Undergraduates join real neuroscience projects: analyzing data, writing, building posters, and publishing together.
bioRxiv preprint, May 2026
Zimmerman K, Mahajan S, Sayadyan D, Peralta R, Tameze P, Gonzalez M, Oushana L, Thunga S, St. Clair N.
Evaluates whether Clinical Dementia Rating groups in OASIS-1 separate meaningfully by regional brain volume, and the limits of volumetric biomarkers when diagnostic categories overlap.
bioRxiv preprint, November 2025
Oushana L, Mahajan S, Leung C, Srinivas C, Zhou F, St. Clair N.
Uses EEG signal processing to test whether isolating posterior cortical channels improves detection of alpha-band changes over time.
PsyArXiv poster preprint
St. Clair N, Heeter J, Oushana L.
Maps region-specific atrophy across clinically distinct Alzheimer's disease stages using NACC structural MRI data.
Members work across computational neuroscience, neuroimaging, electrophysiology, and translational questions.
Published preprint
Alpha-band power changes across posterior cortical regions, studied with public electrophysiology datasets and reproducible signal-processing pipelines.
Active
Structural MRI markers of neurodegeneration, including hippocampal, amygdala, cortical, and ventricular changes across Alzheimer's disease staging.
Active
How diagnostic threshold selection shapes structural biomarker interpretation. Members analyze regional atrophy, phenotype heterogeneity, and group differences in OASIS and NACC MRI data.
Step 1
Read primary neuroscience literature and the biology behind each project.
Step 2
Process neural datasets and make figures with Python, MATLAB, and statistical tools.
Step 3
Turn findings into posters, talks, and conference-style summaries.
Step 4
Develop advanced projects into preprints, manuscripts, or public reports.
We welcome students interested in neuroscience, medicine, coding, data analysis, and science communication.
