Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test
Jan Gläscher1,2, Ralph Adolphs3,4, Daniel Tranel5
1Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, W34, Martinistr. 52, 20246, Hamburg, Germany. glaescher@uke.de.
Nature Communications
|January 4, 2019
Summary
Computational models reveal right prefrontal cortex lesions impair cognitive flexibility. Damage here reduces sensitivity to punishment, increasing errors on tasks like the Wisconsin Card Sorting Test.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Computational Psychiatry
Background:
- The frontal lobes' role in cognition and behavior remains complex.
- Computational models offer a powerful framework for understanding decision-making.
- Neuropsychological tasks are crucial for assessing frontal lobe function.
Purpose of the Study:
- To investigate the cognitive processes and neural correlates underlying performance on the Wisconsin Card Sorting Test using a model-based approach.
- To identify specific brain regions associated with deficits in cognitive flexibility.
Main Methods:
- Applied computational modeling to data from the Wisconsin Card Sorting Test.
- Utilized voxel-based lesion-symptom mapping in 328 patients with focal brain lesions.
- Analyzed the relationship between lesion location, task performance, and computational model parameters.
Main Results:
- Lesions in the right prefrontal cortex correlated with increased perseverative errors.
- Reduced sensitivity to punishment, a key model parameter, was associated with these lesions.
- Findings link cognitive flexibility to the detection of environmental changes via punishment sensitivity.
Conclusions:
- Model-based analysis of neuropsychological tasks provides insights into cognitive deficits.
- The right prefrontal cortex is critical for cognitive flexibility, mediated by sensitivity to punishment.
- This study highlights the utility of computational approaches in neuroscience research.
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