Evidence map›Paper›PMID 34126956›Full record

ArticleBMC neurology2021

The role of a virtual avatar in attention and memory tasks in Rett syndrome.

Rosa Angela Fabio, Giorgia Pergolizzi, Andrea Nucita, Giancarlo Iannizzotto, Tindara Caprì

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2021. 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
0.5field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Rosa Angela FabioDepartment of Experimental and Clinical Medicine, University of Messina, Via Bivona, 98122, Messina, Italy. rafabio@unime.it.ORCID http://orcid.org/0000-0001-7065-1528
Giorgia PergolizziDepartment of Experimental and Clinical Medicine, University of Messina, Via Bivona, 98122, Messina, Italy.
Andrea NucitaDepartment of Cognitive Sciences, Psychological, Educational and Cultural Studies, University of Messina, Via Concezione, 6, 98122, Messina, Italy.
Giancarlo IannizzottoDepartment of Cognitive Sciences, Psychological, Educational and Cultural Studies, University of Messina, Via Concezione, 6, 98122, Messina, Italy.
Tindara CaprìDepartment of Experimental and Clinical Medicine, University of Messina, Via Bivona, 98122, Messina, Italy.
University of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince subjects with Rett syndrome (RTT) focus their attention mainly on the faces of people with whom they interact, in this study the role of a human-like smart interactive agent (an avatar) in enhancing cognitive processes is examined. More in depth, this study aimed to understand if, and to what extent, the use of an avatar can improve attention and memory abilities in subjects with RTT.

methodThirty-six subjects with RTT participated in the study. All participants performed over-selectivity and memory tasks, for a total of six trials. These trials were randomly presented in two different conditions: with and without virtual avatar.

resultsThe results indicated that the participants improved their attention and memory abilities when they performed the tasks with the avatar. There were no improvements when they performed the tasks without the avatar. DISCUSSION: The results were discussed considering the relationship between motivation, attention and memory in RTT.

Indexed as

Rett SyndromeVirtual RealityAttentionHumansMemoryAttentionAvatarMemoryOver-selectivityRett syndrome

Identifiers

PMID34126956
PMCPMC8201674
OpenAlexW3170935346

What OpenQuestion holds

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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.