Evidence map›Paper›PMID 38610540›Full record

ArticleSensors (Basel, Switzerland)2024

Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain-Computer Interface Study.

Livio Clemente, Marianna La Rocca, Giulia Paparella, Marianna Delussi, Giusy Tancredi, Katia Ricci, Giuseppe Procida, Alessandro Introna, Antonio Brunetti, Paolo Taurisano and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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
0.3field-weighted citation impact, top 46% 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, 1 citations in OpenAlex.

  1. Article
  2. Application and Research Progress of BCI in Post-Stroke Psychiatric Disorders: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    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

12 authors at 2 institutions in 2 countries.

Livio ClementeTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.ORCID 0000-0001-5463-0460
Marianna La RoccaInterateneo Department of Fisica 'M. Merlin', University of Bari, 70125 Bari, Italy.
Giulia PaparellaTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.
Marianna DelussiTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.ORCID 0000-0002-5888-3024
Giusy TancrediTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.
Katia RicciTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.ORCID 0000-0002-4883-6435
Giuseppe ProcidaTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.
Alessandro IntronaTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.ORCID 0000-0002-3141-6442
Antonio BrunettiElectrical and Information Engineering Department, Polytechnic of Bari, 70125 Bari, Italy.ORCID 0000-0002-1934-0983
Paolo TaurisanoTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.ORCID 0000-0001-6140-9326
Vitoantonio BevilacquaElectrical and Information Engineering Department, Polytechnic of Bari, 70125 Bari, Italy.ORCID 0000-0002-3088-0788
Marina de TommasoTranslational Biomedicine and Neuroscience (DiBraiN) Department, University of Bari, 70124 Bari, Italy.ORCID 0000-0001-6567-5373
Advanced Neural Dynamics (United States) · USUniversity of Southern California · US

Funding

Regione Puglia POR Puglia FESR-FSE 2014-2020 - Asse I - Azione 1.4.b
6 · The paper itself

Abstract

In the field of neuroscience, brain-computer interfaces (BCIs) are used to connect the human brain with external devices, providing insights into the neural mechanisms underlying cognitive processes, including aesthetic perception. Non-invasive BCIs, such as EEG and fNIRS, are critical for studying central nervous system activity and understanding how individuals with cognitive deficits process and respond to aesthetic stimuli. This study assessed twenty participants who were divided into control and impaired aging (AI) groups based on MMSE scores. EEG and fNIRS were used to measure their neurophysiological responses to aesthetic stimuli that varied in pleasantness and dynamism. Significant differences were identified between the groups in P300 amplitude and late positive potential (LPP), with controls showing greater reactivity. AI subjects showed an increase in oxyhemoglobin in response to pleasurable stimuli, suggesting hemodynamic compensation. This study highlights the effectiveness of multimodal BCIs in identifying the neural basis of aesthetic appreciation and impaired aging. Despite its limitations, such as sample size and the subjective nature of aesthetic appreciation, this research lays the groundwork for cognitive rehabilitation tailored to aesthetic perception, improving the comprehension of cognitive disorders through integrated BCI methodologies.

Indexed as

Brain-Computer InterfacesAgingBrainEstheticsHumansPerceptionaestheticBCIEEGfNIRSimpaired aging

Identifiers

PMID38610540
PMCPMC11014209
OpenAlexW4394577574

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.