Author

Eric Verner

Georgia Institute of TechnologyORCID 0000-0002-1461-4818Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:experimental assay· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Assay:multiome· 2 Approach:statistical model· 2 Research Focus:database / resource· 1

Frequent Co-Authors

Vince D. CalhouniD· 4 shared Anand D. SarwateiD· 3 shared Harshvardhan GazulaiD· 3 shared Sergey PlisiD· 3 shared Amit Chakrabarti· 2 shared Bharath HollaiD· 2 shared Debasish BasuiD· 2 shared Gareth J. BarkeriD· 2 shared

Activity by Year

2021-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersNeuroscience

Vince D. CalhounORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

BioinformaticsNeuroinformaticsPeer-reviewedNov 25, 2022

Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains

Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla…·Vince D. Calhoun

This study uses federated analysis in COINSTAC to examine functional network connectivity in adolescent brains linked to smoking and alcohol consumption, finding hypoconnectivity and reduced synchronization.

13 citations

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 13, 2022

Machine Learning Predicts Treatment Response in Bipolar & Major Depressive Disorders

Mustafa S. Salman, Eric Verner, H. Jeremy Bockholt…·Vince D. Calhoun

The paper uses a kernel SVM algorithm with neuromark ICA to predict treatment response in bipolar and major depressive disorders with up to 89% accuracy.

DOI 10.1101/2022.05.13.491903

humanimaging

𝕏 PostBluesky

NeuroscienceNeuroinformaticsPeer-reviewedApr 5, 2022

Decentralized Brain Age Estimation using MRI Data

Sunitha Basodi, Rajikha Raja, Bhaskar Ray…·Vince D. Calhoun

This work proposes a decentralized method for brain age estimation using MRI data and shows it achieves similar performance to centralized models.

10 citations

humanmultiome

𝕏 PostBluesky

NeuroscienceNeuroinformaticsPeer-reviewedJan 18, 2021

Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: A COINSTAC analysis

Harshvardhan Gazula, Bharath Holla, Zuo Zhang…·Vince D. Calhoun

This paper uses COINSTAC to perform decentralized VBM analysis on multi-site neuroimaging data to identify age, BMI, and smoking-related structural brain changes.

15 citations

humanmultiome

𝕏 PostBluesky