灵活的大脑状态参与预测了认知控制的跨诊断
bioRxiv : the preprint server for biology
|January 23, 2026
概括
灵活的大脑状态参与支持跨多种精神疾病的认知控制. 这种大脑网络的灵活性是适应反应的关键,为心理健康变异提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 计算精神病学是一种计算精神病学.
背景情况:
- 认知控制对于适应至关重要,但其在精神疾病中的神经基础尚不清楚.
- 改变认知控制是各种心理健康状况的共同特征.
- 了解神经机制对于开发有针对性的干预措施至关重要.
研究的目的:
- 调查是否灵活招募大脑状态可以作为认知控制的中间表型.
- 为了检查跨跨诊断精神病学样本之间的这种关系.
- 确定支持认知控制灵活性的共享神经网络.
主要方法:
- 在三个独立数据集 (N>600) 上利用了机器学习和外部验证.
- 使用任务和问卷数据评估认知控制组件 (抑制,转移).
- 采用基于连接体的预测建模,并分析了大脑网络动态.
主要成果:
- 灵活的大脑状态参与强有力的预测了跨数据集和参与者群体的认知控制指标.
- 分享的大脑网络以跨诊断的方式支了灵活的大脑状态参与.
- 灵活的大脑状态参与和网络连接的时间调整与更好的认知控制相关.
结论:
- 大脑状态的灵活参与是认知控制的强大的中间表型.
- 这种灵活性支持认知控制的个体间和个体内差异.
- 这些发现提供了一个跨诊断的神经机制,将大脑动态与心理健康中的认知功能联系起来.
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