Evidence map›Paper›PMID 39109842›Full record

ArticleEuropean journal of neurology2024

Real-world smartphone data can trace the behavioural impact of epilepsy: A case study.

Arthur R van Nieuw Amerongen, Anne Marthe Meppelink, Arko Ghosh, Roland D Thijs

Abstract readCase Reports
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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.

Arthur R van Nieuw AmerongenStichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands.ORCID 0000-0001-8375-5975
Anne Marthe MeppelinkStichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands.
Arko GhoshCognitive Psychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-2924-5146
Roland D ThijsStichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands.ORCID 0000-0003-1435-8970

Funding

Health-HollandTop Sector Life Sciences & Health Netherlands Organization for Health Research and Development (ZonMW) [Brain@home] 114025101
6 · The paper itself

Abstract

backgroundNeurobehavioural comorbidities have a detrimental effect on the quality of life of people with epilepsy, yet tracking their impact is challenging as behaviour may vary with seizures and anti-seizure medication (ASM) side effects. Smartphones have the potential to monitor day-to-day neurobehavioural patterns objectively. We present the case of a man in his late twenties with drug-resistant focal epilepsy in whom we ascertained the effects of ASM withdrawal and a convulsive seizure on his touchscreen interactions.

methodsUsing a dedicated app, we recorded over 185 days the timestamps of 718,357 interactions. We divided the various smartphone behaviours according to the next-interval dynamics of the interactions by using a joint interval distribution (JID). During two ASM load transitions, namely before versus during tapering and tapering versus restarting medication, we used cluster-based permutation tests to compare the JIDs. We also compared the JID of the seizure day to the average of the previous 3 days.

resultsThe cluster-based permutation tests revealed significant differences, with accelerated next-interval dynamics during tapering and a reversal upon medication restart. The day of the convulsion exhibited a marked slowing of next-interval dynamics compared to the preceding 3 days.

conclusionOur findings suggest that the temporal dynamics of smartphone touchscreen interactions may help monitor neurobehavioural comorbidities in neurological care.

Indexed as

EpilepsySmartphoneAdultAnticonvulsantsDrug Resistant EpilepsyHumansMaleMobile ApplicationsAnticonvulsantsdrug side effectsepilepsyhealth technologyneurobehavioral manifestationssmartphone

Identifiers

PMID39109842
PMCPMC11555023

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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.