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Neural Mechanisms, Temporal Dynamics, and Individual Differences in Interference Control

Functional magnetic resonance imaging (fMRI) methods may help in understanding processes of response capture and response inhibition in conflict tasks, such as the Simon task. However, data-driven approaches thus far have not yielded consistent insights into these processes. Here, a theory-driven ap... Full description

Journal Title: Journal of cognitive neuroscience 2008-10-01, Vol.20 (10), p.1854-1865
Main Author: Forstmann, Birte U
Other Authors: van den Wildenberg, Wery P. M , Ridderinkhof, K. Richard
Format: Electronic Article Electronic Article
Language: English
Subjects:
NMR
Publisher: One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press
ID: ISSN: 0898-929X
Link: https://www.ncbi.nlm.nih.gov/pubmed/18370596
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recordid: cdi_gale_infotracacademiconefile_A185487508
title: Neural Mechanisms, Temporal Dynamics, and Individual Differences in Interference Control
format: Article
creator:
  • Forstmann, Birte U
  • van den Wildenberg, Wery P. M
  • Ridderinkhof, K. Richard
subjects:
  • Adult
  • Attention - physiology
  • Brain
  • Brain Mapping
  • Cognition & reasoning
  • Differences
  • Evaluation
  • Female
  • Frontal Lobe - blood supply
  • Frontal Lobe - physiology
  • Functional Laterality - physiology
  • Humans
  • Image Processing, Computer-Assisted - methods
  • Individual differences
  • Individuality
  • Inhibition (Psychology)
  • Inhibition, Psychological
  • Interference (Perception)
  • Magnetic resonance imaging
  • Magnetic Resonance Imaging - methods
  • Male
  • Mental Processes - physiology
  • Neuropsychology
  • NMR
  • Nonlinear Dynamics
  • Nuclear magnetic resonance
  • Photic Stimulation - methods
  • Psychomotor Performance - physiology
  • Reaction time
  • Reaction Time - physiology
  • Usage
ispartof: Journal of cognitive neuroscience, 2008-10-01, Vol.20 (10), p.1854-1865
description: Functional magnetic resonance imaging (fMRI) methods may help in understanding processes of response capture and response inhibition in conflict tasks, such as the Simon task. However, data-driven approaches thus far have not yielded consistent insights into these processes. Here, a theory-driven approach is introduced that capitalizes on individual differences in the processes of central interest. Based on the so-called activation-suppression model, specific behavioral parameters for each individual derived from reaction time (RT) distribution analysis were computed and entered into model-based fMRI analyses. These parameters correspond closely to the processes of inappropriate location-driven response activation (capture) and the subsequent inhibition of this activation as detailed by the model. Data from 24 participants revealed activation in the pre-supplementary motor area, which covaried with the RT distribution measure of response capture. Activation in the right inferior frontal cortex was found to covary with the RT distribution measure of response inhibition. These results, which are consistent against the backdrop of the larger literature on cognitive control, could have been derived neither from the standard data-driven fMRI approach, nor from inspecting overall mean RT alone.
language: eng
source:
identifier: ISSN: 0898-929X
fulltext: no_fulltext
issn:
  • 0898-929X
  • 1530-8898
url: Link


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descriptionFunctional magnetic resonance imaging (fMRI) methods may help in understanding processes of response capture and response inhibition in conflict tasks, such as the Simon task. However, data-driven approaches thus far have not yielded consistent insights into these processes. Here, a theory-driven approach is introduced that capitalizes on individual differences in the processes of central interest. Based on the so-called activation-suppression model, specific behavioral parameters for each individual derived from reaction time (RT) distribution analysis were computed and entered into model-based fMRI analyses. These parameters correspond closely to the processes of inappropriate location-driven response activation (capture) and the subsequent inhibition of this activation as detailed by the model. Data from 24 participants revealed activation in the pre-supplementary motor area, which covaried with the RT distribution measure of response capture. Activation in the right inferior frontal cortex was found to covary with the RT distribution measure of response inhibition. These results, which are consistent against the backdrop of the larger literature on cognitive control, could have been derived neither from the standard data-driven fMRI approach, nor from inspecting overall mean RT alone.
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subjectAdult ; Attention - physiology ; Brain ; Brain Mapping ; Cognition & reasoning ; Differences ; Evaluation ; Female ; Frontal Lobe - blood supply ; Frontal Lobe - physiology ; Functional Laterality - physiology ; Humans ; Image Processing, Computer-Assisted - methods ; Individual differences ; Individuality ; Inhibition (Psychology) ; Inhibition, Psychological ; Interference (Perception) ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Mental Processes - physiology ; Neuropsychology ; NMR ; Nonlinear Dynamics ; Nuclear magnetic resonance ; Photic Stimulation - methods ; Psychomotor Performance - physiology ; Reaction time ; Reaction Time - physiology ; Usage
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abstractFunctional magnetic resonance imaging (fMRI) methods may help in understanding processes of response capture and response inhibition in conflict tasks, such as the Simon task. However, data-driven approaches thus far have not yielded consistent insights into these processes. Here, a theory-driven approach is introduced that capitalizes on individual differences in the processes of central interest. Based on the so-called activation-suppression model, specific behavioral parameters for each individual derived from reaction time (RT) distribution analysis were computed and entered into model-based fMRI analyses. These parameters correspond closely to the processes of inappropriate location-driven response activation (capture) and the subsequent inhibition of this activation as detailed by the model. Data from 24 participants revealed activation in the pre-supplementary motor area, which covaried with the RT distribution measure of response capture. Activation in the right inferior frontal cortex was found to covary with the RT distribution measure of response inhibition. These results, which are consistent against the backdrop of the larger literature on cognitive control, could have been derived neither from the standard data-driven fMRI approach, nor from inspecting overall mean RT alone.
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