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Brain areas consistently linked to individual differences in perceptual decision-making in younger as well as older adults before and after training

Kühn, Simone (författare)
Ghent University, Belgium; University College London, UK
Schmiedek, Florian (författare)
Max Planck Institute for Human Development, Berlin, Germany; German Institute for International Educational Research, Frankfurt am Main, Germany
Schott, Björn (författare)
Otto-von-Guericke University Magdeburg, Germany; Charité University Medecine, Berlin
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Ratcliff, Roger (författare)
Ohio State University, Columbus
Heinze, Hans-Jochen (författare)
Otto-von-Guericke University Magdeburg, Germany
Düzel, Emrah (författare)
University College London, UK; Otto-von-Guericke University Magdeburg, Germany
Lindenberger, Ulman (författare)
Max Planck Institute for Human Development, Berlin, Germany
Lövdén, Martin (författare)
Lund University,Lunds universitet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Institutionen för psykologi,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Department of Psychology,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
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 (creator_code:org_t)
2011-09-01
2011
Engelska.
Ingår i: Journal of cognitive neuroscience. - Cambridge, Mass. : MIT Press. - 0898-929X .- 1530-8898. ; 23:9, s. 2147-2158
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Perceptual decision-making performance depends on several cognitive and neural processes. Here, we fit Ratcliff's diffusion model to accuracy data and reaction-time distributions from one numerical and one verbal two-choice perceptual-decision task to deconstruct these performance measures into the rate of evidence accumulation (i.e., drift rate), response criterion setting (i.e., boundary separation), and peripheral aspects of performance (i.e., nondecision time). These theoretical processes are then related to individual differences in brain activation by means of multiple regression. The sample consisted of 24 younger and 15 older adults performing the task in fMRI before and after 100 daily 1-hr behavioral training sessions in a multitude of cognitive tasks. Results showed that individual differences in boundary separation were related to striatal activity, whereas differences in drift rate were related to activity in the inferior parietal lobe. These associations were not significantly modified by adult age or perceptual expertise. We conclude that the striatum is involved in regulating response thresholds, whereas the inferior parietal lobe might represent decision-making evidence related to letters and numbers.

Ämnesord

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

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