Evidence map›Paper›PMID 31826838›Full record

ArticleDevelopmental cognitive neuroscience2020

Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.

Christiane S Rohr, Shanty Kamal, Signe Bray

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Developmental cognitive neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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

3 authors.

Christiane S RohrChild and Adolescent Imaging Research Program, The University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, The University of Calgary, Calgary, Alberta, Canada; The Owerko Centre, The University of Calgary, Calgary, Alberta, Canada; The Mathison Centre for Mental Health, The University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, The University of Calgary, Calgary, Alberta, Canada; Department of Radiology, Cumming School of Medicine, The University of Calgary, Calgary, Alberta, Canada. Electronic address: christiane.rohr@ucalgary.ca.
Shanty KamalChild and Adolescent Imaging Research Program, The University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, The University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, The University of Calgary, Calgary, Alberta, Canada.
Signe BrayChild and Adolescent Imaging Research Program, The University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, The University of Calgary, Calgary, Alberta, Canada; The Owerko Centre, The University of Calgary, Calgary, Alberta, Canada; The Mathison Centre for Mental Health, The University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, The University of Calgary, Calgary, Alberta, Canada; Department of Radiology, Cumming School of Medicine, The University of Calgary, Calgary, Alberta, Canada; Department of Paediatrics, Cumming School of Medicine, The University of Calgary, Calgary, Alberta, Canada. Electronic address: slbray@ucalgary.ca.

Funding

CIHR
6 · The paper itself

Abstract

Behavioral self-regulation develops rapidly during childhood and struggles in this area can have lifelong negative outcomes. Challenges with self-regulation are common to several neurodevelopmental conditions, including Autism Spectrum Disorder (ASD). Little is known about the neural expression of behavioral regulation in children with and without neurodevelopmental conditions. We examined whole-brain brain functional correlations (FC) and behavioral regulation through connectome predictive modelling (CPM). CPM is a data-driven protocol for developing predictive models of brain-behavior relationships and assessing their potential as 'neuromarkers' using cross-validation. The data stems from the ABIDE II and comprises 276 children with and without ASD (8-13 years). We identified networks whose FC predicted individual differences in behavioral regulation. These network models predicted novel individuals' inhibition and shifting from FC data in both a leave-one-out, and split halves, cross-validation. We observed commonalities and differences, with inhibition relying on more posterior networks, shifting relying on more anterior networks, and both involving regions of the DMN. Our findings substantially add to our knowledge on the neural expressions of inhibition and shifting across children with and without a neurodevelopmental condition. Given the numerous behavioral issues that can be quantified dimensionally, refinement of whole-brain neuromarker techniques may prove useful in the future.

Indexed as

AdolescentAutism Spectrum DisorderBrainChildFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysCognitive flexibilityConnectome predictive modellingFingerprintingInhibitionShifting

Identifiers

PMID31826838
PMCPMC6994646

What OpenQuestion holds

Textmetadata
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.