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Record W4292623742 · doi:10.1001/jamaneurol.2022.2442

Spatial Extent of Amyloid-β Levels and Associations With Tau-PET and Cognition

2022· article· en· W4292623742 on OpenAlexaff
Hazal Ozlen, Alexa Pichet Binette, Theresa Köbe, Pierre‐François Meyer, Julie Gonneaud, Frédéric St‐Onge, Karine Provost, Jean‐Paul Soucy, Pedro Rosa‐Neto, John C.S. Breitner, Judes Poirier, Sylvia Villeneuve, Angela Tam, Anne Labonté, Anne‐Marie Faubert, Axel Mathieu, Cécile Madjar, Charles Edouard Carrier, Christian Dansereau, Christina Kazazian, Claude Lepage, Cynthia Picard, David Maillet, Diane Michaud, Doris Couture, Doris Dea, A. Claudio Cuello, Alan Barkun, Alan C. Evans, Blandine Courcot, Christine Tardif, Clément Debacker, Clifford R. Jack, David Fontaine, David S. Knopman, Gerhard Multhaup, Jamie Near, Jeannie‐Marie Leoutsakos, Jean‐Robert Maltais, Jason Brandt, Jens C. Pruessner, John C. Morris, Laksanun Cheewakriengkrai, Lisa-Marie Mà ⁄ nter, D. Louis Collins, M. Mallar Chakravarty, Mark A. Sager, Marina Dauar‐Tedeschi, Mark J. Eisenberg, Natasha Rajah, Paul Aisen, Paule‐Joanne Toussaint, Pierre Bellec, Penelope Kostopoulos, Pierre Étienne, Pierre N. Tariot, Pierre Orban, Reisa A. Sperling, Rick Hoge, Ronald G. Thomas, Serge Gauthier, Suzanne Craft, Thomas J. Montine, Vasavan Nair, Véronique D. Bohbot, Vinod Venugopalan, Vladimir Fonov, Yasser Ituria‐Medina, Zaven S. Khachaturian, Eduard Teigner, Elena Anthal, Elsa Yu, Fabiola Ferdinand, Galina Pogossova, Ginette Mayrand, Guerda Duclair, Guylaine Gagné, Holly Newbold‐Fox, Illana Leppert, Isabelle Vallée, Jacob W. Vogel, Jennifer Tremblay‐Mercier, Joanne Frenette, Josée Frappier, Justin Kat, Justin Miron, Karen Wan, Laura Mahar, Leopoldina Carmo, Louise Théroux, Mahsa Dadar, Marianne Dufour, Marie‐Élyse Lafaille‐Magnan, Melissa Appleby, Mélissa Savard, Miranda Tuwaig, Mirela Petkova, Pierre Rioux, P.T. Meyer, Rana El‐Khoury, Renee Gordon, Renuka Giles, Samir Das, Seqian Wang, Shirin Tabrizi, Sulantha Mathotaarachchi, Sylvie Dubuc, Tanya Lee, Thomas Beaudry, Valérie Gervais, Véronique Pagé, Gà ⁄ lebru Ayranci, Tharick A. Pascoal, René Desautels, Fatiha Benbouhoud, Eunice Farah Saint‐Fort, Sander C.J. Verfaillie, Sarah Farzin, Alyssa Salaciak, Stéphanie Tullo, Étienne Vachon‐Presseau, Leslie‐Ann Daoust, R. Nathan Spreng, Melissa McSweeney, Nathalie Nilsson, Morteza Pishnamazi, Christophe Bedetti, Louise Hudon, Claudia Greco, Marianne Chapleau, Sophie Boutin, Maiya R. Geddes, Simon Ducharme, Gabriel Jean, Elisabeth Sylvain, Marie‐Josee Élie, Gloria Leblond‐Baccichet, Julie Bailly, Béry Mohammediyan, Yalin Chen, Jordana Remz, Michael W. Weiner, R.A. Peterson, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C Green, Andrew J. Saykin, Richard J. Perrin, Leslie M. Shaw, María C. Carrillo, William L. Porter, Lisa L. Barnes, Marie Bernard, Héctor Alfredo Baptista González, Carole Ho, John Hsiao, Jonathan Jackson, Eliezer Masliah, Donna Masterman, Ozioma C. Okonkwo, Laurie Ryan, Nina Silverberg, Adam Fleisher, Diana Truran Sacrey, Juliet Fockler, Cat Conti, Dallas P. Veitch, John Neuhaus, Chengshi Jin, Rachel L. Nosheny, Miriam T. Ashford, Derek Flenniken, Adrieene Kormos, Tom Montine, Micheal Rafii, Rema Raman, Gustavo Jiménez, Micheael Donohue, Devon Gessert, Jennifer Salazar, Caileigh Zimmerman, Yuliana Cabrera, Sarah Walter, Garrett Miller, Godfrey Coker, Taylor Clanton, Lindsey Hergesheimer, Stephanie Smith, Olusegun Adegoke, Payam Mahboubi, Shelley Moore, Jeremy Pizzola, Elizabeth Shaffer, Danielle Harvey, Arivn Forghanian-Arani, Bret Borowski, Chad Ward, Christopher G. Schwarz, David Jones, Jeff Gunter, Kejal Kantarci, Matthew Senjen, Prashanthi Vermuri, Robert C. Reid, Nick C. Fox, Ian B. Malone, Paul M. Thompson, Sophia I Tohomopoulous, Talia M. Nir, Neda Jahanshad, Charles DeCarli, Alexander Knaack, Evan Fletcher, Duygu Tosun, Stephanie Rossi Chen, Mark Choe, Karen Crawford, Paul A. Yushkevich, Sandhitsu R. Das, Robert A. Koeppe, Eric M. Reiman, Kewei Chen, Susan Landau, Nigel J. Cairns, Erin Householder, Erin Franklin, Haley Bernhardt, Lisa Taylor‐Reinwald, Magdalena Korecka, Michal Figurski, Scott Neu, Kwangski Nho, Shannon L. Risacher, Liana G. Apostolova, Li Shen, Tatiana M. Foroud, Kelly Nudelman, Kelley Faber, Kristi Wilmes, Leon J. Thal, Keith A. Johnson, Dorene M. Rentz, Rebecca E. Amariglio, Deborah Blacker, Rachel F. Buckley, Jasmeer P. Chhatwal, Brad C. Dickerson, Nancy J. Donovan, Michelle E. Farrell, Geoffroy Gagliardi, Jennifer R. Gatchel, Edmarie Guzmán‐Vélez, Heidi I.L. Jacobs, Roos J. Jutten, Cristina Lois Gómez, Gad A. Marshall, Kate Oaoo, Enmanuelle Pardilla‐Delgado, Julie C. Price, Prokopis C. Prokopiou, Yakeel T. Quiroz, Gretchen Reynolds, Aaron P. Schultz, Stephanie A. Schultz, Jorge Sepulcre, Irina Skylar-Scott, Patrizia Vannini, Clara Vila‐Castelar, Hyun‐Sik Yang

Bibliographic record

VenueJAMA Neurology · 2022
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMontreal Neurological Institute and HospitalCentre Hospitalier de l’Université de MontréalMcGill UniversityDouglas Mental Health University Institute
FundersNational Institute on Aging
KeywordsCohortNeuroimagingAlzheimer's Disease Neuroimaging InitiativePittsburgh compound BPositron emission tomographyMedicineAlzheimer's diseaseAmyloid (mycology)Internal medicineApolipoprotein EPsychologyDiseaseOncologyNuclear medicinePathologyNeuroscience

Abstract

fetched live from OpenAlex

Importance: Preventive trials of anti-amyloid agents might preferably recruit persons showing earliest biologically relevant β-amyloid (Aβ) binding on positron emission tomography (PET). Objective: To investigate the timing at which Aβ-PET binding starts showing associations with other markers of Alzheimer disease. Design, Setting, and Participants: This longitudinal multicentric cohort study included 3 independent cohorts: Presymptomatic Evaluation of Experimental or Novel Treatments for Alzheimer Disease (PREVENT-AD) (data collected from 2012-2020), Alzheimer Disease Neuroimaging Initiative (ADNI) (data collected from 2005-2019), and Harvard Aging Brain Study (HABS) (data collected from 2011-2019). In a 3-tiered categorization of Aβ-PET binding spatial extent, individuals were assigned as having widespread Aβ deposition if they showed positive signal throughout a designated set of brain regions prone to early Aβ accumulation. Those with binding in some but not all were categorized as having regional deposition, while those who failed to show any criterion Aβ signal were considered Aβ-negative. All participants who were cognitively unimpaired at their first Aβ PET scan. Main Outcomes and Measures: Differences in cerebrospinal fluid (CSF), genetics, tau-PET burden, and cognitive decline. Results: A total of 817 participants were included, including 129 from the PREVENT-AD cohort (mean [SD] age, 63.5 [4.7] years; 33 [26%] male; 126 [98%] White), 400 from ADNI (mean [SD] age, 73.6 [5.8] years; 190 [47%] male; 10 [5%] Hispanic, 338 [91%] White), and 288 from HABS (mean [SD] age, 73.7 [6.2] years; 117 [40%] male; 234 [81%] White). Compared with Aβ-negative persons, those with regional Aβ binding showed proportionately more APOE ε4 carriers (18 [64%] vs 22 [27%] in PREVENT-AD and 34 [31%] vs 38 [19%] in ADNI), reduced CSF Aβ1-42 levels (F = 24 and 71), and greater longitudinal Aβ-PET accumulation (significant β = 0.019 to 0.056). Participants with widespread amyloid binding further exhibited notable cognitive decline (significant β = -0.014 to -0.08), greater CSF phosphorylated tau181 (F = 5 and 27), and tau-PET binding (all F > 7.55). Using each cohort's specified dichotomous threshold for Aβ positivity or a visual read classification, most participants (56% to 100%, depending on classification method and cohort) with regional Aβ would have been classified Aβ-negative. Conclusions and Relevance: Regional Aβ binding appears to be biologically relevant and participants at this stage remain relatively free from CSF phosphorylated tau181, tau-PET binding, and related cognitive decline, making them ideal targets for anti-amyloid agents. Most of these individuals would be classified as negative based on classical thresholds of Aβ positivity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2022
Admission routes1
Has abstractyes

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