心理科学进展 ›› 2021, Vol. 29 ›› Issue (1): 31-44.doi: 10.3724/SP.J.1042.2021.00031
收稿日期:
2019-11-20
出版日期:
2021-01-15
发布日期:
2020-11-23
通讯作者:
任俊,汪俊
E-mail:drinren@163.com;jun.wang@zjnu.edu.cn
基金资助:
JIA Lei, XU Yu-fan, WANG Cheng, REN Jun(), WANG Jun()
Received:
2019-11-20
Online:
2021-01-15
Published:
2020-11-23
Contact:
REN Jun,WANG Jun
E-mail:drinren@163.com;jun.wang@zjnu.edu.cn
摘要:
多感觉整合是对不同感官信息进行选择、联系、统一乃至解释的加工过程, 它需要神经系统不同功能区域的共同投入与相互协调, 以实现多种感觉信息的时间捆绑以及全局性的预测编码。而γ神经振荡因具有反映神经皮层兴奋/抑制的平衡状况, 实现多感官信息的时间同步, 以及通过跨频耦合实现全局性预测编码的特点, 在多感觉整合的加工过程中发挥着重要作用。相比正常个体, 自闭症患者神经系统中的GABA中间神经元存在结构与功能异常, 导致γ神经振荡紊乱, 由此破坏了正常的时间同步以及预测编码加工, 并最终引发多感觉整合失调。基于上述因果关联, 未来研究可结合无创可逆性干预技术, 以γ节律神经振荡为生物反馈指标, 形成科学系统化的临床干预治疗方案。
中图分类号:
贾磊, 徐玉帆, 王成, 任俊, 汪俊. (2021). γ节律神经振荡:反映自闭症多感觉整合失调的一项重要生物指标. 心理科学进展 , 29(1), 31-44.
JIA Lei, XU Yu-fan, WANG Cheng, REN Jun, WANG Jun. (2021). Gamma oscillation: An important biomarker reflecting multisensory integration deficits in autism spectrum disorders. Advances in Psychological Science, 29(1), 31-44.
频谱能量类型 | 刺激/反应的锁相情况 | 与锁相系数的相关性 | 提取分析方法 |
---|---|---|---|
总频谱能量(total) | 非确定性的 | 根据锁相系数的大小来确定神经振荡是诱发型的还是引发型的 | 基于单个试次做频谱/时频分析后, 再对所有试次进行平均; |
诱发型(evoked) | 高锁相 | 正相关 | 先在时域对试次平均后进行频谱/时频分析; |
引发型(induced) | 低锁相或非锁相 | 负相关 | 用总的神经振荡能量减去诱发性的神经振荡能量; |
自发型(spontaneous) | 非确定性的 | 非确定性的 | 对连续记录的EEG/MEG数据进行分段后, 基于每个分段进行频谱/时频分析, 之后再做平均。 |
表1 神经振荡频谱能量分析提取的不同方法及其衍生出的不同类型
频谱能量类型 | 刺激/反应的锁相情况 | 与锁相系数的相关性 | 提取分析方法 |
---|---|---|---|
总频谱能量(total) | 非确定性的 | 根据锁相系数的大小来确定神经振荡是诱发型的还是引发型的 | 基于单个试次做频谱/时频分析后, 再对所有试次进行平均; |
诱发型(evoked) | 高锁相 | 正相关 | 先在时域对试次平均后进行频谱/时频分析; |
引发型(induced) | 低锁相或非锁相 | 负相关 | 用总的神经振荡能量减去诱发性的神经振荡能量; |
自发型(spontaneous) | 非确定性的 | 非确定性的 | 对连续记录的EEG/MEG数据进行分段后, 基于每个分段进行频谱/时频分析, 之后再做平均。 |
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