Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305.
Department of Radiology, Washington University, Saint Louis, MO 63110.
Proc Natl Acad Sci U S A. 2023 May 23;120(21):e2218958120. doi: 10.1073/pnas.2218958120. Epub 2023 May 15.
Major depressive disorder (MDD) is widely hypothesized to result from disordered communication across brain-wide networks. Yet, prior resting-state-functional MRI (rs-fMRI) studies of MDD have studied zero-lag temporal synchrony (functional connectivity) in brain activity absent directional information. We utilize the recent discovery of stereotyped brain-wide directed signaling patterns in humans to investigate the relationship between directed rs-fMRI activity, MDD, and treatment response to FDA-approved neurostimulation paradigm termed Stanford neuromodulation therapy (SNT). We find that SNT over the left dorsolateral prefrontal cortex (DLPFC) induces directed signaling shifts in the left DLPFC and bilateral anterior cingulate cortex (ACC). Directional signaling shifts in the ACC, but not the DLPFC, predict improvement in depression symptoms, and moreover, pretreatment ACC signaling predicts both depression severity and the likelihood of SNT treatment response. Taken together, our findings suggest that ACC-based directed signaling patterns in rs-fMRI are a potential biomarker of MDD.
重度抑郁症(MDD)被广泛认为是大脑广泛网络中通讯紊乱的结果。然而,先前关于 MDD 的静息态功能磁共振成像(rs-fMRI)研究仅研究了大脑活动中不存在方向信息的零延迟时间同步性(功能连接)。我们利用人类大脑中定向信号模式的最新发现,研究了定向 rs-fMRI 活动、MDD 以及对称为斯坦福神经调节治疗(SNT)的 FDA 批准的神经刺激范式的治疗反应之间的关系。我们发现,左背外侧前额叶皮层(DLPFC)的 SNT 诱导了左 DLPFC 和双侧前扣带皮层(ACC)的定向信号转移。ACC 中的定向信号转移而非 DLPFC 中的定向信号转移预测抑郁症状的改善,此外,预处理 ACC 信号预测了抑郁严重程度和 SNT 治疗反应的可能性。综上所述,我们的研究结果表明,rs-fMRI 中基于 ACC 的定向信号模式是 MDD 的潜在生物标志物。