Year |
Citation |
Score |
2023 |
Rangaprakash D, Barry RL, Deshpande G. The confound of hemodynamic response function variability in human resting-state functional MRI studies. Frontiers in Neuroscience. 17: 934138. PMID 37521709 DOI: 10.3389/fnins.2023.934138 |
0.327 |
|
2023 |
Kumar S, Shovon AR, Deshpande G. The robustness of persistent homology of brain networks to data acquisition-related non-neural variability in resting state fMRI. Human Brain Mapping. PMID 37449464 DOI: 10.1002/hbm.26403 |
0.34 |
|
2021 |
Wang J, Xu Y, Deshpande G, Li K, Sun P, Liang P. The Effect of Light Sedation with Midazolam on Functional Connectivity of the Dorsal Attention Network. Brain Sciences. 11. PMID 34439725 DOI: 10.3390/brainsci11081107 |
0.37 |
|
2019 |
Deshpande G, Jia H. Multi-Level Clustering of Dynamic Directional Brain Network Patterns and Their Behavioral Relevance. Frontiers in Neuroscience. 13: 1448. PMID 32116487 DOI: 10.3389/fnins.2019.01448 |
0.417 |
|
2019 |
Rangaprakash D, Dretsch MN, Katz JS, Denney TS, Deshpande G. Dynamics of Segregation and Integration in Directional Brain Networks: Illustration in Soldiers With PTSD and Neurotrauma. Frontiers in Neuroscience. 13: 803. PMID 31507353 DOI: 10.3389/Fnins.2019.00803 |
0.347 |
|
2019 |
Syed MA, Yang Z, Rangaprakash D, Hu X, Dretsch MN, Katz JS, Denney TS, Deshpande G. DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders. Neuroinformatics. PMID 31187352 DOI: 10.1007/S12021-019-09422-1 |
0.453 |
|
2018 |
Yan W, Rangaprakash D, Deshpande G. Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects. Data in Brief. 19: 1305-1309. PMID 30225289 DOI: 10.1016/j.dib.2018.04.126 |
0.324 |
|
2018 |
Rao NP, Deshpande G, Gangadhar KB, Arasappa R, Varambally S, Venkatasubramanian G, Ganagadhar BN. Directional brain networks underlying OM chanting. Asian Journal of Psychiatry. 37: 20-25. PMID 30099280 DOI: 10.1016/j.ajp.2018.08.001 |
0.335 |
|
2018 |
Yan W, Rangaprakash D, Deshpande G. Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studies. Neuroimage. Clinical. 19: 320-330. PMID 30013915 DOI: 10.1016/j.nicl.2018.04.013 |
0.353 |
|
2018 |
Rangaprakash D, Wu GR, Marinazzo D, Hu X, Deshpande G. Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner. Data in Brief. 17: 1175-1179. PMID 29876476 DOI: 10.1016/J.Dib.2018.01.003 |
0.464 |
|
2018 |
Rangaprakash D, Wu GR, Marinazzo D, Hu X, Deshpande G. Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivity. Magnetic Resonance in Medicine. PMID 29656446 DOI: 10.1002/Mrm.27146 |
0.493 |
|
2017 |
Kyathanahally SP, Wang Y, Calhoun VD, Deshpande G. Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. Frontiers in Neuroinformatics. 11: 74. PMID 29311887 DOI: 10.3389/Fninf.2017.00074 |
0.314 |
|
2017 |
Rangaprakash D, Dretsch MN, Venkataraman A, Katz JS, Denney TS, Deshpande G. Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma. Human Brain Mapping. PMID 29058357 DOI: 10.1002/Hbm.23841 |
0.382 |
|
2017 |
Syed MA, Yang Z, Hu XP, Deshpande G. Investigating Brain Connectomic Alterations in Autism Using the Reproducibility of Independent Components Derived from Resting State Functional MRI Data. Frontiers in Neuroscience. 11: 459. PMID 28943835 DOI: 10.3389/Fnins.2017.00459 |
0.476 |
|
2017 |
Rangaprakash D, Dretsch MN, Yan W, Katz JS, Denney TS, Deshpande G. Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies. Neuroimage. Clinical. 16: 409-417. PMID 28879082 DOI: 10.1016/J.Nicl.2017.07.016 |
0.314 |
|
2017 |
Rangaprakash D, Dretsch MN, Yan W, Katz JS, Denney TS, Deshpande G. Hemodynamic response function parameters obtained from resting-state functional MRI data in soldiers with trauma. Data in Brief. 14: 558-562. PMID 28861454 DOI: 10.1016/J.Dib.2017.07.072 |
0.319 |
|
2017 |
Zhao S, Rangaprakash D, Venkataraman A, Liang P, Deshpande G. Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRI. Frontiers in Aging Neuroscience. 9: 211. PMID 28729831 DOI: 10.3389/Fnagi.2017.00211 |
0.456 |
|
2017 |
Deshpande G, Rangaprakash D, Oeding L, Cichocki A, Hu XP. A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition. Frontiers in Neuroscience. 11: 246. PMID 28638316 DOI: 10.3389/Fnins.2017.00246 |
0.466 |
|
2017 |
Jin C, Jia H, Lanka P, Rangaprakash D, Li L, Liu T, Hu X, Deshpande G. Dynamic brain connectivity is a better predictor of PTSD than static connectivity. Human Brain Mapping. PMID 28603919 DOI: 10.1002/Hbm.23676 |
0.482 |
|
2017 |
Sreenivasan KR, Zhuang X, Banks S, Mishra V, Yang Z, Deshpande G, Cordes D. Olfactory Network differences in Master Sommeliers: Connectivity Analysis Using Granger Causality and Graph-theoretical Approach. Brain Connectivity. PMID 28125912 DOI: 10.1089/brain.2016.0458 |
0.351 |
|
2017 |
Wang Y, David O, Hu X, Deshpande G. Can Patel's τ accurately estimate directionality of connections in brain networks from fMRI? Magnetic Resonance in Medicine. PMID 28090665 DOI: 10.1002/Mrm.26583 |
0.495 |
|
2016 |
Robinson JL, Baxi M, Katz JS, Waggoner P, Beyers R, Morrison E, Salibi N, Denney TS, Vodyanoy V, Deshpande G. Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging. Scientific Reports. 6: 36851. PMID 27886204 DOI: 10.1038/Srep36851 |
0.31 |
|
2016 |
Liang P, Deshpande G, Zhao S, Liu J, Hu X, Li K. Altered directional connectivity between emotion network and motor network in Parkinson's disease with depression. Medicine. 95: e4222. PMID 27472694 DOI: 10.1097/Md.0000000000004222 |
0.5 |
|
2016 |
Wang Y, Katwal S, Rogers B, Gore J, Deshpande G. Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-evoked Sub-100ms Timing Differences from fMRI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 27448367 DOI: 10.1109/Tnsre.2016.2593655 |
0.307 |
|
2016 |
Ho JL, Salibi N, Deshpande G. Functional connectivity of the left and right hippocampi: Evidence for functional lateralization along the long-axis using meta-analytic approaches and ultra-high field functional neuroimaging. Neuroimage. PMID 27132046 DOI: 10.1016/j.neuroimage.2016.04.022 |
0.307 |
|
2016 |
Bellucci G, Chernyak S, Hoffman M, Deshpande G, Dal Monte O, Knutson KM, Grafman J, Krueger F. Effective connectivity of brain regions underlying third-party punishment: functional MRI and Granger causality evidence. Social Neuroscience. PMID 26942651 DOI: 10.1080/17470919.2016.1153518 |
0.389 |
|
2016 |
Chattaraman V, Deshpande G, Kim H, Sreenivasan KR. Form 'defines' function: Neural connectivity between aesthetic perception and product purchase decisions in an fMRI study Journal of Consumer Behaviour. DOI: 10.1002/Cb.1575 |
0.309 |
|
2015 |
Libero LE, DeRamus TP, Lahti AC, Deshpande G, Kana RK. Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 66: 46-59. PMID 25797658 DOI: 10.1016/J.Cortex.2015.02.008 |
0.414 |
|
2015 |
Deshpande G, Wang P, Rangaprakash D, Wilamowski B. Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. Ieee Transactions On Cybernetics. 45: 2668-79. PMID 25576588 DOI: 10.1109/Tcyb.2014.2379621 |
0.357 |
|
2015 |
Kyathanahally SP, Jia H, Pustovyy OM, Waggoner P, Beyers R, Schumacher J, Barrett J, Morrison EE, Salibi N, Denney TS, Vodyanoy VJ, Deshpande G. Anterior-posterior dissociation of the default mode network in dogs. Brain Structure & Function. 220: 1063-76. PMID 24399180 DOI: 10.1007/S00429-013-0700-X |
0.301 |
|
2014 |
Jia H, Hu X, Deshpande G. Behavioral relevance of the dynamics of the functional brain connectome. Brain Connectivity. 4: 741-59. PMID 25163490 DOI: 10.1089/Brain.2014.0300 |
0.535 |
|
2014 |
Wheelock MD, Sreenivasan KR, Wood KH, Ver Hoef LW, Deshpande G, Knight DC. Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity. Neuroimage. 102: 904-12. PMID 25111474 DOI: 10.1016/J.Neuroimage.2014.08.005 |
0.325 |
|
2014 |
Lacey S, Stilla R, Sreenivasan K, Deshpande G, Sathian K. Spatial imagery in haptic shape perception. Neuropsychologia. 60: 144-58. PMID 25017050 DOI: 10.1016/J.Neuropsychologia.2014.05.008 |
0.462 |
|
2014 |
Liang P, Li Z, Deshpande G, Wang Z, Hu X, Li K. Altered causal connectivity of resting state brain networks in amnesic MCI. Plos One. 9: e88476. PMID 24613934 DOI: 10.1371/Journal.Pone.0088476 |
0.554 |
|
2014 |
Kapogiannis D, Deshpande G, Krueger F, Thornburg MP, Grafman JH. Brain networks shaping religious belief. Brain Connectivity. 4: 70-9. PMID 24279687 DOI: 10.1089/Brain.2013.0172 |
0.462 |
|
2013 |
Deshpande G, Libero LE, Sreenivasan KR, Deshpande HD, Kana RK. Identification of neural connectivity signatures of autism using machine learning. Frontiers in Human Neuroscience. 7: 670. PMID 24151458 DOI: 10.3389/Fnhum.2013.00670 |
0.431 |
|
2013 |
Rangaprakash D, Hu X, Deshpande G. Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data. International Journal of Neural Systems. 23: 1350003. PMID 23578054 DOI: 10.1142/S0129065713500032 |
0.51 |
|
2013 |
Sathian K, Deshpande G, Stilla R. Neural changes with tactile learning reflect decision-level reweighting of perceptual readout. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 5387-98. PMID 23516304 DOI: 10.1523/Jneurosci.3482-12.2013 |
0.382 |
|
2013 |
Lacey S, Lacey S, Stilla R, Lacey S, Stilla R, Sreenivasan K, Lacey S, Stilla R, Sreenivasan K, Deshpande G, Lacey S, Stilla R, Sreenivasan K, Deshpande G, Sathian K. Spatial imagery is more associated with unfamiliar than familiar haptic shape perception: Activation and connectivity analyses Multisensory Research. 26: 162-163. DOI: 10.1163/22134808-000S0120 |
0.323 |
|
2012 |
Deshpande G, Hu X. Investigating effective brain connectivity from fMRI data: past findings and current issues with reference to Granger causality analysis. Brain Connectivity. 2: 235-45. PMID 23016794 DOI: 10.1089/Brain.2012.0091 |
0.534 |
|
2012 |
Deshpande G, Sathian K, Hu X, Buckhalt JA. A rigorous approach for testing the constructionist hypotheses of brain function. The Behavioral and Brain Sciences. 35: 148-9. PMID 22617657 DOI: 10.1017/S0140525X1100149X |
0.438 |
|
2011 |
Sathian K, Lacey S, Stilla R, Gibson GO, Deshpande G, Hu X, Laconte S, Glielmi C. Dual pathways for haptic and visual perception of spatial and texture information. Neuroimage. 57: 462-75. PMID 21575727 DOI: 10.1016/J.Neuroimage.2011.05.001 |
0.722 |
|
2011 |
Preusse F, van der Meer Elke, Deshpande G, Krueger F, Wartenburger I. Fluid intelligence allows flexible recruitment of the parieto-frontal network in analogical reasoning. Frontiers in Human Neuroscience. 5: 22. PMID 21415916 DOI: 10.3389/Fnhum.2011.00022 |
0.427 |
|
2011 |
Lacey S, Hagtvedt H, Patrick VM, Anderson A, Stilla R, Deshpande G, Hu X, Sato JR, Reddy S, Sathian K. Art for reward's sake: visual art recruits the ventral striatum. Neuroimage. 55: 420-33. PMID 21111833 DOI: 10.1016/J.Neuroimage.2010.11.027 |
0.484 |
|
2011 |
Hampstead BM, Stringer AY, Stilla RF, Deshpande G, Hu X, Moore AB, Sathian K. Activation and effective connectivity changes following explicit-memory training for face-name pairs in patients with mild cognitive impairment: a pilot study. Neurorehabilitation and Neural Repair. 25: 210-22. PMID 20935339 DOI: 10.1177/1545968310382424 |
0.487 |
|
2011 |
Strenziok M, Krueger F, Deshpande G, Lenroot RK, van der Meer E, Grafman J. Fronto-parietal regulation of media violence exposure in adolescents: a multi-method study. Social Cognitive and Affective Neuroscience. 6: 537-47. PMID 20934985 DOI: 10.1093/Scan/Nsq079 |
0.371 |
|
2011 |
Deshpande G, Santhanam P, Hu X. Instantaneous and causal connectivity in resting state brain networks derived from functional MRI data. Neuroimage. 54: 1043-52. PMID 20850549 DOI: 10.1016/J.Neuroimage.2010.09.024 |
0.699 |
|
2011 |
Krueger F, Landgraf S, van der Meer E, Deshpande G, Hu X. Effective connectivity of the multiplication network: a functional MRI and multivariate Granger Causality Mapping study. Human Brain Mapping. 32: 1419-31. PMID 20715080 DOI: 10.1002/Hbm.21119 |
0.538 |
|
2011 |
Deshpande G, Kerssens C, Huo X, Hu X. Simultaneous investigation of local and distributed functional brain connectivity from fMRI data 2011 5th International Ieee/Embs Conference On Neural Engineering, Ner 2011. 57-63. DOI: 10.1109/NER.2011.5910488 |
0.453 |
|
2011 |
Deshpande G, Hu X. Fatigue-induced changes in brain nonlinearity inferred by nonparametric and differential equation models of fMRI Proceedings of the Ieee International Conference On Industrial Technology. 336-341. DOI: 10.1109/ICIT.2011.5754398 |
0.368 |
|
2010 |
Deshpande G, Li Z, Santhanam P, Coles CD, Lynch ME, Hamann S, Hu X. Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity. Plos One. 5: e14277. PMID 21151556 DOI: 10.1371/Journal.Pone.0014277 |
0.675 |
|
2010 |
Deshpande G, Sathian K, Hu X. Assessing and compensating for zero-lag correlation effects in time-lagged Granger causality analysis of FMRI. Ieee Transactions On Bio-Medical Engineering. 57: 1446-56. PMID 20659822 DOI: 10.1109/Tbme.2009.2037808 |
0.563 |
|
2010 |
Deshpande G, Kerssens C, Sebel PS, Hu X. Altered local coherence in the default mode network due to sevoflurane anesthesia. Brain Research. 1318: 110-21. PMID 20059988 DOI: 10.1016/J.Brainres.2009.12.075 |
0.568 |
|
2010 |
Deshpande G, Sathian K, Hu X. Effect of hemodynamic variability on Granger causality analysis of fMRI. Neuroimage. 52: 884-96. PMID 20004248 DOI: 10.1016/J.Neuroimage.2009.11.060 |
0.467 |
|
2010 |
Deshpande G, Hu X, Lacey S, Stilla R, Sathian K. Object familiarity modulates effective connectivity during haptic shape perception. Neuroimage. 49: 1991-2000. PMID 19732841 DOI: 10.1016/J.Neuroimage.2009.08.052 |
0.521 |
|
2009 |
Deshpande G, LaConte S, James GA, Peltier S, Hu X. Multivariate Granger causality analysis of fMRI data. Human Brain Mapping. 30: 1361-73. PMID 18537116 DOI: 10.1002/Hbm.20606 |
0.701 |
|
2009 |
Deshpande G, LaConte S, Peltier S, Hu X. Integrated local correlation: a new measure of local coherence in fMRI data. Human Brain Mapping. 30: 13-23. PMID 17979117 DOI: 10.1002/Hbm.20482 |
0.693 |
|
2009 |
Deshpande G, Sathian K, Hu X. Compensating for Zero-lag Correlation Effects in Time-lagged Granger Causality Analysis Neuroimage. 47: S147. DOI: 10.1016/S1053-8119(09)71501-0 |
0.323 |
|
2008 |
Stilla R, Hanna R, Hu X, Mariola E, Deshpande G, Sathian K. Neural processing underlying tactile microspatial discrimination in the blind: a functional magnetic resonance imaging study. Journal of Vision. 8: 13.1-19. PMID 19146355 DOI: 10.1167/8.10.13 |
0.57 |
|
2008 |
Deshpande G, Hu X, Stilla R, Sathian K. Effective connectivity during haptic perception: a study using Granger causality analysis of functional magnetic resonance imaging data. Neuroimage. 40: 1807-14. PMID 18329290 DOI: 10.1016/J.Neuroimage.2008.01.044 |
0.581 |
|
2007 |
Stilla R, Deshpande G, LaConte S, Hu X, Sathian K. Posteromedial parietal cortical activity and inputs predict tactile spatial acuity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 11091-102. PMID 17928451 DOI: 10.1523/Jneurosci.1808-07.2007 |
0.686 |
|
2006 |
Deshpande G, LaConte S, Peltier S, Hu X. Directed transfer function analysis of fMRI data to investigate network dynamics. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 671-4. PMID 17946850 DOI: 10.1109/IEMBS.2006.259969 |
0.677 |
|
2006 |
Deshpande G, Laconte S, Peltier S, Hu X. Tissue specificity of nonlinear dynamics in baseline fMRI. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 55: 626-32. PMID 16470596 DOI: 10.1002/Mrm.20817 |
0.656 |
|
2006 |
Deshpande G, Laconte S, Peltier S, Hu X. Connectivity analysis of human functional MRI data: From linear to nonlinear and static to dynamic Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4091: 17-24. |
0.601 |
|
2005 |
Deshpande G, LaConte S, Peltier S, Hu X. Spatial embedding of fMRI for investigating local coupling in human brain Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5746: 119-125. DOI: 10.1117/12.595262 |
0.607 |
|
2004 |
LaConte S, Peltier S, Kadah Y, Ngan SC, Deshpande G, Hu X. Detecting nonlinear dynamics of functional connectivity Proceedings of Spie - the International Society For Optical Engineering. 5369: 227-237. DOI: 10.1117/12.535804 |
0.577 |
|
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