Evidence map›Paper›PMID 25212263›Full record

ReviewCurrent opinion in genetics & development2014

Molecular networks and the evolution of human cognitive specializations.

Miles Fontenot, Genevieve Konopka

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Miles FontenotDepartment of Neuroscience, UT Southwestern Medical Center, Dallas, TX, USA.
Genevieve KonopkaDepartment of Neuroscience, UT Southwestern Medical Center, Dallas, TX, USA. Electronic address: genevieve.konopka@utsouthwestern.edu.

Funding

FOXP2-Regulated Signaling Pathways Critical for Higher Cognitive FunctionsR00MH090238 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KONOPKA, GENEVIEVE · 2011 to 2013
$856k
NIMH NIH HHS R00 MH090238NIMH NIH HHS R00MH090238
6 · The paper itself

Abstract

Inroads into elucidating the origins of human cognitive specializations have taken many forms, including genetic, genomic, anatomical, and behavioral assays that typically compare humans to non-human primates. While the integration of all of these approaches is essential for ultimately understanding human cognition, here, we review the usefulness of coexpression network analysis for specifically addressing this question. An increasing number of studies have incorporated coexpression networks into brain expression studies comparing species, disease versus control tissue, brain regions, or developmental time periods. A clearer picture has emerged of the key genes driving brain evolution, as well as the developmental and regional contributions of gene expression patterns important for normal brain development and those misregulated in cognitive diseases.

Indexed as

Biological EvolutionCognitionGene Regulatory NetworksCognition DisordersGene Expression ProfilingGenetic Predisposition to DiseaseHumansModels, GeneticModels, Psychological

Identifiers

PMID25212263
PMCPMC4258458

What OpenQuestion holds

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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 OpenQuestion graph.