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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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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-6E26-A Version Permalink: http://hdl.handle.net/21.11116/0000-0003-9DA4-3
Genre: Journal Article

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

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Free keywords: Compensation; Language; lLsion; Plasticity; Recovery; Domain-general
 Abstract: 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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Language(s): eng - English
 Dates: 2018-05-272018-06-152018-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.tics.2018.05.008
PMID: 29914734
Other: Epub 2018
 Degree: -

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Project name : -
Grant ID : HA 6314/3-1 ; HA 6314/4-1
Funding program : -
Funding organization : German Research Foundation (DFG)

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Title: Trends in Cognitive Sciences
  Other : Trends Cogn. Sci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Kidlington, Oxford, UK : Elsevier Current Trends
Pages: - Volume / Issue: 22 (8) Sequence Number: - Start / End Page: 687 - 698 Identifier: ISSN: 1364-6613
CoNE: https://pure.mpg.de/cone/journals/resource/954925620155