Homepage of Gopikrishna Deshpande

CONTACT INFORMATION

266 D, MRI Center

560 Devall Dr

Auburn AL 36830

Email: gopi@auburn.edu

Ph: 334-844-7653 (office)

Fax: 334-844-0214

Web: https://eng.auburn.edu/directory/gzd0005 

         http://www.eng.auburn.edu/research/centers/mri

RESEARCH INTERESTS

Methodological

·         Signal and Image Processing

·         Functional Magnetic Resonance Imaging (fMRI)

·         Multimodal Imaging and Data Fusion (e.g. Electroencephalography (EEG) and fMRI)

·         Network Modeling of Brain Function (Autoregressive, Bayesian, Wavelet and State-space models)

·         Ultra-high field (7T) MRI: Sub-mm Layer fMRI and Multinuclear MR Spectroscopy

·         Big Data Analytics, Pattern Recognition and Deep Learning in Neuroimaging

·         Neurofeedback

Applications

·         Sensory, Motor and Cognitive Neuroscience

·         Social and Affective Neuroscience

·         Consciousness

·         Complementary Medicine, specifically Meditation

·         Clinical Populations such as Autism, Alzheimer’s, Developmental Psychopathologies, PTSD

·         Neuroeconomics and Neuromarketing

·         fMRI in awake dogs

EDUCATION

• 2003-2007: Ph.D. – Biomedical Engineering, Georgia Institute of Technology, Atlanta, USA

• 2001-2003: MS – Electrical Communication Engineering, Indian Institute of Science, Bangalore, India

• 1997-2001: B.Tech – Electronics and Communication Engg, National Institute of Technology, Warangal, India

EXPERIENCE

• 2019 - Present: Professor, Dept of Electrical and Computer Engineering, Auburn University

• 2019 - Present: Adjunct Professor, Dept of Psychology, Auburn University

• 2019 - Present: Visiting Professor, Dept of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India

• 2022 - Present: Visiting Professor, Dept of Heritage Science and Engineering, Indian Institute of Technology, Hyderabad, India

• 2021 - 2022: Visiting Professor, Center for Brain Research, Indian Institute of Science, Bangalore, India

• 2019  - 2022: Visiting Professor, School of Psychology, Capital Normal University, Beijing, China

• 2015 - 2019: Associate Professor, Dept of Electrical and Computer Engineering, Auburn University

• 2015 - 2019: Adjunct Associate Professor, Dept of Psychology, Auburn University

• 2015 - Present: Affiliate Faculty, Alabama Advanced Imaging Consortium

• 2018 - Present: Affiliate Faculty, Center for Health Ecology and Equity Research, Auburn University

• 2018 - Present: Affiliate Faculty, Center for Neuroscience, Auburn University

• 2010 - 2015: Assistant Professor, Dept of Electrical and Computer Engineering, Auburn University

• 2010 - 2015: Adjunct Assistant Professor, Dept of Psychology, Auburn University

• 2009 - 2010: Research Faculty, Dept of Biomedical Engineering, Georgia Institute of Technology & Emory University

• 2007 - 2009: Post-Doctoral Fellow, Dept of Biomedical Engineering, Georgia Institute of Technology & Emory University

• 2003 - 2007: Research Assistant, Dept of Biomedical Engineering, Georgia Institute of Technology & Emory University

• 2003 - 2003: Software Engineer, SASKEN communication Technologies, Bangalore, India

PEER-REVIEWED JOURNAL PUBLICATIONS

1. G Deshpande,  B Lu, PN Huynh, D Rangaprakash, "VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data", Frontiers in Neuroinformatics, in press.

2. L Bertin, JS Katz, G Deshpande, F Krueger, "Beyond the human touch: A critical review of the promise and challenges of animal- and robot-assisted therapy in loneliness and mental healthcare", Asian Journal of Psychiatry, in press.

3. N Erbil, G Deshpande, "Scale-Free Dynamics of Resting-State fMRI Microstates", Fractal and Fractional, vol. 9(2), pp. 112, 2025.

4. 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, "Social bonding between humans, animals and robots: Dogs outperform their robotic replicas as social companions", Plos One, in press.

5.  J Gunst, E Vaghefi, E Mirkoohi, B Prorok, G Deshpande, S Gururaja, "Leveraging machine learning to quantify the effect of porosity on mode I delamination in ceramic matrix composites", Composite Structures, in press. 

6. J Bhattacharya, A Gupta, MN Dretsch, TS Denney, G Deshpande, "A reliable clinical decision support system for posttraumatic stress disorder using functional magnetic resonance imaging data", IEEE Transactions on Artificial Intelligence, vol. 5(11), pp. 5605-5615, 2024.

7. YY Ozdemir, NCP Nukala, R Molinari, G Deshpande, "A Multi-Model Framework to Explore ADHD Diagnosis from Neuroimaging Data", Journal of Data Science, vol. 22(2), pp. 191–207, 2024.

8. PF Tsai, JL Edison, CH Wang, MW Gramlich, KQ Manning, G Deshpande, A Bashir, J Sefton, "Characteristics of patients with myofascial pain syndrome of the low back", Nature Scientific Reports, vol. 14(1), pp. 11912, 2024.

9. 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, "The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-based Diagnostic Classification", Brain Sciences, vol. 14(5), pp. 456, 2024.

10. G Deshpande, J Masood, PN Huynh, TS Denney, MN Dretsch, "Interpretable deep learning for neuroimaging-based diagnostic classification", IEEE Access, vol. 12, pp. 55474-55490, 2024.

11. G Deshpande, S Zhao, P Waggoner, R Beyers, E Morrison, PN Huynh, V Vodyanoy, TS Denney, JS Katz, "Two separate brain networks for predicting trainability and tracking training-related plasticity in working dogs", Animals, vol. 14(7), pp. 1082, 2024. 

12. PN Huynh, G Deshpande, "A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disorders", Frontiers in Neuroscience, vol. 18, pp. 1333712, 2024.

13. J Chaki, G Deshpande, "Brain disorder detection and diagnosis using machine learning and deep learning - A bibliometric analysis", Current Neuropharmacology, vol. 22(13), pp. 2191-2216, 2024.

14. S Kumar, AR Shovon, G Deshpande, "The Robustness of Persistent Homology of Brain Networks to Data Acquisition-related Non-neural Variability in Resting state fMRI", Human Brain Mapping, vol. 44(13), pp. 4637-4651, 2023.

15. D Rangaprakash, RL Barry, G Deshpande, "The confound of hemodynamic response function variability in human resting-state functional MRI studies", Frontiers in Neuroscience, vol. 17, pp. 934138, 2023.

16. A Kaddoumi, TS Denney, G Deshpande, JL Robinson, RJ Beyers, DT Redden, D Praticò, TC Kyriakides, B Lu, AN Kirby, DT Beck, ND Merner, "Extra-Virgin Olive Oil Enhances the Blood–Brain Barrier Function in Mild Cognitive Impairment: A Randomized Controlled Trial", Nutrients, vol. 14(23), pp. 5102, 2022.

17. G Deshpande, Y Wang, "Noninvasive characterization of functional pathways in layer-specific microcircuits of the human brain using 7T fMRI", Brain Sciences, vol. 12(10), pp. 1361, 2022. 

18. P Demirayak, G Deshpande, K Visscher, "Laminar functional magnetic resonance imaging in vision research",  Frontiers in Neuroscience, vol. 16, pp. 910443, 2022.

19. G Deshpande, X Zhao, JL Robinson, "Functional Parcellation of the Hippocampus based on its Layer-specific Connectivity with Default Mode and Dorsal Attention Networks", NeuroImage, vol. 254, pp. 119078, 2022.

20. G Deshpande, V Alluri, A Sharma, M Ingalhalikar, "Editorial: It Is a Matter of Matters: Deciphering Structural and Functional Brain Connectivity", Frontiers in Neuroscience, vol. 16, pp. 951001, 2022.

21. 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*, "Effect of intranasal Oxytocin on resting-state effective connectivity in schizophrenia", Schizophrenia Bulletin, vol. 48(5), pp. 1115-1124, 2022. * These authors contributed equally.

22. G Deshpande, Y Wang, JL Robinson, "Resting State fMRI Connectivity is Sensitive to Laminar Connectional Architecture in the Human Brain", Brain Informatics, vol. 9(1), pp. 2, 2022.

23. AM Goodman, MD Wheelock, NG Harnett, ES Davis, S Mrug, G Deshpande, DC Knight, "Stress-induced changes in effective connectivity during regulation of the emotional response to threat", Brain Connectivity, vol. 12(7), pp. 629-638, 2022. 

24. W Yan, L Palaniyappan, PF Liddle, D Rangaprakash, W Wei, G Deshpande, "Characterizations of hemodynamic alterations in Schizophrenia and Bipolar disorder and their effect on resting-state fMRI functional connectivity," Schizophrenia Bulletin, vol. 48(3), pp. 695-711, 2022.

25. M Ingalhalikar, S Shinde, A Karmarkar, A Rajan, D Rangaprakash, G Deshpande, "Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset", IEEE Transactions on Biomedical Engineering, vol. 68(12), pp. 3628-3637, 2021.

26. JL Robinson, X Zhou, RT Bird, MJ Leavitt, SJ Nichols, SK Blaine, G Deshpande, "Neurofunctional segmentation shifts in the hippocampus", Frontiers in Human Neuroscience, vol. 15, pp. 729836, 2021.

27. RV Behere, G Deshpande, S Bandyopadhyay, CS Yajnik, "Maternal vitamin B12, folate during pregnancy and neurocognitive outcomes in young adults of the Pune Maternal Nutrition Study (PMNS) prospective birth cohort: Study protocol", British Medical Journal (BMJ) Open, vol. 11(9), pp. e046242, 2021.

28. J Wang, Y Xu, G Deshpande, K Li, P Sun, PP Liang, "The Effect of Light Sedation with Midazolam on Functional Connectivity of the Dorsal Attention Network", Brain Sciences, vol. 11(8), pp. 1107, 2021.

29. Q Yang, G Bellucci, M Hoffman, KT Hsu, S Lis, B Lu, G Deshpande, F Krueger, "Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment", Cognitive Affective and Behavioral Neuroscience, vol. 21(6), pp. 1222-1232, 2021.

30. F Krueger, KC Mitchell, G Deshpande, JS Katz, "Human-Dog Relationships as a Working Framework for Exploring Human-Robot Attachment: A Multidisciplinary Review", Animal Cognition, vol. 24, pp. 371–385, 2021.

31. AM Thompkins, L Lazarowski, B Ramaiahgari, SSR Gotoor, P Waggoner, TS Denney, G Deshpande, JS Katz, "Dog-Human Social Relationship: Representation of Human Face Familiarity and Emotions in the Dog Brain", Animal Cognition, vol. 24(2), pp. 251-266, 2021.

32. D Rangaprakash, R Tadoyannejad, G Deshpande, J O'Neill, JD Feusner, "FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response", Brain Imaging and Behavior, vol. 15(3), pp.1622-1640, 2021.

33. D Rangaprakash, T Odemuyiwa, DN Dutt, G Deshpande, "Density Based Clustering of Static and Dynamic Functional MRI Connectivity Features Obtained from Subjects with Cognitive Impairment", Brain Informatics, vol.7, pp. 19, 2020.

34. T Banerjee, V Chattaraman, H Zou, G Deshpande, "A Neurobehavioral Study on the Efficacy of Price Interventions in Promoting Healthy Food Choices among Low Socioeconomic Families", Nature Scientific Reports, vol. 10, pp. 15435, 2020.

35. N Chaitra, PA Vijaya, G Deshpande, "Diagnostic Prediction of Autism Spectrum Disorder Using Complex Network Measures in a Machine Learning Framework", Biomedical Signal Processing and Control,  vol. 62, pp. 102099, 2020.

36. C Gururaja, D Rangaprakash, G Deshpande, "Research trends in the application of Yoga to human health: A data science approach", International Journal of Public Mental Health and Neurosciences, vol. 7(1), pp. 8-13, 2020.

37. P Lanka, D Rangaprakash, SSR Gotoor, MN Dretsch, JS Katz, TS Denney, G Deshpande, "MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI data", Data in Brief, vol. 29, pp.105213, 2020.

38. L Lazarowski, AM Thompkins, S Krichbaum, P Waggoner, G Deshpande, JS Katz, "Comparing pet and detection dogs (Canis familiaris) on two aspects of social cognition", Learning & Behavior, vol. 48(4), pp. 432-443, 2020. 

39. F Proessl, MN Dretsch, C Connaboy, M Lovalekar, C Dunn-Lewis, MC Canino, AJ Sterczala, G Deshpande, JS Katz, TS Denney, SD Flanagan, "Structural Covariance Network Disruptions in Military Personnel with Mild Traumatic Brain Injury and Post-Traumatic Stress Disorder", Journal of Neurotrauma, vol. 39(19), pp. 2102-2112, 2020.

40. G Deshpande and H Jia, "Multi-level Clustering of Dynamic Directional Brain Network Patterns and their Behavioral Relevance", Frontiers in Neuroscience, vol. 13, pp. 1448, 2020.

41. MA Syed, Z Yang, D Rangaprakash, X Hu, MN Dretsch, J Katz, TS Denney, G Deshpande, “DisConICA: A Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders”, Neuroinformatics, vol. 18(1), pp. 87-107, 2020.

42. P Lanka, D Rangaprakash, MN Dretsch, JS Katz, TS Denney, G Deshpande, "Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets", Brain Imaging and Behavior, vol.14(6), pp. 2378-2416, 2020.

43. S Zhao, D Rangaprakash, P Liang, G Deshpande, "Deterioration from Healthy to Mild Cognitive Impairment and Alzheimer’s Disease Mirrored in Corresponding Loss of Centrality in Directed Brain Networks", Brain Informatics, vol. 6(1), pp. 8, 2019. doi: 10.1186/s40708-019-0101-x. 

44. D Rangaprakash, MN Dretsch, JS katz, TS Denney, G Deshpande, "Dynamics of Segregation and Integration in Directional Brain Networks: Illustration in Soldiers With PTSD and Neurotrauma", Frontiers in Neuroscience, vol. 13, pp. 803, 2019. doi: 10.3389/fnins.2019.00803

45. L Strassberg, P Waggoner, G Deshpande, J Katz, "Training dogs for awake, unrestrained functional magnetic resonance imaging", Journal of Visualized Experiments, vol. 152, pp. e60192, 2019. doi:10.3791/60192.

46. P Lanka, G Deshpande, "Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in resting state fMRI data", Brain and Behavior, vol. 9(8), pp. e01341, 2019. doi: 10.1002/brb3.1341.

47. M McCormick, VF Reyna, K Ball, JS Katz, G Deshpande, "Neural underpinnings of financial decision bias in older adults: Putative theoretical models and a way to reconcile them", Frontiers in Neuroscience, vol. 13, pp. 184, 2019. doi: 10.3389/fnins.2019.00184.

48. MN Dretsch, D Rangaprakash, JS Katz, TA Daniel, AM Goodman, TS Denney, G Deshpande, "Strength and Temporal Variance of the Default Mode Network to Investigate Chronic Mild Traumatic Brain Injury in Service Members with Psychological Trauma", Journal of Experimental Neuroscience, vol. 13, pp. 1–14, 2019.

49. L Palaniyappan*, G Deshpande*, P Lanka, D Rangaprakash, S Iwabuchi, S Francis, PF Liddle, "Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single subject level", Schizophrenia Research (special issue on applications of machine learning), vol. 214, pp. 24-33, 2019. * Joint first authors

50. MN Dretsch, TA Daniel, AM Goodman, JS Katz, TS Denney, G Deshpande, JL Robinson, "Differential neural activation when voluntarily regulating emotions in service members with chronic mild traumatic brain injury", Applied Neuropsychology,  vol. 26(1), pp. 76-88, 2019.

51. D Martin, KM Townsend, Y Wang, G Deshpande, "Corporate sponsorship in college football: An fMRI study measuring the effectiveness of corporate branding across rival teams", Sports Marketing Quarterly, vol. 28, pp. 209-221, 2019.

52. C Feng, X Feng, L Wang, R Gu, A Ni, G Deshpande, Z Li, Y-J Luo, "The neural signatures of egocentric bias in normative decision making", Brain Imaging and Behavior, vol. 13(3), pp. 685-698, 2019.

53. G Bellucci, T Hahn, G Deshpande, F Krueger, "Functional connectivity of specific resting state networks predicts trust and reciprocity in the trust game", Cognitive Affective and Behavioral Neuroscience, vol. 132(6), pp. 561-572, 2018. 

54. AM Thompkins, B Ramaihgari, S Zhao, SSR Gotoor, P Waggoner, TS Denney, G Deshpande, JS Katz, "Separate brain areas for processing human and dog faces as revealed by awake fMRI in dogs (Canis familiaris)", Learning and Behavior (Special Issue on Canine Cognition), vol. 46(4), pp. 561-573, 2018.

55. MD Wheelock, D Rangaprakash, NG Harnett, KH Wood, TR Orem, S Mrug, DA Granger, G Deshpande, DC Knight, "Psychosocial stress reactivity is associated with decreased whole brain network efficiency and increased amygdala centrality", Behavioral Neuroscience, vol. 132(6), pp. 561-572, 2018.

56. NP Rao*, G Deshpande*, KB Gangadhar, R Arasappa, S Varambally, G Venkatasubramanian, BN Gangadhar, "Directional brain networks underlying OM chanting", Asian Journal of Psychiatry, vol. 37, pp. 20-25, 2018. * Joint first authors.

57. TA Daniel, K Townsend, Y Wang, D Martin, JS Katz, G Deshpande, "North American football fans show neurofunctional differences in response to violence: Implications for public health and policy", Frontiers in Public Health, vol.6, pp. 127, 2018. 

58. J Zhang, T Liu, G Deshpande, "Probabilistic methods in computational neuroscience", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15(2), pp. 535, 2018.

59. W Yan, D Rangaprakash, G Deshpande, "Aberrant hemodynamic responses in Autism: Implications for resting state fMRI functional connectivity studies", NeuroImage: Clinical, vol. 19, pp. 320-330, 2018.

60. X Zhao, D Rangaprakash, TS Denney, JS Katz, MN Dretsch, G Deshpande, "Identifying neuropsychiatric disorders using unsupervised clustering methods: data and code", Data in Brief, vol. 22, pp. 570-573, 2018.  

61. D Rangaprakash, G-R Wu, D Marinazzo, X Hu, G Deshpande, "Hemodynamic response function (HRF) variability confounds resting state fMRI connectivity", Magnetic Resonance in Medicine, vol. 80(4), pp. 1697-1713, 2018.

62. P Lanka, G Deshpande, "Resting state fMRI data from subjects scanned with EPI-PACE (Echoplanar Imaging - Prospective Acquisition CorrEction) sequence", Data in Brief, vol. 20, pp. 2072-2075, 2018.

63. B Ramaihgari, OM Pustovyy, P Waggoner, RJ Beyers, C Wildey, E Morrison, N Salibi, JS Katz, TS Denney, VJ Vodyanoy, G Deshpande, "Zinc nanoparticles enhance brain connectivity in the canine olfactory network: Evidence from an fMRI study in unrestrained awake dogs", Frontiers in Veterinary Science, vol. 5, pp. 127, 2018. 

64. D Rangaprakash, G-R Wu, D Marinazzo, X Hu, G Deshpande, "Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner", Data in Brief, vol. 17, pp. 1175-1179, 2018. 

65. D Rangaprakash, MN Dretsch, A Venkataraman, JS Katz, TS Denney, G Deshpande, "Identifying disease foci from static and dynamic effective connectivity networks: Illustration in Soldiers with trauma", Human Brain Mapping, vol. 39(1), pp. 264-287, 2018. 

66. X Zhao, D Rangaprakash, B Yuan, TS Denney, JS Katz, MN Dretsch, G Deshpande, "Investigating the correspondence of clinical diagnostic grouping with underlying neurobiological and phenotypic clusters using unsupervised machine learning", Frontiers in Applied Mathematics and Statistics, vol. 4, pp. 25, 2018 (doi: 10.3389/fams.2018.00025).

67. W Yan, D Rangaprakash, G Deshpande, "Hemodynamic response function parameters obtained from resting state BOLD fMRI data in subjects with Autism Spectrum Disorder and matched healthy controls", Data in Brief, vol. 14, pp. 558-562, 2017.

68. SP Kyathanahally, Y Wang, V Calhoun, G Deshpande, "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, vol. 11, pp. 74, 2017.

69. D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney, G Deshpande, "Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies", NeuroImage: Clinical, vol. 16, pp. 409-417, 2017. 

70. MN Dretsch, RT Lange, JS Katz, A Goodman, TA Daniel, G Deshpande, TS Denney, GL Iverson, JL Robinson, "Examining microstructural white matter in active duty Soldiers with a history of mild traumatic brain injury and traumatic stress", The Open Neuroimaging Journal, vol. 11, pp. 46-57, 2017. 

71. D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney, G Deshpande, "Hemodynamic response function parameters obtained from resting-state functional MRI data in Soldiers with trauma", Data in Brief, vol. 14, pp. 558-562, 2017.

72. AM Goodman, Y Wang, W Kwon, S Byun, JS Katz, G Deshpande, "Neural Correlates of Consumer Buying Motivations: A 7T functional Magnetic Resonance Imaging (fMRI) Study", Frontiers in Neuroscience, vol. 11, pp. 512, 2017.

73. G Deshpande, P Lanka, S Youngblood, "Artificial Intelligence applications to Military Medicine", Artificial Intelligence and Machine Learning for Defense Applications, pp. 59-70, 2017. 

74. M Syed, Z Yang, X Hu, G Deshpande, "Investigating Brain Connectomic Alterations in Autism using the Reproducibility of Independent Components derived from Resting State functional MRI Data", Frontiers in Neuroscience, vol. 11, pp. 459, 2017. 

75. S Zhao, D Rangaprakash, A Venkataraman, P Liang, G Deshpande, "Investigating Focal Connectivity Deficits in Alzheimer’s Disease using Directional Brain Networks Derived from Resting-State fMRI", Frontiers in Aging Neuroscience, vol. 9, pp. 211, 2017.

76. K Goodyear, R Parasuraman, S Chernyak, E de Visser, P Madhavan, G Deshpande, F Krueger, "An fMRI and effective connectivity study investigating miss errors during advice utilization from human and machine agents", Social Neuroscience, vol. 12(5), pp. 570-581 2017.

77. C Jin, H Jia, P Lanka, D Rangaprakash, L Li, T Liu, X Hu, G Deshpande, "Dynamic brain connectivity is a better predictor of PTSD than static connectivity", Human Brain Mapping, vol. 38(9), pp. 4479-4496, 2017.

78. G Deshpande, D Rangaprakash, L Oeding, A Cichocki, X Hu, "A new generation of brain-computer interfaces driven by discovery of latent EEG-fMRI linkages using tensor decomposition", Frontiers in Neuroscience, vol.11, pp. 246, 2017.

79. D Rangaprakash, G Deshpande, TA Daniel, AM Goodman, JL Robinson, N Salibi, JS Katz, TS Denney, MN Dretsch, "Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild traumatic brain injury and post-traumatic stress disorder", Human Brain Mapping, vol. 38(6), pp. 2843-2864, 2017. 

80. K Sreenivasan, X Zhuang, SJ Banks, V Mishra, Z Yang, G Deshpande, D Cordes, "Olfactory network differences in master sommeliers: Connectivity analysis using Granger causality and graph-theoretic approach", Brain Connectivity, vol. 7(2), pp. 123-136, 2017.

81. Y Wang, S Katwal, B Rogers, J Gore, G Deshpande, "Experimental validation of dynamic Granger causality for inferring stimulus-evoked sub-100 ms timing differences from fMRI", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25(6), pp. 539-546, 2017.

82. G Bellucci, S Chernyak, M Hoffman, G Deshpande, OD Monte, KM Knutson, J Grafman, F Krueger, "Effective connectivity of brain regions underlying third party punishment: functional MRI and Granger causality evidence", Social Neuroscience, vol. 12(2), pp. 124-134, 2017. 

83. Y Wang, O David, X Hu, G Deshpande, "Can Patel's τ accurately estimate directionality of connections in brain networks from fMRI?", Magnetic Resonance in Medicine, vol. 78(5), pp. 2003-2010, 2017.

84. S Lacey, R Stilla, G Deshpande, S Zhao, C Stephens, K McCormick, D Kemmerer, K Sathian, "Engagement of the left extrastriate body area during body-part metaphor comprehension", Brain and Language, vol. 166, pp. 1-18, 2016. 

85. MN Dretsch, KH Wood, TA Daniel, JS Katz, G Deshpande, A Goodman, MD Wheelock, KB Wood, TS Denney, S Traynham, DC Knight, "Exploring the neurocircuitry underpinning predictability of threat in soldiers with PTSD compared to deployment exposed controls", The Open Neuroimaging Journal, vol. 10, pp. 111-124, 2016.

86. JL Robinson, M Baxi, JS Katz, P Waggoner, R Beyers, E Morrison, N Salibi, TS Denney, V Vodyanoy, G Deshpande, "Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging", Nature Scientific Reports, vol. 6, pp. 36851, 2016.

87. K Goodyear, R Parasuraman, S Chernyak, P Madhavan, G Deshpande, F Krueger, "Advice taking from humans and machines: an fMRI and effective connectivity study", Frontiers in Human Neuroscience, vol. 10, pp. 542, 2016. 

88. TA Daniel, MT Davis, TK Witte, RJ Beyers, JZ Willis, Y Wang, TS Denney Jr., JS Katz, N Salibi,                  G Deshpande, "Demonstration and validation of a new pressure-based MRI-safe pain tolerance device", Journal of Neuroscience Methods, vol. 271, pp. 160-168, 2016.

89. G Deshpande, M Baxi, T Witte, JL Robinson, "A neural basis for the acquired capability for suicide", Frontiers in Psychiatry, vol. 7, pp. 125, doi:10.3389/fpsyt.2016.00125, 2016.

90. P Liang*, G Deshpande*, S Zhao, J Liu, X Hu, K Li, "Altered directional connectivity between emotion network and motor network in Parkinson's disease with depression", Medicine, vol. 95(30), pp. e4222, 2016. * joint first authors

91. JL Robinson, N Salibi, G Deshpande, "Functional connectivity of the left and right hippocampus: Evidence for functional lateralization using meta-analytic approaches and ultra-high field functional neuroimaging", NeuroImage, vol. 135, pp. 64-78, 2016.

92. AM Thompkins, G Deshpande, P Waggoner, JS Katz, "Functional magnetic resonance imaging of the domestic dog: Research, methodology and conceptual issues", Comparative Cognition & Behavior Reviews, vol. 11, pp. 63-82, 2016.

93. SP Kyathanahally, A Franco-Watkins, X Zhang, VD Calhoun, G Deshpande, "A realistic framework for investigating decision-making in the brain with high spatio-temporal resolution using simultaneous EEG/fMRI and joint ICA", IEEE Journal of Biomedical and Health Informatics, vol. 21(3), pp. 814-825, 2017 . 

94. V Chattaraman*, G Deshpande*, HJ Kim, KR Sreenivasan, "Form 'defines' function: Neural Connectivity between aesthetic perception and product purchase decisions in an fMRI study", Journal of Consumer Behavior, vol. 15(4), pp. 335-347, 2016. * joint first authors

95. C Feng, G Deshpande, C Liu, R Gu, Y-J Luo, F Krueger, "Diffusion of responsibility attenuates altruistic punishment: A functional magnetic resonance imaging effective connectivity study", Human Brain Mapping, vol. 37(2), pp. 663-77, 2016.

96. BM Hampstead, M Khoshnoodi, W Yan, G Deshpande, K Sathian, "Patterns of effective connectivity between memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults", NeuroImage, vol. 124(A), pp. 997-1008, 2016. 

97. H Jia, OM Pustovyy, Y Wang, P Waggoner, R Beyers, J Schumacher, C Wildey, EE Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande, "Enhancement of odor-induced activity in the canine brain using zinc nanoparticles: A functional MRI study in fully unrestrained conscious dogs", Chemical Senses, vol. 41(1), pp. 53-67, 2016.

98. Y Wang, V Chattaraman, HJ Kim, G Deshpande, "Predicting purchase decisions based on spatio-temporal functional MRI features using machine learning", 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, 2015.

99. LE Libero, TP DeRamus, AC Lahti, G Deshpande, RK Kana, "Multimodal neuroimaging based classification of Autism Spectrum Disorder using anatomical, neurochemical and white matter correlates", Cortex, vol. 66, pp. 46-59, 2015.

100. MM Grant, K Wood, KR Sreenivasan, M Wheelock, D White, J Thomas, DC Knight, G Deshpande, "Influence of early life stress on intra- and extra-amygdaloid causal connectivity", Neuropsychopharmacology, vol. 40(7), pp. 1782-93, 2015.

101. KR Sreenivasan, M Havlicek, G Deshpande, "Non-parametric hemodynamic deconvolution of fMRI using homomorphic filtering", IEEE Transactions on Medical Imaging, vol. 34(5), pp. 1155-63, 2015.

102. G Deshpande, P Wang, D Rangaprakash, B Wilamowski, "Fully connected cascade artificial neural network architecture for attention deficit hyperactivity disorder classification from functional magnetic resonance imaging data", IEEE Transactions on Cybernetics (formerly IEEE Transactions on Systems, Man and Cybernetics: Part B), vol. 45 (12), pp. 2668-2679, 2015.

103. SP Kyathanahally, H Jia, OM Pustovyy, P Waggoner, R Beyers, J Schumacher, J Barrett, EE Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande, "Anterior-posterior dissociation of the default mode network in dogs", Brain Structure and Function, vol. 220(2), pp. 1063-1076, 2015.

104. NL Hutcheson, KR Sreenivasan, G Deshpande, MA Reid, J Hadley, DM White, L Ver Hoef, A Lahti, "Effective connectivity during episodic memory retrieval in Schizophrenia participants before and after antipsychotic medication", Human Brain Mapping, vol. 36(4), pp. 1442-57, 2015.

105. H Jia, X Hu, G Deshpande, "Behavioral relevance of the dynamics of the functional brain connectome", Brain Connectivity, vol. 4(9), pp. 741-759, 2014.

106. MD Wheelock, KR Sreenivasan, KH Wood, LW Ver Hoef, G Deshpande, DC Knight, "Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity", NeuroImage, vol. 102, pp. 904-912, 2014.

107. S Lacey, R Stilla, K Sreenivasan, G Deshpande, K Sathian, "Spatial imagery in haptic shape perception", Neuropsychologia, vol.60, pp. 144-158, 2014.

108. MM Grant, D White, J Hadley, N Hutcheson, R Shelton, K Sreenivasan, G Deshpande, "Early life trauma and directional brain connectivity within major depression", Human Brain Mapping, vol. 35(9), pp. 4815-4826, 2014. 

109. D Kapogiannis, G Deshpande, F Krueger, MP Thornburg, JH Grafman, "Brain Networks Shaping Religious Belief", Brain Connectivity, vol. 4(1), pp. 70-79, 2014.

110. P Liang, Z Li, G Deshpande, Z Wang, X Hu, K Li, "Altered causal connectivity of resting state brain networks in amnesic MCI", PLoS ONE, vol. 9(3), pp. e88476, 2014.

111. H Jia, OM Pustovyy, P Waggoner, R Beyers, J Schumacher, C Wildey, J Barrett, EE Morrison, N Salibi, TS Denney, VJ Vodyanoy, G Deshpande, "Functional MRI of the Olfactory System in Conscious Dogs", PLoS ONE, vol. 9(1), pp. e86362, 2014.

112. WS Randall, DR Nowicki, G Deshpande, RF Lusch, "Converting knowledge into value: Gaining insights from service dominant logic and neuroeconomics",  International Journal of Physical Distribution and Logistics Management, vol. 44(8/9),pp. 655-670, 2014.

113. G Deshpande, L Libero, KR Sreenivasan, H Deshpande, RK Kana, “Identification of neural connectivity signatures of autism using machine learning”, Frontiers in Human Neuroscience, vol.7, pp. 670, 2013.

114. K Sathian, G Deshpande, R Stilla, “Neural changes with tactile learning reflect decision level reweighting of perceptual readout”, Journal of Neuroscience, vol. 33(12), pp. 5387-98, 2013.

115. D Rangaprakash, X Hu, G Deshpande, “Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data”, International Journal of Neural Systems, vol. 23(2), pp. 1350003-14, 2013.

116. G Deshpande, K Sathian, X Hu, JA Buckhalt, “A rigorous approach for testing the constructionist hypotheses of brain function”, Behavioral and Brain Sciences, vol. 35(3), pp. 148, 2012.

117. G Deshpande and X Hu, “Investigating Effective Brain Connectivity from fMRI Data: Past Findings and Current Issues with Reference to Granger Causality Analysis”, Brain Connectivity, vol. 2(5), pp.235, 2012.

118. M Strenziok, F Krueger, G Deshpande, R Lenroot, E van der Meer, J Grafman, “Fronto-Parietal Regulation of Media Violence Exposure in Adolescents: A Multi-Method Study”, Social Cognitive and Affective Neuroscience, vol. 6(5), pp. 537-547, 2011.

119. K Sathian, S Lacey, R Stilla, GO Gibson, G Deshpande, X Hu, S Laconte, C Glielmi, “Dual pathways for haptic and visual perception of spatial and texture information”, NeuroImage, vol. 57(2), pp. 462-475, 2011.

120. F Preusse, E Van der Meer, G Deshpande, F Krueger, I Wartenburger, “Fluid intelligence allows flexible recruitment of the parieto-frontal network in analogical reasoning”, Frontiers in Human Neuroscience, vol. 5, pp. 22, 2011.

121. F Krueger, S Landgraf, E van der Meer, G Deshpande and X Hu, “Effective connectivity of the multiplication network: A functional MRI and multivariate Granger causality mapping study”, Human Brain Mapping, vol. 32(9), pp. 1419-1431, 2011.

122. S Lacey, H Hagtvedt, VM Patrick, A Anderson, R Stilla, G Deshpande, X Hu, JR Sato, S Reddy, K Sathian, “Art for reward’s sake: Visual art recruits the ventral striatum”, NeuroImage, vol. 55(1), pp. 420-433, 2011.

123. BM Hampstead, AY Stringer, RF Stilla, G Deshpande, X Hu, AB Moore, K Sathian, “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, vol. 25(3), pp. 210-222, 2011.

124. G Deshpande, P Santhanam, X Hu, “Instantaneous and causal connectivity in resting state brain networks derived from functional MRI data”, NeuroImage, vol. 54(2), pp. 1043-52, 2011.

125. G Deshpande, X Hu, S Lacey, R Stilla and K Sathian, “Object familiarity modulates effective connectivity during haptic shape perception”, NeuroImage, vol. 49(3), pp. 1991-2000, 2010.

126. G Deshpande, Z Li, P Santhanam, CD Coles, ME Lynch, S Hamann, X Hu, “Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity”, PLoS One, vol. 5(12), pp. e14277, 2010.

127. G Deshpande, K Sathian and X Hu, “Effect of hemodynamic variability on Granger causality analysis of fMRI”, NeuroImage, vol. 52(3), pp. 884-96, 2010.

128. G Deshpande, K Sathian and X Hu, “Assessing and compensating for zero-lag correlation in time-lagged Granger causality analysis of fMRI”, IEEE Transactions on Biomedical Engineering, vol. 57, pp. 1446-1556, 2010.

129. G Deshpande, C Kerssens, P Sebel and X Hu, “Altered Local Coherence in the Default Mode Network due to Sevoflurane Anesthesia”, Brain Research, vol. 1318, pp. 110-121, 2010.

130. G Deshpande, S LaConte, GA James, S Peltier and X Hu, “Multivariate Granger causality analysis of brain networks”, Human Brain Mapping, vol. 30(4), pp. 1361-1373, 2009.

131. R Stilla, R Hanna, E Mariola, G Deshpande, X Hu and K Sathian, “Neural processing underlying tactile microspatial discrimination in the blind: A functional magnetic resonance imaging study”, Journal of Vision, vol. 8(10), pp. 13.1-19, 2008.

132. G Deshpande, X Hu, R Stilla and K Sathian, “Effective Connectivity during Haptic Perception: A study using Granger causality analysis of functional magnetic resonance imaging data”, NeuroImage, vol. 40(4), pp. 1807-14, 2008.

133. R Stilla, G Deshpande, S LaConte, X Hu, K Sathian, “Posteromedial parietal cortical activity and inputs predict tactile spatial acuity”, Journal of Neuroscience, vol. 27(41), pp.  11091-11102, 2007.

134. G Deshpande, S LaConte, S Peltier and X Hu, “Connectivity analysis of human functional MRI data: from linear to nonlinear and static to dynamic”, Lecture Notes in Computer Science, vol. 4091, pp. 17-24, 2006.

135. G Deshpande, S LaConte, S Peltier and X Hu, “Tissue specificity of nonlinear dynamics in baseline fMRI”, Magnetic Resonance in Medicine, vol. 55(3), pp. 626-632, 2006.

136. G Deshpande and A Makur, “A high performance scheme for EEG compression using a multichannel model”, Lecture Notes in Computer Science, vol. 2552, pp. 443-451, 2002.

HONORS AND AWARDS

• • 2024: Outstanding Leadership Award at Health 2.0 Conference

  • 2023: Senior Member, IEEE

  • 2017: OHBM Merit Award

  • 2016: President's outstanding collaborative units award

  • 2013-2017: International society for magnetic resonance in medicine Magna/Summa Cum Laude award

  • 2003: Indian Institute of Science research scholarship

  • 2000: Undergraduate scholarship for academic excellence

MEDIA EXPOSURE

· Autism research: http://www.sciencedaily.com/releases/2013/10/131017114233.htm

· Religion Research: http://www.scienceworldreport.com/articles/12256/20140119/evidence-of-biological-basis-for-religion-in-human-evolution.htm

http://www.wtvm.com/story/24524624/au-researcher-finds-brain-interactions-differ-between-religious-and-non-religious-subjects?autostart=true

PUBLIC SERVICE, PROFESSIONAL SERVICE AND PROFESSIONAL MEMEBERSHIPS

1.       Member

a.       IEEE (Institute of Electrical and Electronics Engineers)

b.      ISMRM (International Society for Magnetic Resonance in Medicine)

c.       OHBM (Organization for Human Brain Mapping)

d.      SNE (Society for Neuroeconomics)

e.      BMES (Biomedical Engineering Society)

f.        CCS (Comparative Cognition Society)

2.       Reviewer for Peer-reviewed Journals

IEEE Transactions on Medical Imaging

IEEE Transactions on Biomedical Engineering

IEEE Journal of Selected Topics in Signal Processing

IEEE Transactions on Neural Systems and Rehabilitation Engineering

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Human Brain Mapping

NeuroImage

Neuroscience Letters

PLoS ONE

PLoS Computational Biology

International Journal of Yoga

Biomedical Signal Processing and Control

International Journal of Neuropsychopharmacology

Brain Connectivity

Behavioral and Brain Sciences

Journal of Neuroscience Methods

Journal of Visualized Experiments

CNS Spectrums

International Journal of Neural systems

Brain Imaging and Behavior

Journal of Neuroimaging

Neuroinformatics

Open Neuroimage Journal

Journal of Magnetic Resonance Imaging

Computers in Biology and Medicine

Journal of Neurological Sciences         

3. Treasurer, Governing Committee of the Detection & Correction of Motion in MRI & MRS Study Group, International Society for Magnetic Resonance in Medicine in 2012-2013           

4. Editorships:

·         Associate Editor, Frontiers in Neuroscience

·         Associate Editor, Frontiers in Human Neuroscience

·         Associate Editor, Frontiers in Neurology

·         Associate Editor, Frontiers in Psychiatry 

·         Founding Editor, AI in Neurology

·         Regional Editor - Americas, Brain Informatics

·         Editor, Medical Diagnostic Methods Journal

·         Managing Editor, Frontiers in Bioscience

·         Guest Editor, IEEE/ACM Transactions on Computational Biology and Bioinformatics

·         Guest Editor, Computational Intelligence and Neuroscience

·         Guest Editor, BioMed Research International

5. Member, International Advisory Board, Bharat University, Chennai, India

CURRENT STUDENTS

Joshita Majumdar

Phuoc Nguyen Hyun

Elnaz Jamshidi

FORMER STUDENTS

Hao Jia (Asst. Prof at Taiyuan University of Technology, China)

Peng Wang

Karthik Ramakrishnan Sreenivasan (Staff Scientist at Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas)

Sreenath Pruthviraj Kyathanahally (Doctoral student at University of Bern, Switzerland)

Yunzhi Wang (Doctoral student at University of Oklahoma)

Madhura Baxi (Doctoral student at Boston University)

Pradyumna Lanka: https://sites.google.com/site/pradyumnalanka/ (PhD Candidate at University of California Merced)

Tuo Shi: https://sites.google.com/site/tuosresumes/

Mohammed Syed: http://www.auburn.edu/~mas0047/ (Boeing)

Yun Wang: https://sites.google.com/site/yun66smile/home (Post-doc at Columbia University)

Wenjing Yan: https://sites.google.com/site/wenjingyan0422/ (Researcher at Beijing Technology and Business University)

Xinyu Zhao: http://xinyu.zhao.gao.io/ (Quora Inc)

Sinan Zhao: http://zsn900503.wix.com/zsnpersonalpage

Ariel Ramsey

Sai Sheshan Roy Gotoor

Bhavitha Ramaihgari

John Zachary Willis

Bowen Yuan

Hao Zou

Bonian Lu

Janzaib Masood