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Bridging minds and policies: supporting early career researchers in translating computational psychiatry research

A significant challenge for psychiatry is to explain precisely how the brain generates psychopathology, as its translation is presumed to advance effective mechanism-based treatments. Computational psychiatry – a mathematical understanding of mental illness – has emerged to bridge this explanatory g...

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Main Authors: Aleya, A Marzuki *, Lim, Tsen Vei
Format: Article
Published: Springer Nature 2024
Subjects:
BF Psychology
RC Internal medicine
Online Access:http://eprints.sunway.edu.my/2581/
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spelling my.sunway.eprints.25812024-05-13T00:02:22Z http://eprints.sunway.edu.my/2581/ Bridging minds and policies: supporting early career researchers in translating computational psychiatry research Aleya, A Marzuki * Lim, Tsen Vei BF Psychology RC Internal medicine A significant challenge for psychiatry is to explain precisely how the brain generates psychopathology, as its translation is presumed to advance effective mechanism-based treatments. Computational psychiatry – a mathematical understanding of mental illness – has emerged to bridge this explanatory gap [1]. Broadly, computational psychiatry uses mathematical models to study psychiatric disorders, typically done via 1) an explanatory quantitative modelling approach to explain how aberrant computations of the mind produce psychiatric symptoms, and 2) data-driven modelling, commonly used to predict and track symptom progression. These methods have been applied to identify clinically relevant markers in psychiatry [2–4]. Recently, start-ups have been applying these principles to clinical settings for aiding diagnosis (e.g., https://limbic.ai/) and delivering personalised psychotherapy (e.g., https://alena.com/). Early career researchers (ECRs) are uniquely positioned to advance the translation of computational psychiatry. However, during our own academic training, we encountered barriers that may limit its uptake amongst ECRs. Here, we highlight these barriers and propose potential solutions. Springer Nature 2024 Article PeerReviewed Aleya, A Marzuki * and Lim, Tsen Vei (2024) Bridging minds and policies: supporting early career researchers in translating computational psychiatry research. Neuropsychopharmacology, 49 (6). pp. 903-904. ISSN 1740-634X (In Press) 10.1038/s41386-024-01834-1
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic BF Psychology
RC Internal medicine
spellingShingle BF Psychology
RC Internal medicine
Aleya, A Marzuki *
Lim, Tsen Vei
Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
description A significant challenge for psychiatry is to explain precisely how the brain generates psychopathology, as its translation is presumed to advance effective mechanism-based treatments. Computational psychiatry – a mathematical understanding of mental illness – has emerged to bridge this explanatory gap [1]. Broadly, computational psychiatry uses mathematical models to study psychiatric disorders, typically done via 1) an explanatory quantitative modelling approach to explain how aberrant computations of the mind produce psychiatric symptoms, and 2) data-driven modelling, commonly used to predict and track symptom progression. These methods have been applied to identify clinically relevant markers in psychiatry [2–4]. Recently, start-ups have been applying these principles to clinical settings for aiding diagnosis (e.g., https://limbic.ai/) and delivering personalised psychotherapy (e.g., https://alena.com/). Early career researchers (ECRs) are uniquely positioned to advance the translation of computational psychiatry. However, during our own academic training, we encountered barriers that may limit its uptake amongst ECRs. Here, we highlight these barriers and propose potential solutions.
format Article
author Aleya, A Marzuki *
Lim, Tsen Vei
author_facet Aleya, A Marzuki *
Lim, Tsen Vei
author_sort Aleya, A Marzuki *
title Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
title_short Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
title_full Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
title_fullStr Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
title_full_unstemmed Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
title_sort bridging minds and policies: supporting early career researchers in translating computational psychiatry research
publisher Springer Nature
publishDate 2024
url http://eprints.sunway.edu.my/2581/
_version_ 1800100321980055552
score 13.211869

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