Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response.
Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response.
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DOI：
10.1016/j.biopsych.2022.03.020
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发表时间：
2022-10-01
影响因子：
10.6
通讯作者：
中科院分区：
文献类型：
--
作者：
由于缺乏预测或监测治疗反应的客观工具，有效的抗抑郁治疗一直受到阻碍。本研究旨在通过测试抗抑郁反应的新型动态静息状态功能网络标记物来解决这一差距。临床护理中抗抑郁反应的建立调节因子和生物特征（EMBARC）研究将患有重度抑郁症的成年人随机分配至舍曲林或安慰剂组8周，并纵向评估抑郁严重程度。参与者完成了治疗前的静息状态神经影像学检查，并在治疗1周后再次进行（n = 259）。共激活模式分析确定了空间共激活的周期性全脑状态，并计算出每个参与者在每个状态下花费的时间是主要的动态测量。多层次模型估计预处理网络动态和舍曲林反应之间的关联和早期（预处理1周）网络动态和舍曲林反应之间的变化。早期舍曲林反应的动态网络标记物包括与典型默认和显着性网络一致的网络状态中的时间增加，以及以扣带和腹侧边缘或颞叶区域的共激活为特征的网络状态中的时间减少。舍曲林对抑郁症康复的影响是通过这些动态网络变化介导的。相反，皮质边缘和额岛默认网络的动态功能的早期变化与治疗组间常见的症状恢复模式有关。早期抗抑郁反应或一般恢复的动态静息状态标记物可能有助于开发用于监测和预测有效干预的临床工具。
Delivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing novel dynamic resting-state functional network markers of antidepressant response. The Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study randomized adults with major depressive disorder to 8 weeks of either sertraline or placebo, and depression severity was evaluated longitudinally. Participants completed resting-state neuroimaging pretreatment and again after 1 week of treatment (n = 259 eligible for analyses). Coactivation pattern analyses identified recurrent whole-brain states of spatial coactivation, and computed time spent in each state for each participant was the main dynamic measure. Multilevel modeling estimated the associations between pretreatment network dynamics and sertraline response and between early (pretreatment to 1 week) changes in network dynamics and sertraline response. Dynamic network markers of early sertraline response included increased time in network states consistent with canonical default and salience networks, together with decreased time in network states characterized by coactivation of cingulate and ventral limbic or temporal regions. The effect of sertraline on depression recovery was mediated by these dynamic network changes. In contrast, early changes in dynamic functioning of corticolimbic and frontoinsular-default networks were related to patterns of symptom recovery common across treatment groups. Dynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.
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影响因子：
2.9
作者：
Gudayol-Ferré E;Peró-Cebollero M;González-Garrido AA;Guàrdia-Olmos J
通讯作者：
Guàrdia-Olmos J
影响因子：
25.8
作者：
Kaiser, Roselinde H.;Andrews-Hanna, Jessica R.;Wager, Tor D.;Pizzagalli, Diego A.
通讯作者：
Pizzagalli, Diego A.
DOI：
10.1176/appi.neuropsych.19.3.274
发表时间：
2007-06-01
影响因子：
2.9
作者：
Anand, Amit;Li, Yu;Lowe, Mark J.
通讯作者：
Lowe, Mark J.
影响因子：
3.1
作者：
Kessler, Ronald C.;Petukhova, Maria;Sampson, Nancy A.;Zaslavsky, Alan M.;Wittchen, Hans-Ullrich
通讯作者：
Wittchen, Hans-Ullrich
影响因子：
10.6
作者：
Ang YS;Kaiser R;Deckersbach T;Almeida J;Phillips ML;Chase HW;Webb CA;Parsey R;Fava M;McGrath P;Weissman M;Adams P;Deldin P;Oquendo MA;McInnis MG;Carmody T;Bruder G;Cooper CM;Chin Fatt CR;Trivedi MH;Pizzagalli DA
通讯作者：
Pizzagalli DA