English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Fluid intelligence predicts novel rule implementation in a distributed frontoparietal control network

Tschentscher, N., Mitchell, D., & Duncan, J. (2017). Fluid intelligence predicts novel rule implementation in a distributed frontoparietal control network. The Journal of Neuroscience, 37(18), 4841-4847. doi:10.1523/JNEUROSCI.2478-16.2017.

Item is

Files

show Files
hide Files
:
Tschentscher_2017.pdf (Publisher version), 2MB
Name:
Tschentscher_2017.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Tschentscher, Nadja1, 2, Author           
Mitchell, Daniel 2, Author
Duncan, John 2, Author
Affiliations:
1Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634556              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: executive functions; fMRI; fluid intelligence; frontoparietal control system; goal-directed behavior
 Abstract: Fluid intelligence has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Human fluid intelligence is also intimately linked to task complexity, and the process of solving complex problems in a sequence of simpler, more focused parts. Here, a complex target detection task included multiple independent rules, applied one at a time in successive task epochs. Although only one rule was applied at a time, increasing task complexity (i.e., the number of rules) impaired performance in participants of lower fluid intelligence. Accompanying this loss of performance was reduced response to rule-critical events across the distributed MD network. The results link fluid intelligence and MD function to a process of attentional focus on the successive parts of complex behavior.

SIGNIFICANCE STATEMENT Fluid intelligence is intimately linked to the ability to structure complex problems in a sequence of simpler, more focused parts. We examine the basis for this link in the functions of a distributed frontoparietal or multiple-demand (MD) network. With increased task complexity, participants of lower fluid intelligence showed reduced responses to task-critical events. Reduced responses in the MD system were accompanied by impaired behavioral performance. Low fluid intelligence is linked to poor foregrounding of task-critical information across a distributed MD system.

Details

show
hide
Language(s): eng - English
 Dates: 2017-02-152016-08-042017-02-202017-04-132017-05-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1523/JNEUROSCI.2478-16.2017
PMID: 28408412
PMC: PMC5426573
Other: Epub 2017
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : -
Grant ID : MC-A060-5PQ10
Funding program : Intramural program
Funding organization : Medical Research Council (MRC)
Project name : -
Grant ID : -
Funding program : Research Fellowship
Funding organization : Girton College, University of Cambridge

Source 1

show
hide
Title: The Journal of Neuroscience
  Other : The Journal of Neuroscience: the Official Journal of the Society for Neuroscience
  Abbreviation : J. Neurosci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, DC : Society of Neuroscience
Pages: - Volume / Issue: 37 (18) Sequence Number: - Start / End Page: 4841 - 4847 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187_1