Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Bayesian-modeled individualized atrophy scores predict dementia progression among asymptomatic f-FTLD mutation carriers and may have increased utility compared with other structural imaging methods when studying individuals over shorter timeframes that align with clinical trial design. ANN NEUROL 2026.

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Publication Details

Journal
Annals of Neurology
Published
2026-01-29
DOI
https://doi.org/10.1002/ana.78167
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Hilary W. Heuer, Adam L. Boxer, Annie L Clark, Shubir Dutt et al.
Annals of Neurology
Dementia and Cognitive Impairment Research
article

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Hilary W. Heuer, Adam L. Boxer, Annie L Clark, Shubir Dutt, Marijne Vandebergh, Yann Cobigo, Chiadi U. Onyike, Phoebe H. Foster, M Otto, Lucy L. Russell, Brian S. Appleby, J Levin, Bayram Ece, Gabriel C. Léger, James Rowe, Amy Wolf, Edward D Huey, Simon Ducharme, J. D. Rohrer, Walter K Kremers, Maria Luisa Gorno‐Tempini, Dana Leichter, Molly Olzinski, Irene Litvan, Raquel Sánchez‐Valle, Fermin Moreno, David M Cash, Nupur Ghoshal, Leah K. Forsberg, Harro Seelaar, Adam M. Staffaroni, Alexander Gerhard, Isabel Santana, Caroline Graff, Rik Vandenberghe, Joel H. Kramer, John C. van Swieten, Eve Ferry‐Bolder, David Clark, Chris R. Butler, Ian M. Grant, Pietro Tiraboschi, William W. Seeley, Barbara Borroni, Bradford Dickerson, Ian R. Mackenzie, Eliana Marisa Ramos, Lawrence S. Honig, Lize C. Jiskoot, Douglas R. Galasko, Neill Graff‐Radford, Rosa Rademakers, Robert Laforce, Kejal Kantarci, David John Irwin, Justin Y. Kwan, Mario Masellis, Daniela Galimberti, Chadwick M. Hales, Bruce L. Miller, John Kornak, Rhian S. Convery, Ging‐Yuek Hsiung, Bradley F. Boeve, Andrea Bozoki, Kimiko Domoto‐Reilly, Matthis Synofzik, Elizabeth Finger, Sandro Sorbi, Mario F. Mendez, Howard J. Rosen, Isabelle Le Ber, Maria Carmela Tartaglia, Peter Pressman, Belen Pascual, Martina Bocchetta, Aaron Ritter, Alexandre de Mendonça, R. Ryan Darby, Allison Snyder, FTD Prevention Initiative (FPI) investigators
article en

Abstract

Bayesian-modeled individualized atrophy scores predict dementia progression among asymptomatic f-FTLD mutation carriers and may have increased utility compared with other structural imaging methods when studying individuals over shorter timeframes that align with clinical trial design. ANN NEUROL 2026.

Annals of Neurology
Northwestern University (US), University of North Carolina at Chapel Hill (US), Western University (CA), Indiana University Health (US), Montreal Neurological Institute and Hospital (CA), Houston Methodist (US), Sunnybrook Health Science Centre (CA), Karolinska University Hospital (SE), University of Lisbon (PT), University of British Columbia (CA), University of Antwerp (BE), Emory University (US), University of California, Los Angeles (US), University of Toronto (CA), University of Milan (IT), Universität Ulm (DE), Vanderbilt University (US), University of Washington (US), Washington University in St. Louis (US), University of Cambridge (GB), Douglas Mental Health University Institute (CA), Lou Ruvo Brain Institute (US), Instituto de Salud Carlos III (ES), German Center for Neurodegenerative Diseases (DE), Jacksonville College (US), Erasmus MC (NL), WinnMed (US), Cambridge University Hospitals NHS Foundation Trust (GB), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Karolinska Institutet (SE), University of Manchester (GB), University of Alabama at Birmingham (US), University of California San Diego (US), Sorbonne Université (FR), University of Oxford (GB), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Massachusetts General Hospital (US), Behavioral Pharma (United States) (US), Biogipuzkoa Health Research Institute (ES), University Memory and Aging Center (US), Alzheimer’s Disease Neuroimaging Initiative (US), National Institute of Neurological Disorders and Stroke (US), Occupational Cancer Research Centre (CA), Munich Cluster for Systems Neurology (DE), Centro San Giovanni di Dio Fatebenefratelli (IT), Don Carlo Gnocchi Foundation (IT), Essen University Hospital (DE), Pitié-Salpêtrière Hospital (FR), Mayo Clinic in Arizona (US), UK Dementia Research Institute (GB), Klinikum Arnsberg (DE), VIB-UAntwerp Center for Molecular Neurology (BE), Donostiako Unibertsitate Ospitalea (ES), Hertie Institute for Clinical Brain Research (DE), Onkologikoa (ES), Mayo Clinic in Florida (US), Northwestern Medicine (US), National Hospital for Neurology and Neurosurgery (GB), Institut du Cerveau (FR), VIB-KU Leuven Center for Brain & Disease Research (BE), Institute of Neurobiology (BG), Ferrari (Italy) (IT), Fondazione IRCCS Istituto Neurologico Carlo Besta (IT), Université Laval (CA), University of Florence (IT), University College London (GB), Imperial College London (GB), McGill University (CA), Indiana University – Purdue University Indianapolis (US), Case Western Reserve University (US), University of Duisburg-Essen (DE), University of Coimbra (PT), Columbia University (US), University of Pennsylvania (US), University of Brescia (IT), University of Tübingen (DE), Ludwig-Maximilians-Universität München (DE), Erasmus University Rotterdam (NL), University of Colorado Denver (US), KU Leuven (BE)
National Institutes of Health, National Center for Advancing Translational Sciences
Reduced inequalities
Openalex Percentile: Top 74%
Dementia and Cognitive Impairment Research
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