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电抽搐治疗对精神分裂症和重度抑郁症大脑网络的跨诊断调节。

Transdiagnostic modulation of brain networks by electroconvulsive therapy in schizophrenia and major depression.

机构信息

Department of Neuroscience (DNS), University of Padova, Padua, Italy.

Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, 69115 Heidelberg, Germany; Center for Mental Health, Odenwald District Healthcare Center, Erbach, Germany.

出版信息

Eur Neuropsychopharmacol. 2019 Aug;29(8):925-935. doi: 10.1016/j.euroneuro.2019.06.002. Epub 2019 Jul 3.

DOI:10.1016/j.euroneuro.2019.06.002
PMID:31279591
Abstract

Major depressive disorder (MDD) and schizophrenia (SCZ) share neurobiological and clinical commonalities. Altered functional connectivity of large-scale brain networks has been associated with both disorders. Electroconvulsive therapy (ECT) has proven to be an effective treatment in severe forms of MDD and SCZ. However, the role of ECT on the modulation of the dynamics of brain networks is still unknown. In this study, we used resting state functional magnetic resonance imaging (rs-fMRI) to investigate functional connectivity in 16 pharmacoresistant patients with SCZ or MDD and a matched group of normal controls. Patients were scanned before and after right-sided unilateral ECT. Group spatial independent component analysis was carried out with a multiple analysis of covariance (MANCOVA) approach to estimate the effects of ECT treatment on intrinsic components (INs). Functional network connectivity (FNC) was calculated between pairs of INs. Patients had reduced connectivity within a striato-thalamic network in the thalamus as well as increased low frequency oscillations in a striatal network. ECT reduced low frequency oscillations (LFOs) on a striatal network along with increasing functional connectivity in the medial prefrontal cortex within the DMN. Following ECT treatment, the FNC of the executive network was reduced with the DMN and increased with the salience network, respectively. Our findings suggest transnosological effects of ECT on the connectivity of large-scale networks as well as at the level of their interplay. Furthermore, they support a transnosological approach for the investigation not only of the neural correlates of the disease but also of the brain mechanism of treatment of mental disorders.

摘要

重性抑郁障碍(MDD)和精神分裂症(SCZ)具有神经生物学和临床的共同特征。大规模脑网络的功能连接改变与这两种疾病都有关。电休克疗法(ECT)已被证明是治疗严重 MDD 和 SCZ 的有效方法。然而,ECT 对脑网络动态调制的作用仍不清楚。在这项研究中,我们使用静息态功能磁共振成像(rs-fMRI)来研究 16 例药物难治性 SCZ 或 MDD 患者和匹配的正常对照组的功能连接。患者在右侧单侧 ECT 前后进行扫描。采用多元协方差分析(MANCOVA)方法进行组空间独立成分分析,以估计 ECT 治疗对内在成分(IN)的影响。计算了 IN 之间的功能网络连接(FNC)。患者在丘脑的纹状体-丘脑网络内的连接减少,在纹状体网络内的低频振荡增加。ECT 降低了纹状体网络中的低频振荡(LFO),同时增加了默认模式网络中内侧前额叶皮层的功能连接。ECT 治疗后,执行网络的 FNC 分别与默认模式网络和突显网络的减少和增加有关。我们的发现表明 ECT 对大规模网络连接以及它们相互作用水平具有跨疾病的影响。此外,它们支持跨疾病的方法来研究不仅是疾病的神经相关物,还有精神障碍的大脑治疗机制。

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