Ganesh Chand
Ganesh Chand
Washington University School of Medicine in St. Louis, Department of Radiology
Verified email at wustl.edu
Title
Cited by
Cited by
Year
Interactions of the salience network and its subsystems with the default-mode and the central-executive networks in normal aging and mild cognitive impairment
G Chand, J Wu, I Hajjar, D Qiu
Brain Connectivity 7 (doi: 10.1089/brain.2017.0509), 401-412, 2017
332017
Interactions among the brain default-mode, salience and central-executive networks during perceptual decision-making of moving dots
G Chand, M Dhamala
Brain Connectivity 6 (10.1089/brain.2015.0379), 249-254, 2016
322016
The salience network dynamics in perceptual decision-making
G Chand, M Dhamala
NeuroImage 134 (doi: 10.1016/j.neuroimage.2016.04.018), 85-93, 2016
302016
Interactions between the anterior cingulate-insula network and the fronto-parietal network during perceptual decision-making
G Chand, M Dhamala
NeuroImage 152 (doi: 10.1016/j.neuroimage.2017.03.014), 381-389, 2017
162017
Face or house image perception: beta and gamma bands of oscillations in brain networks carry out decision-making
G Chand, B Lamichhane, M Dhamala
Brain Connectivity 6 (doi:10.1089/brain.2016.0421), 621-631, 2016
92016
Racial differences in insular connectivity and thickness and related cognitive impairment in hypertension
G Chand, J Wu, D Qiu, I Hajjar
Frontiers in Aging Neuroscience 9 (doi: 10.3389/fnagi.2017.00177), 2017
62017
Neurostructural Heterogeneity in Youths With Internalizing Symptoms
AN Kaczkurkin, A Sotiras, EB Baller, R Barzilay, ME Calkins, GB Chand, ...
Biological Psychiatry, 2019
52019
Spectral factorization-based current source density analysis of ongoing neural oscillations
G Chand, M Dhamala
Journal of Neuroscience Methods 224, 58-65, 2014
52014
Interactions of insula subdivisions-based networks with default-mode and central-executive networks in mild cognitive impairment
G Chand, J Wu, I Hajjar, D Qiu
Frontiers in Aging Neuroscience 9 (doi: 10.3389/fnagi.2017.00367), 2017
42017
Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning
GB Chand, DB Dwyer, G Erus, A Sotiras, E Varol, D Srinivasan, J Doshi, ...
Brain 143 (3), 1027-1038, 2020
32020
Disrupted interactions among the hippocampal, dorsal attention, and central‐executive networks in amnestic mild cognitive impairment
G Chand, I Hajjar, D Qiu
Human Brain Mapping, 2018
22018
Two Neuroanatomical Subtypes of Schizophrenia Defined by Multi-Site Machine Learning
D Wolf, G Chand, D Dwyer, G Erus, A Sotiras, E Varol, D Srinivasan, ...
Biological Psychiatry 87 (9), 2020
2020
Neurostructural Heterogeneity in Youth With Internalizing Symptoms
A Kaczkurkin, A Sotiras, E Baller, R Barzilay, ME Calkins, G Chand, Z Cui, ...
Biological Psychiatry 87 (9), 2020
2020
Neuroanatomical Dimensional Phenotypes of Schizophrenia: Expression in Youth With Psychosis-Spectrum Symptoms and Correlation With Cognition
G Chand, DH Wolf, G Erus, D Srinivasan, DB Dwyer, R Pomponio, ...
Biological Psychiatry 87 (9), 2020
2020
Estimating regional cerebral blood flow using resting-state functional MRI via machine learning
GB Chand, M Habes, S Dolui, JA Detre, DA Wolk, C Davatzikos
Journal of Neuroscience Methods 331, 108528, 2020
2020
Neuroanatomical Heterogeneity of Schizophrenia Quantified via Semi-Supervised Machine Learning Reveals Two Distinct Subtypes: Results From the PHENOM Consortium
G Chand, DB Dwyer, G Erus, A Sotiras, E Varol, D Srinivasan, RC Gur, ...
Biological Psychiatry 85 (10), 2019
2019
Multivariate Pattern Analysis Reveals Structural Brain Network Abnormalities in Schizophrenia
A Sotiras, G Erus, M Truelove-Hill, A Kaczkurkin, G Chand, C Sako, ...
Biological Psychiatry 85 (10), 2019
2019
Oscillatory Network Dynamics in Perceptual Decision-Making
G Chand
http://scholarworks.gsu.edu/phy_astr_diss/79, 2015
2015
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Articles 1–18