Unité de Neurosciences Cognitives (NESC), Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Cortex. 2011 Mar;47(3):367-76. doi: 10.1016/j.cortex.2010.03.003. Epub 2010 Mar 24.
Faces and voices are key features of human recognition but the way the brain links them together is still unknown. In this study, we measured brain activity using functional magnetic resonance imaging (fMRI) while participants were recognizing previously learned static faces, voices and voice-static face associations. Using a subtraction method between bimodal and unimodal conditions, we observed that voice-face associations activated both unimodal visual and auditory areas, and specific multimodal regions located in the left angular gyrus and the right hippocampus. Moreover, a functional connectivity analysis confirmed the connectivity of the right hippocampus with the unimodal areas. These findings demonstrate that binding faces and voices rely on a cerebral network sustaining different aspects of integration such as sensory inputs processing, attention and memory.
面孔和声音是人类识别的关键特征，但大脑将它们联系在一起的方式仍不清楚。在这项研究中，我们使用功能磁共振成像（fMRI）测量了参与者在识别先前学习的静态面孔、声音和声音-静态面孔关联时的大脑活动。通过在双模态和单模态条件之间进行减法方法，我们观察到声音-面孔关联激活了单模态视觉和听觉区域，以及位于左角回和右海马体的特定多模态区域。此外，功能连接分析证实了右海马体与单模态区域的连接。这些发现表明，将面孔和声音结合在一起依赖于维持整合不同方面的大脑网络，例如感觉输入处理、注意力和记忆。
