Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI.
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
Oct 2024
Oct 2024
Historique:
received:
29
07
2024
accepted:
22
09
2024
medline:
11
10
2024
pubmed:
11
10
2024
entrez:
11
10
2024
Statut:
ppublish
Résumé
The superficial white matter (SWM) consists of numerous short-range association fibers connecting adjacent and nearby gyri and plays an important role in brain function, development, aging, and various neurological disorders. Diffusion MRI (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the SWM. However, detailed imaging of the small, highly-curved fibers of the SWM is a challenge for current clinical and research dMRI acquisitions. This work investigates the efficacy of mapping the SWM using in vivo ultra-high-resolution dMRI data. We compare the SWM mapping performance from two dMRI acquisitions: a high-resolution 0.76-mm isotropic acquisition using the generalized slice-dithered enhanced resolution (gSlider) protocol and a lower resolution 1.25-mm isotropic acquisition obtained from the Human Connectome Project Young Adult (HCP-YA) database. Our results demonstrate significant differences in the cortico-cortical anatomical connectivity that is depicted by these two acquisitions. We perform a detailed assessment of the anatomical plausibility of these results with respect to the nonhuman primate (macaque) tract-tracing literature. We find that the high-resolution gSlider dataset is more successful at depicting a large number of true positive anatomical connections in the SWM. An additional cortical coverage analysis demonstrates significantly higher cortical coverage in the gSlider dataset for SWM streamlines under 40 mm in length. Overall, we conclude that the spatial resolution of the dMRI data is one important factor that can significantly affect the mapping of SWM. Considering the relatively long acquisition time, the application of dMRI tractography for SWM mapping in future work should consider the balance of data acquisition efforts and the efficacy of SWM depiction.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e70041Subventions
Organisme : NIH HHS
ID : R01MH132610
Pays : United States
Organisme : NIH HHS
ID : R01MH125860
Pays : United States
Organisme : NIH HHS
ID : R01MH119222
Pays : United States
Organisme : NIH HHS
ID : R01MH116173
Pays : United States
Organisme : NIH HHS
ID : P41EB015902
Pays : United States
Organisme : NIH HHS
ID : R01NS125307
Pays : United States
Organisme : NIH HHS
ID : R01NS125781
Pays : United States
Organisme : NIH HHS
ID : R01MH112748
Pays : United States
Organisme : NIH HHS
ID : R01MH111917
Pays : United States
Organisme : NIH HHS
ID : R01AG042512
Pays : United States
Organisme : NIH HHS
ID : R21DA042271
Pays : United States
Organisme : NIH HHS
ID : R21NS136960
Pays : United States
Organisme : NIH HHS
ID : K24MH116366
Pays : United States
Organisme : National Key Research and Development Program of China
ID : 2023YFE0118600
Organisme : National Natural Science Foundation of China
ID : 62371107
Informations de copyright
© 2024 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.
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