年轻人的认知亚型具有临床精神病高风险
medRxiv : the preprint server for health sciences
|August 30, 2024
概括
研究人员在患有精神病临床高风险 (CHR) 的人群中确定了不同的认知亚型. 早期认知评估对于定制干预措施和改善CHR年轻人的结果至关重要.
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.
- 机器学习 机器学习
背景情况:
- 认知障碍是精神分裂症的核心特征,通常在精神病发作之前.
- 在临床高风险 (CHR) 阶段研究认知亚型对于早期干预至关重要.
- 认知缺陷的异质性需要个性化治疗方法.
研究的目的:
- 在大型CHR样本中识别和验证认知亚型.
- 描述这些亚型的基线和纵向认知和功能轨迹.
- 在已识别的认知集群中划分转化状态.
主要方法:
- 基于机器学习的集群分析对CHR青年和对照者的认知措施.
- 使用单独的大样本进行独立验证 (NAPLS 2和NAPLS 3).
- 对基线和纵向认知和24个月的功能进行集群的比较.
主要成果:
- 确定了两个主要的认知集群:"受损"和"完好无损"与对照人群相比,在CHR个体中.
- 认知障碍的CHR个体在注意力和工作记忆中表现出"赶上"的轨迹.
- 在受损组中,转化为精神病的比例更高,非情感精神障碍诊断的比率更高.
结论:
- 证据支持在CHR年轻人中存在不同的完整和受损的认知亚型.
- 注意力和工作记忆是CHR个体和对照组之间的关键差异化因素.
- 基于早期认知评估的定制干预措施对于改善CHR个体的结果至关重要.
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