Evidence map›Paper›PMID 36161899›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Using neuroimaging genomics to investigate the evolution of human brain structure.

Gökberk Alagöz, Barbara Molz, Else Eising, Dick Schijven, Clyde Francks, Jason L Stein, Simon E Fisher

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Using neuroimaging genomics to investigate the evolution of human brain structure.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Gökberk AlagözLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands.ORCID 0000-0003-0530-2780
Barbara MolzLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands.ORCID 0000-0002-9300-761X
Else EisingLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands.ORCID 0000-0001-9819-1260
Dick SchijvenLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands.ORCID 0000-0001-5190-7241
Clyde FrancksLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands.ORCID 0000-0002-9098-890X
Jason L SteinDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0003-4829-0513
Simon E FisherLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands.ORCID 0000-0002-3132-1996
Max Planck Institute for Psycholinguistics · NLRadboud University Nijmegen · NLUniversity of North Carolina at Chapel Hill · US

Funding

Neurobiological Markers of Rhythm: Risk and Resilience for Language AcquisitionR01DC016977 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORDON, REYNA LEIGH · 2019 to 2023
$3.5M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIDCD NIH HHS R01 DC016977
6 · The paper itself

Abstract

Alterations in brain size and organization represent some of the most distinctive changes in the emergence of our species. Yet, there is limited understanding of how genetic factors contributed to altered neuroanatomy during human evolution. Here, we analyze neuroimaging and genetic data from up to 30,000 people in the UK Biobank and integrate with genomic annotations for different aspects of human evolution, including those based on ancient DNA and comparative genomics. We show that previously reported signals of recent polygenic selection for cortical anatomy are not replicable in a more ancestrally homogeneous sample. We then investigate relationships between evolutionary annotations and common genetic variants shaping cortical surface area and white-matter connectivity for each hemisphere. Our analyses identify single-nucleotide polymorphism heritability enrichment in human-gained regulatory elements that are active in early brain development, affecting surface areas of several parts of the cortex, including left-hemispheric speech-associated regions. We also detect heritability depletion in genomic regions with Neanderthal ancestry for connectivity of the uncinate fasciculus; this is a white-matter tract involved in memory, language, and socioemotional processing with relevance to neuropsychiatric disorders. Finally, we show that common genetic loci associated with left-hemispheric pars triangularis surface area overlap with a human-gained enhancer and affect regulation of

Indexed as

Biological EvolutionBrainGenomicsNeuroimagingPolymorphism, Single NucleotideDNA, AncientHumansDNA, Ancientevolutiongeneticsneuroimaging

Identifiers

PMID36161899
PMCPMC9546597
OpenAlexW4297259035

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.