David A. O’Connor

This study uses dynamic functional connectivity to identify brain states related to behavior and traits, finding that aggregated data across scans performs better than isolated time points for trait prediction.

The paper uses Ca2+ imaging and fMRI-BOLD in mice to compare functional network organization, finding overlapping but distinct patterns between modalities.

The paper uses fMRI to track functional connectivity changes in a mouse model of Alzheimer's disease over time and shows that mGluR5 modulator treatment reverses these deficits.

This study shows PTEN mutations cause ventriculomegaly and cortical network dysfunction through neural precursor and interneuron dysregulation, with mTORC1 inhibition offering therapeutic potential.

The paper introduces a pipeline for analyzing widefield calcium imaging data and shows how functional network properties differ with wakefulness and across cell types.

This study investigates how arousal levels affect brain network integration using resting state fMRI and pupillometry, showing decreased integration and variability at low arousal.

This paper uses bootstrap aggregating (bagging) to improve the generalizability of predictive models of fluid intelligence from functional connectivity data across different datasets.

The paper provides a resource to evaluate test-retest reliability of functional connectivity across different scan conditions and sessions in a healthy brain network.