no significant associations with global cognitive status, whereas the corrected procedure yielded positive associations between MoCA total score and clusters of cortical thickness in the left superior parietal (p = 0.018) and left insula (p = 0.04) regions. Further analyses with the corrected cortical thickness results and MoCA subscores showed a positive association between left superior parietal cortical thickness and Attention (p < 0.001). Conclusion These findings suggest that correction procedures which account for brain atrophy and neurovascular lesions can significantly improve FS’s segmentation results and reduce failure rates, thus maximizing power by preventing the loss of our important study participants. Future work will examine relationships between cortical thickness, cerebral small vessel disease, and cognitive dysfunction due to neurodegenerative disease in the ONDRI study.
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Affiliation(s)
- Miracle Ozzoude
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - Melissa F Holmes
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Kirstin Walker
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher J M Scott
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Fuqiang Gao
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queens University, Kingston, ON, Canada
| | - Maria C Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Gustavo Saposnik
- Stroke Outcomes and Decision Neuroscience Research Unit, Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
| | | | - Dariush Dowlatshahi
- Department of Medicine (Neurology), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Department of Medical Biophysics, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Richard H Swartz
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sandra E Black
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
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49
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Pieruccini-Faria F, McLaughlin P, Cornish B, Binns M, Bartha R, McIlroy B, Odasso MM, Faria F. Dual-Task Gait Cost and Frontal Lobe Integrity in Poststroke: Results From ONDRI. Innov Aging 2020. [PMCID: PMC7740483 DOI: 10.1093/geroni/igaa057.826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Dual-task gait performance is a marker of motor-cognitive interactions modulated by the frontal lobes. After a stroke, gait disturbances are more evident, particularly when concurrently completing a mental task and walking, an effect called high dual-task cost (DTC). Following a stroke, the potential association of high-DTC, integrity of the frontal lobes and cognitive functioning is unclear. This study screened 161 participants with stroke history from the Ontario Neurodegenerative Disease Research Initiative (ONDRI)-cerebrovascular disease cohort (69.2±7.41 years of age; 31.7% women). Individuals scoring zero in the National Institute of Health Stroke Scale were analyzed (n=102). DTC was the percentage change in gait speed from the single to dual-task condition. Standardized normal-appearing white matter (NAWM) and grey matter (NAGM) volumes from superior, middle and inferior frontal lobe were compared between DTC quartiles (adjusted for age, sex, and education) using a multivariate model (MANOVA), with total frontal lobe volume as a covariate. Another model compared group performance across 5 adjusted cognitive domains (attention, memory, language, visuospatial performance, and executive functioning). Univariate tests revealed that NAWM volume in the superior frontal lobe (F=4.50; p=0.005; partial eta-squared=0.122) was significantly different across DTC quartiles. Contrast tests suggested that the first quartile had larger NAWM than the second and fourth. DTC quartiles also showed differences in attention (F=2.93; p=0.03; partial eta-squared=0.083) and contrast tests indicated that the first quartile performed significantly better than second and fourth. DTC poststroke may be a proxy for structural integrity of superior frontal lobe regions and attention.
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Affiliation(s)
| | | | | | | | | | - Bill McIlroy
- University of Waterloo, Waterloo, Ontario, Canada
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50
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Haddad SMH, Faria‐Pieruccini F, Montero‐Odasso M, Bartha R. White matter disintegration along tracts measured by diffusion tensor imaging in people with MCI. Alzheimers Dement 2020. [DOI: 10.1002/alz.046324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
| | - Frederico Faria‐Pieruccini
- Schulich School of Medicine& Dentistry Division of Geriatric Medicine Western University London ON Canada
| | - Manuel Montero‐Odasso
- Schulich School of Medicine& Dentistry Division of Geriatric Medicine Western University London ON Canada
| | - Robert Bartha
- Robarts Research Institute Western University London ON Canada
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