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Published Online: 27 May 2020

Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions

Abstract

Objective:

Conceptualizations of delusion formation implicate deficits in feedforward information updating across the posterior to prefrontal cortices, resulting in dysfunctional integration of new information about contexts in working memory and, ultimately, failure to update overfamiliar prior beliefs. The authors used functional MRI and machine learning models to address individual variability in feedforward parietal-prefrontal information updating in patients with schizophrenia. They examined relationships between feedforward connectivity, and delusional thinking and polygenic risk for schizophrenia.

Methods:

The authors studied 66 schizophrenia patients and 143 healthy control subjects during performance of context updating in working memory. Dynamic causal models of effective connectivity were focused on regions of the prefrontal and parietal cortex potentially implicated in delusion processes. The effect of polygenic risk for schizophrenia on connectivity was examined in healthy individuals. The authors then leveraged support vector regression models to define optimal normalized target connectivity tailored for each patient and tested the extent to which deviation from this target could predict individual variation in severity of delusions.

Results:

In schizophrenia patients, updating and manipulating context information was disproportionately less accurate than was working memory maintenance, with an interaction of task accuracy by diagnosis. Patients with delusions also tended to have relatively reduced parietal-prefrontal feedforward effective connectivity during context updating in working memory manipulation. The same connectivity was adversely influenced by polygenic risk for schizophrenia in healthy subjects. Individual patients’ deviation from predicted “normal” feedforward connectivity based on the support vector regression models correlated with severity of delusions.

Conclusions:

These computationally derived observations support a role for feedforward parietal-prefrontal information processing deficits in delusional psychopathology and in genetic risk for schizophrenia.

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Supplementary Material

File (appi.ajp.2020.19111176.ds001.pdf)

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 1151 - 1158
PubMed: 32456505

History

Received: 18 November 2019
Revision received: 5 February 2020
Accepted: 5 March 2020
Published online: 27 May 2020
Published in print: December 01, 2020

Keywords

  1. Schizophrenia Spectrum and Other Psychotic Disorders
  2. Delusions
  3. Computational Psychiatry

Authors

Affiliations

Danielle L.B. Greenman, M.S.
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Michelle A.N. La, B.S.
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Shefali Shah, B.S.
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Qiang Chen, Ph.D.
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Karen F. Berman, M.D.
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Daniel R. Weinberger, M.D.
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).
Hao Yang Tan, M.D., F.R.C.P.C. [email protected]
Lieber Institute for Brain Development, Baltimore (Greenman, La, Shah, Chen, Weinberger, Tan); Clinical and Translational Neuroscience Branch, Section on Integrative Neuroimaging, Psychosis and Cognitive Studies Section, NIMH Intramural Research Program, Bethesda, Md. (Berman); Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Weinberger, Tan); Departments of Neurology and Neuroscience and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore (Weinberger).

Notes

Send correspondence to Dr. Tan ([email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

National Institute of Mental Healthhttp://dx.doi.org/10.13039/100000025: R01MH101053
Supported by the NIMH Intramural Research Program (Drs. Berman and Weinberger), the Lieber Institute for Brain Development, and NIMH grant R01MH101053 (Dr. Tan).

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