MoMiLab, IMT School for Advanced Studies Lucca, Lucca 55100, Italy.
Manibus Lab, University of Turin, Turin 10124, Italy.
eNeuro. 2024 Sep 24;11(9). doi: 10.1523/ENEURO.0238-24.2024. Print 2024 Sep.
Studies employing EEG to measure somatosensory responses have been typically optimized to compute event-related potentials in response to discrete events. However, tactile interactions involve continuous processing of nonstationary inputs that change in location, duration, and intensity. To fill this gap, this study aims to demonstrate the possibility of measuring the neural tracking of continuous and unpredictable tactile information. Twenty-seven young adults (females, 15) were continuously and passively stimulated with a random series of gentle brushes on single fingers of each hand, which were covered from view. Thus, tactile stimulations were unique for each participant and stimulated fingers. An encoding model measured the degree of synchronization between brain activity and continuous tactile input, generating a temporal response function (TRF). Brain topographies associated with the encoding of each finger stimulation showed a contralateral response at central sensors starting at 50 ms and peaking at ∼140 ms of lag, followed by a bilateral response at ∼240 ms. A series of analyses highlighted that reliable tactile TRF emerged after just 3 min of stimulation. Strikingly, topographical patterns of the TRF allowed discriminating digit lateralization across hands and digit representation within each hand. Our results demonstrated for the first time the possibility of using EEG to measure the neural tracking of a naturalistic, continuous, and unpredictable stimulation in the somatosensory domain. Crucially, this approach allows the study of brain activity following individualized, idiosyncratic tactile events to the fingers.
采用 EEG 测量体感反应的研究通常经过优化,可计算对离散事件的事件相关电位。然而,触觉交互涉及到对位置、持续时间和强度不断变化的非平稳输入的连续处理。为了填补这一空白,本研究旨在展示测量连续和不可预测触觉信息的神经跟踪的可能性。27 名年轻成年人(女性 15 名)的双手单个手指被连续被动地用随机轻柔刷子轻柔地刺激,这些手指被遮挡起来,因此,每个参与者和刺激手指的触觉刺激都是独一无二的。一个编码模型测量了大脑活动与连续触觉输入之间的同步程度,生成了一个时间响应函数 (TRF)。与每个手指刺激编码相关的脑地形图显示,中央传感器在 50 毫秒时开始出现对侧反应,在 140 毫秒左右达到峰值,随后在 240 毫秒左右出现双侧反应。一系列分析强调,仅在 3 分钟的刺激后就出现了可靠的触觉 TRF。引人注目的是,TRF 的地形图模式允许区分双手的手指侧化和每个手内的手指表示。我们的结果首次证明了使用 EEG 测量体感域中自然、连续和不可预测刺激的神经跟踪的可能性。至关重要的是,这种方法允许研究手指个体化、特有的触觉事件后的大脑活动。