Evidence map›Paper›PMID 36002964›Full record

ArticleNeuroImage. Clinical2022

Altered resting-state neural networks in children and adolescents with functional neurological disorder.

Sabina Rai, Sheryl Foster, Kristi R Griffiths, Isabella A Breukelaar, Kasia Kozlowska, Mayuresh S Korgaonkar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Imaging biomarkers in functional neurological disorders.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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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

6 authors.

Sabina RaiBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Psychiatry, Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Sheryl FosterSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Radiology, Westmead Hospital, Westmead, New South Wales, Australia.
Kristi R GriffithsBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia.
Isabella A BreukelaarBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; School of Psychology, University of New South Wales, Sydney, Australia.
Kasia KozlowskaBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; The Children's Hospital at Westmead, Sydney Children's Hospital Network, Sydney, Australia; Child and Adolescent Health, Children's Hospital Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. Electronic address: kkoz6421@uni.sydney.edu.au.
Mayuresh S KorgaonkarBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Psychiatry, Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious studies with adults suggest that aberrant communication between neural networks underpins functional neurological disorder (FND). The current study adopts a data-driven approach to investigate the extent that functional resting-state networks are disrupted in a pediatric mixed-FND cohort.

methods31 children with mixed FND and 33 age- and sex-matched healthy controls completed resting-state fMRI scans. Whole-brain independent component analysis (pFWE < 0.05) was then used to identify group differences in resting-state connectivity. Self-report measures included the Depression, Anxiety and Stress Scale (DASS-21) and Early Life Stress Questionnaire (ELSQ). Resting-state heart rate (HR) and cortisol-awakening response (CAR) were available in a subset.

resultsChildren with FND showed wide-ranging connectivity changes in eight independent components corresponding to eight resting-state neural networks: language networks (IC6 and IC1), visual network, frontoparietal network, salience network, dorsal attention network, cerebellar network, and sensorimotor network. Children whose clinical presentation included functional seizures (vs children with other FND symptoms) showed greater connectivity decreases in the frontoparietal and dorsal attentional networks. Subjective distress (total DASS score), autonomic arousal (indexed by HR), and HPA dysregulation (attenuated/reversed CAR) contributed to changes in neural network connectivity. Children with FND (vs controls) reported more subjective distress (total DASS score) and more adverse childhood experiences (ACEs) across their lifespan.

conclusionsChildren with FND demonstrate changes in resting-state connectivity. Identified network alterations underpin a broad range of functions typically disrupted in children with FND. This study complements the adult literature by suggesting that FND in children and adolescents emerges in the context of their lived experience and that it reflects aberrant communication across neural networks.

Indexed as

Brain MappingConversion DisorderAdolescentAdultBrainChildHumansMagnetic Resonance ImagingNeural Networks, ComputerNeural PathwaysAdverse childhood experiencesChildren and adolescentsConversion disorderFunctional neurological disorder (FND)Functional seizuresResting-state fMRI

Identifiers

PMID36002964
PMCPMC9421459

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.