大脑网络动态反映了精神疾病状态和跨诊断性症状概况,跨健康和疾病
bioRxiv : the preprint server for biology
|June 12, 2025
概括
精神疾病中的大脑网络动态显示了认知状态的灵活性发生变化. 这些网络变化可以比诊断标签更好地识别症状概况,突出抑制控制.
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.
- 计算生物学 计算生物学
背景情况:
- 人类大脑的网络组织是动态和适应性的.
- 在精神疾病中,这种适应能力可能会受到损害,影响症状.
- 了解这些干扰对于跨诊断方法至关重要.
研究的目的:
- 为了调查大脑网络动态如何在具有和没有精神病诊断的个体的认知状态之间有所不同.
- 为了确定大脑网络动态是否可以比传统的诊断类别更有效地区分症状概况.
- 确定认知控制和前对对联网络在这些动态中的作用.
主要方法:
- 功能磁共振成像 (fMRI) 数据 (静止状态和任务唤起) 从一个跨诊断样本中收集.
- 功能性连接体被分解,以分析六个认知状态中的大脑网络动态.
- 从110个临床,行为和认知指标中,用于识别四个核心维度的功能.
主要成果:
- 在患有精神疾病的个体中,大脑网络动态在认知状态之间被平整.
- 网络动态可以准确地分离尺寸症状配置文件,超过病例控制状态和诊断分组.
- 抑制性认知控制和前对对联网络相互作用发挥了关键作用.
结论:
- 通过认知状态改变大脑网络动态是精神疾病的一个特征.
- 大脑网络动态提供了一个强大的方法来区分跨诊断症状维度.
- 这种方法为精神病功能在健康和疾病方面的神经支提供了新的见解.
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