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

Autor: 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
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Druh dokumentu: article
ISSN: 2052-4463
84212632
DOI: 10.1038/s41597-024-04053-x
Popis: 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.
Databáze: Directory of Open Access Journals
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