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Measuring mood instability using a generative model of affect

Abstract:
Mood instability is characteristic of bipolar (BD) and borderline personality (BPD) disorders. However, the optimal method(s) for measuring mood instability is not clear. One approach is to develop a generative model describing why mood changes over time and estimate the states of the model using an ideal Bayesian observer. We describe such a model here and use it to infer the cause of mood instability in BD and BPD patients as well as characterising the effect of lithium on mood instability.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.biopsych.2020.02.787

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Sub department:
Psychiatry
Role:
Author
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Publisher:
Elsevier Publisher's website
Journal:
Biological Psychiatry Journal website
Volume:
87
Issue:
9
Pages:
S305-S306
Publication date:
2020-05-07
Event location:
Online
Event website:
https://sobp.org/meetings/2020-annual-meeting/
Event start date:
2020-05-01T00:00:00Z
Event end date:
2020-06-01T00:00:00Z
DOI:
EISSN:
1873-2402
ISSN:
0006-3223
Language:
English
Keywords:
Pubs id:
1127692
Local pid:
pubs:1127692
Deposit date:
2021-05-17

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