Solving the paradox of the equipotential and modular brain: A neurocomputational model of stroke vs. slow-growing glioma

Neuropsychologia

Volumn 48, Issue 6, 2010, Pages 1716-1724

  Keidel, James L ^a   Welbourne, Stephen R ^a   Lambon Ralph, Matthew A ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Computational modelling; Entrenchment; Glioma; Language; Plasticity; Stroke

Indexed keywords

ARTICLE; BRAIN CORTEX; BRAIN DAMAGE; BRAIN FUNCTION; CEREBROVASCULAR ACCIDENT; FUNCTIONAL ASSESSMENT; GLIOMA; LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL PLASTICITY;

BRAIN MAPPING; BRAIN NEOPLASMS; CEREBRAL CORTEX; COMPUTER SIMULATION; GLIOMA; HUMANS; MODELS, NEUROLOGICAL; STROKE;

EID: 77952549737     PISSN: 00283932     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuropsychologia.2010.02.019     Document Type: Article

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