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An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis

Authors :
Jean-Jacques Lemaire
Rémi Chaix
Aigerim Dautkulova
Anna Sontheimer
Jérôme Coste
Ana-Raquel Marques
Adrien Wohrer
Carine Chassain
Omar Ouachikh
Omar Ait-Ader
Denys Fontaine
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Understanding the architecture of the human deep brain is especially challenging because of the complex organization of the nuclei and fascicles that support most sensorimotor and behaviour controls. There are scant dedicated tools to explore and analyse this region. Here we took a transdisciplinary approach to build a new deep-brain MRI architecture atlas drawing on advanced clinical experience of MRI-based deep brain mapping. This new tool comprises a young-male-adult MRI template spatially normalized to the ICBM152, containing T1, inversion-recovery, and diffusion MRI datasets (in vivo acquisition), and an MRI atlas of 118 labelled deep brain structures. It is open-source and gives users high resolution image datasets to describe nuclear-based and axonal architecture, combining pioneering and recent knowledge. It is a useful addition to current 3D atlases and clinical tools.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463 and 84212632
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.4e66c321637d437a85fd84212632f2b8
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-024-04053-x