@article {Safford9064, author = {Ashley S. Safford and Elizabeth A. Hussey and Raja Parasuraman and James C. Thompson}, title = {Object-Based Attentional Modulation of Biological Motion Processing: Spatiotemporal Dynamics Using Functional Magnetic Resonance Imaging and Electroencephalography}, volume = {30}, number = {27}, pages = {9064--9073}, year = {2010}, doi = {10.1523/JNEUROSCI.1779-10.2010}, publisher = {Society for Neuroscience}, abstract = {Although it is well documented that the ability to perceive biological motion is mediated by the lateral temporal cortex, whether and when neural activity in this brain region is modulated by attention is unknown. In particular, it is unclear whether the processing of biological motion requires attention or whether such stimuli are processed preattentively. Here, we used functional magnetic resonance imaging, high-density electroencephalography, and cortically constrained source estimation methods to investigate the spatiotemporal effects of attention on the processing of biological motion. Directing attention to tool motion in overlapping movies of biological motion and tool motion suppressed the blood oxygenation level-dependent (BOLD) response of the right superior temporal sulcus (STS)/middle temporal gyrus (MTG), while directing attention to biological motion suppressed the BOLD response of the left inferior temporal sulcus (ITS)/MTG. Similarly, category-based modulation of the cortical current source density estimates from the right STS/MTG and left ITS was observed beginning at \~{}450 ms following stimulus onset. Our results indicate that the cortical processing of biological motion is strongly modulated by attention. These findings argue against preattentive processing of biological motion in the presence of stimuli that compete for attention. Our findings also suggest that the attention-based segregation of motion category-specific responses only emerges relatively late (several hundred milliseconds) in processing.}, issn = {0270-6474}, URL = {https://www.jneurosci.org/content/30/27/9064}, eprint = {https://www.jneurosci.org/content/30/27/9064.full.pdf}, journal = {Journal of Neuroscience} }