| Autor: |
Abigail Ortiz, Kamil Bradler, Maxine Mowete, Stephane MacLean, Julie Garnham, Claire Slaney, Benoit H. Mulsant, Martin Alda |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
International Journal of Bipolar Disorders, Vol 9, Iss 1, Pp 1-7 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2194-7511 |
| DOI: |
10.1186/s40345-021-00235-3 |
| Popis: |
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 assess whether these arise from different processes in each of these groups. Results There was a positive, short-term autocorrelation for both mood and energy series in all three groups. In the mood series, the largest Lyapunov exponent was found in HC (1.84), compared to BD (1.63) and FDR (1.71) groups [F (2, 87) = 8.42, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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