Publications

The complete record

145 peer-reviewed journal articles, 2 books / book chapters, 100 conference proceedings, and one patent — spanning two decades of work in functional MRI, brain connectivity, and machine learning in neuroimaging. Search or filter by period below. Up-to-date metrics are on Google Scholar.

245 entries shown

Peer-reviewed journal publications 143 entries

  1. in press

    The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014 – 2024)

    J Chaki, G Deshpande

    Neuroinformatics, in press

  2. in press

    Formation of new attachment bonds by adult labrador retreivers purpose-bred and trained for olfactory detection

    E Cox, L Lazarowski, JG Smith, K Mitchell, G Deshpande, F Krueger, S Katz

    Applied Animal Behavior Science, in press

  3. in press

    Transfer learning for improving neuroimaging-based diagnostic classification

    G Deshpande, B Lu, PN Huynh, D Rangaprakash

    IEEE Transactions on Computational Biology and Bioinformatics, in press

  4. in press

    Social bonding between humans, animals and robots: Dogs outperform their robotic replicas as social companions

    S Klumpe, C Mitchell, E Cox, JS Katz, L Lazarowski, G Deshpande, J Gratch, E de Visser, H Ayaz, X Li, AA Franke, F Krueger

    Plos One, in press

  5. 2026

    Neural insights into observational drawing: A longitudinal resting state functional connectivity study using 7T MRI

    A Safai, JS Katz, B Bondy, G Deshpande

    Brain and Cognition · vol. 192, pp. 106376

  6. 2025

    Effects of Seasonal Factors on Brain Function - A Systematic Review and Future Perspectives

    J Majumdar, D Rangaprakash, G Deshpande

    iScience · vol. 28(12), pp. 114066

  7. 2025

    Non-invasive Electrophysiological Characterization of Distinctive Meditative States in a Yogi during Samaadhi

    DN Dutt, GRG Rao, CR Ramaswamy, D Rangaprakash, G Deshpande

    International Journal of Yoga · vol. 18 (3), pp. 321-341

  8. 2025

    Topology-assisted clustering of temporal fMRI brain networks with use-case in mitigating non-neural multi-site variability

    AR Shovon, S Kumar, G Deshpande

    IEEE Access · vol. 13, pp. 172259-172278

  9. 2025

    VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

    G Deshpande, B Lu, PN Huynh, D Rangaprakash

    Frontiers in Neuroinformatics · vol. 19, pp. 1553035

  10. 2025

    Beyond the human touch: A critical review of the promise and challenges of animal- and robot-assisted therapy in loneliness and mental healthcare

    L Bertin, JS Katz, G Deshpande, F Krueger

    Asian Journal of Psychiatry · vol. 110, pp. 104615

  11. 2025

    Scale-Free Dynamics of Resting-State fMRI Microstates

    N Erbil, G Deshpande

    Fractal and Fractional · vol. 9(2), pp. 112

  12. 2024

    A reliable clinical decision support system for posttraumatic stress disorder using functional magnetic resonance imaging data

    J Bhattacharya, A Gupta, MN Dretsch, TS Denney, G Deshpande

    IEEE Transactions on Artificial Intelligence · vol. 5(11), pp. 5605-5615

  13. 2024

    A Multi-Model Framework to Explore ADHD Diagnosis from Neuroimaging Data

    YY Ozdemir, NCP Nukala, R Molinari, G Deshpande

    Journal of Data Science · vol. 22(2), pp. 191–207

  14. 2024

    Characteristics of patients with myofascial pain syndrome of the low back

    PF Tsai, JL Edison, CH Wang, MW Gramlich, KQ Manning, G Deshpande, A Bashir, J Sefton

    Nature Scientific Reports · vol. 14(1), pp. 11912

  15. 2024

    The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-based Diagnostic Classification

    PN Huynh, D Yan, Y Ma, S Wu, C Long, MT Sami, AA Ibrahim, Z Jiang, H Chen, MN Dretsch, TS Denney, D Rangaprakash, G Deshpande

    Brain Sciences · vol. 14(5), pp. 456

  16. 2024

    Interpretable deep learning for neuroimaging-based diagnostic classification

    G Deshpande, J Masood, PN Huynh, TS Denney, MN Dretsch

    IEEE Access · vol. 12, pp. 55474-55490

  17. 2024

    Two separate brain networks for predicting trainability and tracking training-related plasticity in working dogs

    G Deshpande, S Zhao, P Waggoner, R Beyers, E Morrison, PN Huynh, V Vodyanoy, TS Denney, JS Katz

    Animals · vol. 14(7), pp. 1082

  18. 2024

    A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disorders

    PN Huynh, G Deshpande

    Frontiers in Neuroscience · vol. 18, pp. 1333712

  19. 2024

    Brain disorder detection and diagnosis using machine learning and deep learning - A bibliometric analysis

    J Chaki, G Deshpande

    Current Neuropharmacology · vol. 22(13), pp. 2191-2216

  20. 2024

    Scale-Free Dynamics of Resting-State fMRI Microstates

    N Erbil, G Deshpande

    Fractal and Fractional

  21. 2023

    The Robustness of Persistent Homology of Brain Networks to Data Acquisition-related Non-neural Variability in Resting state fMRI

    S Kumar, AR Shovon, G Deshpande

    Human Brain Mapping · vol. 44(13), pp. 4637-4651

  22. 2023

    The confound of hemodynamic response function variability in human resting-state functional MRI studies

    D Rangaprakash, RL Barry, G Deshpande

    Frontiers in Neuroscience · vol. 17, pp. 934138

  23. 2022

    Extra-Virgin Olive Oil Enhances the Blood–Brain Barrier Function in Mild Cognitive Impairment: A Randomized Controlled Trial

    A Kaddoumi, TS Denney, G Deshpande, JL Robinson, RJ Beyers, DT Redden, D Praticò, TC Kyriakides, B Lu, AN Kirby, DT Beck, ND Merner

    Nutrients · vol. 14(23), pp. 5102

  24. 2022

    Noninvasive characterization of functional pathways in layer-specific microcircuits of the human brain using 7T fMRI

    G Deshpande, Y Wang

    Brain Sciences · vol. 12(10), pp. 1361

  25. 2022

    Laminar functional magnetic resonance imaging in vision research

    P Demirayak, G Deshpande, K Visscher

    Frontiers in Neuroscience · vol. 16, pp. 910443

  26. 2022

    Functional Parcellation of the Hippocampus based on its Layer-specific Connectivity with Default Mode and Dorsal Attention Networks

    G Deshpande, X Zhao, JL Robinson

    NeuroImage · vol. 254, pp. 119078

  27. 2022

    Editorial: It Is a Matter of Matters: Deciphering Structural and Functional Brain Connectivity

    G Deshpande, V Alluri, A Sharma, M Ingalhalikar

    Frontiers in Neuroscience · vol. 16, pp. 951001

  28. 2022

    Effect of intranasal Oxytocin on resting-state effective connectivity in schizophrenia

    V Korran, A Jacob, B Lu, P Devi, U Thonse, B Nagendra, DM Chacko, A Dey, A Padmanabha, V Shivakumar, RD Bharath, V Kumar, S Varambally, G Venkatasubramanian, G Deshpande, NP Rao

    Schizophrenia Bulletin · vol. 48(5), pp. 1115-1124

  29. 2022

    Resting State fMRI Connectivity is Sensitive to Laminar Connectional Architecture in the Human Brain

    G Deshpande, Y Wang, JL Robinson

    Brain Informatics · vol. 9(1), pp. 2

  30. 2022

    Stress-induced changes in effective connectivity during regulation of the emotional response to threat

    AM Goodman, MD Wheelock, NG Harnett, ES Davis, S Mrug, G Deshpande, DC Knight

    Brain Connectivity · vol. 12(7), pp. 629-638

  31. 2022

    Characterizations of hemodynamic alterations in Schizophrenia and Bipolar disorder and their effect on resting-state fMRI functional connectivity

    W Yan, L Palaniyappan, PF Liddle, D Rangaprakash, W Wei, G Deshpande

    Schizophrenia Bulletin · vol. 48(3), pp. 695-711

  32. 2021

    Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset

    M Ingalhalikar, S Shinde, A Karmarkar, A Rajan, D Rangaprakash, G Deshpande

    IEEE Transactions on Biomedical Engineering · vol. 68(12), pp. 3628-3637

  33. 2021

    Neurofunctional segmentation shifts in the hippocampus

    JL Robinson, X Zhou, RT Bird, MJ Leavitt, SJ Nichols, SK Blaine, G Deshpande

    Frontiers in Human Neuroscience · vol. 15, pp. 729836

  34. 2021

    Maternal vitamin B12, folate during pregnancy and neurocognitive outcomes in young adults of the Pune Maternal Nutrition Study (PMNS) prospective birth cohort: Study protocol

    RV Behere, G Deshpande, S Bandyopadhyay, CS Yajnik

    British Medical Journal (BMJ) Open · vol. 11(9), pp. e046242

  35. 2021

    The Effect of Light Sedation with Midazolam on Functional Connectivity of the Dorsal Attention Network

    J Wang, Y Xu, G Deshpande, K Li, P Sun, PP Liang

    Brain Sciences · vol. 11(8), pp. 1107

  36. 2021

    Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment

    Q Yang, G Bellucci, M Hoffman, KT Hsu, S Lis, B Lu, G Deshpande, F Krueger

    Cognitive Affective and Behavioral Neuroscience · vol. 21(6), pp. 1222-1232

  37. 2021

    Human-Dog Relationships as a Working Framework for Exploring Human-Robot Attachment: A Multidisciplinary Review

    F Krueger, KC Mitchell, G Deshpande, JS Katz

    Animal Cognition · vol. 24, pp. 371–385

  38. 2021

    Dog-Human Social Relationship: Representation of Human Face Familiarity and Emotions in the Dog Brain

    AM Thompkins, L Lazarowski, B Ramaiahgari, SSR Gotoor, P Waggoner, TS Denney, G Deshpande, JS Katz

    Animal Cognition · vol. 24(2), pp. 251-266

  39. 2021

    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 Tadoyannejad, G Deshpande, J O'Neill, JD Feusner

    Brain Imaging and Behavior · vol. 15(3), pp.1622-1640

  40. 2020

    Density Based Clustering of Static and Dynamic Functional MRI Connectivity Features Obtained from Subjects with Cognitive Impairment

    D Rangaprakash, T Odemuyiwa, DN Dutt, G Deshpande

    Brain Informatics · vol.7, pp. 19

  41. 2020

    A Neurobehavioral Study on the Efficacy of Price Interventions in Promoting Healthy Food Choices among Low Socioeconomic Families

    T Banerjee, V Chattaraman, H Zou, G Deshpande

    Nature Scientific Reports · vol. 10, pp. 15435

  42. 2020

    Diagnostic Prediction of Autism Spectrum Disorder Using Complex Network Measures in a Machine Learning Framework

    N Chaitra, PA Vijaya, G Deshpande

    Biomedical Signal Processing and Control · vol. 62, pp. 102099

  43. 2020

    Research trends in the application of Yoga to human health: A data science approach

    G Chaitra, D Rangaprakash, G Deshpande

    International Journal of Public Mental Health and Neurosciences · vol. 7(1), pp. 8-13

  44. 2020

    MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI data

    P Lanka, D Rangaprakash, SSR Gotoor, MN Dretsch, JS Katz, TS Denney, G Deshpande

    Data in Brief · vol. 29, pp.105213

  45. 2020

    Comparing pet and detection dogs (Canis familiaris) on two aspects of social cognition

    L Lazarowski, AM Thompkins, S Krichbaum, P Waggoner, G Deshpande, JS Katz

    Learning & Behavior · vol. 48(4), pp. 432-443

  46. 2020

    Structural Covariance Network Disruptions in Military Personnel with Mild Traumatic Brain Injury and Post-Traumatic Stress Disorder

    F Proessl, MN Dretsch, C Connaboy, M Lovalekar, C Dunn-Lewis, MC Canino, AJ Sterczala, G Deshpande, JS Katz, TS Denney, SD Flanagan

    Journal of Neurotrauma · vol. 39(19), pp. 2102-2112

  47. 2020

    Multi-level Clustering of Dynamic Directional Brain Network Patterns and their Behavioral Relevance

    G Deshpande and H Jia

    Frontiers in Neuroscience · vol. 13, pp. 1448

  48. 2020

    DisConICA: A Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders

    MA Syed, Z Yang, D Rangaprakash, X Hu, MN Dretsch, J Katz, TS Denney, G Deshpande

    Neuroinformatics · vol. 18(1), pp. 87-107

  49. 2020

    Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets

    P Lanka, D Rangaprakash, MN Dretsch, JS Katz, TS Denney, G Deshpande

    Brain Imaging and Behavior · vol. 14(6), pp. 2378-2416

  50. 2019

    Deterioration from Healthy to Mild Cognitive Impairment and Alzheimer’s Disease Mirrored in Corresponding Loss of Centrality in Directed Brain Networks

    S Zhao, D Rangaprakash, P Liang, G Deshpande

    Brain Informatics · vol. 6(1), pp. 8

  51. 2019

    Dynamics of Segregation and Integration in Directional Brain Networks: Illustration in Soldiers With PTSD and Neurotrauma

    D Rangaprakash, MN Dretsch, JS katz, TS Denney, G Deshpande

    Frontiers in Neuroscience · vol. 13, pp. 803, 2019. doi: 10.3389/fnins

  52. 2019

    Training dogs for awake, unrestrained functional magnetic resonance imaging

    L Strassberg, P Waggoner, G Deshpande, J Katz

    Journal of Visualized Experiments · vol. 152, pp. e60192

  53. 2019

    Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI data

    P Lanka, G Deshpande

    Brain and Behavior · vol. 9(8), pp. e01341

  54. 2019

    Neural underpinnings of financial decision bias in older adults: Putative theoretical models and a way to reconcile them

    M McCormick, VF Reyna, K Ball, JS Katz, G Deshpande

    Frontiers in Neuroscience · vol. 13, pp. 184, 2019. doi: 10.3389/fnins

  55. 2019

    Strength and Temporal Variance of the Default Mode Network to Investigate Chronic Mild Traumatic Brain Injury in Service Members with Psychological Trauma

    MN Dretsch, D Rangaprakash, JS Katz, TA Daniel, AM Goodman, TS Denney, G Deshpande

    Journal of Experimental Neuroscience · vol. 13, pp. 1–14

  56. 2019

    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, S Francis, PF Liddle

    Schizophrenia Research (special issue on applications of machine learning) · vol. 214, pp. 24-33

  57. 2019

    Differential neural activation when voluntarily regulating emotions in service members with chronic mild traumatic brain injury

    MN Dretsch, TA Daniel, AM Goodman, JS Katz, TS Denney, G Deshpande, JL Robinson

    Applied Neuropsychology · vol. 26(1), pp. 76-88

  58. 2019

    Corporate sponsorship in college football: An fMRI study measuring the effectiveness of corporate branding across rival teams

    D Martin, KM Townsend, Y Wang, G Deshpande

    Sports Marketing Quarterly · vol. 28, pp. 209-221

  59. 2019

    The neural signatures of egocentric bias in normative decision making

    C Feng, X Feng, L Wang, R Gu, A Ni, G Deshpande, Z Li, Y-J Luo

    Brain Imaging and Behavior · vol. 13(3), pp. 685-698

  60. 2018

    Functional connectivity of specific resting state networks predicts trust and reciprocity in the trust game

    G Bellucci, T Hahn, G Deshpande, F Krueger

    Cognitive Affective and Behavioral Neuroscience · vol. 132(6), pp. 561-572

  61. 2018

    Separate brain areas for processing human and dog faces as revealed by awake fMRI in dogs (Canis familiaris)

    AM Thompkins, B Ramaihgari, S Zhao, SSR Gotoor, P Waggoner, TS Denney, G Deshpande, JS Katz

    Learning and Behavior (Special Issue on Canine Cognition) · vol. 46(4), pp. 561-573

  62. 2018

    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, DA Granger, G Deshpande, DC Knight

    Behavioral Neuroscience

  63. 2018

    Directional brain networks underlying OM chanting

    NP Rao, G Deshpande, KB Gangadhar, R Arasappa, S Varambally, G Venkatasubramanian, BN Gangadhar

    Asian Journal of Psychiatry · vol. 37, pp. 20-25

  64. 2018

    North American football fans show neurofunctional differences in response to violence: Implications for public health and policy

    TA Daniel, K Townsend, Y Wang, D Martin, JS Katz, G Deshpande

    Frontiers in Public Health · vol.6, pp. 127

  65. 2018

    Probabilistic methods in computational neuroscience

    J Zhang, T Liu, G Deshpande

    IEEE/ACM Transactions on Computational Biology and Bioinformatics · vol. 15(2), pp. 535

  66. 2018

    Aberrant hemodynamic responses in Autism: Implications for resting state fMRI functional connectivity studies

    W Yan, D Rangaprakash, G Deshpande

    NeuroImage: Clinical · vol. 19, pp. 320-330

  67. 2018

    Identifying neuropsychiatric disorders using unsupervised clustering methods: data and code

    X Zhao, D Rangaprakash, TS Denney, JS Katz, MN Dretsch, G Deshpande

    Data in Brief · vol. 22, pp. 570-573

  68. 2018

    Hemodynamic response function (HRF) variability confounds resting state fMRI connectivity

    D Rangaprakash, G-R Wu, D Marinazzo, X Hu, G Deshpande

    Magnetic Resonance in Medicine · vol. 80(4), pp. 1697-1713

  69. 2018

    Resting state fMRI data from subjects scanned with EPI-PACE (Echoplanar Imaging - Prospective Acquisition CorrEction) sequence

    P Lanka, G Deshpande

    Data in Brief · vol. 20, pp. 2072-2075

  70. 2018

    Zinc nanoparticles enhance brain connectivity in the canine olfactory network: Evidence from an fMRI study in unrestrained awake dogs

    B Ramaihgari, OM Pustovyy, P Waggoner, RJ Beyers, C Wildey, E Morrison, N Salibi, JS Katz, TS Denney, VJ Vodyanoy, G Deshpande

    Frontiers in Veterinary Science · vol. 5, pp. 127

  71. 2018

    Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner

    D Rangaprakash, G-R Wu, D Marinazzo, X Hu, G Deshpande

    Data in Brief · vol. 17, pp. 1175-1179

  72. 2018

    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, G Deshpande

    Human Brain Mapping · vol. 39(1), pp. 264-287

  73. 2018

    Investigating the correspondence of clinical diagnostic grouping with underlying neurobiological and phenotypic clusters using unsupervised machine learning

    X Zhao, D Rangaprakash, B Yuan, TS Denney, JS Katz, MN Dretsch, G Deshpande

    Frontiers in Applied Mathematics and Statistics · vol. 4, pp. 25, 2018 (doi: 10.3389/fams

  74. 2017

    Hemodynamic response function parameters obtained from resting state BOLD fMRI data in subjects with Autism Spectrum Disorder and matched healthy controls

    W Yan, D Rangaprakash, G Deshpande

    Data in Brief · vol. 14, pp. 558-562

  75. 2017

    Investigation of true high-frequency electrical substrates of fMRI-based resting state networks using parallel independent component analysis of simultaneous EEG/fMRI data

    SP Kyathanahally, Y Wang, V Calhoun, G Deshpande

    Frontiers in Neuroinformatics · vol. 11, pp. 74

  76. 2017

    Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies

    D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney, G Deshpande

    NeuroImage: Clinical · vol. 16, pp. 409-417

  77. 2017

    Examining microstructural white matter in active duty Soldiers with a history of mild traumatic brain injury and traumatic stress

    MN Dretsch, RT Lange, JS Katz, A Goodman, TA Daniel, G Deshpande, TS Denney, GL Iverson, JL Robinson

    The Open Neuroimaging Journal · vol. 11, pp. 46-57

  78. 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, G Deshpande

    Data in Brief · vol. 14, pp. 558-562

  79. 2017

    Neural Correlates of Consumer Buying Motivations: A 7T functional Magnetic Resonance Imaging (fMRI) Study

    AM Goodman, Y Wang, W Kwon, S Byun, JS Katz, G Deshpande

    Frontiers in Neuroscience · vol. 11, pp. 512

  80. 2017

    Artificial Intelligence applications to Military Medicine

    G Deshpande, P Lanka, S Youngblood

    Artificial Intelligence and Machine Learning for Defense Applications · pp. 59-70

  81. 2017

    Investigating Brain Connectomic Alterations in Autism using the Reproducibility of Independent Components derived from Resting State functional MRI Data

    M Syed, Z Yang, X Hu, G Deshpande

    Frontiers in Neuroscience · vol. 11, pp. 459

  82. 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 · vol. 9, pp. 211

  83. 2017

    An fMRI and effective connectivity study investigating miss errors during advice utilization from human and machine agents

    K Goodyear, R Parasuraman, S Chernyak, E de Visser, P Madhavan, G Deshpande, F Krueger

    Social Neuroscience · vol. 12(5), pp. 570-581

  84. 2017

    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 · vol. 38(9), pp. 4479-4496

  85. 2017

    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, X Hu

    Frontiers in Neuroscience · vol.11, pp. 246

  86. 2017

    Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild traumatic brain injury and post-traumatic stress disorder

    D Rangaprakash, G Deshpande, TA Daniel, AM Goodman, JL Robinson, N Salibi, JS Katz, TS Denney, MN Dretsch

    Human Brain Mapping · vol. 38(6), pp. 2843-2864

  87. 2017

    Olfactory network differences in master sommeliers: Connectivity analysis using Granger causality and graph-theoretic approach

    K Sreenivasan, X Zhuang, SJ Banks, V Mishra, Z Yang, G Deshpande, D Cordes

    Brain Connectivity · vol. 7(2), pp. 123-136

  88. 2017

    Experimental validation of dynamic Granger causality for inferring stimulus-evoked sub-100 ms timing differences from fMRI

    Y Wang, S Katwal, B Rogers, J Gore, G Deshpande

    IEEE Transactions on Neural Systems and Rehabilitation Engineering · vol. 25(6), pp. 539-546

  89. 2017

    Effective connectivity of brain regions underlying third party punishment: functional MRI and Granger causality evidence

    G Bellucci, S Chernyak, M Hoffman, G Deshpande, OD Monte, KM Knutson, J Grafman, F Krueger

    Social Neuroscience · vol. 12(2), pp. 124-134

  90. 2017

    Can Patel's τ accurately estimate directionality of connections in brain networks from fMRI?

    Y Wang, O David, X Hu, G Deshpande

    Magnetic Resonance in Medicine · vol. 78(5), pp. 2003-2010

  91. 2017

    A realistic framework for investigating decision-making in the brain with high spatio-temporal resolution using simultaneous EEG/fMRI and joint ICA

    SP Kyathanahally, A Franco-Watkins, X Zhang, VD Calhoun, G Deshpande

    IEEE Journal of Biomedical and Health Informatics · vol. 21(3), pp. 814-825

  92. 2016

    Engagement of the left extrastriate body area during body-part metaphor comprehension

    S Lacey, R Stilla, G Deshpande, S Zhao, C Stephens, K McCormick, D Kemmerer, K Sathian

    Brain and Language · vol. 166, pp. 1-18

  93. 2016

    Exploring the neurocircuitry underpinning predictability of threat in soldiers with PTSD compared to deployment exposed controls

    MN Dretsch, KH Wood, TA Daniel, JS Katz, G Deshpande, A Goodman, MD Wheelock, KB Wood, TS Denney, S Traynham, DC Knight

    The Open Neuroimaging Journal · vol. 10, pp. 111-124

  94. 2016

    Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging

    JL Robinson, M Baxi, JS Katz, P Waggoner, R Beyers, E Morrison, N Salibi, TS Denney, V Vodyanoy, G Deshpande

    Nature Scientific Reports · vol. 6, pp. 36851

  95. 2016

    Advice taking from humans and machines: an fMRI and effective connectivity study

    K Goodyear, R Parasuraman, S Chernyak, P Madhavan, G Deshpande, F Krueger

    Frontiers in Human Neuroscience · vol. 10, pp. 542

  96. 2016

    Demonstration and validation of a new pressure-based MRI-safe pain tolerance device

    TA Daniel, MT Davis, TK Witte, RJ Beyers, JZ Willis, Y Wang, TS Denney Jr., JS Katz, N Salibi, G Deshpande

    Journal of Neuroscience Methods · vol. 271, pp. 160-168

  97. 2016

    A neural basis for the acquired capability for suicide

    G Deshpande, M Baxi, T Witte, JL Robinson

    Frontiers in Psychiatry · vol. 7, pp. 125, doi:10.3389/fpsyt.2016.00125

  98. 2016

    Altered directional connectivity between emotion network and motor network in Parkinson's disease with depression

    P Liang, G Deshpande, S Zhao, J Liu, X Hu, K Li

    Medicine · vol. 95(30), pp. e4222

  99. 2016

    Functional connectivity of the left and right hippocampus: Evidence for functional lateralization using meta-analytic approaches and ultra-high field functional neuroimaging

    JL Robinson, N Salibi, G Deshpande

    NeuroImage · vol. 135, pp. 64-78

  100. 2016

    Functional magnetic resonance imaging of the domestic dog: Research, methodology and conceptual issues

    AM Thompkins, G Deshpande, P Waggoner, JS Katz

    Comparative Cognition & Behavior Reviews · vol. 11, pp. 63-82

  101. 2016

    Form 'defines' function: Neural Connectivity between aesthetic perception and product purchase decisions in an fMRI study

    V Chattaraman, G Deshpande, HJ Kim, KR Sreenivasan

    Journal of Consumer Behavior · vol. 15(4), pp. 335-347

  102. 2016

    Diffusion of responsibility attenuates altruistic punishment: A functional magnetic resonance imaging effective connectivity study

    C Feng, G Deshpande, C Liu, R Gu, Y-J Luo, F Krueger

    Human Brain Mapping · vol. 37(2), pp. 663-77

  103. 2016

    Patterns of effective connectivity between memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults

    BM Hampstead, M Khoshnoodi, W Yan, G Deshpande, K Sathian

    NeuroImage · vol. 124(A), pp. 997-1008

  104. 2016

    Enhancement of odor-induced activity in the canine brain using zinc nanoparticles: A functional MRI study in fully unrestrained conscious dogs

    H Jia, OM Pustovyy, Y Wang, P Waggoner, R Beyers, J Schumacher, C Wildey, EE Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande

    Chemical Senses · vol. 41(1), pp. 53-67

  105. 2015

    Predicting purchase decisions based on spatio-temporal functional MRI features using machine learning

    Y Wang, V Chattaraman, HJ Kim, G Deshpande

    IEEE Transactions on Cognitive and Developmental Systems, formerly IEEE Transactions on Autonomous Mental Development (special issue on 'Multimodal Modeling and Analysis Informed by Brain Imaging') · vol. 7(3), pp. 248-255

  106. 2015

    Multimodal neuroimaging based classification of Autism Spectrum Disorder using anatomical, neurochemical and white matter correlates

    LE Libero, TP DeRamus, AC Lahti, G Deshpande, RK Kana

    Cortex · vol. 66, pp. 46-59

  107. 2015

    Influence of early life stress on intra- and extra-amygdaloid causal connectivity

    MM Grant, K Wood, KR Sreenivasan, M Wheelock, D White, J Thomas, DC Knight, G Deshpande

    Neuropsychopharmacology · vol. 40(7), pp. 1782-93

  108. 2015

    Non-parametric hemodynamic deconvolution of fMRI using homomorphic filtering

    KR Sreenivasan, M Havlicek, G Deshpande

    IEEE Transactions on Medical Imaging · vol. 34(5), pp. 1155-63

  109. 2015

    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 (formerly IEEE Transactions on Systems, Man and Cybernetics: Part B) · vol. 45 (12), pp. 2668-2679

  110. 2015

    Anterior-posterior dissociation of the default mode network in dogs

    SP Kyathanahally, H Jia, OM Pustovyy, P Waggoner, R Beyers, J Schumacher, J Barrett, EE Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande

    Brain Structure and Function · vol. 220(2), pp. 1063-1076

  111. 2015

    Effective connectivity during episodic memory retrieval in Schizophrenia participants before and after antipsychotic medication

    NL Hutcheson, KR Sreenivasan, G Deshpande, MA Reid, J Hadley, DM White, L Ver Hoef, A Lahti

    Human Brain Mapping · vol. 36(4), pp. 1442-57

  112. 2014

    Behavioral relevance of the dynamics of the functional brain connectome

    H Jia, X Hu, G Deshpande

    Brain Connectivity · vol. 4(9), pp. 741-759

  113. 2014

    Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity

    MD Wheelock, KR Sreenivasan, KH Wood, LW Ver Hoef, G Deshpande, DC Knight

    NeuroImage · vol. 102, pp. 904-912

  114. 2014

    Spatial imagery in haptic shape perception

    S Lacey, R Stilla, K Sreenivasan, G Deshpande, K Sathian

    Neuropsychologia · vol.60, pp. 144-158

  115. 2014

    Early life trauma and directional brain connectivity within major depression

    MM Grant, D White, J Hadley, N Hutcheson, R Shelton, K Sreenivasan, G Deshpande

    Human Brain Mapping · vol. 35(9), pp. 4815-4826

  116. 2014

    Brain Networks Shaping Religious Belief

    D Kapogiannis, G Deshpande, F Krueger, MP Thornburg, JH Grafman

    Brain Connectivity · vol. 4(1), pp. 70-79

  117. 2014

    Altered causal connectivity of resting state brain networks in amnesic MCI

    P Liang, Z Li, G Deshpande, Z Wang, X Hu, K Li

    PLoS ONE · vol. 9(3), pp. e88476

  118. 2014

    Functional MRI of the Olfactory System in Conscious Dogs

    H Jia, OM Pustovyy, P Waggoner, R Beyers, J Schumacher, C Wildey, J Barrett, EE Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande

    PLoS ONE · vol. 9(1), pp. e86362

  119. 2014

    Converting knowledge into value: Gaining insights from service dominant logic and neuroeconomics

    WS Randall, DR Nowicki, G Deshpande, RF Lusch

    International Journal of Physical Distribution and Logistics Management · vol. 44(8/9),pp. 655-670

  120. 2013

    Identification of neural connectivity signatures of autism using machine learning

    G Deshpande, L Libero, KR Sreenivasan, H Deshpande, RK Kana

    Frontiers in Human Neuroscience · vol.7, pp. 670

  121. 2013

    Neural changes with tactile learning reflect decision level reweighting of perceptual readout

    K Sathian, G Deshpande, R Stilla

    Journal of Neuroscience · vol. 33(12), pp. 5387-98

  122. 2013

    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 · vol. 23(2), pp. 1350003-14

  123. 2012

    A rigorous approach for testing the constructionist hypotheses of brain function

    G Deshpande, K Sathian, X Hu, JA Buckhalt

    Behavioral and Brain Sciences · vol. 35(3), pp. 148

  124. 2012

    Investigating Effective Brain Connectivity from fMRI Data: Past Findings and Current Issues with Reference to Granger Causality Analysis

    G Deshpande and X Hu

    Brain Connectivity · vol. 2(5), pp.235

  125. 2011

    Fronto-Parietal Regulation of Media Violence Exposure in Adolescents: A Multi-Method Study

    M Strenziok, F Krueger, G Deshpande, R Lenroot, E van der Meer, J Grafman

    Social Cognitive and Affective Neuroscience · vol. 6(5), pp. 537-547

  126. 2011

    Dual pathways for haptic and visual perception of spatial and texture information

    K Sathian, S Lacey, R Stilla, GO Gibson, G Deshpande, X Hu, S Laconte, C Glielmi

    NeuroImage · vol. 57(2), pp. 462-475

  127. 2011

    Fluid intelligence allows flexible recruitment of the parieto-frontal network in analogical reasoning

    F Preusse, E Van der Meer, G Deshpande, F Krueger, I Wartenburger

    Frontiers in Human Neuroscience · vol. 5, pp. 22

  128. 2011

    Effective connectivity of the multiplication network: A functional MRI and multivariate Granger causality mapping study

    F Krueger, S Landgraf, E van der Meer, G Deshpande and X Hu

    Human Brain Mapping · vol. 32(9), pp. 1419-1431

  129. 2011

    Art for reward’s sake: Visual art recruits the ventral striatum

    S Lacey, H Hagtvedt, VM Patrick, A Anderson, R Stilla, G Deshpande, X Hu, JR Sato, S Reddy, K Sathian

    NeuroImage · vol. 55(1), pp. 420-433

  130. 2011

    Activation and effective connectivity changes following explicit memory training for face-name pairs in patients with mild cognitive impairment: A pilot study

    BM Hampstead, AY Stringer, RF Stilla, G Deshpande, X Hu, AB Moore, K Sathian

    Neurorehabilitation and Neural Repair · vol. 25(3), pp. 210-222

  131. 2011

    Instantaneous and causal connectivity in resting state brain networks derived from functional MRI data

    G Deshpande, P Santhanam, X Hu

    NeuroImage · vol. 54(2), pp. 1043-52

  132. 2010

    Object familiarity modulates effective connectivity during haptic shape perception

    G Deshpande, X Hu, S Lacey, R Stilla and K Sathian

    NeuroImage · vol. 49(3), pp. 1991-2000

  133. 2010

    Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity

    G Deshpande, Z Li, P Santhanam, CD Coles, ME Lynch, S Hamann, X Hu

    PLoS One · vol. 5(12), pp. e14277

  134. 2010

    Effect of hemodynamic variability on Granger causality analysis of fMRI

    G Deshpande, K Sathian and X Hu

    NeuroImage · vol. 52(3), pp. 884-96

  135. 2010

    Assessing and compensating for zero-lag correlation in time-lagged Granger causality analysis of fMRI

    G Deshpande, K Sathian and X Hu

    IEEE Transactions on Biomedical Engineering · vol. 57, pp. 1446-1556

  136. 2010

    Altered Local Coherence in the Default Mode Network due to Sevoflurane Anesthesia

    G Deshpande, C Kerssens, P Sebel and X Hu

    Brain Research · vol. 1318, pp. 110-121

  137. 2009

    Multivariate Granger causality analysis of brain networks

    G Deshpande, S LaConte, GA James, S Peltier and X Hu

    Human Brain Mapping · vol. 30(4), pp. 1361-1373

  138. 2008

    Neural processing underlying tactile microspatial discrimination in the blind: A functional magnetic resonance imaging study

    R Stilla, R Hanna, E Mariola, G Deshpande, X Hu and K Sathian

    Journal of Vision · vol. 8(10), pp. 13.1-19

  139. 2008

    Effective Connectivity during Haptic Perception: A study using Granger causality analysis of functional magnetic resonance imaging data

    G Deshpande, X Hu, R Stilla and K Sathian

    NeuroImage · vol. 40(4), pp. 1807-14

  140. 2007

    Posteromedial parietal cortical activity and inputs predict tactile spatial acuity

    R Stilla, G Deshpande, S LaConte, X Hu, K Sathian

    Journal of Neuroscience · vol. 27(41), pp. 11091-11102

  141. 2006

    Connectivity analysis of human functional MRI data: from linear to nonlinear and static to dynamic

    G Deshpande, S LaConte, S Peltier and X Hu

    Lecture Notes in Computer Science · vol. 4091, pp. 17-24

  142. 2006

    Tissue specificity of nonlinear dynamics in baseline fMRI

    G Deshpande, S LaConte, S Peltier and X Hu

    Magnetic Resonance in Medicine · vol. 55(3), pp. 626-632

  143. 2002

    A high performance scheme for EEG compression using a multichannel model

    G Deshpande and A Makur

    Lecture Notes in Computer Science · vol. 2552, pp. 443-451

Books & book chapters 2 entries

  1. 2013

    Functional Magnetic Resonance Imaging

    JA Sexton, G Deshpande, Z Li, CB Glielmi and X Hu

    in “Neural Engineering”, Editor: Bin He, Springer-Verlag: New York

  2. 2013

    Deciphering Neural Connectivity from fMRI Data with Granger Causality Analysis

    G Deshpande, K Sathian and X Hu

    in “Progress in Cognitive Science: From Cellular Mechanisms to Computational Theories”, Editor: Zhong-Lin Lu, Peking University Press

Conference proceedings 100 entries

  1. 2025

    Formation of new attachment bonds in working dogs

    K Busby, E Cox, JG Smith, L Elrod, J Reckmack, K Mitchell, G Deshpande, F Krueger, & JS Katz

    . Proceedings of the International Conference on Comparative Cognition · vol. 32, pp. 39

  2. 2025

    A 7T Longitudinal Study Investigating the Effect of Sleep on Processing of Naturalistic Stimuli

    J Majumdar, PN Huynh, A Bashir, G Deshpande

    Proceedings of the 2025 Annual Meeting of the Organization for Human Brain Mapping · vol. 31, pp. 3333

  3. 2025

    Face Decoding from 7T fMRI Using Diffusion Generative Model Improves with Hemodynamic Deconvolution

    N Huynh and G Deshpande

    Proceedings of the 2025 Annual Meeting of the Organization for Human Brain Mapping · vol. 31, pp. 2110

  4. 2025

    Autism Spectrum Disorder Detection Using Resting-State fMRI Imaging with Convolutional Neural Networks

    MM Hasan, G Deshpande, and X Chang

    Proceedings of the 2025 Annual Meeting of the American Academy of Neurology, appearing in Neurology · vol. 104 (7_Supplement_1), pp. 3176

  5. 2025

    Face Decoding and Reconstruction from 7T Laminar fMRI Data using A Diffusion Generative Model

    N Huynh and G Deshpande

    Proceedings of the 2025 Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 34, pp. 928

  6. 2025

    Neural Connectivity Underlying Somatic Awareness in Patients with Heart Failure

    CY Lin, D Moser, PN Huynh, JR Wu, G Deshpande

    Proceedings of the Annual Meeting of the American Heart Association, appearing in Circulation · vol. 152(S3), pp. A4372178-A4372178

  7. 2023

    Neural perspective on observational drawing: A longitudinal resting state functional connectivity study using 7T MRI

    A Safai, JS Katz, B Bondy, G Deshpande

    Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) · vol. 31, pp. 2673

  8. 2023

    Laminar effective connectivity of the default mode network assessed using 7T fMRI

    PN Huynh, G Deshpande

    Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) · vol. 31, pp. 3302

  9. 2022

    Layer-specific functional changes associated with compensation for central vision loss due to macular degeneration

    P Demirayak, D DeCarlo, G Deshpande, TS Denney, K Visscher

    Proceedings of the Vision Sciences Society Annual Meeting, St. Pete Beach, FL

  10. 2022

    Human-robot attachment: A working framework based on human–dog relationships

    F Krueger, K Mitchell, E Cox, L Lazarowski, G Deshpande, J Katz

    Proceedings of the 11th Annual Meeting of the BICA Society, Guadalajara, Mexico

  11. 2022

    Human-dog relationships as a working framework for exploring human-robot attachment: an ethorobotic pyschoneurobiological research approach

    K Mitchell, E Cox, L Lazarowski, G Deshpande, JS Katz, F Krueger

    Proceedings of the Annual Meeting of the International Society of Research on Emotion, Los Angeles, CA

  12. 2022

    Development of attachment bonds in dogs

    E Cox, L Lazarowski, JG Smith, L Elrod, J Reckmack, K Mitchell, G Deshpande, F Krueger, JS Katz

    Proceedings of the 29th International Conference of Comparative Cognition, Virtual

  13. 2022

    Energy level predicts training time for awake and unrestrained MRI in dogs

    JG Smith, L Lazarowski, A Davila, L Montgomery, G Deshpande, JS Katz

    Proceedings of the 29th International Conference of Comparative Cognition, Virtual

  14. 2021

    Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network

    Y Ma, D Yan, C Long, D Rangaprakash, G Deshpande

    Proceedings of the 2021 International Joint Conference on Neural Networks · pp. 1-8

  15. 2021

    Functional connectivity based prediction of Autism on site harmonized ABIDE dataset

    M Ingalhalikar, S Shinde, A Karmarkar, A Rajan, D Rangaprakash, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 29, pp. 2593

  16. 2021

    VAE deep learning model with domain adaptation and harmonization for diagnostic classification from multi-site neuroimaging data

    B Lu, D Rangaprakash, M Ingalhalikar, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 29, pp. 196

  17. 2021

    Intrauterine Exposure to Vitamin B12 and Folate Imbalance and Brain Structure in Young Adults of the Pune Maternal Nutrition Study (PMNS) Birth Cohort

    R Behere, G Deshpande, A Shah, N Dsouza, C Yajnik

    Proceedings of the 2021 Annual Nutrition Science Meeting published in Current Developments in Nutrition, Vol. 5(Supplement 2) · pp. 894

  18. 2020

    A robust transfer learning method to improve early diagnosis of autism spectrum disorder classification

    B Lu, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 28, pp. 1872

  19. 2019

    Dynamics of segregation and integration in directional brain networks: Illustration in Soldiers with PTSD and neurotrauma

    D Rangaprakash, MN Dretsch, JS Katz, TS Denney, G Deshpande

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping, OHBM 2019, Rome, Vol. 27 · pp. M774

  20. 2018

    Decoding item-specific information in visual short-term memory from the hippocampal DG/CA3 subfield using high-resolution fMRI

    D Rangaprakash, W Xie, M Cappiello, M Yassa, E Ester, G Deshpande, W Zhang

    Proceedings of the Annual Meeting of the Vision Sciences Society, Journal of Vision · vol. 18, pp. 370

  21. 2018

    Resting-state fMRI functional connectivity is confounded by the hemodynamic response function (HRF)

    D Rangaprakash, G-R Wu, D Marinazzo, X Hu, G Deshpande

    Proceedings of Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 26, pp. 2321

  22. 2018

    Approximation of 1H MRS glutamate from fMRI hemodynamic response function

    D Rangaprakash, G Deshpande, R Tadayonnejad, J O’Neill, JD Feusner

    Proceedings of Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 26, pp. 2417

  23. 2018

    Characterization of Hemodynamic Alterations in Schizophrenia and Bipolar Disorder and Their Effect on Resting-State Functional Connectivity

    W Yan, L Palaniyappan, G Deshpande

    Proceedings of the Sixth Biennial Schizophrenia International Research Society Conference, Schizophrenia Bulletin · vol. 44(S1), pp. S170

  24. 2018

    Characterizing the Role of Zinc Metal Nanoparticles in the Initial Events of Olfaction

    S Hagerty, M Singletary, O Pustovyy, L Globa, I Sorokulova, Y Daniels, W MacCrehan, S Muramoto, G Stan, J Lau, G Deshpande, E Morrison, V Vodyanoy

    Proceedings of the Annual Meeting of the Association for Chemoreception Sciences, Chemical Senses · vol. 43(4), pp. E33-E34

  25. 2018

    Resting-state functional connectivity is confounded by the hemodynamic response function

    D Rangaprakash, G-Rong Wu, D Marinazzo, X Hu, G Deshpande

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping · vol. 26, pp. 2376

  26. 2018

    FMRI hemodynamic response function is sensitive to brain pathology and interventional treatment

    D Rangaprakash, R Tadayonnejad, G Deshpande, J O’Neill, JD Feusner

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping · vol. 26, pp. 1752

  27. 2018

    1H MRS glutamate can be approximated from fMRI hemodynamic response function

    D Rangaprakash, G Deshpande, R Tadayonnejad, J O’Neill, JD Feusner

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping · vol. 26, pp. 1751

  28. 2018

    MALINI (Machine Learning in NeuroImaging): A MATLAB-based toolbox for diagnostic classification

    P Lanka, D Rangaprakash, SSR Gotoor, MN Dretsch, JS Katz, TS Denney, G Deshpande

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping · vol. 26, pp. 2494

  29. 2018

    Characterization of Hemodynamic Alterations in Schizophrenia and Bipolar Disorder and Their Effect on Resting-State Functional Connectivity

    W Yan, L Palaniyappan, G Deshpande

    To appear in the proceedings of the Sixth Biennial Schizophrenia International Research Society Conference, SIRS 2018, Florence, Italy, April

  30. 2017

    Brain Network of Emotion Regulation in Soldiers with Trauma

    D Rangaprakash, MN Dretsch, TA Daniel, TS Denney, JS Katz, G Deshpande

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping · vol. 25, pp. 1389

  31. 2017

    Effective Connectivity Network of Emotion Regulation in Soldiers with Trauma

    D Rangaprakash, MN Dretsch, TA Daniel, TS Denney, JS Katz, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 25, pp. 510

  32. 2017

    Investigating Brain Connectomic Alterations in PTSD and PCS using the Reproducibility of Independent Components obtained from Resting-State Functional MRI Data

    M Syed, D Rangaprakash, MN Dretsch, TS Denney, JS Katz, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 25, pp. 511

  33. 2017

    Distortions in Dynamic Functional Connectivity in Autism Spectrum Disorders

    R Kana, H Bednarz, D Rangaprakash, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 25, pp. 2250

  34. 2017

    Hemodynamic response function characteristics in pre- and post-treatment obsessive-compulsive disorder

    D Rangaprakash, R Tadayonnejad, G Deshpande, J O’Neill, JD Feusner

    Proceedings of the Annual Meeting of the American College of Neuropsychopharmacology · vol. 43, pp. S172

  35. 2016

    Assessing the Reliability of Estimated Correlation during the Evaluation of Dynamic Functional Connectivity

    T Shi, D Rangaprakash, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 1657

  36. 2016

    Identifying Foci of Brain Disorders from Effective Connectivity Networks

    D Rangaprakash, G Deshpande, A Venkataraman, JS Katz, TS Denney Jr., MN Dretsch

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 3740

  37. 2016

    Resting State Functional Connectivity is Sensitive to Layer-specific Connectional Architecture in Cortical Columns

    Y Wang, J Robinson, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 636

  38. 2016

    Brain Network Segregation and Integration is altered in Soldiers with Post-traumatic Stress Disorder and Mild Traumatic Brain Injury

    D Rangaprakash, G Deshpande, JS Katz, TS Denney Jr., MN Dretsch

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 1733

  39. 2016

    Perils of Using Cross-validation for Performance Estimation in Neuroimaging-based Diagnostic Classification

    P Lanka, D Rangaprakash, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 225

  40. 2016

    Hemodynamic Alterations in Post-traumatic Stress Disorder and Mild Traumatic Brain Injury

    G Deshpande, D Rangaprakash, W Yan, JS Katz, TS Denney Jr., MN Dretsch

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 222

  41. 2016

    Investigating the correspondence of clinical diagnostic grouping with underlying neurobiological and phenotypic clusters using unsupervised learning: An application to the Alzheimer’s spectrum

    X Zhao, D Rangaprakash, DN Dutt, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 4034

  42. 2016

    Identifying Brain Connectomic Alterations Specific to Mild Cognitive Impairment and Depression Co-morbid with Parkinson’s Disease

    S Zhao, P Liang, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 1224

  43. 2016

    Zinc Nanoparticles Enhance Brain Connectivity in the Canine Olfactory Network: Evidence from an fMRI Study in Fully Unrestrained Conscious Dogs

    B Ramaiahgari, OM Pustovyy, P Waggoner, RJ Beyers, J Schumacher, C Wildey, E Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 1690

  44. 2016

    Enhancing Creativity and Insight using fMRI Neurofeedback

    W Yan, D Scheinost, A Snyder, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 1739

  45. 2016

    Training Induced Olfactory Network Changes in Master Sommeliers: Connectivity Analysis Using Granger Causality and Graph-theoretical Approach

    KR Sreenivasan, X Zhuang, V Mishra, Z Yang, G Deshpande, S Banks, D Cordes

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Singapore · vol. 24, pp. 1688

  46. 2016

    Increased Intra-Individual Neural Variability in Autism

    H Bednarz, H Deshpande, G Deshpande, R Kana

    Archives of Clinical Neuropsychology · vol. 31(6), pp.619

  47. 2015

    Predicting Dogs’ Training Ease and Behavior using their Neural Responses to Discriminative Odors

    T Shi, O Pustovyy, Y Wang, P Waggoner, R Beyers, J Fleming, P Hammond, E Morrison, TS Denney, V Vodyanoy, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 3904

  48. 2015

    Characterization of Hemodynamic Alterations in Autism using Resting State fMRI

    W Yan, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 435

  49. 2015

    Do fMRI Resting State Networks have True High Frequency Electrical Correlates of Neural Dynamics?

    Y Wang, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 3944

  50. 2015

    Investigating Brain Connectomic Alterations in Autism using Reproducibility of Independent Components derived from Resting State fMRI

    M Syed, Z Yang, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 1294

  51. 2015

    Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging

    M Baxi, J Robinson, P Waggoner, R Beyers, E Morrison, N Salibi, TS Denney Jr., V Vodyanoy, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 3007

  52. 2015

    Static and Dynamic Functional Connectivity Impairments in Concussed Soldiers with and without PTSD

    D Rangaprakash, G Deshpande, TA Daniel, A Goodman, JS Katz, N Salibi, TS Denney Jr., MAJ MN Dretsch

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 4402

  53. 2015

    Global Brain Network Alterations in Post-Traumatic Stress Disorder and Post-Concussion Syndrome

    D Rangaprakash, G Deshpande, DN Dutt, TA Daniel, A Goodman, JS Katz, N Salibi, TS Denney Jr., MAJ MN Dretsch

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 1357

  54. 2015

    Investigating the Role of Brain Stem in Alzheimer’s Disease using Directional Brain Networks derived from Resting State fMRI

    S Zhao, A Venkataraman, P Liang, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 4311

  55. 2015

    Deterioration from Healthy to Mild Cognitive Impairment and Alzheimer’s disease Mirrored in Corresponding Loss of Centrality in Directed Brain Networks

    S Zhao, CKD Kumar, DN Dutt, P Liang, G Deshpande

    Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 23, pp. 4316

  56. 2015

    Clustering of Dynamic Functional Connectivity Features Obtained from Functional Magnetic Resonance Imaging Data

    V Ashikh, G Deshpande, D Rangaprakash, DN Dutt

    Proceedings of the IEEE International Conference on Advances in Computing Communications and Informatics · pp.308-12, Kochi, India, Aug

  57. 2015

    Structural and functional connectivity associated with the neuroendocrine response to acute psychosocial stress

    MD Wheelock, D Rangaprakash, TR Orem, NG Harnett, KH Wood, G Deshpande, S Mrug, DC Knight

    Proceedings of the Annual Meeting of the Society for Neuroscience, SFN 2015 · pp.W19, Chicago, IL, USA, October

  58. 2015

    Static and Dynamic Functional Connectivity Impairments in Soldiers with PTSD and mTBI

    D Rangaprakash, G Deshpande, TA Daniel, A Goodman, JS Katz, N Salibi, TS Denney Jr., MN Dretsch

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015 · vol.23, pp.1016, Hawaii, USA, June

  59. 2015

    Predicting Dogs’ Training Ease and Behavior using their fMRI based Neural Responses

    T Shi, S Zhao, JP Anglin, P Lanka, A Thompkins, L Lazarowski, O Pustovyy, Y Wang, P Waggoner, R Beyers, J Fleming, L Benecke, P Hammond, N Salibi, E Morrison, TS Denney, V Vodyanoy, G Deshpande

    Proceedings of the Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015 · vol.23, pp.1710, Hawaii, USA, June

  60. 2014

    Disrupted intra- and extra- amygdaloid effective connectivity in presence of early life stress

    KR Sreenivasan, MM Grant, KH Wood, M Wheelock, JR Shumen, RC Shelton, DC Knight, G Deshpande

    Proceedings of the 22nd Annual Meeting of the International Society for Magnetic Resonance in Medicine, Milan, Italy · vol. 22, pp. 170

  61. 2014

    Effective connectivity analysis of visual-motor network in patients with schizophrenia

    NL Hutcheson, KR Sreenivasan, G Deshpande, DM White, AC Lahti

    Proceedings of the 22nd Annual Meeting of the International Society for Magnetic Resonance in Medicine, Milan, Italy · vol. 22, pp. 3464

  62. 2014

    Dynamics of functional and effective brain connectivity better predicts disease state compared to traditional static connectivity

    G Deshpande, H Jia, X Hu, C Jin, L Li, T Liu

    Proceedings of the 22nd Annual Meeting of the International Society for Magnetic Resonance in Medicine, Milan, Italy · vol. 22, pp. 4155

  63. 2014

    Behavioral relevance of the temporal dynamics of the functional brain connectome

    H Jia, X Hu, G Deshpande

    Proceedings of the 22nd Annual Meeting of the International Society for Magnetic Resonance in Medicine, Milan, Italy · vol. 22, pp. 4179

  64. 2014

    Investigating the neural basis of the default mode network using blind hemodynamic deconvolution of resting state fMRI data

    SP Kyathanahally, KR Sreenivasan, D Marinazzo, G Wu, G Deshpande

    accepted for presentation at the 22nd Annual Meeting of the International Society for Magnetic Resonance in Medicine, Milan, Italy · vol. 22, pp. 439

  65. 2013

    Identification of Neural Connectivity Signatures of Autism using Machine Learning

    G Deshpande, KR Sreenivasan, H Deshpande, R Kana

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 520

  66. 2013

    Fully connected cascade deep architecture neural networks outperform support vector machines for disease state classification using fMRI data

    P Wang, B Wilamowski, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3256

  67. 2013

    A Meta-analytic framework for investigating differential bio-markers of functional and structural connectivity: Application to sex differences underlying suicide and depression

    N Garrepalli, J Robinson, TK Witte, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3578

  68. 2013

    A Framework for Causal Connectivity Analysis of fMRI in Patient Populations: An application to Major Depression and Early Life stress

    KR Sreenivasan, MM Grant, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3558

  69. 2013

    A Comparison of Parametric and Non-Parametric Blind Hemodynamic Deconvolution Methods for fMRI

    KR Sreenivasan, M Havlicek, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3261

  70. 2013

    Temporally quasi-stable spatial configurations in fMRI reveal scale-free dynamics similar to that of EEG microstates

    N Erbil, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3247

  71. 2013

    Investigation of the neural basis of the Default Mode Network using parallel Independent Component Analysis of simultaneous EEG/fMRI data

    SP Kyathanahally, N Erbil, VD Calhoun, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 37

  72. 2013

    Finite Number of Brain Network Configurations Revealed from Time-varying Connectivity Assessment of Resting State fMRI

    H Jia, X Hu, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 36

  73. 2013

    Experimental validation of dynamic Granger causality for inferring sub-100ms neuronal timing differences from fMRI without the confounding effect of hemodynamic variability

    Y Wang, S Katwal, B Rogers, J Gore, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3283

  74. 2013

    A framework for investigating decision-making in the brain with high spatio-temporal resolution using simultaneous EEG/fMRI and joint ICA

    SP Kyathanahally, N Erbil, AM Franco-Watkins, X Zhang, VD Calhoun, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3225

  75. 2013

    Unconstrained cross-network directional interactions in schizophrenia

    D Liao, L Palaniyappan, K Sreenivasan, P Liddle, M Simmonite, G Deshpande

    Proceedings of the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT, USA · vol. 21, pp. 3301

  76. 2012

    Altered cerebral effective connectivity in theory-of-mind in autism spectrum disorders

    K Sreenivasan, G Deshpande, H Deshpande, R Kana

    Proceedings of the 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 20, pp. 3671

  77. 2012

    Correction of hemodynamic latency based on breath holding improves Granger causality obtained from fMRI data

    Z Li, B Yousefi, G Deshpande, X Hu

    Proceedings of the 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 20, pp. 2099

  78. 2012

    Functional MRI of the Olfactory System in Awake and Anesthetized Dogs

    H Jia, O Pustovyy, P Waggoner, RJ Beyers, J Schumacher, J Barrett, E Morrison, RL Gillette, TS Denney, VJ Vodyanoy, G Deshpande

    Proceedings of the 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 20, pp. 2899

  79. 2012

    Anterior-Posterior Dissociation of the Default Mode Network in Dogs

    SP Kyathanahally, O Pustovyy, P Waggoner, RJ Beyers, J Schumacher, J Barrett, E Morrison, RL Gillette, TS Denney, VJ Vodyanoy, G Deshpande

    Proceedings of the 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 20, pp. 2188

  80. 2012

    Time-frequency dynamics of resting state effective connectivity in the default mode network

    G Deshpande, H Jia, Z Li, X Hu

    Proceedings of the 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 20, pp. 2823

  81. 2011

    Fatigue-induced Changes in Brain Nonlinearity Inferred by Nonparametric and Differential Equation Models of fMRI

    G Deshpande, X Hu

    Proceedings of 2011 IEEE International Conference on Industrial Technology, Auburn, USA · pp. 336-341

  82. 2011

    Simultaneous Investigation of Local and Distributed Functional Brain Connectivity from fMRI Data

    G Deshpande, X Huo, X Hu, P Sebel, C Kerssens

    Proceedings of 5th IEEE/EMBS International Conference on Neural Engineering, Cancun, Mexico · pp. 57-63

  83. 2011

    Prediction of Age Using Resting-State Functional and Effective Connectivity

    Z Li, JA Sexton, G Deshpande, X Hu

    Proceedings of the 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 19, pp. 435

  84. 2011

    Stimulus entrained dynamic effective connectivity analysis of fMRI

    G Deshpande, S Lacey, H Hagtvedt, VM Patrick, A Anderson, R Stilla, X Hu, JR Sato, S Reddy, K Sathian

    Proceedings of the 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine · vol. 19, pp. 3555

  85. 2010

    Instantaneous and Causal Connectivity in Resting State Brain Networks Derived from fMRI Data

    G Deshpande, P Santhanam and X Hu

    Proceedings of the 18th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Stockholm · vol. 17, pp. 5395

  86. 2010

    Functional MRI Constrained EEG Sources Localization for Brain State Classification

    C Wang, Z Li, G Deshpande, L Yao, X Hu

    Proceedings of the 18th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Stockholm · vol. 17, pp. 5518

  87. 2009

    Effective Connectivity of Resting State Networks in Patients Prenatally Exposed to Cocaine Shows Higher Emotional Arousal

    G Deshpande, P Santhanam, Z Li, GA James, C Coles, ME Lynch, S Hamman and X Hu

    Proceedings of 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Honolulu · vol. 17, pp. 3379

  88. 2009

    Predicting Treatment in Patients with Major Depression Using Granger-Based Connectivity and Support Vector Machines

    G Deshpande, GA James, RC Craddock, HS Mayberg and X Hu

    Proceedings of 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Honolulu · vol. 17, pp. 3362

  89. 2008

    Effect of hemodynamic spatial variability on Granger-based long term causality

    G Deshpande, GA James, X Hu

    Proceedings of 16th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 16, pp. 3596

  90. 2008

    Network reduction for interpreting large scale brain networks

    G Deshpande, R Stilla, K Sathian, X Hu.

    Proceedings of 16th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto · vol. 16, pp. 3597

  91. 2007

    Integrated local correlation: a new measure of local coherence in fMRI data

    G Deshpande, S LaConte, S Peltier, X Hu.

    Proceedings of 15th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Berlin, Germany · vol. 15, pp. 3480

  92. 2007

    Multivariate Granger causality analysis of brain networks

    G Deshpande, S LaConte, S Peltier, GA James, X Hu.

    Proceedings of 15th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Berlin, Germany · vol. 15, pp. 3184

  93. 2006

    Directed transfer function of fMRI to investigate network dynamics

    G Deshpande, S LaConte, S Peltier and X Hu

    Proceedings of 28th Annual International Conference of IEEE EMBS New York · pp.671-674

  94. 2006

    Tissue specificity of nonlinear dynamics in baseline fMRI

    G Deshpande, S LaConte, S Peltier and X Hu

    Proceedings of the 14th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Seattle · vol.14, pp. 533

  95. 2006

    Local coherence as a measure of localized co-ordination in the brain: an application to anesthesia

    G Deshpande, S LaConte, S Peltier, C Kerssens, S Hamman, P Sebel, M Byas-Smith and X Hu

    Proceedings of the 14th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Seattle · vol.14, pp. 1100

  96. 2005

    Spatial embedding of fMRI for investigating local coupling in human brain

    G Deshpande, S LaConte, S Peltier and X Hu

    Proceedings of SPIE International Symposium on Medical Imaging, San Diego · vol. 5746, pp. 119-125

  97. 2005

    Evaluation of nonlinear functional connectivity using phase-space embedding

    G Deshpande, S LaConte, S Peltier and X Hu

    Proceedings of the 13th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Miami · vol.13, pp. 1598

  98. 2004

    Detecting nonlinear dynamics of functional connectivity

    S LaConte, S Peltier, Y Kadah, SC Ngan, G Deshpande, X Hu

    Proceedings of SPIE International Symposium on Medical Imaging, San Diego · vol. 5369, pp. 227-237

  99. 2002

    Compression of EEG signals using novel wavelet-based techniques with applications to telemedicine

    G Deshpande

    Proceedings of 8th National Conference on Communications, Mumbai, India · pp.190-194

  100. 2001

    A novel computer-based technique using Poincare plots for processing cardiovascular and cerebral signals for detection of abnormality

    G Deshpande

    Proceedings of the Tenth Annual Symposium of IEEE on Multimedia Communications and Signal Processing, Bangalore, India · pp. 74-78