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dc.contributor.authorMedina, Jared
Fischer-Baum, Simon
dc.date.accessioned 2019-12-12T17:25:30Z
dc.date.available 2019-12-12T17:25:30Z
dc.date.issued 2017
dc.identifier.citation Medina, Jared and Fischer-Baum, Simon. "Single-case cognitive neuropsychology in the age of big data." Cognitive Neuropsychology, 34, no. 7-8 (2017) Taylor & Francis: 440-448. https://doi.org/10.1080/02643294.2017.1321537.
dc.identifier.urihttps://hdl.handle.net/1911/107873
dc.description.abstract Historically, single-case studies of brain-damaged individuals have contributed substantially to our understanding of cognitive processes. However, the role of single-case cognitive neuropsychology has diminished with the proliferation of techniques that measure neural activity in humans. Instead, large-scale informatics approaches in which data are gathered from hundreds of neuroimaging studies have become popular. It has been claimed that utilizing these informatics approaches can address problems found in single imaging studies. We first discuss reasons for why cognitive neuropsychology is thought to be in decline. Next, we note how these informatics approaches, while having benefits, are not particularly suited for understanding functional architectures. We propose that the single-case cognitive neuropsychological approach, which is focused on developing models of cognitive processing, addresses several of the weaknesses inherent in informatics approaches. Furthermore, we discuss how using neural data from brain-damaged individuals provides data that can inform both cognitive and neural models of cognitive processing.
dc.language.iso eng
dc.publisher Taylor & Francis
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Taylor & Francis
dc.title Single-case cognitive neuropsychology in the age of big data
dc.type Journal article
dc.citation.journalTitle Cognitive Neuropsychology
dc.subject.keywordCognitive neuropsychology
big data
cognition
dc.citation.volumeNumber 34
dc.citation.issueNumber 7-8
dc.identifier.digital nihms-1506970
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1080/02643294.2017.1321537
dc.type.publication post-print
dc.citation.firstpage 440
dc.citation.lastpage 448


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