Author

C.G. Beevers

The University of Texas at AustinORCID 0000-0002-4480-0902Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:multiome· 1

Frequent Co-Authors

David M. SchnyeriD· 2 shared Christopher E. GonzaleziD· 1 shared D.A. PisneriD· 1 shared J. ShumakeiD· 1 shared Peter C. Clasen· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

David M. SchnyerORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 18, 2018

A Reproducible Neurobiology of Depressive Rumination

D.A. Pisner, J. Shumake, C.G. Beevers, David M. Schnyer

This study identifies reproducible microstructural and functional connectivity biomarkers associated with depressive rumination in depressed adults using multimodal MRI.

4 citations

humanmultiome

𝕏 PostBluesky

NeurosciencePsychiatry Research NeuroimagingPeer-reviewedMar 23, 2017

Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder

David M. Schnyer, Peter C. Clasen, Christopher E. Gonzalez, Christopher Graham Beevers

This study uses SVM on diffusion tensor MRI to classify MDD and healthy controls with 70% accuracy, showing predictive information is distributed across brain networks.

70 citationstop 3%

humanimaging

𝕏 PostBluesky