| Fully connected cascade artificial neural network architecture for attention deficit hyperactivity disorder classification from functional magnetic resonance imaging data G Deshpande, P Wang, D Rangaprakash, B Wilamowski IEEE transactions on cybernetics 45 (12), 2668-2679, 2015 | 166 | 2015 |
| Dynamic brain connectivity is a better predictor of PTSD than static connectivity C Jin, H Jia, P Lanka, D Rangaprakash, L Li, T Liu, X Hu, G Deshpande Human Brain Mapping 38 (9), 4479-4496, 2017 | 114 | 2017 |
| Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity D Rangaprakash, GR Wu, D Marinazzo, X Hu, G Deshpande Magnetic resonance in medicine 80 (4), 1697-1713, 2018 | 113 | 2018 |
| Compromised hippocampus‐striatum pathway as a potential imaging biomarker of mild‐traumatic brain injury and posttraumatic stress disorder D Rangaprakash, G Deshpande, TA Daniel, AM Goodman, JL Robinson, ... Human brain mapping 38 (6), 2843-2864, 2017 | 92 | 2017 |
| Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets P Lanka, D Rangaprakash, MN Dretsch, JS Katz, TS Denney, ... Brain imaging and behavior 14, 2378-2416, 2020 | 72 | 2020 |
| Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset M Ingalhalikar, S Shinde, A Karmarkar, A Rajan, D Rangaprakash, ... IEEE Transactions on Biomedical Engineering 68 (12), 3628-3637, 2021 | 57 | 2021 |
| Study of wrist pulse signals using time domain spatial features D Rangaprakash, DN Dutt Computers & Electrical Engineering 45, 100-107, 2015 | 56 | 2015 |
| Study of phase synchronization in multichannel seizure EEG using nonlinear recurrence measure D Rangaprakash, N Pradhan Biomedical Signal Processing and Control 11, 114-122, 2014 | 55 | 2014 |
| Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level L Palaniyappan, G Deshpande, P Lanka, D Rangaprakash, S Iwabuchi, ... Schizophrenia research 214, 24-33, 2019 | 54 | 2019 |
| Identifying disease foci from static and dynamic effective connectivity networks: illustration in soldiers with trauma D Rangaprakash, MN Dretsch, A Venkataraman, JS Katz, TS Denney Jr, ... Human brain mapping 39 (1), 264-287, 2018 | 51 | 2018 |
| Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studies W Yan, D Rangaprakash, G Deshpande NeuroImage: Clinical 19, 320-330, 2018 | 49 | 2018 |
| Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data D Rangaprakash, X Hu, G Deshpande International journal of neural systems 23 (02), 1350003, 2013 | 49 | 2013 |
| Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney Jr, ... NeuroImage: Clinical 16, 409-417, 2017 | 45 | 2017 |
| FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response D Rangaprakash, R Tadayonnejad, G Deshpande, J O’Neill, JD Feusner Brain Imaging and Behavior 15 (3), 1622-1640, 2021 | 37 | 2021 |
| Psychosocial stress reactivity is associated with decreased whole-brain network efficiency and increased amygdala centrality. MD Wheelock, D Rangaprakash, NG Harnett, KH Wood, TR Orem, S Mrug, ... Behavioral Neuroscience 132 (6), 561, 2018 | 35 | 2018 |
| Dynamics of segregation and integration in directional brain networks: illustration in soldiers with PTSD and neurotrauma D Rangaprakash, MN Dretsch, JS Katz, TS Denney Jr, G Deshpande Frontiers in neuroscience 13, 803, 2019 | 30 | 2019 |
| Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique D Rangaprakash Computers in Biology and Medicine 46, 11-21, 2014 | 30 | 2014 |
| A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition G Deshpande, D Rangaprakash, L Oeding, A Cichocki, XP Hu Frontiers in neuroscience 11, 246, 2017 | 28 | 2017 |
| Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRI S Zhao, D Rangaprakash, A Venkataraman, P Liang, G Deshpande Frontiers in aging neuroscience 9, 211, 2017 | 25 | 2017 |
| Hemodynamic response function parameters obtained from resting-state functional MRI data in soldiers with trauma D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney Jr, ... Data in brief 14, 558-562, 2017 | 23 | 2017 |
Jeffrey S KatzAuburn UniversityVerified email at auburn.edu
