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An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis
Jean-Jacques Lemaire1, Rémi Chaix2, Aigerim Dautkulova3
1Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, F-63000, Clermont-Ferrand, France. jjlemaire@chu-clermontferrand.fr.
Scientific Data
|November 2, 2024
Summary
A new open-source deep brain MRI atlas offers high-resolution datasets for exploring human brain architecture. This tool aids in understanding sensorimotor and behavior controls by detailing nuclear and axonal structures.
Area of Science:
- Neuroimaging
- Human Anatomy
- Medical Imaging
Background:
- Deep brain structures are complex, challenging to study due to intricate nuclei and fascicles.
- Existing tools for deep brain exploration and analysis are limited.
- Sensorimotor and behavior controls heavily rely on deep brain organization.
Purpose of the Study:
- To develop a novel, open-source deep brain Magnetic Resonance Imaging (MRI) architecture atlas.
- To provide advanced tools for exploring and analyzing the human deep brain.
- To integrate clinical experience with MRI-based deep brain mapping.
Main Methods:
- Utilized a transdisciplinary approach combining clinical expertise and MRI techniques.
- Created a young-male-adult MRI template, spatially normalized to the ICBM152.
- Acquired in vivo T1, inversion-recovery, and diffusion MRI datasets.
- Developed an MRI atlas labeling 118 deep brain structures.
Main Results:
- Introduced a new MRI atlas with 118 labeled deep brain structures.
- Provided high-resolution image datasets for nuclear and axonal architecture.
- Integrated pioneering and recent knowledge into the atlas.
- The atlas is open-source and readily accessible.
Conclusions:
- The new deep brain MRI atlas is a valuable resource for neuroscience research.
- It enhances the understanding of deep brain nuclear and axonal architecture.
- This tool complements existing 3D atlases and clinical applications.

