LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 3 of total 3

Search options

  1. Article: Editorial: Technologies to support elderly patients with dementia.

    Bibbo, Luigi / Morabito, Francesco Carlo / La Foresta, Fabio / Bramanti, Alessia

    Frontiers in aging neuroscience

    2023  Volume 15, Page(s) 1333724

    Language English
    Publishing date 2023-11-27
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2558898-9
    ISSN 1663-4365
    ISSN 1663-4365
    DOI 10.3389/fnagi.2023.1333724
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article: Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study.

    Dattola, Serena / Bonanno, Lilla / Ielo, Augusto / Quercia, Angelica / Quartarone, Angelo / La Foresta, Fabio

    Bioengineering (Basel, Switzerland)

    2023  Volume 10, Issue 12

    Abstract: The neural underpinnings of mental calculation, the fundamentals of arithmetic representations and processes, and the development of arithmetic abilities have been explored by researchers over the years. In the present work, we report a study that ... ...

    Abstract The neural underpinnings of mental calculation, the fundamentals of arithmetic representations and processes, and the development of arithmetic abilities have been explored by researchers over the years. In the present work, we report a study that analyzes the brain-activated areas of a group of 35 healthy subjects (9 males, 26 females, mean age ± SD = 18.23 ± 2.20 years) who performed a serial subtraction arithmetic task. In contrast to most of the studies in the literature based on fMRI, we performed the brain active source reconstruction starting from EEG signals by means of the eLORETA method. In particular, the subjects were classified as bad counters or good counters, according to the results of the task, and the brain activity of the two groups was compared. The results were statistically significant only in the beta band, revealing that the left limbic lobe was found to be more active in people showing better performance. The limbic lobe is involved in visuospatial processing, memory, arithmetic fact retrieval, and emotions. However, the role of the limbic lobe in mental arithmetic has been barely explored, so these interesting findings could represent a starting point for future in-depth analyses. Since there is evidence in the literature that the motor system is affected by the execution of arithmetic tasks, a more extensive knowledge of the brain activation associated with arithmetic tasks could be exploited not only for the assessment of mathematical skills but also in the evaluation of motor impairments and, consequently, in rehabilitation for motor disorders.
    Language English
    Publishing date 2023-12-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2746191-9
    ISSN 2306-5354
    ISSN 2306-5354
    DOI 10.3390/bioengineering10121388
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Analysis of the automatic detection of critical epochs from coma-EEG by dominant components and features extraction.

    Inuso, Giuseppina / La Foresta, Fabio / Mammone, Nadia / Morabito, F Carlo

    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

    2006  Volume 2006, Page(s) 5727–5730

    Abstract: Recent works showed that meaningful dominant components can be extracted from the EEG of patients in coma through an algorithm based on the joint use of Principal Component Analysis (PCA) and Independent Component Analysis (ICA). A procedure for ... ...

    Abstract Recent works showed that meaningful dominant components can be extracted from the EEG of patients in coma through an algorithm based on the joint use of Principal Component Analysis (PCA) and Independent Component Analysis (ICA). A procedure for automatic critical epoch detection would support the doctor in the long time monitoring of the patients, thus we investigated the automatic quantification of the criticality of the epochs. In this paper we propose a procedure based on the extraction of dominant components and features for the quantification of the critical state of each epoch, in particular we use entropy and kurtosis. This feature analysis allowed us to detect some epochs that are likely to be critical and that are worth being carefully inspected electrographically by the expert.
    MeSH term(s) Automation ; Brain/pathology ; Coma/diagnosis ; Coma/pathology ; Data Interpretation, Statistical ; Electrodes ; Electroencephalography/instrumentation ; Electroencephalography/methods ; Electronic Data Processing ; Entropy ; Equipment Design ; Humans ; Models, Statistical ; Models, Theoretical ; Principal Component Analysis ; Signal Processing, Computer-Assisted ; Time Factors
    Language English
    Publishing date 2006
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2091094-0
    ISSN 1558-4615 ; 1557-170X ; 1094-687X
    ISSN (online) 1558-4615
    ISSN 1557-170X ; 1094-687X
    DOI 10.1109/IEMBS.2006.259505
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top