Monteverdi, Anita;
Palesi, Fulvia;
Schirner, Michael;
Argentino, Francesca;
Merante, Mariateresa;
Redolfi, Alberto;
Conca, Francesca;
... D'Angelo, Egidio; + view all
(2023)
Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias.
Frontiers in Aging Neuroscience
, 15
, Article 1204134. 10.3389/fnagi.2023.1204134.
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Abstract
INTRODUCTION: Neural circuit alterations lay at the core of brain physiopathology, and yet are hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural and functional magnetic resonance imaging (MRI), yields mesoscopic parameters of connectivity and synaptic transmission. METHODS: We used TVB to simulate brain networks, which are key for human brain function, in Alzheimer's disease (AD) and frontotemporal dementia (FTD) patients, whose connectivity and synaptic parameters remain largely unknown; we then compared them to healthy controls, to reveal novel in vivo pathological hallmarks. RESULTS: The pattern of simulated parameter differed between AD and FTD, shedding light on disease-specific alterations in brain networks. Individual subjects displayed subtle differences in network parameter patterns that significantly correlated with their individual neuropsychological, clinical, and pharmacological profiles. DISCUSSION: These TVB simulations, by informing about a new personalized set of networks parameters, open new perspectives for understanding dementias mechanisms and design personalized therapeutic approaches.
| Type: | Article |
|---|---|
| Title: | Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias |
| Location: | Switzerland |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fnagi.2023.1204134 |
| Publisher version: | https://doi.org/10.3389/fnagi.2023.1204134 |
| Language: | English |
| Additional information: | © 2023 the Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | virtual brain modeling, brain dynamics, excitatory/inhibitory balance, Alzheimer’s disease, frontotemporal dementia, resting-state networks |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10175859 |
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