| Keyword search (4,164 papers available) | ![]() |
"Atlas" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | 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 |
| 2 | Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy | Frauscher B; Bénar CG; Engel JJ; Grova C; Jacobs J; Kahane P; Wiebe S; Zjilmans M; Dubeau F; | 37119580 PERFORM |
| 3 | High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps. | Huck J, Wanner Y, Fan AP, Jäger AT, Grahl S, Schneider U, Villringer A, Steele CJ, Tardif CL, Bazin PL, Gauthier CJ | 31278570 PSYCHOLOGY |
| 4 | A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort. | Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL | 28491942 PERFORM |
| 5 | Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles. | Xiao Y, Fortin M, Battié MC, Rivaz H | 30051147 PERFORM |
| Title: | A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects | ||||
| Authors: | Xiao Y, Gilmore G, Kai J, Lau JC, Peters T, Khan AR | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/37663773/ | ||||
| DOI: | 10.1016/j.dib.2023.109513 | ||||
| Publication: | Data in brief | ||||
| Keywords: | Aging; Atlas; Diffusion MRI; Magnetic resonance imaging (MRI); Structural connectivity; Subthalamic 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. |



