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岛叶的自发性神经元活动可预测未服药的成年强迫症患者的症状严重程度。

Spontaneous neuronal activity in insula predicts symptom severity of unmedicated obsessive compulsive disorder adults.

作者信息

Zhu Y, Fan Q, Zhang Z, Zhang H, Tong S, Li Y

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5445-8. doi: 10.1109/EMBC.2015.7319623.

Abstract

Emerging evidence has suggested that the pathophysiology of obsessive compulsive disorder (OCD) might involve widely distributed large-scale brain systems. The dysfunction within salience network, which is comprised of dorsal anterior cingulated cortex (dACC) and bilateral insular areas, has been proposed to contribute to OCD onset. The mechanism underlying salience network abnormality remains unclear and it is worthwhile to investigate its clinical relevance using functional neuroimaging approaches. In this study, we performed the spontaneous brain activity measurement using resting-state functional magnetic resonance imaging (fMRI) on unmedicated OCD patients (n=23). Specifically, the amplitude of low frequency (0.01-0.08 Hz) fluctuations (ALFF) was calculated for regions in salience network. The voxel-based Pearson's correlative analysis was conducted to explore the relationship beween ALFF measures and symptom severity for OCD patients. The results showed that the spontaneous neuronal activity in insula was significantly correlated to OCD clinical symptoms, especially compulsive behaviors. Our findings consolidated that the salience network played an important role in the pathogenesis of OCD and the intensity of intrinsic brain activity in insula provided a predictive biomarker for OCD symptom severity.

摘要

新出现的证据表明,强迫症(OCD)的病理生理学可能涉及广泛分布的大规模脑系统。由背侧前扣带回皮质(dACC)和双侧岛叶区域组成的突显网络功能障碍被认为与强迫症的发病有关。突显网络异常的潜在机制尚不清楚,值得使用功能神经影像学方法研究其临床相关性。在本研究中,我们对未接受药物治疗的强迫症患者(n = 23)进行了静息态功能磁共振成像(fMRI)测量自发脑活动。具体而言,计算了突显网络区域的低频(0.01 - 0.08 Hz)波动幅度(ALFF)。进行基于体素的Pearson相关分析,以探讨强迫症患者ALFF测量值与症状严重程度之间的关系。结果表明,岛叶的自发神经元活动与强迫症临床症状,尤其是强迫行为显著相关。我们的研究结果证实,突显网络在强迫症发病机制中起重要作用,岛叶内在脑活动强度为强迫症症状严重程度提供了一个预测生物标志物。

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