共享和独特的大脑网络是底层特征和状态反的基础
Luqing Wei1, Hui Dong2, Fanxi Ding3
1Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China; School of Psychology, Jiangxi Normal University, Nanchang, China.
Behavioural brain research
|July 11, 2024
概括
特征和状态反具有不同的神经指纹,涉及默认模式网络和其他大脑网络. 存在共同的机制,为负面影响提供潜在的治疗点.
科学领域:
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
- 认知科学 认知科学
背景情况:
- 特征和状态反加剧了负面影响,但有不清楚的神经支.
- 了解不同的和共享的神经基质对于情绪反应性研究至关重要.
研究的目的:
- 使用功能近红外光谱学 (fNIRS) 识别特征和状态反的神经指纹.
- 使用基于连接组的预测建模 (CPM) 调查共享和独特的功能连接 (FC) 配置文件.
主要方法:
- 使用fNIRS和CPM来分析功能连接.
- CPM确定了FC模式,预测了特征和状态的反.
主要成果:
- 在默认模式网络 (DMN),背部注意网络 (DAN),控制网络 (CN) 和突出网络 (SN) 之间与广泛的FC相关的特征反.
- 国家食与FC相关,主要在DMN和CN之间.
- 预测特征在特征和状态反之间概括.
结论:
- 无论是DMN还是非DMN系统,都对反至关重要.
- 特征反显示了更广泛的FC,但特征和状态形式之间存在共享机制.
- 识别的神经指纹可以为与反有关的负面影响提供治疗干预信息.
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