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Individual Temporal Variability in Mood and Activity in BD Translates Across Time Scales and Represents a Promising Phenotyping Feature

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00388130" target="_blank" >RIV/68407700:21230/25:00388130 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1111/bdi.70046" target="_blank" >https://doi.org/10.1111/bdi.70046</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Individual Temporal Variability in Mood and Activity in BD Translates Across Time Scales and Represents a Promising Phenotyping Feature

  • Popis výsledku v původním jazyce

    Introduction: A high variability in clinical development is characteristic for clinical course in bipolar disorder (BD). However, it is unclear how the variability of clinical symptoms translates across different time-scales (intradaily, weekly and monthly) and whether variability in mood is connected to variability in actigraphy and specific to BD—the key questions answered in our study. Method: In our longitudinal observational study (AKTIBIPO), we followed a subset of 46 BD and 27 healthy (HC) participants using (i) weekly symptom questionnaire (ASERT, consisting of 4 depression, 4 mania), (ii) monthly clinician ratings (MADRS, YMRS), and (iii) continuous actigraphy with average follow-up duration of 2 years (35 months BD, 6 months HC). Additionally, we collected two weeks of bi-daily ecological momentary assessments. Standard deviation in each parameter was calculated over the whole observed period to represent individual variability. Results: In BD, variability in bi-daily mood was significantly correlated with variability in the weekly manic and depressive scores and variability in sleep duration. Variability in weekly scores was associated with variability of monthly clinical scales and intradaily variability from actigraphy (depression only). In HC, we observed no such association apart from variability in bi-daily mood and that of the weekly manic scores. Conclusion: Mood variability characterizes patients with BD across different time scales and correlates with actigraphy measures of variability—as such, it represents a promising phenotypic feature. In contrast, the association was not observed in HC, although on a smaller sample.

  • Název v anglickém jazyce

    Individual Temporal Variability in Mood and Activity in BD Translates Across Time Scales and Represents a Promising Phenotyping Feature

  • Popis výsledku anglicky

    Introduction: A high variability in clinical development is characteristic for clinical course in bipolar disorder (BD). However, it is unclear how the variability of clinical symptoms translates across different time-scales (intradaily, weekly and monthly) and whether variability in mood is connected to variability in actigraphy and specific to BD—the key questions answered in our study. Method: In our longitudinal observational study (AKTIBIPO), we followed a subset of 46 BD and 27 healthy (HC) participants using (i) weekly symptom questionnaire (ASERT, consisting of 4 depression, 4 mania), (ii) monthly clinician ratings (MADRS, YMRS), and (iii) continuous actigraphy with average follow-up duration of 2 years (35 months BD, 6 months HC). Additionally, we collected two weeks of bi-daily ecological momentary assessments. Standard deviation in each parameter was calculated over the whole observed period to represent individual variability. Results: In BD, variability in bi-daily mood was significantly correlated with variability in the weekly manic and depressive scores and variability in sleep duration. Variability in weekly scores was associated with variability of monthly clinical scales and intradaily variability from actigraphy (depression only). In HC, we observed no such association apart from variability in bi-daily mood and that of the weekly manic scores. Conclusion: Mood variability characterizes patients with BD across different time scales and correlates with actigraphy measures of variability—as such, it represents a promising phenotypic feature. In contrast, the association was not observed in HC, although on a smaller sample.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    20601 - Medical engineering

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EH22_008%2F0004643" target="_blank" >EH22_008/0004643: Dynamika mozku</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů