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In Vivo Super-Resolution Track-Density Imaging for Thalamic Nuclei Identification.

Authors :
Basile GA
Bertino S
Bramanti A
Ciurleo R
Anastasi GP
Milardi D
Cacciola A
Source :
Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2021 Oct 22; Vol. 31 (12), pp. 5613-5636.
Publication Year :
2021

Abstract

The development of novel techniques for the in vivo, non-invasive visualization and identification of thalamic nuclei has represented a major challenge for human neuroimaging research in the last decades. Thalamic nuclei have important implications in various key aspects of brain physiology and many of them show selective alterations in various neurologic and psychiatric disorders. In addition, both surgical stimulation and ablation of specific thalamic nuclei have been proven to be useful for the treatment of different neuropsychiatric diseases. The present work aimed at describing a novel protocol for histologically guided delineation of thalamic nuclei based on short-tracks track-density imaging (stTDI), which is an advanced imaging technique exploiting high angular resolution diffusion tractography to obtain super-resolved white matter maps. We demonstrated that this approach can identify up to 13 distinct thalamic nuclei bilaterally with very high inter-subject (ICC: 0.996, 95% CI: 0.993-0.998) and inter-rater (ICC:0.981; 95% CI:0.963-0.989) reliability, and that both subject-based and group-level thalamic parcellation show a fair share of similarity to a recent standard-space histological thalamic atlas. Finally, we showed that stTDI-derived thalamic maps can be successfully employed to study structural and functional connectivity of the thalamus and may have potential implications both for basic and translational research, as well as for presurgical planning purposes.<br /> (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1460-2199
Volume :
31
Issue :
12
Database :
MEDLINE
Journal :
Cerebral cortex (New York, N.Y. : 1991)
Publication Type :
Academic Journal
Accession number :
34296740
Full Text :
https://doi.org/10.1093/cercor/bhab184