Rajan S Patel

Summary

Affiliation: Emory University
Country: USA

Publications

  1. ncbi request reprint A Bayesian approach to determining connectivity of the human brain
    Rajan S Patel
    Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
    Hum Brain Mapp 27:267-76. 2006
  2. ncbi request reprint Determining hierarchical functional networks from auditory stimuli fMRI
    Rajan S Patel
    Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
    Hum Brain Mapp 27:462-70. 2006
  3. ncbi request reprint Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data
    Rajan S Patel
    Department of Biostatistics, The Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
    Neuroimage 31:1142-55. 2006

Detail Information

Publications3

  1. ncbi request reprint A Bayesian approach to determining connectivity of the human brain
    Rajan S Patel
    Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
    Hum Brain Mapp 27:267-76. 2006
    ..Our method can be used to develop causal brain networks for use with structural equation modeling and dynamic causal models...
  2. ncbi request reprint Determining hierarchical functional networks from auditory stimuli fMRI
    Rajan S Patel
    Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA
    Hum Brain Mapp 27:462-70. 2006
    ..Finally, our results revealed no significant "speaker" effect or interaction between "speaker" and "sentence."..
  3. ncbi request reprint Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data
    Rajan S Patel
    Department of Biostatistics, The Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
    Neuroimage 31:1142-55. 2006
    ..Our method improves upon existing wavelet-based methods and extends them to 4D. We apply our resampling technique to determine significant functional connectivity from resting state and motor task fMRI datasets...