Evidence map›Paper›PMID 41332781›Full record

ArticlebioRxiv : the preprint server for biology2025

The molecular and cellular underpinnings of human brain lateralization.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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, US-NJ 08854.ORCID 0000-0002-5733-0743
Sidhant ChopraOrygen, Melbourne, AU-VIC 3052.ORCID 0000-0003-0866-3477
Xi-Han Zhang 张喜寒Department of Psychology, Yale University, New Haven, US-CT 06520.ORCID 0000-0003-2630-0063
Avram J HolmesDepartment of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, US-NJ 08854.ORCID 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 MH120080
6 · The paper itself

Abstract

Hemispheric specialization is a fundamental characteristic of human brain organization, where most individuals exhibit left-hemisphere dominance for language and right-hemisphere dominance for visuospatial attention. While some lateralized functions are evident in other species, the human brain displays a strong, species-wide bias. Despite the evolutionary and functional significance of these asymmetries, their molecular and cellular foundations remain poorly understood. Here, we identify key neurochemical and cellular asymmetries that underpin cortical lateralization. Specifically, we demonstrate lateralized gradients in neurotransmitter receptor densities, particularly along the multimodal monoaminergic-cholinergic axis, as well as asymmetries in mitochondrial distribution and the spatial prevalence of microglia and glutamatergic excitatory neurons. Using a multimodal approach that integrates in vivo functional MRI, PET imaging, and post-mortem transcriptomic and cellular data, we delineate two distinct cortical clusters: a left-lateralized network centered on language processing and a right-lateralized network supporting visuospatial attention. These results highlight a biologically embedded substrate for lateralized cognition that may inform both evolutionary theory and our mechanistic understanding of neuropsychiatric illnesses characterized by disrupted lateralization.

Identifiers

PMID41332781
PMCPMC12667823

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.