The futility of long-term predictions in bipolar disorder: mood fluctuations are the result of deterministic chaotic processes.

ABSTRACT:

Background

Understanding the underlying architecture of mood regulation in bipolar disorder (BD) is important, as we are starting to conceptualize BD as a more complex disorder than one of recurring manic or depressive episodes. Nonlinear techniques are employed to understand and model the behavior of complex systems. Our aim was to assess the underlying nonlinear properties that account for mood and energy fluctuations in patients with BD; and to compare whether these processes were different in healthy controls (HC) and unaffected first-degree relatives (FDR). We used three different nonlinear techniques: Lyapunov exponent, detrended fluctuation analysis and fractal dimension to assess the underlying behavior of mood and energy fluctuations in all groups; and subsequently to asse

SUBMITTER: Ortiz A 

PROVIDER: S-EPMC8486895 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature