Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA.
J Psychiatr Res. 2024 Aug;176:240-247. doi: 10.1016/j.jpsychires.2024.06.016. Epub 2024 Jun 11.
Suicide in youth and young adults is a serious public health problem. However, the biological mechanisms of suicidal ideation (SI) remain poorly understood. The primary goal of these analyses was to identify the connectome profile of suicidal ideation using resting state electroencephalography (EEG). We evaluated the neurocircuitry of SI in a sample of youths and young adults (aged 10-26 years, n = 111) with current or past diagnoses of either a depressive disorder or bipolar disorder who were enrolled in the Texas Resilience Against Depression Study (T-RAD). Neurocircuitry was analyzed using orthogonalized power envelope connectivity computed from resting state EEG. Suicidal ideation was assessed with the 3-item Suicidal Thoughts factor of the Concise Health Risk Tracking self-report scale. The statistical pipeline involved dimension reduction using principal component analysis, and the association of neuroimaging data with SI using regularized canonical correlation analysis. From the original 111 participants and the correlation matrix of 4950 EEG connectivity pairs in each band (alpha, beta, theta), dimension reduction generated 1305 EEG connectivity pairs in the theta band, 2337 EEG pairs in the alpha band, and 914 EEG connectivity pairs in the beta band. Overall, SI was consistently involved with dysfunction of the default mode network (DMN). This report provides preliminary evidence of DMN dysfunction associated with active suicidal ideation in adolescents. Using EEG using power envelopes to compute connectivity moves us closer to using neurocircuit dysfunction in the clinical setting to identify suicidal ideation.
青少年和青年的自杀是一个严重的公共卫生问题。然而，自杀意念（SI）的生物学机制仍知之甚少。这些分析的主要目的是使用静息态脑电图（EEG）来确定自杀意念的连接组特征。我们评估了当前或过去患有抑郁障碍或双相情感障碍的青少年和青年（年龄在 10-26 岁之间，n=111）样本中的 SI 神经回路，他们参加了德克萨斯州抗抑郁研究（T-RAD）。使用从静息态 EEG 计算的正交功率包络连接来分析神经回路。使用简明健康风险追踪自我报告量表的 3 项自杀意念因子评估自杀意念。统计分析流程包括使用主成分分析进行降维，以及使用正则化典型相关分析将神经影像学数据与 SI 进行关联。从最初的 111 名参与者和每个波段（α、β、θ）的 4950 个 EEG 连接对的相关矩阵中，降维生成了 1305 个θ波段的 EEG 连接对、2337 个α波段的 EEG 对和 914 个β波段的 EEG 连接对。总的来说，SI 与默认模式网络（DMN）的功能障碍一致。本报告提供了初步证据，表明 DMN 功能障碍与青少年主动自杀意念有关。使用 EEG 功率包络来计算连接，使我们更接近于使用神经回路功能障碍在临床环境中识别自杀意念。
