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  Flexible redistribution in cognitive networks

Hartwigsen, G. (2018). Flexible redistribution in cognitive networks. Trends in Cognitive Sciences, 22(8), 687-698. doi:10.1016/j.tics.2018.05.008.

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Genre: Zeitschriftenartikel

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 Urheber:
Hartwigsen, Gesa1, Autor           
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Schlagwörter: Compensation; Language; lLsion; Plasticity; Recovery; Domain-general
 Zusammenfassung: Previous work has emphasized that cognitive functions in the human brain are organized
into large-scale networks. However, the mechanisms that allow these networks to
compensate for focal disruptions remain elusive. I suggest a new perspective on the
compensatory flexibility of cognitive networks. First, I demonstrate that cognitive networks
can rapidly change the functional weight of the relative contribution of different regions.
Secondly, I argue that there is an asymmetry in the compensatory potential of different
kinds of networks. Specifically, recruitment of domain-general functions can partially
compensate for focal disruptions of specialized cognitive functions, but not vice versa.
Considering the compensatory potential within and across networks will increase our
understanding of functional adaptation and reorganization after brain lesions and offers a
new perspective on large-scale neural network (re-)organization.

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Sprache(n): eng - English
 Datum: 2018-05-272018-06-152018-08
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.tics.2018.05.008
PMID: 29914734
Anderer: Epub 2018
 Art des Abschluß: -

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Projektinformation

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Projektname : -
Grant ID : HA 6314/3-1 ; HA 6314/4-1
Förderprogramm : -
Förderorganisation : German Research Foundation (DFG)

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Titel: Trends in Cognitive Sciences
  Andere : Trends Cogn. Sci.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Kidlington, Oxford, UK : Elsevier Current Trends
Seiten: - Band / Heft: 22 (8) Artikelnummer: - Start- / Endseite: 687 - 698 Identifikator: ISSN: 1364-6613
CoNE: https://pure.mpg.de/cone/journals/resource/954925620155