Evidence map›Paper›PMID 38685927›Full record

ArticleEClinicalMedicine2024

Efficacy of a gamified digital therapy for speech production in people with chronic aphasia (iTalkBetter): behavioural and imaging outcomes of a phase II item-randomised clinical trial.

Emily Upton, Catherine Doogan, Victoria Fleming, Pedro Quijada Leyton, David Barbera, Peter Zeidman, Tom Hope, William Latham, Henry Coley-Fisher, Cathy Price and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04566081 (Digital Interventions in Neuro-Rehabilitation), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT04566081 nacompletednot on this map

Digital Interventions in Neuro-Rehabilitation (DINR): A Digital Neuro Intervention (DNI) for Word Retrieval (Anomia)

TypeinterventionalSponsorUniversity College, LondonRan2020 to 2022Enrolled31ConditionsStroke, Aphasia, AnomiaArmsiTalkBetter Trained Items, iTalkBetter Untrained Items
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. 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

12 authors.

Emily UptonUCL Queen Square Institute of Neurology, University College London, UK.
Catherine DooganUCL Queen Square Institute of Neurology, University College London, UK.
Victoria FlemingDepartment of Psychology and Language Sciences, University College London, UK.
Pedro Quijada LeytonUCL Queen Square Institute of Neurology, University College London, UK.
David BarberaInstitute of Cognitive Neuroscience, University College London, UK.
Peter ZeidmanWellcome Centre for Human Neuroimaging, University College London, UK.
Tom HopeWellcome Centre for Human Neuroimaging, University College London, UK.
William LathamDepartment of Computing, Goldsmiths, University of London, UK.
Henry Coley-FisherThe Information Lab, UK.
Cathy PriceWellcome Centre for Human Neuroimaging, University College London, UK.
Jennifer CrinionInstitute of Cognitive Neuroscience, University College London, UK.
Alex LeffUCL Queen Square Institute of Neurology, University College London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Aphasia is among the most debilitating of symptoms affecting stroke survivors. Speech and language therapy (SLT) is effective, but many hours of practice are required to make clinically meaningful gains. One solution to this 'dosage' problem is to automate therapeutic approaches via self-supporting apps so people with aphasia (PWA) can amass practice as it suits them. However, response to therapy is variable and no clinical trial has yet identified the key brain regions required to engage with word-retrieval therapy. Methods: Between Sep 7, 2020 and Mar 1, 2022 at University College London in the UK, we carried out a phase II, item-randomised clinical trial in 27 PWA using a novel, self-led app, 'iTalkBetter', which utilises confrontation naming therapy. Unlike previously reported apps, it has a real-time utterance verification system that drives its adaptive therapy algorithm. Therapy items were individually randomised to provide balanced lists of 'trained' and 'untrained' items matched on key psycholinguistic variables and baseline performance. PWA practised with iTalkBetter over a 6-week therapy block. Structural and functional MRI data were collected to identify therapy-related changes in brain states. A repeated-measures design was employed. The trial was registered at ClinicalTrials.gov (NCT04566081). Findings: iTalkBetter significantly improved naming ability by 13% for trained items compared with no change for untrained items, an average increase of 29 words (SD = 26) per person; beneficial effects persisted at three months. PWA's propositional speech also significantly improved. iTalkBetter use was associated with brain volume increases in right auditory and left anterior prefrontal cortices. Task-based fMRI identified dose-related activity in the right temporoparietal junction. Interpretation: Our findings suggested that iTalkBetter significantly improves PWAs' naming ability on trained items. The effect size is similar to a previous RCT of computerised therapy, but this is the first study to show transfer to a naturalistic speaking task. iTalkBetter usage and dose caused observable changes in brain structure and function to key parts of the surviving language perception, production and control networks. iTalkBetter is being rolled-out as an app for all PWA and anomia: https://www.ucl.ac.uk/icn/research/research-groups/neurotherapeutics/projects/digital-interventions-neuro-rehabilitation-0 so that they can increase their dosage of practice-based SLT. Funding: National Institute for Health and Care Research, Wellcome Centre for Human Neuroimaging.

Indexed as

AphasiaComputerised therapyFunctional MRIRandomised controlled trialSpeech productionStructural MRI

Identifiers

PMID38685927
PMCPMC11056404

What OpenQuestion holds

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Registered trials

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.