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Record W4223623530 · doi:10.1038/s41593-022-01042-4

Genetic variants associated with longitudinal changes in brain structure across the lifespan

2022· review· en· W4223623530 on OpenAlexafffund
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, Mark E. Bastin, 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, Mathew A. Harris, Catharina A. Hartman, Sarah J. Heany, Walter Heindel, Dirk J. Heslenfeld, Sarah Hohmann, Bernd Ittermann, Philip R. Jansen, Joost Janssen, Tianye Jia, 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, Víctor Ortiz‐García de la Foz, Bronwyn J. Overs, Marie‐Laure Paillère Martinot, Ronny Redlich, Tiago Reis Marques, Jonathan Repple, Gloria Roberts, Gennady V. Roshchupkin, Nikita Setiaman, Elena Shumskaya, Frederike Stein, Gustavo Sudre, Shun Takahashi, Anbupalam Thalamuthu, Diana Tordesillas‐Gutiérrez, Aad van der Lugt, Neeltje E.M. van Haren, Joanna M. Wardlaw, Wei Wen, Henk‐Jan Westeneng, Katharina Wittfeld, Alyssa H. Zhu, André Zugman, Nicola J. Armstrong, Gaia Bonfiglio, Janita Bralten, Shareefa Dalvie, Gail Davies, 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, Marcella Rietschel, Marcos Santoro, Vidar M. Steen, Jason L. Stein, Fabian Streit, Rick M. Tankard, Alexander Teumer, Dennis van ‘t Ent, Dennis van der Meer, Kristel R. van Eijk, Evangelos Vassos, Javier Vázquez-Bourgón, Stephanie H. Witt, Rüdiger Brühl, Dimitri Papadopoulos Orfanos, Tomáš Paus, Sabina Millenet, 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, Benedicto Crespo‐Facorro, Simon R. Cox, 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, Hilleke E. Hulshoff Pol

Bibliographic record

VenueNature Neuroscience · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCilagFP7 HealthFP7 Ideas: European Research CouncilNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthNational Institute on Alcohol Abuse and AlcoholismEuropean Regional Development FundInstituto de Salud Carlos IIIComisión Nacional de Investigación Científica y TecnológicaNational Health and Medical Research CouncilBiotechnology and Biological Sciences Research CouncilMedical Research CouncilHorizon 2020 Framework ProgrammeGenentechNational Institutes of HealthMax Planck Instituut voor PsycholinguïstiekAvera Institute for Human GeneticsHeinz Nixdorf StiftungInstituto de Investigación Marqués de ValdecillaUK Dementia Research InstituteVetenskapsrådetNeuraxpharmFondation LeducqMission Interministérielle de Lutte Contre les Drogues et les Conduites AddictivesRoyal SocietyStichting Vrienden van het SophiaDiamantina Institute, University of QueenslandBergens ForskningsstiftelseUniversity of New South WalesRadboud Universitair Medisch CentrumSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungStockholms Läns LandstingNorges ForskningsrådUniversitair Medisch Centrum GroningenLundbeckfondenUniversitetet i OsloMinisterio de Ciencia e InnovaciónFondation de FranceUniversity of GalwayFundação de Amparo à Pesquisa do Estado do Rio Grande do SulHelse VestKarolinska InstitutetConselho Nacional de Desenvolvimento Científico e TecnológicoGedeon RichterGGZ DrentheNational Institute on AgingUniversität GreifswaldGGZ inGeestAccareBundesministerium für Bildung und ForschungVrije Universiteit AmsterdamUniversiteit UtrechtZonMwNational Natural Science Foundation of ChinaUniversiteit MaastrichtNational University of IrelandServierMaastricht Universitair Medisch CentrumUniversiteit LeidenH. Lundbeck A/SInstitut National de la Santé et de la Recherche MédicaleNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftErasmus Medisch CentrumSouth African Medical Research CouncilFundação de Amparo à Pesquisa do Estado de São PauloAstraZenecaCanadian Institutes of Health ResearchKnut och Alice Wallenbergs StiftelseEuropean CommissionHelse Sør-Øst RHFMax-Planck-GesellschaftKing's College LondonAlzheimer's SocietyBioClinicaFresenius Medical Care North AmericaRivierduinenPfizerEU Joint Programme – Neurodegenerative Disease ResearchNational Alliance for Research on Schizophrenia and DepressionFoundation for the National Institutes of HealthHealth Research BoardFundación Alicia KoplowitzMrs Gladys Row Fogo Charitable TrustMinistry of Cultural AffairsFundación Mutua MadrileñaChildren's Hospital FoundationUniversiteit AntwerpenNorthern California Institute for Research and EducationNational Science FoundationGGZ FrieslandBiogenWellcome TrustAgence Nationale de la RechercheSiemens HealthineersFondation pour la Recherche MédicaleSouth London and Maudsley NHS Foundation TrustHersenstichtingCentro de Investigación Biomédica en Red de Salud MentalRadboud UniversiteitEli Lilly and CompanyLeids Universitair Medisch CentrumEisaiNational Institute on Drug AbuseAge UKEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUniversity of Southern CaliforniaCommonwealth Scientific and Industrial Research OrganisationNational Institute for Health and Care ResearchCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorRijksuniversiteit GroningenBristol-Myers SquibbNovartis Pharmaceuticals CorporationSunovionScience Foundation IrelandU.S. Department of Health and Human ServicesUniversitetet i BergenUniversity of EdinburghAlzheimer's Disease Neuroimaging InitiativeMeso Scale DiagnosticsIXICOScottish Funding CouncilNational Healthcare GroupFédération pour la Recherche sur le CerveauAlzheimer's Association
KeywordsNeuroscienceBiologyPsychologyGenetic variantsEvolutionary biologyGeneticsGeneGenotype

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.337
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations252
Published2022
Admission routes2
Has abstractno

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