New ‘digital brain twin’ created using multimodal data provides anatomically accurate brain models which could be used in experimental and clinical settings.
Article URL: https://plos.io/3QajWmS
Article Title: A digital twin approach for simultaneous reconstruction of brain anatomy and dynamics from neural data
Author Countries: Italy
Funding: LGA, AAV and AM were supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project EBRAINS-Italy (IR0000011) - European Brain ReseArch INfrastructureS-Italy (DN. 101 16.06.2022), project MNESYS (PE0000006) – A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022), and project Fit4MedRob—Fit for Medical Robotics Grant (# PNC0000007). LM and JC were supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006) – A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022), AR was partly funded by the National Institute for Nuclear Physics (INFN, CSN5) within the next_AIM project and by the European Commission under the NextGeneration EU with the PNRR M4C2 Inv. 1.3, PE00000013 FAIR project (Spoke 8). SC was partially supported by the FIA-Fondazione Italiana Autismo. EB and SC were partially supported by the Italian Ministry of Health (Grant Ricerca Corrente 2025). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
PLOS Digital Health
11-Jun-2026
Competing Interests: The authors have declared that no competing interests exist.