Institute for Neuroscience and Psychology, Centre for Cognitive Neuroimaging, University of Glasgow.
Hum Brain Mapp. 2012 Feb;33(2):431-54. doi: 10.1002/hbm.21222. Epub 2011 Mar 9.
Face, hands, and body movements are powerful signals essential for social interactions. In the last 2 decades, a large number of brain imaging studies have explored the neural correlates of the perception of these signals. Formal synthesis is crucially needed, however, to extract the key circuits involved in human motion perception across the variety of paradigms and stimuli that have been used. Here, we used the activation likelihood estimation (ALE) meta-analysis approach with random effect analysis. We performed meta-analyses on three classes of biological motion: movement of the whole body, hands, and face. Additional analyses of studies of static faces or body stimuli and sub-analyses grouping experiments as a function of their control stimuli or task employed allowed us to identify main effects of movements and forms perception, as well as effects of task demand. In addition to specific features, all conditions showed convergence in occipito-temporal and fronto-parietal regions, but with different peak location and extent. The conjunction of the three ALE maps revealed convergence in all categories in a region of the right posterior superior temporal sulcus as well as in a bilateral region at the junction between middle temporal and lateral occipital gyri. Activation in these regions was not a function of attentional demand and was significant also when controlling for non-specific motion perception. This quantitative synthesis points towards a special role for posterior superior temporal sulcus for integrating human movement percept, and supports a specific representation for body parts in middle temporal, fusiform, precentral, and parietal areas.
面部、手部和身体运动是社交互动中必不可少的有力信号。在过去的 20 年中，大量的脑成像研究已经探索了感知这些信号的神经相关性。然而，迫切需要进行正式的综合分析，以提取跨各种范式和刺激条件下涉及人类运动感知的关键回路。在这里，我们使用激活似然估计（ALE）元分析方法进行随机效应分析。我们对三类生物运动进行了元分析：全身运动、手部运动和面部运动。对静态面部或身体刺激研究的额外分析以及根据其对照刺激或任务进行分组的子分析，使我们能够确定运动和形式感知的主要效应，以及任务需求的效应。除了特定特征外，所有条件都在枕颞和额顶区域显示出收敛，但峰位置和范围不同。三个 ALE 图的结合在右后颞上沟的一个区域以及颞中和外侧枕叶回之间的双侧区域显示出所有类别的收敛。这些区域的激活不是注意力需求的函数，即使在控制非特定运动感知时也是显著的。这种定量综合表明，后颞上沟在整合人类运动知觉方面具有特殊作用，并支持在颞中、梭状回、中央前回和顶叶区域对身体部位进行特定表示。
