Saito Kei, Otsuru Naofumi, Tateishi Kaito, Kurebayashi Ryuji, Onishi Hideaki
Department of Physical Therapy, Niigata University of Health and Welfare, Niigata, Japan.
Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.
Front Neurosci. 2025 May 9;19:1566615. doi: 10.3389/fnins.2025.1566615. eCollection 2025.
The sensitivity and discrimination capacity of sensory systems can be improved by perceptual training. Most individuals demonstrate tactile perceptual learning, but with marked differences in efficiency. Here, we investigated the neural mechanisms underlying individual differences in tactile learning efficiency at the network level.
Electroencephalographic (EEG) signals were recorded from 25 neurologically healthy participants at baseline, after one training session (50 trials) on the tactile grating orientation discrimination task (GOT), and again after four sessions of GOT training (200 training trials in total). Participants were then divided into low- and high-learning groups based on the post-training change in GOT threshold (sensitivity). Cortical alpha-band power, which is associated with sensory processing efficiency, was compared between baseline and post-training in low- and high-learning groups. Coherence analysis was also performed between EEG electrode pairs to reveal functional connectivity (FC) networks associated with low and high learning.
In the high-learner group, alpha-band power spectral density (PSD) was significantly stronger post-training at the left central-parietal electrodes. In addition, FC in the alpha band was significantly strengthened within left frontal-parietal regions after training. In the low-learner group, post-training alpha-band PSD was significantly strengthened at the bilateral frontal-central electrodes, while FC in the alpha band did not change significantly compared to baseline.
These results suggest that individual differences in tactile learning may result from the utilization of distinct neural networks.
感觉系统的敏感性和辨别能力可通过知觉训练得到提高。大多数个体都表现出触觉知觉学习,但效率存在显著差异。在此,我们在网络层面研究了触觉学习效率个体差异背后的神经机制。
对25名神经功能正常的参与者在基线时、在进行一次触觉光栅方向辨别任务(GOT)训练(50次试验)后以及在进行四次GOT训练(总共200次训练试验)后记录脑电图(EEG)信号。然后根据训练后GOT阈值(敏感性)的变化将参与者分为低学习组和高学习组。比较低学习组和高学习组在基线和训练后的与感觉处理效率相关的皮质α波段功率。还对EEG电极对之间进行了相干分析,以揭示与低学习和高学习相关的功能连接(FC)网络。
在高学习组中,训练后左侧中央顶叶电极处的α波段功率谱密度(PSD)显著增强。此外,训练后左侧额顶叶区域内α波段的FC显著增强。在低学习组中,训练后双侧额中央电极处的α波段PSD显著增强,而与基线相比,α波段的FC没有显著变化。
这些结果表明,触觉学习的个体差异可能源于不同神经网络的利用。