在患有严重抑郁症的患者中,全球信号拓的频率依赖性变化
Chengxiao Yang1, Bharat Biswal2, Qian Cui3
1Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
Psychological medicine
|February 16, 2024
概括
重度抑郁症 (MDD) 与大脑网络活动减弱有关. 减少MDD患者的全球信号波动和局部相关性可能会损害大脑功能,可能表明严重病例的补偿机制.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一种精神病学.
- 医疗成像医学成像
背景情况:
- 大型抑郁症 (MDD) 涉及到大脑网络和频率特定活动的干扰.
- 在MDD中,时空网络异常的确切性质尚不清楚.
研究的目的:
- 调查严重抑郁症患者在全球时空网络的变化.
- 检查这些时空网络特征与临床抑郁症得分之间的关系.
主要方法:
- 利用了一个大型的多中心静止状态功能磁共振成像 (fMRI) 数据集.
- 测量了全球信号 (GS) 的变化及其与各种频段的本地信号 (GSCORR) 的相关性.
- 评估了GS和GSCORR指标与临床抑郁症得分之间的关联.
主要成果:
- 患有MDD的患者在所有频率 (0-0.1852 Hz) 上表现出减少的GS波动.
- 在MDD中,GSCORR也减少了,特别是在更高的频率 (0.0728-0.1852 Hz) 中.
- 在MDD患者中,GS和GSCORR与抑郁分数呈正相关性,在对照组中呈负相关性.
结论:
- 全球信号及其对局部信号的时空影响在MDD中减弱,可能阻碍区域间同步.
- 严重的抑郁症可能涉及补偿机制,以抵消大脑网络中的功能障碍.
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