Dubey Manisha, Chitturi Vinay, Tayade Prashant, Sharma Ratna, Kaur Simran
Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, Delhi, India.
Department of Physiology, All India Institute of Medical Sciences, Rajkot, Gujarat, India.
Ann Neurosci. 2024 Aug 12:09727531241262193. doi: 10.1177/09727531241262193.
The fascinating ability of brain to integrate information from multiple sensory inputs has intrigued many researchers. Audio-visual (AV) interaction is a form of multisensory integration which we encounter to form meaningful representations of the environment around us. There is limited literature related to the underlying neural mechanisms.
Quantitative EEG (QEEG), a tool with high temporal resolution can be used to understand cortical sources of AV interactions.
EEG data was recorded using 128 channels from 30 healthy subjects using audio, visual and AV stimuli in 'object detection task'. Electrical source imaging was performed using s-LORETA across seven frequency bands (lower alpha 1, lower alpha 2, upper alpha, beta, delta, gamma, theta) during AV versus unimodal conditions across 66 gyri.
The cortical sources were activated in the theta, beta, and gamma bands in cross modal versus unimodal conditions, which we propose, reflect neural communication for AV interaction network. The cortical sources constituted areas involved with visual processing, auditory processing, established multisensory (frontotemporal cortex, parietal cortex, middle temporal gyrus, superior frontal gyrus, inferior frontal gyrus, precentral gyrus) and potential multisensory areas (paracentral, postcentral and subcallosal).
Together, these results offer an integrative view of cortical areas in frequency oscillations during AV interactions.
大脑整合来自多种感觉输入信息的迷人能力吸引了许多研究人员。视听（AV）交互是一种多感觉整合形式，我们通过它来形成对周围环境的有意义表征。关于其潜在神经机制的文献有限。
定量脑电图（QEEG）是一种具有高时间分辨率的工具，可用于了解AV交互的皮层源。
在“目标检测任务”中，使用音频、视觉和AV刺激，从30名健康受试者身上通过128个通道记录脑电图数据。在AV与单模态条件下，跨越66个脑回，使用s-LORETA在七个频段（低α1、低α2、高α、β、δ、γ、θ）进行电源成像。
在跨模态与单模态条件下，皮层源在θ、β和γ频段被激活，我们认为这反映了AV交互网络的神经通信。皮层源构成了与视觉处理、听觉处理、已确定的多感觉区域（额颞叶皮层、顶叶皮层、颞中回、额上回、额下回、中央前回）和潜在多感觉区域（中央旁、中央后和胼胝体下）相关的区域。
总之，这些结果提供了AV交互过程中频率振荡时皮层区域的综合视图。
