Institute for Research and Development in Bioengineering and Bioinformatics (IBB), CONICET-UNER, Oro Verde, Argentina.
Centre for Rehabilitation Engineering and Neuromuscular and Sensory Research (CIRINS), Faculty of Engineering, National University of Entre Ríos, Oro Verde, Argentina.
Eur J Neurosci. 2022 Oct;56(7):5090-5105. doi: 10.1111/ejn.15798. Epub 2022 Aug 31.
Several models have been developed to analyse cortical activity in response to salient events constituted by multiple sensory modalities. In particular, additive models compare event-related potentials (ERPs) in response to stimuli from two or more concomitant sensory modalities with the ERPs evoked by unimodal stimuli, in order to study sensory interactions. In this approach, components that are not specific to a sensory modality are commonly disregarded, although they likely carry information about stimulus expectation and evaluation, attentional orientation and other cognitive processes. In this study, we present an analytical method to assess the contribution of modality-specific and nonspecific components to the ERP. We developed an experimental setup that recorded ERPs in response to four stimulus types (visual, auditory, and two somatosensory modalities to test for stimulus specificity) in three different conditions (unimodal, bimodal and trimodal stimulation) and recorded the saliency of these stimuli relative to the sensory background. Stimuli were delivered in pairs, in order to study the effects of habituation. To this end, spatiotemporal features (peak amplitudes and latencies at different scalp locations) were analysed using linear mixed models. Results showed that saliency relative to the sensory background increased with the number of concomitant stimuli. We also observed that the spatiotemporal features of modality-specific components derived from this method likely reflect the amount and type of sensory input. Furthermore, the nonspecific component reflected habituation occurring for the second stimulus in the pair. In conclusion, this method provides an alternative to study neural mechanisms of responses to multisensory stimulation.
已经开发出了几种模型来分析响应多个感觉模态的显著事件的皮质活动。特别是,加性模型将响应来自两个或更多伴随感觉模态的刺激的事件相关电位 (ERP) 与响应单模态刺激的 ERP 进行比较,以研究感觉相互作用。在这种方法中,通常忽略不是特定于感觉模态的组件,尽管它们可能携带关于刺激预期和评估、注意力取向和其他认知过程的信息。在这项研究中,我们提出了一种分析方法来评估特定于模态和非特定于模态的组件对 ERP 的贡献。我们开发了一种实验设置,该设置记录了响应四种刺激类型(视觉、听觉和两种体感模态,以测试刺激特异性)的 ERP,在三种不同条件(单模态、双模态和三模态刺激)下,并记录了这些相对于感觉背景的刺激的显着性。刺激以成对的方式提供,以研究习惯化的影响。为此,使用线性混合模型分析了时空特征(不同头皮位置的峰值幅度和潜伏期)。结果表明,相对于感觉背景的显着性随着伴随刺激数量的增加而增加。我们还观察到,从这种方法得出的特定于模态的组件的时空特征可能反映了感觉输入的数量和类型。此外,非特定组件反映了对配对中第二个刺激的习惯化。总之,该方法为研究多感觉刺激响应的神经机制提供了一种替代方法。