Author

A. Belger

University of North Carolina at Chapel Hill

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

A. Iraji· 1 shared Adrian PredaiD· 1 shared Bryon A. MuelleriD· 1 shared Daniel H. MathaloniD· 1 shared Eswar DamarajuiD· 1 shared F. Hawamdeh· 1 shared G. D. Pearlson· 1 shared Jessica A. TurneriD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

A. Iraji

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Author profile →

2 papers

Recent·Most cited

Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studies

Rogers F. Silva, Eswar Damaraju, Xinhui Li, Peter V Kochunov, A. Belger, Judith M. Ford, Daniel H. Mathalon, Bryon A. Mueller, Steven G. Potkin, Adrian Preda, Jessica A. Turner, Theo G.M. van Erp, Tülay Adalı, Vince D. Calhoun

This paper develops a method to detect linked features across neuroimaging modalities and identifies markers related to age, sex, cognition, and schizophrenia in large datasets.

Human Brain Mapping · Nov 19, 2024Peer-reviewedNeuroscience

A spatially constrained independent component analysis jointly informed by structural and functional network connectivity

M. Fouladivanda, A. Iraji, L. Wu, T. G. M. van Erp, A. Belger, F. Hawamdeh, G. D. Pearlson, V. D. Calhoun

This paper introduces sfCICA, a multi-modal ICA model combining structural and functional brain connectivity to estimate ICNs, showing improved modularity and network distinction in schizophrenia.

bioRxiv · Aug 13, 2023Bioengineering