Publications

Dissertations

A. Venkataraman. Generative Models of Brain Connectivity for Population Studies. PhD Thesis. Massachusetts Institute of Technology, Cambridge MA, 2012.

A. Venkataraman. Signal Approximation Using the Bilinear Transform. MEng Thesis. Massachusetts Institute of Technology, Cambridge MA, 2007.

 

Journal Articles

D. Rangaprakash, M.N. Dretsch, A. Venkatraman, J.S. Katz, T.S. Denney Jr. and G. Deshpande. Identifying Disease Foci from Static and Dynamic Effective Connectivity Networks: Illustration in Soldiers with Trauma. Human Brain Mapping, ePub, 2017.

S. Zhao, D. Rangaprakash, A. Venkataraman, P. Liang and G. Deshpande. Investigating Focal Connectivity Decits in Alzheimer’s Disease using Directional Brain Networks Derived from Resting-State fMRI. Frontiers on Aging Neurosci, 9: 1-12, 2017.

S. van Noordt, J. Wu, A. Venkataraman, M.J. Larson, M. South and M.J. Crowley. Inter-trial Coherence of Medial Frontal Theta Oscillations Linked to Differential Feedback Processing in High-Functioning Autism. Res in Autism Spect Disorders, 33:1-10 2017.

A. Venkataraman, D. Yang, N. Dvornek, L.H. Staib, J.S. Duncan, K.A. Pelphrey and P. Ventola. Pivotal Response Treatment Prompts a Functional Rewiring of the Brain Among Individuals with Autism Spectrum Disorder. NeuroReport, 27:1081-1085, 2016.

D. Yang, K.A. Pelphrey, D.G. Sukhodolsky, M.J. Crowley, E. Dayan, N. Dvornek, A. Venkataraman , J.S Duncan, L.H. Staib and P. Ventola. Brain Responses to Biological Motion Predict Treatment Outcome in Young Children with Autism. Translational Psychiatry, 6(11):e948 2016.

A. Venkataraman, D. Yang, K.A. Pelphrey and J.S. Duncan. Bayesian Community Detection in the Space of Group-Level Functional Differences. IEEE Transactions on Medical Imaging, 35(8):1866-1882, 2016..

A. Venkataraman, J.S. Duncan, D. Yang and K.A. Pelphrey. An Unbiased Bayesian Approach to Functional Connectomics Implicates Social-Communication Networks in Autism. NeuroImage Clinical, 8:356-366, 2015.

A. Venkataraman, M. Kubicki and P. Golland. From Brain Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder. IEEE Transactions on Medical Imaging, 32(11):2078-2098, 2013.

A. Venkataraman, T.J. Whitford, C-F. Westin, P. Golland and M. Kubicki Whole Brain Resting State Functional Connectivity Abnormalities in Schizophrenia. Schizophrenia Research, 139(1-3):7-12, 2012.

A. Venkataraman, Y. Rathi, M. Kubicki, C-F. Westin and P. Golland. Joint Modeling of Anatomical and Functional Connectivity for Population Studies. IEEE Transactions on Medical Imaging, 31(2):191-199, 2012.

K.R.A. Van Dijk, T.Hedden, A. Venkataraman, K.C. Evans, S.W. Lazar and R.L. Buckner. Intrinsic Functional Connectivity As a Tool For Human Connectomics: Theory, Properties, and Optimization. Journal of Neurophysiology, 103(1):297-321, 2010.

 

Peer-Reviewed Conference Papers

N. Nandakumar, N.S. D’Souza, J. Craley, K. Manzoor, J. Pillai, S. Gujar, H. Sair, A. Venkataraman. Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields. In Proc. CNI: Connectomics in Neuroimaging, 2018. Selected for Oral Presentation

N.S. D’Souza, N. Wymbs, M.B. Nebel, S. Mostofsky and A. Venkataraman. A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data. To Appear in Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, 2018. Selected for Early Acceptance

J. Craley, E. Johnson, A. Venkataraman. A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models. In Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, 2018. Selected for Early Acceptance

A. Venkataraman, N. Wymbs, M.B. Nebel and S. Mostofsky. A Unied Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort. In Proc. CNI: International Workshop on Connectomics in Neuroimaging, pp. 1-10, 2017. Selected for Oral Presentation

N.C. Dvornek, D. Yang, A. Venkataraman, P. Ventola, L.H. Staib, K.A. Pelphrey and J.S. Duncan. Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. In Proc. Multimodal Learning for Clinical Decision Support, pp. 1-8, 2016. Selected for Oral Presentation

A. Venkataraman, D. Yang, K.A. Pelphrey and J.S. Duncan. Community Detection in
the Space of Functional Abnormalities Reveals both Heightened and Reduced Brain Synchrony in Autism
. In Proc. BAMBI: Bayesian and Graphical Models for Biomedical Imaging, 1-12, 2015. Selected for Oral Presentation

A. Sweet*, A. Venkataraman*, S.M. Stufflebeam, H. Liu, N. Tanaka and P. Golland. Detecting Epileptic Regions Based on Global Brain Connectivity Patterns. In Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, LNCS 8149:98-105, 2013. Selected for Oral Presentation

A. Venkataraman, M. Kubicki and P. Golland. From Brain Connectivity Models to Identifying Foci of a Neurological Disorder. In Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, LNCS 7510:697-704, 2012. Selected for Oral Presentation

A. Venkataraman, Y. Rathi, M. Kubicki, C-F. Westin and P. Golland. Joint Generative Model for fMRI/DWI and its Application to Population Studies. In Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, LNCS 6361:191-199, 2010. Selected for Oral Presentation

A. Venkataraman, M. Kubicki, C-F. Westin and P. Golland. Robust Feature Selection in Resting-State fMRI Connectivity Based on Population Studies. In Proc. MMBIA: IEEE CS Workshop on Mathematical Methods in Biomedical Image Analysis, 2010.

A. Venkataraman, K.R.A Van Dijk, R.L. Buckner and P. Golland. Exploring Functional Connectivity in fMRI via Clustering. In Proc. ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing, pp.441-444, 2009.

P. Golland, D. Lashkari and A. Venkataraman. Spatial Patterns and Functional Profiles for Discovering Structure in fMRI Data. Invited paper. In Proc. Asilomar Conference on Signals, Systems and Computers, pp.1402-1409, 2008.

A. Venkataraman and A.V. Oppenheim, Signal Approximation using the Bilinear Transform, In Proc. ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3729-3732, 2008.

 

Conference Abstracts

N.S. D’Souza, M.B. Nebel, N. Wymbs, S. Mostofsky, A. Venkataraman. A Generative-Discriminative Basis Learning Framework to Predict Autism Spectrum Disorder Severity. In Proc. ISBI: Intl Symposium on Biomedical Imaging, 2018.

N. Nandakumar, N.S. D’Souza, H. Sair, A. Venkataraman. A Modified K-Means Algorithm for Resting State FMRI Analysis of Brain Tumor Patients, As Validated by Language Localization. In Proc. ISBI: Intl Symposium on Biomedical Imaging, 2018.

J. Craley, E. Johnson, A. Venkataraman. Robust Seizure Detection Using Coupled Hidden Markov Models. In Proc. ISBI: Intl Symposium on Biomedical Imaging, 2018.

A. Venkataraman, J.S. Duncan, D. Yang and K.A. Pelphrey. Abnormal Functional Communities in Autism. In Proc: IMFAR: Intl Meeting For Autism Research, 2016.         Accepted for Oral Presentation

D. Rangaprakash, G. Deshpande, A. Venkataraman, J.S. Katz, T.S. Denney and M.N. Dretsch. Identifying Foci of Brain Disorders from Effective Connectivity Networks. In Proc: ISMRM, 2016. Awarded an Honorable Mention

A. Venkataraman, J.S. Duncan, D. Yang and K.A. Pelphrey. An Unbiased Bayesian Approach to Functional Connectomics Implicates Social-Communication Networks in Autism. In Proc. ISBI: International Symposium on Biomedical Imaging, 2015.       Invited Talk and Poster

S. Zhao, A. Venkataraman, P. Liang and G. Deshpande. Investigating the Role of Brain Stem in Alzheimer’s Disease using Directional Brain Networks derived from Resting State fMRI. In Proc: ISMRM, 2015.

A. Venkataraman, M. Kubicki and P. Golland. From Brain Connectivity Models to Identifying Foci of a Neurological Disorder. In Proc: 3rd Biennial Conference on Resting State Brain Connectivity, 2012.

A. Venkataraman, K.R.A Van Dijk, R.L. Buckner and P. Golland. Exploring Functional Connectivity in fMRI via Clustering. In Proc: Annual Meeting of the Organization of Human Brain Mapping, 2009.