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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
PaperCitations, authors & open-access status
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 is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 188 citations, 2016 year and hybrid oa status.
188
Citations
2016
Year
hybrid
OA Status