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Data in Brief|October 23, 2018
Resting state fMRI data from subjects scanned with the EPI-PACE (Echoplanar Imaging - Prospective Acquisition CorrEction) sequencePradyumna Lanka, Gopikrishna DeshpandeBrain and Behavior|July 13, 2019
Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI dataPradyumna Lanka, Gopikrishna DeshpandeNeurophotonics|August 22, 2022
Correction of global physiology in resting-state functional near-infrared spectroscopyPradyumna Lanka, Heather Bortfeld, Theodore J HuppertScientific Reports|May 2, 2023
Multiple levels of contextual influence on action-based timing behavior and cortical activationAli Rahimpour Jounghani, Pradyumna Lanka, Luca Pollonini, et al.Schizophrenia Research|February 6, 2018
Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject levelLena Palaniyappan, Gopikrishna Deshpande, Pradyumna Lanka, et al.Brain Imaging and Behavior|November 7, 2019
Supervised machine learning for diagnostic classification from large-scale neuroimaging datasetsPradyumna Lanka, D Rangaprakash, Michael N Dretsch, et al.Human Brain Mapping|June 13, 2017
Dynamic brain connectivity is a better predictor of PTSD than static connectivityChangfeng Jin, Hao Jia, Pradyumna Lanka, et al.Data in Brief|February 25, 2020
MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI dataPradyumna Lanka, D Rangaprakash, Sai Sheshan Roy Gotoor, et al.Pageof 1