Evidence map›Paper›PMID 37854065›Full record

ReviewFrontiers in neurology2023

Computer-assisted cognitive rehabilitation in neurological patients: state-of-art and future perspectives.

Maria Grazia Maggio, Daniela De Bartolo, Rocco Salvatore Calabrò, Irene Ciancarelli, Antonio Cerasa, Paolo Tonin, Fulvia Di Iulio, Stefano Paolucci, Gabriella Antonucci, Giovanni Morone and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 5 pooled it
10.7field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 5 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Digital Cognitive Rehabilitation Platforms for Older Adults in Portugal: A Systematic Review.International journal of environmental research and public health · 2026
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  9. Preventive strategies in neuroimmunology.Neurological research and practice · 2026
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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

11 authors at 8 institutions in 2 countries.

Maria Grazia MaggioIRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy.
Daniela De BartoloDepartment of Human Movement Sciences, Faculty of Behavioral and Movement Sciences, Amsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Rocco Salvatore CalabròIRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy.
Irene CiancarelliDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Antonio CerasaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy, Messina, Italy.
Paolo ToninS'Anna Institute, Crotone, Italy.
Fulvia Di IulioIRCCS Santa Lucia Foundation, Rome, Italy.
Stefano PaolucciIRCCS Santa Lucia Foundation, Rome, Italy.
Gabriella AntonucciDepartment of Psychology, Sapienza University of Rome, Rome, Italy.
Giovanni MoroneDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Marco IosaIRCCS Santa Lucia Foundation, Rome, Italy.
Centro Neurolesi Bonino Pulejo · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of L'Aquila · ITFondazione Santa Lucia · ITIstituto S.Anna Crotone · ITSapienza University of Rome · ITUniversity of Calabria · ITVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Advances in computing technology enabled researchers and clinicians to exploit technological devices for cognitive training and rehabilitation interventions. This expert review aims to describe the available software and device used for cognitive training or rehabilitation interventions of patients with neurological disorders. Methods: A scoping review was carried out to analyze commercial devices/software for computerized cognitive training (CCT) in terms of feasibility and efficacy in both clinical and home settings. Several cognitive domains responding to the different patients' needs are covered. Results: This review showed that cognitive training for patients with neurological diseases is largely covered by several devices that are widely used and validated in the hospital setting but with few translations to remote/home applications. It has been demonstrated that technology and software-based devices are potential and valuable tools to administer remotely cognitive rehabilitation with accessible costs. Conclusion: According to our results, CCT entails the possibility to continue cognitive training also in different settings, such as home, which is a significant breakthrough for the improvement of community care. Other possible areas of use should be the increase in the amount of cognitive therapy in the free time during the hospital stay.

Indexed as

attentioncognitive rehabilitationcomputer-basedexecutive functionsmemoryrehabilitationrehabilitation softwaretelerehabilitation

Identifiers

PMID37854065
PMCPMC10580980
OpenAlexW4387214920

What Socratic 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 Socratic graph.