Decoding the neural representation of value in schizophrenia with negative symptoms

Motivation: The neural mechanisms underlying motivation and pleasure deficits in schizophrenia have not yet been elucidated. Goal(s): We aimed to develop a method to disentangle different aspects of value-based decision making to understand these deficits in schizophrenia. Approach: We developed a novel fMRI task and combined it with machine learning approaches to effectively measure multiple components of value-based decision making. Results: Our preliminary results revealed that patterns of brain activity in the value regions of the brain (ventromedial PFC and ventral striatum) are predictive of healthy individuals’ decisions; however, such patterns do not provide value representation to support decision making in schizophrenia. Impact: Neural patterns in the value regions of the brain were shown to not represent value to support decision making in schizophrenia. These findings will provide targets for treatment developments for motivation and pleasure deficits in schizophrenia and other psychiatric conditions.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3166
Primary Topic
Mental Health and Psychiatry
Type
article
Field-Weighted Citation Impact
0.00
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article

Decoding the neural representation of value in schizophrenia with negative symptoms

Reihaneh Forouhandehpour, Guillermo Horga, Clifford Cassidy
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Mental Health and Psychiatry
article

Decoding the neural representation of value in schizophrenia with negative symptoms

Reihaneh Forouhandehpour, Guillermo Horga, Clifford Cassidy
article en

Abstract

Motivation: The neural mechanisms underlying motivation and pleasure deficits in schizophrenia have not yet been elucidated. Goal(s): We aimed to develop a method to disentangle different aspects of value-based decision making to understand these deficits in schizophrenia. Approach: We developed a novel fMRI task and combined it with machine learning approaches to effectively measure multiple components of value-based decision making. Results: Our preliminary results revealed that patterns of brain activity in the value regions of the brain (ventromedial PFC and ventral striatum) are predictive of healthy individuals’ decisions; however, such patterns do not provide value representation to support decision making in schizophrenia. Impact: Neural patterns in the value regions of the brain were shown to not represent value to support decision making in schizophrenia. These findings will provide targets for treatment developments for motivation and pleasure deficits in schizophrenia and other psychiatric conditions.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Peace, Justice and strong institutions
Openalex Percentile: Top 65%
Mental Health and Psychiatry
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Decoding the neural representation of value in schizophrenia with negative symptoms — Reihaneh Forouhandehpour, Guillermo Horga, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS