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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >EEG Resting-State Networks Responsible for Gait Disturbance Features in Idiopathic Normal Pressure Hydrocephalus
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EEG Resting-State Networks Responsible for Gait Disturbance Features in Idiopathic Normal Pressure Hydrocephalus

机译：eeg休息状态网络负责特发性正常压力脑积水中的步态障碍特征

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摘要

Idiopathic normal pressure hydrocephalus (iNPH) is a neuropsychiatric disease characterized by gait disturbance, cognitive dysfunction, and urinary incontinence that affects a large population of elderly people. These symptoms, especially gait disturbance, can potentially be improved by cerebrospinal fluid (CSF) drainage, which is more effective if performed at an early stage of the disease. However, the neurophysiological mechanisms of these symptoms and their recovery by CSF drainage are poorly understood. In this study, using exact low-resolution brain electromagnetic tomography-independent component analysis (eLORETA-ICA) with electroencephalography (EEG) data, we assessed activities of five EEG resting-state networks (EEG-RSNs) in 58 iNPH patients before and after drainage of CSF by lumbar puncture (CSF tapping). In addition, we assessed correlations of changes in these five EEG-RSNs activities with CSF tapping–induced changes in iNPH symptoms. The results reveal that compared with 80 healthy controls, iNPH patients had significantly decreased activities in the occipital alpha rhythm, visual perception network, and self-referential network before CSF tapping. Furthermore, CSF tapping–induced changes in occipital alpha activity correlated with changes in postural sway and frontal lobe function. Changes in visual perception network activity correlated with changes in gait speed. In addition, changes in memory perception network activity correlated with changes in Parkinsonian gait features. These results indicate a recruitment of cognitive networks in gait control, and involvement of the occipital alpha activity in cognitive dysfunction in iNPH patients. Based on these findings, eLORETA-ICA with EEG data can be considered a noninvasive, useful tool for detection of EEG-RSN activities and for understanding the neurophysiological mechanisms underlying this disease.
机译：特发性正常压力脑积水（INOWH）是一种神经精神疾病，其特征，其特征在于步态干扰，认知功能障碍和影响大群老年人的尿失禁。这些症状，尤其是步态障碍，可以通过脑脊液（CSF）引流来改善，如果在疾病的早期阶段进行更有效。然而，这些症状的神经生理机制及其通过CSF排水的恢复都很明显。在本研究中，使用脑电图（EEG）数据的精确低分辨率脑电断层扫描无关分量分析（ELORETA-ICA），我们在58例患者之前和之后评估了五个EEG休息状态网络（EEG-RSNS）的活动通过腰椎穿刺（CSF敲击）引流CSF。此外，我们评估了通过CSF攻丝引起的IPAphorm症状的变化的这些五个EEG-RSNS活动的变化的相关性。结果表明，与80例健康对照相比，inph患者在CSF攻丝之前，枕骨α节奏，视觉感知网络和自我参照网络的活动显着降低。此外，CSF攻丝诱导的枕骨α活性的变化与姿势摇摆和额叶功能的变化相关。视觉感知网络活动的变化与步态速度的变化相关。此外，内存感知网络活动的变化与Parkinsonian步态特征的变化相关联。这些结果表明，在步态控制中招募认知网络，以及枕骨α活性在INPH患者中的认知功能障碍中的参与。基于这些调查结果，具有EEG数据的ELORETA-ICA可被认为是一种非侵入性的有用工具，用于检测EEG-RSN活动，并理解这种疾病的神经生理机制。

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