Srikanth Ryali

Publications

• A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI. Ryali S, Chen T, Supekar K, Menon V. Neuroimage. 2013: 65 83-96
• Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. Lucina Uddin, Kaustubh Supekar, Srikanth Ryali, Vinod Menon. Journal of Neuroscience. 2011
• Multivariate dynamical systems models for estimating causal interactions in fMRI. Ryali S, Supekar K, Chen T, Menon V. Neuroimage. 2011; 54 (2): 807-23
• Sparse logistic regression for whole-brain classification of fMRI data. Ryali S, Supekar K, Abrams DA, Menon V. Neuroimage. 2010; 51 (2): 752-64
• Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings. Ryali S, Glover GH, Chang C, Menon V. Neuroimage. 2009; 48 (2): 348-61
• Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. Casanova R, Srikanth R, Baer A, Laurienti PJ, Burdette JH, Hayasaka S, Flowers L, Wood F, Maldjian JA. Neuroimage. 2007; 34 (1): 137-43
• Estimation of false discovery rates for wavelet-denoised statistical parametric maps. Srikanth R, Casanova R, Laurienti PJ, Peiffer AM, Maldjian JA. Neuroimage. 2006; 33 (1): 72-84
• Wavelet-based estimation of hemodynamic response function from fMRI data. Srikanth R, Ramakrishnan AG. Int J Neural Syst. 2006; 16 (2): 125-38
• Contextual encoding in uniform and adaptive mesh-based lossless compression of MR images. Srikanth R, Ramakrishnan AG. IEEE Trans Med Imaging. 2005; 24 (9): 1199-206
• Multivariate searchlight classification of structural MRI in children and adolescents with autism. Uddin, L. Q, Menon, V., Young, C. B., Ryali, S., Chen, T., Khouzam, A., Minshew, N. J. & Hardan. Biological Psychiatry.
• Inter-subject synchronization of brain responses during natural music listening. Abrams DA, Ryali S, Chen T, Chordia P, Khouzam A, Levitin DJ, Menon V. Eur J Neurosci. 2013; 37 (9): 1458-69
• Multivariate Activation and Connectivity Patterns Discriminate Speech Intelligibility in Wernicke's, Broca's, and Geschwind's Areas. Abrams DA, Ryali S, Chen T, Balaban E, Levitin DJ, Menon V. Cereb Cortex. 2013; 23 (7): 1703-14
• Decoding subject-driven cognitive states with whole-brain connectivity patterns. Shirer WR, Ryali S, Rykhlevskaia E, Menon V, Greicius MD. Cereb Cortex. 2012; 22 (1): 158-65
• Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty. Ryali S, Chen T, Supekar K, Menon V. Neuroimage. 2012; 59 (4): 3852-61
• Hippocampal-prefrontal engagement and dynamic causal interactions in the maturation of children's fact retrieval. Cho S, Metcalfe AW, Young CB, Ryali S, Geary DC, Menon V. J Cogn Neurosci. 2012; 24 (9): 1849-66
• Decoding temporal structure in music and speech relies on shared brain resources but elicits different fine-scale spatial patterns. Abrams DA, Bhatara A, Ryali S, Balaban E, Levitin DJ, Menon V. Cereb Cortex. 2011; 21 (7): 1507-18
• Discriminatory Learning based Performance Monitoring of Batch Processes Yelchuru, Ramprasad,, Srikanth Ryali, Patel, Shailesh, Gudi, Ravindra. American Control Conference, USA. 2011
• Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. Uddin LQ, Supekar KS, Ryali S, Menon V. J Neurosci. 2011; 31 (50): 18578-89
• How does a child solve 7 + 8? Decoding brain activity patterns associated with counting and retrieval strategies. Cho S, Ryali S, Geary DC, Menon V. Dev Sci. 2011; 14 (5): 989-1001
• Aging and the interaction of sensory cortical function and structure. Peiffer AM, Hugenschmidt CE, Maldjian JA, Casanova R, Srikanth R, Hayasaka S, Burdette JH, Kraft RA, Laurienti PJ. Hum Brain Mapp. 2009; 30 (1): 228-40
• Prediction of Batch Quality Indices Using Functional Space Approximation and Partial Least Squares Yelchuru, Ramprasad,, Patel, Shailesh, Srikanth Ryali, Gudi, Ravindra. American Control Conference, USA.. 2008
• The impact of temporal regularization on estimates of the BOLD hemodynamic response function: a comparative analysis. Casanova R, Ryali S, Serences J, Yang L, Kraft R, Laurienti PJ, Maldjian JA. Neuroimage. 2008; 40 (4): 1606-18
• Polarization-rich continuous wave direct imaging: modeling and visualization R. S. Umesh, A. G. Ramakrishnan, R. Srikanth, R. Hema, S. Divya. Applied Optics. 2006; 45 (18): 4344-4354
• Modeling and on-line recognition of PD signal buried in excessive noise Shetty PK, Srikanth R, Ramu TS. Signal processing. 2004; 84 (12): 2389-2401
• Region of Interest Coding of 2-D and 3-D Magnetic Resonance Images Srikanth Ryali, A.G. Ramakrishnan. ICVGIP. 2004
• Shape Adaptive Integer Wavelet Transform based coding scheme for 2-D/3-D MR Images Abhishek Mehrotra,, Srikanth Ryali, A.G.Ramakrishnan. Data Compression Conference, Snowbird, Utah, USA,. 2004
• MR Image Coding using Content-based Mesh and Context", Srikanth Ryali, A.G. Ramakrishnan. International Symposium on Signal Processing and Applications. 2003
• Model based Bayesian approach for MR Image Segmentation Niranjan Joshi, Srikanth Ryali, A.G.Ramakrishnan. ICAPR. 2003
• Parameter Estimation of HRF and Classification of fMRI data using Probabilistic PCA Modeling Srikanth Ryali,,, A.G.Ramakrishnan. ICAPR. 2003
• Parameter Estimation of HRF and Classification of fMRI data using Probabilistic PCA Modeling Srikanth Ryali,,, A.G.Ramakrishnan. ICAPR. 2003
• Wavelet-based Coding of 2-D and 3-D coding of MR images Srikanth Ryali,, A.G. Ramakrishnan. IEEE-TENCON. 2003