Evidence map›Paper›PMID 39121162›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Human adolescent brain similarity development is different for paralimbic versus neocortical zones.

Lena Dorfschmidt, František Váša, Simon R White, Rafael Romero-García, Manfred G Kitzbichler, Aaron Alexander-Bloch, Matthew Cieslak, Kahini Mehta, Theodore D Satterthwaite, NSPN Consortium and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  9. Human adolescent brain similarity development is different for paralimbic versus neocortical zones.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

14 authors.

Lena DorfschmidtDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.ORCID 0000-0002-0447-1104
František VášaDepartment of Neuroimaging, King's College London, London SE5 8AF, United Kingdom.
Simon R WhiteDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.ORCID 0000-0001-8642-7037
Rafael Romero-GarcíaDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.
Manfred G KitzbichlerDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.
Aaron Alexander-BlochDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-6554-1893
Matthew CieslakDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
Kahini MehtaDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-7072-9399
NSPN Consortium
Richard A I BethlehemDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.ORCID 0000-0002-0714-0685
Jakob SeidlitzDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
Petra E VértesDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.ORCID 0000-0002-0992-3210
Edward T BullmoreDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom.ORCID 0000-0002-8955-8283

Funding

Autism Research Trust NACenter for Integrative Neuroscience Discovery NAEmergia Junta de Andalucia PID2021-122853OA-I00Gates Cambridge NANIHR Biomedical Research Center NAWellcome TrustWellcome Trust Strategic Award 095844/Z/11/Z
6 · The paper itself

Abstract

Adolescent development of human brain structural and functional networks is increasingly recognized as fundamental to emergence of typical and atypical adult cognitive and emotional proodal magnetic resonance imaging (MRI) data collected from N [Formula: see text] 300 healthy adolescents (51%; female; 14 to 26 y) each scanned repeatedly in an accelerated longitudinal design, to provide an analyzable dataset of 469 structural scans and 448 functional MRI scans. We estimated the morphometric similarity between each possible pair of 358 cortical areas on a feature vector comprising six macro- and microstructural MRI metrics, resulting in a morphometric similarity network (MSN) for each scan. Over the course of adolescence, we found that morphometric similarity increased in paralimbic cortical areas, e.g., insula and cingulate cortex, but generally decreased in neocortical areas, and these results were replicated in an independent developmental MRI cohort (N [Formula: see text] 304). Increasing hubness of paralimbic nodes in MSNs was associated with increased strength of coupling between their morphometric similarity and functional connectivity. Decreasing hubness of neocortical nodes in MSNs was associated with reduced strength of structure-function coupling and increasingly diverse functional connections in the corresponding fMRI networks. Neocortical areas became more structurally differentiated and more functionally integrative in a metabolically expensive process linked to cortical thinning and myelination, whereas paralimbic areas specialized for affective and interoceptive functions became less differentiated, as hypothetically predicted by a developmental transition from periallocortical to proisocortical organization of the cortex. Cytoarchitectonically distinct zones of the human cortex undergo distinct neurodevelopmental programs during typical adolescence.

Indexed as

Magnetic Resonance ImagingNeocortexAdolescentAdolescent DevelopmentAdultBrainBrain MappingFemaleHumansMaleNerve NetYoung Adultadolescence centralityconnectomegraphisocortexneuroimaging

Identifiers

PMID39121162
PMCPMC11331068

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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.