Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder.
Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder.
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DOI：
10.3389/fpsyt.2011.00075
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发表时间：
2011
影响因子：
4.7
通讯作者：
Pearlson G
中科院分区：
文献类型：
--
作者：
Calhoun VD;Sui J;Kiehl K;Turner J;Allen E;Pearlson G
内在功能性脑网络（INs）是彼此之间表现出时间相干性的区域。这些内在功能性脑网络存在于任务情境中（与诸如休息这样的无指向性任务相对），尽管在空间和时间上都有一定程度的调节。突出的网络包括默认模式、注意额顶叶、执行控制、双侧颞叶和运动网络。然而，内在功能性脑网络的特征描述最近获得了相当大的发展动力；先前的大多数研究仅评估了内在功能性脑网络的一小部分（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群精神分裂症患者、健康对照者和双相情感障碍患者在执行听觉oddball任务时收集的功能性磁共振成像数据中分解出的内在功能性脑网络。精神分裂症和双相情感障碍在临床症状、大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。我们测试了所有已识别的内在功能性脑网络在特性方面的组间差异，包括空间图、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，其中默认模式区域似乎在所有比较中都起着关键作用。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默认模式区域表现出变化。双相情感障碍患者和精神分裂症患者在左侧顶叶区域和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都有显著差异。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，对内在功能性脑网络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。
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.