Publications

2019

Prediction of Neurocognitive Profiles in Youth From Resting State fMRI. Chandra Sripada,  Saige Rutherford, Mike Angstadt, Wesley K Thompson, Monica Luciana, Alex Weigard, Luke Hyde, Mary Heitzeg. Molecular Psychiatry. https://www.nature.com/articles/s41380-019-0481-6

Brain Network Mechanisms of General Intelligence. Chandra Sripada, Mike Angstadt, Saige Rutherford, Aman Taxali. Preprint: https://www.biorxiv.org/content/biorxiv/early/2019/06/03/657205.full.pdf

Basic Units of Inter-Individual Variation in Resting State Connectomes. Chandra Sripada, Mike Angstadt, Saige Rutherford, Daniel Kessler, Mike Yee, Yura Kim, Liza Levina. Scientific Reports (2019). https://www.nature.com/articles/s41598-018-38406-5

Automated Brain Masking of Fetal Functional MRI Data. Saige Rutherford, Pascal Sturmfels, Mike Angstadt, Jasmine Hect, Marion I van den Heuval, Jenna Wiens, Dustin Scheinost, Moriah Thomason, Chandra Sripada. Preprint: https://www.biorxiv.org/content/10.1101/525386v2.full

2018

Towards a "Treadmill Test" for Cognition: Reliable Prediction of Intelligence From Whole-Brain Task Activation Patterns. Chandra Sripada, Mike Angstadt, Saige Rutherford. Preprint: https://www.biorxiv.org/content/early/2018/09/09/412056

A Domain Guided Architecture for Predicting Age from Structural Brain Images. Pascal Sturmfels, Saige Rutherford, Chandra Sripada, Mike Angstadt, Mark Peterson, Jenna Wiens. Conference paper Machine Learning for Healthcare. Preprint: https://arxiv.org/abs/1808.04362

The "Social Brain" is Highly Sensitive to the Mere Presence of Social Information: An Automated Meta-analysis and an Independent Study. Ivy F. Tso, Saige Rutherford, Yu Fang, Mike Angstadt, Stephan F. Taylor. PLOS ONE. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196503