Sharpley Christopher F, Bitsika Vicki, Arnold Wayne M, Shadli Shabah M, Jesulola Emmanuel, Agnew Linda L
Brain-Behavior Research Group, University of New England, Armidale, NSW, Australia.
Front Psychiatry. 2023 Jun 28;14:1194318. doi: 10.3389/fpsyt.2023.1194318. eCollection 2023.
Although depression is widespread carries a major disease burden, current treatments remain non-universally effective, arguably due to the heterogeneity of depression, and leading to the consideration of depressive "subtypes" or "depressive behavior subtypes." One such model of depressive behavior (DB) subtypes was investigated for its associations with frontal lobe asymmetry (FLA), using a different data analytic procedure than in previous research in this field.
100 community volunteers (54 males, 46 females) aged between 18 yr. and 75 years ( = 32.53 yr., SD = 14.13 yr) completed the Zung Self-rating Depression Scale (SDS) and underwent 15 min of eyes closed EEG resting data collection across 10 frontal lobe sites. DB subtypes were defined on the basis of previous research using the SDS, and alpha-wave (8-13 Hz) data produced an index of FLA. Data were examined via network analysis.
Several network analyses were conducted, producing two models of the association between DB subtypes and FLA, confirming unique neurophysiological profiles for each of the four DB subtypes.
As well as providing a firm basis for using these DB subtypes in clinical settings, these findings provide a reasonable explanation for the inconsistency in previous FLA-depression research.
尽管抑郁症普遍存在且带来重大疾病负担,但目前的治疗方法并非对所有患者都有效,这可能是由于抑郁症的异质性所致,从而引发了对抑郁“亚型”或“抑郁行为亚型”的思考。本研究采用了与该领域以往研究不同的数据分析方法,对一种抑郁行为(DB)亚型模型与额叶不对称性(FLA)之间的关联进行了调查。
100名年龄在18岁至75岁之间的社区志愿者(54名男性,46名女性)(平均年龄=32.53岁,标准差=14.13岁)完成了zung自评抑郁量表(SDS),并在10个额叶部位进行了15分钟的闭眼脑电图静息数据采集。DB亚型是根据以往使用SDS的研究定义的,α波(8-13Hz)数据生成了FLA指数。通过网络分析对数据进行了检查。
进行了多项网络分析,得出了DB亚型与FLA之间关联的两种模型,证实了四种DB亚型各自独特的神经生理特征。
这些发现不仅为在临床环境中使用这些DB亚型提供了坚实的基础,也为以往FLA-抑郁症研究中的不一致性提供了合理的解释。