Andrew Chen

Contributions of Site Heterogeneity in Multi-site Brain-Phenotype Predictions

This paper evaluates how site heterogeneity affects brain-phenotype predictions in multi-site data, finding that larger sample sizes improve accuracy more than multi-site composition.

Imputation-Based Harmonization Mitigates Site Effects Without Data Leakage in Machine Learning Studies

The paper introduces MIRTH, an imputation-based harmonization method that mitigates site effects in neuroimaging data without data leakage, achieving high predictive accuracy in machine learning studies.

Quantifying Uncertainty in Brain Age Predictions via Conformal Prediction

This paper introduces brain age intervals (BAIs) as a method to quantify uncertainty in brain age predictions using conformal prediction, showing stable coverage and highlighting the need for larger samples.

Reward history guides focal attention in whisker somatosensory cortex

The paper shows that mice shift attention between whiskers based on recent reward history, with specific neural correlates in the somatosensory cortex.

VIP interneurons in mouse whisker S1 exhibit sensory and action-related signals during goal-directed behavior

The paper identifies that VIP interneurons in mouse whisker S1 are activated by both whisker stimuli and goal-directed licking during a Go/NoGo task.

Room Temperature Isothermal Colorimetric Padlock Probe Rolling Circle Amplification for Viral RNA Detection

This paper introduces a rapid, colorimetric, room-temperature viral RNA detection method using modified rolling circle amplification, showing high sensitivity and strain differentiation for SARS-CoV-2 and influenza viruses.