Author

David M. Schnyer

The University of Texas at AustinORCID 0000-0002-7472-2853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Christopher Graham BeeversiD· 2 shared Adam R. FergusoniD· 1 shared Alastair J. MartiniD· 1 shared Alex B. ValadkaiD· 1 shared Allison A. StevensiD· 1 shared Amber NolaniD· 1 shared Amy J. MarkowitziD· 1 shared Andre J. W. van der KouweiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Christopher Graham BeeversORCID

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3 papers

Recent·Most cited

Tractography-Pathology Correlations in Traumatic Brain Injury: A TRACK-TBI Study

Amber Nolan, Cathrine Petersen, Diego Iacono, Christine L. Mac Donald, Pratik Mukherjee, Andre J. W. van der Kouwe, Sonia Jain, Allison A. Stevens, Bram R. Diamond, Ruopeng Wang, Amy J. Markowitz, Bruce R. Fischl, Daniel P. Perl, Geoffrey T. Manley, Christopher Dirk Keene, , ROSS D. ZAFONTE

This study uses ex vivo diffusion MRI and histopathology to correlate tract disruptions with axonal injury in a TBI patient.

Journal of Neurotrauma · Jan 8, 2021Peer-reviewedNeuroscience

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.

bioRxiv · Nov 18, 2018 · PreprintNeuroscience

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.

Psychiatry Research Neuroimaging · Mar 23, 2017Peer-reviewedNeuroscience