Das Jnanamay, Yadav Shailly
Department of Psychiatry, ESI Hospital, Sector-15, Rohini, New Delhi, India.
Indian J Psychol Med. 2020 Jan 6;42(1):30-38. doi: 10.4103/IJPSYM.IJPSYM_568_17. eCollection 2020 Jan-Feb.
A significant number of quantitative electroencephalogram (qEEG) studies indicate that increased spectral activities distinguish patients with depressive disorder from control subjects. But they did not yield consistent findings in the delta, theta, alpha, or beta bands.
A total of 30 drug-naïve or drug-free subjects with a depressive episode or recurrent depressive disorder were compared with 30 age, sex, education, and handedness-matched healthy controls using qEEG power spectra in six frequency bands (delta, theta, alpha, beta, slow beta, and fast beta) and total activities separately. Spectral analysis was performed on a section of 180 s of qEEG digitized at the rate of 512 samples/s/channel, and absolute powers were log-transformed before statistical analysis.
Statistically significant differences between the patients and normal controls were found in the delta and the total bands, while Structured Interview Guide for the Hamilton Depression Rating Scale ( SIGH-D) score predicted the fast beta spectral power at the left temporal region. In the entire region of the brain, in the theta band, lesser absolute spectral power was found in patients than normal controls, whereas in the fast beta band, it was greater. In other bands, greater powers of spectral activities were found in patients than normal controls consistently in the parietal and occipital regions.
Various findings of qEEG absolute power spectra could demonstrate a difference between the patients with depressive disorder and the normal controls independently and efficiently. However, all the differences collectively showed stronger evidence. The findings may steer future studies to differentiate the patients with depressive disorder from controls.
大量定量脑电图(qEEG)研究表明,频谱活动增加可区分抑郁症患者与对照组。但在δ、θ、α或β频段并未得出一致的结果。
使用六个频段(δ、θ、α、β、慢β和快β)的qEEG功率谱及总活动,将30名患有抑郁发作或复发性抑郁症且未服用药物或已停药的受试者与30名年龄、性别、教育程度和利手匹配的健康对照进行比较,并分别进行分析。对以512样本/秒/通道的速率数字化的180秒qEEG片段进行频谱分析,在统计分析前对绝对功率进行对数转换。
在δ频段和总频段发现患者与正常对照之间存在统计学显著差异,而汉密尔顿抑郁量表结构化访谈指南(SIGH-D)评分可预测左颞区的快β频谱功率。在全脑区域,θ频段患者的绝对频谱功率低于正常对照,而快β频段则高于正常对照。在其他频段,患者在顶叶和枕叶区域的频谱活动功率始终高于正常对照。
qEEG绝对功率谱的各种结果能够独立且有效地显示抑郁症患者与正常对照之间的差异。然而,所有差异共同显示出更强的证据。这些发现可能为未来区分抑郁症患者与对照组的研究提供指导。