iTalkBetter App Significantly Improves Speech in Stroke Patients

A UCL-developed app that provides speech therapy for people with the language disorder aphasia has been found to significantly improve their ability to talk.

iTalkBetter, developed by the Neurotherapeutics Group at the UCL Queen Square Institute of Neurology, provides users the digital platform to practice over 200 commonly used words, in their own time and without any limits on the amount of therapy they receive.

While employing games to maintain engagement, the app’s integrated speech recogniser analyses speech in real time to give the user feedback on whether they have named the displayed item correctly.

A new study, published in eClinicalMedicine, found that when used over a six-week period for around 90 minutes per day, iTalkBetter significantly improved patients’ ability to name items by 13% for the 200 commonly used words. Importantly, spontaneous speech was also found to improve.

Aphasia occurs when a person suffers brain damage, usually to the organ’s left side, leading to difficulties with speech or language. The most common causes are stroke, severe head injury and brain tumours.

Symptoms can vary widely from person to person. However, most people with aphasia have some trouble with their speaking, and may also experience issues with writing, reading and listening.

Currently, the NHS provides around 12 hours of speech and language therapy with further face-to-face therapy available via some charities or privately.

Corresponding author, Professor Alex Leff (UCL Institute of Cognitive Neuroscience and UCL Queen Square Institute of Neurology), said: “Most health care systems massively under dose people with aphasia in terms of the hours of speech language therapy that they are provided with. App delivered therapy is one solution to this problem.

"This is the first randomised controlled trial of an app designed to improve speaking that transfers to a naturalistic speaking task and show an effect on connected speech."

The researchers tested the app in a phase II randomised clinical trial on 27 people with aphasia as a result of a stroke, between September 2020 and March 2022.

Researchers also used structural and functional magnetic resonance imaging (MRI) to see what happened in the brains of participants when using the app.

Structurally, they found that brain regions related to language perception, production and control increased in volume after practice with iTalkBetter.

Professor Leff added: "This is the first task-based fMRI study in people with aphasia to identify dose-related changes in brain function. The more people with aphasia practiced, the more they were able to activate key auditory processing areas in the undamaged hemisphere."

iTalkBetter will soon be rolled out as an app available to all suitable patients to use.

The research was funded by the National Institute for Health and Care Research (NIHR) with support from Wellcome.

Upton E, Doogan C, Fleming V, Leyton PQ, Barbera D, Zeidman P, Hope T, Latham W, Coley-Fisher H, Price C, Crinion J, Leff A.
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.
EClinicalMedicine, 2024. doi: 10.1016/j.eclinm.2024.102483

Most Popular Now

AI may Help Clinicians Personalize Treat…

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI)...

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Can AI Help Detect Cognitive Impairment?

Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing...

AI can Open Up Beds in the ICU

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

Patients' Affinity for AI Messages …

In a Duke Health-led survey, patients who were shown messages written either by artificial intelligence (AI) or human clinicians indicated a preference for responses drafted by AI over a human...

New Research Explores How AI can Build T…

In today’s economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

New AI Tool Accelerates Disease Treatmen…

University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by...