@article{ref1,
title="EEG source functional connectivity in patients after a recent suicide attempt",
journal="Clinical neurophysiology",
year="2023",
author="Bankwitz, Anna and Rüesch, Annia and Adank, Atalìa and Hörmann, Christoph and Villar de Araujo, Tania and Schoretsanitis, Georgios and Kleim, Birgit and Olbrich, Sebastian",
volume="154",
number="",
pages="60-69",
abstract="OBJECTIVE: Electroencephalogram (EEG) based frequency measures within the alpha frequency range (AFR), including functional connectivity, show potential in assessing the underlying pathophysiology of depression and suicide-related outcomes. We investigated the association between AFR connectivity, suicidal thoughts and behaviors, and depression in a transdiagnostic sample of patients after a recent suicide attempt (SA). <br><br>METHODS: Lagged source-based measures of linear and nonlinear whole-brain connectivity within the standard AFR ([sAFR], 8-12 Hz) and the individually referenced AFR (iAFR) were applied to 70 15-minute resting-state EEGs from patients after a SA and 70 age- and gender-matched healthy controls (HC). Hypotheses were tested using network-based statistics and multiple regression models. <br><br>RESULTS: Results showed no significant differences between patients after a SA and HC in any of the assessed connectivity modalities. However, a subgroup analysis revealed significantly increased nonlinear connectivity within the sAFR for patients after a SA with a depressive disorder or episode ([DD], n = 53) compared to matched HC. Furthermore, a multiple regression model, including significant main effects for group and global nonlinear connectivity within the sAFR outperformed all other models in explaining variance in depressive symptom severity. <br><br>CONCLUSIONS: Our study further supports the importance of the AFR in pathomechanisms of suicidality and depression. The iAFR does not seem to improve validity of phase-based connectivity. SIGNIFICANCE: Our results implicate distinct neurophysiological patterns in suicidal subgroups. Exploring the potential of these patterns for treatment stratification might advance targeted interventions for suicidal thoughts and behaviors.<p /> <p>Language: en</p>",
language="en",
issn="1388-2457",
doi="10.1016/j.clinph.2023.06.025",
url="http://dx.doi.org/10.1016/j.clinph.2023.06.025"
}