Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol.

Journal: Frontiers in neurorobotics
Published Date: Jan 5, 2024

Abstract

More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain stability or even revert to cognitive norms, alarmingly, up to half of the cases progress to dementia within 5 years. Current diagnostic practice lacks the necessary screening tools to identify those at risk of progression. The European patient experience often involves a long journey from the initial signs of MCI to the eventual diagnosis of dementia. The trajectory is far from ideal. Here, we introduce the AI-Mind project, a pioneering initiative with an innovative approach to early risk assessment through the implementation of advanced artificial intelligence (AI) on multimodal data. The cutting-edge AI-based tools developed in the project aim not only to accelerate the diagnostic process but also to deliver highly accurate predictions regarding an individual's risk of developing dementia when prevention and intervention may still be possible. AI-Mind is a European Research and Innovation Action (RIA H2020-SC1-BHC-06-2020, No. 964220) financed between 2021 and 2026. First, the AI-Mind identifies dysfunctional brain networks based on high-density magneto- and electroencephalography (M/EEG) recordings. Second, the AI-Mind predicts dementia risk using data from the , enriched with computerized cognitive tests, genetic and protein biomarkers, as well as sociodemographic and clinical variables. AI-Mind is integrated within a network of major European initiatives, including The Virtual Brain, The Virtual Epileptic Patient, and EBRAINS AISBL service for sensitive data, HealthDataCloud, where big patient data are generated for advancing digital and virtual twin technology development. AI-Mind's innovation lies not only in its early prediction of dementia risk, but it also enables a virtual laboratory scenario for hypothesis-driven personalized intervention research. This article introduces the background of the AI-Mind project and its clinical study protocol, setting the stage for future scientific contributions.

Authors

  • Ira H Haraldsen
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Christoffer Hatlestad-Hall
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Camillo Marra
    Memory Clinic, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Hanna Renvall
    Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland.
  • Fernando Maestú
    Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
  • Jorge Acosta-Hernández
    Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain.
  • Soraya Alfonsin
    Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
  • Vebjørn Andersson
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Abhilash Anand
    Performance and Assurance Solutions, Digital Solutions, DNV, Oslo, Norway.
  • Victor Ayllón
    Lurtis Rules S.L., Madrid, Spain.
  • Aleksandar Babic
    Healthcare Programme, Group Research and Development, DNV, Oslo, Norway.
  • Asma Belhadi
    Department of Computer Science, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • Cindy Birck
    Alzheimer Europe, Luxembourg, Luxembourg.
  • Ricardo Bruña
    Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
  • Naike Caraglia
    Memory Clinic, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Claudia Carrarini
    Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.
  • Erik Christensen
    Pre Diagnostics AS, Oslo, Norway.
  • Americo Cicchetti
    The Graduate School of Health Economics and Management (ALTEMS), Catholic University of the Sacred Heart, Rome, Italy.
  • Signe Daugbjerg
    The Graduate School of Health Economics and Management (ALTEMS), Catholic University of the Sacred Heart, Rome, Italy.
  • Rossella Di Bidino
    The Graduate School of Health Economics and Management (ALTEMS), Catholic University of the Sacred Heart, Rome, Italy.
  • Ana Diaz-Ponce
    Alzheimer Europe, Luxembourg, Luxembourg.
  • Ainar Drews
    IT Department, University of Oslo, Oslo, Norway.
  • Guido Maria Giuffrè
    Memory Clinic, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Jean Georges
    Alzheimer Europe, Luxembourg, Luxembourg.
  • Pedro Gil-Gregorio
    Department of Geriatric Medicine, Hospital Universitario Clínico San Carlos, Madrid, Spain.
  • Dianne Gove
    Alzheimer Europe, Luxembourg, Luxembourg.
  • Tim M Govers
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands.
  • Harry Hallock
    Healthcare Programme, Group Research and Development, DNV, Oslo, Norway.
  • Marja Hietanen
    Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and Helsinki University, Helsinki, Finland.
  • Lone Holmen
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Jaakko Hotta
    Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, Helsinki, Finland.
  • Samuel Kaski
    Department of Computer Science, Helsinki Institute of Information Technology, Aalto University, Helsinki, Finland.
  • Rabindra Khadka
    Department of Computer Science, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • Antti S Kinnunen
    BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland.
  • Anne M Koivisto
    Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, Helsinki, Finland.
  • Shrikanth Kulashekhar
    BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland.
  • Denis Larsen
    Department of Computer Science, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • Mia Liljeström
    Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland.
  • Pedro G Lind
    Department of Computer Science, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • Alberto Marcos Dolado
    Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain.
  • Serena Marshall
    Healthcare Programme, Group Research and Development, DNV, Oslo, Norway.
  • Susanne Merz
    Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland.
  • Francesca Miraglia
    Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.
  • Juha Montonen
    BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland.
  • Ville Mäntynen
    BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland.
  • Anne Rita Øksengård
    The Norwegian Health Association, Oslo, Norway.
  • Javier Olazarán
    Neurology Service, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Teemu Paajanen
    Finnish Institute of Occupational Health, Helsinki, Finland.
  • José M Peña
    Lurtis Rules S.L., Madrid, Spain.
  • Luis Peña
    Lurtis Rules S.L., Madrid, Spain.
  • Daniel Lrabien Peniche
    School of Digital Technologies, Tallinn University, Tallinn, Estonia.
  • Ana S Perez
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Mohamed Radwan
    Department of Computer Science, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • Federico Ramírez-Toraño
    Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
  • Andrea Rodríguez-Pedrero
    Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
  • Timo Saarinen
    BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland.
  • Mario Salas-Carrillo
    Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain.
  • Riitta Salmelin
    Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland.
  • Sonia Sousa
    School of Digital Technologies, Tallinn University, Tallinn, Estonia.
  • Abdillah Suyuthi
    Performance and Assurance Solutions, Digital Solutions, DNV, Oslo, Norway.
  • Mathias Toft
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Pablo Toharia
    Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain.
  • Thomas Tveitstøl
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Mats Tveter
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Ramesh Upreti
    Department of Neurology, Oslo University Hospital, Oslo, Norway.
  • Robin J Vermeulen
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands.
  • Fabrizio Vecchio
    Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.
  • Anis Yazidi
    Department of Computer Science, Oslo Metropolitan University, Oslo, Norway.
  • Paolo Maria Rossini
    Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.

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