Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112201, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan.
Center for Quality Management, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
Neurosci Lett. 2021 Oct 15;763:136178. doi: 10.1016/j.neulet.2021.136178. Epub 2021 Aug 18.
Hippocampal volume reduction was reported to underlie depressive symptomatology, however, the evidence to date remains inconsistent. For the complex intrinsic organization of hippocampus, the hippocampal volumes can be further divided into subfields or axial parts. The current study aimed to explore the alterations of hippocampal sub-regional volumes in first episode drug-naïve major depressive disorder (MDD) by two segmentation methods. Thirty-five first-episode drug-naïve MDD and 35 age- and gender-matched healthy controls (HC) were recruited. Volumes of three sub-regions of hippocampus along the longitudinal axis (head, body and tail) were analyzed manually and eight transverse subfields were automatically determined using FreeSurfer. An asymmetric index (AI) of volumes was defined as (∣Left - Right∣/∣Left + Right∣) * 100. There were significant reductions in the volumes of bilateral hippocampal head in MDD compared to HC. The volumes of eight subfields were not different between groups. MDD patients had higher AI values in the subfield of cornu ammonis 4/dentate gyrus than HC. The change in hippocampal sub-regional volumes might be an imaging biomarker in the first-episode, drug-naïve patients with MDD. Current findings may contribute to developing new diagnostic and therapeutic strategies for major depression.
海马体积减少被认为是抑郁症状的基础,但迄今为止的证据仍然不一致。对于海马复杂的内在组织结构,可以将海马体积进一步分为亚区或轴向部分。本研究旨在通过两种分割方法探讨首发未用药的重度抑郁症(MDD)患者海马亚区体积的变化。招募了 35 名首发未用药的 MDD 患者和 35 名年龄和性别匹配的健康对照者(HC)。手动分析了沿纵轴的三个海马亚区(头、体和尾)的体积,并用 FreeSurfer 自动确定了 8 个横断亚区。体积的不对称指数(AI)定义为(∣Left - Right∣/∣Left + Right∣)* 100。与 HC 相比,MDD 患者双侧海马头体积明显减小。各组间 8 个亚区的体积无差异。与 HC 相比,MDD 患者齿状回和角回的亚区 AI 值更高。海马亚区体积的变化可能是首发、未用药 MDD 患者的影像学生物标志物。目前的研究结果可能有助于为重度抑郁症开发新的诊断和治疗策略。