Neurobehavioral Reward and Sleep-Circadian Profiles Predict Present and Next-Year Mania/Hypomania Symptoms.

Circadian rhythms Impulsivity Mania Reward Sleep fMRI

Journal

Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 07 10 2022
revised: 21 04 2023
accepted: 22 04 2023
pmc-release: 23 11 2024
pubmed: 26 5 2023
medline: 26 5 2023
entrez: 25 5 2023
Statut: ppublish

Résumé

Heightened reward sensitivity/impulsivity, related neural activity, and sleep-circadian disruption are important risk factors for bipolar spectrum disorders, the defining feature of which is mania/hypomania. Our goal was to identify neurobehavioral profiles based on reward and sleep-circadian features and examine their specificity to mania/hypomania versus depression vulnerability. At baseline, a transdiagnostic sample of 324 adults (18-25 years) completed trait measures of reward sensitivity (Behavioral Activation Scale), impulsivity (UPPS-P-Negative Urgency), and a functional magnetic resonance imaging card-guessing reward task (left ventrolateral prefrontal activity to reward expectancy, a neural correlate of reward motivation and impulsivity, was extracted). At baseline, 6-month follow-up, and 12-month follow-up, the Mood Spectrum Self-Report Measure - Lifetime Version assessed lifetime predisposition to subthreshold-syndromal mania/hypomania, depression, and sleep-circadian disturbances (insomnia, sleepiness, reduced sleep need, rhythm disruption). Mixture models derived profiles from baseline reward, impulsivity, and sleep-circadian variables. Three profiles were identified: 1) healthy (no reward or sleep-circadian disruption; n = 162); 2) moderate-risk (moderate reward and sleep-circadian disruption; n = 109); and 3) high-risk (high impulsivity and sleep-circadian disruption; n = 53). At baseline, the high-risk group had significantly higher mania/hypomania scores than the other groups but did not differ from the moderate-risk group in depression scores. Over the follow-up period, the high-risk and moderate-risk groups exhibited elevated mania/hypomania scores, whereas depression scores increased at a faster rate in the healthy group than in the other groups. Cross-sectional and next-year predisposition to mania/hypomania is associated with a combination of heightened reward sensitivity and impulsivity, related reward circuitry activity, and sleep-circadian disturbances. These measures can be used to detect mania/hypomania risk and provide targets to guide and monitor interventions.

Sections du résumé

BACKGROUND BACKGROUND
Heightened reward sensitivity/impulsivity, related neural activity, and sleep-circadian disruption are important risk factors for bipolar spectrum disorders, the defining feature of which is mania/hypomania. Our goal was to identify neurobehavioral profiles based on reward and sleep-circadian features and examine their specificity to mania/hypomania versus depression vulnerability.
METHODS METHODS
At baseline, a transdiagnostic sample of 324 adults (18-25 years) completed trait measures of reward sensitivity (Behavioral Activation Scale), impulsivity (UPPS-P-Negative Urgency), and a functional magnetic resonance imaging card-guessing reward task (left ventrolateral prefrontal activity to reward expectancy, a neural correlate of reward motivation and impulsivity, was extracted). At baseline, 6-month follow-up, and 12-month follow-up, the Mood Spectrum Self-Report Measure - Lifetime Version assessed lifetime predisposition to subthreshold-syndromal mania/hypomania, depression, and sleep-circadian disturbances (insomnia, sleepiness, reduced sleep need, rhythm disruption). Mixture models derived profiles from baseline reward, impulsivity, and sleep-circadian variables.
RESULTS RESULTS
Three profiles were identified: 1) healthy (no reward or sleep-circadian disruption; n = 162); 2) moderate-risk (moderate reward and sleep-circadian disruption; n = 109); and 3) high-risk (high impulsivity and sleep-circadian disruption; n = 53). At baseline, the high-risk group had significantly higher mania/hypomania scores than the other groups but did not differ from the moderate-risk group in depression scores. Over the follow-up period, the high-risk and moderate-risk groups exhibited elevated mania/hypomania scores, whereas depression scores increased at a faster rate in the healthy group than in the other groups.
CONCLUSIONS CONCLUSIONS
Cross-sectional and next-year predisposition to mania/hypomania is associated with a combination of heightened reward sensitivity and impulsivity, related reward circuitry activity, and sleep-circadian disturbances. These measures can be used to detect mania/hypomania risk and provide targets to guide and monitor interventions.

Identifiants

pubmed: 37230386
pii: S2451-9022(23)00122-2
doi: 10.1016/j.bpsc.2023.04.012
pmc: PMC10665544
mid: NIHMS1904174
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1251-1261

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH100041
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH124828
Pays : United States
Organisme : NIMH NIH HHS
ID : R37 MH100041
Pays : United States

Informations de copyright

Copyright © 2023 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Auteurs

Adriane M Soehner (AM)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Electronic address: soehneram2@upmc.edu.

Meredith L Wallace (ML)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Kale Edmiston (K)

Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, Massachusetts.

Henry W Chase (HW)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Jeannette Lockovich (J)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Haris Aslam (H)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Richelle Stiffler (R)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Simona Graur (S)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Alex Skeba (A)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Genna Bebko (G)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Osasumwen E Benjamin (OE)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Yiming Wang (Y)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Mary L Phillips (ML)

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Biostatistics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania.

Classifications MeSH