Evidence map›Paper›PMID 38448793›Full record

ReviewCerebellum (London, England)2024

Optimizing Communication in Ataxia: A Multifaceted Approach to Alternative and Augmentative Communication (AAC).

Adam P Vogel, Caroline Spencer, Katie Burke, Daniella de Bruyn, Peter Gibilisco, Scott Blackman, Jennifer M Vojtech, Thayabaran Kathiresan

Open access · hybridAbstract readReview
In one paragraph

Review in Cerebellum (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
12.0field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

8 authors at 4 institutions in 3 countries.

Adam P VogelCentre for Neuroscience of Speech, The University of Melbourne, 550 Swanston Street, Melbourne, VIC Australia, 3010, Australia. vogela@unimelb.edu.au.
Caroline SpencerDepartment of Speech, Language, and Hearing Sciences, Indiana University, Bloomington, USA.
Katie BurkeDepartment of Speech and Language Therapy, Tallaght University Hospital, Dublin, Ireland.
Daniella de BruynCentre for Neuroscience of Speech, The University of Melbourne, 550 Swanston Street, Melbourne, VIC Australia, 3010, Australia.
Peter GibiliscoSocial and Political Sciences, The University of Melbourne, Melbourne, Australia.
Scott BlackmanCentre for Neuroscience of Speech, The University of Melbourne, 550 Swanston Street, Melbourne, VIC Australia, 3010, Australia.
Jennifer M VojtechDelsys, Inc, Natick, MA, 01760, USA.
Thayabaran KathiresanCentre for Neuroscience of Speech, The University of Melbourne, 550 Swanston Street, Melbourne, VIC Australia, 3010, Australia.
University of Melbourne · AUDelsys (United States) · USIndiana University Bloomington · USTallaght University Hospital · IE

Funding

Australian Research Council 220100253
6 · The paper itself

Abstract

The progression of multisystem neurodegenerative diseases such as ataxia significantly impacts speech and communication, necessitating adaptive clinical care strategies. With the deterioration of speech, Alternative and Augmentative Communication (AAC) can play an ever increasing role in daily life for individuals with ataxia. This review describes the spectrum of AAC resources available, ranging from unaided gestures and sign language to high-tech solutions like speech-generating devices (SGDs) and eye-tracking technology. Despite the availability of various AAC tools, their efficacy is often compromised by the physical limitations inherent in ataxia, including upper limb ataxia and visual disturbances. Traditional speech-to-text algorithms and eye gaze technology face challenges in accuracy and efficiency due to the atypical speech and movement patterns associated with the disease.In addressing these challenges, maintaining existing speech abilities through rehabilitation is prioritized, complemented by advances in digital therapeutics to provide home-based treatments. Simultaneously, projects incorporating AI driven solutions aim to enhance the intelligibility of dysarthric speech through improved speech-to-text accuracy.This review discusses the complex needs assessment for AAC in ataxia, emphasizing the dynamic nature of the disease and the importance of regular reassessment to tailor communication strategies to the changing abilities of the individual. It also highlights the necessity of multidisciplinary involvement for effective AAC assessment and intervention. The future of AAC looks promising with developments in brain-computer interfaces and the potential of voice banking, although their application in ataxia requires further exploration.

Indexed as

AtaxiaCommunication Devices for People with DisabilitiesCommunicationCommunication DisordersHumansAACAtaxiaCommunicationDysarthriaLanguageNeurodegenerationSpeech

Identifiers

PMID38448793
PMCPMC11489254
OpenAlexW4392759147

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.