Cognitive Ontology and Region- versus Network-Oriented Analyses.

The interpretation of functional imaging experiments is complicated by the pluripotency of brain regions. As there is a many-to-one mapping between cognitive functions and their neural substrates, region-based analyses of imaging data provide only weak support for cognitive theories. Price and Frist...

Descripción completa

Detalles Bibliográficos
Publicado en:Philosophy of Science Vol. 79; no. 5; pp. 952 - 961
Autor principal: Klein, Colin
Formato: Artículo
Publicado: Cambridge University Press Dec2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=83538370&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 83538370
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00318248
        PSC
      jtl: Philosophy of Science
      issn: 00318248
      maglogo: N
    pubinfo:
      dt: Dec2012
      vid: 79
      iid: 5
      pid: 15979
      pub: Cambridge University Press
    artinfo:
      ui:
        83538370
        10.1086/667843
      ppf: 952
      ppct: 9
      formats:
        fmt:
          @attributes:
            type: P
            size: 66KB
      tig:
        atl: Cognitive Ontology and Region- versus Network-Oriented Analyses.
      aug:
        au: Klein, Colin
        affil: 1420 University Hall, MC 267, University of Illinois, Chicago, 601 S. Morgan St., Chicago, IL 60607
      su:
        Ontology
        Pluripotent stem cells
        Brain
        Magnetic resonance imaging
        Cognitive ability
      sug:
        subj:
          Ontology
          Pluripotent stem cells
          Brain
          Magnetic resonance imaging
          Cognitive ability
      ab: The interpretation of functional imaging experiments is complicated by the pluripotency of brain regions. As there is a many-to-one mapping between cognitive functions and their neural substrates, region-based analyses of imaging data provide only weak support for cognitive theories. Price and Friston argue that we need a 'cognitive ontology' that abstractly categorizes the function of regions. I argue that abstract characterizations are unlikely to be cognitively interesting. I argue instead that we should attribute functions to regions in a context-sensitive manner. I review recent meta-analyses that approach fMRI data in this light and argue that they have revisionary potential.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Philosophy of Science
      holder: Cambridge University Press
      dt:
        @attributes:
          year: 2012
    holdings:
      @attributes:
        islocal: N