Maniglia Marcello
Department of Psychology, University of California, Riverside, CA 92507, USA.
Brain Commun. 2025 Jan 2;7(1):fcae468. doi: 10.1093/braincomms/fcae468. eCollection 2025.
Visual perceptual learning (VPL), the training-induced improvement in visual tasks, has long been considered the product of neural plasticity at early and local stages of signal processing. However, recent evidence suggests that multiple networks and mechanisms, including stimulus- and task-specific plasticity, concur in generating VPL. Accordingly, early models of VPL, which characterized learning as being local and mostly involving early sensory areas, such as V1, have been updated to embrace these newfound complexities, acknowledging the involvement on parietal (i.e. intra-parietal sulcus) and frontal (i.e. dorsolateral prefrontal cortex) areas, in aspects concerning decision-making, feedback integration and task structure. However, evidence of multiple brain regions differentially involved in different aspects of learning is thus far mostly correlational, emerging from electrophysiological and neuroimaging techniques. To directly address these multiple components of VPL, we propose to use a causal neuromodulation technique, namely transcranial random noise stimulation, to selectively modulate the activity of different brain regions suggested to be involved in various aspects of learning. Specifically, we will target a region in the occipital cortex, which has been associated with stimulus-specific plasticity, and one in the parietal cortex, which has been associated with task-specific plasticity, in a between-subject design. Measures of transfer of learning to untrained stimuli and tasks will be used to evaluate the role of different regions and test for double dissociations between learning effects and stimulated area, shedding lights on learning mechanisms in the visual system. Evidence of dissociable mechanisms of learning can help refine current models of VPL and may help develop more effective visual training and rehabilitation protocols.
视觉感知学习(VPL),即通过训练使视觉任务表现得到改善,长期以来一直被认为是信号处理早期和局部阶段神经可塑性的产物。然而,最近的证据表明,包括刺激和任务特异性可塑性在内的多个网络和机制共同促成了VPL的产生。相应地,早期将学习表征为局部且主要涉及早期感觉区域(如V1)的VPL模型已经得到更新,以接纳这些新发现的复杂性,承认顶叶(即顶内沟)和额叶(即背外侧前额叶皮质)区域在决策、反馈整合和任务结构等方面的参与。然而,到目前为止,多个脑区在学习不同方面存在差异参与的证据大多是相关性的,来自电生理和神经成像技术。为了直接研究VPL的这些多个组成部分,我们建议使用一种因果神经调节技术,即经颅随机噪声刺激,来选择性地调节被认为参与学习各个方面的不同脑区的活动。具体而言,在一项被试间设计中,我们将针对枕叶皮质中与刺激特异性可塑性相关的一个区域,以及顶叶皮质中与任务特异性可塑性相关的一个区域。将使用学习向未训练刺激和任务的迁移测量来评估不同区域的作用,并测试学习效果与刺激区域之间的双重解离,以揭示视觉系统中的学习机制。学习可分离机制的证据有助于完善当前的VPL模型,并可能有助于开发更有效的视觉训练和康复方案。