Vince D Calhoun

Affiliations: 
Electrical Engineering University of New Mexico, Albuquerque, NM, United States 
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Wang W, Xiao L, Qu G, et al. (2024) Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Analysis. 94: 103144
Jensen KM, Calhoun VD, Fu Z, et al. (2024) A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry. Neuroimage. Clinical. 41: 103584
Lamsma J, Raine A, Kia SM, et al. (2024) Structural brain abnormalities and aggressive behaviour in schizophrenia: Mega-analysis of data from 2095 patients and 2861 healthy controls via the ENIGMA consortium. Medrxiv : the Preprint Server For Health Sciences
Belyaeva I, Gabrielson B, Wang YP, et al. (2024) Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. Ieee Transactions On Bio-Medical Engineering
Georgiadis F, Larivière S, Glahn D, et al. (2024) Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study. Molecular Psychiatry
Li Q, Calhoun VD, Iraji A. (2024) Revealing complex functional topology brain network correspondences between humans and marmosets. Neuroscience Letters. 822: 137624
Lin D, Fu Z, Liu J, et al. (2023) Association between the oral microbiome and brain resting state connectivity in schizophrenia. Biorxiv : the Preprint Server For Biology
Itkyal VS, Abrol A, LaGrow TJ, et al. (2023) Voxel-wise Fusion of Resting fMRI Networks and Gray Matter Volume for Alzheimer's Disease Classification using Deep Multimodal Learning. Research Square
Li WX, Lin QH, Zhao BH, et al. (2023) Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia. Journal of Neuroscience Methods. 110049
Ji Y, Pearlson G, Bustillo J, et al. (2023) Identifying psychosis subtypes use individualized covariance structural differential networks and multi-site clustering. Schizophrenia Research. 264: 130-139
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