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DeCarli C, Rajan KB, Jin LW, Hinman J, Johnson DK, Harvey D, Fornage M. WMH Contributions to Cognitive Impairment: Rationale and Design of the Diverse VCID Study. Stroke 2025; 56:758-776. [PMID: 39545328 PMCID: PMC11850211 DOI: 10.1161/strokeaha.124.045903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2024]
Abstract
As awareness of dementia increases, more individuals with minor cognitive complaints are requesting clinical assessment. Neuroimaging studies frequently identify incidental white matter hyperintensities, raising patient concerns about their brain health and future risk for dementia. Moreover, current US demographics indicate that ≈50% of these individuals will be from diverse backgrounds by 2060. Racial and ethnic minority populations bear a disproportionate burden of vascular risk factors magnifying dementia risk. Despite established associations between white matter hyperintensities and cognitive impairment, including dementia, no study has comprehensively and prospectively examined the impact of individual and combined magnetic resonance imaging measures of white matter injury, their risk factors, and comorbidities on cognitive performance among a diverse, nondemented, stroke-free population with cognitive complaints over an extended period of observation. The Diverse VCID (Diverse Vascular Cognitive Impairment and Dementia) study is designed to fill this knowledge gap through 3 assessments of clinical, behavioral, and risk factors; neurocognitive and magnetic resonance imaging measures; fluid biomarkers of Alzheimer disease, vascular inflammation, angiogenesis, and endothelial dysfunction; and measures of genetic risk collected prospectively over a minimum of 3 years in a cohort of 2250 individuals evenly distributed among Americans of Black/African, Latino/Hispanic, and non-Hispanic White backgrounds. The goal of this study is to investigate the basic mechanisms of small vessel cerebrovascular injury, emphasizing clinically relevant assessment tools and developing a risk score that will accurately identify at-risk individuals for possible treatment or clinical therapeutic trials, particularly individuals of diverse backgrounds where vascular risk factors and disease are more prevalent.
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Affiliation(s)
- Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, CA, USA
| | - Kumar B. Rajan
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago IL
| | - Lee-Way Jin
- Department of Pathology and Laboratory Medicine University of California Davis California USA
| | - Jason Hinman
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, United States
| | - David K. Johnson
- Department of Neurology, University of California at Davis, Sacramento, CA, USA
| | - Danielle Harvey
- Department of Public Health Sciences University of California Davis California USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
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Tazwar M, Evia AM, Ridwan AR, Leurgans SE, Bennett DA, Schneider JA, Arfanakis K. Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is associated with abnormalities in white matter structural integrity and connectivity: An ex-vivo diffusion MRI and pathology investigation. Neurobiol Aging 2024; 140:81-92. [PMID: 38744041 PMCID: PMC11182335 DOI: 10.1016/j.neurobiolaging.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 05/16/2024]
Abstract
Limbic predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is common in older adults and is associated with neurodegeneration, cognitive decline and dementia. In this MRI and pathology investigation we tested the hypothesis that LATE-NC is associated with abnormalities in white matter structural integrity and connectivity of a network of brain regions typically harboring TDP-43 inclusions in LATE, referred to here as the "LATE-NC network". Ex-vivo diffusion MRI and detailed neuropathological data were collected on 184 community-based older adults. Linear regression revealed an independent association of higher LATE-NC stage with lower diffusion anisotropy in a set of white matter connections forming a pattern of connectivity that is consistent with the stereotypical spread of this pathology in the brain. Graph theory analysis revealed an association of higher LATE-NC stage with weaker integration and segregation in the LATE-NC network. Abnormalities were significant in stage 3, suggesting that they are detectable in later stages of the disease. Finally, LATE-NC network abnormalities were associated with faster cognitive decline, specifically in episodic and semantic memory.
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Affiliation(s)
- Mahir Tazwar
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arnold M Evia
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Abdur Raquib Ridwan
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA.
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Ahn JY, Kang Y, Kim A, Tae WS, Han KM, Ham BJ. Association Between White Matter Tract Integrity and Frontal-Executive Function in Non-Geriatric Adult Patients With Major Depressive Disorder. Psychiatry Investig 2024; 21:133-141. [PMID: 38321889 PMCID: PMC10910163 DOI: 10.30773/pi.2023.0229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/09/2023] [Accepted: 10/25/2023] [Indexed: 02/08/2024] Open
Abstract
OBJECTIVE This study investigated the association between white matter tract integrity and frontal executive function in adult non-geriatric patients with major depressive disorder (MDD) and healthy controls (HCs) using diffusion tensor imaging (DTI). METHODS In total, 57 patients with MDD and 115 HCs participated in this study. We calculated the integrity of the white matter tracts using the Tracts Constrained by Underlying Anatomy tool (TRACULA) from FreeSurfer. We performed cognitive function tests. Oneway analysis of covariance was used to investigate the DTI parameters as dependent variables; diagnosis of MDD as an independent variable; and age, sex, and education level as covariates. For correlation analysis between the DTI parameters and cognitive function tests, Pearson's partial correlation analyses were performed in the MDD and HC groups. RESULTS The patients with MDD showed significantly decreased axial diffusivity (AD) in forceps major (FMajor), left corticospinal tract (CST), left superior longitudinal fasciculus-parietal bundle (SLFP), right anterior thalamic radiation (ATR), right CST, right inferior longitudinal fasciculus (ILF) and right superior longitudinal fasciculus-temporal bundle (SLFT) and mean diffusivity (MD) in the left CST, right CST, and right SLFT compared to HCs. We found that non-geriatric patients with MDD showed a significant negative correlation between the response time in the Stroop task and the AD value of the FMajor. CONCLUSION Our findings suggest that impaired structural connectivity in the FMajor may be associated with cognitive dysfunction in non-geriatric patients with MDD.
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Affiliation(s)
- Joo-Yeon Ahn
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
- Brain Convergence Research Center, Korea University, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
- Brain Convergence Research Center, Korea University, Seoul, Republic of Korea
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Dziadkowiak E, Koszewicz M, Podgórski P, Wieczorek M, Budrewicz S, Zimny A. Central nervous system involvement in chronic inflammatory demyelinating polyradiculoneuropathy-MRS and DTI study. Front Neurol 2024; 15:1301405. [PMID: 38333607 PMCID: PMC10850251 DOI: 10.3389/fneur.2024.1301405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/04/2024] [Indexed: 02/10/2024] Open
Abstract
Objective The current research aimed to analyze the alterations within the motor cortex and pyramidal pathways and their association with the degree of damage within the peripheral nerve fibers in patients with chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). To achieve that goal, we investigated the microstructural changes within the pyramidal white matter tracts using diffusion tensor imaging (DTI) parameters, evaluated metabolic alterations in both precentral gyri using magnetic resonance spectroscopy (MRS) ratios, and correlated them with the neurographic findings in patients with CIDP. Methods The spectroscopic ratios of NAA/Cr, Cho/Cr, and mI/Cr from both precentral gyri and the values of fractional anisotropy (FA), axial diffusivity (AD), and mean diffusivity (MD) from both of the corticospinal tracts were correlated with the results of neurological and neurographic findings. The comparison of DTI parameters between the patients and controls was performed using Student's t-test or the Mann-Whitney U test. Due to the lack of normal distribution of most variables, Spearman's Rho rank coefficient was used to test all correlations. All analyses were performed at a significant level of alpha = 0.05 using STATISTICA 13.3. Results Compared to the control group (CG), the patient group showed significantly lower ratios of NAA/Cr (1.66 ± 0.11 vs. 1.61 ± 0.15; p = 0.022), higher ratios of ml/Cr in the right precentral gyrus (0.57 ± 0.15 vs. 0.61 ± 0.08; p = 0.005), and higher levels of Cho/Cr within the left precentral gyrus (0.83 ± 0.09 vs. 0.88 ± 0.14, p = 0.012). The DTI parameters of MD from the right CST and AD from the right and left CSTs showed a strong positive correlation (0.52-0.53) with the sural sensory nerve action potential (SNAP) latency of the right sural nerve. There were no other significant correlations between other DTI and MRS parameters and neurographic results. Significance In our study, significant metabolic alterations were found in the precentral gyri in patients with CIDP without clinical symptoms of central nervous system involvement. The revealed changes reflected neuronal loss or dysfunction, myelin degradation, and increased gliosis. Our results suggest coexisting CNS damage in these patients and may provide a new insight into the still unknown pathomechanism of CIDP.
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Affiliation(s)
- Edyta Dziadkowiak
- Department of Neurology, Wroclaw Medical University, Borowska, Wrocław, Poland
| | - Magdalena Koszewicz
- Department of Neurology, Wroclaw Medical University, Borowska, Wrocław, Poland
| | - Przemysław Podgórski
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska, Wrocław, Poland
| | - Małgorzata Wieczorek
- Faculty of Earth Sciences and Environmental Management, University of Wroclaw, Uniwersytecki, Wrocław, Poland
| | - Sławomir Budrewicz
- Department of Neurology, Wroclaw Medical University, Borowska, Wrocław, Poland
| | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska, Wrocław, Poland
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Farkhondeh V, DeCarli C. White matter hyperintensities in diverse populations: A systematic review of literature in the United States. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100204. [PMID: 38298455 PMCID: PMC10828602 DOI: 10.1016/j.cccb.2024.100204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/20/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024]
Abstract
As the United States' (US) elderly population becomes increasingly diverse, it is imperative that research studies address cognitive health in diverse populations of older Americans. White Matter Hyperintensities (WMH) are useful imaging findings that can be studied in elderly individuals and have been linked to an increased risk of neurological conditions, such as stroke, cognitive impairment, and dementia. We performed a systematic review of literature using PubMed sources to compile all the studies that investigated the prevalence of ethnic and racial differences of WMH burden amongst diverse groups in the US. We identified 23 unique articles that utilized 16 distinct cohorts of which 94 % were prospective, longitudinal studies that included community-based and family-based populations. The overall results were heterogenous in all aspects of data collection and analysis, limiting our ability to run meta-analyses and draw definitive conclusions. General observations suggest increased vascular risk on African American populations, contributing to greater WMH burden in that population. Overall, the findings of this study indicate a need for a standardized approach to investigating WMH in efforts to measure its clinical impact on diverse populations.
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Affiliation(s)
- Vista Farkhondeh
- Department of Neurology, University of California, Davis School of Medicine, Sacramento, CA, United States
- Imaging of Dementia and Aging Laboratory and Center for Neurosciences, Davis, CA, United States
| | - Charles DeCarli
- Department of Neurology, University of California, Davis School of Medicine, Sacramento, CA, United States
- Imaging of Dementia and Aging Laboratory and Center for Neurosciences, Davis, CA, United States
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Li Y, An S, Zhou T, Su C, Zhang S, Li C, Jiang J, Mu Y, Yao N, Huang ZG. Triple-network analysis of Alzheimer's disease based on the energy landscape. Front Neurosci 2023; 17:1171549. [PMID: 37287802 PMCID: PMC10242117 DOI: 10.3389/fnins.2023.1171549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/13/2023] [Indexed: 06/09/2023] Open
Abstract
Introduction Research on the brain activity during resting state has found that brain activation is centered around three networks, including the default mode network (DMN), the salient network (SN), and the central executive network (CEN), and switches between multiple modes. As a common disease in the elderly, Alzheimer's disease (AD) affects the state transitions of functional networks in the resting state. Methods Energy landscape, as a new method, can intuitively and quickly grasp the statistical distribution of system states and information related to state transition mechanisms. Therefore, this study mainly uses the energy landscape method to study the changes of the triple-network brain dynamics in AD patients in the resting state. Results AD brain activity patterns are in an abnormal state, and the dynamics of patients with AD tend to be unstable, with an unusually high flexibility in switching between states. Also , the subjects' dynamic features are correlated with clinical index. Discussion The atypical balance of large-scale brain systems in patients with AD is associated with abnormally active brain dynamics. Our study are helpful for further understanding the intrinsic dynamic characteristics and pathological mechanism of the resting-state brain in AD patients.
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Affiliation(s)
- Youjun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Simeng An
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Tianlin Zhou
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Chunwang Su
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Siping Zhang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Chenxi Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China
| | - Junjie Jiang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yunfeng Mu
- Department of Gynecological Oncology, Shaanxi Provincial Cancer Hospital, Xi'an, China
| | - Nan Yao
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Department of Applied Physics, Xi'an University of Technology, Xi'an, China
| | - Zi-Gang Huang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China
- Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- The State Key Laboratory of Congnitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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Sharp FR, DeCarli CS, Jin LW, Zhan X. White matter injury, cholesterol dysmetabolism, and APP/Abeta dysmetabolism interact to produce Alzheimer's disease (AD) neuropathology: A hypothesis and review. Front Aging Neurosci 2023; 15:1096206. [PMID: 36845656 PMCID: PMC9950279 DOI: 10.3389/fnagi.2023.1096206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/30/2023] [Indexed: 02/12/2023] Open
Abstract
We postulate that myelin injury contributes to cholesterol release from myelin and cholesterol dysmetabolism which contributes to Abeta dysmetabolism, and combined with genetic and AD risk factors, leads to increased Abeta and amyloid plaques. Increased Abeta damages myelin to form a vicious injury cycle. Thus, white matter injury, cholesterol dysmetabolism and Abeta dysmetabolism interact to produce or worsen AD neuropathology. The amyloid cascade is the leading hypothesis for the cause of Alzheimer's disease (AD). The failure of clinical trials based on this hypothesis has raised other possibilities. Even with a possible new success (Lecanemab), it is not clear whether this is a cause or a result of the disease. With the discovery in 1993 that the apolipoprotein E type 4 allele (APOE4) was the major risk factor for sporadic, late-onset AD (LOAD), there has been increasing interest in cholesterol in AD since APOE is a major cholesterol transporter. Recent studies show that cholesterol metabolism is intricately involved with Abeta (Aβ)/amyloid transport and metabolism, with cholesterol down-regulating the Aβ LRP1 transporter and upregulating the Aβ RAGE receptor, both of which would increase brain Aβ. Moreover, manipulating cholesterol transport and metabolism in rodent AD models can ameliorate pathology and cognitive deficits, or worsen them depending upon the manipulation. Though white matter (WM) injury has been noted in AD brain since Alzheimer's initial observations, recent studies have shown abnormal white matter in every AD brain. Moreover, there is age-related WM injury in normal individuals that occurs earlier and is worse with the APOE4 genotype. Moreover, WM injury precedes formation of plaques and tangles in human Familial Alzheimer's disease (FAD) and precedes plaque formation in rodent AD models. Restoring WM in rodent AD models improves cognition without affecting AD pathology. Thus, we postulate that the amyloid cascade, cholesterol dysmetabolism and white matter injury interact to produce and/or worsen AD pathology. We further postulate that the primary initiating event could be related to any of the three, with age a major factor for WM injury, diet and APOE4 and other genes a factor for cholesterol dysmetabolism, and FAD and other genes for Abeta dysmetabolism.
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Affiliation(s)
- Frank R. Sharp
- Department of Neurology, The MIND Institute, University of California at Davis Medical Center, Sacramento, CA, United States
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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: 0.7] [Reference Citation Analysis] [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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Medvedev AV. Assessment of Cognitive Reserve using Near Infrared Spectroscopy. JOURNAL OF ANALYTICAL TECHNIQUES AND RESEARCH 2022; 4:89-101. [PMID: 35999855 PMCID: PMC9394433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Cognitive reserve (CR) is the ability to preserve cognitive functions in the presence of brain pathology. In the context of Alzheimer's disease (AD), patients with higher CR show better cognitive performance relative to brain damage therefore higher CR reduces the risk of dementia. There is a strong need to develop a neurophysiological biomarker of CR given the growing interest in understanding protective brain mechanisms in AD. FMRI studies indicate that frontoparietal network plays an important role in cognitive reserve. We calculated intraregional functional connectivity of lateral prefrontal cortex (FC LPFC) using functional near infrared spectroscopy (fNIRS) in the resting state of 13 healthy individuals who were also assessed for IQ and motoric skills (the Purdue Pegboard test, PPT). FC LPFC was found to positively correlate with IQ (a proxy measure of cognitive reserve) while showing a lack of or negative correlation with the PPT scores. The results demonstrate that the cost-effective, noninvasive and widely applicable fNIRS technology can be used to evaluate cognitive reserve in individuals at risk for and patients with AD with possible numerous applications in the context of healthy aging and other age-related cognitive disorders.
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Affiliation(s)
- Andrei V. Medvedev
- Corresponding Author: Andrei Medvedev, Ph.D, Center for Functional and Molecular Imaging, Department of Neurology, Georgetown University Medical Center, Washington DC, USA
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10
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18F-florbetapir PET as a marker of myelin integrity across the Alzheimer's disease spectrum. Eur J Nucl Med Mol Imaging 2021; 49:1242-1253. [PMID: 34581847 PMCID: PMC8921113 DOI: 10.1007/s00259-021-05493-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 07/08/2021] [Indexed: 01/23/2023]
Abstract
Purpose Recent evidence suggests that PET imaging with amyloid-β (Aβ) tracers can be used to assess myelin integrity in cerebral white matter (WM). Alzheimer’s disease (AD) is characterized by myelin changes that are believed to occur early in the disease course. Nevertheless, the extent to which demyelination, as measured with Aβ PET, contributes to AD progression remains unexplored. Methods Participants with concurrent 18F-florbetapir (FBP) PET, MRI, and cerebrospinal fluid (CSF) examinations were included (241 cognitively normal, 347 Aβ-positive cognitively impaired, and 207 Aβ-negative cognitively impaired subjects). A subset of these participants had also available diffusion tensor imaging (DTI) images (n = 195). We investigated cross-sectional associations of FBP retention in the white matter (WM) with MRI-based markers of WM degeneration, AD clinical progression, and fluid biomarkers. In longitudinal analyses, we used linear mixed models to assess whether FBP retention in normal-appearing WM (NAWM) predicted progression of WM hyperintensity (WMH) burden and clinical decline. Results In AD-continuum individuals, FBP retention in NAWM was (1) higher compared with WMH regions, (2) associated with DTI-based measures of WM integrity, and (3) associated with longitudinal progression of WMH burden. FBP uptake in WM decreased across the AD continuum and with increasingly abnormal CSF biomarkers of AD. Furthermore, FBP retention in the WM was associated with large-calibre axon degeneration as reflected by abnormal plasma neurofilament light chain levels. Low FBP uptake in NAWM predicted clinical decline in preclinical and prodromal AD, independent of demographics, global cortical Aβ, and WMH burden. Most of these associations were also observed in Aβ-negative cognitively impaired individuals. Conclusion These results support the hypothesis that FBP retention in the WM is myelin-related. Demyelination levels progressed across the AD continuum and were associated with clinical progression at early stages, suggesting that this pathologic process might be a relevant degenerative feature in the disease course. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05493-y.
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11
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Hilal S, Liu S, Wong TY, Vrooman H, Cheng CY, Venketasubramanian N, Chen CL, Zhou JH. White matter network damage mediates association between cerebrovascular disease and cognition. J Cereb Blood Flow Metab 2021; 41:1858-1872. [PMID: 33530830 PMCID: PMC8327109 DOI: 10.1177/0271678x21990980] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To determine whether white matter network disruption mediates the association between MRI markers of cerebrovascular disease (CeVD) and cognitive impairment. Participants (n = 253, aged ≥60 years) from the Epidemiology of Dementia in Singapore study underwent neuropsychological assessments and MRI. CeVD markers were defined as lacunes, white matter hyperintensities (WMH), microbleeds, cortical microinfarcts, cortical infarcts and intracranial stenosis (ICS). White matter microstructure damage was measured as fractional anisotropy and mean diffusivity by tract based spatial statistics from diffusion tensor imaging. Cognitive function was summarized as domain-specific Z-scores.Lacunar counts, WMH volume and ICS were associated with worse performance in executive function, attention, language, verbal and visual memory. These three CeVD markers were also associated with white matter microstructural damage in the projection, commissural, association, and limbic fibers. Path analyses showed that lacunar counts, higher WMH volume and ICS were associated with executive and verbal memory impairment via white matter disruption in commissural fibers whereas impairment in the attention, visual memory and language were mediated through projection fibers.Our study shows that the abnormalities in white matter connectivity may underlie the relationship between CeVD and cognition. Further longitudinal studies are needed to understand the cause-effect relationship between CeVD, white matter damage and cognition.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Memory Aging & Cognition Centre, National University Health System, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Siwei Liu
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | - Henri Vrooman
- Departments of Radiology & Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | | | - Christopher Lh Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Juan Helen Zhou
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore
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12
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Garnier-Crussard A, Bougacha S, Wirth M, Dautricourt S, Sherif S, Landeau B, Gonneaud J, De Flores R, de la Sayette V, Vivien D, Krolak-Salmon P, Chételat G. White matter hyperintensity topography in Alzheimer's disease and links to cognition. Alzheimers Dement 2021; 18:422-433. [PMID: 34322985 PMCID: PMC9292254 DOI: 10.1002/alz.12410] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 01/18/2023]
Abstract
Introduction White matter hyperintensities (WMH) are often described in Alzheimer's disease (AD), but their topography and specific relationships with cognition remain unclear. Methods Regional WMH were estimated in 54 cognitively impaired amyloid beta–positive AD (Aβpos‐AD), compared to 40 cognitively unimpaired amyloid beta–negative older controls (Aβneg‐controls) matched for vascular risk factors. The cross‐sectional association between regional WMH volume and cognition was assessed within each group, controlling for cerebral amyloid burden, global cortical atrophy, and hippocampal atrophy. Results WMH volume was larger in Aβpos‐AD compared to Aβneg‐controls in all regions, with the greatest changes in the splenium of the corpus callosum (S‐CC). In Aβpos‐AD patients, larger total and regional WMH volume, especially in the S‐CC, was strongly associated with decreased cognition. Discussion WMH specifically contribute to lower cognition in AD, independently from amyloid deposition and atrophy. This study emphasizes the clinical relevance of WMH in AD, especially posterior WMH, and most notably S‐CC WMH.
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Affiliation(s)
- Antoine Garnier-Crussard
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Hospices Civils de Lyon, Lyon, France.,University of Lyon, Lyon, France
| | - Salma Bougacha
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Sophie Dautricourt
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Department of Neurology, CHU de Caen, Caen, France
| | - Siya Sherif
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Brigitte Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Julie Gonneaud
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Robin De Flores
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Vincent de la Sayette
- Department of Neurology, CHU de Caen, Caen, France.,Normandie Univ, UNICAEN, PSL Université, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, NIMH, Caen, France
| | - Denis Vivien
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Department of Clinical Research, CHU de Caen, Caen, France
| | - Pierre Krolak-Salmon
- Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Hospices Civils de Lyon, Lyon, France.,University of Lyon, Lyon, France.,Neuroscience Research Centre of Lyon, INSERM 1048, CNRS 5292, Lyon, France
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
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13
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Kara F, Belloy ME, Voncken R, Sarwari Z, Garima Y, Anckaerts C, Langbeen A, Leysen V, Shah D, Jacobs J, Hamaide J, Bols P, Van Audekerke J, Daans J, Guglielmetti C, Kantarci K, Prevot V, Roßner S, Ponsaerts P, Van der Linden A, Verhoye M. Long-term ovarian hormone deprivation alters functional connectivity, brain neurochemical profile and white matter integrity in the Tg2576 amyloid mouse model of Alzheimer's disease. Neurobiol Aging 2021; 102:139-150. [PMID: 33765427 PMCID: PMC8312737 DOI: 10.1016/j.neurobiolaging.2021.02.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/05/2021] [Accepted: 02/16/2021] [Indexed: 01/18/2023]
Abstract
Premenopausal bilateral ovariectomy is considered to be one of the risk factors of Alzheimer's disease (AD). However, the underlying mechanisms remain unclear. Here, we aimed to investigate long-term neurological consequences of ovariectomy in a rodent AD model, TG2576 (TG), and wild-type mice (WT) that underwent an ovariectomy or sham-operation, using in vivo MRI biomarkers. An increase in osmoregulation and energy metabolism biomarkers in the hypothalamus, a decrease in white matter integrity, and a decrease in the resting-state functional connectivity was observed in ovariectomized TG mice compared to sham-operated TG mice. In addition, we observed an increase in functional connectivity in ovariectomized WT mice compared to sham-operated WT mice. Furthermore, genotype (TG vs. WT) effects on imaging markers and GFAP immunoreactivity levels were observed, but there was no effect of interaction (Genotype × Surgery) on amyloid-beta-and GFAP immunoreactivity levels. Taken together, our results indicated that both genotype and ovariectomy alters imaging biomarkers associated with AD.
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Affiliation(s)
- Firat Kara
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| | - Michael E Belloy
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Rick Voncken
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Zahra Sarwari
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Yadav Garima
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Cynthia Anckaerts
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - An Langbeen
- Veterinary Physiology and Biochemistry, Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Valerie Leysen
- Univ. Lille, Inserm, CHU Lille, Development and Plasticity of the Neuroendocrine Brain, Lille Neurosciences and Cognition, UMR-S1172, DistalZ, Lille, France
| | - Disha Shah
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jules Jacobs
- University of Nijmegen, Nijmegen, the Netherlands
| | - Julie Hamaide
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Peter Bols
- Veterinary Physiology and Biochemistry, Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Johan Van Audekerke
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jasmijn Daans
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute (Vaxinfectio), University of Antwerp, Antwerp, Belgium
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Vincent Prevot
- Univ. Lille, Inserm, CHU Lille, Development and Plasticity of the Neuroendocrine Brain, Lille Neurosciences and Cognition, UMR-S1172, DistalZ, Lille, France
| | - Steffen Roßner
- Paul Flechsig Institute of Brain Research, Leipzig University, Leipzig, Germany
| | - Peter Ponsaerts
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute (Vaxinfectio), University of Antwerp, Antwerp, Belgium
| | - Annemie Van der Linden
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Marleen Verhoye
- Bio-imaging Lab- Member of INMIND consortium, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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14
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Wang Z, Bai L, Liu Q, Wang S, Sun C, Zhang M, Zhang Y. Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis. Ann Clin Transl Neurol 2020; 7:2409-2420. [PMID: 33119959 PMCID: PMC7732249 DOI: 10.1002/acn3.51231] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 09/24/2020] [Accepted: 10/06/2020] [Indexed: 12/29/2022] Open
Abstract
Objective To investigate regional white matter fibers loss in Leukoaraiosis (LA) and its relationship with cognitive impairments. Methods Fifty‐six participants with LA and 38 healthy controls underwent clinical evaluations and MR scans. Participants with LA were classified as cognitively normal (LA‐NC, n = 18), vascular cognitive impairment of none dementia (LA‐VCIND, n = 24), and vascular dementia (LA‐VaD, n = 14) by Mini‐Mental State Examination and Clinical Dementia Rating. Cognitive domains including visual‐spatial, naming, attention, language, abstraction, memory, and orientation were assessed. With the use of Tract‐based spatial statistics, mean fractional anisotropy (FA) of major white matter fiber tracts were compared between LA and controls and among LA groups with varying levels of cognitive impairments. Regression analyses were performed to evaluate relationships between FA values and cognitive performance. Results Participants showed significant FA reduction in the corpus callosum (CC), bilateral corona radiata, anterior limb of the internal capsule, external capsule, posterior thalamic radiation, and superior longitudinal fasciculus compared to controls and across LA groups. The LA‐VaD group showed consistent damage in the body and genu of CC compared to the LA‐NC and LA‐VCIND groups. A positive correlation between visual‐spatial and FA reduction in right anterior corona radiates in LA‐VCIND and body of CC in LA‐ VaD. Interpretation We found regional fiber loss in the CC across the cognitive spectrum in patients with LA and correlations between FA and visuospatial impairment in the anterior corona radiata in patients with LA‐VCIND and in the body of CC in patients with LA‐VaD.
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Affiliation(s)
- Zhuonan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.,Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Qi Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Chuanzhu Sun
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yumei Zhang
- Department of Rehabilitation, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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15
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Mito R, Dhollander T, Xia Y, Raffelt D, Salvado O, Churilov L, Rowe CC, Brodtmann A, Villemagne VL, Connelly A. In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data. Neuroimage Clin 2020; 28:102479. [PMID: 33395971 PMCID: PMC7652769 DOI: 10.1016/j.nicl.2020.102479] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/25/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022]
Abstract
White matter hyperintensities (WMH) are regions of high signal intensity typically identified on fluid attenuated inversion recovery (FLAIR). Although commonly observed in elderly individuals, they are more prevalent in Alzheimer's disease (AD) patients. Given that WMH appear relatively homogeneous on FLAIR, they are commonly partitioned into location- or distance-based classes when investigating their relevance to disease. Since pathology indicates that such lesions are often heterogeneous, probing their microstructure in vivo may provide greater insight than relying on such arbitrary classification schemes. In this study, we investigated WMH in vivo using an advanced diffusion MRI method known as single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD), which models white matter microstructure while accounting for grey matter and CSF compartments. Diffusion MRI data and FLAIR images were obtained from AD (n = 48) and healthy elderly control (n = 94) subjects. WMH were automatically segmented, and classified: (1) as either periventricular or deep; or (2) into three distance-based contours from the ventricles. The 3-tissue profile of WMH enabled their characterisation in terms of white matter-, grey matter-, and fluid-like characteristics of the diffusion signal. Our SS3T-CSD findings revealed substantial heterogeneity in the 3-tissue profile of WMH, both within lesions and across the various classes. Moreover, this heterogeneity information indicated that the use of different commonly used WMH classification schemes can result in different disease-based conclusions. We conclude that future studies of WMH in AD would benefit from inclusion of microstructural information when characterising lesions, which we demonstrate can be performed in vivo using SS3T-CSD.
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Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Ying Xia
- CSIRO, Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Olivier Salvado
- CSIRO, Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, Australia; CSIRO Data61, Sydney, New South Wales, Australia
| | - Leonid Churilov
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia
| | - Christopher C Rowe
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Eastern Clinical Research Unit, Monash University, Box Hill Hospital, Melbourne, Victoria, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
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16
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Associations of physical activity and screen time with white matter microstructure in children from the general population. Neuroimage 2019; 205:116258. [PMID: 31605827 DOI: 10.1016/j.neuroimage.2019.116258] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 10/01/2019] [Accepted: 10/07/2019] [Indexed: 01/06/2023] Open
Abstract
Physical activity and sedentary behaviors have been linked to a variety of general health benefits and problems. However, few studies have examined how physical activity during childhood is related to brain development, with the majority of work to date focusing on cardio-metabolic health. This study examines the association between physical activity and screen time with white matter microstructure in the general pediatric population. In a sample of 2532 children (10.12 ± 0.58 years; 50.04% boys) from the Generation R Study, a population-based cohort in Rotterdam, the Netherlands, we assessed physical activity and screen time using parent-reported questionnaires. Magnetic resonance imaging of white matter microstructure was conducted using diffusion tensor imaging. Total physical activity was positively associated with global fractional anisotropy (β = 0.057, 95% CI = 0.016, 0.098, p = 0.007) and negatively associated with global mean diffusivity (β = -0.079, 95% CI = -0.120, -0.038, p < 0.001), two commonly derived scalar measures of white matter microstructure. Two components of total physical activity, outdoor play and sport participation, were positively associated with global fractional anisotropy (β = 0.041, 95% CI=(0.000, 0.083), p = 0.047; β = 0.053, 95% CI=(0.010, 0.096), p = 0.015, respectively) and inversely associated with global mean diffusivity (β = -0.074, 95% CI= (-0.114, -0.033), p < 0.001; β = -0.043, 95% CI=(-0.086, 0.000), p = 0.049, respectively). No associations were observed between screen time and white matter microstructure (p > 0.05). This study provides new evidence that physical activity is modestly associated with white matter microstructure in children. In contrast, complementing other recent evidence on cognition, screen time was not associated with white matter microstructure. Causal inferences from these modest associations must be interpreted cautiously in the absence of longitudinal data. However, these data still offer a promising avenue for future work to explore to what extent physical activity may promote healthy white matter development.
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17
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Alosco ML, Sugarman MA, Besser LM, Tripodis Y, Martin B, Palmisano JN, Kowall NW, Au R, Mez J, DeCarli C, Stein TD, McKee AC, Killiany RJ, Stern RA. A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis 2019; 63:1347-1360. [PMID: 29843242 DOI: 10.3233/jad-180017] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND White matter hyperintensities (WMH) on magnetic resonance imaging (MRI) have been postulated to be a core feature of Alzheimer's disease. Clinicopathological studies are needed to elucidate and confirm this possibility. OBJECTIVE This study examined: 1) the association between antemortem WMH and autopsy-confirmed Alzheimer's disease neuropathology (ADNP), 2) the relationship between WMH and dementia in participants with ADNP, and 3) the relationships among cerebrovascular disease, WMH, and ADNP. METHODS The sample included 82 participants from the National Alzheimer's Coordinating Center's Data Sets who had quantitated volume of WMH from antemortem FLAIR MRI and available neuropathological data. The Clinical Dementia Rating (CDR) scale (from MRI visit) operationalized dementia status. ADNP+ was defined by moderate to frequent neuritic plaques and Braak stage III-VI at autopsy. Cerebrovascular disease neuropathology included infarcts or lacunes, microinfarcts, arteriolosclerosis, atherosclerosis, and cerebral amyloid angiopathy. RESULTS 60/82 participants were ADNP+. Greater volume of WMH predicted increased odds for ADNP (p = 0.037). In ADNP+ participants, greater WMH corresponded with increased odds for dementia (CDR≥1; p = 0.038). WMH predicted cerebral amyloid angiopathy, microinfarcts, infarcts, and lacunes (ps < 0.04). ADNP+ participants were more likely to have moderate-severe arteriolosclerosis and cerebral amyloid angiopathy compared to ADNP-participants (ps < 0.04). CONCLUSIONS This study found a direct association between total volume of WMH and increased odds for having ADNP. In patients with Alzheimer's disease, FLAIR MRI WMH may be able to provide key insight into disease severity and progression. The association between WMH and ADNP may be explained by underlying cerebrovascular disease.
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Affiliation(s)
- Michael L Alosco
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Michael A Sugarman
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Neuropsychology, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA
| | - Lilah M Besser
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N Palmisano
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.,Neurology Service, VA Boston Healthcare System, Boston, MA, USA
| | - Rhoda Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA, USA.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis Health System, Sacramento, CA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.,U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, USA.,Department of Veterans Affairs Medical Center, Bedford, MA, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.,U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, USA.,Department of Veterans Affairs Medical Center, Bedford, MA, USA
| | - Ronald J Killiany
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Center for Biomedical Imaging, Boston University School of Medicine, Boston, MA, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Department of Neurosurgery, Boston University School of Medicine, Boston, MA, USA
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18
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Altermatt A, Gaetano L, Magon S, Bauer L, Feurer R, Gnahn H, Hartmann J, Seifert CL, Poppert H, Wuerfel J, Radue EW, Kappos L, Sprenger T. Clinical associations of T2-weighted lesion load and lesion location in small vessel disease: Insights from a large prospective cohort study. Neuroimage 2019; 189:727-733. [DOI: 10.1016/j.neuroimage.2019.01.052] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/14/2019] [Accepted: 01/19/2019] [Indexed: 11/28/2022] Open
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19
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Seiler S, Fletcher E, Hassan-Ali K, Weinstein M, Beiser A, Himali JJ, Satizabal CL, Seshadri S, DeCarli C, Maillard P. Cerebral tract integrity relates to white matter hyperintensities, cortex volume, and cognition. Neurobiol Aging 2018; 72:14-22. [PMID: 30172922 PMCID: PMC6242702 DOI: 10.1016/j.neurobiolaging.2018.08.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 07/19/2018] [Accepted: 08/03/2018] [Indexed: 01/09/2023]
Abstract
We examined the relationship among white matter (WM) tract integrity, WM hyperintensities (WMH), lobar gray matter (GM) volumes, and cognition in the cross-sectional Framingham Offspring Study. Six hundred eighty participants (71.7 ± 7.7 years) completed cognitive testing and magnetic resonance imaging. Diffusion tensor imaging probabilistic tractography was used to reconstruct major WM tracts. We computed tract-specific mean fractional anisotropy (FA) and tract-specific WMH ratio. Linear regressions identified relations between tracts and lobar GM volumes. Partial least squares regression examined associations between integrity of combined tracts, lobar GM volumes and cognition, including scores of memory and processing speed. Five tracts were particularly vulnerable to WMH, and tract-specific WMH volumes were inversely associated with tract-specific FA (p values < 0.05). Tract-specific FA related to lobar GM volumes. Memory was associated with lobar GM, while processing speed related to both tract integrity and lobar GM volumes. We conclude that subtle microstructural WM tract degeneration relates to specific lobar GM atrophy. The integrity of associated WM tracts and GM lobes differentially impacts memory and processing speed.
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Affiliation(s)
- Stephan Seiler
- Department of Neurology, Center for Neurosciences, University of California at Davis, Davis, CA, USA; Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis, Davis, CA, USA; Department of Neurology, Medical University Graz, Graz, Austria.
| | - Evan Fletcher
- Department of Neurology, Center for Neurosciences, University of California at Davis, Davis, CA, USA; Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis, Davis, CA, USA
| | - Kinsy Hassan-Ali
- Department of Neurology, Center for Neurosciences, University of California at Davis, Davis, CA, USA; Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis, Davis, CA, USA
| | - Michelle Weinstein
- Department of Neurology, Center for Neurosciences, University of California at Davis, Davis, CA, USA; Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis, Davis, CA, USA
| | - Alexa Beiser
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jayandra J Himali
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Claudia L Satizabal
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Charles DeCarli
- Department of Neurology, Center for Neurosciences, University of California at Davis, Davis, CA, USA; Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis, Davis, CA, USA
| | - Pauline Maillard
- Department of Neurology, Center for Neurosciences, University of California at Davis, Davis, CA, USA; Imaging of Dementia and Aging (IDeA) Laboratory, University of California at Davis, Davis, CA, USA
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20
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Echouffo-Tcheugui JB, Conner SC, Himali JJ, Maillard P, DeCarli CS, Beiser AS, Vasan RS, Seshadri S. Circulating cortisol and cognitive and structural brain measures: The Framingham Heart Study. Neurology 2018; 91:e1961-e1970. [PMID: 30355700 DOI: 10.1212/wnl.0000000000006549] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 08/10/2018] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE To assess the association of early morning serum cortisol with cognitive performance and brain structural integrity in community-dwelling young and middle-aged adults without dementia. METHODS We evaluated dementia-free Framingham Heart Study (generation 3) participants (mean age 48.5 years, 46.8% men) who underwent cognitive testing for memory, abstract reasoning, visual perception, attention, and executive function (n = 2,231) and brain MRI (n = 2018) to assess total white matter, lobar gray matter, and white matter hyperintensity volumes and fractional anisotropy (FA) measures. We used linear and logistic regression to assess the relations of cortisol (categorized in tertiles, with the middle tertile as referent) to measures of cognition, MRI volumes, presence of covert brain infarcts and cerebral microbleeds, and voxel-based microstructural white matter integrity and gray matter density, adjusting for age, sex, APOE, and vascular risk factors. RESULTS Higher cortisol (highest tertile vs middle tertile) was associated with worse memory and visual perception, as well as lower total cerebral brain and occipital and frontal lobar gray matter volumes. Higher cortisol was associated with multiple areas of microstructural changes (decreased regional FA), especially in the splenium of corpus callosum and the posterior corona radiata. The association of cortisol with total cerebral brain volume varied by sex (p for interaction = 0.048); higher cortisol was inversely associated with cerebral brain volume in women (p = 0.001) but not in men (p = 0.717). There was no effect modification by the APOE4 genotype of the relations of cortisol and cognition or imaging traits. CONCLUSION Higher serum cortisol was associated with lower brain volumes and impaired memory in asymptomatic younger to middle-aged adults, with the association being evident particularly in women.
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Affiliation(s)
- Justin B Echouffo-Tcheugui
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio.
| | - Sarah C Conner
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
| | - Jayandra J Himali
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
| | - Pauline Maillard
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
| | - Charles S DeCarli
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
| | - Alexa S Beiser
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
| | - Ramachandran S Vasan
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
| | - Sudha Seshadri
- From the Division of Endocrinology, Diabetes and Hypertension (J.B.E.-T.), Brigham and Women's Hospital/Harvard Medical School, Boston; National Heart, Lung, and Blood Institute (J.B.E.-T., S.C.C., J.J.H., A.S.B., R.S.V., S.S.), Framingham Heart Study, MA; Department of Neurology (S.C.C., J.J.H., A.S.B., S.S.) and Sections of Preventive Medicine and Epidemiology (R.S.V.) and Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine; Departments of Biostatistics (J.J.H., A.S.B.) and Epidemiology (R.S.V.), Boston University School of Public Health, MA; Department of Neurology (P.M., C.S.D.), University of California, Davis, Sacramento; and Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases (S.S.), University of Texas Health Sciences Center, San Antonio
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21
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Blamire AM. MR approaches in neurodegenerative disorders. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2018; 108:1-16. [PMID: 30538047 DOI: 10.1016/j.pnmrs.2018.11.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 10/22/2018] [Accepted: 11/01/2018] [Indexed: 06/09/2023]
Abstract
Neurodegenerative disease is the umbrella term which refers to a range of clinical conditions causing degeneration of neurons within the central nervous system leading to loss of brain function and eventual death. The most prevalent of these is Alzheimer's disease (AD), which affects approximately 50 million people worldwide and is predicted to reach 75 million by 2030. Neurodegenerative diseases can only be fully diagnosed at post mortem by neuropathological assessment of the type and distribution of protein deposits which characterise each different condition, but there is a clear role for imaging technologies in aiding patient diagnoses in life. Magnetic resonance imaging (MRI) and spectroscopy (MRS) techniques have been applied to study these conditions for many years. In this review, we consider the range of MR-based measurements and describe the findings in AD, but also contrast these with the second most common dementia, dementia with Lewy bodies (DLB). The most definitive observation is the major structural brain changes seen in AD using conventional T1-weighted (T1w) MRI, where medial temporal lobe structures are notably atrophied in most symptomatic patients with AD, but often preserved in DLB. Indeed these findings are sufficiently robust to have been incorporated into clinical diagnostic criteria. Diffusion tensor imaging (DTI) reveals widespread changes in tissue microstructure, with increased mean diffusivity and decreased fractional anisotropy reflecting the degeneration of the white matter structures. There are suggestions that there are subtle differences between AD and DLB populations. At the metabolic level, atrophy-corrected MRS demonstrates reduced density of healthy neurons in brain areas with altered perfusion and in regions known to show higher deposits of pathogenic proteins. As studies have moved from patients with advanced disease and clear dysfunction to patients with earlier presentation such as with mild cognitive impairment (MCI), which in some represents the first signs of their ensuing dementia, the ability of MRI to detect differences has been weaker and further work is still required, ideally in much larger cohorts than previously studied. The vast majority of imaging research in dementia populations has been univariate with respect to the MR-derived parameters considered. To date, none of these measurements has uniquely replicated the patterns of tissue involvement seen by neuropathology, and the ability of MR techniques to deliver a non-invasive diagnosis eludes us. Future opportunities may lie in combining MR and nuclear medicine approaches (position emission tomography, PET) to provide a more complete view of structural and metabolic changes. Such developments will require multi-variate analyses, possibly combined with artificial intelligence or deep learning algorithms, to enhance our ability to combine the array of image-derived information, genetic, gender and lifestyle factors.
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Affiliation(s)
- Andrew M Blamire
- Institute of Cellular Medicine and Centre for In Vivo Imaging, Newcastle University, UK.
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22
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Sun J, Zhou H, Bai F, Zhang Z, Ren Q. Remyelination: A Potential Therapeutic Strategy for Alzheimer's Disease? J Alzheimers Dis 2018; 58:597-612. [PMID: 28453483 DOI: 10.3233/jad-170036] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Myelin is a lipid-rich multilamellar membrane that wraps around long segments of neuronal axons and it increases the conduction of action potentials, transports the necessary trophic support to the neuronal axons, and reduces the energy consumed by the neuronal axons. Together with axons, myelin is a prerequisite for the higher functions of the central nervous system and complex forms of network integration. Myelin impairments have been suggested to lead to neuronal dysfunction and cognitive decline. Accumulating evidence, including brain imaging and postmortem and genetic association studies, has implicated myelin impairments in Alzheimer's disease (AD). Increasing data link myelin impairments with amyloid-β (Aβ) plaques and tau hyperphosphorylation, which are both present in patients with AD. Moreover, aging and apolipoprotein E (ApoE) may be involved in the myelin impairments observed in patients with AD. Decreased neuronal activity, increased Aβ levels, and inflammation further damage myelin in patients with AD. Furthermore, treatments that promote myelination contribute to the recovery of neuronal function and improve cognition. Therefore, strategies targeting myelin impairment may provide therapeutic opportunities for patients with AD.
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23
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Wu D, Tang X, Gu LH, Li XL, Qi XY, Bai F, Chen XC, Wang JZ, Ren QG, Zhang ZJ. LINGO-1 antibody ameliorates myelin impairment and spatial memory deficits in the early stage of 5XFAD mice. CNS Neurosci Ther 2018; 24:381-393. [PMID: 29427384 DOI: 10.1111/cns.12809] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Revised: 12/03/2017] [Accepted: 01/03/2018] [Indexed: 12/14/2022] Open
Abstract
AIMS Multiple evidence has indicated that myelin injury is common in Alzheimer's disease (AD). However, whether myelin injury is an early event in AD and the relationship between it and cognitive function is still elusive. METHODS Spatial memory of 5XFAD mice was determined by Morris water maze at 1 and 3 months old. Meanwhile, the deposition of Aβ, the expression of myelin basic protein (MBP), LINGO-1, NgR, and myelin ultrastructure in many memory-associated brain regions were detected in one-month-old and three-month-old mice (before and after LINGO-1 antibody administration) using immunostaining, Western blot (WB), and transmission electron microscopy (TEM), respectively. RESULTS No abnormal Aβ deposition was found in one-month-old 5XFAD mice. However, spatial memory deficits were proved in accordance with an obvious demyelination in memory-associated brain regions in one-month-old mice and both deteriorated with age. Administration of LINGO-1 antibody could obviously restore the myelin impairments in CA1 and DG region and partially ameliorate spatial memory deficits. CONCLUSIONS Our results demonstrated that myelin injury was an early event in 5XFAD mice even prior to emergence of deposition of Aβ. Intervention with the LINGO-1 antibody could attenuate impaired spatial memory deficits by remyelination, which suggested that myelin injury was involved in spatial memory deficits and remyelination may be a potential therapeutic strategy in early stage of AD or mild cognitive impairments.
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Affiliation(s)
- Di Wu
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Xiang Tang
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Li-Hua Gu
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Xiao-Li Li
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Xin-Yang Qi
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Feng Bai
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Xiao-Chun Chen
- Department of Neurology and Geriatrics, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jian-Zhi Wang
- Pathophysiology Department, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qing-Guo Ren
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, Neuropsychiatric Institute, School of Medicine, Southeast University, Nanjing, China
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24
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Resende EDPF, Tovar-Moll FF, Ferreira FM, Bramati I, de Souza LC, Carmona KC, Guimarães HC, Carvalho VA, Barbosa MT, Caramelli P. Integrity of white matter structure is related to episodic memory performance in the low-educated elderly. ARQUIVOS DE NEURO-PSIQUIATRIA 2018; 75:778-784. [PMID: 29236820 DOI: 10.1590/0004-282x20170158] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 08/11/2017] [Indexed: 11/22/2022]
Abstract
The low-educated elderly are a vulnerable population in whom studying the role of white matter integrity on memory may provide insights for understanding how memory declines with aging and disease. METHODS Thirty-one participants (22 women), 23 cognitively healthy and eight with cognitive impairment-no dementia, aged 80.4 ± 3.8 years, with 2.2 ± 1.9 years of education, underwent an MRI scan with diffusion tensor imaging (DTI) acquisition. We verified if there were correlations between the performance on the Brief Cognitive Screening Battery (BCSB) and the Rey Auditory Verbal Learning Test (RAVLT) with DTI parameters. RESULTS The BCSB delayed recall task correlated with frontotemporoparietal connection bundles, with the hippocampal part of the cingulum bilaterally and with the right superior longitudinal fasciculus. The RAVLT learning and delayed recall scores also correlated with the hippocampal part of the cingulum bilaterally. CONCLUSIONS Although preliminary, our study suggests that the integrity of white matter frontotemporoparietal fasciculi seems to play a role in episodic memory performance in the low-educated elderly. This finding opens opportunities to study potential targets for memory decline prevention in vulnerable populations.
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Affiliation(s)
- Elisa de Paula França Resende
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
| | | | | | - Ivanei Bramati
- IDOR - Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro RJ, Brasil
| | - Leonardo Cruz de Souza
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
| | - Karoline Carvalho Carmona
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
| | - Henrique Cerqueira Guimarães
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
| | - Viviane Amaral Carvalho
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
| | - Maira Tonidandel Barbosa
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
| | - Paulo Caramelli
- Universidade Federal de Minas Gerais, Faculdade de Medicina da Belo Horizonte, Departamento de Clínica Médica, Grupo de Pesquisa em Neurologia Cognitiva e do Comportamento, Belo Horizonte MG, Brasil
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Custodio N, Montesinos R, Lira D, Herrera-Pérez E, Bardales Y, Valeriano-Lorenzo L. Mixed dementia: A review of the evidence. Dement Neuropsychol 2017; 11:364-370. [PMID: 29354216 PMCID: PMC5769994 DOI: 10.1590/1980-57642016dn11-040005] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Mixed dementia is the coexistence of Alzheimer's disease and cerebrovascular disease (CVD) in the same demented patient. Currently, its diagnosis and treatment remains a challenge for practitioners. To provide an overview of the epidemiology, pathogenesis, natural history, diagnosis, and therapy of Mixed Vascular-Alzheimer Dementia (MVAD). The literature was reviewed for articles published between 1990-2016 by using the keywords linked to MVAD. Neuropathological studies indicate that MVAD is a very common pathological finding in the elderly with a prevalence about of 22%. The distinction between Alzheimer's dementia and vascular dementia (VD) is complex because their clinical presentation can overlap. There are international criteria for the MVAD diagnosis. The pharmacologic therapy shows modest clinical benefits that are similar among all drugs used in patients with Alzheimer's dementia and VD. The non-pharmacologic therapy includes the rigorous management of cardiovascular risk factors (especially hypertension) and the promotion of a healthy diet. The diagnosis and treatment of MVAD cannot be improved without further studies. Currently available medications provide only modest clinical benefits once a patient has developed MVAD. In subjects at risk, the antihypertensive therapy and healthy diet should be recommend for preventing or slowing the progression of MVAD.
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Affiliation(s)
- Nilton Custodio
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia. Instituto Peruano de Neurociencias. Lima, Perú.,Servicio de Neurología. Instituto Peruano de Neurociencias. Lima, Perú
| | - Rosa Montesinos
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia. Instituto Peruano de Neurociencias. Lima, Perú.,Servicio de Medicina de Rehabilitación. Instituto Peruano de Neurociencias. Lima, Perú
| | - David Lira
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia. Instituto Peruano de Neurociencias. Lima, Perú.,Servicio de Neurología. Instituto Peruano de Neurociencias. Lima, Perú
| | - Eder Herrera-Pérez
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia. Instituto Peruano de Neurociencias. Lima, Perú.,Unidad de Diseño y Elaboración de Proyectos de Investigación. Instituto Nacional de Salud del Niño. Lima, Perú.,GESID. Lima, Peru
| | - Yadira Bardales
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia. Instituto Peruano de Neurociencias. Lima, Perú.,Unidad de Geriatría. Instituto Peruano de neurociencias. Lima, Perú
| | - Lucía Valeriano-Lorenzo
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención de Demencia. Instituto Peruano de Neurociencias. Lima, Perú.,Unidad de Neuropsicología. Instituto Peruano de Neurociencias. Lima. Perú
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26
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Yano Y, Reis JP, Levine DA, Bryan RN, Viera AJ, Shimbo D, Tedla YG, Allen NB, Schreiner PJ, Bancks MP, Sidney S, Pletcher MJ, Liu K, Greenland P, Lloyd-Jones DM, Launer LJ. Visit-to-Visit Blood Pressure Variability in Young Adulthood and Hippocampal Volume and Integrity at Middle Age: The CARDIA Study (Coronary Artery Risk Development in Young Adults). Hypertension 2017; 70:1091-1098. [PMID: 28993449 PMCID: PMC5680098 DOI: 10.1161/hypertensionaha.117.10144] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 09/15/2017] [Accepted: 09/16/2017] [Indexed: 01/15/2023]
Abstract
The aims of this study are to assess the relationships of visit-to-visit blood pressure (BP) variability in young adulthood to hippocampal volume and integrity at middle age. We used data over 8 examinations spanning 25 years collected in the CARDIA study (Coronary Artery Risk Development in Young Adults) of black and white adults (age, 18-30 years) started in 1985 to 1986. Visit-to-visit BP variability was defined as by SDBP and average real variability (ARVBP, defined as the absolute differences of BP between successive BP measurements). Hippocampal tissue volume standardized by intracranial volume (%) and integrity assessed by fractional anisotropy were measured by 3-Tesla magnetic resonance imaging at the year-25 examination (n=545; mean age, 51 years; 54% women and 34% African Americans). Mean systolic BP (SBP)/diastolic BP levels were 110/69 mm Hg at year 0 (baseline), 117/73 mm Hg at year 25, and ARVSBP and SDSBP were 7.7 and 7.9 mm Hg, respectively. In multivariable-adjusted linear models, higher ARVSBP was associated with lower hippocampal volume (unstandardized regression coefficient [standard error] with 1-SD higher ARVSBP: -0.006 [0.003]), and higher SDSBP with lower hippocampal fractional anisotropy (-0.02 [0.01]; all P<0.05), independent of cumulative exposure to SBP during follow-up. Conversely, cumulative exposure to SBP and diastolic BP was not associated with hippocampal volume. There was no interaction by sex or race between ARVSBP or SDSBP with hippocampal volume or integrity. In conclusion, visit-to-visit BP variability during young adulthood may be useful in assessing the potential risk for reductions in hippocampal volume and integrity in midlife.
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Affiliation(s)
- Yuichiro Yano
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.).
| | - Jared P Reis
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Deborah A Levine
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - R Nick Bryan
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Anthony J Viera
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Daichi Shimbo
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Yacob G Tedla
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Norrina B Allen
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Pamela J Schreiner
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Michael P Bancks
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Stephen Sidney
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Mark J Pletcher
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Kiang Liu
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Philip Greenland
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Donald M Lloyd-Jones
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
| | - Lenore J Launer
- From the Department of Preventive Medicine, University of Mississippi Medical Center, Jackson (Y.Y.); Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (Y.Y., Y.G.T., N.B.A., M.P.B., K.L., P.G., D.M.L.-J.); Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.P.R.); Division of General Medicine, University of Michigan, Ann Arbor (D.A.L.); Department of Radiology, University of Pennsylvania Health System, Philadelphia (R.N.B.); Department of Family Medicine, Hypertension Research Program, University of North Carolina at Chapel Hill (A.J.V.); Department of Medicine, Columbia University Medical Center, New York, NY (D.S.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (P.J.S.); Division of Research, Kaiser Permanente of Northern California, Oakland (S.S.); Department of Epidemiology and Biostatistics, University of California, San Francisco (M.J.P.); and Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD (L.J.L.)
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27
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Staffaroni AM, Elahi FM, McDermott D, Marton K, Karageorgiou E, Sacco S, Paoletti M, Caverzasi E, Hess CP, Rosen HJ, Geschwind MD. Neuroimaging in Dementia. Semin Neurol 2017; 37:510-537. [PMID: 29207412 PMCID: PMC5823524 DOI: 10.1055/s-0037-1608808] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Although the diagnosis of dementia still is primarily based on clinical criteria, neuroimaging is playing an increasingly important role. This is in large part due to advances in techniques that can assist with discriminating between different syndromes. Magnetic resonance imaging remains at the core of differential diagnosis, with specific patterns of cortical and subcortical changes having diagnostic significance. Recent developments in molecular PET imaging techniques have opened the door for not only antemortem but early, even preclinical, diagnosis of underlying pathology. This is vital, as treatment trials are underway for pharmacological agents with specific molecular targets, and numerous failed trials suggest that earlier treatment is needed. This article provides an overview of classic neuroimaging findings as well as new and cutting-edge research techniques that assist with clinical diagnosis of a range of dementia syndromes, with an emphasis on studies using pathologically proven cases.
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Affiliation(s)
- Adam M. Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Fanny M. Elahi
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Dana McDermott
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Kacey Marton
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Elissaios Karageorgiou
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Neurological Institute of Athens, Athens, Greece
| | - Simone Sacco
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Institute of Radiology, Department of Clinical Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Matteo Paoletti
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Institute of Radiology, Department of Clinical Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Eduardo Caverzasi
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Christopher P. Hess
- Division of Neuroradiology, Department of Radiology, University of California, San Francisco (UCSF), California
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Michael D. Geschwind
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
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28
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Kantarci K, Murray ME, Schwarz CG, Reid RI, Przybelski SA, Lesnick T, Zuk SM, Raman MR, Senjem ML, Gunter JL, Boeve BF, Knopman DS, Parisi JE, Petersen RC, Jack CR, Dickson DW. White-matter integrity on DTI and the pathologic staging of Alzheimer's disease. Neurobiol Aging 2017; 56:172-179. [PMID: 28552181 DOI: 10.1016/j.neurobiolaging.2017.04.024] [Citation(s) in RCA: 141] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 04/07/2017] [Accepted: 04/25/2017] [Indexed: 11/16/2022]
Abstract
Pattern of diffusion tensor MRI (DTI) alterations were investigated in pathologically-staged Alzheimer's disease (AD) patients (n = 46). Patients with antemortem DTI studies and a range of AD pathology at autopsy were included. Patients with a high neurofibrillary tangle (NFT) stage (Braak IV-VI) had significantly elevated mean diffusivity (MD) in the crus of fornix and ventral cingulum tracts, precuneus, and entorhinal white matter on voxel-based analysis after adjusting for age and time from MRI to death (p < 0.001). Higher MD and lower fractional anisotropy in the ventral cingulum tract, entorhinal, and precuneus white matter was associated with higher Braak NFT stage and clinical disease severity. There were no MD and fractional anisotropy differences among the low (none and sparse) and high (moderate and frequent) β-amyloid neuritic plaque groups. The NFT pathology of AD is associated with DTI alterations involving the medial temporal limbic connections and medial parietal white matter. This pattern of diffusion abnormalities is also associated with clinical disease severity.
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Affiliation(s)
- Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
| | - Melissa E Murray
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Jacksonville, FL, USA
| | | | - Robert I Reid
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | - Timothy Lesnick
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Samantha M Zuk
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Mekala R Raman
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Matthew L Senjem
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Jeffrey L Gunter
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Joseph E Parisi
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Dennis W Dickson
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Jacksonville, FL, USA
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29
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Kalheim LF, Bjørnerud A, Fladby T, Vegge K, Selnes P. White matter hyperintensity microstructure in amyloid dysmetabolism. J Cereb Blood Flow Metab 2017; 37:356-365. [PMID: 26792028 PMCID: PMC5363752 DOI: 10.1177/0271678x15627465] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 12/10/2015] [Accepted: 12/14/2015] [Indexed: 01/27/2023]
Abstract
Accumulating evidence suggests associations between cerebrovascular disease (CVD) and Alzheimer's disease (AD). White matter hyperintensities of presumed vascular origin (WMHs) are increased in subjects with mild cognitive impairment (MCI) and AD, but the exact pathomechanistic link is unknown. The current study investigated effects of amyloid dysmetabolism on the microstructure of WMHs in subjects with MCI or subjective cognitive decline (N = 51), dichotomized according to pathological or normal levels of amyloid-β peptide (Aβ42) in cerebrospinal fluid (CSF). Thirty-one subjects with low CSF Aβ42 (Aβ+) and 20 subjects with normal CSF Aβ42 (Aβ-) were assessed with magnetic resonance diffusion tensor imaging (DTI), and fractional anisotropy (FA), radial diffusivity (DR), axial diffusivity (DA), and mean diffusivity (MD) were determined. There were no significant differences in WMH volume or distribution between the groups, and neither age nor WMH volume had significant impact on the DTI indices. Nevertheless, there were significantly higher DA, DR, and MD in WMHs in Aβ+ relative to Aβ-; however, no differences in FA were found. The present results suggest that amyloid accumulation is associated with impaired structural integrity (e.g. relating to more extensive demyelination and loss of axons) in WMHs putatively adding to effects of ischemia.
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Affiliation(s)
- Lisa F Kalheim
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Atle Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Kjetil Vegge
- Department of Radiology, Akershus University Hospital, Lørenskog, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
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30
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Mohammadian M, Roine T, Hirvonen J, Kurki T, Ala-Seppälä H, Frantzén J, Katila A, Kyllönen A, Maanpää HR, Posti J, Takala R, Tallus J, Tenovuo O. High angular resolution diffusion-weighted imaging in mild traumatic brain injury. Neuroimage Clin 2016; 13:174-180. [PMID: 27981032 PMCID: PMC5144744 DOI: 10.1016/j.nicl.2016.11.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 10/24/2016] [Accepted: 11/16/2016] [Indexed: 01/19/2023]
Abstract
We sought to investigate white matter abnormalities in mild traumatic brain injury (mTBI) using diffusion-weighted magnetic resonance imaging (DW-MRI). We applied a global approach based on tract-based spatial statistics skeleton as well as constrained spherical deconvolution tractography. DW-MRI was performed on 102 patients with mTBI within two months post-injury and 30 control subjects. A robust global approach considering only the voxels with a single-fiber configuration was used in addition to global analysis of the tract skeleton and probabilistic whole-brain tractography. In addition, we assessed whether the microstructural parameters correlated with age, time from injury, patient's outcome and white matter MRI hyperintensities. We found that whole-brain global approach restricted to single-fiber voxels showed significantly decreased fractional anisotropy (FA) (p = 0.002) and increased radial diffusivity (p = 0.011) in patients with mTBI compared with controls. The results restricted to single-fiber voxels were more significant and reproducible than those with the complete tract skeleton or the whole-brain tractography. FA correlated with patient outcomes, white matter hyperintensities and age. No correlation was observed between FA and time of scan post-injury. In conclusion, the global approach could be a promising imaging biomarker to detect white matter abnormalities following traumatic brain injury.
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Key Words
- AD, axial diffusivity
- CSD, constrained-spherical deconvolution
- DAI, diffuse axonal injury
- DTI, diffusion tensor imaging
- DW-MRI, diffusion-weighted magnetic resonance imaging
- Diffusion-weighted magnetic resonance imaging
- FA, fractional anisotropy
- GCS, Glasgow Coma Scale
- GOSe, Glasgow Outcome Scale extended
- Global approach
- HARDI, high angular resolution diffusion imaging
- MD, mean diffusivity
- Magnetic resonance imaging
- PTA, post-traumatic amnesia
- Probabilistic tractography
- RD, radial diffusivity
- TBI, traumatic brain injury
- TBSS, tract-based spatial statistics
- Traumatic brain injury
- mTBI, mild traumatic brain injury
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Affiliation(s)
- Mehrbod Mohammadian
- Department of Neurology, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland
| | - Timo Roine
- iMinds-Vision lab, Department of Physics, University of Antwerp, Antwerp, Belgium
| | - Jussi Hirvonen
- Department of Neurology, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Timo Kurki
- Department of Neurology, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland
- Department of Radiology, Turku University Hospital, Turku, Finland
| | | | - Janek Frantzén
- Department of Neurology, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital, Turku, Finland
| | - Ari Katila
- Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland
| | - Anna Kyllönen
- Department of Neurology, University of Turku, Turku, Finland
| | | | - Jussi Posti
- Department of Neurology, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland
- Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital, Turku, Finland
| | - Riikka Takala
- Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland
| | - Jussi Tallus
- Department of Neurology, University of Turku, Turku, Finland
| | - Olli Tenovuo
- Department of Neurology, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland
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McAleese KE, Alafuzoff I, Charidimou A, De Reuck J, Grinberg LT, Hainsworth AH, Hortobagyi T, Ince P, Jellinger K, Gao J, Kalaria RN, Kovacs GG, Kövari E, Love S, Popovic M, Skrobot O, Taipa R, Thal DR, Werring D, Wharton SB, Attems J. Post-mortem assessment in vascular dementia: advances and aspirations. BMC Med 2016; 14:129. [PMID: 27600683 PMCID: PMC5011905 DOI: 10.1186/s12916-016-0676-5] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Accepted: 08/19/2016] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Cerebrovascular lesions are a frequent finding in the elderly population. However, the impact of these lesions on cognitive performance, the prevalence of vascular dementia, and the pathophysiology behind characteristic in vivo imaging findings are subject to controversy. Moreover, there are no standardised criteria for the neuropathological assessment of cerebrovascular disease or its related lesions in human post-mortem brains, and conventional histological techniques may indeed be insufficient to fully reflect the consequences of cerebrovascular disease. DISCUSSION Here, we review and discuss both the neuropathological and in vivo imaging characteristics of cerebrovascular disease, prevalence rates of vascular dementia, and clinico-pathological correlations. We also discuss the frequent comorbidity of cerebrovascular pathology and Alzheimer's disease pathology, as well as the difficult and controversial issue of clinically differentiating between Alzheimer's disease, vascular dementia and mixed Alzheimer's disease/vascular dementia. Finally, we consider additional novel approaches to complement and enhance current post-mortem assessment of cerebral human tissue. CONCLUSION Elucidation of the pathophysiology of cerebrovascular disease, clarification of characteristic findings of in vivo imaging and knowledge about the impact of combined pathologies are needed to improve the diagnostic accuracy of clinical diagnoses.
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Affiliation(s)
- Kirsty E McAleese
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Irina Alafuzoff
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Andreas Charidimou
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA
| | | | - Lea T Grinberg
- Departments of neurology and Pathology, University of California, San Francisco, USA.,Department of Pathology - LIM-22, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Atticus H Hainsworth
- Institute of Cardiovascular and Cell Sciences, St George's University of London, London, UK
| | - Tibor Hortobagyi
- Department of Neuropathology, University of Debrecen, Debrecen, Hungary
| | - Paul Ince
- Sheffield Institute for Translational Neuroscience, Sheffield, UK
| | | | - Jing Gao
- Neurological Department, Peking Union Medical College Hospital, Beijing, China
| | - Raj N Kalaria
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Gabor G Kovacs
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - Enikö Kövari
- Department of Mental Health and Psychiatry, University of Geneva, Geneva, Switzerland
| | - Seth Love
- Clincial Neurosciences, University of Bristol, Bristol, UK
| | - Mara Popovic
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Olivia Skrobot
- Clincial Neurosciences, University of Bristol, Bristol, UK
| | - Ricardo Taipa
- Unit of Neuropathology, Centro Hospitalar do Porto, University of Porto, Porto, Portugal
| | - Dietmar R Thal
- Department of Neuroscience, KU-Leuven and Department of Pathology, UZ-Leuven, Leuven, Belgium
| | - David Werring
- Institute of Neurology, University College London, London, UK
| | | | - Johannes Attems
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
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32
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Cerebral amyloid is associated with greater white-matter hyperintensity accrual in cognitively normal older adults. Neurobiol Aging 2016; 48:48-52. [PMID: 27639120 DOI: 10.1016/j.neurobiolaging.2016.08.014] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 07/29/2016] [Accepted: 08/13/2016] [Indexed: 11/20/2022]
Abstract
Cross-sectional studies show that elevated cerebral amyloid is associated with greater white-matter hyperintensity (WMH) burden in cognitively normal (CN) older adults. However, the relative time courses of amyloid and WMH accrual are unclear. To address this, we tested the associations between known WMH correlates-age, hypertension, and amyloid-with WMH accrual rate. We used brain magnetic resonance imaging to measure WMH change in 112 CN Alzheimer's Disease Neuroimaging Initiative (GO/2) participants over a 2-year period. A linear mixed effects model assessed baseline cerebrospinal fluid amyloid beta (Aβ) 1-42, hypertension, age, and their interactions, as predictors of greater WMH accrual. Greater amyloid burden was associated with greater WMH accrual over time. Those with hypertension showed a stronger association between greater amyloid burden and WMH accrual rate. Greater age was not significantly associated with greater WMH accrual in this model. Although the direction of the relationship cannot be tested in this model, CN individuals harboring cerebral amyloid had greater accrual of WMH over a 2-year period after accounting for hypertension and age. Impaired amyloid clearance and cerebral small vessel disease may both underlie the more rapid emergence of WM lesions. The role of cerebral amyloid burden in white-matter injury should thus be considered as a relevant factor when WMHs are detected clinically.
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Ruan Q, D'Onofrio G, Sancarlo D, Bao Z, Greco A, Yu Z. Potential neuroimaging biomarkers of pathologic brain changes in Mild Cognitive Impairment and Alzheimer's disease: a systematic review. BMC Geriatr 2016; 16:104. [PMID: 27184250 PMCID: PMC4869390 DOI: 10.1186/s12877-016-0281-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 05/09/2016] [Indexed: 12/16/2022] Open
Abstract
Background Neuroimaging-biomarkers of Mild Cognitive Impairment (MCI) allow an early diagnosis in preclinical stages of Alzheimer’s disease (AD). The goal in this paper was to review of biomarkers for Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD), with emphasis on neuroimaging biomarkers. Methods A systematic review was conducted from existing literature that draws on markers and evidence for new measurement techniques of neuroimaging in AD, MCI and non-demented subjects. Selection criteria included: 1) age ≥ 60 years; 2) diagnosis of AD according to NIAAA criteria, 3) diagnosis of MCI according to NIAAA criteria with a confirmed progression to AD assessed by clinical follow-up, and 4) acceptable clinical measures of cognitive impairment, disability, quality of life, and global clinical assessments. Results Seventy-two articles were included in the review. With the development of new radioligands of neuroimaging, today it is possible to measure different aspects of AD neuropathology, early diagnosis of MCI and AD become probable from preclinical stage of AD to AD dementia and non-AD dementia. Conclusions The panel of noninvasive neuroimaging-biomarkers reviewed provides a set methods to measure brain structural and functional pathophysiological changes in vivo, which are closely associated with preclinical AD, MCI and non-AD dementia. The dynamic measures of these imaging biomarkers are used to predict the disease progression in the early stages and improve the assessment of therapeutic efficacy in these diseases in future clinical trials.
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Affiliation(s)
- Qingwei Ruan
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Grazia D'Onofrio
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.
| | - Daniele Sancarlo
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Zhijun Bao
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Antonio Greco
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Zhuowei Yu
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai, 200040, China. .,Huadong Hospital, Shanghai Medical College, Fudan University, 221 West Yan An Road, Shanghai, 200040, P.R. China.
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34
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Altamura C, Scrascia F, Quattrocchi CC, Errante Y, Gangemi E, Curcio G, Ursini F, Silvestrini M, Maggio P, Beomonte Zobel B, Rossini PM, Pasqualetti P, Falsetti L, Vernieri F. Regional MRI Diffusion, White-Matter Hyperintensities, and Cognitive Function in Alzheimer's Disease and Vascular Dementia. J Clin Neurol 2016; 12:201-8. [PMID: 27074295 PMCID: PMC4828567 DOI: 10.3988/jcn.2016.12.2.201] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 05/10/2015] [Accepted: 05/13/2015] [Indexed: 02/04/2023] Open
Abstract
Background and Purpose An increase in brain water diffusivity as measured using magnetic resonance imaging (MRI) has been recently reported in normal-appearing white matter (NAWM) in patients affected by cognitive impairment. However, it remains to be clarified if this reflects an overt neuronal tissue disruption that leads to degenerative or microvascular lesions. This question was addressed by comparing the regional MRI apparent diffusion coefficients (ADCs) of NAWM in patients affected by Alzheimer's disease (AD) or vascular dementia (VaD). The relationships of ADCs with the white-matter hyperintensity (WMH) burden, carotid atherosclerosis, and cognitive performance were also investigated. Methods Forty-nine AD and 31 VaD patients underwent brain MRI to assess the WMH volume and regional NAWM ADCs, neuropsychological evaluations, and carotid ultrasound to assess the plaque severity and intima-media thickness (IMT). Results Regional ADCs in NAWM did not differ between VaD and AD patients, while the WMH volume was greater in VaD than in AD patients. The ADC in the anterior corpus callosum was related to the WMH volume, while a greater carotid IMT was positively correlated with the temporal ADC and WMH volume. The memory performance was worse in patients with higher temporal ADCs. Constructional praxis scores were related to ADCs in the frontal, and occipital lobes, in the anterior and posterior corpus callosum as well as to the WMH volume. Abstract reasoning was related to frontal, parietal, and temporal ADCs. Conclusions Our data show that higher regional ADCs in NAWM are associated with microcirculatory impairment, as depicted by the WMH volume. Moreover, regional ADCs in NAWM are differently associated with the neuropsychological performances in memory, constructional praxia, and abstract reasoning domains.
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Affiliation(s)
| | | | | | - Yuri Errante
- Radiology Unit, Campus Bio-Medico University, Rome, Italy
| | - Emma Gangemi
- Radiology Unit, Campus Bio-Medico University, Rome, Italy
| | - Giuseppe Curcio
- Clinical Medicine Department, Public Health, Life and Environment Scinces, University of L'Aquila, Italy.,IRCCS S. Raffaele, Rome - S.Raffaele Clinic, Cassino (FR), Italy
| | | | - Mauro Silvestrini
- Neurology Clinic, Università Politecnica delle Marche, Ancona, Italy
| | - Paola Maggio
- Neurology Unit, Campus Bio-Medico University, Rome, Italy
| | | | | | | | - Lorenzo Falsetti
- Internal and Subintensive Medicine, Ospedali Riuniti Ancona, Italy
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35
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Maillard P, Mitchell GF, Himali JJ, Beiser A, Tsao CW, Pase MP, Satizabal CL, Vasan RS, Seshadri S, DeCarli C. Effects of Arterial Stiffness on Brain Integrity in Young Adults From the Framingham Heart Study. Stroke 2016; 47:1030-6. [PMID: 26965846 DOI: 10.1161/strokeaha.116.012949] [Citation(s) in RCA: 88] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 02/22/2016] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Previous work from the Framingham Heart Study suggests that brain changes because of arterial aging may begin in young adulthood and that such changes precede cognitive deficits. The objective of this study was to determine the association of arterial stiffness with measures of white matter and gray matter (GM) integrity in young adults. METHODS One thousand nine hundred three participants from the Framingham Heart Study Third Generation (mean age, 46±8.7 years) had complete tonometry measurements and brain magnetic resonance imaging (T1-weighted and diffusion tensor imaging). Tonometry measures included carotid-femoral pulse wave velocity, augmentation index, carotid-brachial pressure amplification, and central pulse pressure. Fractional anisotropy and GM density images were computed from diffusion tensor imaging and T1 images. Registration to a common anatomic template enabled voxel-based linear regressions relating measures of fractional anisotropy and GM to tonometry measures, adjusting for relevant covariables. RESULTS Higher carotid-femoral pulse wave velocity was associated with lower regional fractional anisotropy, including the corpus callosum and the corona radiata (8.7 and 8.6 cc, respectively, P<0.001), as well as lower GM density in the thalamus region (0.9 cc, P<0.001). Analyses did not reveal significant associations between other tonometry measures and fractional anisotropy or GM. CONCLUSIONS Among young healthy adults, higher aortic stiffness was associated with measures of reduced white matter and GM integrity in areas implicated in cognitive decline and Alzheimer's disease. Greater aortic stiffness may result in subclinical vascular brain injury at ages much younger than previously described.
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Affiliation(s)
- Pauline Maillard
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.).
| | - Gary F Mitchell
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Jayandra J Himali
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Alexa Beiser
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Connie W Tsao
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Matthew P Pase
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Claudia L Satizabal
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Ramachandran S Vasan
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Sudha Seshadri
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
| | - Charles DeCarli
- From the Imaging of Dementia and Aging (IDeA) Laboratory, Davis, CA (P.M.); Department of Neurology and Center for Neurosciences, University of California, Davis, CA (P.M., C.D.); Cardiovascular Engineering, Inc, Norwood, MA (G.F.M.); The Framingham Heart Study, MA (J.J.H., A.B., M.P.P., C.L.S., S.S.); Boston University School of Medicine, MA (J.J.H., A.B., M.P.P., C.L.S., R.S.V., S.S.); Department of Biostatistics, Boston University School of Public Health, MA (A.B.); Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (C.W.T.); and Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia (M.P.P.)
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Pelletier A, Periot O, Dilharreguy B, Hiba B, Bordessoules M, Chanraud S, Pérès K, Amieva H, Dartigues JF, Allard M, Catheline G. Age-Related Modifications of Diffusion Tensor Imaging Parameters and White Matter Hyperintensities as Inter-Dependent Processes. Front Aging Neurosci 2016; 7:255. [PMID: 26834625 PMCID: PMC4718031 DOI: 10.3389/fnagi.2015.00255] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 12/22/2015] [Indexed: 11/13/2022] Open
Abstract
Microstructural changes of White Matter (WM) associated with aging have been widely described through Diffusion Tensor Imaging (DTI) parameters. In parallel, White Matter Hyperintensities (WMH) as observed on a T2-weighted MRI are extremely common in older individuals. However, few studies have investigated both phenomena conjointly. The present study investigates aging effects on DTI parameters in absence and in presence of WMH. Diffusion maps were constructed based on 21 directions DTI scans of young adults (n = 19, mean age = 33 SD = 7.4) and two age-matched groups of older adults, one presenting low-level-WMH (n = 20, mean age = 78, SD = 3.2) and one presenting high-level-WMH (n = 20, mean age = 79, SD = 5.4). Older subjects with low-level-WMH presented modifications of DTI parameters in comparison to younger subjects, fitting with the DTI pattern classically described in aging, i.e., Fractional Anisotropy (FA) decrease/Radial Diffusivity (RD) increase. Furthermore, older subjects with high-level-WMH showed higher DTI modifications in Normal Appearing White Matter (NAWM) in comparison to those with low-level-WMH. Finally, in older subjects with high-level-WMH, FA, and RD values of NAWM were associated with to WMH burden. Therefore, our findings suggest that DTI modifications and the presence of WMH would be two inter-dependent processes but occurring within different temporal windows. DTI changes would reflect the early phase of white matter changes and WMH would appear as a consequence of those changes.
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Affiliation(s)
- Amandine Pelletier
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de BordeauxBordeaux, France
| | - Olivier Periot
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; CHU de BordeauxBordeaux, France
| | - Bixente Dilharreguy
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France
| | | | - Martine Bordessoules
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; CHU de BordeauxBordeaux, France
| | - Sandra Chanraud
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; EPHEBordeaux, France
| | - Karine Pérès
- ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de Bordeaux Bordeaux, France
| | - Hélène Amieva
- ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de Bordeaux Bordeaux, France
| | - Jean-François Dartigues
- ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de Bordeaux Bordeaux, France
| | - Michèle Allard
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; CHU de BordeauxBordeaux, France; EPHEBordeaux, France
| | - Gwénaëlle Catheline
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; EPHEBordeaux, France
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Disrupted white matter structure underlies cognitive deficit in hypertensive patients. Eur Radiol 2015; 26:2899-907. [PMID: 26615558 DOI: 10.1007/s00330-015-4116-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Revised: 10/19/2015] [Accepted: 11/12/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVES Hypertension is considered a risk factor of cognitive impairments and could result in white matter changes. Current studies on hypertension-related white matter (WM) changes focus only on regional changes, and the information about global changes in WM structure network is limited. METHODS We assessed the cognitive function in 39 hypertensive patients and 37 healthy controls with a battery of neuropsychological tests. The WM structural networks were constructed by utilizing diffusion tensor tractography and calculated topological properties of the networks using a graph theoretical method. The direct and indirect correlations among cognitive impairments, brain WM network disruptions and hypertension were analyzed with structural equation modelling (SEM). RESULTS Hypertensive patients showed deficits in executive function, memory and attention compared with controls. An aberrant connectivity of WM networks was found in the hypertensive patients (P Eglob = 0.005, P Lp = 0.005), especially in the frontal and parietal regions. Importantly, SEM analysis showed that the decline of executive function resulted from aberrant WM networks in hypertensive patients (p = 0.3788, CFI = 0.99). CONCLUSIONS These results suggest that the cognitive decline in hypertensive patients was due to frontal and parietal WM disconnections. Our findings highlight the importance of brain protection in hypertension patients. KEY POINTS • Hypertension has a negative effect on the performance of the cognitive domains • Reduced efficiencies of white matter networks were shown in hypertension • Disrupted white matter networks are responsible for poor cognitive function in hypertension.
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Reginold W, Luedke AC, Tam A, Itorralba J, Fernandez-Ruiz J, Reginold J, Islam O, Garcia A. Cognitive Function and 3-Tesla Magnetic Resonance Imaging Tractography of White Matter Hyperintensities in Elderly Persons. Dement Geriatr Cogn Dis Extra 2015; 5:387-94. [PMID: 26628897 PMCID: PMC4662291 DOI: 10.1159/000439045] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Background/Aims This study used 3-Tesla magnetic resonance imaging (MRI) tractography to determine if there was an association between tracts crossing white matter hyperintensities (WMH) and cognitive function in elderly persons. Methods Brain T2-weighted fluid-attenuated inversion recovery (FLAIR) and diffusion tensor MRI scans were acquired in participants above the age of 60 years. Twenty-six persons had WMH identified on T2 FLAIR scans. They completed a battery of neuropsychological tests and were classified as normal controls (n = 15) or with Alzheimer's dementia (n = 11). Tractography was generated by the Fiber Assignment by Continuous Tracking method. All tracts that crossed WMH were segmented. The average fractional anisotropy and average mean diffusivity of these tracts were quantified. We studied the association between cognitive test scores with the average mean diffusivity and average fractional anisotropy of tracts while controlling for age, total WMH volume and diagnosis. Results An increased mean diffusivity of tracts crossing WMH was associated with worse performance on the Wechsler Memory Scale-III Longest Span Forward (p = 0.02). There was no association between the fractional anisotropy of tracts and performance on cognitive testing. Conclusion The mean diffusivity of tracts crossing WMH measured by tractography is a novel correlate of performance on the Wechsler Memory Scale-III Longest Span Forward in elderly persons.
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Affiliation(s)
- William Reginold
- Memory Clinics, Division of Geriatric Medicine, Department of Medicine, Ont., Canada
| | - Angela C Luedke
- Centre for Neuroscience Studies, Kingston General Hospital, Queen's University, Kingston, Ont., Canada
| | - Angela Tam
- Centre for Neuroscience Studies, Kingston General Hospital, Queen's University, Kingston, Ont., Canada
| | - Justine Itorralba
- Centre for Neuroscience Studies, Kingston General Hospital, Queen's University, Kingston, Ont., Canada
| | - Juan Fernandez-Ruiz
- Centre for Neuroscience Studies, Kingston General Hospital, Queen's University, Kingston, Ont., Canada
| | | | - Omar Islam
- Department of Diagnostic Radiology, Kingston General Hospital, Queen's University, Kingston, Ont., Canada
| | - Angeles Garcia
- Memory Clinics, Division of Geriatric Medicine, Department of Medicine, Ont., Canada ; Centre for Neuroscience Studies, Kingston General Hospital, Queen's University, Kingston, Ont., Canada
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McAleese KE, Firbank M, Dey M, Colloby SJ, Walker L, Johnson M, Beverley JR, Taylor JP, Thomas AJ, O’Brien JT, Attems J. Cortical tau load is associated with white matter hyperintensities. Acta Neuropathol Commun 2015; 3:60. [PMID: 26419828 PMCID: PMC4589169 DOI: 10.1186/s40478-015-0240-0] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 09/17/2015] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Cerebral white matter lesions (WML), visualized as white matter hyperintensities (WMH) on T2-weighted MRI, encompass structural damage and loss of integrity of the cerebral white matter (WM) and are commonly assumed to be associated with small vessel disease (SVD). However, it has been suggested that WM damage may also be the result of degenerative axonal loss that is secondary to cortical Alzheimer's disease (AD) pathologies i.e., hyperphosphorylated tau (HPτ) and amyloid-beta (Aβ). Here we investigate the influence of HPτ, Aβ and SVD on WMH severity. RESULTS 36 human post-mortem right fixed cerebral hemispheres (mean age 84.4 ± 7.7 years; male: 16, female: 20) containing varying amounts of AD-pathology (AD: 23, controls: 13) underwent T2- weighted MRI with WMH assessed according to the age related white matter change scale (ARWMC). After dissection, using tissue samples from the frontal, temporal, parietal and occipital regions from the right hemisphere, we quantitatively assessed cortical HPτ and Aβ pathology burden by measuring the percentage area covered by AT8 immunoreactivity (HPτ-IR) and 4G8 immunoreactivity (Aβ-IR), and assessed the severity of WM SVD by calculating the sclerotic index (SI) of WM arteries/arterioles. HPτ-IR, Aβ-IR, and SI were compared with ARWMC scores. HPτ-IR, Aβ-IR and WM ARWMC scores were all significantly higher in AD cases compared to controls, while SI values were similar between groups. ARWMC scores correlated with HPτ-IR, Aβ-IR and SI in various regions, however, linear regression revealed that only HPτ-IR was a significant independent predictor of ARWMC scores. CONCLUSIONS Here we have shown that increasing cortical HPτ burden independently predicted the severity of WMH indicating its potentially important role in the pathogenesis of WM damage. Moreover, our findings suggest that in AD patients the presence of WMH may indicate cortical AD-associated pathology rather than SVD. Further studies are warranted to elucidate the pathological processes that lead to WM damage and to clarify if WMH may serve as a general biomarker for cortical AD-associated pathology.
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Son SJ, Kim J, Seo J, Lee JM, Park H. Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images. Neurosci Res 2015; 98:50-8. [DOI: 10.1016/j.neures.2015.04.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Revised: 04/02/2015] [Accepted: 04/08/2015] [Indexed: 01/18/2023]
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Wardlaw JM, Valdés Hernández MC, Muñoz-Maniega S. What are white matter hyperintensities made of? Relevance to vascular cognitive impairment. J Am Heart Assoc 2015; 4:001140. [PMID: 26104658 PMCID: PMC4599520 DOI: 10.1161/jaha.114.001140] [Citation(s) in RCA: 585] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Joanna M Wardlaw
- Division of Neuroimaging Sciences and Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (J.M.W., M.C.V.H., S.M.M.)
| | - Maria C Valdés Hernández
- Division of Neuroimaging Sciences and Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (J.M.W., M.C.V.H., S.M.M.)
| | - Susana Muñoz-Maniega
- Division of Neuroimaging Sciences and Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (J.M.W., M.C.V.H., S.M.M.)
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Kim HJ, Im K, Kwon H, Lee JM, Kim C, Kim YJ, Jung NY, Cho H, Ye BS, Noh Y, Kim GH, Ko ED, Kim JS, Choe YS, Lee KH, Kim ST, Lee JH, Ewers M, Weiner MW, Na DL, Seo SW. Clinical effect of white matter network disruption related to amyloid and small vessel disease. Neurology 2015; 85:63-70. [PMID: 26062629 DOI: 10.1212/wnl.0000000000001705] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Accepted: 02/05/2015] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND We tested our hypothesis that the white matter network might mediate the effect of amyloid and small vessel disease (SVD) on cortical thickness and/or cognition. METHODS We prospectively recruited 232 patients with cognitive impairment. Amyloid was assessed using Pittsburgh compound B-PET. SVD was quantified as white matter hyperintensity volume and lacune number. The regional white matter network connectivity was measured as regional nodal efficiency by applying graph theoretical analysis to diffusion tensor imaging data. We measured cortical thickness and performed neuropsychological tests. RESULTS SVD burden was associated with decreased nodal efficiency in the bilateral frontal, lateral temporal, lateral parietal, and occipital regions. Path analyses showed that the frontal nodal efficiency mediated the effect of SVD on the frontal atrophy and frontal-executive dysfunction. The temporoparietal nodal efficiency mediated the effect of SVD on the temporoparietal atrophy and memory dysfunction. However, Pittsburgh compound B retention ratio affected cortical atrophy and cognitive impairment without being mediated by nodal efficiency. CONCLUSIONS We suggest that a disrupted white matter network mediates the effect of SVD, but not amyloid, on specific patterns of cortical atrophy and/or cognitive impairment. Therefore, our findings provide insight to better understand how amyloid and SVD burden can give rise to brain atrophy or cognitive impairment in specific patterns.
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Affiliation(s)
- Hee Jin Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Kiho Im
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hunki Kwon
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jong-Min Lee
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Changsoo Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Yeo Jin Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Na-Yeon Jung
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hanna Cho
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Byoung Seok Ye
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Young Noh
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Geon Ha Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - En-Da Ko
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jae Seung Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Yearn Seong Choe
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Kyung Han Lee
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sung Tae Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jae Hong Lee
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Michael Ewers
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Michael W Weiner
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Duk L Na
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea.
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Affiliation(s)
- Robert D Stevens
- From the Departments of Anesthesiology and Critical Care Medicine (R.D.S., Y.H.), Neurology (R.D.S., Y.H.), Neurosurgery (R.D.S.), and Radiology (R.D.S.), Johns Hopkins University School of Medicine, Baltimore, MD.
| | - Yousef Hannawi
- From the Departments of Anesthesiology and Critical Care Medicine (R.D.S., Y.H.), Neurology (R.D.S., Y.H.), Neurosurgery (R.D.S.), and Radiology (R.D.S.), Johns Hopkins University School of Medicine, Baltimore, MD
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Weinstein G, Maillard P, Himali JJ, Beiser AS, Au R, Wolf PA, Seshadri S, DeCarli C. Glucose indices are associated with cognitive and structural brain measures in young adults. Neurology 2015; 84:2329-37. [PMID: 25948725 DOI: 10.1212/wnl.0000000000001655] [Citation(s) in RCA: 106] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Accepted: 01/20/2015] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE To evaluate the possible early consequences of impaired glucose metabolism on the brain by assessing the relationship of diabetes, fasting blood glucose (FBG) levels, and insulin resistance with cognitive performance and brain integrity in healthy young and middle-aged adults. METHODS The sample included dementia-free participants (mean age 40 ± 9 years; 53% women) of the Framingham Heart Study third-generation cohort with cognitive testing of memory, abstract reasoning, visual perception, attention, and executive function (n = 2,126). In addition, brain MRI examination (n = 1,597) was used to determine white matter, gray matter, and white matter hyperintensity (WMH) volumes and fractional anisotropy measures. We used linear regression models to assess relationships between diabetes, FBG, and insulin resistance with cognition, lobar gray matter, and WMH volumes as well as voxel-based microstructural white matter integrity and gray matter density, adjusting for potential confounders. Mediating effect of brain lesions on the association of diabetes with cognitive performance was also tested. RESULTS Diabetes was associated with worse memory, visual perception, and attention performance; increased WMH; and decreased total cerebral brain and occipital lobar gray matter volumes. The link of diabetes with attention and memory was mediated through occipital and frontal atrophy, and the latter also through hippocampal atrophy. Both diabetes and increased FBG were associated with large areas of reductions in gray matter density and fractional anisotropy on voxel-based analyses. CONCLUSIONS We found that hyperglycemia is associated with subtle brain injury and impaired attention and memory even in young adults, indicating that brain injury is an early manifestation of impaired glucose metabolism.
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Affiliation(s)
- Galit Weinstein
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA.
| | - Pauline Maillard
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
| | - Jayandra J Himali
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
| | - Alexa S Beiser
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
| | - Rhoda Au
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
| | - Philip A Wolf
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
| | - Sudha Seshadri
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
| | - Charles DeCarli
- From the Department of Neurology (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), Boston University School of Medicine, MA; The Framingham Heart Study (G.W., J.J.H., A.S.B., R.A., P.A.W., S.S.), MA; the Department of Neurology (P.M., C.D.), The University of California at Davis, Sacramento; and the Department of Biostatistics (A.S.B.), Boston University School of Public Health, MA
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At the interface of sensory and motor dysfunctions and Alzheimer's disease. Alzheimers Dement 2015; 11:70-98. [PMID: 25022540 PMCID: PMC4287457 DOI: 10.1016/j.jalz.2014.04.514] [Citation(s) in RCA: 409] [Impact Index Per Article: 40.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Revised: 03/13/2014] [Accepted: 04/09/2014] [Indexed: 11/21/2022]
Abstract
Recent evidence indicates that sensory and motor changes may precede the cognitive symptoms of Alzheimer's disease (AD) by several years and may signify increased risk of developing AD. Traditionally, sensory and motor dysfunctions in aging and AD have been studied separately. To ascertain the evidence supporting the relationship between age-related changes in sensory and motor systems and the development of AD and to facilitate communication between several disciplines, the National Institute on Aging held an exploratory workshop titled "Sensory and Motor Dysfunctions in Aging and AD." The scientific sessions of the workshop focused on age-related and neuropathologic changes in the olfactory, visual, auditory, and motor systems, followed by extensive discussion and hypothesis generation related to the possible links among sensory, cognitive, and motor domains in aging and AD. Based on the data presented and discussed at this workshop, it is clear that sensory and motor regions of the central nervous system are affected by AD pathology and that interventions targeting amelioration of sensory-motor deficits in AD may enhance patient function as AD progresses.
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Zhan X, Jickling GC, Ander BP, Liu D, Stamova B, Cox C, Jin LW, DeCarli C, Sharp FR. Myelin injury and degraded myelin vesicles in Alzheimer's disease. Curr Alzheimer Res 2014; 11:232-8. [PMID: 24484278 DOI: 10.2174/1567205011666140131120922] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Revised: 11/22/2013] [Accepted: 11/25/2013] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Myelin disruption is an important feature of Alzheimer's disease (AD) that contributes to impairment of neuronal circuitry and cognition. In this study we characterize myelin degradation in the brains of patients with Alzheimer's disease compared with normal aged controls. METHODS Myelin from patients with AD (n=13) was compared to matched controls (n=6). Myelin degradation was examined by immunohistochemistry in frontal white matter (WM) for intact myelin basic protein (MBP), degraded MBP, the presence of myelin lipid and for PAS staining. The relationship of myelin degradation and axonal injury was also assessed. RESULTS Brains from patients with AD had significant loss of intact MBP, and an increase in degraded MBP in periventricular WM adjacent to a denuded ependymal layer. In regions of myelin degradation, vesicles were identified that stained positive for degraded MBP, myelin lipid, and neurofilament but not for intact MBP. Most vesicles stained for PAS, a corpora amylacea marker. The vesicles were significantly more abundant in the periventricular WM of AD patients compared to controls (44.5 ± 11.0 versus 1.7 ± 1.1, p=0.02). CONCLUSION In AD patients degraded MBP is associated in part with vesicles particularly in periventricular WM that is adjacent to areas of ependymal injury.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Frank R Sharp
- University of California at Davis, M.I.N.D. Institute - Room 2415, 2805 50th Street, Sacramento, CA 95817, USA.
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Anderson VC, Obayashi JT, Kaye JA, Quinn JF, Berryhill P, Riccelli LP, Peterson D, Rooney WD. Longitudinal relaxographic imaging of white matter hyperintensities in the elderly. Fluids Barriers CNS 2014; 11:24. [PMID: 25379172 PMCID: PMC4209516 DOI: 10.1186/2045-8118-11-24] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 10/04/2014] [Indexed: 11/25/2022] Open
Abstract
Background Incidental white matter hyperintensities (WMHs) are common findings on T2-weighted magnetic resonance images of the aged brain and have been associated with cognitive decline. While a variety of pathogenic mechanisms have been proposed, the origin of WMHs and the extent to which lesions in the deep and periventricular white matter reflect distinct etiologies remains unclear. Our aim was to quantify the fractional blood volume (vb) of small WMHs in vivo using a novel magnetic resonance imaging (MRI) approach and examine the contribution of blood–brain barrier disturbances to WMH formation in the deep and periventricular white matter. Methods Twenty-three elderly volunteers (aged 59–82 years) underwent 7 Tesla relaxographic imaging and fluid-attenuated inversion recovery (FLAIR) MRI. Maps of longitudinal relaxation rate constant (R1) were prepared before contrast reagent (CR) injection and throughout CR washout. Voxelwise estimates of vb were determined by fitting temporal changes in R1 values to a two-site model that incorporates the effects of transendothelial water exchange. Average vb values in deep and periventricular WMHs were determined after semi-automated segmentation of FLAIR images. Ventricular permeability was estimated from the change in CSF R1 values during CR washout. Results In the absence of CR, the total water fraction in both deep and periventricular WMHs was increased compared to normal appearing white matter (NAWM). The vb of deep WMHs was 1.8 ± 0.6 mL/100 g and was significantly reduced compared to NAWM (2.4 ± 0.8 mL/100 g). In contrast, the vb of periventricular WMHs was unchanged compared to NAWM, decreased with ventricular volume and showed a positive association with ventricular permeability. Conclusions Hyperintensities in the deep WM appear to be driven by vascular compromise, while those in the periventricular WM are most likely the result of a compromised ependyma in which the small vessels remain relatively intact. These findings support varying contributions of blood–brain barrier and brain-CSF interface disturbances in the pathophysiology of deep and periventricular WMHs in the aged human brain.
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Affiliation(s)
- Valerie C Anderson
- Advanced Imaging Research Center, L452, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA
| | - James T Obayashi
- Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, USA
| | - Jeffrey A Kaye
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Joseph F Quinn
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | | | - Louis P Riccelli
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR, USA
| | - Dean Peterson
- Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, USA
| | - William D Rooney
- Advanced Imaging Research Center, L452, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA
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Kehoe EG, McNulty JP, Mullins PG, Bokde ALW. Advances in MRI biomarkers for the diagnosis of Alzheimer's disease. Biomark Med 2014; 8:1151-69. [DOI: 10.2217/bmm.14.42] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
With the prevalence of Alzheimer's disease (AD) predicted to increase substantially over the coming decades, the development of effective biomarkers for the early detection of the disease is paramount. In this short review, the main neuroimaging techniques which have shown potential as biomarkers for AD are introduced, with a focus on MRI. Structural MRI measures of the hippocampus and medial temporal lobe are still the most clinically validated biomarkers for AD, but newer techniques such as functional MRI and diffusion tensor imaging offer great scope in tracking changes in the brain, particularly in functional and structural connectivity, which may precede gray matter atrophy. These new advances in neuroimaging methods require further development and crucially, standardization; however, before they are used as biomarkers to aid in the diagnosis of AD.
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Affiliation(s)
- Elizabeth G Kehoe
- The Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Jonathan P McNulty
- School of Medicine & Medical Science, University College Dublin, Dublin, Ireland
| | | | - Arun L W Bokde
- The Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
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Tract‐specific white matter degeneration in aging: The Rotterdam Study. Alzheimers Dement 2014; 11:321-30. [DOI: 10.1016/j.jalz.2014.06.011] [Citation(s) in RCA: 149] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2014] [Revised: 05/16/2014] [Accepted: 06/10/2014] [Indexed: 11/19/2022]
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Lockhart SN, DeCarli C. Structural imaging measures of brain aging. Neuropsychol Rev 2014; 24:271-89. [PMID: 25146995 PMCID: PMC4163469 DOI: 10.1007/s11065-014-9268-3] [Citation(s) in RCA: 161] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 08/05/2014] [Indexed: 01/18/2023]
Abstract
During the course of normal aging, biological changes occur in the brain that are associated with changes in cognitive ability. This review presents data from neuroimaging studies of primarily "normal" or healthy brain aging. As such, we focus on research in unimpaired or nondemented older adults, but also include findings from lifespan studies that include younger and middle aged individuals as well as from populations with prodromal or clinically symptomatic disease such as cerebrovascular or Alzheimer's disease. This review predominantly addresses structural MRI biomarkers, such as volumetric or thickness measures from anatomical images, and measures of white matter injury and integrity respectively from FLAIR or DTI, and includes complementary data from PET and cognitive or clinical testing as appropriate. The findings reveal highly consistent age-related differences in brain structure, particularly frontal lobe and medial temporal regions that are also accompanied by age-related differences in frontal and medial temporal lobe mediated cognitive abilities. Newer findings also suggest that degeneration of specific white matter tracts such as those passing through the genu and splenium of the corpus callosum may also be related to age-related differences in cognitive performance. Interpretation of these findings, however, must be tempered by the fact that comorbid diseases such as cerebrovascular and Alzheimer's disease also increase in prevalence with advancing age. As such, this review discusses challenges related to interpretation of current theories of cognitive aging in light of the common occurrence of these later-life diseases. Understanding the differences between "Normal" and "Healthy" brain aging and identifying potential modifiable risk factors for brain aging is critical to inform potential treatments to stall or reverse the effects of brain aging and possibly extend cognitive health for our aging society.
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Affiliation(s)
- Samuel N. Lockhart
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
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