Journal article
Deconstructing cognitive impairment in psychosis with a machine learning approach
- Abstract:
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Importance: Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a greater exposure to general risk factors for poor cognition.
Objective: To determine the extent that impairments in cognition in psychosis reflect risk factor exposures.
Design,...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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-
(Preview, Accepted manuscript, pdf, 707.2KB, Terms of use)
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(Preview, Supplementary materials, pdf, 1.8MB, Terms of use)
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- Publisher copy:
- 10.1001/jamapsychiatry.2024.3062
Authors
Funding
+ Wellcome Trust
More from this funder
Funder identifier:
https://ror.org/029chgv08
Grant:
224625/Z/21/Z
Bibliographic Details
- Publisher:
- American Medical Association
- Journal:
- JAMA Psychiatry More from this journal
- Publication date:
- 2024-10-09
- Acceptance date:
- 2024-08-02
- DOI:
- EISSN:
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2168-6238
- ISSN:
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2168-622X
Item Description
- Language:
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English
- Pubs id:
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2038522
- Local pid:
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pubs:2038522
- Deposit date:
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2024-10-14
Terms of use
- Copyright holder:
- American Medical Association
- Copyright date:
- 2024
- Rights statement:
- © 2024 American Medical Association. All rights reserved.
- Notes:
- For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission. This is the accepted manuscript version of the article. The final version is available online from American Medical Association at https://dx.doi.org/10.1001/jamapsychiatry.2024.3062
- Licence:
- CC Attribution (CC BY)
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