Department of Psychology, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197 Berlin, Germany.
Department of Psychology, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197 Berlin, Germany.
J Affect Disord. 2024 Aug 1;358:283-291. doi: 10.1016/j.jad.2024.02.068. Epub 2024 Feb 20.
Both ruminative thought processes and adverse childhood experiences (ACEs) are well-established risk factors for the emergence and maintenance of depression. However, the neurobiological mechanisms underlying these associations remain poorly understood.
We examined resting-state functional magnetic resonance imaging data (3 T Tim Trio MR scanner; Siemens, Erlangen) of 44 individuals diagnosed with an acute depressive episode. Specifically, we focused on investigating functional brain activity and connectivity within and between three large-scale neural networks associated with processes affected in depression: the default mode network (DMN), the salience network (SN), and the central executive network (CEN). Correlational and regression-based analyses were performed.
Our regions of interest analyses revealed that region-specific spontaneous neural activity in the anterior DMN was associated with self-reported trait rumination, specifically, the pregenual anterior cingulate cortex (pgACC). Furthermore, using a liberal statistical threshold, we found that spontaneous neural activity of the ventromedial prefrontal cortex and the pgACC were associated with depression symptom severity. Neither spontaneous neural activity in the SN and CEN nor functional connectivity within and across the investigated networks was associated with depression severity or rumination. Furthermore, there was no association between ACEs and brain activity and connectivity.
Lack of a formal control group or low-risk group for comparison.
Overall, our results indicate network-specific changes in spontaneous brain activity, that are linked to both depression severity and rumination. Findings underscore the crucial role of the pgACC in depression and contribute to a dimensional and symptom-based understanding of depression-related network imbalances.
沉思性思维过程和不良的童年经历(ACEs)都是抑郁发生和维持的既定风险因素。然而,这些关联的神经生物学机制仍知之甚少。
我们检查了 44 名被诊断为急性抑郁发作的个体的静息状态功能磁共振成像数据(3T Tim Trio MR 扫描仪;西门子,埃尔朗根)。具体来说,我们专注于研究与抑郁相关过程的三个大规模神经网络(默认模式网络(DMN)、突显网络(SN)和中央执行网络(CEN))中的功能大脑活动和连接。进行了相关和基于回归的分析。
我们的兴趣区域分析表明,DMN 前部区域的特定于区域的自发神经活动与自我报告的特质沉思有关,特别是前扣带皮层的前扣带回(pgACC)。此外,使用宽松的统计阈值,我们发现腹侧前额叶皮层和 pgACC 的自发神经活动与抑郁症状严重程度有关。SN 和 CEN 中的自发神经活动以及所研究网络内和跨网络的功能连接均与抑郁严重程度或沉思无关。此外,ACEs 与大脑活动和连接之间没有关联。
缺乏正式的对照组或低风险组进行比较。
总的来说,我们的结果表明自发大脑活动存在网络特异性变化,与抑郁严重程度和沉思有关。这些发现强调了 pgACC 在抑郁中的关键作用,并为基于维度和症状的抑郁相关网络失衡理解做出了贡献。