Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test

Jan Gläscher; Ralph Adolphs; Daniel Tranel

doi:10.1038/s41467-018-07912-5

Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test

Standard

Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test. / Gläscher, Jan; Adolphs, Ralph; Tranel, Daniel.

in: NAT COMMUN, Jahrgang 10, Nr. 1, 03.01.2019, S. 20.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Gläscher, J, Adolphs, R & Tranel, D 2019, 'Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test', NAT COMMUN, Jg. 10, Nr. 1, S. 20. https://doi.org/10.1038/s41467-018-07912-5

APA

Gläscher, J., Adolphs, R., & Tranel, D. (2019). Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test. NAT COMMUN, 10(1), 20. https://doi.org/10.1038/s41467-018-07912-5

Vancouver

Gläscher J, Adolphs R, Tranel D. Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test. NAT COMMUN. 2019 Jan 3;10(1):20. https://doi.org/10.1038/s41467-018-07912-5

Bibtex

@article{4436027ecbfe443fb5ed27f646a02385,

title = "Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test",

abstract = "The role of the frontal lobes in cognition and behavior has long been enigmatic. Over the past decade, computational models have provided a powerful approach to understanding cognition and decision-making. Here, we used a model-based approach to analyze data from a classical task used to assess frontal lobe function, the Wisconsin Card Sorting Test. We applied computational modeling and voxel-based lesion-symptom mapping in 328 patients with focal lesions, to uncover cognitive processes and neural correlates of test scores. Our results reveal that lesions in the right prefrontal cortex are associated with elevated perseverative errors and reductions in the model parameter of sensitivity to punishment. These findings indicate that the capacity to flexibly switch between task sets requires the detection of contingency changes, which are enabled by a sensitivity to punishment that reduces perseverative errors. We demonstrate the power of model-based approaches in understanding patterns of deficits on classical neuropsychological tasks.",

keywords = "Adult, Aged, Aged, 80 and over, Cognition, Cognition Disorders/diagnosis, Computer Simulation, Female, Frontal Lobe/physiopathology, Humans, Male, Middle Aged, Models, Biological, Wisconsin Card Sorting Test, Young Adult",

author = "Jan Gl{\"a}scher and Ralph Adolphs and Daniel Tranel",

year = "2019",

month = jan,

day = "3",

doi = "10.1038/s41467-018-07912-5",

language = "English",

volume = "10",

pages = "20",

journal = "NAT COMMUN",

issn = "2041-1723",

publisher = "NATURE PUBLISHING GROUP",

number = "1",

}

RIS

TY - JOUR

T1 - Model-based lesion mapping of cognitive control using the Wisconsin Card Sorting Test

AU - Gläscher, Jan

AU - Adolphs, Ralph

AU - Tranel, Daniel

PY - 2019/1/3

Y1 - 2019/1/3

N2 - The role of the frontal lobes in cognition and behavior has long been enigmatic. Over the past decade, computational models have provided a powerful approach to understanding cognition and decision-making. Here, we used a model-based approach to analyze data from a classical task used to assess frontal lobe function, the Wisconsin Card Sorting Test. We applied computational modeling and voxel-based lesion-symptom mapping in 328 patients with focal lesions, to uncover cognitive processes and neural correlates of test scores. Our results reveal that lesions in the right prefrontal cortex are associated with elevated perseverative errors and reductions in the model parameter of sensitivity to punishment. These findings indicate that the capacity to flexibly switch between task sets requires the detection of contingency changes, which are enabled by a sensitivity to punishment that reduces perseverative errors. We demonstrate the power of model-based approaches in understanding patterns of deficits on classical neuropsychological tasks.

AB - The role of the frontal lobes in cognition and behavior has long been enigmatic. Over the past decade, computational models have provided a powerful approach to understanding cognition and decision-making. Here, we used a model-based approach to analyze data from a classical task used to assess frontal lobe function, the Wisconsin Card Sorting Test. We applied computational modeling and voxel-based lesion-symptom mapping in 328 patients with focal lesions, to uncover cognitive processes and neural correlates of test scores. Our results reveal that lesions in the right prefrontal cortex are associated with elevated perseverative errors and reductions in the model parameter of sensitivity to punishment. These findings indicate that the capacity to flexibly switch between task sets requires the detection of contingency changes, which are enabled by a sensitivity to punishment that reduces perseverative errors. We demonstrate the power of model-based approaches in understanding patterns of deficits on classical neuropsychological tasks.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Cognition

KW - Cognition Disorders/diagnosis

KW - Computer Simulation

KW - Female

KW - Frontal Lobe/physiopathology

KW - Humans

KW - Male

KW - Middle Aged

KW - Models, Biological

KW - Wisconsin Card Sorting Test

KW - Young Adult

U2 - 10.1038/s41467-018-07912-5

DO - 10.1038/s41467-018-07912-5

M3 - SCORING: Journal article

C2 - 30604744

VL - 10

SP - 20

JO - NAT COMMUN

JF - NAT COMMUN

SN - 2041-1723

IS - 1

ER -