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同激活模式揭示了不同精神疾病之间的动态状态过渡的异常性

Lianjie Niu¹, Wenshi Li², Yongtao Bai³

¹Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, 127 Dongming Road, 450003, Jinshui, Zhengzhou, Henan, China.

Scientific reports

|April 1, 2025

概括

精神疾病在核心状态中共享动态大脑异常,具有独特的过渡模式,区分精神分裂症和多动症等疾病. 这些发现为心理健康中的大脑功能提供了一个新的网络视角.

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.
网络科学网络科学

背景情况:

越来越多的人对精神疾病的瞬态动态方法感兴趣.
当前的研究往往忽略了不同条件的共同和特定的动态特征.
了解精神疾病中的动态大脑异常至关重要.

研究的目的:

通过使用动态网络分析,调查精神分裂症,双相情感障碍和多动症的暂时大脑活动配置.
识别大脑活动模式中的共同和特定的动态异常.
探索动态大脑活动,功能梯度和认知行为之间的关系.

主要方法:

采用同激活模式 (CAP) 方法来分析大脑活动.
利用k-means集群来识别10个短暂的激活模式.
分析了状态过渡概率及其与功能梯度和认知行为的关联.

主要成果:

确定了10种不同的短暂大脑激活模式 (协同激活模式).
疾病表现出独特的状态过渡概率,反映出特定的动态异常.
常见的动态异常集中在核心状态 (状态1和状态2) 中,涉及注意力和感觉运动网络.
异常状态过渡与功能梯度和认知行为相关.

结论:

精神疾病在核心网络状态中具有共同的动态大脑异常.
动态大脑状态之间的特定过渡概率区分精神疾病.
动态网络分析为精神疾病的共同和特定特征提供了宝贵的见解.
研究结果表明,在精神疾病中,动态大脑活动,功能组织和认知缺陷之间存在联系.

关键词:

注意力缺陷/多动症障碍注意力缺陷/多动症双极 I 障碍是一种双极 I 障碍.协同激活模式同时激活模式精神分裂症是一种精神分裂症.国家过渡状态转型.

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