Journal of Neurology Neurosurgery & Psychiatry · 2016 · 41 citations · 11 references
MedicineNeurologyNeuroscienceMotor NeuroscienceNeurorehabilitationStroke RehabilitationBrain ImagingMotor CortexMotor Function AssessmentStrokeStroke ImagingBrain RegionsCorticospinal Tract ActivationCorticospinal Tract DysfunctionStructural MriSubcortical StructuresT1-weighted Imaging
BACKGROUND: Motor deficit after stroke is related to regional anatomical damage. OBJECTIVE: To examine the influence of lesion location on upper limb motor deficit in chronic patients with stroke. METHODS: Lesion likelihood maps were created from T1-weighted structural MRI in 33 chronic patients with stroke with either purely subcortical lesions (SC, n=19) or lesions extending to any of the cortical motor areas (CM, n=14). We estimated lesion likelihood maps over the whole brain and applied multivoxel pattern analysis to seek the contribution weight of lesion likelihood to upper limb motor deficit. Among 5 brain regions of interest, the brain region with the greatest contribution to motor deficit was determined for each subgroup. RESULTS: The corticospinal tract was most likely to be damaged in both subgroups. However, while damage in the corticospinal tract was the best indicator of motor deficit in the SC patients, motor deficit in the CM patients was best explained by damage in brain areas activated during handgrip. CONCLUSIONS: Quantification of structural damage can add to models explaining motor outcome after stroke, but assessment of corticospinal tract damage alone is unlikely to be sufficient when considering patients with stroke with a wide range of lesion topography.
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Voxel-based lesion–symptom mapping
Elizabeth Bates, Stephen M. Wilson, Frederic Dick et al. · Nature Neuroscience · 2003 · 1.5K citations
Two different areas within the primary motor cortex of man
Stefan Geyer, Anders Ledberg, Axel Schleicher et al. · Nature · 1996 · 660 citations
Lesion Load of the Corticospinal Tract Predicts Motor Impairment in Chronic Stroke
Lin Zhu, Robert Lindenberg, Michael P. Alexander et al. · Stroke · 2010 · 346 citations · Full text
Medicine, Neurology, Neuroscience +17
Lesion identification using unified segmentation-normalisation models and fuzzy clustering
Mohamed L. Seghier, Anil Ramlackhansingh, Jenny Crinion et al. · NeuroImage · 2008 · 326 citations · Full text
Medicine, Neurology, Neuroscience +17