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Dynamics of Brain Structure and its Genetic Architecture over the Lifespan
Rachel M. Brouwer, Marieke Klein, Katrina L. Grasby, Hugo G. Schnack, Neda Jahanshad, Jalmar Teeuw, Sophia I. Thomopoulos, Emma Sprooten, Carol E. Franz, Nitin Gogtay, William S. Kremen, Matthew S. Panizzon, Loes M. Olde Loohuis, Christopher D. Whelan, Moji Aghajani, Clara Alloza, Dag Alnæs, Éric Artiges, Rosa Ayesa‐Arriola, Gareth J. Barker, Elisabet Blok, Erlend Bøen, Isabella A. Breukelaar, Joanna K. Bright, Elizabeth E.L. Buimer, Robin Bülow, Dara M. Cannon, Simone Ciufolini, Nicolás Crossley, Christienne G. Damatac, Paola Dazzan, Casper L. de Mol, Sonja M. C. de Zwarte, Sylvane Desrivières, Covadonga M. Díaz‐Caneja, Nhat Trung Doan, Katharina Dohm, Juliane H. Fröhner, Janik Goltermann, Antoine Grigis, Dominik Grotegerd, Laura K. M. Han, Catharina A. Hartman, Sarah J. Heany, Walter Heindel, Dirk J. Heslenfeld, Sarah Hohmann, Bernd Ittermann, Philip R. Jansen, Joost Janssen, Jiyang Jiang, Christiane Jockwitz, Temmuz Karali, Daniel Keeser, Martijn Koevoets, Rhoshel Lenroot, Berend Malchow, René C.W. Mandl, Vicente Medel, Susanne Meinert, Catherine Morgan, Thomas W. Mühleisen, Leila Nabulsi, Nils Opel, Bronwyn J. Overs, Erin Burke Quinlan, Ronny Redlich, Jonathan Repple, Gloria Roberts, Gennady V. Roshchupkin, Elena Shumskaya, Frederike Stein, Gustavo Sudre, Shun Takahashi, Anbupalam Thalamuthu, Diana Tordesillas‐Gutiérrez, Aad van der Lugt, Neeltje E.M. van Haren, Wei Wen, Henk‐Jan Westeneng, André Zugman, Nicola J. Armstrong, Janita Bralten, Shareefa Dalvie, Marta Di Forti, Linda Ding, Gary Donohoe, Andreas J. Forstner, Javier González‐Peñas, Joao Guimaraes, Georg Homuth, Jouke‐Jan Hottenga, Maria J. Knol, John B. Kwok, Stéphanie Le Hellard, Karen A. Mather, Yuri Milaneschi, Derek W. Morris, Markus M. Nöthen, Sergi Papiol, Vidar M. Steen, Jason L. Stein, Fabian Streit, Rick M. Tankard, Alexander Teumer, Dennis van der Meer, Kristel R. van Eijk, Evangelos Vassos, Javier Vázquez-Bourgón, Stephanie H. Witt, Hieab H.H. Adams, Ingrid Agartz, David Ames, Katrin Amunts, Ole A. Andreassen, Celso Arango, Tobias Banaschewski, Bernhard T. Baune, Síntia Belangero, Arun L.W. Bokde, Dorret I. Boomsma, Rodrigo A. Bressan, Henry Brodaty, Jan K. Buitelaar, Wiepke Cahn, Svenja Caspers, Sven Cichon, Udo Dannlowski, Torbjørn Elvsåshagen, Thomas Espeseth, Peter Falkai, Simon E. Fisher, Herta Flor, Janice M. Fullerton, Hugh Garavan, Penny Gowland, Hans J. Grabe, Tim Hahn, Andreas Heinz, Manon H. J. Hillegers, Jacqueline Hoare, Pieter J. Hoekstra, M. Arfan Ikram, Andrea Parolin Jackowski, Andreas Jansen, Erik G. Jönsson, René S. Kahn, Tilo Kircher, Mayuresh S. Korgaonkar, Axel Krug, Hervé Lemaître, Ulrik Fredrik Malt, Jean‐Luc Martinot, Colm McDonald, Philip B. Mitchell, Ryan L. Muetzel, Robin Murray, Frauke Nees, Igor Nenadić, Jaap Oosterlaan, Roel A. Ophoff, Pedro Mário Pan, Brenda W.J.H. Penninx, Luise Poustka, Perminder S. Sachdev, Giovanni Abrahão Salum, Peter R. Schofield, Günter Schumann, Philip Shaw, Kang Sim, Michael N. Smolka, Dan J. Stein, Julian N. Trollor, Leonard H. van den Berg, Jan H. Veldink, Henrik Walter, Lars T. Westlye, Robert Whelan, Tonya White, Margaret J. Wright, Sarah E. Medland, Barbara Franke, Paul M. Thompson
Bibliographic record
VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsnot available
FundersNational Institute on AgingCanadian Institutes of Health ResearchNational Institutes of HealthHeinz Nixdorf StiftungMission Interministérielle de Lutte Contre les Drogues et les Conduites AddictivesBergens ForskningsstiftelseRadboud Universitair Medisch CentrumNorges ForskningsrådUniversitair Medisch Centrum GroningenLeids Universitair Medisch CentrumFondation de FranceIXICOKnut och Alice Wallenbergs StiftelseHorizon 2020 Framework ProgrammeVetenskapsrådetUniversity of Southern CaliforniaEisaiConselho Nacional de Desenvolvimento Científico e TecnológicoEU Joint Programme – Neurodegenerative Disease ResearchRivierduinenGGZ inGeestAccareDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekNational University of IrelandStockholms Läns LandstingFondation pour la Recherche MédicaleBundesministerium für Bildung und ForschungVrije Universiteit AmsterdamEli Lilly and CompanyFundación Mutua MadrileñaRadboud UniversiteitKarolinska InstitutetZonMwUniversiteit LeidenSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungInstitut National de la Santé et de la Recherche MédicaleBiogenAgence Nationale de la RechercheGGZ FrieslandKing's College LondonNational Institute for Health and Care ResearchNorthern California Institute for Research and EducationF. Hoffmann-La RocheFundación Alicia KoplowitzBioClinicaGGZ DrentheGenentechEuropean CommissionU.S. Department of DefenseUniversitetet i BergenAlzheimer's Disease Neuroimaging InitiativeFondation de l'Avenir pour la Recherche Médicale AppliquéeMedical Research CouncilUniversity of GalwayNational Science FoundationScience Foundation IrelandRijksuniversiteit GroningenBristol-Myers SquibbFédération pour la Recherche sur le CerveauAlzheimer's Association
KeywordsBrain sizeBiologyBrain morphometryGenetic architectureImaging geneticsBrain Structure and FunctionGenome-wide association studyAtrophyNeuroimagingHuman brainGeneSchizophrenia (object-oriented programming)GeneticsNeuroscienceMagnetic resonance imagingPsychologyGenotypeMedicineQuantitative trait locusSingle-nucleotide polymorphismPsychiatry
Abstract
The results leading to this publication have received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777394 for the project AIMS-2-TRIALS. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA and AUTISM SPEAKS, Autistica, SFARI. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. Any views expressed are those of the author(s) and not necessarily those of the funders.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.613
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 head0.017
GPT teacher head0.246
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Citations10
Published2020
Admission routes1
Has abstractyes