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Updated: Jun 8, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

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

This summary is machine-generated.

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.

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Last Updated: Jun 8, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Published on: July 28, 2013

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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Published on: August 14, 2019

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.