Brain networks topology and dynamics capture neuropsychological heterogeneity in mild cognitive impairment

Motivation: A deeper understanding of the cellular mechanisms shaping brain network dynamics is crucial in heterogeneous clinical conditions such as mild cognitive impairment (MCI). Goal(s): We want to show that virtual brain modelling (TVB) can extract information hidden in brain network function and organization and, integrated with graph theory, contribute to the explanation of neuropsychological variance. Approach: Starting from structural and functional connectomes, TVB and graph theory were combined to investigate brain networks in healthy subjects and MCI at different disease stages. Results: Graph theory measures together with TVB parameters explained ~70% of neuropsychological scores variance, validating the clinical utility of this new approach. Impact: With its high correlation with neuropsychological scores, the subject-specific portrait of mild cognitive impairment patients, obtained combining virtual brain modelling and graph theory analysis, can contribute to the development of individualized early intervention.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4210
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

Brain networks topology and dynamics capture neuropsychological heterogeneity in mild cognitive impairment

Anna Pichiecchio, Lisa Maria Farina, Fulvia Palesi, Alfredo Costa et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
article

Brain networks topology and dynamics capture neuropsychological heterogeneity in mild cognitive impairment

Anna Pichiecchio, Lisa Maria Farina, Fulvia Palesi, Alfredo Costa, Stefano Francesco Cappa, Francesca Conca, Claudia A. M. Gandini Wheeler‐Kingshott, Marta Gaviraghi, Egidio D’Angelo, Alberto Redolfi, Matteo Cotta Ramusino, Roberta Lorenzi, Anita Monteverdi, Marialaura De Grazia, Eleonora Lupi, Sofia Manzon
article en

Abstract

Motivation: A deeper understanding of the cellular mechanisms shaping brain network dynamics is crucial in heterogeneous clinical conditions such as mild cognitive impairment (MCI). Goal(s): We want to show that virtual brain modelling (TVB) can extract information hidden in brain network function and organization and, integrated with graph theory, contribute to the explanation of neuropsychological variance. Approach: Starting from structural and functional connectomes, TVB and graph theory were combined to investigate brain networks in healthy subjects and MCI at different disease stages. Results: Graph theory measures together with TVB parameters explained ~70% of neuropsychological scores variance, validating the clinical utility of this new approach. Impact: With its high correlation with neuropsychological scores, the subject-specific portrait of mild cognitive impairment patients, obtained combining virtual brain modelling and graph theory analysis, can contribute to the development of individualized early intervention.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Functional Brain Connectivity Studies
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