A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder.
Journal
Npj mental health research
ISSN: 2731-4251
Titre abrégé: Npj Ment Health Res
Pays: England
ID NLM: 9918592488906676
Informations de publication
Date de publication:
03 Oct 2024
03 Oct 2024
Historique:
received:
19
03
2024
accepted:
22
09
2024
medline:
4
10
2024
pubmed:
4
10
2024
entrez:
3
10
2024
Statut:
epublish
Résumé
Bipolar disorder (BD) involves autonomic nervous system dysfunction, detectable through heart rate variability (HRV). HRV is a promising biomarker, but its dynamics during acute mania or depression episodes are poorly understood. Using a Bayesian approach, we developed a probabilistic model of HRV changes in BD, measured by the natural logarithm of the Root Mean Square of Successive RR interval Differences (lnRMSSD). Patients were assessed three to four times from episode onset to euthymia. Unlike previous studies, which used only two assessments, our model allowed for more accurate tracking of changes. Results showed strong evidence for a positive lnRMSSD change during symptom resolution (95.175% probability of positive direction), though the sample size limited the precision of this effect (95% Highest Density Interval [-0.0366, 0.4706], with a Region of Practical Equivalence: [-0.05; 0.05]). Episode polarity did not significantly influence lnRMSSD changes.
Identifiants
pubmed: 39363115
doi: 10.1038/s44184-024-00090-x
pii: 10.1038/s44184-024-00090-x
doi:
Types de publication
Journal Article
Langues
eng
Pagination
44Subventions
Organisme : UKRI
ID : EP/S02431X/1
Organisme : UKRI
ID : EP/S02431X/1
Organisme : European Research Council
ID : P/Y023838/1
Pays : International
Informations de copyright
© 2024. The Author(s).
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