Theodore J. LaGrow

Altered Attention Network Dynamics in Resting-State fMRI of Individuals with High Smartphone Addiction Scores

The paper examines altered attention network dynamics in resting-state fMRI of individuals with high smartphone addiction scores using dynamic functional connectivity methods.

Investigating White Matter Functional Network Connectivity Across the Alzheimers Disease Spectrum Using Resting-State fMRI

The paper examines changes in white matter functional connectivity across Alzheimer's disease stages using resting-state fMRI data from ADNI, finding early WM-GM dysconnectivity in MCI.

Fidelity of Spatiotemporal Patterns of Brain Activity Across Sampling Rate, Scan Duration, and Frequency Content

This study evaluates how scan duration, TR, and frequency bands affect the reliability of functional connectivity patterns derived from rs-fMRI using QPPs and cPCA.

Spatiotemporal Network Dynamics Reveal Alzheimer's Disease Progression

This study uses QPP and cPCA to analyze spatiotemporal network changes in AD progression, identifying early disruptions in specific brain networks and showing their potential as biomarkers.

Infraslow dynamic patterns in human cortical networks track a spectrum of external to internal attention

This paper analyzes dynamic functional connectivity in fMRI data across attentional tasks to identify a spectrum of network relationships tracking external to internal attention.

QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity

QPPLab detects, analyzes, and visualizes large-scale quasiperiodic spatiotemporal patterns in brain activity, offering customizable tools and automated workflows for diverse datasets.

Evidence for white matter intrinsic connectivity networks at rest and during a task: a large-scale study and templates

The paper presents a WM intrinsic connectivity network template derived from 100,000 fMRI scans, showing distinct WM and GM networks with task-related activity and differences in schizophrenia.

Variation in the Distribution of Large-scale Spatiotemporal Patterns of Activity Across Brain States

The paper examines variations in large-scale spatiotemporal brain activity patterns across different brain states using resting-state fMRI data from humans and rats.

Creative tempo: Spatiotemporal dynamics of the default mode network in improvisational musicians

This study compares two dynamic functional connectivity methods in musicians, finding increased DMN-VIS and DMN-FPN correlations in improvisational musicians, replicating and expanding previous findings.

Toward A Reproducible, Scalable Framework for Processing Large Neuroimaging Datasets

The paper develops a scalable, reproducible framework for processing large neuroimaging datasets using open-source tools and standardized pipelines.

Sparse Recovery Methods for Cell Detection and Layer Estimation

This paper introduces automated methods for detecting cellular layers in brain histology images, showing their feasibility on mouse brain and retina data.