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DiMANI: diffusion MRI for anatomical nuclei imaging--Application for the direct visualization of thalamic subnuclei.

Authors :
Patriat, Rémi
Palnitkar, Tara
Chandrasekaran, Jayashree
Sretavan, Karianne
Braun, Henry
Yacoub, Essa
McGovern III, Robert A.
Aman, Joshua
Cooper, Scott E.
Vitek, Jerrold L.
Harel, Noam
Source :
Frontiers in Human Neuroscience; 2024, p01-14, 14p
Publication Year :
2024

Abstract

The thalamus is a centrally located and heterogeneous brain structure that plays a critical role in various sensory, motor, and cognitive processes. However, visualizing the individual subnuclei of the thalamus using conventional MRI techniques is challenging. This difficulty has posed obstacles in targeting specific subnuclei for clinical interventions such as deep brain stimulation (DBS). In this paper, we present DiMANI, a novel method for directly visualizing the thalamic subnuclei using diffusion MRI (dMRI). The DiMANI contrast is computed by averaging, voxel wise, diffusion-weighted volumes enabling the direct distinction of thalamic subnuclei in individuals. We evaluated the reproducibility of DiMANI through multiple approaches. First, we utilized a unique dataset comprising 8 scans of a single participant collected over a 3-year period. Secondly, we quantitatively assessed manual segmentations of thalamic subnuclei for both intra-rater and inter-rater reliability. Thirdly, we qualitatively correlated DiMANI imaging data from several patients with Essential Tremor with the localization of implanted DBS electrodes and clinical observations. Lastly, we demonstrated that DiMANI can provide similar features at 3T and 7TMRI, using varying numbers of diffusion directions. Our results establish that DiMANI is a reproducible and clinically relevant method to directly visualize thalamic subnuclei. This has significant implications for the development of new DBS targets and the optimization of DBS therapy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16625161
Database :
Complementary Index
Journal :
Frontiers in Human Neuroscience
Publication Type :
Academic Journal
Accession number :
175818858
Full Text :
https://doi.org/10.3389/fnhum.2024.1324710