Evidence map›Paper›PMID 29276055›Full record

ArticleNeuron2018

Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation.

Jakob Seidlitz, František Váša, Maxwell Shinn, Rafael Romero-Garcia, Kirstie J Whitaker, Petra E Vértes, Konrad Wagstyl, Paul Kirkpatrick Reardon, Liv Clasen, Siyuan Liu and 9 more

Abstract read
In one paragraph

Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 281 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
281citing papers in PubMed, 3 pooled it
–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

281 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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221 more citing papers are in PubMed but not listed here.

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

19 authors.

Jakob SeidlitzUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK; Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA. Electronic address: jakob.seidlitz@nih.gov.
František VášaUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK.
Maxwell ShinnUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK.
Rafael Romero-GarciaUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK.
Kirstie J WhitakerUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK.
Petra E VértesUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK.
Konrad WagstylUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK.
Paul Kirkpatrick ReardonDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA.
Liv ClasenDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA.
Siyuan LiuDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA.
Adam MessingerLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA.
David A LeopoldLaboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD 20892, USA; Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, Bethesda, MD 20892, USA.
Peter FonagyResearch Department of Clinical, Educational and Health Psychology, University College London, London WC1E 6BT, UK.
Raymond J DolanWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London WC1N 3BG, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK.
Peter B JonesUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Huntingdon PE29 3RJ, UK.
Ian M GoodyerUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Huntingdon PE29 3RJ, UK.
NSPN Consortium
Armin RaznahanDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA.
Edward T BullmoreUniversity of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Huntingdon PE29 3RJ, UK; ImmunoPsychiatry, Immuno-Inflammation Therapeutic Area Unit, GlaxoSmithKline R&D, Stevenage SG1 2NY, UK.

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
The Neural Underpinnings of Functional MRI NetworksZIAMH002896 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEOPOLD, DAVID A · 2009 to 2025
$13.6M
Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002949Medical Research Council G0001354Medical Research Council G1000183Medical Research Council MR/K020706/1Wellcome Trust
6 · The paper itself

Abstract

Macroscopic cortical networks are important for cognitive function, but it remains challenging to construct anatomically plausible individual structural connectomes from human neuroimaging. We introduce a new technique for cortical network mapping based on inter-regional similarity of multiple morphometric parameters measured using multimodal MRI. In three cohorts (two human, one macaque), we find that the resulting morphometric similarity networks (MSNs) have a complex topological organization comprising modules and high-degree hubs. Human MSN modules recapitulate known cortical cytoarchitectonic divisions, and greater inter-regional morphometric similarity was associated with stronger inter-regional co-expression of genes enriched for neuronal terms. Comparing macaque MSNs with tract-tracing data confirmed that morphometric similarity was related to axonal connectivity. Finally, variation in the degree of human MSN nodes accounted for about 40% of between-subject variability in IQ. Morphometric similarity mapping provides a novel, robust, and biologically plausible approach to understanding how human cortical networks underpin individual differences in psychological functions.

Indexed as

AnimalsCerebral CortexCognitionConnectomeFemaleHumansIntelligenceMacacaMagnetic Resonance ImagingMaleNeural PathwaysYoung Adultconnectomecross-speciescytoarchitecturegene expressionIQmacaquemorphologyMRImulti-modal

Identifiers

PMID29276055
PMCPMC5763517

What OpenQuestion holds

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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.