The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis.
The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis.
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DOI：
10.1038/s41467-018-03462-y
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发表时间：
2018-03-20
影响因子：
16.6
通讯作者：
Holmes AJ
中科院分区：
文献类型：
--
作者：
Reinen JM;Chén OY;Hutchison RM;Yeo BTT;Anderson KM;Sabuncu MR;Öngür D;Roffman JL;Smoller JW;Baker JT;Holmes AJ
高阶认知通过大规模大脑网络的灵活互动而出现，这是精神病患者可能受损的时间协调方面。在这里，我们绘制了健康年轻人大脑皮层的动态功能架构，利用这个瞬态网络配置（状态）的图集，以确定精神分裂症和精神病性双相情感障碍患者的状态和网络特定的中断。我们证明，动态连接配置文件是可靠的参与者，并可以作为一个指纹，识别特定的个人在一个更大的群体。精神病患者表现出间歇性的中断，以前与疾病相关的皮层网络，和特定的大脑状态内的个人连接配置文件预测活动性精神病症状的存在。两者合计，这些结果提供了证据，在一般人群中的可重构的动态架构，并表明，以前的报告中的网络中断精神病可能反映了神经元相关的瞬态异常，而不是一个时不变的全球赤字。大脑动力学的时间变化与认知能力有关，但它们的稳定性和与精神病的关系都不清楚。在这里，作者描述了健康对照组和精神病患者的动态神经结构，发现它们随时间推移而稳定，可以预测精神病症状。
Higher-order cognition emerges through the flexible interactions of large-scale brain networks, an aspect of temporal coordination that may be impaired in psychosis. Here, we map the dynamic functional architecture of the cerebral cortex in healthy young adults, leveraging this atlas of transient network configurations (states), to identify state- and network-specific disruptions in patients with schizophrenia and psychotic bipolar disorder. We demonstrate that dynamic connectivity profiles are reliable within participants, and can act as a fingerprint, identifying specific individuals within a larger group. Patients with psychotic illness exhibit intermittent disruptions within cortical networks previously associated with the disease, and the individual connectivity profiles within specific brain states predict the presence of active psychotic symptoms. Taken together, these results provide evidence for a reconfigurable dynamic architecture in the general population and suggest that prior reports of network disruptions in psychosis may reflect symptom-relevant transient abnormalities, rather than a time-invariant global deficit. Temporal changes in brain dynamics are linked with cognitive abilities, but neither their stability nor relationship to psychosis is clear. Here, authors describe the dynamic neural architecture in healthy controls and patients with psychosis and find that they are stable over time and can predict psychotic symptoms.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
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通讯作者：
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影响因子：
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影响因子：
5.7
作者：
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DOI：
10.1073/pnas.1220826110
发表时间：
2013-07-09
影响因子：
11.1
作者：
Crossley, Nicolas A.;Mechelli, Andrea;Bullmore, Edward T.
通讯作者：
Bullmore, Edward T.