Evidence map›Paper›PMID 39509765›Full record

ArticlePsychiatry research2024

Real-time biopsychosocial antecedents and correlates of functional neurological symptoms in daily life: A pilot remote monitoring technology study.

Susannah Pick, L S Merritt Millman, Jessica Davies, John Hodsoll, Biba Stanton, Anthony S David, Mark J Edwards, Laura H Goldstein, Mitul A Mehta, Timothy R Nicholson and 4 more

Abstract read
In one paragraph

Article in Psychiatry research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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  5. 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.

Susannah PickInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: susannah.pick@kcl.ac.uk.
L S Merritt MillmanInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Jessica DaviesInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
John HodsollInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Biba StantonInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; King's College Hospital NHS Foundation Trust, United Kingdom.
Anthony S DavidInstutite of Mental Health, University College London, United Kingdom.
Mark J EdwardsInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Laura H GoldsteinInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Mitul A MehtaInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Timothy R NicholsonInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
A A T S ReindersInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Joel S WinstonInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; King's College Hospital NHS Foundation Trust, United Kingdom.
Trudie ChalderInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Matthew HotopfInstitute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; South London & Maudsley NHS Foundation Trust, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional neurological symptom disorder (FNSD) is a neuropsychiatric diagnosis referring to symptoms resembling those of neurological disorders, occurring without causal neuropathology. FNSD has a complex biopsychosocial aetiology but its mechanisms are poorly understood. Remote monitoring technologies (RMT) could provide critical insights into functional neurological symptoms (FNS) in real-world contexts. We examined the feasibility and acceptability of a novel RMT protocol, to identify psychobiological correlates and antecedents of FNS in everyday life. Seventeen individuals with FNS (seizures/motor) and 17 healthy controls (HC) completed ecological momentary assessments (EMA) eight times daily for 1-week, reporting FNS severity, associated physical and psychological symptoms, and subjectively significant events. Sleep quality was reported daily. Physiological variables were measured using wearable Fitbit 5 devices. Multilevel modelling examined variables associated with FNS variability. Average EMA completion rates were good in both groups (≥80%). At week-level, the FNS group reported significantly greater subjective arousal, pain, fatigue, dissociation, negative affect, daily events, stressful events, and sleep duration, compared to HC. Objective sleep disturbance and duration, and resting heartrate, were also significantly greater in the FNS sample. FNS severity correlated significantly with daily events, affect, subjective arousal, pain, fatigue and sleep disturbance, at day- or within-day levels. Daily events and negative affect were the most prominent time-lagged predictors of within-day moment-to-moment FNS severity. RMTs are feasible and acceptable tools for investigation of FNS in real-world settings, revealing daily events and negative affect as possible triggers of FNS. Interventions targeting affective reactivity and regulation might be beneficial in this group. Larger-scale, longer-term RMT studies are needed in this population.

Indexed as

Ecological Momentary AssessmentAdultConversion DisorderFeasibility StudiesFemaleHumansMaleMiddle AgedNervous System DiseasesPilot ProjectsRemote Sensing TechnologyWearable Electronic DevicesDigitalDissociative seizuresEcological momentary assessmentFunctional neurological disorderMobileNon*epileptic seizuresWearable

Identifiers

PMID39509765
PMCPMC11876104

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.