1
|
Fruhwirth V, Berger L, Gattringer T, Fandler-Höfler S, Kneihsl M, Eppinger S, Ropele S, Fink A, Deutschmann H, Reishofer G, Enzinger C, Pinter D. White matter integrity and functional connectivity of the default mode network in acute stroke are associated with cognitive outcome three months post-stroke. J Neurol Sci 2024; 462:123071. [PMID: 38850772 DOI: 10.1016/j.jns.2024.123071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Knowledge about factors that are associated with post-stroke cognitive outcome is important to identify patients with high risk for impairment. We therefore investigated the associations of white matter integrity and functional connectivity (FC) within the brain's default-mode network (DMN) in acute stroke patients with cognitive outcome three months post-stroke. METHODS Patients aged between 18 and 85 years with an acute symptomatic MRI-proven unilateral ischemic middle cerebral artery infarction, who had received reperfusion therapy, were invited to participate in this longitudinal study. All patients underwent brain MRI within 24-72 h after symptom onset, and participated in a neuropsychological assessment three months post-stroke. We performed hierarchical regression analyses to explore the incremental value of baseline white matter integrity and FC beyond demographic, clinical, and macrostructural information for cognitive outcome. RESULTS The study cohort comprised 34 patients (mean age: 64 ± 12 years, 35% female). The initial median National Institutes of Health Stroke Scale (NIHSS) score was 10, and significantly improved three months post-stroke to a median NIHSS = 1 (p < .001). Nonetheless, 50% of patients showed cognitive impairment three months post-stroke. FC of the non-lesioned anterior cingulate cortex of the affected hemisphere explained 15% of incremental variance for processing speed (p = .007), and fractional anisotropy of the non-lesioned cingulum of the affected hemisphere explained 13% of incremental variance for cognitive flexibility (p = .033). CONCLUSIONS White matter integrity and functional MRI markers of the DMN in acute stroke explain incremental variance for post-stroke cognitive outcome beyond demographic, clinical, and macrostructural information.
Collapse
Affiliation(s)
- Viktoria Fruhwirth
- Department of Neurology, Medical University of Graz, Graz, Austria; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria; Institute of Psychology, Department of Biological Psychology, University of Graz, Graz, Austria
| | - Lisa Berger
- Institute of Psychology, Department of Neuropsychology - Neuroimaging, University of Graz, Graz, Austria
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | | | - Markus Kneihsl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Andreas Fink
- Institute of Psychology, Department of Biological Psychology, University of Graz, Graz, Austria
| | - Hannes Deutschmann
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Gernot Reishofer
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria.
| |
Collapse
|
2
|
Brownsett SLE, Carey LM, Copland D, Walsh A, Sihvonen AJ. Structural brain networks correlating with poststroke cognition. Hum Brain Mapp 2024; 45:e26665. [PMID: 38520376 PMCID: PMC10960554 DOI: 10.1002/hbm.26665] [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: 12/20/2023] [Revised: 03/03/2024] [Accepted: 03/08/2024] [Indexed: 03/25/2024] Open
Abstract
Cognitive deficits are a common and debilitating consequence of stroke, yet our understanding of the structural neurobiological biomarkers predicting recovery of cognition after stroke remains limited. In this longitudinal observational study, we set out to investigate the effect of both focal lesions and structural connectivity on poststroke cognition. Sixty-two patients with stroke underwent advanced brain imaging and cognitive assessment, utilizing the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE), at 3-month and 12-month poststroke. We first evaluated the relationship between lesions and cognition at 3 months using voxel-based lesion-symptom mapping. Next, a novel correlational tractography approach, using multi-shell diffusion-weighted magnetic resonance imaging (MRI) data collected at both time points, was used to evaluate the relationship between the white matter connectome and cognition cross-sectionally at 3 months, and longitudinally (12 minus 3 months). Lesion-symptom mapping did not yield significant findings. In turn, correlational tractography analyses revealed positive associations between both MoCA and MMSE scores and bilateral cingulum and the corpus callosum, both cross-sectionally at the 3-month stage, and longitudinally. These results demonstrate that rather than focal neural structures, a consistent structural connectome underpins the performance of two frequently used cognitive screening tools, the MoCA and the MMSE, in people after stroke. This finding should encourage clinicians and researchers to not only suspect cognitive decline when lesions affect these tracts, but also to refine their investigation of novel approaches to differentially diagnosing pathology associated with cognitive decline, regardless of the aetiology.
Collapse
Affiliation(s)
- Sonia L. E. Brownsett
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneVictoriaAustralia
- Queensland Aphasia Research CentreSurgical, Treatment and Rehabilitation Service, University of QueenslandBrisbaneQueenslandAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Leeanne M. Carey
- Occupational Therapy, School of Allied Health Human Services and SportLa Trobe UniversityMelbourneVictoriaAustralia
- Neurorehabilitation and Recovery GroupThe FloreyMelbourneVictoriaAustralia
| | - David Copland
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneVictoriaAustralia
- Queensland Aphasia Research CentreSurgical, Treatment and Rehabilitation Service, University of QueenslandBrisbaneQueenslandAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Alistair Walsh
- Occupational Therapy, School of Allied Health Human Services and SportLa Trobe UniversityMelbourneVictoriaAustralia
- Neurorehabilitation and Recovery GroupThe FloreyMelbourneVictoriaAustralia
| | - Aleksi J. Sihvonen
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneVictoriaAustralia
- Queensland Aphasia Research CentreSurgical, Treatment and Rehabilitation Service, University of QueenslandBrisbaneQueenslandAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
- Centre of Excellence in Music, Mind, Body and Brain, Cognitive Brain Research Unit (CBRU)University of HelsinkiHelsinkiFinland
| |
Collapse
|
3
|
Tsiakiri A, Christidi F, Tsiptsios D, Vlotinou P, Kitmeridou S, Bebeletsi P, Kokkotis C, Serdari A, Tsamakis K, Aggelousis N, Vadikolias K. Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies. Neurol Int 2024; 16:210-225. [PMID: 38392955 PMCID: PMC10893544 DOI: 10.3390/neurolint16010014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/25/2024] Open
Abstract
The Trail Making Test (TMT) is one of the most commonly administered tests in clinical and research neuropsychological settings. The two parts of the test (part A (TMT-A) and part B (TMT-B)) enable the evaluation of visuoperceptual tracking and processing speed (TMT-A), as well as divided attention, set-shifting and cognitive flexibility (TMT-B). The main cognitive processes that are assessed using TMT, i.e., processing speed, divided attention, and cognitive flexibility, are often affected in patients with stroke. Considering the wide use of TMT in research and clinical settings since its introduction in neuropsychological practice, the purpose of our review was to provide a comprehensive overview of the use of TMT in stroke patients. We present the most representative studies assessing processing speed and attentional shift/mental flexibility in stroke settings using TMT and applying scoring methods relying on conventional TMT scores (e.g., time-to-complete part A and part B), as well as derived measures (e.g., TMT-(B-A) difference score, TMT-(B/A) ratio score, errors in part A and part B). We summarize the cognitive processes commonly associated with TMT performance in stroke patients (e.g., executive functions), lesion characteristics and neuroanatomical underpinning of TMT performance post-stroke, the association between TMT performance and patients' instrumental activities of daily living, motor difficulties, speech difficulties, and mood statue, as well as their driving ability. We also highlight how TMT can serve as an objective marker of post-stroke cognitive recovery following the implementation of interventions. Our comprehensive review underscores that the TMT stands as an invaluable asset in the stroke assessment toolkit, contributing nuanced insights into diverse cognitive, functional, and emotional dimensions. As research progresses, continued exploration of the TMT potential across these domains is encouraged, fostering a deeper comprehension of post-stroke dynamics and enhancing patient-centered care across hospitals, rehabilitation centers, research institutions, and community health settings. Its integration into both research and clinical practice reaffirms TMT status as an indispensable instrument in stroke-related evaluations, enabling holistic insights that extend beyond traditional neurological assessments.
Collapse
Affiliation(s)
- Anna Tsiakiri
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| | - Foteini Christidi
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| | - Dimitrios Tsiptsios
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| | - Pinelopi Vlotinou
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| | - Sofia Kitmeridou
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| | - Paschalina Bebeletsi
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 691 00 Komotini, Greece; (C.K.); (N.A.)
| | - Aspasia Serdari
- Department of Child and Adolescent Psychiatry, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece;
| | - Konstantinos Tsamakis
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London SE5 8AB, UK;
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 691 00 Komotini, Greece; (C.K.); (N.A.)
| | - Konstantinos Vadikolias
- Neurology Department, School of Medicine, Democritus University of Thrace, 681 00 Alexandroupolis, Greece; (A.T.); (F.C.); (P.V.); (S.K.); (P.B.); (K.V.)
| |
Collapse
|
4
|
Wu B, Guo S, Jia X, Geng Z, Yang Q. White Matter Microstructural Alterations over the Year after Acute Ischemic Stroke in Patients with Baseline Impaired Cognitive Functions. Neural Plast 2023; 2023:6762225. [PMID: 37456365 PMCID: PMC10348854 DOI: 10.1155/2023/6762225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 05/14/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023] Open
Abstract
Background The disruption of white matter (WM) integrity is related to poststroke cognitive impairment (PSCI). The exploration of WM integrity alterations in the chronic stage of acute ischemic stroke (AIS) may help to improve the long-term outcomes of PSCI. Methods Sixty patients showing impaired cognitive functions within 3 days after AIS (baseline) and 25 healthy controls underwent diffusion kurtosis imaging scan and cognitive assessment at baseline and 1 year. Based on the tract-based spatial statistics (TBSS), kurtosis fractional anisotropy (KFA) and mean kurtosis (MK) were compared in WM tracts between the groups. Results One year after AIS, 25 patients were diagnosed with PSCI and 35 patients with non-cognitive impairment (NCI). Compared with baseline, cognitive performance improved in 54 patients and remained unchanged in 6 patients at 1 year. TBSS analysis showed that there were no significant differences in WM tract integrity between the AIS and control groups at baseline (P > 0.05). Compared with the control group, the KFA and MK in multiple WM tracts in the AIS group decreased significantly at 1 year (P < 0.05). Longitudinal analysis showed that the KFA and MK of multiple WM tracts recorded at 1 year were significantly lower than those recorded at baseline in the AIS, PSCI, and NCI groups (P < 0.05), and PSCI group had a faster degeneration than NCI group (P < 0.05). Conclusion The finding suggests that the patients with baseline impaired cognitive functions still have WM microstructural damages at 1 year poststroke, even if their cognitive function has improved or returned to normal. Cautions should be taken against the possible negative impact of these changes on long-term cognition.
Collapse
Affiliation(s)
- Bingyuan Wu
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Shida Guo
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei, China
| | - Xiuqin Jia
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Zuojun Geng
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei, China
| | - Qi Yang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| |
Collapse
|
5
|
Haddad SMH, Scott CJM, Ozzoude M, Berezuk C, Holmes M, Adamo S, Ramirez J, Arnott SR, Nanayakkara ND, Binns M, Beaton D, Lou W, Sunderland K, Sujanthan S, Lawrence J, Kwan D, Tan B, Casaubon L, Mandzia J, Sahlas D, Saposnik G, Hassan A, Levine B, McLaughlin P, Orange JB, Roberts A, Troyer A, Black SE, Dowlatshahi D, Strother SC, Swartz RH, Symons S, Montero-Odasso M, ONDRI Investigators, Bartha R. Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. Int J Biomed Imaging 2022; 2022:5860364. [PMID: 36313789 PMCID: PMC9616672 DOI: 10.1155/2022/5860364] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [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.
Collapse
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
| |
Collapse
|
6
|
Sagnier S, Catheline G, Dilharreguy B, Linck PA, Coupé P, Munsch F, Bigourdan A, Poli M, Debruxelles S, Renou P, Olindo S, Rouanet F, Dousset V, Tourdias T, Sibon I. Normal-Appearing White Matter Deteriorates over the Year After an Ischemic Stroke and Is Associated with Global Cognition. Transl Stroke Res 2022; 13:716-724. [PMID: 35106712 DOI: 10.1007/s12975-022-00988-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 11/19/2021] [Accepted: 01/17/2022] [Indexed: 10/19/2022]
Abstract
Normal-appearing white matter (NAWM) is a hub of plasticity, but data relating to its influence on post-ischemic stroke (IS) outcome remain scarce. The aim of this study was to evaluate the relationship between NAWM integrity and cognitive outcome after an IS. A longitudinal study was conducted including supra-tentorial IS patients. A 3-Tesla brain MRI was performed at baseline and 1 year, allowing the analyses of mean fractional anisotropy (FA) and mean diffusivity (MD) in NAWM masks, along with the volume of white matter hyperintensities (WMH) and IS. A Montreal Cognitive Assessment (MoCA), an Isaacs set test, and a Zazzo's cancellation task were performed at baseline, 3 months and 1 year. Mixed models were built, followed by Tract-based Spatial Statistics (TBSS) analyses. Ninety-five patients were included in the analyses (38% women, median age 69 ± 20). FA significantly decreased, and MD significantly increased between baseline and 1 year, while cognitive scores improved. Patients who decreased their NAWM FA more over the year had a slower cognitive improvement on MoCA (β = - 0.11, p = 0.05). The TBSS analyses showed that patients who presented the highest decrease of FA in various tracts of white matter less improved their MoCA performances, regardless of WMH and IS volumes, demographic confounders, and clinical severity. NAWM integrity deteriorates over the year after an IS, and is associated with a cognitive recovery slowdown. The diffusion changes recorded here in patients starting with an early preserved white matter structure could have long term impact on cognition.
Collapse
Affiliation(s)
- Sharmila Sagnier
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France.
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France.
- INCIA Université Bordeaux 2, 146 rue Léo Saignat Zone Nord, Bâtiment 2A, 2e étage, 33076, Bordeaux, France.
| | - Gwenaëlle Catheline
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
| | - Bixente Dilharreguy
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
| | | | - Pierrick Coupé
- UMR-5800, CNRS, Université de Bordeaux, LaBRI, Talence, France
| | - Fanny Munsch
- Beth Israel Deaconess Medical Center, Harvard University, Boston, USA
| | | | - Mathilde Poli
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | | | - Pauline Renou
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | | | | | - Vincent Dousset
- CHU de Bordeaux, Neuroradiologie, Bordeaux, France
- INSERM-U1215, Neurocentre Magendie, Bordeaux, France
| | - Thomas Tourdias
- CHU de Bordeaux, Neuroradiologie, Bordeaux, France
- INSERM-U1215, Neurocentre Magendie, Bordeaux, France
| | - Igor Sibon
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| |
Collapse
|
7
|
Pressman E, Sands V, Flores G, Chen L, Mhaskar R, Guerrero WR, Ren Z, Mokin M. Eloquence-based reperfusion scoring and its ability to predict post-thrombectomy disability and functional status. Interv Neuroradiol 2022; 28:538-546. [PMID: 34647489 PMCID: PMC9511628 DOI: 10.1177/15910199211046424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 08/20/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Angiographic reperfusion after endovascular thrombectomy in acute ischemic stroke is commonly graded using volume-based reperfusion scores such as the modified thrombolysis in cerebral infarct score. The location of non-reperfused regions is not included in modified thrombolysis in cerebral infarct score. We studied the predictive ability of an eloquence-based reperfusion score. METHODS Consecutive cases of endovascular thrombectomy for anterior circulation strokes performed between January 2018 and April 2020 were included. Digital subtraction angiograms were reviewed by two blinded neurointerventionalist operators. Incomplete reperfusion was further classified by lobar regions lacking reperfusion to create various cohorts. Outcomes were graded four to seven days post-procedure with the National Institute of Health Stroke Scale (NIHSS) and 90 days post-procedure with the modified Rankin Scale. RESULTS One hundred patients were identified. Via multivariate analysis, we found that frontal lobe non-reperfusion (mean difference (MD) = -1.60, p = 0.002) and occipital lobe non-reperfusion (MD = -1.68, p = 0.001) were associated with worse mental status improvement while left-sided stroke (MD = 2.02, p < 0.001) featured better improvement post-thrombectomy. Occipital lobe non-reperfusion (MD = -0.734, p = 0.009) was associated with the worse improvement of visual fields. The non-reperfusion of the frontal lobe was associated with a 1.732-worse NIHSS hemibody strength score (95% confidence interval (95%CI) = -3.39 to -0.072, p = 0.041). Worse improvement in NIHSS scores was found to be associated with frontal lobe non-reperfusion (MD = -5.34, 95%CI = -9.52 to -1.18, p = 0.013) and occipital lobe non-reperfusion (MD = -6.35, 95%CI = -10.4 to -2.31, p = 0.002). Odds of achieving modified Rankin Scale of 0-2 at 90 days were decreased with frontal lobe non-reperfusion (odds ratio (OR) = 0.279, 95%CI = 0.090-0.869, p = 0.028) and left laterality (OR = 0.376, 95%CI = 0.153-0.922, p = 0.033). CONCLUSIONS Eloquence-based reperfusion assessment is an important predictor for functional outcomes after thrombectomy.
Collapse
Affiliation(s)
- Elliot Pressman
- Department of Neurosurgery, University of South Florida, USA
| | - Victoria Sands
- Department of Neurosurgery, University of South Florida, USA
| | - Gabriel Flores
- Department of Neurosurgery, University of South Florida, USA
| | - Liwei Chen
- Department of Internal Medicine, University of South Florida, USA
| | - Rahul Mhaskar
- Department of Internal Medicine, University of South Florida, USA
| | | | - Zeguang Ren
- Department of Neurosurgery, University of South Florida, USA
| | - Maxim Mokin
- Department of Neurosurgery, University of South Florida, USA
| |
Collapse
|
8
|
Kern KC, Wright CB, Leigh R. Global changes in diffusion tensor imaging during acute ischemic stroke and post-stroke cognitive performance. J Cereb Blood Flow Metab 2022; 42:1854-1866. [PMID: 35579236 PMCID: PMC9536124 DOI: 10.1177/0271678x221101644] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Post-stroke cognitive impairment is related to the effects of the acute stroke and pre-stroke brain health. We tested whether diffusion tensor imaging (DTI) can detect acute, global effects of stroke and predict post-stroke cognitive performance. Patients with stroke or TIA enrolled in a prospective cohort study were included if they had 1) at least one DTI acquisition at acute presentation, 24 hours, 5 days, or 30 days, and 2) follow-up testing with the telephone Montreal Cognitive Assessment (T-MoCA) at 30 and/or 90 days. A whole brain, white-matter skeleton excluding the infarct was used to derive mean global DTI measures for mean diffusivity (MD), fractional anisotropy (FA), free water (FW), FW-corrected MD (MDtissue), and FW-corrected FA (FAtissue). In 74 patients with ischemic stroke or TIA, there was a transient 4.2% increase in mean global FW between acute presentation and 24 hours (p = 0.024) that returned to initial values by 30 days (p = 0.03). Each acute global DTI measure was associated with 30-day T-MoCA score (n = 61, p = 0.0011-0.0076). Acute global FW, MD, FA and FAtissue were also associated with 90-day T-MoCA (n = 56, p = 0.0034-0.049). Transient global FW elevation likely reflects stroke-related interstitial edema, whereas other global DTI measures are more representative of pre-stroke brain health.
Collapse
Affiliation(s)
- Kyle C Kern
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Clinton B Wright
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Richard Leigh
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
9
|
Yan J, Chen L, Yu Y, Xu H, Xu Z, Sheng Y, Chen J. Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study. Neuroinformatics 2022; 20:701-726. [PMID: 35235184 DOI: 10.1007/s12021-022-09571-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2022] [Indexed: 12/31/2022]
Abstract
Sharing various neuroimaging digital resources have received widespread attention in FAIR (Findable, Accessible, Interoperable and Reusable) neuroscience. In order to support a comprehensive understanding of brain cognition, neuroimaging provenance should be constructed to characterize both research processes and results, and integrates various digital resources for quick replication and open cooperation. This brings new challenges to neuroimaging text mining, including fragmented information, lack of labelled corpora, and vague topics. This paper proposes a text mining pipeline for enabling the FAIR neuroimaging study. In order to avoid fragmented information, the Brain Informatics provenance model is redesigned based on NIDM (Neuroimaging Data Model) and FAIR facets. It can systematically capture the provenance requests from the FAIR neuroimaging study and then transform them into a group of text mining tasks. A neuroimaging text mining pipeline combining deep adversarial learning with interaction based topic modeling, called neuroimaging interaction topic model (Neuroimaging-ITM), is proposed to automatically extract neuroimaging provenance and identify research topics in the few-shot scenario. Finally, a group of experiments is completed by using real data from the journal PloS One. The experimental results show that Neuroimaging-ITM can systematically and accurately extract provenance information and obtain high-quality research topics from the full text of neuroimaging articles. Most of the mean F1 values of provenance extraction exceed 0.9. The topic coherence and KL (Kullback-Leibler) divergence reach 9.95 and 0.96 respectively. The results are obviously better than baseline methods.
Collapse
Affiliation(s)
- Jianzhuo Yan
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.,Engineering Research Center of Digital Community, Beijing University of Technology, Beijing, 100124, China
| | - Lihong Chen
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.,Engineering Research Center of Digital Community, Beijing University of Technology, Beijing, 100124, China
| | - Yongchuan Yu
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.,Engineering Research Center of Digital Community, Beijing University of Technology, Beijing, 100124, China
| | - Hongxia Xu
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.,Engineering Research Center of Digital Community, Beijing University of Technology, Beijing, 100124, China
| | - Zhe Xu
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Ying Sheng
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Jianhui Chen
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China. .,Beijing International Collaboration Base On Brain Informatics and Wisdom Services, Beijing University of Technology, Beijing, 100124, China. .,Beijing Key Laboratory of MRI and Brain Informatics, Beijing University of Technology, Beijing, 100124, China.
| |
Collapse
|
10
|
White matter microstructural damage in chronic ischemic stroke affecting the left inferior frontal gyrus: association with cognitive functions. Clin Neurol Neurosurg 2022; 217:107238. [DOI: 10.1016/j.clineuro.2022.107238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 03/18/2022] [Accepted: 03/31/2022] [Indexed: 01/01/2023]
|
11
|
von Deneen KM. Correlations between cognitive function and gray matter alterations in patients with acute lacunar stroke. BRAIN SCIENCE ADVANCES 2021. [DOI: 10.26599/bsa.2021.9050012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Researchers emphasized acute lacunar stroke (ALS) patients suffer from poor social/physical outcomes, cognitive decline, and decreased quality of life. We hypothesized brain abnormalities may occur in ALS during this particular stage and may be associated with cognitive deficits upon evaluation. We investigated structural abnormalities in ALS using magnetic resonance imaging and voxel-based morphometry conducted on 28 healthy controls (HC) and 29 patients with ALS and proximal anterior circulation occlusion within 12 hours of symptom onset. Mini-Mental State Examination (MMSE) scores were used to evaluate cognitive dysfunction. Decreased gray matter (GM) in ALS vs. HC was predominantly in the superior frontal gyrus, inferior frontal gyrus, insula, superior temporal gyrus (STG), heschl gyrus, middle temporal gyrus (MTG), posterior cingulate cortex (PCC), hippocampus (HIP), and others. Positive correlation was found between GM density and MMSE scores in STG ( r = 0.59, p = 0.0007), MTG ( r = 0.46, p = 0.01), PCC ( r = 0.42, p = 0.02), HIP ( r = 0.4, p = 0.03), and medial prefrontal cortex ( r = 0.5, p = 0.005). This study provided further information on pathophysiological/morphological mechanisms related to cognitive impairment in ALS and is the basis for further studies in aging-related diseases.
Collapse
Affiliation(s)
- Karen M. von Deneen
- School of Life Science and Technology, Xidian University, Xi’an 710126, Shaanxi, China
| |
Collapse
|
12
|
Lee KP, Chang AYW, Sung PS. Association between Blood Pressure, Blood Pressure Variability, and Post-Stroke Cognitive Impairment. Biomedicines 2021; 9:773. [PMID: 34356837 PMCID: PMC8301473 DOI: 10.3390/biomedicines9070773] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/23/2021] [Accepted: 06/29/2021] [Indexed: 12/18/2022] Open
Abstract
After stroke, dynamic changes take place from necrotic-apoptotic continuum, inflammatory response to poststroke neurogenesis, and remodeling of the network. These changes and baseline brain pathology such as small vessel disease (SVD) and amyloid burden may be associated with the occurrence of early or late poststroke cognitive impairment (PSCI) or dementia (PSD), which affect not only stroke victims but also their families and even society. We reviewed the current concepts and understanding of the pathophysiology for PSCI/PSD and identified useful tools for the diagnosis and the prediction of PSCI in serological, CSF, and image characteristics. Then, we untangled their relationships with blood pressure (BP) and blood pressure variability (BPV), important but often overlooked risk factors for PSCI/PSD. Finally, we provided evidence for the modifying effects of BP and BPV on PSCI as well as pharmacological and non-pharmacological interventions and life style modification for PSCI/PSD prevention and treatment.
Collapse
Affiliation(s)
- Kang-Po Lee
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Department of Neurology, E-DA Hospital, Kaohsiung 824, Taiwan
| | - Alice Y. W. Chang
- Department of Physiology, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Pi-Shan Sung
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| |
Collapse
|
13
|
Adam R, Schaeffer DJ, Johnston K, Menon RS, Everling S. Structural alterations in cortical and thalamocortical white matter tracts after recovery from prefrontal cortex lesions in macaques. Neuroimage 2021; 232:117919. [PMID: 33652141 DOI: 10.1016/j.neuroimage.2021.117919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 01/04/2023] Open
Abstract
Unilateral damage to the frontoparietal network typically impairs saccade target selection within the contralesional visual hemifield. Severity of deficits and the degree of recovery have been associated with widespread network dysfunction, yet it is not clear how these behavioural and functional brain changes relate with the underlying structural white matter tracts. Here, we investigated whether recovery after unilateral prefrontal cortex (PFC) lesions was associated with changes in white matter microstructure across large-scale frontoparietal cortical and thalamocortical networks. Diffusion-weighted imaging was acquired in four male rhesus macaques at pre-lesion, week 1, and week 8-16 post-lesion when target selection deficits largely recovered. Probabilistic tractography was used to reconstruct cortical frontoparietal fiber tracts, including the superior longitudinal fasciculus (SLF) and transcallosal fibers connecting the PFC or posterior parietal cortex (PPC), as well as thalamocortical fiber tracts connecting the PFC and PPC to thalamic nuclei. We found that the two animals with small PFC lesions showed increased fractional anisotropy in both cortical and thalamocortical fiber tracts when behaviour had recovered. However, we found that fractional anisotropy decreased in cortical frontoparietal tracts after larger PFC lesions yet increased in some thalamocortical tracts at the time of behavioural recovery. These findings indicate that behavioural recovery after small PFC lesions may be supported by both cortical and subcortical areas, whereas larger PFC lesions may have induced widespread structural damage and hindered compensatory remodeling in the cortical frontoparietal network.
Collapse
Affiliation(s)
- Ramina Adam
- Graduate Program in Neuroscience, University of Western Ontario, London, Canada; Robarts Research Institute, University of Western Ontario, London, Canada; The Brain and Mind Institute, University of Western Ontario, London, Canada
| | - David J Schaeffer
- Department of Neurobiology, University of Pittsburgh, PA, United States
| | - Kevin Johnston
- The Brain and Mind Institute, University of Western Ontario, London, Canada; Department of Physiology and Pharmacology, University of Western Ontario, London, Canada
| | - Ravi S Menon
- Robarts Research Institute, University of Western Ontario, London, Canada; The Brain and Mind Institute, University of Western Ontario, London, Canada; Department of Medical Biophysics, University of Western Ontario, London, Canada
| | - Stefan Everling
- Graduate Program in Neuroscience, University of Western Ontario, London, Canada; Robarts Research Institute, University of Western Ontario, London, Canada; The Brain and Mind Institute, University of Western Ontario, London, Canada; Department of Physiology and Pharmacology, University of Western Ontario, London, Canada.
| |
Collapse
|
14
|
Vicentini JE, Weiler M, Casseb RF, Almeida SR, Valler L, de Campos BM, Li LM. Subacute functional connectivity correlates with cognitive recovery six months after stroke. NEUROIMAGE-CLINICAL 2020; 29:102538. [PMID: 33385880 PMCID: PMC7779317 DOI: 10.1016/j.nicl.2020.102538] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 11/19/2020] [Accepted: 12/15/2020] [Indexed: 12/27/2022]
Abstract
Stroke disrupts ipsilesional and inter-hemispheric functional connectivity of DMN. Subacute cognition correlated to inter-hemispheric and ipsilesional DMN connectivity. Subacute cognition correlated to weaker contralesional SN connectivity. Functional connectivity remapping was not observed after six months. Cognitive recovery correlated to DMN and SN connectivity from the subacute phase.
Background and purpose Cognitive impairment is a common consequence of stroke, and the rewiring of the surviving brain circuits might contribute to cognitive recovery. Studies investigating how the functional connectivity of networks change across time and whether their remapping relates to cognitive recovery in stroke patients are scarce. We aimed to investigate whether resting-state functional connectivity was associated with cognitive performance in stroke patients and if any alterations in these networks were correlated with cognitive recovery. Methods Using an fMRI ROI-ROI approach, we compared the ipsilesional, contralesional and interhemispheric functional connectivity of three resting-state networks involved in cognition – the Default Mode (DMN), Salience (SN) and Central Executive Networks (CEN), in subacute ischemic stroke patients (time 1, n = 37, stroke onset: 24.32 ± 7.44 days, NIHSS: 2.66 ± 3.45) with cognitively healthy controls (n = 20). Patients were reassessed six months after the stroke event (time 2, n = 20, stroke onset: 182.05 ± 8.17 days) to verify the subsequent reorganization of functional connections and whether such reorganization was associated with cognitive recovery. Results At time 1, patients had weaker interhemispheric connectivity in the DMN than controls; better cognitive performance at time 1 was associated with stronger interhemispheric and ipsilesional DMN connectivity, and weaker contralesional SN connectivity. At time 2, there were no changes in functional connectivity in stroke patients, compared to time 1. Better cognitive recovery measured at time 2 (time 2 – time 1) was associated with stronger functional connectivity in the DMN, and weaker interhemispheric subacute connectivity in the SN, both from time 1. Conclusions Stroke disrupts the functional connectivity of the DMN, not only at the lesioned hemisphere but also between hemispheres. Six months after the stroke event, we could not detect the remapping of networks. Cognitive recovery was associated with the connectivity of both the DMN and SN of time 1. Our findings may be helpful for facilitating further understanding of the potential mechanisms underlying post-stroke cognitive performance.
Collapse
Affiliation(s)
- Jéssica Elias Vicentini
- Brazilian Institute of Neuroscience and Neurotechnology - Brainn, Department of Neurology, Faculty of Medical Sciences - University of Campinas (UNICAMP), Brazil
| | - Marina Weiler
- Neurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health (NIA/NIH), Intramural Research Program, United States
| | | | - Sara Regina Almeida
- Brazilian Institute of Neuroscience and Neurotechnology - Brainn, Department of Neurology, Faculty of Medical Sciences - University of Campinas (UNICAMP), Brazil
| | - Lenise Valler
- Brazilian Institute of Neuroscience and Neurotechnology - Brainn, Department of Neurology, Faculty of Medical Sciences - University of Campinas (UNICAMP), Brazil
| | - Brunno Machado de Campos
- Brazilian Institute of Neuroscience and Neurotechnology - Brainn, Department of Neurology, Faculty of Medical Sciences - University of Campinas (UNICAMP), Brazil
| | - Li Min Li
- Brazilian Institute of Neuroscience and Neurotechnology - Brainn, Department of Neurology, Faculty of Medical Sciences - University of Campinas (UNICAMP), Brazil.
| |
Collapse
|
15
|
Ding MY, Xu Y, Wang YZ, Li PX, Mao YT, Yu JT, Cui M, Dong Q. Predictors of Cognitive Impairment After Stroke: A Prospective Stroke Cohort Study. J Alzheimers Dis 2020; 71:1139-1151. [PMID: 31524163 DOI: 10.3233/jad-190382] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) significantly affects stroke survivors' quality of life and rehabilitation. A risk model identifying cognitive decline at admission would help to improve early detection and management of post-stroke patients. OBJECTIVE To develop a new clinical risk score for ischemic stroke survivors in predicting 6-12 months PSCI. METHODS We prospectively enrolled 179 patients diagnosed with acute ischemic stroke within a 7-day onset. Data were analyzed based on baseline demographics, clinical risk factors, and radiological parameters. Logistic regression and area under the receiver operating curve (AUROC) were used to evaluate model efficiency. RESULTS One hundred forty-five subjects completed a 6-12-month follow-up visit, and 77 patients (53.1%) were diagnosed with PSCI. Age (β= 0.065, OR = 1.067, 95% CI = 1.016-1.120), years of education (β= -0.346, OR = 0.707, 95% CI = 0.607-0.824), periventricular hyperintensity grading (β= 1.253, OR = 3.501, 95% CI = 1.652-7.417), diabetes mellitus (β= 1.762, OR = 5.825, 95% CI = 2.068-16.412), and the number of acute nonlacunar infarcts (β= 0.569, OR = 1.766, 95% CI = 1.243-2.510) were independently associated with 6-12 month PSCI, constituting a model with optimal predictive efficiency (AUC = 0.884, 95% CI = 0.832-0.935). CONCLUSIONS The optimized risk model was effective in screening stroke survivors at high risk of developing 6-12 months PSCI in a simple and pragmatic way. It could be a potential tool to identify patients with a high risk of PSCI at an early stage in clinical practice after further independent external cohort validation.
Collapse
Affiliation(s)
- Meng-Yuan Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi Xu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ying-Zhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Pei-Xi Li
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi-Ting Mao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| |
Collapse
|
16
|
Blom-Smink M, Verly M, Spielmann K, Smits M, Ribbers GM, van de Sandt-Koenderman MWME. Change in Right Inferior Longitudinal Fasciculus Integrity Is Associated With Naming Recovery in Subacute Poststroke Aphasia. Neurorehabil Neural Repair 2020; 34:784-794. [PMID: 32672494 DOI: 10.1177/1545968320940982] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background. Despite progress made in understanding functional reorganization patterns underlying recovery in subacute aphasia, the relation between recovery and changes in white matter structure remains unclear. Objective. To investigate changes in dorsal and ventral language white matter tract integrity in relation to naming recovery in subacute poststroke aphasia. Methods. Ten participants with aphasia after left-hemisphere stroke underwent language testing and diffusion tensor imaging twice within 3 months post onset, with a 1-month interval between sessions. Deterministic tractography was used to bilaterally reconstruct the superior longitudinal fasciculus (SLF), inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), middle longitudinal fasciculus (MdLF), and uncinate fasciculus (UF). Per tract, the mean fractional anisotropy (FA) was extracted as a measure of microstructural integrity. Naming accuracy was assessed with the Boston Naming Test (BNT). Correlational analyses were performed to investigate the relationship between changes in FA values and change in BNT score. Results. A strong positive correlation was found between FA change in the right ILF within the ventral stream and change on the BNT (r = 0.91, P < .001). An increase in FA in the right ILF was associated with considerable improvement of naming accuracy (range BNT change score: 12-14), a reduction with limited improvement or slight deterioration. No significant correlations were found between change in naming accuracy and FA change in any of the other right or left ventral and dorsal language tracts. Conclusions. Naming recovery in subacute aphasia is associated with change in the integrity of the right ILF.
Collapse
Affiliation(s)
- Marieke Blom-Smink
- Rijndam Rehabilitation, Rotterdam, The Netherlands.,Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Kerstin Spielmann
- Rijndam Rehabilitation, Rotterdam, The Netherlands.,Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marion Smits
- Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gerard M Ribbers
- Rijndam Rehabilitation, Rotterdam, The Netherlands.,Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | |
Collapse
|
17
|
Sagnier S, Catheline G, Dilharreguy B, Linck PA, Coupé P, Munsch F, Bigourdan A, Debruxelles S, Poli M, Olindo S, Renou P, Rouanet F, Dousset V, Berthoz S, Tourdias T, Sibon I. Normal-Appearing White Matter Integrity Is a Predictor of Outcome After Ischemic Stroke. Stroke 2020; 51:449-456. [PMID: 31906830 DOI: 10.1161/strokeaha.119.026886] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- The aim of the present study was to evaluate the relationship between normal-appearing white matter (NAWM) integrity and postischemic stroke recovery in 4 main domains including cognition, mood, gait, and dependency. Methods- A prospective study was conducted, including patients diagnosed for an ischemic supratentorial stroke on a 3T brain MRI performed 24 to 72 hours after symptom onset. Clinical assessment 1 year after stroke included a Montreal Cognitive Assessment, an Isaacs set test, a Zazzo cancelation task, a Hospital Anxiety and Depression scale, a 10-meter walking test, and a modified Rankin Scale (mRS). Diffusion tensor imaging parameters in the NAWM were computed using FMRIB (Functional Magnetic Resonance Imaging of the Brain) Diffusion Toolbox. The relationships between mean NAWM diffusion tensor imaging parameters and the clinical scores were assessed using linear and ordinal regression analyses, including the volumes of white matter hyperintensities, gray matter, and ischemic stroke as radiological covariates. Results- Two hundred seven subjects were included (66±13 years old; 67% men; median National Institutes of Health Stroke Scale score, 3; interquartile range, 2-6). In the models including only radiological variables, NAWM fractional anisotropy was associated with the mRS and the cognitive scores. After adjusting for demographic confounders, NAWM fractional anisotropy remained a significant predictor of mRS (β=-0.24; P=0.04). Additional path analysis showed that NAWM fractional anisotropy had a direct effect on mRS (β=-0.241; P=0.001) and a less important indirect effect mediating white matter hyperintensity burden. Similar results were found with mean diffusivity, axial diffusivity, and radial diffusivity. In further subgroup analyses, a relationship between NAWM integrity in widespread white matter tracts, mRS, and Isaacs set test was found in right hemispheric strokes. Conclusions- NAWM diffusion tensor imaging parameters measured early after an ischemic stroke are independent predictors of functional outcome and may be additional markers to include in studies evaluating poststroke recovery.
Collapse
Affiliation(s)
- Sharmila Sagnier
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.).,CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Gwenaëlle Catheline
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.)
| | - Bixente Dilharreguy
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.)
| | | | - Pierrick Coupé
- UMR-5800-CNRS, Université de Bordeaux, LaBRI, Talence, France (P.C.)
| | - Fanny Munsch
- Beth Israel Deaconess Medical Center, Harvard University, Boston, MA (F.M.)
| | - Antoine Bigourdan
- CHU de Bordeaux, Neuroradiologie, France (P.-A.L., A.B., V.D., T.T.)
| | - Sabrina Debruxelles
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Mathilde Poli
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Stéphane Olindo
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Pauline Renou
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - François Rouanet
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Vincent Dousset
- CHU de Bordeaux, Neuroradiologie, France (P.-A.L., A.B., V.D., T.T.).,INSERM-U862, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Sylvie Berthoz
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.).,Département de Psychiatrie de l'Adolescent et du Jeune Adulte, Institut Mutualiste Montsouris, Paris, France (S.B.)
| | - Thomas Tourdias
- CHU de Bordeaux, Neuroradiologie, France (P.-A.L., A.B., V.D., T.T.).,INSERM-U862, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Igor Sibon
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.).,CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| |
Collapse
|
18
|
Ingo C, Lin C, Higgins J, Arevalo YA, Prabhakaran S. Diffusion Properties of Normal-Appearing White Matter Microstructure and Severity of Motor Impairment in Acute Ischemic Stroke. AJNR Am J Neuroradiol 2019; 41:71-78. [PMID: 31831465 DOI: 10.3174/ajnr.a6357] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 10/30/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The effect of white matter hyperintensities as measured by FLAIR MR imaging on functional impairment and recovery after ischemic stroke has been investigated thoroughly. However, there has been growing interest in investigating normal-appearing white matter microstructural integrity following ischemic stroke onset with techniques such as DTI. MATERIALS AND METHODS Fifty-two patients with acute ischemic stroke and 36 without stroke were evaluated with a DTI and FLAIR imaging protocol and clinically assessed for the severity of motor impairment using the Motricity Index within 72 hours of suspected symptom onset. RESULTS There were widespread decreases in fractional anisotropy and increases in mean diffusivity and radial diffusivity for the acute stroke group compared with the nonstroke group. There was a significant positive association between fractional anisotropy and motor function and a significant negative association between mean diffusivity/radial diffusivity and motor function. The normal-appearing white matter ROIs that were most sensitive to the Motricity Index were the anterior/posterior limb of the internal capsule in the infarcted hemisphere and the splenium of the corpus callosum, external capsule, posterior limb/retrolenticular part of the internal capsule, superior longitudinal fasciculus, and cingulum (hippocampus) of the intrahemisphere/contralateral hemisphere. CONCLUSIONS The microstructural integrity of normal-appearing white matter is a significant parameter to identify neural differences not only between those individuals with and without acute ischemic stroke but also correlated with the severity of acute motor impairment.
Collapse
Affiliation(s)
- C Ingo
- From the Departments of Neurology (C.I., Y.A.A.) .,Physical Therapy and Human Movement Sciences (C.I.)
| | - C Lin
- Department of Neurology (C.L.), University of Alabama at Birmingham, Birmingham, Alabama
| | - J Higgins
- Radiology (J.H.), Northwestern University, Chicago, Illinois
| | - Y A Arevalo
- From the Departments of Neurology (C.I., Y.A.A.)
| | - S Prabhakaran
- Department of Neurology (S.P.), University of Chicago Medical Center, Chicago, Illinois
| |
Collapse
|
19
|
Jia W, Kamen Y, Pivonkova H, Káradóttir RT. Neuronal activity-dependent myelin repair after stroke. Neurosci Lett 2019; 703:139-144. [PMID: 30904575 DOI: 10.1016/j.neulet.2019.03.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 02/26/2019] [Accepted: 03/04/2019] [Indexed: 01/01/2023]
Abstract
Brain tissue undergoes substantial activity-dependent reorganisation after stroke due to neuronal plasticity, leading to partial functional recovery in patients. Concurrent myelin repair is crucial for proper neuronal network function and reorganisation. Myelin repair after stroke might occur as myelin plasticity or as remyelination through the recruitment and differentiation of oligodendrocyte precursor cells (OPCs), which become myelin-forming oligodendrocytes (OLs). These two processes might share a similar guiding mechanism, which is postulated to depend on neuronal activity and glutamate signaling to OPCs. However, with ageing, the ability of OPCs to differentiate into myelinating OLs decreases due to changes in their ion channel and neurotransmitter receptor expression profile, rendering them less sensitive to neuronal activity. Because of their unique ability to replace damaged OLs, OPCs represent a potential therapeutic target for myelin repair in the context of stroke.
Collapse
Affiliation(s)
- Wanyi Jia
- Wellcome - Medical Research Council Cambridge Stem Cell Institute & Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Yasmine Kamen
- Wellcome - Medical Research Council Cambridge Stem Cell Institute & Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Helena Pivonkova
- Wellcome - Medical Research Council Cambridge Stem Cell Institute & Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Ragnhildur T Káradóttir
- Wellcome - Medical Research Council Cambridge Stem Cell Institute & Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom; Department of Physiology, BioMedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
| |
Collapse
|
20
|
Differences in structural and functional networks between young adult and aged rat brains before and after stroke lesion simulations. Neurobiol Dis 2019; 126:23-35. [DOI: 10.1016/j.nbd.2018.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/17/2018] [Accepted: 08/03/2018] [Indexed: 01/09/2023] Open
|
21
|
Guggisberg AG, Koch PJ, Hummel FC, Buetefisch CM. Brain networks and their relevance for stroke rehabilitation. Clin Neurophysiol 2019; 130:1098-1124. [PMID: 31082786 DOI: 10.1016/j.clinph.2019.04.004] [Citation(s) in RCA: 102] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 03/04/2019] [Accepted: 04/08/2019] [Indexed: 12/21/2022]
Abstract
Stroke has long been regarded as focal disease with circumscribed damage leading to neurological deficits. However, advances in methods for assessing the human brain and in statistics have enabled new tools for the examination of the consequences of stroke on brain structure and function. Thereby, it has become evident that stroke has impact on the entire brain and its network properties and can therefore be considered as a network disease. The present review first gives an overview of current methodological opportunities and pitfalls for assessing stroke-induced changes and reorganization in the human brain. We then summarize principles of plasticity after stroke that have emerged from the assessment of networks. Thereby, it is shown that neurological deficits do not only arise from focal tissue damage but also from local and remote changes in white-matter tracts and in neural interactions among wide-spread networks. Similarly, plasticity and clinical improvements are associated with specific compensatory structural and functional patterns of neural network interactions. Innovative treatment approaches have started to target such network patterns to enhance recovery. Network assessments to predict treatment response and to individualize rehabilitation is a promising way to enhance specific treatment effects and overall outcome after stroke.
Collapse
Affiliation(s)
- Adrian G Guggisberg
- Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital Geneva, Switzerland.
| | - Philipp J Koch
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), Swiss Federal Institute of Technology (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), Swiss Federal Institute of Technology Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Friedhelm C Hummel
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), Swiss Federal Institute of Technology (EPFL), 1202 Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), Swiss Federal Institute of Technology Valais (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland; Department of Clinical Neuroscience, University Hospital Geneva, 1202 Geneva, Switzerland
| | - Cathrin M Buetefisch
- Depts of Neurology, Rehabilitation Medicine, Radiology, Emory University, Atlanta, GA, USA
| |
Collapse
|
22
|
Cognition-related white matter integrity dysfunction in Alzheimer's disease with diffusion tensor image. Brain Res Bull 2018; 143:207-216. [PMID: 30240840 DOI: 10.1016/j.brainresbull.2018.09.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 09/07/2018] [Accepted: 09/16/2018] [Indexed: 12/22/2022]
|
23
|
Abstract
Acute ischemic stroke represents a major cause of long-term adult disability. Accurate prognostication of post-stroke functional outcomes is invaluable in guiding patient care, targeting early rehabilitation efforts, selecting patients for clinical research, and conveying realistic expectations to families. The involvement of specific brain regions by acute ischemia can alter post-stroke recovery potential. Understanding the influences of infarct topography on neurologic outcomes holds significant promise in prognosis of functional recovery. In this review, we discuss the recent evidence of the contribution of infarct location to patient management decisions and functional outcomes after acute ischemic stroke.
Collapse
Affiliation(s)
- Mark R Etherton
- 1 Harvard Medical School, Boston, MA, USA.,2 Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Natalia S Rost
- 1 Harvard Medical School, Boston, MA, USA.,2 Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Ona Wu
- 1 Harvard Medical School, Boston, MA, USA.,3 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| |
Collapse
|
24
|
Sinke MR, Otte WM, van Meer MP, van der Toorn A, Dijkhuizen RM. Modified structural network backbone in the contralesional hemisphere chronically after stroke in rat brain. J Cereb Blood Flow Metab 2018; 38:1642-1653. [PMID: 28604153 PMCID: PMC6120129 DOI: 10.1177/0271678x17713901] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Functional outcome after stroke depends on the local site of ischemic injury and on remote effects within connected networks, frequently extending into the contralesional hemisphere. However, the pattern of large-scale contralesional network remodeling remains largely unresolved. In this study, we applied diffusion-based tractography and graph-based network analysis to measure structural connectivity in the contralesional hemisphere chronically after experimental stroke in rats. We used the minimum spanning tree method, which accounts for variations in network density, for unbiased characterization of network backbones that form the strongest connections in a network. Ultrahigh-resolution diffusion MRI scans of eight post-mortem rat brains collected 70 days after right-sided stroke were compared against scans from 10 control brains. Structural network backbones of the left (contralesional) hemisphere, derived from 42 atlas-based anatomical regions, were found to be relatively stable across stroke and control animals. However, several sensorimotor regions showed increased connection strength after stroke. Sensorimotor function correlated with specific contralesional sensorimotor network backbone measures of global integration and efficiency. Our findings point toward post-stroke adaptive reorganization of the contralesional sensorimotor network with recruitment of distinct sensorimotor regions, possibly through strengthening of connections, which may contribute to functional recovery.
Collapse
Affiliation(s)
- Michel Rt Sinke
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Willem M Otte
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.,2 Department of Pediatric Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maurits Pa van Meer
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Annette van der Toorn
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rick M Dijkhuizen
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| |
Collapse
|
25
|
Yang JH, Lee HD, Kwak SY, Byun KH, Park SH, Yang D. Mechanism of cognitive impairment in chronic patients with putaminal hemorrhage: A diffusion tensor tractography. Medicine (Baltimore) 2018; 97:e11035. [PMID: 30024496 PMCID: PMC6086472 DOI: 10.1097/md.0000000000011035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
It is not clear whether the fornix and cingulum are involved in cognition after putaminal hemorrhage (PH). We investigated structural changes and differences of the neural tracts, and the relationship between the integrity of the neural tracts and cognition not only at the affected but also at the unaffected side.Sixteen patients with left chronic putaminal hemorrhage and 20 healthy volunteers were enrolled. Using diffusion tensor tractography (DTT), we compared fiber number (FN), fractional anisotropy (FA), and apparent diffusion coefficient (ADC) of the neural tracts between patient and control groups. The relationship between the neural tract parameters and neuropsychological results was also analyzed.The left fornix FN was significantly lower than the right fornix FN in the patient group. Except for the cingulum FA, the neural tracts parameters for both the affected and unaffected hemispheres differed significantly between the groups. The fornix FA and ADC at the affected side were significantly correlated with intelligence quotient (IQ), mini-mental status examination (MMSE), and short-term memory. Interestingly, the fornix ADC at the unaffected side was significantly correlated with MMSE. However, none of the cingulum parameters was correlated with neuropsychological results.The fornix integrity is critical for cognitive impairment after putaminal hemorrhage.
Collapse
Affiliation(s)
- Jeong-Hee Yang
- Division of Brain Fusion Research, Biomedical Research Center, Ulsan University Hospital
| | - Han Do Lee
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Taegu
| | - So Young Kwak
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Taegu
| | - Ki Hyun Byun
- Department of Physical Medicine and Rehabilitation, University of Ulsan College of Medicine
| | - Sung Ho Park
- Department of Neurosurgery, Ulsan University Hospital, Ulsan, Republic of Korea
| | - Dongseok Yang
- Department of Physical Medicine and Rehabilitation, University of Ulsan College of Medicine
| |
Collapse
|
26
|
The Relationship between Cerebral White Matter Integrity and Cognitive Function in Mild Stroke with Basal Ganglia Region Infarcts. Sci Rep 2018; 8:8422. [PMID: 29849078 PMCID: PMC5976674 DOI: 10.1038/s41598-018-26316-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 04/04/2018] [Indexed: 12/11/2022] Open
Abstract
Mild stroke is a known risk factor for dementia. The relationship between cerebral white matter (WM) integrity and cognitive impairment (CI) in mild stroke patients with basal ganglia region infarcts is unknown. Total of 33 stroke patients and 19 age-matched controls underwent diffusion tensor imaging scans and a formal neuropsychological test battery. CI was defined as having a performance score 1.5 SD below the established norm. We compared the differences in Z-scores and Fraction Anisotropy (FA) values among controls, stroke with no CI (NCI) and stroke with CI groups. Multiple linear regressions were performed between FA values in affected regions and neuropsychological tests in stroke patients. The majority of stroke patients were in their 50s (56.90 ± 9.23 years). CI patients exhibited a significantly decreased Z score in visual delayed memory and remarkably decreased FA values in the right external capsule and right fornix (FWE-corrected) compared with NCI patients and controls. In stroke patients, the FA value in the right fornix was positively correlated with delayed visual memory. Mild stroke with basal ganglia region infarcts may be related to widespread abnormality of WM integrity. The lower WM integrity in the right fornix may be a marker of impaired delayed visual memory.
Collapse
|
27
|
Aben HP, Reijmer YD, Visser-Meily JM, Spikman JM, de Bresser J, Biessels GJ, de Kort PL. A Role for New Brain Magnetic Resonance Imaging Modalities in Daily Clinical Practice: Protocol of the Prediction of Cognitive Recovery After Stroke (PROCRAS) Study. JMIR Res Protoc 2018; 7:e127. [PMID: 29807883 PMCID: PMC5997934 DOI: 10.2196/resprot.9431] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 03/07/2018] [Accepted: 03/19/2018] [Indexed: 01/02/2023] Open
Abstract
Background Cognitive impairment is common after acute ischemic stroke, affecting up to 75% of the patients. About half of the patients will show recovery, whereas the others will remain cognitively impaired or deteriorate. It is difficult to predict these different cognitive outcomes. Objective The objective of this study is to investigate whether diffusion tensor imaging–based measures of brain connectivity predict cognitive recovery after 1 year, in addition to patient characteristics and stroke severity. A specific premise of the Prediction of Cognitive Recovery After Stroke (PROCRAS) study is that it is conducted in a daily practice setting. Methods The PROCRAS study is a prospective, mono-center cohort study conducted in a large teaching hospital in the Netherlands. A total of 350 patients suffering from an ischemic stroke who screen positive for cognitive impairment on the Montreal Cognitive Assessment (MoCA<26) in the acute stage will undergo a 3Tesla-Magnetic Resonance Imaging (3T-MRI) with a diffusion-weighted sequence and a neuropsychological assessment. Patients will be classified as being unimpaired, as having a mild vascular cognitive disorder, or as having a major vascular cognitive disorder. One year after stroke, patients will undergo follow-up neuropsychological assessment. The primary endpoint is recovery of cognitive function 1 year after stroke in patients with a confirmed poststroke cognitive disorder. The secondary endpoint is deterioration of cognitive function in the first year after stroke. Results The study is already ongoing for 1.5 years, and thus far, 252 patients have provided written informed consent. Final results are expected in June 2019. Conclusions The PROCRAS study will show the additional predictive value of diffusion tensor imaging-based measures of brain connectivity for cognitive outcome at 1 year in patients with a poststroke cognitive disorder in a daily clinical practice setting. Registered Report Identifier RR1-10.2196/9431
Collapse
Affiliation(s)
- Hugo P Aben
- Elisabeth Tweesteden Hospital, Department of Neurology, Tilburg, Netherlands.,Brain Center Rudolf Magnus, Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Yael D Reijmer
- Brain Center Rudolf Magnus, Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Johanna Ma Visser-Meily
- Physical Therapy Science & Sports, Brain Center Rudolf Magnus, Department of Rehabilitation, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jacoba M Spikman
- Department of Clinical and Experimental Neuropsychology, University of Groningen, Groningen, Netherlands
| | - Jeroen de Bresser
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands.,Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Geert Jan Biessels
- Brain Center Rudolf Magnus, Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Paul Lm de Kort
- Elisabeth Tweesteden Hospital, Department of Neurology, Tilburg, Netherlands
| |
Collapse
|
28
|
Kulesh A, Drobakha V, Kuklina E, Nekrasova I, Shestakov V. Cytokine Response, Tract-Specific Fractional Anisotropy, and Brain Morphometry in Post-Stroke Cognitive Impairment. J Stroke Cerebrovasc Dis 2018; 27:1752-1759. [PMID: 29610037 DOI: 10.1016/j.jstrokecerebrovasdis.2018.02.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 01/04/2018] [Accepted: 02/03/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Post-stroke cognitive impairment is a clinically heterogeneous condition and its types have a different course and prognosis. The aim of the present study is to address the roles of inflammation, white matter pathology, and brain atrophy in different neuropsychological types of cognitive impairment in the acute period of ischemic stroke. METHODS In 92 patients, we performed an assessment of the cognitive status and measured concentrations of cytokines (interleukin [IL]-1β, IL-6, tumor necrosis factor-alpha, IL-10) in liquor and serum, as well as a number of magnetic resonance imaging (MRI) morphometric parameters and fractional anisotropy. The control group consisted of 14 individuals without cerebrovascular disease. RESULTS All patients had a higher level of IL-10 in serum than the control group. Patients with dysexecutive cognitive impairment had a higher concentration of IL-1β and IL-10 in liquor, IL-6 level in serum, and a lower fractional anisotropy of the ipsilateral thalamus than patients with normal cognition. Patients with mixed cognitive impairment were characterized by a lower fractional anisotropy of contralateral fronto-occipital fasciculus, compared with patients with dysexecutive cognitive impairment. Patients with both dysexecutive and mixed cognitive deficit had a wide area of leukoaraiosis and a reduced fractional anisotropy of the contralateral cingulum, compared with patients without cognitive impairment. Also, we found numerous correlations between cognitive status and levels of cytokines, MRI morphometric parameters, and fractional anisotropy of certain regions of the brain. CONCLUSIONS The concentrations of cytokines in serum and cerebrospinal fluid studied in combination with MRI morphometric parameters and fractional anisotropy appear to be informative biomarkers of clinical types of post-stroke cognitive impairment.
Collapse
Affiliation(s)
- Aleksey Kulesh
- Perm State Medical University named after academician E.A. Wagner, Department of Neurology, Perm, Russian Federation.
| | - Viktor Drobakha
- Perm State Medical University named after academician E.A. Wagner, Department of Neurology, Perm, Russian Federation
| | - Elena Kuklina
- Institute of Ecology and Genetics of Microorganisms, Ural Branch of the Russian Academy of Sciences, Laboratory of Immunomodulation, Perm, Russian Federation
| | - Irina Nekrasova
- Institute of Ecology and Genetics of Microorganisms, Ural Branch of the Russian Academy of Sciences, Laboratory of Immunomodulation, Perm, Russian Federation
| | - Vladimir Shestakov
- Perm State Medical University named after academician E.A. Wagner, Department of Neurology, Perm, Russian Federation
| |
Collapse
|
29
|
Van Kaam R, van Putten M, Vermeer S, Hofmeijer J. Contralesional Brain Activity in Acute Ischemic Stroke. Cerebrovasc Dis 2018; 45:85-92. [DOI: 10.1159/000486535] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Accepted: 12/20/2017] [Indexed: 11/19/2022] Open
Abstract
Background: The noninjured, contralateral hemisphere is increasingly acknowledged in the process of recovery from acute ischemic stroke. We estimated the value of conventional electroencephalography (EEG) recordings for identifying contralateral hemisphere involvement in relation to functional recovery. Methods: We analyzed 2-min epochs from 21 electrode EEG registrations of 18 patients with acute hemispheric ischemic stroke and compared with 18 age-matched controls. Outcome was dichotomized as good (modified Rankin Scale [mRS] 0–2) or poor (mRS 3–5 or death) at 3 months. Effects of the infarct on the ipsi-and contralateral hemispheres were analyzed by the delta/alpha ratio (DAR) and 2 measures of functional connectivity (magnitude squared coherence [MSC] and weighted phase lag index [WPLI]). Results: DAR was higher in patients than in controls, both in the ipsilateral and in the contralateral hemisphere (median 4.5 ± 6.7 ipsilateral and 2.4 ± 2.0 contralateral vs. 0.5 ± 0.5 in the control group, p < 0.001), indicating robust EEG changes in both lesioned and non-lesioned hemisphere. MSC and WPLI in the alpha and beta frequency bands were lower in patients than in controls in both hemispheres, indicating clear disturbances of functional connectivity (p < 0.05). In the poor outcome group, contralateral MSC and WPLI were lower than in the good outcome group, although these differences did not reach statistical significance. Conclusions: Short conventional EEG measurements show robust changes of brain activity and functional connectivity in both ipsilateral and contralateral hemispheres of patients with acute ischemic stroke. Changes of remote functional connectivity tend to interact with functional recovery. Future studies should estimate predictive values for individual patients and interactions with plasticity enhancing treatments.
Collapse
|
30
|
Nyberg CK, Nordvik JE, Becker F, Rohani DA, Sederevicius D, Fjell AM, Walhovd KB. A longitudinal study of computerized cognitive training in stroke patients – effects on cognitive function and white matter. Top Stroke Rehabil 2018; 25:241-247. [DOI: 10.1080/10749357.2018.1443570] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Claudia Kim Nyberg
- Sunnaas Rehabilitation Hospital, Nesoddtangen, Norway
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Frank Becker
- Sunnaas Rehabilitation Hospital, Nesoddtangen, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Darius A. Rohani
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Donatas Sederevicius
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders M. Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristine B. Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| |
Collapse
|
31
|
Recent Advances in Leukoaraiosis: White Matter Structural Integrity and Functional Outcomes after Acute Ischemic Stroke. Curr Cardiol Rep 2017; 18:123. [PMID: 27796861 DOI: 10.1007/s11886-016-0803-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Leukoaraiosis, a radiographic marker of cerebral small vessel disease detected on T2-weighted brain magnetic resonance imaging (MRI) as white matter hyperintensity (WMH), is a key contributor to the risk and severity of acute cerebral ischemia. Prior investigations have emphasized the pathophysiology of WMH development and progression; however, more recently, an association between WMH burden and functional outcomes after stroke has emerged. There is growing evidence that WMH represents macroscopic injury to the white matter and that the extent of WMH burden on MRI influences functional recovery in multiple domains following acute ischemic stroke (AIS). In this review, we discuss the current understanding of WMH pathogenesis and its impact on AIS and functional recovery.
Collapse
|
32
|
Liu J, Wang Q, Liu F, Song H, Liang X, Lin Z, Hong W, Yang S, Huang J, Zheng G, Tao J, Chen LD. Altered functional connectivity in patients with post-stroke memory impairment: A resting fMRI study. Exp Ther Med 2017; 14:1919-1928. [PMID: 28962104 PMCID: PMC5609161 DOI: 10.3892/etm.2017.4751] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Accepted: 02/17/2017] [Indexed: 11/20/2022] Open
Abstract
Post-stroke memory dysfunction (PMD) is one of the most common forms of cognitive impairment among stroke survivors. However, only a limited number of studies have directly investigated the neural mechanisms associated with memory decline. The aim of the present study was to identify dynamic changes in the functional organization of the default mode network (DMN) and the dorsal attention network of patients with PMD. A total of 27 patients with PMD who experienced a stroke in the right hemisphere were enrolled in the current study, along with 27 healthy control subjects matched by age, sex, and educational level. A behavioral examination and functional magnetic resonance imaging scan were performed. The data were analyzed using an independent component analysis method. The results revealed a significantly increased functional connectivity between the DMN and prefrontal cortex (left middle/inferior frontal and left precentral gyri), temporal regions (left superior temporal gyrus), and bilateral and posterior cingulate gyri/precuneus (P<0.001). There was also a significantly decreased functional connectivity between the DMN and right middle temporal gyrus, left uvula, and right inferior parietal lobule, and between the dorsal attention network and prefrontal cortex (left precentral/inferior and right inferior/middle frontal gyri), right inferior parietal gyrus, and right insula (P<0.001). These results suggest that the stroke affected both the lesioned and contralesional hemispheres. The prefrontal cortex, temporal regions, insula, and posterior cingulate gyrus/precuneus serve a crucial role in memory processing.
Collapse
Affiliation(s)
- Jiao Liu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China.,Fujian Rehabilitation Tech Co-innovation Center, Fuzhou, Fujian 350122, P.R. China
| | - Qin Wang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Feiwen Liu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Haiyan Song
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Xiaofeng Liang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Zhengkun Lin
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Wenjun Hong
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Shanli Yang
- Fujian University of Traditional Chinese Medicine Subsidiary Rehabilitation Hospital, Fuzhou, Fujian 350003, P.R. China
| | - Jia Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China.,Fujian Rehabilitation Tech Co-innovation Center, Fuzhou, Fujian 350122, P.R. China
| | - Guohua Zheng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
| | - Jing Tao
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China.,Key Laboratory of Motor Rehabilitation of Fujian, Fuzhou, Fujian 350003, P.R. China.,Fujian Provincial Rehabilitation Industrial Institution, Fuzhou, Fujian 350000, P.R. China
| | - Li-Dian Chen
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China.,Key Laboratory of Motor Rehabilitation of Fujian, Fuzhou, Fujian 350003, P.R. China.,Fujian Provincial Rehabilitation Industrial Institution, Fuzhou, Fujian 350000, P.R. China
| |
Collapse
|
33
|
Etherton MR, Wu O, Cougo P, Giese AK, Cloonan L, Fitzpatrick KM, Kanakis AS, Boulouis G, Karadeli HH, Lauer A, Rosand J, Furie KL, Rost NS. Integrity of normal-appearing white matter and functional outcomes after acute ischemic stroke. Neurology 2017; 88:1701-1708. [PMID: 28381507 DOI: 10.1212/wnl.0000000000003890] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 02/06/2017] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE To characterize the effect of white matter microstructural integrity on cerebral tissue and long-term functional outcomes after acute ischemic stroke (AIS). METHODS Consecutive AIS patients with brain MRI acquired within 48 hours of symptom onset and 90-day modified Rankin Scale (mRS) score were included. Acute infarct volume on diffusion-weighted imaging (DWIv) and white matter hyperintensity volume (WMHv) on T2 fluid-attenuated inversion recovery MRI were measured. Median fractional anisotropy (FA), mean diffusivity, radial diffusivity, and axial diffusivity values were calculated within normal-appearing white matter (NAWM) in the hemisphere contralateral to the acute lesion. Regression models were used to assess the association between diffusivity metrics and acute cerebral tissue and long-term functional outcomes in AIS. Level of significance was set at p < 0.05 for all analyses. RESULTS Among 305 AIS patients with DWIv and mRS score, mean age was 64.4 ± 15.9 years, and 183 participants (60%) were male. Median NIH Stroke Scale (NIHSS) score was 3 (interquartile range [IQR] 1-8), and median normalized WMHv was 6.19 cm3 (IQR 3.0-12.6 cm3). Admission stroke severity (β = 0.16, p < 0.0001) and small vessel stroke subtype (β = -1.53, p < 0.0001), but not diffusivity metrics, were independently associated with DWIv. However, median FA in contralesional NAWM was independently associated with mRS score (β = -9.74, p = 0.02), along with age, female sex, NIHSS score, and DWIv. CONCLUSIONS FA decrease in NAWM contralateral to the acute infarct is associated with worse mRS category at 90 days after stroke. These data suggest that white matter integrity may contribute to functional recovery after stroke.
Collapse
Affiliation(s)
- Mark R Etherton
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence.
| | - Ona Wu
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Pedro Cougo
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Anne-Katrin Giese
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Lisa Cloonan
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Kaitlin M Fitzpatrick
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Allison S Kanakis
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Gregoire Boulouis
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Hasan H Karadeli
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Arne Lauer
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Jonathan Rosand
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Karen L Furie
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| | - Natalia S Rost
- From the J. Philip Kistler Stroke Research Center (M.R.E., O.W., P.C., A.-K.G., L.C., K.M.F., A.S.K., G.B., H.H.K., A.L., N.S.R.), Department of Neurology, and Athinoula A. Martinos Center for Biomedical Imaging (O.W.), Department of Radiology, Massachusetts General Hospital and Harvard Medical School; Division of Neurocritical Care and Emergency Neurology (J.R.), Department of Neurology and Center for Human Genetic Research, Massachusetts General Hospital, Boston; and Department of Neurology (K.L.F.), Rhode Island Hospital, Alpert Medical School of Brown University, Providence
| |
Collapse
|
34
|
Weiss Lucas C, Tursunova I, Neuschmelting V, Nettekoven C, Oros-Peusquens AM, Stoffels G, Faymonville AM, Jon SN, Langen KJ, Lockau H, Goldbrunner R, Grefkes C. Functional MRI vs. navigated TMS to optimize M1 seed volume delineation for DTI tractography. A prospective study in patients with brain tumours adjacent to the corticospinal tract. NEUROIMAGE-CLINICAL 2016; 13:297-309. [PMID: 28050345 PMCID: PMC5192048 DOI: 10.1016/j.nicl.2016.11.022] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 11/18/2016] [Accepted: 11/19/2016] [Indexed: 01/01/2023]
Abstract
BACKGROUND DTI-based tractography is an increasingly important tool for planning brain surgery in patients suffering from brain tumours. However, there is an ongoing debate which tracking approaches yield the most valid results. Especially the use of functional localizer data such as navigated transcranial magnetic stimulation (nTMS) or functional magnetic resonance imaging (fMRI) seem to improve fibre tracking data in conditions where anatomical landmarks are less informative due to tumour-induced distortions of the gyral anatomy. We here compared which of the two localizer techniques yields more plausible results with respect to mapping different functional portions of the corticospinal tract (CST) in brain tumour patients. METHODS The CSTs of 18 patients with intracranial tumours in the vicinity of the primary motor area (M1) were investigated by means of deterministic DTI. The core zone of the tumour-adjacent hand, foot and/or tongue M1 representation served as cortical regions of interest (ROIs). M1 core zones were defined by both the nTMS hot-spots and the fMRI local activation maxima. In addition, for all patients, a subcortical ROI at the level of the inferior anterior pons was implemented into the tracking algorithm in order to improve the anatomical specificity of CST reconstructions. As intra-individual control, we additionally tracked the CST of the hand motor region of the unaffected, i.e., non-lesional hemisphere, again comparing fMRI and nTMS M1 seeds. The plausibility of the fMRI-ROI- vs. nTMS-ROI-based fibre trajectories was assessed by a-priori defined anatomical criteria. Moreover, the anatomical relationship of different fibre courses was compared regarding their distribution in the anterior-posterior direction as well as their location within the posterior limb of the internal capsule (PLIC). RESULTS Overall, higher plausibility rates were observed for the use of nTMS- as compared to fMRI-defined cortical ROIs (p < 0.05) in tumour vicinity. On the non-lesional hemisphere, however, equally good plausibility rates (100%) were observed for both localizer techniques. fMRI-originated fibres generally followed a more posterior course relative to the nTMS-based tracts (p < 0.01) in both the lesional and non-lesional hemisphere. CONCLUSION NTMS achieved better tracking results than fMRI in conditions when the cortical tract origin (M1) was located in close vicinity to a brain tumour, probably influencing neurovascular coupling. Hence, especially in situations with altered BOLD signal physiology, nTMS seems to be the method of choice in order to identify seed regions for CST mapping in patients.
Collapse
Key Words
- APB, Abductor pollicis brevis muscle
- BOLD, Blood-oxygenation-level dependent
- CST
- CST, Corticospinal tract
- DCS, Direct cortical stimulation
- DTI, Diffusion tensor imaging
- Deterministic
- EF, Electric field
- EMG, Electromyography
- FA(T), Fractional anisotropy (threshold)
- FACT, Fibre assignment by continuous tracking
- FOV, Field-of-view
- FWE, Family-wise error
- KPS, Karnofsky performance scale
- LT, Lateral tongue muscle, anterior third
- M1, Primary motor cortex
- MEP, Motor-evoked potential
- MFL, Minimal fibre length
- MPRAGE, Magnetization prepared rapid acquisition gradient echo (T1 MR seq.)
- OR, Odd's ratio
- PLIC, Posterior limb of the internal capsule
- PM, Plantar muscle
- Pyramidal tract
- RMT, Resting motor threshold
- ROI
- ROI, Region-of-interest
- SD, Standard deviation
- SE, Standard error
- Somatotopic
- X-sq, X-squared (Pearson's chi-square test)
- dMRI, Diffusion magnetic resonance imaging (i.e., diffusion-weighted imaging, DWI)
- fMRI
- fMRI, Functional magnetic resonance imaging
- nTMS
- nTMS, Neuronavigated transcranial magnetic stimulation
- pxsq, p-value according to Pearson's chi-square test
Collapse
Affiliation(s)
| | - Irada Tursunova
- University of Cologne, Center of Neurosurgery, 50924 Cologne, Germany
| | | | | | | | - Gabriele Stoffels
- Institute of Neuroscience and Medicine, Research Centre Jülich, 52425 Jülich, Germany
| | | | - Shah N Jon
- Institute of Neuroscience and Medicine, Research Centre Jülich, 52425 Jülich, Germany; RWTH Aachen University, University Clinic Aachen, Departments of Nuclear Medicine and Neurology, 52074 Aachen, Germany; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Victoria, Australia; Monash Institute of Medical Engineering, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Karl Josef Langen
- Institute of Neuroscience and Medicine, Research Centre Jülich, 52425 Jülich, Germany; RWTH Aachen University, University Clinic Aachen, Departments of Nuclear Medicine and Neurology, 52074 Aachen, Germany
| | - Hannah Lockau
- University of Cologne, Department of Radiology, 50937 Cologne, Germany
| | | | - Christian Grefkes
- Institute of Neuroscience and Medicine, Research Centre Jülich, 52425 Jülich, Germany; University of Cologne, Department of Neurology, 50924 Cologne, Germany
| |
Collapse
|
35
|
Schaapsmeerders P, Tuladhar AM, Arntz RM, Franssen S, Maaijwee NA, Rutten-Jacobs LC, Schoonderwaldt HC, Dorresteijn LD, van Dijk EJ, Kessels RP, de Leeuw FE. Remote Lower White Matter Integrity Increases the Risk of Long-Term Cognitive Impairment After Ischemic Stroke in Young Adults. Stroke 2016; 47:2517-25. [DOI: 10.1161/strokeaha.116.014356] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 08/05/2016] [Indexed: 12/16/2022]
Abstract
Background and Purpose—
Poststroke cognitive impairment occurs frequently in young patients with ischemic stroke (18 through 50 years of age). Accumulating data suggest that stroke is associated with lower white matter integrity remote from the stroke impact area, which might explain why some patients have good long-term cognitive outcome and others do not. Given the life expectancy of decades in young patients, we therefore investigated remote white matter in relation to long-term cognitive function.
Methods—
We included all consecutive first-ever ischemic stroke patients, left/right hemisphere, without recurrent stroke or transient ischemic attack during follow-up, aged 18 through 50 years, admitted to our university medical center between 1980 and 2010. One hundred seventeen patients underwent magnetic resonance imaging scanning including a T1-weighted scan, a diffusion tensor imaging scan, and completed a neuropsychological assessment. Patients were compared with a matched stroke-free control group (age, sex, and education matched). Cognitive impairment was defined as >1.5 SD below the mean cognitive index score of controls and no cognitive impairment as ≤1 SD. Tract-Based Spatial Statistics was used to assess the white matter integrity (fractional anisotropy and mean diffusivity).
Results—
About 11 years after ischemic stroke, lower remote white matter integrity was associated with a worse long-term cognitive performance. A lower remote white matter integrity, even in the contralesional hemisphere, was observed in cognitively impaired patients (n=25) compared with cognitively unimpaired patients (n=71).
Conclusions—
These findings indicate that although stroke has an acute onset, it might have long lasting effects on remote white matter integrity and thereby increases the risk of long-term cognitive impairment.
Collapse
Affiliation(s)
- Pauline Schaapsmeerders
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Anil M. Tuladhar
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Renate M. Arntz
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Sieske Franssen
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Noortje A.M. Maaijwee
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Loes C.A. Rutten-Jacobs
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Hennie C. Schoonderwaldt
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Lucille D.A. Dorresteijn
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Ewoud J. van Dijk
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Roy P.C. Kessels
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| | - Frank-Erik de Leeuw
- From the Departments of Neurology (P.S., A.M.T., R.M.A., S.F., N.A.M.M., H.C.S., E.J.v.D., F.-E.d.L.) and Medical Psychology (R.P.C.K.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands; Department of Clinical Neurosciences, University of Cambridge, United Kingdom (L.C.A.R.-J.); and Department of Neurology, Medisch Spectrum Twente, Enschede, The Netherlands (L.D.A.D.)
| |
Collapse
|
36
|
Wang Y, Liu G, Hong D, Chen F, Ji X, Cao G. White matter injury in ischemic stroke. Prog Neurobiol 2016; 141:45-60. [PMID: 27090751 PMCID: PMC5677601 DOI: 10.1016/j.pneurobio.2016.04.005] [Citation(s) in RCA: 183] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 04/01/2016] [Accepted: 04/10/2016] [Indexed: 02/06/2023]
Abstract
Stroke is one of the major causes of disability and mortality worldwide. It is well known that ischemic stroke can cause gray matter injury. However, stroke also elicits profound white matter injury, a risk factor for higher stroke incidence and poor neurological outcomes. The majority of damage caused by stroke is located in subcortical regions and, remarkably, white matter occupies nearly half of the average infarct volume. Indeed, white matter is exquisitely vulnerable to ischemia and is often injured more severely than gray matter. Clinical symptoms related to white matter injury include cognitive dysfunction, emotional disorders, sensorimotor impairments, as well as urinary incontinence and pain, all of which are closely associated with destruction and remodeling of white matter connectivity. White matter injury can be noninvasively detected by MRI, which provides a three-dimensional assessment of its morphology, metabolism, and function. There is an urgent need for novel white matter therapies, as currently available strategies are limited to preclinical animal studies. Optimal protection against ischemic stroke will need to encompass the fortification of both gray and white matter. In this review, we discuss white matter injury after ischemic stroke, focusing on clinical features and tools, such as imaging, manifestation, and potential treatments. We also briefly discuss the pathophysiology of WMI and future research directions.
Collapse
Affiliation(s)
- Yuan Wang
- Department of Neurology, Xuanwu Hospital, Capital University of Medicine, Beijing 100053, China
| | - Gang Liu
- Department of Neurology, Xuanwu Hospital, Capital University of Medicine, Beijing 100053, China
| | - Dandan Hong
- Department of Bioengineering, University of Pittsburgh School of Engineering, United States
| | - Fenghua Chen
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, United States
| | - Xunming Ji
- Department of Neurosurgery, Xuanwu Hospital, Capital University of Medicine, Beijing 100053, China.
| | - Guodong Cao
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, United States; Geriatric Research Education and Clinical Centers, VA Pittsburgh Healthcare System, Pittsburgh, PA 15240, United States.
| |
Collapse
|
37
|
Potter-Baker KA, Varnerin NM, Cunningham DA, Roelle SM, Sankarasubramanian V, Bonnett CE, Machado AG, Conforto AB, Sakaie K, Plow EB. Influence of Corticospinal Tracts from Higher Order Motor Cortices on Recruitment Curve Properties in Stroke. Front Neurosci 2016; 10:79. [PMID: 27013942 PMCID: PMC4781847 DOI: 10.3389/fnins.2016.00079] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 02/18/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Recruitment curves (RCs) acquired using transcranial magnetic stimulation are commonly used in stroke to study physiologic functioning of corticospinal tracts (CST) from M1. However, it is unclear whether CSTs from higher motor cortices contribute as well. OBJECTIVE To explore whether integrity of CST from higher motor areas, besides M1, relates to CST functioning captured using RCs. METHODS RCs were acquired for a paretic hand muscle in patients with chronic stroke. Metrics describing gain and overall output of CST were collected. CST integrity was defined by diffusion tensor imaging. For CST emerging from M1 and higher motor areas, integrity (fractional anisotropy) was evaluated in the region of the posterior limb of the internal capsule, the length of CST and in the region of the stroke lesion. RESULTS We found that output and gain of RC was related to integrity along the length of CST emerging from higher motor cortices but not the M1. CONCLUSIONS Our results suggest that RC parameters in chronic stroke infer function primarily of CST descending from the higher motor areas but not M1. RCs may thus serve as a simple, in-expensive means to assess re-mapping of alternate areas that is generally studied with resource-intensive neuroimaging in stroke.
Collapse
Affiliation(s)
- Kelsey A Potter-Baker
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation Cleveland, OH, USA
| | - Nicole M Varnerin
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation Cleveland, OH, USA
| | - David A Cunningham
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic FoundationCleveland, OH, USA; School of Biomedical Sciences, Department of Neuroscience, Kent State UniversityKent, OH, USA
| | - Sarah M Roelle
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation Cleveland, OH, USA
| | | | - Corin E Bonnett
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation Cleveland, OH, USA
| | - Andre G Machado
- Center for Neurological Restoration, Neurosurgery, Neurological Institute, Cleveland Clinic Foundation Cleveland, OH, USA
| | - Adriana B Conforto
- Neurology Clinical Division, Neurology Department, Clinics Hospital, São Paulo UniversitySão Paulo, Brazil; Hospital Israelita Albert EinsteinSão Paulo, Brazil
| | - Ken Sakaie
- Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic Foundation Cleveland, OH, USA
| | - Ela B Plow
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic FoundationCleveland, OH, USA; Center for Neurological Restoration, Neurosurgery, Neurological Institute, Cleveland Clinic FoundationCleveland, OH, USA; Department of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic FoundationCleveland, OH, USA
| |
Collapse
|
38
|
Lim JS, Kang DW. Stroke Connectome and Its Implications for Cognitive and Behavioral Sequela of Stroke. J Stroke 2015; 17:256-67. [PMID: 26437992 PMCID: PMC4635721 DOI: 10.5853/jos.2015.17.3.256] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 09/10/2015] [Accepted: 09/17/2015] [Indexed: 12/21/2022] Open
Abstract
Systems-based approaches to neuroscience, using network analysis and the human connectome, have been adopted by many researchers by virtue of recent progress in neuroimaging and computational technologies. Various neurological disorders have been evaluated from a network perspective, including stroke, Alzheimer’s disease, Parkinson’s disease, and traumatic brain injury. Until now, dynamic processes after stroke and during recovery were investigated through multimodal neuroimaging techniques. Many studies have shown disruptions in structural and functional connectivity, including in large-scale neural networks, in patients with stroke sequela such as motor weakness, aphasia, hemianopia, neglect, and general cognitive dysfunction. A connectome-based approach might shed light on the underlying mechanisms of stroke sequela and the recovery process, and could identify candidates for individualized rehabilitation programs. In this review, we briefly outline the basic concepts of structural and functional connectivity, and the connectome. Then, we explore current evidence regarding how stroke lesions cause changes in connectivity and network architecture parameters. Finally, the clinical implications of perspectives on the connectome are discussed in relation to the cognitive and behavioral sequela of stroke.
Collapse
Affiliation(s)
- Jae-Sung Lim
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Dong-Wha Kang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| |
Collapse
|
39
|
Bioinspired and knowledge based techniques and applications. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2014.09.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
40
|
Lunven M, Thiebaut De Schotten M, Bourlon C, Duret C, Migliaccio R, Rode G, Bartolomeo P. White matter lesional predictors of chronic visual neglect: a longitudinal study. ACTA ACUST UNITED AC 2015; 138:746-60. [PMID: 25609686 DOI: 10.1093/brain/awu389] [Citation(s) in RCA: 155] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Chronic visual neglect prevents brain-damaged patients from returning to an independent and active life. Detecting predictors of persistent neglect as early as possible after the stroke is therefore crucial to plan the relevant interventions. Neglect signs do not only depend on focal brain lesions, but also on dysfunction of large-scale brain networks connected by white matter bundles. We explored the relationship between markers of axonal degeneration occurring after the stroke and visual neglect chronicity. A group of 45 patients with unilateral strokes in the right hemisphere underwent cognitive testing for neglect twice, first at the subacute phase (<3 months after onset) and then at the chronic phase (>1 year). For each patient, magnetic resonance imaging including diffusion sequences was performed at least 4 months after the stroke. After masking each patient's lesion, we used tract-based spatial statistics to obtain a voxel-wise statistical analysis of the fractional anisotropy data. Twenty-seven patients had signs of visual neglect at initial testing. Only 10 of these patients had recovered from neglect at follow-up. When compared with patients without neglect, the group including all subacute neglect patients had decreased fractional anisotropy in the second (II) and third (III) branches of the right superior longitudinal fasciculus, as well as in the splenium of the corpus callosum. The subgroup of chronic patients showed reduced fractional anisotropy in a portion the splenium, the forceps major, which provides interhemispheric communication between regions of the occipital lobe and of the superior parietal lobules. The severity of neglect correlated with fractional anisotropy values in superior longitudinal fasciculus II/III for subacute patients and in its caudal portion for chronic patients. Our results confirm a key role of fronto-parietal disconnection in the emergence and chronic persistence of neglect, and demonstrate an implication of caudal interhemispheric disconnection in chronic neglect. Splenial disconnection may prevent fronto-parietal networks in the left hemisphere from resolving the activity imbalance with their right hemisphere counterparts, thus leading to persistent neglect.
Collapse
Affiliation(s)
- Marine Lunven
- 1 INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), F-75013 Paris, France 2 Service de Médecine Physique et Réadaptation, Unité de Rééducation Neurologique CRF 'Les Trois Soleils' Boissise le Roi, France 3 Inserm UMR_S 1028, CNRS UMR 5292, ImpAct, centre des neurosciences de Lyon, université Lyon-1, 16, avenue Lépine 69676 Bron, France
| | - Michel Thiebaut De Schotten
- 1 INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), F-75013 Paris, France 4 Natbrainlab, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, King's College London, UK
| | - Clémence Bourlon
- 2 Service de Médecine Physique et Réadaptation, Unité de Rééducation Neurologique CRF 'Les Trois Soleils' Boissise le Roi, France
| | - Christophe Duret
- 2 Service de Médecine Physique et Réadaptation, Unité de Rééducation Neurologique CRF 'Les Trois Soleils' Boissise le Roi, France
| | - Raffaella Migliaccio
- 1 INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), F-75013 Paris, France 5 AP-HP, Department of Neurology, IFR 70, Salpêtrière Hospital, Paris, France
| | - Gilles Rode
- 3 Inserm UMR_S 1028, CNRS UMR 5292, ImpAct, centre des neurosciences de Lyon, université Lyon-1, 16, avenue Lépine 69676 Bron, France 6 Service de médecine physique et réadaptation neurologique, hospital Henry-Gabrielle, hospice civils de Lyon, 20, route de Vourles, Saint-Genis-Laval, France
| | - Paolo Bartolomeo
- 1 INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), F-75013 Paris, France 5 AP-HP, Department of Neurology, IFR 70, Salpêtrière Hospital, Paris, France 7 Department of Psychology, Catholic University, Milan, Italy
| |
Collapse
|
41
|
Weiss C, Tursunova I, Neuschmelting V, Lockau H, Nettekoven C, Oros-Peusquens AM, Stoffels G, Rehme AK, Faymonville AM, Shah NJ, Langen KJ, Goldbrunner R, Grefkes C. Improved nTMS- and DTI-derived CST tractography through anatomical ROI seeding on anterior pontine level compared to internal capsule. NEUROIMAGE-CLINICAL 2015; 7:424-37. [PMID: 25685709 PMCID: PMC4314616 DOI: 10.1016/j.nicl.2015.01.006] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 01/07/2015] [Accepted: 01/08/2015] [Indexed: 12/16/2022]
Abstract
Imaging of the course of the corticospinal tract (CST) by diffusion tensor imaging (DTI) is useful for function-preserving tumour surgery. The integration of functional localizer data into tracking algorithms offers to establish a direct structure–function relationship in DTI data. However, alterations of MRI signals in and adjacent to brain tumours often lead to spurious tracking results. We here compared the impact of subcortical seed regions placed at different positions and the influences of the somatotopic location of the cortical seed and clinical co-factors on fibre tracking plausibility in brain tumour patients. The CST of 32 patients with intracranial tumours was investigated by means of deterministic DTI and neuronavigated transcranial magnetic stimulation (nTMS). The cortical seeds were defined by the nTMS hot spots of the primary motor area (M1) of the hand, the foot and the tongue representation. The CST originating from the contralesional M1 hand area was mapped as intra-individual reference. As subcortical region of interests (ROI), we used the posterior limb of the internal capsule (PLIC) and/or the anterior inferior pontine region (aiP). The plausibility of the fibre trajectories was assessed by a-priori defined anatomical criteria. The following potential co-factors were analysed: Karnofsky Performance Scale (KPS), resting motor threshold (RMT), T1-CE tumour volume, T2 oedema volume, presence of oedema within the PLIC, the fractional anisotropy threshold (FAT) to elicit a minimum amount of fibres and the minimal fibre length. The results showed a higher proportion of plausible fibre tracts for the aiP-ROI compared to the PLIC-ROI. Low FAT values and the presence of peritumoural oedema within the PLIC led to less plausible fibre tracking results. Most plausible results were obtained when the FAT ranged above a cut-off of 0.105. In addition, there was a strong effect of somatotopic location of the seed ROI; best plausibility was obtained for the contralateral hand CST (100%), followed by the ipsilesional hand CST (>95%), the ipsilesional foot (>85%) and tongue (>75%) CST. In summary, we found that the aiP-ROI yielded better tracking results compared to the IC-ROI when using deterministic CST tractography in brain tumour patients, especially when the M1 hand area was tracked. In case of FAT values lower than 0.10, the result of the respective CST tractography should be interpreted with caution with respect to spurious tracking results. Moreover, the presence of oedema within the internal capsule should be considered a negative predictor for plausible CST tracking. Somatotopic CST tractography was done in 32 patients with eloquent brain tumours. Seeding ROIs were defined by navigated TMS of the M1 hot spot (hand, foot, tongue). Using the anterior pons as a second ROI yielded more plausible tracts than the PLIC. Low FAT and oedema of the internal capsule were negative predictors.
Collapse
Key Words
- ANOVA, analysis of variance
- APB, abductor pollicis brevis muscle
- AUC, area under the curve
- BOLD, blood oxygenation level dependent
- CST
- CST, corticospinal tract
- DTI
- DTI, diffusion tensor imaging
- FA(T), fractional anisotropy (threshold)
- FACT, fibre assignment by continuous tracking
- FMRI, functional magnetic resonance imaging
- FOV, field-of-view
- FWE, family-wise error
- Fractional anisotropy
- KPS, Karnofsky performance scale
- LDA/C, linear discriminant analysis/coefficient
- LT, lateral tongue muscle, anterior third
- M1, primary motor cortex
- MEP, motor evoked potential
- MFL, minimal fibre length
- MPRAGE, magnetization prepared rapid acquisition gradient echo (T1 MR sequence)
- OR, odd's ratio
- PLIC, posterior limb of the internal capsule
- PM, plantar muscle
- RMT, resting motor threshold
- ROI
- ROI, region-of-interest
- SD, standard deviation
- SE, standard error
- Somatotopic
- X-sq, X-squared (Pearson's chi-square test)
- aiP, anterior inferior pons
- nTMS
- nTMS, neuronavigated transcranial magnetic stimulation
- pxsq, p-value according to Pearson's chi-square test.
Collapse
Affiliation(s)
- Carolin Weiss
- Department of Neurosurgery, University of Cologne, Cologne 50924, Germany
| | - Irada Tursunova
- Department of Neurosurgery, University of Cologne, Cologne 50924, Germany ; Department of Neurosurgery, University of Cologne, Cologne 50924, Germany
| | | | - Hannah Lockau
- Department of Radiology, University of Cologne, Cologne 50937, Germany
| | - Charlotte Nettekoven
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany
| | | | - Gabriele Stoffels
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany
| | - Anne K Rehme
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany ; Department of Neurology, University of Cologne, Cologne 50924, Germany
| | | | - N Jon Shah
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany ; Department of Neurology, University Clinic Aachen, RWTH Aachen University, Aachen 52074, Germany
| | - Karl Josef Langen
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany
| | - Roland Goldbrunner
- Department of Neurosurgery, University of Cologne, Cologne 50924, Germany
| | - Christian Grefkes
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany ; Department of Neurology, University of Cologne, Cologne 50924, Germany
| |
Collapse
|
42
|
Chen H, Wang K, Yao J, Dai J, Ma J, Li S, Ai L, Chen Q, Chen X, Zhang Y. White Matter Changes in Alzheimer’s Disease Revealed by Diffusion Tensor Imaging with TBSS. ACTA ACUST UNITED AC 2015. [DOI: 10.4236/wjns.2015.51007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
|
43
|
Dacosta-Aguayo R, Graña M, Iturria-Medina Y, Fernández-Andújar M, López-Cancio E, Cáceres C, Bargalló N, Barrios M, Clemente I, Toran P, Forés R, Dávalos A, Auer T, Mataró M. Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke. Hum Brain Mapp 2014; 36:577-90. [PMID: 25324040 PMCID: PMC4312977 DOI: 10.1002/hbm.22648] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2014] [Revised: 08/14/2014] [Accepted: 09/23/2014] [Indexed: 01/05/2023] Open
Abstract
Resting‐state studies conducted with stroke patients are scarce. The study of brain activity and connectivity at rest provides a unique opportunity for the investigation of brain rewiring after stroke and plasticity changes. This study sought to identify dynamic changes in the functional organization of the default mode network (DMN) of stroke patients at three months after stroke. Eleven patients (eight male and three female; age range: 48–72) with right cortical and subcortical ischemic infarctions and 17 controls (eleven males and six females; age range: 57–69) were assessed by neurological and neuropsychological examinations and scanned with resting‐state functional magnetic ressonance imaging. First, we explored group differences in functional activity within the DMN by means of probabilistic independent component analysis followed by a dual regression approach. Second, we estimated functional connectivity between 11 DMN nodes both locally by means of seed‐based connectivity analysis, as well as globally by means of graph‐computation analysis. We found that patients had greater DMN activity in the left precuneus and the left anterior cingulate gyrus when compared with healthy controls (P < 0.05 family‐wise error corrected). Seed‐based connectivity analysis showed that stroke patients had significant impairment (P = 0.014; threshold = 2.00) in the connectivity between the following five DMN nodes: left superior frontal gyrus (lSFG) and posterior cingulate cortex (t = 2.01); left parahippocampal gyrus and right superior frontal gyrus (t = 2.11); left parahippocampal gyrus and lSFG (t = 2.39); right parietal and lSFG (t = 2.29). Finally, mean path length obtained from graph‐computation analysis showed positive correlations with semantic fluency test (rs = 0.454; P = 0.023), phonetic fluency test (rs = 0.523; P = 0.007) and the mini mental state examination (rs = 0.528; P = 0.007). In conclusion, the ability to regulate activity of the DMN appears to be a central part of normal brain function in stroke patients. Our study expands the understanding of the changes occurring in the brain after stroke providing a new avenue for investigating lesion‐induced network plasticity. Hum Brain Mapp 36:577–590, 2015. © 2014 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Rosalia Dacosta-Aguayo
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain; Group of Computational Intelligence, Department of CCIA, University of the Basque Country UPV/EHU, San Sebastian, Spain
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Acupuncture Induces Time-Dependent Remodelling Brain Network on the Stable Somatosensory First-Ever Stroke Patients: Combining Diffusion Tensor and Functional MR Imaging. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2014; 2014:740480. [PMID: 25101136 PMCID: PMC4101930 DOI: 10.1155/2014/740480] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2014] [Accepted: 05/08/2014] [Indexed: 01/13/2023]
Abstract
Different treatment interventions induce distinct remodelling of network architecture of entire motor system. Acupuncture has been proved to be of a promising efficacy in motor recovery. However, it is still unclear whether the reorganization of motor-related brain network underlying acupuncture is related with time since stroke and severity of deficit at baseline. The aim of study was to characterize the relation between motor-related brain organization following acupuncture and white matter microstructural changes at an interval of two weeks. We demonstrated that acupuncture induced differential reorganization of motor-related network for stroke patients as time-lapse since stroke. At the baseline, acupuncture can induce the increased functional connectivity between the left primary motor cortex (M1) and the right M1, premotor cortex, supplementary motor area (SMA), thalamus, and cerebellum. After two-week recovery, the increased functional connectivity of the left M1 was more widely distributed and primarily located in the insula, cerebellum, basal ganglia, and SMA. Furthermore, a significant negative relation existed between the FA value in the left M1 at the baseline scanning and node centrality of this region following acupuncture for both baseline and two-week recovery. Our findings may shed a new insight on understanding the reorganization of motor-related theory underlying motor impairments after brain lesions in stroke patients.
Collapse
|