Aging effects on resting state networks after an emotional memory task

  1. G. Artola Balda 1
  2. A. Errarte 1
  3. E. Isusquiza 1
  4. M. Barrenechea 1
  5. A. Alberdi Aramendi 1
  6. María Hernández-Lorca 2
  7. E. Solesio-Jofre 2
  1. 1 Universidad de Mondragón/Mondragon Unibertsitatea
    info

    Universidad de Mondragón/Mondragon Unibertsitatea

    Mondragón, España

    ROR https://ror.org/00wvqgd19

  2. 2 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

Libro:
Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica

Editorial: Jesús Salido Tercero ; Ma del Milagro Fernández Carrobles ; Óscar Déniz Suárez ; Ma Gloria Bueno García

ISBN: 978-84-09-06253-9

Año de publicación: 2018

Páginas: 271-274

Congreso: Congreso Anual de la Sociedad Española de Ingeniería Biomédica CASEIB (36. 2018. Ciudad Real)

Tipo: Aportación congreso

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Resumen

Aging is one of the primary health concerns in nowadays world, being memory decline an important worry that affects daily functioning of healthy adults. This work presents a study of this kind of decline in normal aging, by processing and analysing electroencephalographs (EEGs) of 72 healthy subjects, categorized as either young or older adults. These biosignals are first pre-processed using a customized pre-processing pipeline using the EEGLAB tool in Matlab. Once the signals have been pre-processed, two different analyses are carried out: a frequency analysis, obtaining the powers for each band of the EEG signals, and a time-frequency analysis. The data obtained from these studies is analysed using R, obtaining some important results and conclusions.

Fuente de los datos: Dialnet