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Structural MRI predicts clinical progression in presymptomatic genetic frontotemporal dementia: findings from the GENetic Frontotemporal dementia Initiative cohort.
Bocchetta, Martina; Todd, Emily G; Bouzigues, Arabella; Cash, David M; Nicholas, Jennifer M; Convery, Rhian S; Russell, Lucy L; Thomas, David L; Malone, Ian B; Iglesias, Juan Eugenio; van Swieten, John C; Jiskoot, Lize C; Seelaar, Harro; Borroni, Barbara; Galimberti, Daniela; Sanchez-Valle, Raquel; Laforce, Robert; Moreno, Fermin; Synofzik, Matthis; Graff, Caroline; Masellis, Mario; Tartaglia, Maria Carmela; Rowe, James B; Vandenberghe, Rik; Finger, Elizabeth; Tagliavini, Fabrizio; de Mendonça, Alexandre; Santana, Isabel; Butler, Chris R; Ducharme, Simon; Gerhard, Alexander; Danek, Adrian; Levin, Johannes; Otto, Markus; Sorbi, Sandro; Le Ber, Isabelle; Pasquier, Florence; Rohrer, Jonathan D.
Afiliação
  • Bocchetta M; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Todd EG; Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, Medicine and Life Sciences, College of Health, Brunel University London, London, United Kingdom.
  • Bouzigues A; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Cash DM; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Nicholas JM; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Convery RS; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
  • Russell LL; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Thomas DL; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Malone IB; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Iglesias JE; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • van Swieten JC; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Jiskoot LC; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Seelaar H; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
  • Borroni B; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
  • Galimberti D; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Sanchez-Valle R; Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Laforce R; Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Moreno F; Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Synofzik M; Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
  • Graff C; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
  • Masellis M; Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
  • Tartaglia MC; Neurology Department, Hospital Clinic, Institut d'Investigacions Biomèdiques, Barcelona, Spain.
  • Rowe JB; Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Faculté de Médecine, Université Laval, Quebec City, QC, Canada.
  • Vandenberghe R; Hospital Universitario Donostia, San Sebastian, Spain.
  • Finger E; Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.
  • Tagliavini F; German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
  • de Mendonça A; Department NVS, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden.
  • Santana I; Unit for Hereditary Dementia, Theme Aging, Karolinska University Hospital-Solna Stockholm, Stockholm, Sweden.
  • Butler CR; Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Toronto, ON, Canada.
  • Ducharme S; Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, ON, Canada.
  • Gerhard A; Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust and Medical Research Council Cognition and brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
  • Danek A; Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
  • Levin J; Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada.
  • Otto M; Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Neurologico Carlo Besta, Milan, Italy.
  • Sorbi S; Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
  • Le Ber I; Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
  • Pasquier F; Department of Clinical Neurology, University of Oxford, Oxford, United Kingdom.
  • Rohrer JD; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Brain Commun ; 5(2): fcad061, 2023.
Article em En | MEDLINE | ID: mdl-36970046
Biomarkers that can predict disease progression in individuals with genetic frontotemporal dementia are urgently needed. We aimed to identify whether baseline MRI-based grey and white matter abnormalities are associated with different clinical progression profiles in presymptomatic mutation carriers in the GENetic Frontotemporal dementia Initiative. Three hundred eighty-seven mutation carriers were included (160 GRN, 160 C9orf72, 67 MAPT), together with 240 non-carrier cognitively normal controls. Cortical and subcortical grey matter volumes were generated using automated parcellation methods on volumetric 3T T1-weighted MRI scans, while white matter characteristics were estimated using diffusion tensor imaging. Mutation carriers were divided into two disease stages based on their global CDR®+NACC-FTLD score: presymptomatic (0 or 0.5) and fully symptomatic (1 or greater). The w-scores in each grey matter volumes and white matter diffusion measures were computed to quantify the degree of abnormality compared to controls for each presymptomatic carrier, adjusting for their age, sex, total intracranial volume, and scanner type. Presymptomatic carriers were classified as 'normal' or 'abnormal' based on whether their grey matter volume and white matter diffusion measure w-scores were above or below the cut point corresponding to the 10th percentile of the controls. We then compared the change in disease severity between baseline and one year later in both the 'normal' and 'abnormal' groups within each genetic subtype, as measured by the CDR®+NACC-FTLD sum-of-boxes score and revised Cambridge Behavioural Inventory total score. Overall, presymptomatic carriers with normal regional w-scores at baseline did not progress clinically as much as those with abnormal regional w-scores. Having abnormal grey or white matter measures at baseline was associated with a statistically significant increase in the CDR®+NACC-FTLD of up to 4 points in C9orf72 expansion carriers, and 5 points in the GRN group as well as a statistically significant increase in the revised Cambridge Behavioural Inventory of up to 11 points in MAPT, 10 points in GRN, and 8 points in C9orf72 mutation carriers. Baseline regional brain abnormalities on MRI in presymptomatic mutation carriers are associated with different profiles of clinical progression over time. These results may be helpful to inform stratification of participants in future trials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Commun Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Commun Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido