Department of Psychiatry and Medical Psychology, University of Ghent, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Department of Psychiatry and Medical Psychology, Ghent University, Ghent, Belgium.
J Clin Psychiatry. 2019 Oct 29;80(6):18m12661. doi: 10.4088/JCP.18m12661.
Difficulties in predicting suicidal behavior hamper effective suicide prevention. Therefore, there is a great need for reliable biomarkers, and neuroimaging may help to identify such markers.
Electroencephalography (EEG) was used to investigate resting state spatial-frequency power characteristics of female patients with major depressive disorder (MDD); 19 were recent suicide attempters (within the previous 30 days), 36 were suicide ideators, and 23 were nonsuicidal. Patients were enrolled at neuroCare Clinic Nijmegen (Nijmegen, the Netherlands) between May 2007 and November 2016, and the primary diagnosis of nonpsychotic MDD was confirmed using the Mini-International Neuropsychiatric Interview, DSM-IV criteria, and a score of ≥ 14 on the 21-item Beck Depression Inventory. Nonparametric, cluster-based permutation tests were applied to detect robust power differences between the study groups on the EEG broadband signal (2-100 Hz). Furthermore, a nonadaptive distributed source imaging method (eLORETA) was utilized to examine if these suicide-based frequency characteristics are localized in brain areas previously reported in the neuroimaging literature.
When compared to nonsuicidal depressed patients, attempters and ideators displayed both decreased beta and low gamma activity in the frontal regions. Moreover, ideators had increased alpha activity over the posterior regions and increased high beta, low gamma activity over the left occipital region when compared to psychiatric controls. Attempters had reduced beta and low gamma activity over the right temporal region when compared to ideators. In addition, eLORETA localized attempter and ideator reduced frontal activity within the orbito-, medial-, middle-, superior-, and inferior-frontal areas and the anterior cingulate cortex. In attempters, reduced right temporal activity was localized within the right inferior-, middle-, and superior-temporal cortices and the fusiform gyrus.
Frequency power characteristics of attempters and ideators are consistent with findings from the neuroimaging literature concerning suicide, implying EEG resting state assessment could become a potential biomarker to predict suicide risk.
预测自杀行为的困难阻碍了有效的自杀预防。因此，非常需要可靠的生物标志物，神经影像学可能有助于识别此类标志物。
使用脑电图（EEG）研究女性重度抑郁症（MDD）患者的静息状态空间频率功率特征；19 名是近期自杀未遂者（在过去 30 天内），36 名是自杀意念者，23 名是非自杀者。患者于 2007 年 5 月至 2016 年 11 月在 neuroCare 诊所 Nijmegen（荷兰奈梅亨）就诊，使用 Mini-国际神经精神访谈、DSM-IV 标准和贝克抑郁量表的 21 项中的得分≥14 来确认非精神病性 MDD 的主要诊断。非参数、基于集群的置换检验用于检测研究组之间 EEG 宽带信号（2-100Hz）的稳健功率差异。此外，还使用非自适应分布式源成像方法（eLORETA）来检查这些基于自杀的频率特征是否定位于神经影像学文献中先前报道的脑区。
与非自杀性抑郁患者相比，未遂者和意念者在前额区域显示出β和低γ活动减少。此外，与精神病对照组相比，意念者在后部区域显示出α活动增加，在左侧枕叶区域显示出高β、低γ活动增加。与意念者相比，未遂者在右侧颞叶区域的β和低γ活动减少。此外，eLORETA 将未遂者和意念者的额叶活动定位于眶额、内侧额、中额、上额和下额区域以及前扣带皮质。在未遂者中，右侧颞叶的减少活动定位于右侧颞下回、中回和上回以及梭状回。
未遂者和意念者的频率功率特征与神经影像学文献中关于自杀的研究结果一致，这表明 EEG 静息状态评估可能成为预测自杀风险的潜在生物标志物。
