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Gopikrishna Deshpande

Gopikrishna Deshpande

D-Index & Metrics

Neuroscience

D-Index
47
Citations
6693
World Ranking
6527
National Ranking
2829

Overview

Gopikrishna Deshpande is affiliated with Auburn University in the United States. Their research spans multiple areas in neuroscience and medicine, with a focus on cognitive neuroscience and advanced neuroimaging techniques.

The main fields of study for Deshpande include:

  • Neuroscience
  • Medicine

The subfields of study covered in their work are:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Social Psychology
  • Experimental and Cognitive Psychology
  • Genetics

Deshpande's research focuses on several topics, primarily related to brain function and connectivity. These include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Advanced MRI Techniques and Applications
  • Human-Animal Interaction Studies
  • Neuroendocrine regulation and behavior
  • Advanced Neuroimaging Techniques and Applications

They have contributed papers to multiple publication venues, frequently appearing in:

  • Frontiers in Neuroscience
  • Preprints.org
  • Brain Sciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine

Some recent publications include:

  • Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework, 2020, Biomedical Signal Processing and Control
  • Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset, 2021, IEEE Transactions on Biomedical Engineering
  • Extra-Virgin Olive Oil Enhances the Blood-Brain Barrier Function in Mild Cognitive Impairment: A Randomized Controlled Trial, 2022, Nutrients
  • Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review, 2021, Animal Cognition
  • FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response, 2020, Brain Imaging and Behavior

Frequent collaborators in Deshpande's research include:

  • D. Rangaprakash
  • Thomas S. Denney
  • Jeffrey S. Katz
  • Nguyen Huynh
  • Michael N. Dretsch

Best Publications

  • Multivariate Granger causality analysis of fMRI data.

    Gopikrishna Deshpande;Stephan LaConte;George Andrew James;Scott Peltier

  • Art for Reward's Sake: Visual Art Recruits the Ventral Striatum

    Simon A Lacey;Henrik Hagtvedt;Vanessa M. Patrick;Amy Anderson

  • Effect of hemodynamic variability on Granger causality analysis of fMRI

    Gopikrishna Deshpande;Krish Sathian;Xiaoping Hu

  • Identification of neural connectivity signatures of autism using machine learning.

    Gopikrishna Deshpande;Lauren Libero;Karthik Ramakrishnan Sreenivasan;Hrishikesh Deshpande

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

    Gopikrishna Deshpande;Priya Santhanam;Xiaoping Hu

  • Effective connectivity during haptic perception: A study using Granger causality analysis of functional magnetic resonance imaging data

    Gopikrishna Deshpande;Xiaoping P Hu;Randall Stilla;Krish Sathian

  • Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data

    Gopikrishna Deshpande;Peng Wang;D. Rangaprakash;Bogdan Wilamowski

  • Activation and Effective Connectivity Changes Following Explicit-Memory Training for Face–Name Pairs in Patients With Mild Cognitive Impairment: A Pilot Study

    Benjamin Hampstead;Anthony Stringer;Randall F. Stilla;Gopikrishna Deshpande

  • Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates.

    Lauren E. Libero;Thomas P. DeRamus;Adrienne C. Lahti;Gopikrishna Deshpande

  • DUAL PATHWAYS FOR HAPTIC AND VISUAL PERCEPTION OF SPATIAL AND TEXTURE INFORMATION

    Krish Sathian;Simon A Lacey;Randall Stilla;Gregory C. Gibson

  • Dynamic brain connectivity is a better predictor of PTSD than static connectivity.

    Changfeng Jin;Hao Jia;Pradyumna Lanka;D Rangaprakash

  • Behavioral relevance of the dynamics of the functional brain connectome.

    Hao Jia;Xiaoping Hu;Gopikrishna Deshpande

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

    Gopikrishna Deshpande;Xiaoping P Hu

  • Integrated local correlation: A new measure of local coherence in fMRI data

    Gopikrishna Deshpande;Stephen LaConte;Scott Peltier;Xiaoping Hu

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

    D. Rangaprakash;Guo‐Rong Wu;Daniele Marinazzo;Xiaoping Hu

  • Object familiarity modulates effective connectivity during haptic shape perception.

    Gopikrishna Deshpande;Xiaoping P Hu;Simon A Lacey;Randall Stilla

  • Fluid Intelligence Allows Flexible Recruitment of the Parieto-Frontal Network in Analogical Reasoning

    Franziska Preusse;van der Meer Elke;Gopikrishna Deshpande;Frank Krueger

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

    D. Rangaprakash;Gopikrishna Deshpande;Thomas A. Daniel;Adam M. Goodman

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

    Gopikrishna Deshpande;Chantal Kerssens;Peter Simon Sebel;Xiaoping Hu

  • Posteromedial parietal cortical activity and inputs predict tactile spatial acuity

    Randall Stilla;Gopikrishna Deshpande;Stephen LaConte;Xiaoping Hu

  • Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework

    N. Chaitra;N. Chaitra;P.A. Vijaya;P.A. Vijaya;Gopikrishna Deshpande

Frequent Co-Authors

Xiaoping Hu
Xiaoping Hu University of California, Riverside
Krish Sathian
Krish Sathian Pennsylvania State University
Frank Krueger
Frank Krueger George Mason University
Jennifer L. Robinson
Jennifer L. Robinson Auburn University
Kuncheng Li
Kuncheng Li Capital Medical University
Lena Palaniyappan
Lena Palaniyappan McGill University
Jordan Grafman
Jordan Grafman Northwestern University
Yuejia Luo
Yuejia Luo Shenzhen University
Isabell Wartenburger
Isabell Wartenburger University of Potsdam
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute

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