Peter T. Fox

Hidden Markov Modeling Reveals Altered Functional Network Dynamics in Multiple Sclerosis

This study uses hidden Markov modeling to analyze dynamic functional connectivity in MS patients, finding altered state occupancy and transitions associated with disability and cognition.

A Bias-Accounting Meta-Analytic Approach Refines and Expands the Cerebellar Behavioral Topography

This paper introduces a new meta-analytic method to improve cerebellar mapping specificity and shows 54 behavioral terms converge to specific cerebellar subregions.

Advancing Fair and Explainable Machine Learning for Neuroimaging Dementia Pattern Classification in Multi-Ethnic Populations

This study addresses dementia classification bias across ethnic groups using few-shot learning and domain alignment, reducing performance gaps between White American and Hispanic cohorts.

A minimum Bayes Factor based threshold for activation likelihood estimation

The paper introduces a Bayesian thresholding method for activation likelihood estimation (ALE) and demonstrates its equivalence to frequentist thresholds, showing that lower Bayesian thresholds are statistically valid but indicate weaker hypothesis support.

Estimating the prevalence of missing experiments in a neuroimaging meta-analysis

The paper estimates the prevalence of missing non-significant experiments in a neuroimaging meta-analysis using a zero-truncated model applied to BrainMap data.

Brain-based ranking of cognitive domains to predict schizophrenia

The paper uses machine learning to rank cognitive domains based on brain data to predict schizophrenia in a multi-site dataset.

Beyond Consensus: Embracing Heterogeneity in Curated Neuroimaging Meta-Analysis

This paper applies an author-topic model to ALE-type meta-analyses to explore heterogeneity, revealing functional sub-domains and task-dependent co-activation patterns.

Addressing reverse inference in structural brain alterations

The paper uses Bayes factor analysis on voxel-based morphometry data to assess the specificity of brain alterations in schizophrenia and Alzheimer's disease, finding that more disease-specific areas are altered earlier.

Reduced Salience and Enhanced Central Executive Connectivity Following PTSD Treatment

This study examines changes in brain connectivity in PTSD patients after treatment, finding reduced salience network connectivity with PCT and increased central executive network connectivity with CPT.

Salience Network Disruption in US Army Soldiers with PTSD

This study identifies increased salience network connectivity in PTSD using a graph-based topological measure of nodal strength in US Army soldiers.

Do Candidate Genes Affect the Brain’s White Matter Microstructure? Large-Scale Evaluation of 6,165 Diffusion MRI Scans

The paper evaluates 15 candidate SNPs associated with psychiatric disorders using 6,165 diffusion MRI scans, finding no significant associations after correction for multiple testing.