Evidence map›Paper›PMID 42315596›Full record

ArticleCommunications biology2026

Molecular and cellular correlates of human cortical lateralization.

Loïc Labache, Sidhant Chopra, Xi-Han Zhang, Avram J Holmes

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Loïc LabacheDepartment of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA. loic.labache@rutgers.edu.ORCID http://orcid.org/0000-0002-5733-0743
Sidhant ChopraOrygen, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0003-0866-3477
Xi-Han ZhangDepartment of Psychology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-2630-0063
Avram J HolmesDepartment of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.ORCID http://orcid.org/0000-0001-6583-803X

Funding

Functional genomics of the human connectome in psychiatric illnessR01MH120080 · NIMH · YALE UNIVERSITY · PI AVRAM J HOLMES, Thomas Boon Thye Yeo · 2019 to 2026
$4.8M
NIMH NIH HHS R01 MH120080U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH120080
6 · The paper itself

Abstract

Hemispheric specialization is a fundamental feature of human brain organization, with most individuals showing left hemisphere dominance for language and right hemisphere dominance for visuospatial attention. Although lateralized functions exist in other species, humans exhibit a pronounced, species-wide bias. Despite its evolutionary and functional significance, the molecular and cellular basis of this asymmetry remains unclear. Here, we identify neurochemical and cellular features associated with cortical lateralization. We show lateralized gradients in neurotransmitter receptor densities along the multimodal monoaminergic-cholinergic axis, alongside asymmetries in mitochondrial distribution and the prevalence of microglia and glutamatergic excitatory neurons. Integrating in vivo PET with post-mortem transcriptomic and cellular data, we delineate two cortical clusters: a left-lateralized language-related network and a right-lateralized visuospatial-related network. These findings reveal a biological substrate for lateralized cognition, with implications for evolution and neuropsychiatric disorders involving disrupted lateralization.

Indexed as

Cerebral CortexFunctional LateralityAdultFemaleHumansMaleMiddle AgedNeuronsPositron-Emission Tomography

Identifiers

PMID42315596
PMCPMC13639092

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.