Dr. Michael S. Beauchamp
The University of Texas Health Science Center at Houston
Department of Neurobiology & Anatomy
- functional magnetic resonance imaging (fMRI) of human cognition and perception
- visual motion
- multisensory integration
Functional magnetic resonance imaging (fMRI) is a new technique that allows human brain activity to measure non-invasively with high spatial and temporal precision. Using fMRI, we study the neural mechanisms underlying cognition and perception. The two main themes of our research are visual motion perception and multisensory integration. Our visual system is remarkably adept at extracting information from the moving objects that surround us every day. For instance, we must calculate the speed and direction of an incoming ball in order to catch it, or determine if the driver in the car next to ours is waving at us in a friendly fashion or shaking their fist in an angry fashion. The goal of our research is to determine how the brain translates the rapidly-changing visual information into meaningful actionable concepts such as "wave" or "fist-shake", "hammer" or "saw". This research is important for understanding the difficulties faced by patients who have difficulties interpreting biological motion, such as autism spectrum disorder, and may also have implications for patients with language learning impairments, who have difficulties in the rapid processing required for reading. In addition to visual information, our brain also receives input from other sensory modalities. For instance, even if we cannot see our mobile phone blinking, we can hear its ring or feel its vibration in our pocket. Our research has shown that regions of superior temporal sulcus are especially important for this process of multisensory integration. In superior temporal sulcus, different sensory inputs converge into patches of cortex, allowing multisensory integration to occur.
A tutorial in my laboratory would provide experience with the state-of-the-art in fMRI. Students can design fMRI experiments, create stimuli, collect functional and structural MR images, and create activation maps that illustrate the brain regions responsive to the task they have designed.
Beauchamp, MS, Lee, KE, Haxby, JV, and Martin, A (2002) Parallel visual motion processing streams for manipulable objects and human movements. Neuron 34: 149-159.
Beauchamp, MS (2003) Detection of eye movements from fMRI data. Magn Reson Med 49: 376-380.
Beauchamp, MS, Lee, KE, Haxby, JV, and Martin, A (2003) FMRI responses to video and point-light displays of moving humans and manipulable objects. J Cogn Neurosci 15: 991-1001.
Petit, L, and Beauchamp, MS (2003) Neural basis of visually guided head movements studied with fMRI. J Neurophysiol 89: 2516-2527.
Beauchamp, MS, Lee, KE, Argall, BD, and Martin, A (2004) Integration of auditory and visual information about objects in superior temporal sulcus. Neuron 41: 809-823.
Beauchamp, MS, Argall, BD, Bodurka, J, Duyn, JH, and Martin, A (2004) Unraveling multisensory integration: patchy organization within human STS multisensory cortex. Nat Neurosci 7: 1190-1192.
Beauchamp, MS (2005) Statistical criteria in FMRI studies of multisensory integration. Neuroinformatics 3: 93-114.
Beauchamp, MS (2005) See me, hear me, touch me: multisensory integration in lateral occipital-temporal cortex. Curr Opin Neurobiol. Apr;15(2):145-53.
Argall, BD, Saad, ZS, and Beauchamp, MS. A simplified method for intersubject averaging on the cortical surface using SUMA. Human Brain Mapping, in press.
Program in Neuroscience
Office: MSB 7.046
Title: Assistant Professor
Ph.D. - University of California-San Diego - 1997