Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals

02/04/2020
by   Jenifer Kalafatovich, et al.
0

Declarative memory has been studied for its relationship with remembering daily life experiences. Previous studies reported changes in power spectra during encoding phase related to behavioral performance, however decoding phase still needs to be explored. This study investigates neural oscillations changes related to memory process. Participants were asked to perform a memory task for encoding and decoding phase while EEG signals were recorded. Results showed that for encoding phase, there was a significant decrease of power in low beta, high beta bands over fronto-central area and a decrease in low beta, high beta and gamma bands over left temporal area related to successful subsequent memory effects. For decoding phase, only significant decreases of alpha power were observed over fronto-central area. This finding showed relevance of beta and alpha band for encoding and decoding phase of a memory task respectively.

READ FULL TEXT

page 2

page 3

12/13/2021

Differential EEG Characteristics during Working Memory Encoding and Re-encoding

Many studies have discussed the difference in brain activity related to ...
02/13/2018

Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band

The functional significance of resting state networks and their abnormal...
05/15/2020

Assessment of Unconsciousness for Memory Consolidation Using EEG Signals

The assessment of consciousness and unconsciousness is a challenging iss...
11/29/2016

On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks

Phase synchronisation in multichannel EEG is known as the manifestation ...
11/15/2015

Causal interpretation rules for encoding and decoding models in neuroimaging

Causal terminology is often introduced in the interpretation of encoding...
11/21/2017

Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding

Recently, there is increasing interest and research on the interpretabil...