Functional anatomy and topographical organization of the frontotemporal arcuate fasciculus

Author:

Basile Gianpaolo Antonio1,Nozais Victor2,Quartarone Angelo3,Giustiniani Andreina3,Ielo Augusto3,Cerasa Antonio4,Milardi Demetrio1,Abdallah Majd5,de Schotten Michel Thiebaut2ORCID,Forkel Stephanie J.6ORCID,Cacciola Alberto1ORCID

Affiliation:

1. Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy

2. Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France; Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France

3. IRCCS Centro Neurolesi “Bonino Pulejo”, Messina, Italy

4. Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy; S. Anna Institute, 1680067 Crotone, Italy; Pharmacotechnology Documentation and Transfer Unit, Preclinical and Translational Pharmacology, Department of Pharmacy, Health Science and Nutrition, University of Calabria, 87036 Arcavacata, Italy

5. Bordeaux Bioinformatics Center (CBiB), IBGC, CNRS, University of Bordeaux, Bordeaux, France

6. Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy; Donders Institute for Brain Cognition Behaviour, Radboud University, Nijmegen, the Netherlands; Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK

Abstract

Abstract

Traditionally, the frontotemporal arcuate fasciculus (AF) is viewed as a single entity in anatomo-clinical models. However, it is unclear if distinct cortical origin and termination patterns within this bundle correspond to specific language functions. We used track-weighted dynamic functional connectivity, a hybrid imaging technique, to study the AF structure and function in a large cohort of healthy participants. Our results suggest the AF can be subdivided based on dynamic changes in functional connectivity at the streamline endpoints. An unsupervised parcellation algorithm revealed spatially segregated subunits, which were then functionally quantified through meta-analysis. This approach identified three distinct clusters within the AF - ventral, middle, and dorsal frontotemporal AF - each linked to different frontal and temporal termination regions and likely involved in various language production and comprehension aspects.

Publisher

Springer Science and Business Media LLC

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