Shibata Kazuhisa, Sasaki Yuka, Kawato Mitsuo, Watanabe Takeo
Department of Cognitive, Linguistic & Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, USA Department of Decoded Neurofeedback, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, 2-2-2 Hikaridai, Keihanna Science City, Kyoto 619-0288, Japan Current address: Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan.
Department of Cognitive, Linguistic & Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, USA Department of Decoded Neurofeedback, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, 2-2-2 Hikaridai, Keihanna Science City, Kyoto 619-0288, Japan.
Cereb Cortex. 2016 Sep;26(9):3681-9. doi: 10.1093/cercor/bhw176. Epub 2016 Jun 13.
Visual perceptual learning (VPL) is long-term performance improvement as a result of perceptual experience. It is unclear whether VPL is associated with refinement in representations of the trained feature (feature-based plasticity), improvement in processing of the trained task (task-based plasticity), or both. Here, we provide empirical evidence that VPL of motion detection is associated with both types of plasticity which occur predominantly in different brain areas. Before and after training on a motion detection task, subjects' neural responses to the trained motion stimuli were measured using functional magnetic resonance imaging. In V3A, significant response changes after training were observed specifically to the trained motion stimulus but independently of whether subjects performed the trained task. This suggests that the response changes in V3A represent feature-based plasticity in VPL of motion detection. In V1 and the intraparietal sulcus, significant response changes were found only when subjects performed the trained task on the trained motion stimulus. This suggests that the response changes in these areas reflect task-based plasticity. These results collectively suggest that VPL of motion detection is associated with the 2 types of plasticity, which occur in different areas and therefore have separate mechanisms at least to some degree.
视觉感知学习(VPL)是由于感知经验而导致的长期性能提升。目前尚不清楚VPL是与训练特征表征的细化(基于特征的可塑性)、训练任务处理的改善(基于任务的可塑性)相关,还是与两者都相关。在这里,我们提供了实证证据,表明运动检测的VPL与这两种类型的可塑性都相关,且它们主要发生在不同的脑区。在对运动检测任务进行训练之前和之后,使用功能磁共振成像测量了受试者对训练过的运动刺激的神经反应。在V3A区域,训练后观察到显著的反应变化,这种变化专门针对训练过的运动刺激,且与受试者是否执行训练任务无关。这表明V3A区域的反应变化代表了运动检测VPL中基于特征的可塑性。在V1和顶内沟区域,只有当受试者对训练过的运动刺激执行训练任务时,才发现显著的反应变化。这表明这些区域的反应变化反映了基于任务的可塑性。这些结果共同表明,运动检测的VPL与这两种类型的可塑性相关,它们发生在不同区域,因此至少在某种程度上具有独立的机制。