Stephen C. Strother

Amyloid-PET of the white matter: relationship to free water, fiber integrity, and cognition in patients with dementia and small vessel disease

This study examines the relationship between amyloid-PET signals in white matter and microstructural changes like free water and fiber integrity, finding that free water and WMH volume are more closely linked to Aβ-PET in WMH regions.

Visual QC Protocol for FreeSurfer Cortical Parcellations from Anatomical MRI

The paper introduces a visual quality control protocol for FreeSurfer cortical parcellations using VisualQC, showing it effectively detects errors and has reliable inter-rater agreement.

Investigating the Contribution of White Matter Hyperintensities and Cortical Thickness to Empathy in Neurodegenerative and Cerebrovascular Diseases

This study examines the relationship between white matter hyperintensities, cortical thickness, and empathy in neurodegenerative and cerebrovascular diseases, finding associations with specific brain regions and demographic factors.

Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation

This paper introduces a Bayesian 3D U-Net for WMH segmentation that provides uncertainty estimates and is robust to imaging variations, achieving high accuracy and efficiency.

Cerebello-cerebral Functional Connectivity Networks in Major Depressive Disorder: A CAN-BIND-1 Study Report

This study investigates cerebello-cerebral functional connectivity in MDD using resting-state fMRI, finding increased connectivity in the DMN-related cerebellar ROI and between ROI1 and angular gyrus.

Improved segmentation of the intracranial and ventricular volumes in populations with cerebrovascular lesions and atrophy using 3D CNNs

The paper introduces CNN-based models for segmenting intracranial and ventricular volumes in neuroimaging data, showing improved accuracy and efficiency compared to existing methods.

Cortical thickness estimation in individuals with cerebral small vessel disease, focal atrophy, and chronic stroke lesions.

This study improves FreeSurfer's cortical thickness estimation in patients with cerebral small vessel disease and stroke by applying correction procedures, leading to better segmentation and cognitive association results.

Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI methods & outcome measures

This paper describes the neuroimaging pipeline methods used in the ONDRI study to generate regional brain tissue volumes and neurovascular markers from structural MRI data.

Does size matter? The relationship between predictive power of single-subject morphometric networks to spatial scale and edge weight

The paper evaluates how spatial scale and edge weight affect predictive power in morphometric brain networks across datasets and finds no significant impact of nodal size on performance.

Generalization of the minimum covariance determinant algorithm for categorical and mixed data types

This paper generalizes the MCD algorithm for categorical and mixed data using correspondence analysis, demonstrating its application on neuroimaging and genetics data.

An overview of the quality assurance and quality control of magnetic resonance imaging data for the Ontario Neurodegenerative Disease Research Initiative (ONDRI): pipeline development and neuroinformatics

The paper describes the quality assurance and quality control pipeline for multi-site MRI data in the ONDRI study, ensuring standardized data collection and high image quality.

BIDS Apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

This paper introduces BIDS Apps, a framework for creating portable neuroimaging analysis tools compatible with BIDS data, improving reproducibility and ease of use.