Corey L. Horien

This study examines insula functional connectivity development across 562 individuals, showing spatially heterogeneous changes aligned with an antero-posterior axis.

The paper investigates the neural origins of quasi-periodic patterns in resting-state fMRI using combined calcium imaging and fMRI, finding a time-locked correlation between neural activity and BOLD signals.

The paper uses simultaneous calcium imaging and fMRI in mice to identify cell-type specific signals in the brain with high spatiotemporal resolution.

The paper shows brain-handedness associations vary based on how and when handedness is measured, using two large datasets.

The paper shows that overlooked brain connectivity features can yield different neurobiological interpretations with similar prediction accuracy in neuroimaging studies.

The paper uses whole-brain functional connectivity to predict regional tau PET in preclinical Alzheimer's disease, finding it outperforms amyloid PET models and generalizes to a clinical dataset in tau-elevated individuals.

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 examines amygdalar tau binding and connectivity in preclinical Alzheimer's disease, finding associations with anxiety symptoms.

The paper uses connectome-based predictive modeling to show sex differences in brain network predictors of memory performance, with women relying more on the default mode network and men on visual networks.

The paper examines sex differences in default mode network connectivity across aging adults, finding age-related changes in women that resemble preclinical Alzheimer's disease patterns.

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

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

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

StandardRat improves functional connectivity specificity in rat brains through a standardized MRI protocol tested across 20 centers.

The paper develops predictive models of substance use vulnerability in children using behavioral and brain data from the ABCD study, identifying risk-seeking and familial factors as key predictors.

This study identifies a dichotomic hypo-connected resting and hyper-responsive active phenotype in a mouse model of early tauopathy, with implications for Alzheimer's disease.

The paper describes a pre- and in-scan system to reduce head motion in pediatric fMRI scans, showing improved motion control with formal mock scans.

The paper shows that individual functional connectomes, derived from resting-state fMRI, are unique and stable over months to years across different age groups.