Evidence map›Paper›PMID 39803427›Full record

ArticlebioRxiv : the preprint server for biology2025

The brain cortical similarity network: Development and sensitivity to early life stress in a rat model.

Rachel L Smith, Stephen J Sawiak, Lena Dorfschmidt, Ethan G Dutcher, Jolyon A Jones, Joel D Hahn, Olaf Sporns, Larry W Swanson, Paul A Taylor, Daniel R Glen and 5 more

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

5 · Who and what money

Authors and funding

15 authors.

Rachel L SmithDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.ORCID 0009-0001-5318-219X
Stephen J SawiakBehavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, Cambridge, UK.
Lena DorfschmidtDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.
Ethan G DutcherDepartment of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK.
Jolyon A JonesBehavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, Cambridge, UK.
Joel D HahnDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA 90089.
Olaf SpornsIndiana University Network Science Institute, Indiana University, Bloomington, IN, USA 47405.
Larry W SwansonDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA 90089.
Paul A TaylorScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, MD, USA 20892.
Daniel R GlenScientific and Statistical Computing Core, National Institute of Mental Health, NIH, Bethesda, MD, USA 20892.
Jeffrey W DalleyDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.ORCID 0000-0002-2282-3660
Francis J McMahonHuman Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA 20892.
Armin RaznahanHuman Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA 20892.
Petra E VértesDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.
Edward T BullmoreDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.

Funding

Mapping genes that contribute to bipolar disorderZIAMH002810 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$31.2M
Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Identification of Genes Involved in Major Mood DisordersZIAMH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$24.5M
Intramural NIH HHS ZIA MH002810Intramural NIH HHS ZIA MH002843Intramural NIH HHS ZIA MH002949Intramural NIH HHS ZIC MH002888
6 · The paper itself

Abstract

Understanding how early life experiences shape brain network development is a key challenge in the neuroscience of mental health disorders. To address this, we used magnetic resonance imaging (MRI) similarity network analysis to study the effects of stress in the rat, an important animal model in neuropsychiatry. We measured magnetization transfer ratio (MTR) at each of 53 distinct cortical areas and estimated a cortical similarity network for each individual scan, in two independent experimental datasets. We first characterized normative network development in rats scanned repeatedly between postnatal days 20 (weanling) and 290 (mid-adulthood) (N=47), and then contrasted these findings with a cohort exposed to early life stress in the form of repeated maternal separation (RMS, N=40). The normative rat cortical similarity network exhibited biologically meaningful organization, aligning with prior cytoarchitectonic and tract-tracing data, and displayed complex topological features, including rich club organization. During postnatal and adolescent development, brain regions became more similar, including an early phase of fronto-hippocampal convergence. Early increases in inter-areal similarity were reversed in a later phase of fronto-hippocampal divergence in mid-adulthood. RMS exposure altered inter-areal similarity, especially between frontal and parahippocampal regions, that were also most active developmentally and in aging. Our results reveal how normative cortical network changes in the developing brain are influenced by early life stress. These findings suggest a new translational framework for elucidating how environmental risk factors lead to atypical development of cortical networks.

Indexed as

architectomeconnectomemicro-structural MRIstructural similaritytranslational neuroscience

Identifiers

PMID39803427
PMCPMC11722359

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LicenceCC BY-NC-ND
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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.