Disrupted Strength and Stability of Regional Brain Activity in Disorder of Consciousness Patients: A Resting-State Functional Magnetic Resonance Imaging Study
Disrupted Strength and Stability of Regional Brain Activity in Disorder of Consciousness Patients: A Resting-State Functional Magnetic Resonance Imaging Study
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意识障碍患者区域大脑活动的强度和稳定性中断：静息态功能磁共振成像研究
DOI：
10.1016/j.neuroscience.2021.06.031
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发表时间：
2021-06
期刊：
影响因子：
3.3
通讯作者：
Benyan Luo
中科院分区：
文献类型：
--
作者：
Yamei Yu;Sicong Chen;Li Zhang;Xiaoyan Liu;Xufei Tan;Benyan Luo
虽然意识障碍(DOC)患者的静息状态网络已被广泛研究，但其潜在的神经机制仍不清楚。本研究旨在探讨DOC患者局部脑活动的静态和动态变化，并检测各指标的诊断能力。19名处于植物人状态的患者、19名处于最低意识状态(MCS)的患者和41名健康对照被纳入本研究。计算低频波动幅度(fALFF值)和动态fALFF值(dfALFF值)，经方差分析检测组间差异。对FALFF进行亚频分析(慢4频段和慢5频段)。基于这些措施建立了机器学习分类器，以探索患者和对照组之间的分类准确性。FALFF和dfALFF分析显示，在额叶内侧回、楔前回、左角回和右侧扣带中回(MCC)存在显著的组间差异，而只有dfALFF分析显示右额下回(IFG)、右角回、左侧缘上回(SMG)和左侧枕中回(MOG)存在异常。子频率分析表明，默认模式网络(DMN)存在潜在的频率依赖性改变。FALFF模型的分类准确率(ACC)(90.50%)高于dfALFF模型(86.29%)。FALFF和dfALFF的组合并没有改善分类性能。DOC患者局部脑活动的强度和稳定性受到干扰。我们的研究结果表明，动态分析可以揭示更多的病理区域，从而更好地了解DOC的病理生理机制。
Although the resting-state networks of patients with disorders of consciousness (DOC) have been widely investigated, the underlying neural mechanisms remain unclear. Here we aimed to explore the static and dynamic alterations in the regional brain activity in patients with DOC and detect the diagnostic ability of each index. Nineteen patients in the vegetative state, 19 in the minimally conscious state (MCS), and 41 healthy controls were recruited for this study. The fractional amplitudes of the low-frequency fluctuation (fALFF) and dynamic fALFF (dfALFF) values were computed, and intergroup differences were detected by analysis of variance. Sub-frequency analysis (slow-4 band and slow-5 band) of fALFF was also performed. Machine learning classifiers were established based on these measures to explore the classification accuracies between patients and controls. The fALFF and dfALFF analyses showed significant intergroup differences in the medial prefrontal gyrus, precuneus, left angular gyrus, and right middle cingulate cortex (MCC), whereas only the dfALFF analysis revealed aberrations in the right inferior frontal gyrus (IFG), right angular gyrus, left supramarginal gyrus (SMG), and left middle occipital gyrus (MOG). Sub-frequency analysis suggested a potential frequency dependent alteration in the default mode network (DMN). The fALFF model exhibited a higher classification accuracy (ACC) (90.50%) than the dfALFF model (86.29%). The combination of fALFF and dfALFF did not improve classification performance. The strength and stability of regional brain activities were disrupted in patients with DOC. Our findings demonstrate that dynamic analysis may reveal more pathological regions and provide a better understanding of the pathophysiologic mechanisms of DOC.
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静息态 fMRI 低频波动幅度 (ALFF) 检测的改进方法：分数 ALFF
影响因子：
3
作者：
Zou, Qi-Hong;Zhu, Chao-Zhe;Zang, Yu-Feng
通讯作者：
Zang, Yu-Feng
DOI：
10.1016/j.cortex.2018.05.004
发表时间：
2018-09
期刊：
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影响因子：
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DOI：
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发表时间：
2013
期刊：
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影响因子：
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影响因子：
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作者：
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通讯作者：
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