Brain Imaging

Cognitive NeuroscienceThe aim of Cognitive Neuroscience is to investigate the mechanistic basis of the cognitive capabilities of the brain. A bottom-up approach involves studying the basic computational unit of the brain, the neuron, and trying to explain the behavior of the organism in terms of the basic building blocks. However, science has not been fully successful in bridging the gap between the neuron and behavior using this bottom-up approach. On the contrary, a top-down approach involves studying larger computation units such as Broadmann's areas for explaining behavior.

Either approach involved invasive methodologies in olden days, but with the advent of imaging technologies, it is possible to do it non-invasively. One such methodology which provides excellent spatial resolution is functional magnetic resonance imaging (fMRI). With the advent of fMRI two decades ago, it is possible to image brain function using the blood oxygenation level dependent (BOLD) contrast with very high sensitivity. This has enabled exhaustive investigation of brain's cognitive capabilities using the top-down approach and have opened new avenues for research in cognitive neuroscience. fMRI technology is highly inter-disciplinary involving the knowledge of physics for imaging, signal processing for data analysis and neuroscience for the interpretation of the results. At the AUMRIRC, we are interested in all aspects of fMRI data acquisition, analysis and applications to areas as diverse as psychology, clinical medicine and economics.


Graduate Students


  • Hao Jia (Asst. Prof at Taiyuan University of Technology, China)
  • Peng Wang
  • Karthik Ramakrishnan Sreenivasan (Staff Scientist at Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas)
  • Sreenath Pruthviraj Kyathanahally (Doctoral student at University of Bern, Switzerland)
  • Yunzhi Wang (Doctoral student at University of Oklahoma)
  • Nurhan Erbil
  • Madhura Baxi(Doctoral student at Boston University)
Last Updated: Aug 04, 2017