Amico Francesco, Frye Richard E, Shannon Scott, Rondeau Steve
Neotherapy, Second Level, 2225 N Commerce Pkwy Suite #6, Weston, FL 33326, USA.
Texas Center for Lifestyle Medicine, 333 West Loop N. Ste 250, Houston, TX 77024, USA.
J Pers Med. 2023 May 24;13(6):884. doi: 10.3390/jpm13060884.
Suicide is a global phenomenon that impacts individuals, families, and communities from all income groups and all regions worldwide. While it can be prevented if personalized interventions are implemented, more objective and reliable diagnostic methods are needed to complement interview-based risk assessments. In this context, electroencephalography (EEG) might play a key role. We systematically reviewed EEG resting state studies of adults with suicide ideation (SI) or with a history of suicide attempts (SAs). After searching for relevant studies using the PubMed and Web of Science databases, we applied the PRISMA method to exclude duplicates and studies that did not match our inclusion criteria. The selection process yielded seven studies, which suggest that imbalances in frontal and left temporal brain regions might reflect abnormal activation and correlate with psychological distress. Furthermore, asymmetrical activation in frontal and posterior cortical regions was detected in high-risk depressed persons, although the pattern in the frontal region was inverted in non-depressed persons. The literature reviewed suggests that SI and SA may be driven by separate neural circuits and that high-risk persons can be found within non-depressed populations. More research is needed to develop intelligent algorithms for the automated detection of high-risk EEG anomalies in the general population.
自杀是一种全球现象,影响着世界各地所有收入群体和所有地区的个人、家庭和社区。虽然如果实施个性化干预措施,自杀是可以预防的,但仍需要更客观、可靠的诊断方法来补充基于访谈的风险评估。在这种情况下,脑电图(EEG)可能发挥关键作用。我们系统地回顾了关于有自杀意念(SI)或有自杀未遂史(SA)的成年人的脑电图静息状态研究。在使用PubMed和科学网数据库搜索相关研究后,我们应用PRISMA方法排除重复研究和不符合我们纳入标准的研究。筛选过程产生了七项研究,这些研究表明额叶和左颞叶脑区的失衡可能反映异常激活,并与心理困扰相关。此外,在高危抑郁症患者中检测到额叶和后皮质区域的不对称激活,尽管在非抑郁症患者中额叶区域的模式是相反的。所回顾的文献表明,自杀意念和自杀未遂可能由不同的神经回路驱动,并且在非抑郁症人群中也能发现高危人群。需要更多的研究来开发智能算法,以自动检测普通人群中的高危脑电图异常。