Srikanth Ryali

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. pmc Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings
    S Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305 5778, USA
    Neuroimage 48:348-61. 2009
  2. pmc Sparse logistic regression for whole-brain classification of fMRI data
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 51:752-64. 2010
  3. pmc A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 65:83-96. 2013
  4. pmc Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 59:3852-61. 2012
  5. pmc Multivariate dynamical systems models for estimating causal interactions in fMRI
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305 5778, USA
    Neuroimage 54:807-23. 2011
  6. doi request reprint Inter-subject synchronization of brain responses during natural music listening
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
    Eur J Neurosci 37:1458-69. 2013
  7. pmc Underconnectivity between voice-selective cortex and reward circuitry in children with autism
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94304, USA
    Proc Natl Acad Sci U S A 110:12060-5. 2013
  8. pmc Salience network-based classification and prediction of symptom severity in children with autism
    Lucina Q Uddin
    Department of Psychiatry, Stanford University School of Medicine, Stanford, California 94305, USA
    JAMA Psychiatry 70:869-79. 2013
  9. pmc Hippocampal-prefrontal engagement and dynamic causal interactions in the maturation of children's fact retrieval
    Soohyun Cho
    Stanford University, Stanford, CA, USA
    J Cogn Neurosci 24:1849-66. 2012
  10. pmc Multivariate activation and connectivity patterns discriminate speech intelligibility in Wernicke's, Broca's, and Geschwind's areas
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
    Cereb Cortex 23:1703-14. 2013

Detail Information

Publications14

  1. pmc Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings
    S Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305 5778, USA
    Neuroimage 48:348-61. 2009
    ..We provide new insights into the strengths and weaknesses of each method using a unified subspace framework...
  2. pmc Sparse logistic regression for whole-brain classification of fMRI data
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 51:752-64. 2010
    ..These findings suggest that our method is not only computationally efficient, but it also achieves the twin objectives of identifying relevant discriminative brain regions and accurately classifying fMRI data...
  3. pmc A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 65:83-96. 2013
    ..Taken together, our findings suggest that our method is a powerful tool for investigating functional subdivisions in the human brain...
  4. pmc Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 59:3852-61. 2012
    ..Taken together, our findings suggest that SPC-EN provides a powerful tool for characterizing connectivity involving a large number of correlated regions that span the entire brain...
  5. pmc Multivariate dynamical systems models for estimating causal interactions in fMRI
    Srikanth Ryali
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305 5778, USA
    Neuroimage 54:807-23. 2011
    ..Our study suggests that VB estimation of MDS provides a robust method for estimating and interpreting causal network interactions in fMRI data...
  6. doi request reprint Inter-subject synchronization of brain responses during natural music listening
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
    Eur J Neurosci 37:1458-69. 2013
    ....
  7. pmc Underconnectivity between voice-selective cortex and reward circuitry in children with autism
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94304, USA
    Proc Natl Acad Sci U S A 110:12060-5. 2013
    ..Our study provides support for the social motivation theory of ASD. ..
  8. pmc Salience network-based classification and prediction of symptom severity in children with autism
    Lucina Q Uddin
    Department of Psychiatry, Stanford University School of Medicine, Stanford, California 94305, USA
    JAMA Psychiatry 70:869-79. 2013
    ..Autism spectrum disorder has been linked with atypical connectivity across multiple brain systems, yet the nature of these differences in young children with the disorder is not well understood...
  9. pmc Hippocampal-prefrontal engagement and dynamic causal interactions in the maturation of children's fact retrieval
    Soohyun Cho
    Stanford University, Stanford, CA, USA
    J Cogn Neurosci 24:1849-66. 2012
    ....
  10. pmc Multivariate activation and connectivity patterns discriminate speech intelligibility in Wernicke's, Broca's, and Geschwind's areas
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
    Cereb Cortex 23:1703-14. 2013
    ....
  11. pmc Estimation of resting-state functional connectivity using random subspace based partial correlation: a novel method for reducing global artifacts
    Tianwen Chen
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
    Neuroimage 82:87-100. 2013
    ..Our results suggest that RSMFC is an effective method for minimizing the effects of global artifacts and artificial negative correlations, while accurately recovering intrinsic functional brain networks. ..
  12. pmc Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development
    Lucina Q Uddin
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA
    J Neurosci 31:18578-89. 2011
    ....
  13. pmc Decoding temporal structure in music and speech relies on shared brain resources but elicits different fine-scale spatial patterns
    Daniel A Abrams
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305 5778, USA
    Cereb Cortex 21:1507-18. 2011
    ....
  14. pmc How does a child solve 7 + 8? Decoding brain activity patterns associated with counting and retrieval strategies
    Soohyun Cho
    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305 5719, USA
    Dev Sci 14:989-1001. 2011
    ..More generally, our study illustrates how brain imaging and developmental research can be integrated to investigate fundamental aspects of neurocognitive development...