Evidence map›Paper›PMID 30783161›Full record

Trial reportScientific reports2019

The cingulum as a marker of individual differences in neurocognitive development.

Joe Bathelt, Amy Johnson, Mengya Zhang, Duncan E Astle

Abstract readClinical Trial, Phase IClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Making Connections: Neurodevelopmental Changes in Brain Connectivity After Adverse Experiences in Early Adolescence.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  11. Review
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  15. Reassessing associations between white matter and behaviour with multimodal microstructural imaging.Cortex; a journal devoted to the study of the nervous system and behavior · 2021
    Article
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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.

Joe BatheltMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom. joe.bathelt@mrc-cbu.cam.ac.uk.ORCID 0000-0001-5195-956X
Amy JohnsonMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Mengya ZhangMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Duncan E AstleMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.

Funding

Medical Research Council MC_UU_00005/2RCUK | Medical Research Council (MRC) MC-A0606-5PQ40
6 · The paper itself

Abstract

The canonical approach to exploring brain-behaviour relationships is to group individuals according to a phenotype of interest, and then explore the neural correlates of this grouping. A limitation of this approach is that multiple aetiological pathways could result in a similar phenotype, so the role of any one brain mechanism may be substantially underestimated. Building on advances in network analysis, we used a data-driven community-clustering algorithm to identify robust subgroups based on white-matter microstructure in childhood and adolescence (total N = 313, mean age: 11.24 years). The algorithm indicated the presence of two equal-size groups that show a critical difference in fractional anisotropy (FA) of the left and right cingulum. Applying the brain-based grouping in independent samples, we find that these different 'brain types' had profoundly different cognitive abilities with higher performance in the higher FA group. Further, a connectomics analysis indicated reduced structural connectivity in the low FA subgroup that was strongly related to reduced functional activation of the default mode network. These results provide a proof-of-concept that bottom-up brain-based groupings can be identified that relate to cognitive performance. This provides a first demonstration of a complimentary approach for investigating individual differences in brain structure and function, particularly for neurodevelopmental disorders where researchers are often faced with phenotypes that are difficult to define at the cognitive or behavioural level.

Indexed as

CognitionDiffusion Tensor ImagingIndividualityNeurodevelopmental DisordersWhite MatterAdolescentBrainChildFemaleHumansMale

Identifiers

PMID30783161
PMCPMC6381161

What OpenQuestion holds

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LicenceCC BY
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.