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Draining the pond and catching the fish: Uncovering the ecosystem of auditory verbal hallucinations

机译:排干池塘捉鱼:发现听觉幻觉的生态系统

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The various models proposed for the mediation of auditory verbal hallucinations (AVH) implicate a considerable number of brain areas and mechanisms. To establish which of those mechanisms are actually involved in the mediation of AVH, we developed a novel method to analyze functional MRI data, which allows for the detection of the full network of mutually interacting brain states, and the identification of those states that are relevant to the mediation of AVH, while applying a minimum number of preconceived assumptions. This method is comparable to the draining of a pond to lay bare the full ecosystem that affects the presence of a particular fish species. We used this model to analyze the fMRI data of 85 psychotic patients experiencing AVH. The data were decomposed into 98 independent components (ICs) representing all major functions active in the brain during scanning. ICs involved in mediating AVH were identified by associating their time series with the hallucination time series as provided by subjects within the scanner. Using graph theory, a network of interacting ICs was created, which was clustered into IC modules. We used causal reasoning software to determine the direction of links in this network, and discover the chain of events that leads to the conscious experience of hallucinations. Hallucinatory activity was linked to three of the seven IC clusters and 11 of the 98 ICs. ICs with the most influential roles in producing AVH-related activity were those within the so-called salience network (comprising the anterior cingulate gyrus, right insula, Broca's homologue, premotor cortex, and supramarginal gyrus). Broca's area and the cerebellar regions were significantly, but more distantly involved in the mediation of AVH. These results support the notion that AVH are largely mediated by the salience network. We therefore propose that the mediation of AVH in the context of schizophrenia spectrum disorders involves the attribution of an excess of negative salience by anterior-cingulate areas to linguistic input from Broca's right homologue, followed by subsequent processing errors in areas further ‘downstream’ the causal chain of events. We provide a detailed account of the origin of AVH for this patient group, and make suggestions for selective interventions directed at the most relevant brain areas.
机译:提议用于介导听觉幻觉(AVH)的各种模型涉及大量的大脑区域和机制。为了确定哪些机制真正参与了AVH的介导,我们开发了一种新颖的方法来分析功能性MRI数据,从而可以检测相互相互作用的大脑状态的完整网络,并识别出与大脑相关的状态进行AVH调解,同时应用最少数量的先入为主的假设。这种方法可与排水池塘媲美,以露出影响特定鱼类物种的完整生态系统。我们使用该模型分析了85名经历AVH的精神病患者的功能磁共振成像数据。数据被分解为98个独立的组件(IC),代表了在扫描过程中大脑活动的所有主要功能。通过将其时间序列与扫描仪内对象提供的幻觉时间序列相关联,可以确定参与调解AVH的IC。使用图论,创建了一个相互作用的IC网络,该网络被聚集成IC模块。我们使用因果推理软件来确定此网络中链接的方向,并发现导致幻觉的有意识经历的事件链。幻觉活动与七个集成电路集群中的三个和98个集成电路中的11个相关。在产生AVH相关活动中最具影响力的IC是所谓的显着网络中的IC(包括前扣带回,右岛,Broca的同系物,运动前皮层和上颌回)。布罗卡区和小脑区明显,但更远地参与AVH的调解。这些结果支持以下观点:AVH主要由显着网络介导。因此,我们建议在精神分裂症谱系障碍的背景下进行AVH的调解涉及将前扣带区域归因于Broca右同系物的语言输入,从而导致过多的阴性显着性,随后在因果关系“下游”的区域进行后续处理错误事件链。我们提供了该患者组AVH起源的详细说明,并针对针对最相关的大脑区域的选择性干预提出了建议。

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