Structural interhemispheric connectivity defects in mouse models of BBSOAS: Insights from high spatial resolution 3D white matter tractography.

Anterior commissure Diffusion tensor imaging (DTI) Fornix Hippocampal commissure Nr2f1 mouse models White matter tractography corpus callosum

Journal

Neurobiology of disease
ISSN: 1095-953X
Titre abrégé: Neurobiol Dis
Pays: United States
ID NLM: 9500169

Informations de publication

Date de publication:
24 Feb 2024
Historique:
received: 10 11 2023
revised: 23 02 2024
accepted: 23 02 2024
medline: 27 2 2024
pubmed: 27 2 2024
entrez: 26 2 2024
Statut: aheadofprint

Résumé

White matter (WM) tract formation and axonal pathfinding are major processes in brain development allowing to establish precise connections between targeted structures. Disruptions in axon pathfinding and connectivity impairments will lead to neural circuitry abnormalities, often associated with various neurodevelopmental disorders (NDDs). Among several neuroimaging methodologies, Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging (MRI) technique that has the advantage of visualizing in 3D the WM tractography of the whole brain non-invasively. DTI is particularly valuable in unpinning structural tract connectivity defects of neural networks in NDDs. In this study, we used 3D DTI to unveil brain-specific tract defects in two mouse models lacking the Nr2f1 gene, which mutations in patients have been proven to cause an emerging NDD, called Bosch-Boonstra-Schaaf Optic Atrophy (BBSOAS). We aimed to investigate the impact of the lack of cortical Nr2f1 function on WM morphometry and tract microstructure quantifications. We found in both mutant mice partial loss of fibers and severe misrouting of the two major cortical commissural tracts, the corpus callosum, and the anterior commissure, as well as the two major hippocampal efferent tracts, the post-commissural fornix, and the ventral hippocampal commissure. DTI tract malformations were supported by 2D histology, 3D fluorescent imaging, and behavioral analyses. We propose that these interhemispheric connectivity impairments are consistent in explaining some cognitive defects described in BBSOAS patients, particularly altered information processing between the two brain hemispheres. Finally, our results highlight 3D-DTI as a relevant neuroimaging modality that can provide appropriate morphometric biomarkers for further diagnosis of BBSOAS patients.

Identifiants

pubmed: 38408685
pii: S0969-9961(24)00054-8
doi: 10.1016/j.nbd.2024.106455
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106455

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no conflict of interest.

Auteurs

Jean Christophe Deloulme (JC)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institute Neurosciences, 38000 Grenoble, France.

Maxime Leclercq (M)

BrainTech Lab Inserm U1205, Grenoble, France.

Olivier Deschaux (O)

University Côte d'Azur (UCA), CNRS, Inserm, Institute of Biology Valrose (iBV), Nice, France.

Gemma Flore (G)

Institute of Genetics and Biophysics "Adriano Buzzati Traverso", CNR, Napoli, Italy.

Laetitia Capellano (L)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institute Neurosciences, 38000 Grenoble, France.

Chiara Tocco (C)

University Côte d'Azur (UCA), CNRS, Inserm, Institute of Biology Valrose (iBV), Nice, France.

Barbara Yael Braz (BY)

Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institute Neurosciences, 38000 Grenoble, France.

Michèle Studer (M)

University Côte d'Azur (UCA), CNRS, Inserm, Institute of Biology Valrose (iBV), Nice, France. Electronic address: Michele.studer@unice.fr.

Hana Lahrech (H)

BrainTech Lab Inserm U1205, Grenoble, France.

Classifications MeSH