Aging effects on resting state networks after an emotional memory task

• G. Artola Balda ^[1] ; A. Errarte ^[1] ; E. Isusquiza ^[1] ; M. Barrenechea ^[1] ; A. Alberdi Aramendi ^[1] ; María Hernández-Lorca ^[2] ; E. Solesio-Jofre ^[2]
  1. [1] Universidad de Mondragón/Mondragon Unibertsitatea

     Universidad de Mondragón/Mondragon Unibertsitatea

     Mondragón, España

     
  2. [2] Universidad Autónoma de Madrid

     Universidad Autónoma de Madrid

     Madrid, España

     
• Localización: Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica / Ma Gloria Bueno García (dir.), 2018, ISBN 978-84-09-06253-9, págs. 271-274
• Idioma: inglés
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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.