Intrinsic neural network dynamics in catatonia.
Intrinsic neural network dynamics in catatonia.
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DOI：
10.1002/hbm.25671
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发表时间：
2021-12-15
影响因子：
4.8
通讯作者：
Wolf RC
中科院分区：
文献类型：
--
作者：
Sambataro F;Hirjak D;Fritze S;Kubera KM;Northoff G;Calhoun VD;Meyer-Lindenberg A;Wolf RC
紧张症是精神分裂症谱系障碍（SSD）中的一种高患病率的跨疾病组精神障碍综合征。越来越多的神经影像学证据表明，紧张症与额顶叶、丘脑和小脑区域的异常有关。到目前为止，尚未研究紧张症的大规模脑网络动力学。在这项研究中，考虑了58名右利手SSD患者的静息状态fMRI数据。采用Northoff紧张症评定量表（NCRS）检查紧张症症状。采用多元协方差分析（MANCOVA）方法，对30例伴紧张症（NCRS总分≥ 3分）和28例不伴紧张症（NCRS总分= 0分）的SSD患者进行群体空间独立成分分析，以估计和检验潜在的内在成分（IC）。在休息期间计算IC对之间的功能网络连接性（FNC），并使用滑动窗口和聚类（以捕获静态和动态FNC）估计连接性的瞬时变化。紧张症患者表现出增加静态FNC在小脑网络沿着与减少低频振荡在基底神经节（BG）网络。与非紧张性患者相比，紧张性患者的状态变化减少，并且更多地处于以感觉运动、视觉和默认模式网络的高网络内相关性为特征的状态。最后，根据DSM-IV-TR（n = 44），在紧张症患者中，皮质-纹状体状态下FNC内增加与NCRS运动评分之间存在显著相关性。这些数据支持紧张症的神经机制模型，强调在不同的功能状态中断的感觉运动网络控制的关键作用。这些数据支持紧张症的神经机制模型，强调在不同的功能状态中断的感觉运动网络控制的关键作用。
Catatonia is a transnosologic psychomotor syndrome with high prevalence in schizophrenia spectrum disorders (SSD). There is mounting neuroimaging evidence that catatonia is associated with aberrant frontoparietal, thalamic and cerebellar regions. Large‐scale brain network dynamics in catatonia have not been investigated so far. In this study, resting‐state fMRI data from 58 right‐handed SSD patients were considered. Catatonic symptoms were examined on the Northoff Catatonia Rating Scale (NCRS). Group spatial independent component analysis was carried out with a multiple analysis of covariance (MANCOVA) approach to estimate and test the underlying intrinsic components (ICs) in SSD patients with (NCRS total score ≥ 3; n = 30) and without (NCRS total score = 0; n = 28) catatonia. Functional network connectivity (FNC) during rest was calculated between pairs of ICs and transient changes in connectivity were estimated using sliding windowing and clustering (to capture both static and dynamic FNC). Catatonic patients showed increased static FNC in cerebellar networks along with decreased low frequency oscillations in basal ganglia (BG) networks. Catatonic patients had reduced state changes and dwelled more in a state characterized by high within‐network correlation of the sensorimotor, visual, and default‐mode network with respect to noncatatonic patients. Finally, in catatonic patients according to DSM‐IV‐TR (n = 44), there was a significant correlation between increased within FNC in cortico‐striatal state and NCRS motor scores. The data support a neuromechanistic model of catatonia that emphasizes a key role of disrupted sensorimotor network control during distinct functional states. The data support a neuromechanistic model of catatonia that emphasizes a key role of disrupted sensorimotor network control during distinct functional states.
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