{"title":"行为成瘾的异常结构改变和功能连接中断:VBM和fMRI研究的荟萃分析。","authors":"Xinglin Zeng, Xinyang Han, Fei Gao, Yinghao Sun, Zhen Yuan","doi":"10.1556/2006.2023.00025","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Altered large-scale brain systems, including structural alterations and resting-state functional connectivity (rs-FC) changes, have been demonstrated as effective system-level biomarkers for revealing potential neural mechanism of multiple brain disorders. However, identifying consistent abnormalities of large-scale brain systems in behavioral addictions (BA) is challenging due to varying methods and inconsistent results. Therefore, the aim of this study was to identify the significantly abnormal large-scale brain systems in BA.</p><p><strong>Method: </strong>PubMed, OVID Embase, OVID Medline, and Web of Science were searched with relevant keywords to identify potential studies. A total of 52 studies including 35 rs-FC studies and 17 structural studies were examined by extracting the coordinates of seeds and target brain regions. The seeds were then categorized into predefined seven networks by their locations based on previous parcellations in rs-FC studies, followed by pooling the results in those networks.</p><p><strong>Results: </strong>The rs-FC findings illustrated that BA were characterized as abnormal networks in response to inhibition, salience attribution, self-referential mental process, and reward-driven behaviors. Meanwhile, meta-analysis of structural studies showed decreased gray matter volume in the anterior cingulate cortex, extending to the middle cingulate cortex and the superior frontal gyrus. Importantly, overlapping regions in the cingulate cortex and anterior thalamus projections extending to caudate regions exhibited both dysfunctions in structure and rs-FC.</p><p><strong>Conclusions: </strong>This study highlighted substantial dysconnectivity in BA, which might result in impaired response to inhibition and salience attribution. Therefore, this study might provide novel insights of neural biomarkers for clinical diagnoses and treatment targets for BA.</p>","PeriodicalId":15049,"journal":{"name":"Journal of Behavioral Addictions","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/64/e2/jba-12-599.PMC10562811.pdf","citationCount":"0","resultStr":"{\"title\":\"Abnormal structural alterations and disrupted functional connectivity in behavioral addiction: A meta-analysis of VBM and fMRI studies.\",\"authors\":\"Xinglin Zeng, Xinyang Han, Fei Gao, Yinghao Sun, Zhen Yuan\",\"doi\":\"10.1556/2006.2023.00025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Altered large-scale brain systems, including structural alterations and resting-state functional connectivity (rs-FC) changes, have been demonstrated as effective system-level biomarkers for revealing potential neural mechanism of multiple brain disorders. However, identifying consistent abnormalities of large-scale brain systems in behavioral addictions (BA) is challenging due to varying methods and inconsistent results. Therefore, the aim of this study was to identify the significantly abnormal large-scale brain systems in BA.</p><p><strong>Method: </strong>PubMed, OVID Embase, OVID Medline, and Web of Science were searched with relevant keywords to identify potential studies. A total of 52 studies including 35 rs-FC studies and 17 structural studies were examined by extracting the coordinates of seeds and target brain regions. The seeds were then categorized into predefined seven networks by their locations based on previous parcellations in rs-FC studies, followed by pooling the results in those networks.</p><p><strong>Results: </strong>The rs-FC findings illustrated that BA were characterized as abnormal networks in response to inhibition, salience attribution, self-referential mental process, and reward-driven behaviors. Meanwhile, meta-analysis of structural studies showed decreased gray matter volume in the anterior cingulate cortex, extending to the middle cingulate cortex and the superior frontal gyrus. Importantly, overlapping regions in the cingulate cortex and anterior thalamus projections extending to caudate regions exhibited both dysfunctions in structure and rs-FC.</p><p><strong>Conclusions: </strong>This study highlighted substantial dysconnectivity in BA, which might result in impaired response to inhibition and salience attribution. 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引用次数: 0
摘要
背景:改变的大规模大脑系统,包括结构改变和静息状态功能连接(rs-FC)改变,已被证明是揭示多种大脑疾病潜在神经机制的有效系统级生物标志物。然而,由于方法不同,结果不一致,识别行为成瘾(BA)中大规模大脑系统的一致异常具有挑战性。因此,本研究的目的是识别BA中显著异常的大规模脑系统。方法:用相关关键词搜索PubMed、OVID Embase、OVID Medline和Web of Science,以确定潜在的研究。通过提取种子和目标大脑区域的坐标,共检查了52项研究,包括35项rs FC研究和17项结构研究。然后,根据rs FC研究中先前的分组,根据种子的位置将其分类为预定义的七个网络,然后将结果集中在这些网络中。结果:rs FC结果表明,BA表现为对抑制、显著归因、自我指涉心理过程和奖励驱动行为的异常网络反应。同时,结构研究的荟萃分析显示,前扣带皮层的灰质体积减少,并延伸到中扣带皮层和额上回。重要的是,扣带皮层的重叠区域和延伸至尾状区的丘脑前投射物在结构和rs-FC方面都表现出功能障碍。结论:这项研究强调了BA的严重连通性障碍,这可能导致对抑制和显著性归因的反应受损。因此,本研究可能为BA的临床诊断和治疗靶点提供神经生物标志物的新见解。
Abnormal structural alterations and disrupted functional connectivity in behavioral addiction: A meta-analysis of VBM and fMRI studies.
Background: Altered large-scale brain systems, including structural alterations and resting-state functional connectivity (rs-FC) changes, have been demonstrated as effective system-level biomarkers for revealing potential neural mechanism of multiple brain disorders. However, identifying consistent abnormalities of large-scale brain systems in behavioral addictions (BA) is challenging due to varying methods and inconsistent results. Therefore, the aim of this study was to identify the significantly abnormal large-scale brain systems in BA.
Method: PubMed, OVID Embase, OVID Medline, and Web of Science were searched with relevant keywords to identify potential studies. A total of 52 studies including 35 rs-FC studies and 17 structural studies were examined by extracting the coordinates of seeds and target brain regions. The seeds were then categorized into predefined seven networks by their locations based on previous parcellations in rs-FC studies, followed by pooling the results in those networks.
Results: The rs-FC findings illustrated that BA were characterized as abnormal networks in response to inhibition, salience attribution, self-referential mental process, and reward-driven behaviors. Meanwhile, meta-analysis of structural studies showed decreased gray matter volume in the anterior cingulate cortex, extending to the middle cingulate cortex and the superior frontal gyrus. Importantly, overlapping regions in the cingulate cortex and anterior thalamus projections extending to caudate regions exhibited both dysfunctions in structure and rs-FC.
Conclusions: This study highlighted substantial dysconnectivity in BA, which might result in impaired response to inhibition and salience attribution. Therefore, this study might provide novel insights of neural biomarkers for clinical diagnoses and treatment targets for BA.
期刊介绍:
The aim of Journal of Behavioral Addictions is to create a forum for the scientific information exchange with regard to behavioral addictions. The journal is a broad focused interdisciplinary one that publishes manuscripts on different approaches of non-substance addictions, research reports focusing on the addictive patterns of various behaviors, especially disorders of the impulsive-compulsive spectrum, and also publishes reviews in these topics. Coverage ranges from genetic and neurobiological research through psychological and clinical psychiatric approaches to epidemiological, sociological and anthropological aspects.