Evidence map›Paper›PMID 28913349›Full record

ReviewBioMed research international2017

Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation.

Laura Carelli, Federica Solca, Andrea Faini, Paolo Meriggi, Davide Sangalli, Pietro Cipresso, Giuseppe Riva, Nicola Ticozzi, Andrea Ciammola, Vincenzo Silani and 1 more

Abstract readReview
In one paragraph

Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  15. A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  16. Article
  17. Brain-computer Interaction in the Smart Era.Current medical science · 2024
    Review
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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.

Laura CarelliDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.
Federica SolcaDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.ORCID 0000-0002-3274-3963
Andrea FainiDepartment of Cardiovascular, Neural and Metabolic Sciences, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.
Paolo MeriggiICT & Biomedical Technology Integration Unit, Centre for Innovation and Technology Transfer (CITT), Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy.
Davide SangalliDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.
Pietro CipressoApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.ORCID 0000-0002-0662-7678
Giuseppe RivaApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.ORCID 0000-0003-3657-106X
Nicola TicozziDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.ORCID 0000-0001-5963-7426
Andrea CiammolaDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.
Vincenzo SilaniDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.
Barbara PolettiDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy.ORCID 0000-0003-4398-2051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alongside the best-known applications of brain-computer interface (BCI) technology for restoring communication abilities and controlling external devices, we present the state of the art of BCI use for cognitive assessment and training purposes. We first describe some preliminary attempts to develop verbal-motor free BCI-based tests for evaluating specific or multiple cognitive domains in patients with Amyotrophic Lateral Sclerosis, disorders of consciousness, and other neurological diseases. Then we present the more heterogeneous and advanced field of BCI-based cognitive training, which has its roots in the context of neurofeedback therapy and addresses patients with neurological developmental disorders (autism spectrum disorder and attention-deficit/hyperactivity disorder), stroke patients, and elderly subjects. We discuss some advantages of BCI for both assessment and training purposes, the former concerning the possibility of longitudinally and reliably evaluating cognitive functions in patients with severe motor disabilities, the latter regarding the possibility of enhancing patients' motivation and engagement for improving neural plasticity. Finally, we discuss some present and future challenges in the BCI use for the described purposes.

Indexed as

BrainBrain-Computer InterfacesCognitionHumansNervous System DiseasesNeurofeedbackNeuronal Plasticity

Identifiers

PMID28913349
PMCPMC5587953

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.