The contribution of lesion location to upper limb deficit after stroke

Journal of Neurology, Neurosurgery and Psychiatry

Volumn 87, Issue 12, 2016, Pages 1283-1286

  Park, Chang Hyun ^a,b   Kou, Nancy ^a   Ward, Nick S ^a,c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b Ewha Womans University School of Medicine   (South Korea)

^c NATIONAL HOSPITAL FOR NEUROLOGY AND NEUROSURGERY   (United Kingdom)

Author keywords

ANATOMY; IMAGE ANALYSIS; MRI; STROKE

Indexed keywords

ADULT; AGED; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; HAND GRIP; HUMAN; INFORMED CONSENT; LIMB DISEASE; LIMIT OF QUANTITATION; MALE; MIDDLE AGED; MOTOR DYSFUNCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; UPPER LIMB MOTOR DEFICIT; VERY ELDERLY; APRAXIAS; ARM; BRAIN; BRAIN INFARCTION; BRAIN MAPPING; CHRONIC DISEASE; COMPLICATION; DIAGNOSTIC IMAGING; DISABILITY; INNERVATION; MOTOR CORTEX; NEUROLOGIC EXAMINATION; PYRAMIDAL TRACT;

AGED; APRAXIAS; ARM; BRAIN; BRAIN MAPPING; CEREBRAL INFARCTION; CHRONIC DISEASE; DISABILITY EVALUATION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MOTOR CORTEX; NEUROLOGIC EXAMINATION; PYRAMIDAL TRACTS;

EID: 84978962334     PISSN: 00223050     EISSN: 1468330X     Source Type: Journal    
DOI: 10.1136/jnnp-2015-312738     Document Type: Article

References (15)

1. Baker K, Barrett L, Playford ED, et al. Measuring arm function early after stroke: is the DASH good enough? J Neurol Neurosurg Psychiatry 2016;87:604-10.
2. Knecht S, Roßmüller J, Unrath M, et al. Old benefit as much as young patients with stroke from high-intensity neurorehabilitation: cohort analysis. J Neurol Neurosurg Psychiatry 2016;87:526-30.
3. Coupar F, Pollock A, Rowe P, et al. Predictors of upper limb recovery after stroke: a systematic review and meta-analysis. Clin Rehabil 2012;26:291-313.
4. Jang SH. A review of diffusion tensor imaging studies on motor recovery mechanisms in stroke patients. Neuro Rehabilitation 2011;28:345-52.
5. Kou N, Park CH, Seghier ML, et al. Can fully automated detection of corticospinal tract damage be used in stroke patients? Neurology 2013;80:2242-5.
6. Geyer S, Ledberg A, Schleicher A, et al. Two different areas within the primary motor cortex of man. Nature 1996;382:805-7.
7. Amiez C, Kostopoulos P, Champod AS, et al. Local morphology predicts functional organization of the dorsal premotor region in the human brain. J Neurosci 2006;26:2724-31.
8. Nachev P, Kennard C, Husain M. Functional role of the supplementary and pre-supplementary motor areas. Nat Rev Neurosci 2008;9:856-69.
9. Seghier ML, Ramlackhansingh A, Crinion J, et al. Lesion identification using unified segmentation-normalisation models and fuzzy clustering. Neuro Image 2008;41:1253-66.
10. Zhu LL, Lindenberg R, Alexander MP, et al. Lesion load of the corticospinal tract predicts motor impairment in chronic stroke. Stroke 2010;41:910-15.
11. Crafton KR, Mark AN, Cramer SC. Improved understanding of cortical injury by incorporating measures of functional anatomy. Brain 2003;126:1650-9.
12. Ashburner J, Friston KJ. Voxel-based morphometry-the methods. Neuro Image 2000;11:805-21.
13. Bates E, Wilson SM, Saygin AP, et al. Voxel-based lesion-symptom mapping. Nat Neurosci 2003;6:448-50.
14. Lo R, Gitelman D, Levy R, et al. Identification of critical areas for motor function recovery in chronic stroke subjects using voxel-based lesion symptom mapping. Neuro Image 2010;49:9-18.
15. Forkert ND, Verleger T, Cheng B, et al. Multiclass support vector machine-based lesion mapping predicts functional outcome in ischemic stroke patients. PloS ONE 2015;10:e0129569.