Keyword search (4,163 papers available)

"Magnetic resonance imaging (MRI)" Keyword-tagged Publications:

Title Authors PubMed ID
1 Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H; 37920382
PERFORM
2 A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects Xiao Y; Gilmore G; Kai J; Lau JC; Peters T; Khan AR; 37663773
ENCS
3 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING

 

Title:A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects
Authors:Xiao YGilmore GKai JLau JCPeters TKhan AR
Link:https://pubmed.ncbi.nlm.nih.gov/37663773/
DOI:10.1016/j.dib.2023.109513
Publication:Data in brief
Keywords:AgingAtlasDiffusion MRIMagnetic resonance imaging (MRI)Structural connectivitySubthalamic nucleus
PMID:37663773 Category: Date Added:2023-09-04
Dept Affiliation: ENCS

Description:

Population-averaged brain atlases, that are represented in a standard space with anatomical labels, are instrumental tools in neurosurgical planning and the study of neurodegenerative conditions. Traditional brain atlases are primarily derived from anatomical scans and contain limited information regarding the axonal organization of the white matter. With the advance of diffusion MRI that allows the modeling of fiber orientation distribution (FOD) in the brain tissue, there is an increasing interest for a population-averaged FOD template, especially based on a large healthy aging cohort, to offer structural connectivity information for connectomic surgery and analysis of neurodegeneration. The dataset described in this article contains a set of multi-contrast structural connectomic MRI atlases, including T1w, T2w, and FOD templates, along with the associated whole brain tractograms. The templates were made using multi-contrast group-wise registration based on 3T MRIs of 422 Human Connectome Project in Aging (HCP-A) subjects. To enhance the usability, probabilistic tissue maps and segmentation of 22 subcortical structures are provided. Finally, the subthalamic nucleus shown in the atlas is parcellated into sensorimotor, limbic, and associative sub-regions based on their structural connectivity to facilitate the analysis and planning of deep brain stimulation procedures. The dataset is available on the OSF Repository: https://osf.io/p7syt.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University