Connectivity related to major brain functions in Alzheimer disease progression: microstructural properties of the cingulum bundle and its subdivision using diffusion-weighted MRI

The microstructure of the cingulum bundle is related to brain cognitive functions. A probabilistic automatic approach is proposed to reconstruct the subdivisions of the cingulum bundle by diffusion-weighted images. The subdivisions showed different microstructural properties and variations in relation to the progression of dementia.

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Publication Details

Journal
European Radiology Experimental
Published
2025-03-19
DOI
https://doi.org/10.1186/s41747-025-00570-5
Citations
6
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
8.16

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article

Connectivity related to major brain functions in Alzheimer disease progression: microstructural properties of the cingulum bundle and its subdivision using diffusion-weighted MRI

Leonardo Brizi, Danilo Greco, Anastasiia Nagmutdinova, James T. Grist et al.
6 citations
European Radiology Experimental
Advanced Neuroimaging Techniques and Applications
8.16
article

Connectivity related to major brain functions in Alzheimer disease progression: microstructural properties of the cingulum bundle and its subdivision using diffusion-weighted MRI

Leonardo Brizi, Danilo Greco, Anastasiia Nagmutdinova, James T. Grist, Villiam Bortolotti, Claudia M. Testa, Carlo Golini, Mattia Ricchi, Guido Campani
article en
6 citations

Abstract

The microstructure of the cingulum bundle is related to brain cognitive functions. A probabilistic automatic approach is proposed to reconstruct the subdivisions of the cingulum bundle by diffusion-weighted images. The subdivisions showed different microstructural properties and variations in relation to the progression of dementia.

European Radiology ExperimentalVol. 9(1)
University of Pisa (IT), University of Oxford (GB), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT), European Institute of Oncology (IT), University of Genoa (IT), University of Bologna (IT), Politecnico di Milano (IT)
U.S. Department of Defense, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research
Openalex Percentile: Top 3%
Advanced Neuroimaging Techniques and Applications
8.16
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