Mónika Gálber , Szilvia Anett Nagy , Gergely Orsi , Gábor Perlaki , Maria Simon , Boldizsár Czéh
{"title":"Depressed patients with childhood maltreatment display altered intra- and inter-network resting state functional connectivity","authors":"Mónika Gálber , Szilvia Anett Nagy , Gergely Orsi , Gábor Perlaki , Maria Simon , Boldizsár Czéh","doi":"10.1016/j.nicl.2024.103632","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Childhood maltreatment (CM) is a major risk factor for the development of major depressive disorder (MDD). To gain more knowledge on how adverse childhood experiences influence the development of brain architecture, we studied functional connectivity (FC) alterations of neural networks of depressed patients with, or without the history of CM.</p></div><div><h3>Methods</h3><p>Depressed patients with severe childhood maltreatment (<em>n</em> = 18), MDD patients without maltreatment (<em>n</em> = 19), and matched healthy controls (<em>n</em> = 20) were examined with resting state functional MRI. History of maltreatment was assessed with the 28-item Childhood Trauma Questionnaire. Intra- and inter-network FC alterations were evaluated using FMRIB Software Library and CONN toolbox.</p></div><div><h3>Results</h3><p>We found numerous intra- and inter-network FC alterations between the maltreated and the non-maltreated patients. Intra-network FC differences were found in the default mode, visual and auditory networks, and cerebellum. Network modelling revealed several inter-network FC alterations connecting the default mode network with the executive control, salience and cerebellar networks. Increased inter-network FC was found in maltreated patients between the sensory-motor and visual, cerebellar, default mode and salience networks.</p></div><div><h3>Limitations</h3><p>Relatively small sample size, cross-sectional design, and retrospective self-report questionnaire to assess adverse childhood experiences.</p></div><div><h3>Conclusions</h3><p>Our findings confirm that severely maltreated depressed patients display numerous alterations of intra- and inter-network FC strengths, not only in their fronto-limbic circuits, but also in sensory-motor, visual, auditory, and cerebellar networks. These functional alterations may explain that maltreated individuals typically display altered perception and are prone to develop functional neurological symptom disorder (conversion disorder) in adulthood.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000718/pdfft?md5=a97c5d34105fe2b943bc524d2688fcac&pid=1-s2.0-S2213158224000718-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroimage-Clinical","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213158224000718","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Childhood maltreatment (CM) is a major risk factor for the development of major depressive disorder (MDD). To gain more knowledge on how adverse childhood experiences influence the development of brain architecture, we studied functional connectivity (FC) alterations of neural networks of depressed patients with, or without the history of CM.
Methods
Depressed patients with severe childhood maltreatment (n = 18), MDD patients without maltreatment (n = 19), and matched healthy controls (n = 20) were examined with resting state functional MRI. History of maltreatment was assessed with the 28-item Childhood Trauma Questionnaire. Intra- and inter-network FC alterations were evaluated using FMRIB Software Library and CONN toolbox.
Results
We found numerous intra- and inter-network FC alterations between the maltreated and the non-maltreated patients. Intra-network FC differences were found in the default mode, visual and auditory networks, and cerebellum. Network modelling revealed several inter-network FC alterations connecting the default mode network with the executive control, salience and cerebellar networks. Increased inter-network FC was found in maltreated patients between the sensory-motor and visual, cerebellar, default mode and salience networks.
Limitations
Relatively small sample size, cross-sectional design, and retrospective self-report questionnaire to assess adverse childhood experiences.
Conclusions
Our findings confirm that severely maltreated depressed patients display numerous alterations of intra- and inter-network FC strengths, not only in their fronto-limbic circuits, but also in sensory-motor, visual, auditory, and cerebellar networks. These functional alterations may explain that maltreated individuals typically display altered perception and are prone to develop functional neurological symptom disorder (conversion disorder) in adulthood.
背景儿童虐待(CM)是重度抑郁症(MDD)发病的一个主要风险因素。为了进一步了解不良童年经历如何影响大脑结构的发展,我们研究了有或无CM史的抑郁症患者神经网络的功能连接(FC)改变。方法:我们对有严重童年虐待史的抑郁症患者(18人)、无虐待史的MDD患者(19人)和匹配的健康对照组(20人)进行了静息状态功能磁共振成像检查。虐待史通过28项儿童创伤问卷进行评估。使用FMRIB软件库和CONN工具箱评估了网络内和网络间FC的改变。在默认模式、视觉和听觉网络以及小脑中发现了网络内 FC 的差异。网络模型揭示了连接默认模式网络与执行控制、显著性和小脑网络的若干网络间FC改变。局限性相对较小的样本量、横断面设计以及评估童年不良经历的回顾性自我报告问卷。结论我们的研究结果证实,严重受虐待的抑郁症患者不仅在其前肢回路中,而且在感觉运动、视觉、听觉和小脑网络中都显示出许多网络内和网络间FC强度的改变。这些功能性改变可能解释了为什么受虐待的人通常会表现出知觉改变,并容易在成年后出现功能性神经症状障碍(转换障碍)。
期刊介绍:
NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging.
The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.