Evidence map›Paper›PMID 36211132›Full record

ArticleFrontiers in human neuroscience2022

Effects of a new speech support application on intensive speech therapy and changes in functional brain connectivity in patients with post-stroke aphasia.

Yuta Katsuno, Yoshino Ueki, Keiichi Ito, Satona Murakami, Kiminori Aoyama, Naoya Oishi, Hirohito Kan, Noriyuki Matsukawa, Katashi Nagao, Hiroshi Tatsumi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

10 authors at 5 institutions in 1 country.

Yuta KatsunoDepartment of Rehabilitation Medicine, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
Yoshino UekiDepartment of Rehabilitation Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Keiichi ItoDepartment of Rehabilitation Medicine, Kamiida Rehabilitation Hospital, Nagoya, Japan.
Satona MurakamiDepartment of Rehabilitation Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Kiminori AoyamaDepartment of Rehabilitation Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Naoya OishiMedical Innovation Centre, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Hirohito KanDepartment of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Noriyuki MatsukawaDepartment of Neurology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Katashi NagaoDepartment of Intelligent Systems, Graduate School of Informatics, Nagoya University, Nagoya, Japan.
Hiroshi TatsumiDepartment of Health Science, Aichi Gakuin University, Nagoya, Japan.
Nagoya City University · JPNagoya University · JPAichi Gakuin University · JPJapanese Red Cross Nagoya Daini Hospital · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aphasia is a language disorder that occurs after a stroke and impairs listening, speaking, reading, writing, and calculation skills. Patients with post-stroke aphasia in Japan are increasing due to population aging and the advancement of medical treatment. Opportunities for adequate speech therapy in chronic stroke are limited due to time constraints. Recent studies have reported that intensive speech therapy for a short period of time or continuous speech therapy using high-tech equipment, including speech applications (apps, can improve aphasia even in the chronic stage. However, its underlying mechanism for improving language function and its effect on other cognitive functions remains unclear. In the present study, we investigated whether intensive speech therapy using a newly developed speech support app could improve aphasia and other cognitive functions in patients with chronic stroke. Furthermore, we examined whether it can alter the brain network related to language and other cortical areas. Thus, we conducted a prospective, single-comparison study to examine the effects of a new speech support app on language and cognitive functions and used resting state functional MRI (rs-fMRI) regions of interest (ROI) to ROI analysis to determine changes in the related brain network. Two patients with chronic stroke participated in this study. They used the independent speech therapy system to perform eight sets of 20 randomly presented words/time (taking approximately 20 min), for 8 consecutive weeks. Their language, higher cognitive functions including attention function, and rs-fMRI, were evaluated before and after the rehabilitation intervention using the speech support app. Both patients had improved pronunciation, daily conversational situations, and attention. The rs-fMRI analysis showed increased functional connectivity of brain regions associated with language and attention related areas. Our results show that intensive speech therapy using this speech support app can improve language and attention functions even in the chronic stage of stroke, and may be a useful tool for patients with aphasia. In the future, we will conduct longitudinal studies with larger numbers of patients, which we hope will continue the trends seen in the current study, and provide even stronger evidence for the usefulness of this new speech support app.

Indexed as

aphasiafunctional connectivitylanguage networkresting-state functional magnetic resonance imagingspeech support application

Identifiers

PMID36211132
PMCPMC9535658
OpenAlexW4296640202

What OpenQuestion holds

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LicenceCC BY
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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.