Biological brain age prediction using machine learning on structural neuroimaging data: multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex

Autor: Cumplido Mayoral, Irene, García Prat, Marina, Operto, Grégory, Falcón Falcón, Carles, Shekari, Mahnaz, Cacciaglia, Raffaele, Milà Alomà, Marta, Lorenzini, Luigi, Ingala, Silvia, Vilaplana Besler, Verónica
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Popis: Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging-derived measures from the UK Biobank dataset (N=22,661) were used to predict brain-age in 2,314 cognitively unimpaired (CU) individuals at higher risk of AD and mild cognitive impaired (MCI) patients from four independent cohorts with available biomarker data: ALFA+, ADNI, EPAD and OASIS. Brain-age delta was associated with abnormal amyloid-b, more advanced stages (AT) of AD pathology and APOE-e4 status. Brain-age delta was positively associated with plasma neurofilament light, a marker of neurodegeneration, and sex differences in the brain effects of this marker were found. These results validate brain-age delta as a non-invasive marker of biological brain aging in non-demented individuals with abnormal levels of biomarkers of AD and axonal injury. Marc Suárez-Calvet: Horizon 2020 - Research and Innovation Framework Programme 948677, Instituto de Salud Carlos III PI19/00155, La Caixa Foundation 100010434, Horizon 2020 - Research and Innovation Framework Programme 847648 / Juan Domingo Gispert: EU/EFPIA Innovative Medicines Initiative Joint Undertaking AMYPAD 115952 / Marc Suárez-Calvet: La Caixa Foundation 100010434; LCF/PR/ GN17/50300004 / Irene Cumplido-Mayoral: TriBEKa Imaging Platform project TriBEKa-17-519007, Universities and Research Secretariat, Ministry of Business and Knowledge of the Catalan Government 2017-SGR-892 / Juan Domingo Gispert: EIT Digital Grant 2021, Spanish Ministry of Science and Innovation (MCIN)/Spanish Research Agency (AEI) MCIN/AEI /10.13039/501100011033 RTI2018-102261, cofunded by the European Regional Development Fund (FEDER) / Marc Suárez-Calvet: NIHR biomedical research center at UCLH Frederik Barkhof Instituto de Salud Carlos III PI22/00456 / Raffaele Cacciaglia: Spanish Ministry of Science and Innovation (MCIN)/Spanish Research Agency (AEI) MCIN/ AEI/10.13039/501100011033 PID2021-125433OA-100 / Verónica Vilaplana: Spanish Research Agency (AEI) PID2020-116907RB-I00 of the call MCIN/ AEI /10.13039/501100011033 Peer Reviewed Article signat per 27 autors/es: Irene Cumplido-Mayoral, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Marina García-Prat, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Grégory Operto, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Carles Falcon, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Mahnaz Shekari, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Raffaele Cacciaglia, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Marta Milà-Alomà, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Luigi Lorenzini, Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands; Silvia Ingala, Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands; Alle Meije Wink, Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands; Henk JMM Mutsaerts, Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands; Carolina Minguillón, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Karine Fauria, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; José Luis Molinuevo, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Sven Haller, CIRD Centre d'Imagerie Rive Droite, Geneva, Switzerland; Gael Chetelat, Normandie Univ, UNICAEN, INSERM, U1237, Caen, France; Adam Waldman, Centre for Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom; Adam J Schwarz, Takeda Pharmaceutical Company Ltd, Cambridge, United States; Frederik Barkhof, Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands; Ivonne Suridjan, Roche Diagnostics International Ltd, Rotkreuz, Switzerland; Gwendlyn Kollmorgen, Roche Diagnostics GmbH, Penzberg, Germany; Anna Bayfield, Roche Diagnostics GmbH, Penzberg, Germany; Henrik Zetterberg, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden; Kaj Blennow, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden; Marc Suárez-Calvet, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Verónica Vilaplana, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain; Juan Domingo Gispert López, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
Databáze: OpenAIRE
Externí odkaz: