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Record W3012795081 · doi:10.1093/cercor/bhaa035

Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes

2020· review· en· W3012795081 on OpenAlexafffund
Jean Shin, Shaojie Ma, Edith Hofer, Yash Patel, Daniel E. Vosberg, Steven Tilley, Gennady V. Roshchupkin, André M. M. Sousa, Xueqiu Jian, Rebecca Gottesman, Thomas H. Mosley, Myriam Fornage, Yasaman Saba, Lukas Pirpamer, Reinhold Schmidt, Helena Schmidt, Amaia Carrión-Castillo, Fabrice Crivello, Bernard Mazoyer, Shuo Li, Qiong Yang, Michelle Luciano, Sherif Karama, Lindsay B. Lewis, Mark E. Bastin, Mathew A. Harris, Joanna M. Wardlaw, Markus Scholz, Markus Loeffler, A. Veronica Witte, Frauke Beyer, Arno Villringer, Nicola J. Armstrong, Karen A. Mather, David Ames, Jiyang Jiang, John B. Kwok, Peter R. Schofield, Anbupalam Thalamuthu, Julian N. Trollor, Margaret J. Wright, Henry Brodaty, Wei Wen, Perminder S. Sachdev, Natalie Terzikhan, Tavia E. Evans, Hieab H.H. Adams, M. Arfan Ikram, Stefan Frenzel, Sandra Van der Auwera, Katharina Wittfeld, Robin Bülow, Hans J. Grabe, Christophe Tzourio, Aniket Mishra, Sophie Maingault, Stéphanie Debette, Nathan A. Gillespie, Carol E. Franz, William S. Kremen, Linda Ding, Neda Jahanshad, Nenad Šestan, Zdenka Pausová, Sudha Seshadri, Tomáš Paus

Bibliographic record

VenueCerebral Cortex · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcGill UniversityUniversity of TorontoMontreal Neurological Institute and HospitalSickKids FoundationHolland Bloorview Kids Rehabilitation HospitalHospital for Sick Children
FundersBiotechnology and Biological Sciences Research CouncilNational Institutes of HealthNational Institute on AgingUniversity of Cape TownTechnische Universität DresdenUniversity of QueenslandVrije Universiteit AmsterdamUniversiteit UtrechtTaiwan BiobankQueensland University of TechnologyUniversity of California, San DiegoWestfälische Wilhelms-Universität MünsterNational University of IrelandMcGill UniversityMedical Research CouncilUniversidade Estadual de CampinasUniversity of GalwayCardiff UniversityUniversity of Southern California
KeywordsVisual cortexCognitionGenome-wide association studyNeuroscienceCerebral cortexAssociation (psychology)PsychologyBiologyCortex (anatomy)Human brainGeneticsSingle-nucleotide polymorphismGene

Abstract

fetched live from OpenAlex

We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most regions, whereas PC2 (visual) was specific to the primary and secondary visual cortices. We identified a total of 18 (PC1) and 17 (PC2) independent loci, which were replicated in another 25 746 individuals. The loci of the global PC1 included those associated previously with intracranial volume and/or general cognitive function, such as MAPT and IGF2BP1. The loci of the visual PC2 included DAAM1, a key player in the planar-cell-polarity pathway. We then tested associations with occupational aptitudes and, as predicted, found that the global PC1 was associated with General Learning Ability, and the visual PC2 was associated with the Form Perception aptitude. These results suggest that interindividual variations in global and regional development of the human cerebral cortex (and its molecular architecture) cascade-albeit in a very limited manner-to behaviors as complex as the choice of one's occupation.

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 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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.314
Teacher spread0.284 · 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

Citations26
Published2020
Admission routes2
Has abstractyes

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