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Record W4412366112 · doi:10.1093/brain/awaf256

Brain atrophy patterns in anti-IgLON5 disease

2025· article· en· W4412366112 on OpenAlexafffund
Selina Yogeshwar, Frederik Bartels, Thomas Grüter, Sergio Muñiz‐Castrillo, Géraldine Picard, Yvette S. Crijnen, E Bernard, Anna Heidbreder, Αναστασία Ζεκερίδου, Marius Ringelstein, Andrea Kraft, Stjepana Kovac, Klaus‐Peter Wandinger, Juna M. de Vries, Agnita J.W. Boon, Sharon Veenbergen, Christian Geis, Loana Penner, Nico Melzer, Frank Leypoldt, Morten Blaabjerg, Sean J. Pittock, Carles Gaig, Lídia Sabater, Joan Santamaría, Francesc Graus, Josep Dalmau, Harald Prüß, Romana Höftberger, Bettina Schreiner, Jan Lewerenz, Sarosh R. Irani, Emmanuel Mignot, Maarten J. Titulaer, Ilya Ayzenberg, Jérôme Honnorat, Carsten Finke, Aurélie Méneret Isabelle Francillard, Dimitri Renard, Virginie Desestret, Nicolas Capet, Jean‐Baptiste Davion, Julie Boucher, Hélène Zéphir, Philippe Damier, Helene Combres, Marie Rafiq, Fabrice Bonneville, Marina Cumin, Antoine Soulages, Mathilde Compoint, Maximilien Moulin, Édouard Berling, Eve Garrigues, Veronique Bourg, Caroline Giordana, Jeanne Benoit, Olivier Flabeau, Emmanuelle Derivoyre, Gilles Ryckewaert, Tifanie Alberto, Nicolas Carrière, Sohrab Mostoufizadehs, Mélanie Barbay, Marie Bénaiteau, Alberto Vogrig, François Sellal, Olivier Casez, Cédric Bruel, L G Kalifa, Sarah Demortière, Adil Maarouf, Adrien Wang, Adelaide Brasset, Clarisse Carra‐Dallière, Arthur Attal, Céline Demourant, Florent Cluse, Jean‐Luc Houéto, Justina Dargvainiene, Thomas Seifert‐Held, Ulrich Hofstadt‐van Oy, Michael Nagel, Christian Urbanek, Ina Schroeder, Peter Schramm, Silke Tonner, Caspar Seitz, Marlene Tschernatsch, Ha‐Yeun Chung, Jonathan Wickel, Florian Schoeberl, Stefan Macher, Mateus Mistieri Simabukuro, Simone Zittel-Dirks, Brigitte Wildemann, Ján Kothaj, Carlos Ordás, Javier Villacieros‐Álvarez, Klemens Angstwurm, Evelyn Berger–Sieczkowski, Ángela Milán Tomás, Antonio Martin Bastida, Sonia Quintas, Nicola Tambasco, Pasquale Nigro, Raffaele Iorio, Yoya Ono, Takayoshi Shimohata, Akio Kimura, Takekoshi Akira, Mette Scheller-Nissen, Christian Hartmann, Robin van Steenhoven, Katia Schwichtenberg

Bibliographic record

VenueBrain · 2025
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsInstitute of Infection and Immunity
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsNIHR Oxford Biomedical Research CentreE-RareMedical Research CouncilGerman Academic Exchange Service LondonCanadian Institutes of Health ResearchNational Institutes of HealthAlzheimer's Disease Neuroimaging InitiativeStichting DioraphteDeutscher Akademischer AustauschdienstNorges IdrettshøgskoleStiftung für Pathobiochemie und Molekulare DiagnostikBundesministerium für Bildung und FrauenMedical Research Council CanadaEinstein Stiftung BerlinArgenxVereniging Trustfonds Erasmus Universiteit RotterdamDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekHORIZON EUROPE Framework ProgrammeCharité – Universitätsmedizin BerlinGeneralitat de CatalunyaZonMwAgence Nationale de la RechercheBMA Foundation for Medical ResearchHelmholtz-GemeinschaftNational Multiple Sclerosis SocietyHorizon TherapeuticsUniversity of OxfordH2020 Marie Skłodowska-Curie ActionsBerlin Institute of HealthFoundation for the National Institutes of HealthEinstein Center for Neurosciences BerlinBritish Medical AssociationUS-UK Fulbright CommissionMultiple Sclerosis SocietyBundesministerium für Bildung und ForschungFundació Clinic per la Recerca BiomèdicaEpilepsy Research UKDeutscher Akademischer Austauschdienst FranceGuarantors of BrainFiona Wood FoundationWellcome TrustCSL BehringNational Institute for Health and Care ResearchNorthern California Institute for Research and EducationAlexion PharmaceuticalsInstituto de Salud Carlos IIIAssociation of British NeurologistsAustrian Science FundAmgen
KeywordsAtrophyTauopathyNeurosciencePathologyMedicineBrainstemDiseaseBiologyNeurodegeneration

Abstract

fetched live from OpenAlex

Anti-IgLON5 disease is an autoimmune encephalitis that presents with a heterogenous clinical phenotype, including sleep disorders, movement abnormalities and bulbar involvement. It is characterized by autoantibodies against IgLON5, 85% association with HLA-DQB1*05:∼ and a brainstem-dominant tauopathy. Cellular and murine models report pathogenic effects of the autoantibodies, and neurodegenerative factors suggest progressive atrophy as a common sequela. However, evidence from in vivo patient data and long-term follow-up is limited, and the degree of progression remains elusive. In this multicentre study, clinical and brain MRI data were collected from 127 patients across 12 countries to investigate the relationships between clinical presentations and the development of distinct brain atrophy patterns. Our data show that most patients develop a complex multisystem phenotype as the disease progresses; however, neuromuscular manifestations rarely emerge at later disease stages. By comparison to healthy controls, this disease presents with severe substructure-specific atrophy, especially affecting the hypothalamus, brainstem, accumbens and basal ganglia, which, in age-independent analyses, show significant ventricular enlargement and also suggest progression of brainstem atrophy over the disease course. Moreover, the focality of atrophy was functionally linked to specific symptoms, with more severe involvement of the basal ganglia in patients with movement disorders, and greater atrophy in the hippocampus and thalamus in patients with cognitive impairment. Taken together, our results provide evidence of distinct atrophy patterns in anti-IgLON5 disease, which closely mirror sites of pathophysiologic processes, including autoantibody binding and tau deposition. Our data emphasize the brainstem as the pathophysiological hub of the disease and provide normative data for the incorporation of atrophy measurements into routine clinical assessments and future treatment studies to monitor disease trajectory and evaluate future treatment strategies.

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 score0.027
Threshold uncertainty score0.380

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 head0.009
GPT teacher head0.278
Teacher spread0.269 · 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

Citations5
Published2025
Admission routes2
Has abstractyes

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