The Form of Referential Expressions in Discourse. - Amit Almor; Veena A. Nair (Lang. Linguistics Compass, 2007)

Support vector machine classification and characterization of age-related reorganization of functional brain networks. - Timothy B. Meier; Alok S. Desphande; Svyatoslav Vergun; Veena A. Nair; Jie Song 009; Bharat B. Biswal; Mary E. Meyerand; Rasmus M. Birn; Vivek Prabhakaran (NeuroImage, 2012)

Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. - Svyatoslav Vergun; Alok Deshpande; Timothy B. Meier; Jie Song 009; Dana Tudorascu; Veena A. Nair; Vikas Singh; Bharat B. Biswal; Mary Elizabeth Meyerand; Rasmus M. Birn; Vivek Prabhakaran (Frontiers Comput. Neurosci., 2013)

The effect of scan length on the reliability of resting-state fMRI connectivity estimates. - Rasmus M. Birn; Erin K. Molloy; Rémi Patriat; Taurean Parker; Timothy B. Meier; Gregory R. Kirk; Veena A. Nair; Mary Elizabeth Meyerand; Vivek Prabhakaran (NeuroImage, 2013)

The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated. - Rémi Patriat; Erin K. Molloy; Timothy B. Meier; Gregory R. Kirk; Veena A. Nair; Mary E. Meyerand; Vivek Prabhakaran; Rasmus M. Birn (NeuroImage, 2013)

The Influence of Physiological Noise Correction on Test-Retest Reliability of Resting-State Functional Connectivity. - Rasmus M. Birn; Maria Daniela Cornejo; Erin K. Molloy; Rémi Patriat; Timothy B. Meier; Gregory R. Kirk; Veena A. Nair; Mary Elizabeth Meyerand; Vivek Prabhakaran (Brain Connect., 2014)

Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks. - Jie Song 009; Rasmus M. Birn; Mélanie Boly; Timothy B. Meier; Veena A. Nair; Mary E. Meyerand; Vivek Prabhakaran (Brain Connect., 2014)

Disrupted Brain Functional Organization in Epilepsy Revealed by Graph Theory Analysis. - Jie Song 009; Veena A. Nair; Wolfgang Gaggl; Vivek Prabhakaran (Brain Connect., 2015)

Implication of the Slow-5 Oscillations in the Disruption of the Default-Mode Network in Healthy Aging and Stroke. - Christian La; Veena A. Nair; Pouria Mossahebi; Brittany M. Young; Marcus Chacon; Matthew Jensen; Rasmus M. Birn; Mary E. Meyerand; Vivek Prabhakaran (Brain Connect., 2016)

Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation. - Rosaleena Mohanty; Anita Sinha; Alexander Remsik; Janerra Allen; Veena A. Nair; Kristin Caldera; Justin Sattin; Dorothy Edwards; Justin C. Williams; Vivek Prabhakaran (HCI (14), 2017)

Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project. - Cole J. Cook; Gyujoon Hwang; Jedidiah Mathis; Veena A. Nair; Lisa L. Conant; Linda Allen; Dace N. Almane; Rasmus M. Birn; Edgar A. DeYoe; Elizabeth Felton; Courtney Forseth; Colin J. Humphries; et al. (Brain Connect., 2019)

Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. - Gyujoon Hwang; Veena A. Nair; Jed Mathis; Cole J. Cook; Rosaleena Mohanty; Gengyan Zhao; Neelima Tellapragada; Candida Ustine; Onyekachi O. Nwoke; Charlene Rivera-Bonet; Megan Rozman; Linda Allen; et al. (Brain Connect., 2019)

Identification of Subclinical Language Deficit Using Machine Learning Classification Based on Poststroke Functional Connectivity Derived from Low Frequency Oscillations. - Rosaleena Mohanty; Veena A. Nair; Neelima Tellapragada; Leroy M. Williams Jr.; Theresa J. Kang; Vivek Prabhakaran (Brain Connect., 2019)

Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy. - Mohsen Mazrooyisebdani; Veena A. Nair; Camille Garcia-Ramos; Rosaleena Mohanty; Mary Elizabeth Meyerand; Bruce P. Hermann; Vivek Prabhakaran; Raheel Ahmed (Brain Connect., 2020)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. - Anita Sinha; Ronak Mehta; Veena A. Nair; Rasmus M. Birn; Vikas Singh; Vivek Prabhakaran (ISBI, 2022)

Late dominance of the right hemisphere during narrative comprehension. - Vahab Youssofzadeh; Lisa L. Conant; Jeffrey N. Stout; Candida Ustine; Colin Humphries; William L. Gross; Priyanka Shah-Basak; Jed Mathis; Elizabeth Awe; Linda Allen; Edgar A. DeYoe; Chad Carlson; et al. (NeuroImage, 2022)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)

Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance. - Moo K. Chung; Camille Garcia-Ramos; Felipe Branco De Paiva; Jedidiah Mathis; Vivek Prabhakaran; Veena A. Nair; Mary E. Meyerand; Bruce P. Hermann; Jeffrey R. Binder; Aaron F. Struck (NeuroImage, 2023)

Segmenting Small Stroke Lesions with Novel Labeling Strategies. - Liang Shang; Zhengyang Lou; Andrew L. Alexander; Vivek Prabhakaran; William A. Sethares; Veena A. Nair; Nagesh Adluru (MLCN@MICCAI, 2024)

Stroke Lesion Segmentation Using Multi-Stage Cross-Scale Attention. - Liang Shang; William A. Sethares; Anusha Adluru; Andrew L. Alexander; Vivek Prabhakaran; Veena A. Nair; Nagesh Adluru (ISBI, 2025)