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攻击性的神经机制:特质和诱发攻击性的 ALE 荟萃分析。

Neural networks of aggression: ALE meta-analyses on trait and elicited aggression.

机构信息

Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.

Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Brain Struct Funct. 2019 Jan;224(1):133-148. doi: 10.1007/s00429-018-1765-3. Epub 2018 Oct 5.

Abstract

There is considerable evidence that emotion dysregulation and self-control impairments lead to escalated aggression in populations with psychiatric disorders. However, convergent quantitative evidence on the neural network explaining how aggression arises is still lacking. To address this gap, peak activations extracted from extant functional magnetic resonance imaging (fMRI) studies were synthesized through coordinate-based meta-analyses. A systematic search in the PubMed database was conducted and 26 fMRI studies met the inclusion criteria. Three separate activation likelihood estimation (ALE) meta-analyses were performed on (1) individual differences in trait aggression (TA) studies, (2) individual differences in TA studies examining executive functioning, and (3) elicited aggression (EA) studies across fMRI behavioral paradigms. Ensuing clusters from ALE meta-analyses were further treated as seeds for follow-up investigations on consensus connectivity networks (CCN) delineated from meta-analytic connectivity modeling (MACM) and resting-state functional connectivity (RSFC) to further characterize their physiological functions. Finally, we obtained a data-driven functional characterization of the ensuing clusters and their networks. This approach offers a boarder view of the ensuing clusters using a boarder network perspective. In TA, aberrant brain activations were found only in the right precuneus. Follow-up analyses revealed that the precuneus seed was within the frontal-parietal network (FPN) associated with action inhibition, visuospatial processing and higher-level cognition. With further restricting to only experiments examining executive functioning, convergent evidence was found in the right rolandic operculum (RO), midcingulate cortex (MCC), precentral gyrus (PrG) and precuneus. Follow-up analyses suggested that RO, MCC and PrG may belong to a common cognitive control network, while the MCC seems to be the hub of this network. In EA, we only revealed a convergent region in the left postcentral gyrus. Follow-up CCN analyses and functional characterizations suggested that this region may also belong to the same cognitive control network found in the TA sub-analysis. Our results suggested that escalated aggression arises from abnormal precuneus activities within the FPN, disrupting the recruitment of other large-scale networks such as adaptive cognitive control network. Consequently, failure to recruit such a network results in an inability to generate adaptive responses, increasing the likelihood of acting aggressively.

摘要

有大量证据表明,情绪调节和自我控制障碍会导致精神障碍患者的攻击性升级。然而,关于解释攻击性产生的神经网络的综合定量证据仍然缺乏。为了解决这一差距,通过基于坐标的荟萃分析综合了从现有的功能磁共振成像 (fMRI) 研究中提取的峰值激活。在 PubMed 数据库中进行了系统搜索,共有 26 项 fMRI 研究符合纳入标准。对(1)特质攻击性 (TA) 研究中的个体差异、(2)检查执行功能的 TA 研究中的个体差异以及(3)跨 fMRI 行为范式的诱发攻击性 (EA) 研究分别进行了三次独立的激活可能性估计 (ALE) 荟萃分析。ALE 荟萃分析的后续聚类进一步作为基于共识连接网络 (CCN) 的后续调查的种子,这些网络是从元分析连接建模 (MACM) 和静息态功能连接 (RSFC) 中得出的,以进一步描述其生理功能。最后,我们对后续聚类及其网络进行了数据驱动的功能描述。这种方法使用更广泛的网络视角提供了对后续聚类的更广泛的观察。在 TA 中,仅在右侧顶下小叶发现了异常的大脑激活。后续分析表明,顶下小叶种子位于与动作抑制、视空间处理和更高层次认知相关的额顶网络 (FPN) 内。进一步限制在仅检查执行功能的实验中,在右侧 Rolandic 脑回 (RO)、中扣带回皮层 (MCC)、中央前回 (PrG) 和顶下小叶中发现了趋同证据。后续分析表明,RO、MCC 和 PrG 可能属于共同的认知控制网络,而 MCC 似乎是该网络的枢纽。在 EA 中,我们只在左侧中央后回发现了一个趋同区域。后续的 CCN 分析和功能描述表明,该区域也可能属于 TA 子分析中发现的相同认知控制网络。我们的结果表明,攻击性升级源于 FPN 内顶下小叶的异常活动,破坏了对其他大规模网络的招募,例如适应性认知控制网络。因此,无法招募这样的网络会导致无法产生适应性反应,从而增加攻击性的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72a5/7965845/d59990487603/nihms-1676764-f0001.jpg

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