David Schnyer
Affiliations: | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
memory, fMRIGoogle:
"David Schnyer"Mean distance: 16.55 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentorJohn J. B. Allen | grad student | UT Austin | |
Alfred W. Kaszniak | grad student | University of Arizona (PsychTree) |
Children
Sign in to add traineeLyndsey Juliane Chong | research assistant | (PsychTree) | |
Sarah (Sadie) J. Witkowski | research assistant | 2011-2014 | UT Austin |
Peter clasen | grad student | UT Austin | |
Stephanie M. Sherman | grad student | UT Austin | |
Manish Saggar | grad student | 2005-2011 | UT Austin |
Jennifer Pacheco | grad student | 2007-2011 | NIH/NIMH |
Guadalupe Gonzalez | grad student | 2015-2020 | Allegheny College |
Logan T. Trujillo | post-doc | Texas State, San Marcos | |
Congyu Peter Wu | post-doc | 2019- | UT Austin |
Kimberly Ray | research scientist | 2019- | UT Austin |
Collaborators
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Publications
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Ray KL, Griffin NR, Shumake J, et al. (2023) Altered electroencephalography resting state network coherence in remitted MDD. Brain Research. 148282 |
Wu C, McMahon M, Fritz H, et al. (2022) circadian rhythms are not captured equal: Exploring Circadian metrics extracted by differentcomputational methods from smartphone accelerometer and GPS sensors in daily life tracking. Digital Health. 8: 20552076221114201 |
Don HJ, Davis T, Ray KL, et al. (2022) Neural regions associated with gain-loss frequency and average reward in older and younger adults. Neurobiology of Aging. 109: 247-258 |
Wu C, Fritz H, Bastami S, et al. (2021) Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts. Gigascience. 10 |
Hsu KJ, McNamara ME, Shumake J, et al. (2020) Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: A data-driven approach. Depression and Anxiety |
Gonzalez GDS, Schnyer DM. (2018) Attention and Working Memory Biases to Black and Asian Faces During Intergroup Contexts. Frontiers in Psychology. 9: 2743 |
Hsu KJ, Caffey K, Pisner D, et al. (2018) Attentional bias modification treatment for depression: Study protocol for a randomized controlled trial. Contemporary Clinical Trials. 75: 59-66 |
Dainer-Best J, Trujillo LT, Schnyer DM, et al. (2017) Sustained Engagement of Attention is Associated with Increased Negative Self-Referent Processing in Major Depressive Disorder. Biological Psychology |
Schnyer DM, Clasen PC, Gonzalez C, et al. (2017) Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder. Psychiatry Research. 264: 1-9 |
Goldwater MB, Markman AB, Trujillo LT, et al. (2015) Licensing Novel Role-Governed Categories: An ERP Analysis. Frontiers in Human Neuroscience. 9: 633 |