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探索精神病性障碍的功能连接组:精神分裂症和双相情感障碍中异常的内在网络。

Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder.

作者信息

Calhoun Vince D, Sui Jing, Kiehl Kent, Turner Jessica, Allen Elena, Pearlson Godfrey

机构信息

The Mind Research Network Albuquerque, NM, USA.

出版信息

Front Psychiatry. 2012 Jan 10;2:75. doi: 10.3389/fpsyt.2011.00075. eCollection 2011.

Abstract

Intrinsic functional brain networks (INs) are regions showing temporal coherence with one another. These INs are present in the context of a task (as opposed to an undirected task such as rest), albeit modulated to a degree both spatially and temporally. Prominent networks include the default mode, attentional fronto-parietal, executive control, bilateral temporal lobe, and motor networks. The characterization of INs has recently gained considerable momentum, however; most previous studies evaluate only a small subset of the INs (e.g., default mode). In this paper we use independent component analysis to study INs decomposed from functional magnetic resonance imaging data collected in a large group of schizophrenia patients, healthy controls, and individuals with bipolar disorder, while performing an auditory oddball task. Schizophrenia and bipolar disorder share significant overlap in clinical symptoms, brain characteristics, and risk genes which motivates our goal of identifying whether functional imaging data can differentiate the two disorders. We tested for group differences in properties of all identified INs including spatial maps, spectra, and functional network connectivity. A small set of default mode, temporal lobe, and frontal networks with default mode regions appearing to play a key role in all comparisons. Bipolar subjects showed more prominent changes in ventromedial and prefrontal default mode regions whereas schizophrenia patients showed changes in posterior default mode regions. Anti-correlations between left parietal areas and dorsolateral prefrontal cortical areas were different in bipolar and schizophrenia patients and amplitude was significantly different from healthy controls in both patient groups. Patients exhibited similar frequency behavior across multiple networks with decreased low frequency power. In summary, a comprehensive analysis of INs reveals a key role for the default mode in both schizophrenia and bipolar disorder.

摘要

内在功能性脑网络(INs)是相互之间表现出时间相干性的区域。这些INs存在于任务背景下(与诸如休息等无指向性任务相反),尽管在空间和时间上会受到一定程度的调制。显著的网络包括默认模式、注意性额顶叶、执行控制、双侧颞叶和运动网络。然而,INs的特征描述最近才获得了相当大的发展势头;之前的大多数研究只评估了一小部分INs(例如默认模式)。在本文中,我们使用独立成分分析来研究从一大组精神分裂症患者、健康对照者和双相情感障碍患者在执行听觉oddball任务时收集的功能磁共振成像数据中分解出的INs。精神分裂症和双相情感障碍在临床症状、脑特征和风险基因方面有显著重叠,这促使我们确定功能成像数据是否能够区分这两种疾病。我们测试了所有识别出的INs在属性方面的组间差异,包括空间图谱、频谱和功能网络连接性。一小部分默认模式、颞叶和额叶网络,其中默认模式区域在所有比较中似乎都起着关键作用。双相情感障碍受试者在腹内侧和前额叶默认模式区域表现出更显著的变化,而精神分裂症患者在后部默认模式区域出现变化。双相情感障碍和精神分裂症患者左顶叶区域与背外侧前额叶皮质区域之间的反相关性不同,并且两个患者组的振幅与健康对照者相比均有显著差异。患者在多个网络中表现出相似的频率行为,低频功率降低。总之,对INs的综合分析揭示了默认模式在精神分裂症和双相情感障碍中都起着关键作用。

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