Evaluation of mean shift, ComBat, and CycleGAN for harmonizing brain connectivity matrices across sites
Connectivity matrices derived from diffusion MRI (dMRI) provide an interpretable and
generalizable way of understanding the human brain connectome. However, dMRI suffers …
generalizable way of understanding the human brain connectome. However, dMRI suffers …
Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: A traveling subject study of multi-b acquisition
Abstract Characterization of brain networks by diffusion MRI (dMRI) has rapidly evolved, and
there are ongoing movements toward data sharing and multi-center studies. To extract …
there are ongoing movements toward data sharing and multi-center studies. To extract …
Harmonization of Structural Brain Connectivity through Distribution Matching
The increasing prevalence of multi-site diffusion-weighted magnetic resonance imaging
(dMRI) studies potentially offers enhanced statistical power for investigating brain structure …
(dMRI) studies potentially offers enhanced statistical power for investigating brain structure …
Longitudinal changes of connectomes and graph theory measures in aging
Changes in brain structure and connectivity in aging can be probed through diffusion
weighted MRI and summarized with structural connectome matrices. Complex network …
weighted MRI and summarized with structural connectome matrices. Complex network …
Comparing voxel-and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging
Complex graph theory measures of brain structural connectomes derived from diffusion
weighted images (DWI) provide insight into the network structure of the brain. Further, as the …
weighted images (DWI) provide insight into the network structure of the brain. Further, as the …
Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data
Acquiring resting‐state functional magnetic resonance imaging (fMRI) datasets at multiple
MRI scanners and clinical sites can improve statistical power and generalizability of results …
MRI scanners and clinical sites can improve statistical power and generalizability of results …
Improving the reliability of network metrics in structural brain networks by integrating different network weighting strategies into a single graph
SI Dimitriadis, M Drakesmith, S Bells… - Frontiers in …, 2017 - frontiersin.org
Structural brain networks estimated from diffusion MRI (dMRI) via tractography have been
widely studied in healthy controls and patients with neurological and psychiatric diseases …
widely studied in healthy controls and patients with neurological and psychiatric diseases …
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images
V Roca, G Kuchcinski, JP Pruvo, D Manouvriez… - arXiv preprint arXiv …, 2024 - arxiv.org
In MRI studies, the aggregation of imaging data from multiple acquisition sites enhances
sample size but may introduce site-related variabilities that hinder consistency in …
sample size but may introduce site-related variabilities that hinder consistency in …
Evaluating 35 methods to generate structural connectomes using pairwise classification
There is no consensus on how to construct structural brain networks from diffusion MRI. How
variations in pre-processing steps affect network reliability and its ability to distinguish …
variations in pre-processing steps affect network reliability and its ability to distinguish …
Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
The multiband EPI sequence has been developed for the human connectome project to
accelerate MRI data acquisition. However, no study has yet investigated the test-retest (TRT) …
accelerate MRI data acquisition. However, no study has yet investigated the test-retest (TRT) …