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Rigidity in Motor Behavior and Brain Functioning in Patients With Schizophrenia and High Levels of Apathy

机译:精神分裂症和高水平的冷漠患者运动行为和脑功能的僵化

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摘要

The aim of this study was to investigate whether apathy in schizophrenia is associated with rigidity in behavior and brain functioning. To this end, we studied associations between variability in dynamic functional connectivity (DFC) in relevant functional brain networks, apathy, and variability in physical activity in schizophrenia. Thirty-one patients with schizophrenia, scoring high on apathy, were included and wore an actigraph. Activity variability was calculated on the activity counts using the root of the Mean Squared Successive Difference (MSSD). Furthermore, we calculated DFC on resting-state data as phase interactions between blood oxygen-level dependent (BOLD) signals of 270 brain regions per volume. Variability (MSSD) in DFC was calculated for 3 networks, including the default-mode network (DMN), frontoparietal network, and salience-reward network (SRN). Finally, we calculated correlations between these DFC estimates and apathy and activity variability. First, lower activity variability was associated with higher levels of apathy. Second, higher levels of apathy were associated with lower variability in DFC in the DMN and SRN. Third, higher activity variability was associated with higher variability in DFC in the SRN. In conclusion, patients with schizophrenia and more severe levels of apathy showed less variability in their physical activity and more rigid functional brain network behavior in the DMN and SRN. These networks have been shown relevant for self-reflection, mental simulation, and reward processing, processes that are pivotal for self-initiated goal-directed behavior. Functional rigidity of these networks may therefore contribute to reduced goal-directed behavior, which is characteristic for these patients.
机译:这项研究的目的是调查精神分裂症的冷漠是否与行为和脑功能的僵化有关。为此,我们研究了相关功能性大脑网络中动态功能连接(DFC)的变异性,冷漠和精神分裂症中身体活动的变异性之间的关联。入选了31例精神分裂症患者,他们的冷漠感评分很高,并佩戴了活动记录仪。使用均方平方连续差(MSSD)的根,根据活动计数计算活动变异性。此外,我们以静息状态数据作为每体积270个大脑区域的血氧水平依赖性(BOLD)信号之间的相位相互作用来计算DFC。针对3个网络(包括默认模式网络(DMN),额顶网络和显着性奖励网络(SRN))计算了DFC中的可变性(MSSD)。最后,我们计算了这些DFC估计值与冷漠和活动可变性之间的相关性。首先,较低的活动变异性与较高的冷漠程度有关。其次,DMN和SRN中较高的冷漠程度与较低的DFC变异性相关。第三,较高的活动变异性与SRN中DFC的较高变异性相关。总之,精神分裂症和冷漠程度更高的患者在DMN和SRN中表现出较少的身体活动变异性和较僵硬的功能性大脑网络行为。这些网络已显示出与自我反省,心理模拟和奖励处理相关的功能,这些过程对于自我启动的目标导向行为至关重要。这些网络的功能刚性因此可能有助于减少针对目标的行为,这是这些患者的特征。

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