Using principal component analysis to capture individual differences within a unified neuropsychological model of chronic post-stroke aphasia: Revealing the unique neural correlates of speech fluency, phonology and semantics-Reference-Cited by-同舟云学术

Using principal component analysis to capture individual differences within a unified neuropsychological model of chronic post-stroke aphasia: Revealing the unique neural correlates of speech fluency, phonology and semantics

Published:2017-01 Issue: Volume:86 Page:275-289
ISSN:0010-9452
Container-title:Cortex
language:en
Short-container-title:Cortex

Author:

Halai Ajay D.,Woollams Anna M.,Lambon Ralph Matthew A.^ORCID

Funder

Rosetrees Trust

Medical Research Council

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology

Reference71 articles.

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