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Record W7116631329 · doi:10.1093/braincomms/fcaf488

Cortical asymmetry in autosomal dominant Alzheimer’s disease progression

2025· article· en· W7116631329 on OpenAlexaff
Agnès Pérez-Millan, Neus Falgàs, Beatríz Bosch, Sergi Borrego-Écija, Anna Antonell, Guadalupe Fernández-Villullas, Diana Esteller-Gauxax, Adrià Tort-Merino, Núria Bargalló, Mircea Balasa, Albert Lladó, David Aguillón, Patricio Chrem, Gregory S. Day, Emma Devenney, Edward D. Huey, Takeshi Ikeuchi, Mathias Jucker, Kensaku Kasuga, Jonathan Vöglein, Jee Hoon Roh, Paolo Vitali, Ana Luisa Sosa Ortíz, Jorge J Llibre-Guerra, Brian A. Gordon, Eric McDade, Randall J. Bateman, Raquel Sánchez-Valle, The Dominantly Inherited Alzheimer Network (DIAN), Alisha Daniels, Laura Courtney, Angela Ziegemeier, Karina Skrbec, Cortaiga Hellm, Mariana Martin, Ellen Ziegemeier, Jamie Bartzel, Charlene Supnet, Chengie Xiong, Xiong Xu, Ruijin Lu, Guoqiao Wang, Yan Li, Yuzheng Nie, Emily Gremminger, Richard J. Perrin, Erin Franklin, Laura Ibanez, Gina Jerome, Jennifer Stauber, Bryce Baker, Matthew Minton, Carlos C Cruchaga, Alison M Goate, Alan E Renton, Danielle M. Picarello, Brian Fulton‐Howard, Tammie L S Benzinger, Jessica Banks, Russ C. Hornbeck, Allison Chen, Charles D. Chen, Shaney Flores, Manu S. Goyal, Diana A. Hobbs, Nelly Joseph-Mathurin, Kelley Jackson, Sarah Keefe, Deborah Koudelis, Parinaz Massoumzadeh, Austin McCullough, Nicole S. McKay, Joyce Nicklaus, Christine Pulizos, Qing Wang, Edita Sabaredzovic, Jalen Scott, Ashlee Simmons, Jacqueline Rizzo, Andrei G. Vlassenko, Yong Wang, Jason Hassenstab, Sarah Stout, Andrew J. Aschenbrenner, Celeste M. Karch, Jacob Marsh, John C Morris, David M. Holtzman, Nicolas R. Barthélemy, Jinbin Xu, Sarah Berman, Snežana Ikonomović, Neill R Graff-Radford, Martin R. Farlow, Jasmeer P. Chhatwal, Courtney Maa, Takanobu Ishiguro, Kenji Ishii, Michio Senda, Yoshiki Niimi, Stephen Salloway, Peter R. Schofield, William S. Brooks, Jacob A Bechara, Ralph Martins, Nick C Fox, David M. Cash, Natalie S. Ryan, Christoph Laske, Reda Timofejavaite, Elke Kuder-Buletta, Susanne Graber-Sultan, Christian la Fougère, Gerald Reischl, Ulrike Obermueller, Johannes Levin, Yvonne Rödenbeck, Jonathan Vӧglein, Jae Hong Lee, Ricardo Allegri, Patricio Chrem Méndez, Ezequiel Surace, Silvia Vazquez, Yudy Milena Leon, Laura Ramirez, Laura Serna, Ana Baena, Yamile Bocanegra, Allan Levey, Erik C B Johnson, Nicholas T. Seyfried, John M. Ringman, Anne M. Fagan, Hiroshi Mori, Colin L. Masters, James M. Noble, Francisco Lopera

Bibliographic record

VenueBrain Communications · 2025
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsMontreal Neurological Institute and Hospital
FundersInstituto de Salud Carlos IIIAgència de Gestió d'Ajuts Universitaris i de RecercaGeneralitat de CatalunyaEuropean CommissionMinisterio de Ciencia y TecnologíaCentres de Recerca de CatalunyaFundación BBVA
KeywordsAsymptomatic carrierAsymptomaticMutationAsymmetryDiseaseObservational studyNeuroimagingCohort

Abstract

fetched live from OpenAlex

Abstract The cortical asymmetry index evaluates the cortical thickness asymmetry between hemispheres. We investigated cortical asymmetry index in asymptomatic and symptomatic mutation carriers of autosomal dominant Alzheimer’s disease to explore the brain asymmetry within the Alzheimer’s disease continuum. Sixty baseline T1-weighted MRI scans were obtained from the Clinic Barcelona cohort. Baseline and longitudinal MRI data from 564 participants within the dominantly inherited Alzheimer network observational study were used as an independent, confirmatory cohort. Cerebrospinal fluid and plasma neurofilament light chain levels were included when available. Cortical thickness was calculated using Freesurfer and cortical asymmetry index was calculated via an open-source pipeline. Cross-sectional analyses examined cortical asymmetry index differences based on clinical classification and APOE ε4 status, adjusting for age, sex and estimated years from onset, while correlations were assessed with age, estimated years from onset, mini-mental state examination scores, and neurofilament light. Longitudinal cortical asymmetry index evolution was modelled using generalized additive models in the dominantly inherited Alzheimer network observational study cohort, incorporating age, sex, and the interaction between group and estimated years from onset. The cortical asymmetry index successfully distinguished asymptomatic mutation carrier and symptomatic mutation carriers from healthy controls in the Clinic Barcelona cohort and symptomatic mutation carriers from controls in dominantly inherited Alzheimer network observational study. Higher cortical asymmetry index in mutation carriers (asymptomatic mutation carrier and symptomatic mutation carriers combined) and in symptomatic mutation carriers were associated with higher plasma neurofilament light levels, a closer proximity to symptom onset, and lower mini-mental state examination in the Clinic Barcelona cohort. In the dominantly inherited Alzheimer network observational study cohort, mutation carriers exhibited increased cortical asymmetry index compared to controls and correlated with elevated neurofilament light (plasma and Cerebrospinal fluid), lower mini-mental state examination, and a closer proximity to symptom onset. APOE3/3 carriers showed greater asymmetry than other APOE genotypes and significant cortical asymmetry index differences between asymptomatic mutation carrier and symptomatic mutation carriers. Longitudinally, cortical asymmetry index increased over time significantly in symptomatic mutation carriers. These findings underscore brain asymmetry as a potential biomarker for early Alzheimer’s disease progression in autosomal dominant Alzheimer’s disease, with implications for detection and monitoring tracking disease-related neuroanatomical changes.

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)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.068
GPT teacher head0.370
Teacher spread0.302 · 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.

Study designTheoretical or conceptual
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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