Evidence map›Paper›PMID 39423803›Full record

ReviewCell2024

Unraveling mechanisms of human brain evolution.

Madeline A Lancaster

Abstract readReview
In one paragraph

Review in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Evolutionary Restructuring and Systematic Review of theJournal of developmental biology · 2026
    Review
  8. Article
  9. Modeling pediatric brain tumors with human stem cells.Frontiers in cellular neuroscience · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Unraveling the brain-joint axis: genetic, transcriptomic, and cohort insights from neuroticism to osteoarthritis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  15. Modelling human brain development and disease with organoids.Nature reviews. Molecular cell biology · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Review
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

1 author.

Madeline A LancasterMRC Laboratory of Molecular Biology, Cambridge, UK; Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK. Electronic address: madeline.lancaster@mrc-lmb.cam.ac.uk.

Funding

Medical Research Council MC_UP_1201/9
6 · The paper itself

Abstract

Evolutionary changes in human brain structure and function have enabled our specialized cognitive abilities. How these changes have come about genetically and functionally has remained an open question. However, new methods are providing a wealth of information about the genetic, epigenetic, and transcriptomic differences that set the human brain apart. Combined with in vitro models that allow access to developing brain tissue and the cells of our closest living relatives, the puzzle pieces are now coming together to yield a much more complete picture of what is actually unique about the human brain. The challenge now will be linking these observations and making the jump from correlation to causation. However, elegant genetic manipulations are now possible and, when combined with model systems such as organoids, will uncover a mechanistic understanding of how evolutionary changes at the genetic level have led to key differences in development and function that enable human cognition.

Indexed as

Biological EvolutionBrainAnimalsCognitionEpigenesis, GeneticHumansbraindevelopmentevolutionhuman evolutionneuroscienceorganoids

Identifiers

PMID39423803
PMCPMC7617105

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.