皮层生成器和连接 底层的语音感知:一个不匹配的消极性和P300调查
Yana Criel1, Emma Depuydt2, Marijke Miatton3,4
1Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium. Yana.Criel@UGent.be.
Brain topography
|July 3, 2024
概括
这项研究使用MMN和P300确定了被动和主动语音声音感知的大脑网络. 调查结果显示,有明显的前端-时间-平行网和前端-平行网-状网,两者都有双边处理.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 听觉感知是一种听觉感知.
背景情况:
- 语音感知的神经基础,特别是MMN和P300的皮质生成器,仍然不完全理解.
- 研究这些听觉事件相关潜能与语音声音处理之间的相互作用对于理解听觉认知至关重要.
研究的目的:
- 为了确定皮质来源和功能连接,导致不匹配负面性 (MMN) 和P300.
- 为了区分涉及被动与主动语音声音感知的神经网络.
主要方法:
- 在60名健康成年人中采用了不注意的 (MMN) 和注意的 (P300) 语音奇怪模式.
- 使用高密度EEG记录与eLORETA源重建和功能连接的交叉相关性分析.
主要成果:
- 发现MMN激活集群在,额叶和额叶皮层中,支持通过右对左额叶网络的被动音符歧视.
- P300的激活在额头皮层,额头皮层和带皮层中突出,连接额头皮层,带皮层和带皮层的网络用于积极的目标检测.
- 无论是MMN还是P300处理都涉及主要的双边神经网络.
结论:
- 消极的语音区分依赖于前端-时间-双层网络,而积极的分类则涉及前端-双层-状皮层.
- 语音对比的神经处理,如MMN和P300所反映的,显示没有显著的横向化到语言主导半球.
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