Ipsilateral and contralateral cerebro-cerebellar white matter connections: A diffusion tensor imaging study in healthy adults.


Journal

Journal of neuroradiology = Journal de neuroradiologie
ISSN: 0150-9861
Titre abrégé: J Neuroradiol
Pays: France
ID NLM: 7705086

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 10 11 2017
revised: 02 07 2018
accepted: 26 07 2018
pubmed: 12 8 2018
medline: 12 2 2019
entrez: 12 8 2018
Statut: ppublish

Résumé

The cerebellum has a pivotal role in regulating human behavior; yet whether this function is mediated only through contralateral cerebro-cerebellar pathways is under-investigated. Thus, we examined feed-backward and feed-forward ipsilateral and contralateral cerebro-cerebellar connections using a detereministic diffusion tensor imaging (DTI) algorithm, the robustness of which was also estimated using phantom DTI data. Fifty-one healthy controls (22-60 years old; 15 males/36 females) were scanned in a 3T MRI scanner with a 30-direction DTI sequence. Multiple region-of-interest (ROI) method was applied for the reconstruction of the ipsilateral and contralateral (based on cerebellar seed ROI) fronto-ponto-cerebellar (FPC), parieto-ponto-cerebellar (PPC), temporo-ponto-cerebellar (TPC), occipito-ponto-cerebellar (OPC) and dentate-rubro-thalamo-cortical (DRTC) tract bilaterally using the Brainance DTI Suite. A realistic diffusion MR phantom was used to evaluate the fiber tracking methodology for 16 fibers containing crossing, kissing, splitting and bending configurations. Both contralateral and ipsilateral FPC, PPC, OPC and ipsilateral DRTC tracts were successfully reconstructed; the contralateral DRTC tract was not reconstructed in all subjects. Also, the TPC tract was not reproduced in several subjects mostly regarding the contralateral connection. Descriptive DTI measures (number of fibers, fractional anisotropy, radial and axial diffusivity) are presented for each tract. Regarding phantom data, Brainance DTI Suite returned a dataset of 16 fibers that almost perfectly matched the 16 ground truth fibers. We identified ipsilateral and contralateral connections using a clinically applicable DTI sequence, a robust deterministic algorithm and an unbiased methodology, which can be applied in daily practice in different brain pathologies.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
The cerebellum has a pivotal role in regulating human behavior; yet whether this function is mediated only through contralateral cerebro-cerebellar pathways is under-investigated. Thus, we examined feed-backward and feed-forward ipsilateral and contralateral cerebro-cerebellar connections using a detereministic diffusion tensor imaging (DTI) algorithm, the robustness of which was also estimated using phantom DTI data.
MATERIALS AND METHODS METHODS
Fifty-one healthy controls (22-60 years old; 15 males/36 females) were scanned in a 3T MRI scanner with a 30-direction DTI sequence. Multiple region-of-interest (ROI) method was applied for the reconstruction of the ipsilateral and contralateral (based on cerebellar seed ROI) fronto-ponto-cerebellar (FPC), parieto-ponto-cerebellar (PPC), temporo-ponto-cerebellar (TPC), occipito-ponto-cerebellar (OPC) and dentate-rubro-thalamo-cortical (DRTC) tract bilaterally using the Brainance DTI Suite. A realistic diffusion MR phantom was used to evaluate the fiber tracking methodology for 16 fibers containing crossing, kissing, splitting and bending configurations.
RESULTS RESULTS
Both contralateral and ipsilateral FPC, PPC, OPC and ipsilateral DRTC tracts were successfully reconstructed; the contralateral DRTC tract was not reconstructed in all subjects. Also, the TPC tract was not reproduced in several subjects mostly regarding the contralateral connection. Descriptive DTI measures (number of fibers, fractional anisotropy, radial and axial diffusivity) are presented for each tract. Regarding phantom data, Brainance DTI Suite returned a dataset of 16 fibers that almost perfectly matched the 16 ground truth fibers.
CONCLUSIONS CONCLUSIONS
We identified ipsilateral and contralateral connections using a clinically applicable DTI sequence, a robust deterministic algorithm and an unbiased methodology, which can be applied in daily practice in different brain pathologies.

Identifiants

pubmed: 30098370
pii: S0150-9861(17)30500-X
doi: 10.1016/j.neurad.2018.07.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

52-60

Informations de copyright

Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Auteurs

Efstratios Karavasilis (E)

Second Department of Radiology, University General Hospital "Attikon", Medical School, National and Kapodistrian University of Athens, Athens, Greece. Electronic address: stratoskaravasilis@yahoo.gr.

Foteini Christidi (F)

First Department of Neurology, Aeginiteion Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Georgios Velonakis (G)

Second Department of Radiology, University General Hospital "Attikon", Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Zoi Giavri (Z)

Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.

Nikolaos L Kelekis (NL)

Second Department of Radiology, University General Hospital "Attikon", Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Efstathios P Efstathopoulos (EP)

Second Department of Radiology, University General Hospital "Attikon", Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Ioannis Evdokimidis (I)

First Department of Neurology, Aeginiteion Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Georges Dellatolas (G)

Faculté de médecine UVSQ, Inserm, Université Paris-Saclay, 91190 Villejuif, France.

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Classifications MeSH