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使用静息态功能磁共振成像评估耐药性抑郁症主要脑网络内及网络间的连通性

Evaluation of Intra- and Inter-Network Connectivity within Major Brain Networks in Drug-Resistant Depression Using rs-fMRI.

作者信息

Machaj Weronika, Podgórski Przemysław, Maciaszek Julian, Piotrowski Patryk, Szcześniak Dorota, Korbecki Adrian, Rymaszewska Joanna, Zimny Anna

机构信息

Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.

Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland.

出版信息

J Clin Med. 2024 Sep 18;13(18):5507. doi: 10.3390/jcm13185507.

DOI:10.3390/jcm13185507
PMID:39336994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11431996/
Abstract

Major Depressive Disorder (MDD) is a significant challenge in modern medicine due to its unclear underlying causes. Brain network dysfunction is believed to play a key role in its pathophysiology. Resting-state functional MRI (rs-fMRI), a neuroimaging technique, enables the in vivo assessment of functional connectivity (FC) between brain regions, offering insights into these network dysfunctions. The aim of this study was to evaluate abnormalities in FC within major brain networks in patients with drug-resistant MDD. The study group consisted of 26 patients with drug-resistant MDD and an age-matched control group (CG) of 26 healthy subjects. The rs-fMRI studies were performed on a 3T MR scanner (Philips, Ingenia) using a 32-channel head and neck coil. Imaging data were statistically analyzed, focusing on the intra- and inter-network FC of the following networks: default mode (DMN), sensorimotor (SMN), visual (VN), salience (SN), cerebellar (CN), dorsal attention (DAN), language (LN), and frontoparietal (FPN). In patients with MDD, the intra-network analysis showed significantly decreased FC between nodes within VN compared to CG. In contrast, the inter-network analysis showed significantly increased FC between nodes from VN and SN or VN and DAN compared to CG. Decreased FC was found between SN and CN or SN and FPN as well as VN and DAN nodes compared to CG. Patients with MDD showed significant abnormalities in resting-state cortical activity, mainly regarding inter-network functional connectivity. These results contribute to the knowledge on the pathomechanism of MDD and may also be useful for developing new treatments.

摘要

重度抑郁症(MDD)因其潜在病因不明,成为现代医学面临的一项重大挑战。脑网络功能障碍被认为在其病理生理学中起关键作用。静息态功能磁共振成像(rs-fMRI)作为一种神经成像技术,能够在体内评估脑区之间的功能连接(FC),为了解这些网络功能障碍提供线索。本研究的目的是评估耐药性MDD患者主要脑网络内FC的异常情况。研究组由26例耐药性MDD患者和26名年龄匹配的健康受试者组成的对照组(CG)。rs-fMRI研究在一台3T磁共振扫描仪(飞利浦,Ingenia)上进行,使用32通道头颈部线圈。对成像数据进行统计分析,重点关注以下网络的网络内和网络间FC:默认模式(DMN)、感觉运动(SMN)、视觉(VN)、突显(SN)、小脑(CN)、背侧注意(DAN)、语言(LN)和额顶叶(FPN)。在MDD患者中,网络内分析显示,与CG相比,VN内节点之间的FC显著降低。相比之下,网络间分析显示,与CG相比,VN和SN或VN和DAN节点之间的FC显著增加。与CG相比,SN和CN或SN和FPN以及VN和DAN节点之间发现FC降低。MDD患者在静息态皮质活动中表现出显著异常,主要涉及网络间功能连接。这些结果有助于了解MDD的发病机制,也可能有助于开发新的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/3ad7dfc8f203/jcm-13-05507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/dbe8df28a603/jcm-13-05507-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/cd33bd6a339e/jcm-13-05507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/3ad7dfc8f203/jcm-13-05507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/dbe8df28a603/jcm-13-05507-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/8d24abf95969/jcm-13-05507-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/33eaab6564f2/jcm-13-05507-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f969/11431996/3ad7dfc8f203/jcm-13-05507-g005.jpg

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本文引用的文献

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Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium.首发和复发性重度抑郁症中大规模网络的不同静息态有效连接性:来自REST-meta-MDD联盟的证据。
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