Neuroimaging biomarkers of cognitive recovery after ischemic stroke

被引：8
作者：
Tahmi, Mouna [1 ]
Kane, Veronica A. [2 ]
Pavol, Marykay A. [3 ]
Naqvi, Imama A. [4 ]
机构：
[1] State Univ New York Downstate Hlth Sci Univ, Dept Neurol, New York, NY USA
[2] Columbia Univ, Vagelos Coll Phys & Surg, Dept Med, Irving Med Ctr, New York, NY USA
[3] Columbia Univ, Dept Neurol & Rehabil & Regenerat Med, New York, NY USA
[4] Columbia Univ, Dept Neurol, Div Stroke & Cerebrovasc Dis, New York, NY 10027 USA
来源：
FRONTIERS IN NEUROLOGY | 2022年 / 13卷
基金：
美国国家卫生研究院;
关键词：
ischemic stroke; reperfusion; recovery; reorganization; neuroplasticity; neuroimaging; cognition; LANGUAGE RECOVERY; MOTOR RECOVERY; IMPAIRMENT; DEMENTIA; RISK; CONNECTIVITY; PREDICTORS; REHABILITATION; ASSOCIATION; DEFINITION;
D O I：
10.3389/fneur.2022.923942
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
Post-stroke cognitive impairment affects more than one-third of patients after an ischemic stroke (IS). Identifying markers of potential cognitive recovery after ischemic stroke can guide patients' selection for treatments, enrollment in clinical trials, and cognitive rehabilitation methods to restore cognitive abilities in post-stroke patients. Despite the burden of post-stroke cognitive impairment, biomarkers of cognitive recovery are an understudied area of research. This narrative review summarizes and critically reviews the current literature on the use and utility of neuroimaging as a predictive biomarker of cognitive recovery after IS. Most studies included in this review utilized structural Magnetic Resonance Imaging (MRI) to predict cognitive recovery after IS; these studies highlighted baseline markers of cerebral small vessel disease and cortical atrophy as predictors of cognitive recovery. Functional Magnetic Resonance Imaging (fMRI) using resting-state functional connectivity and Diffusion Imaging are potential biomarkers of cognitive recovery after IS, although more precise predictive tools are needed. Comparison of these studies is limited by heterogeneity in cognitive assessments. For all modalities, current findings need replication in larger samples. Although no neuroimaging tool is ready for use as a biomarker at this stage, these studies suggest a clinically meaningful role for neuroimaging in predicting post-stroke cognitive recovery.
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页数：12
相关论文
共 59 条
[1]   Optimizing the Definitions of Stroke, Transient Ischemic Attack, and Infarction for Research and Application in Clinical Practice [J].
Abbott, Anne L. ;
Silvestrini, Mauro ;
Topakian, Raffi ;
Golledge, Jonathan ;
Brunser, Alejandro M. ;
de Borst, Gert J. ;
Harbaugh, Robert E. ;
Doubal, Fergus N. ;
Rundek, Tatjana ;
Thapar, Ankur ;
Davies, Alun H. ;
Kam, Anthony ;
Wardlaw, Joanna M. .
FRONTIERS IN NEUROLOGY, 2017, 8
[2]   Prediction of Cognitive Recovery After Stroke The Value of Diffusion-Weighted Imaging-Based Measures of Brain Connectivity [J].
Aben, Hugo P. ;
De Munter, Leonie ;
Reijmer, Yael D. ;
Spikman, Jacoba M. ;
Visser-Meily, Johanna M. A. ;
Biessels, Geert Jan ;
De Kort, Paul L. M. .
STROKE, 2021, 52 (06) :1983-1992
[3]   Extent to Which Network Hubs Are Affected by Ischemic Stroke Predicts Cognitive Recovery [J].
Aben, Hugo P. ;
Biessels, Geert Jan ;
Weaver, Nick A. ;
Spikman, Jacoba M. ;
Visser-Meily, Johanna M. A. ;
de Kort, Paul L. M. ;
Reijmer, Yael D. ;
Jansen, Ben P. W. .
STROKE, 2019, 50 (10) :2768-2774
[4]   Brain connectivity and neurological disorders after stroke [J].
Baldassarre, Antonello ;
Ramsey, Lenny E. ;
Siegel, Joshua S. ;
Shulman, Gordon L. ;
Corbetta, Maurizio .
CURRENT OPINION IN NEUROLOGY, 2016, 29 (06) :706-713
[5]   Prospective follow-up study between 3 and 15 months after stroke -: Improvements and decline in cognitive function among dementia-free stroke survivors > 75 years of age [J].
Ballard, C ;
Rowan, E ;
Stephens, S ;
Kalaria, R ;
Kenny, RA .
STROKE, 2003, 34 (10) :2440-2444
[6]  
Benjamin EJ, 2019, CIRCULATION, V139, pE56, DOI [10.1161/CIR.0000000000000659, 10.1161/CIR.0000000000000746]
[7]   Moving Rehabilitation Research Forward: Developing Consensus Statements for Rehabilitation and Recovery Research [J].
Bernhardt, Julie ;
Borschmann, Karen ;
Boyd, Lara ;
Carmichael, S. Thomas ;
Corbett, Dale ;
Cramer, Steven C. ;
Hoffmann, Tammy ;
Kwakkel, Gert ;
Savitz, Sean ;
Saposnik, Gustavo ;
Walker, Marion ;
Ward, Nick .
NEUROREHABILITATION AND NEURAL REPAIR, 2017, 31 (08) :694-698
[8]   Differences in Outcome and Predictors Between Ischemic and Intracerebral Hemorrhage The South London Stroke Register [J].
Bhalla, Ajay ;
Wang, Yanzhong ;
Rudd, Anthony ;
Wolfe, Charles D. A. .
STROKE, 2013, 44 (08) :2174-2181
[9]   Biomarkers of Stroke Recovery: Consensus-Based Core Recommendations from the Stroke Recovery and Rehabilitation Roundtable [J].
Boyd, Lara A. ;
Hayward, Kathryn S. ;
Ward, Nick S. ;
Stinear, Cathy M. ;
Rosso, Charlotte ;
Fisher, Rebecca J. ;
Carter, Alexandre R. ;
Leff, Alex P. ;
Copland, David A. ;
Carey, Leeanne M. ;
Cohen, Leonardo G. ;
Basso, D. Michele ;
Maguire, Jane M. ;
Cramer, Steven C. .
NEUROREHABILITATION AND NEURAL REPAIR, 2017, 31 (10-11) :864-876
[10]   Biological and imaging predictors of cognitive impairment after stroke: a systematic review [J].
Casolla, Barbara ;
Caparros, Francois ;
Cordonnier, Charlotte ;
Bombois, Stephanie ;
Henon, Hilde ;
Bordet, Regis ;
Orzi, Francesco ;
Leys, Didier .
JOURNAL OF NEUROLOGY, 2019, 266 (11) :2593-2604
123456