不匹配的消极性预测了精神疾病中异质人群的初始基于听觉的有针对性的认知训练表现
Yash B Joshi1, Christopher E Gonzalez1, Juan L Molina1
1VA San Diego Healthcare System, La Jolla, CA, USA; University of California, San Diego, Department of Psychiatry, La Jolla, CA, USA; Desert Pacific Mental Illness Research Education and Clinical Center, La Jolla, CA, USA.
Psychiatry research
|July 5, 2023
概括
早期的听觉信息处理生物标志物,如不匹配负面性 (MMN),可以预测在各种神经精神疾病中认知训练的成功. MMN显示了引导基于听觉的有针对性的认知训练 (ATCT) 干预的潜力.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 精神病学是一个精神病学.
背景情况:
- 基于听觉的有针对性的认知训练 (ATCT) 旨在通过增强听觉处理来改善认知功能.
- 早期听觉信息处理 (EAIP) 的生物标志物,如不匹配负面性 (MMN) 和P3a,以前预测过精神分裂症的ATCT收益.
研究的目的:
- 调查EAIP生物标志物 (MMN和P3a) 对跨多个神经精神病诊断的ATCT表现的预测能力.
- 评估MMN和P3a在预测精神分裂症,严重抑郁症,创伤后应激障碍和通用焦虑症患者的认知训练结果方面的实用性.
主要方法:
- 收集了26名被诊断为SZ,MDD,PTSD或GAD的参与者的MMN和P3a数据.
- 使用 MATRICS 共识认知电池 (MCCB) 评估认知功能.
- 参与者完成了"声音扫描"ATCT练习的1小时,在前两级训练中测量了表现.
主要成果:
- 虽然这些组显示出类似的MMN反应,但精神分裂症组显示出减弱的P3a.
- MMN和MCCB认知域t分数,但不是P3a,与ATCT性能有很强的相关性,解释了多达61%的差异.
- 参与者的诊断并不是ATCT表现的重要预测因素.
结论:
- 在异质神经精神病患者群体中,MMN作为ATCT表现的可靠预测指标.
- 应考虑EAIP生物标志物,特别是MMN,用于指导各种诊断群体的ATCT干预.
- 这些发现支持使用MMN来为患有各种神经精神疾病的个体量身定制ATCT.
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