Anjali Krishnan, Ph.D.
Affiliations: | Applied Cognition and Neuroscience | University of Texas at Dallas, Richardson, TX, United States |
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Parents
Sign in to add mentor| Herve Abdi | grad student | 2011 | UT Dallas | |
| (Can we go the distance to predict how the brain represents the world? A distance-based partial least squares regression approach.) | ||||
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Publications
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| Geuter S, Reynolds Losin EA, Roy M, et al. (2020) Multiple Brain Networks Mediating Stimulus-Pain Relationships in Humans. Cerebral Cortex (New York, N.Y. : 1991) |
| Yu H, Koban L, Chang LJ, et al. (2020) A Generalizable Multivariate Brain Pattern for Interpersonal Guilt. Cerebral Cortex (New York, N.Y. : 1991) |
| Calhoun VD, Wager TD, Krishnan A, et al. (2017) The impact of T1 versus EPI spatial normalization templates for fMRI data analyses. Human Brain Mapping |
| Woo CW, Schmidt L, Krishnan A, et al. (2017) Quantifying cerebral contributions to pain beyond nociception. Nature Communications. 8: 14211 |
| Krishnan A, Woo CW, Chang LJ, et al. (2016) Somatic and vicarious pain are represented by dissociable multivariate brain patterns. Elife. 5 |
| Krishnan A, Woo C, Chang LJ, et al. (2016) Author response: Somatic and vicarious pain are represented by dissociable multivariate brain patterns Elife |
| Lindquist MA, Krishnan A, Lopez-Sola M, et al. (2015) Group-regularized individual prediction: theory and application to pain. Neuroimage |
| Chang LJ, Gianaros PJ, Manuck SB, et al. (2015) A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect. Plos Biology. 13: e1002180 |
| Woo CW, Krishnan A, Wager TD. (2014) Cluster-extent based thresholding in fMRI analyses: pitfalls and recommendations. Neuroimage. 91: 412-9 |
| Krishnan A, Kriegeskorte N, Abdi H. (2013) Distance-Based Partial Least Squares Analysis Springer Proceedings in Mathematics and Statistics. 56: 131-145 |