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氯胺酮对重性抑郁障碍反应抑制时脑-小脑回路的调制作用。

Ketamine's modulation of cerebro-cerebellar circuitry during response inhibition in major depression.

机构信息

Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA.

Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA.

出版信息

Neuroimage Clin. 2021;32:102792. doi: 10.1016/j.nicl.2021.102792. Epub 2021 Sep 9.

Abstract

Patients with major depressive disorder (MDD) exhibit impaired control of cognitive and emotional systems, including deficient response selection and inhibition. Though these deficits are typically attributed to abnormal communication between macro-scale cortical networks, altered communication with the cerebellum also plays an important role. Yet, how the circuitry between the cerebellum and large-scale functional networks impact treatment outcome in MDD is not understood. We thus examined how ketamine, which elicits rapid therapeutic effects in MDD, modulates cerebro-cerebellar circuitry during response-inhibition using a functional imaging NoGo/Go task in MDD patients (N = 46, mean age: 39.2, 38.1% female) receiving four ketamine infusions, and healthy controls (N = 32, mean age:35.2, 71.4% female). We fitted psychophysiological-interaction (PPI) models for a functionally-derived cerebellar-seed and extracted average PPI in three target functional networks, frontoparietal (FPN), sensory-motor (SMN) and salience (SN) networks. Time and remission status were then evaluated for each of the networks and their network-nodes. Follow-up tests examined whether PPI-connectivity differed between patient remitter/non-remitters and controls. Results showed significant decreases in PPI-connectivity after ketamine between the cerebellum and FPN (p < 0.001) and SMN networks (p = 0.008) in remitters only (N = 20). However, ketamine-related changes in PPI-connectivity between the cerebellum and the SN (p = 0.003) did not vary with remitter status. Cerebellar-FPN, -SN PPI values at baseline were also associated with treatment outcome. Using novel methodology to quantify the functional coupling of cerebro-cerebellar circuitry during response-inhibition, our findings highlight that these loops play distinct roles in treatment response and could potentially serve as novel biomarkers for fast-acting antidepressant therapies in MDD.

摘要

患有重度抑郁症(MDD)的患者表现出认知和情绪系统的控制受损,包括反应选择和抑制的缺陷。尽管这些缺陷通常归因于大尺度皮质网络之间的异常通信,但与小脑的通信改变也起着重要作用。然而,小脑与大尺度功能网络之间的电路如何影响 MDD 的治疗效果尚不清楚。因此,我们使用 MDD 患者(N=46,平均年龄:39.2,38.1%女性)和健康对照组(N=32,平均年龄:35.2,71.4%女性)接受四次氯胺酮输注期间的功能成像 NoGo/Go 任务,研究了氯胺酮如何调节反应抑制过程中的脑-小脑电路。我们为功能衍生的小脑种子拟合了心理生理交互(PPI)模型,并从三个目标功能网络(额顶网络(FPN)、感觉运动网络(SMN)和突显网络(SN))中提取平均 PPI。然后,评估了每个网络及其网络节点的时间和缓解状态。随访测试检查了患者缓解者/非缓解者和对照组之间的 PPI 连接是否存在差异。结果表明,只有缓解者(N=20)的小脑与 FPN(p<0.001)和 SMN 网络(p=0.008)之间的 PPI 连接在氯胺酮治疗后显著降低。然而,小脑与 SN(p=0.003)之间的 PPI 连接的氯胺酮相关变化与缓解者状态无关。小脑-FPN、-SN PPI 值在基线时也与治疗结果相关。使用新的方法学来量化反应抑制过程中脑-小脑电路的功能耦合,我们的研究结果表明,这些回路在治疗反应中发挥着不同的作用,并且可能成为 MDD 中快速作用抗抑郁治疗的新型生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f571/8476854/4dd93e31e8d4/gr1.jpg

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