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Network modeling of resting state connectivity points towards the bottom up theories of schizophrenia

机译：休息状态连接点朝向精神分裂症底层理论的网络建模

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Abstract The dysconnectivity theory of schizophrenia proposes that schizophrenia symptoms arise from abnormalities in neuronal synchrony. Resting-state Functional Connectivity (FC) techniques allow us to highlight synchronization of large-scale networks, the Resting-state Networks (RNs). A large body of work suggests that disruption of RN synchronization could give rise to specific schizophrenia symptoms. The present study aimed to explore within- and between-network FC strength of 34 RNs in 29 patients suffering from schizophrenia, and their relationships with schizophrenia symptoms. Resting-state data were analyzed using independent component analysis and dual-regression techniques. Our results showed that both within-RN and between-RN FC were disrupted in patients with schizophrenia, with a global trend toward weaker FC. This decrease affected more particularly visual, auditory and crossmodal binding networks. These alterations were correlated with negative symptoms, positive symptoms and hallucinations, indicating abnormalities in visual processing and crossmodal binding in schizophrenia. Moreover, we stressed an anomalous synchronization between a visual network and a network thought to be engaged in mental imaging processes, correlated with delusions and hallucinations. Altogether, our results supported the assumption that some schizophrenia symptoms may be related to low-order sensory alterations impacting higher-order cognitive processes, i.e. the “bottom-up” hypothesis of schizophrenia symptoms. Highlights ? Resting-state networks allow to explore brain organization in schizophrenia. ? Both within and between network connectivity are disrupted in schizophrenia. ? Visual, auditory and crossmodal binding networks seem more particularly affected. ? Impairments in basic perceptual processes may impact higher-order processes. ? Confusion between mental imagery and external stimuli may result in hallucinations.
机译：摘要精神分裂症的脱疑性理论提出了神经元同步异常的症状。休息状态功能连接（FC）技术允许我们突出显示大型网络的同步，静止状态网络（RNS）。大量工作表明，RN同步的破坏可能会产生特异性精神分裂症症状。本研究旨在探讨在患有精神分裂症的29名患者中探讨34 RNS的网络FC强度，以及与精神分裂症症状的关系。使用独立的分量分析和双回归技术进行分析休息状态数据。我们的研究结果表明，在患有精神分裂症患者的患者中，rn和-rn之间的患者中断，具有较弱的FC趋势。这种减少影响更具体地说，是视觉，听觉和跨大型结合网络。这些改变与阴性症状，阳性症状和幻觉相关，表明精神分裂症中的视觉处理和跨型结合的异常。此外，我们强调了视觉网络和网络之间的异常同步，以便从事精神影像过程，与妄想和幻觉相关联。完全是，我们的结果支持假设一些精神分裂症症状可能与影响高阶认知过程的低位感官改变有关，即精神分裂症症状的“自下而上”假设。强调 ？休息状态网络允许探索精神分裂症的脑组织。还网络连接内部和网络连接之间的精神分裂症中断。还视觉，听觉和跨大型绑定网络似乎更受影响。还基本感知过程中的损伤可能会影响高阶流程。还心理图像与外部刺激之间的混乱可能导致幻觉。

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