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This work was supported by Conselleria d'Innovacio, Universitats, Ciencia i Societat Digital of Generalitat Valenciana [grant number CIDEXG/2022/15] and by Ministerio de Ciencia e Innovacion [grant number PID2022-141498OA-I00]. Funding for open access charge: CRUE-Universitat Politecnica de Valencia

Analysis of institutional authors

Goizueta, SandraAuthorNaranjo, ValeryAuthorLlorens, RobertoCorresponding Author

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November 17, 2024
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EEG-based responses of patients with disorders of consciousness and healthy controls to familiar and non-familiar emotional videos

Publicated to:Clinical Neurophysiology. 168 104-120 - 2024-12-01 168(), DOI: 10.1016/j.clinph.2024.10.010

Authors: Maza, Anny; Goizueta, Sandra; Navarro, Maria Dolores; Noe, Enrique; Ferri, Joan; Naranjo, Valery; Llorens, Roberto

Affiliations

Fdn Hosp Vithas, IRENEA, Inst Rehabil Neurol, Valencia, Spain - Author
Univ Politecn Valencia, Inst Human Ctr Technol Res, Camino Vera S-N, Valencia 46011, Spain - Author

Abstract

Objective: To investigate the differences in the brain responses of healthy controls (HC) and patients with disorders of consciousness (DOC) to familiar and non-familiar audiovisual stimuli and their consistency with the clinical progress. Methods: EEG responses of 19 HC and 19 patients with DOC were recorded while watching emotionally-valenced familiar and non-familiar videos. Differential entropy of the EEG recordings was used to train machine learning models aimed to distinguish brain responses to stimuli type. The consistency of brain responses with the clinical progress of the patients was also evaluated. Results: Models trained using data from HC outperformed those for patients. However, the performance of the models for patients was not influenced by their clinical condition. The models were successfully trained for over 75% of participants, regardless of their clinical condition. More than 75% of patients whose CRS-R scores increased post-study displayed distinguishable brain responses to both stimuli. Conclusions: Responses to emotionally-valenced stimuli enabled modelling classifiers that were sensitive to the familiarity of the stimuli, regardless of the clinical condition of the participants and were consistent with their clinical progress in most cases. Significance: EEG responses are sensitive to familiarity of emotionally-valenced stimuli in HC and patients with DOC.

Keywords

ActivationAwarenessDiagnosisDisorders of consciousnessEegEmotion recognitioExperiencesMachine learningMinimally conscious stateNetworkPatients own nameRecoverySelStimulationUnresponsive wakefulness syndromeVegetative state

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Clinical Neurophysiology due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 70/285, thus managing to position itself as a Q1 (Primer Cuartil), in the category Clinical Neurology.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-10-13:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 15.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.25.
  • The number of mentions on the social network Facebook: 1 (Altmetric).
  • The number of mentions on the social network X (formerly Twitter): 4 (Altmetric).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Maza, Anny) and Last Author (Lloréns Rodríguez, Roberto).

the author responsible for correspondence tasks has been Lloréns Rodríguez, Roberto.