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精神分裂症患者静息态功能网络与精神病症状的相关性。

Resting-state functional network correlates of psychotic symptoms in schizophrenia.

机构信息

Max Planck Institute for Brain Research, Department of Neurophysiology, Deutschordenstr. 46, 60528 Frankfurt a.M., Germany.

出版信息

Schizophr Res. 2010 Mar;117(1):21-30. doi: 10.1016/j.schres.2010.01.001. Epub 2010 Jan 25.

Abstract

Schizophrenia has been associated with aberrant intrinsic functional organization of the brain but the relationship of such deficits to psychopathology is unclear. In this study, we investigated associations between resting-state networks and individual psychopathology in sixteen patients with paranoid schizophrenia and sixteen matched healthy control participants. We estimated whole-brain functional connectivity of multiple networks using a combination of spatial independent component analysis and multiple regression analysis. Five networks (default-mode, left and right fronto-parietal, left fronto-temporal and auditory networks) were selected for analysis based on their involvement in neuropsychological models of psychosis. Between-group comparisons and correlations to psychopathology ratings were performed on both spatial (connectivity distributions) and temporal features (power-spectral densities of temporal frequencies below 0.06 Hz). Schizophrenia patients showed aberrant functional connectivity in the default-mode network, which correlated with severity of hallucinations and delusions, and decreased hemispheric separation of fronto-parietal activity, which correlated with disorganization symptoms. Furthermore, the severity of positive symptoms correlated with functional connectivity of fronto-temporal and auditory networks. Finally, default-mode and auditory networks showed increased spectral power of low frequency oscillations, which correlated with positive symptom severity. These results are in line with findings from studies that investigated the neural correlates of positive symptoms and suggest that psychopathology is associated with aberrant intrinsic organization of functional brain networks in schizophrenia.

摘要

精神分裂症与大脑的内在功能组织异常有关,但这些缺陷与精神病理学的关系尚不清楚。在这项研究中,我们调查了 16 名偏执型精神分裂症患者和 16 名匹配的健康对照参与者的静息状态网络与个体精神病理学之间的关系。我们使用空间独立成分分析和多元回归分析相结合的方法来估计多个网络的全脑功能连接。基于它们在精神分裂症神经心理学模型中的参与,选择了五个网络(默认模式、左右额顶叶、左额颞叶和听觉网络)进行分析。对组间差异和与精神病理学评分的相关性进行了空间(连接分布)和时间特征(低于 0.06 Hz 的时间频率的功率谱密度)的分析。精神分裂症患者的默认模式网络存在异常的功能连接,与幻觉和妄想的严重程度相关,并且额顶叶活动的半球分离减少,与紊乱症状相关。此外,阳性症状的严重程度与额颞叶和听觉网络的功能连接相关。最后,默认模式和听觉网络显示出低频振荡的频谱功率增加,与阳性症状的严重程度相关。这些结果与研究阳性症状的神经相关性的研究结果一致,表明精神病理学与精神分裂症中功能性大脑网络的内在异常组织有关。

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