Preliminary Assessment of hands motor imagery in theta- and beta-bands for Brain-Machine-Interfaces using functional connectivity analysis

07/25/2020
by   Jorge Antonio Gaxiola Tirado, et al.
0

The use of time- and frequency-based features has proven effective in the process of classifying mental tasks in Brain Computer Interfaces (BCIs). Still, most of those methods provide little insight about the underlying brain activity and functions. Thus, a better understanding of the mechanisms and dynamics of brain activity, is necessary in order to obtain useful and informative features for BCIs. In the present study, the objective is to investigate the differences in functional connectivity of two motor imagery tasks, through a partial directed coherence (PDC) analysis, which is a frequency-domain metric that provides information about directionality in the interaction between signals recorded at different channels. Four healthy subjects participated in this study, two mental tasks were evaluated: Imagination of the movement of the right hand or left hand. We carry out the differentiation of these tasks through two different approaches: on one hand, the traditional one based on spectral power; on the other hand, an approach based on PDC. The results showed that EEG-based PDC analysis provides additional information and it can potentially improve the feature selection mainly in the beta frequency band.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

12/05/2019

Phase/amplitude synchronization of brain signals during motor imagery BCI tasks

The extraction of brain functioning features is a crucial step in the de...
07/18/2020

Using EEG-based brain connectivity for the study of brain dynamics in brain-computer interfaces

The analysis of brain connectivity aims to understand the emergence of f...
11/04/2021

Functional connectivity ensemble method to enhance BCI performance (FUCONE)

Functional connectivity is a key approach to investigate oscillatory act...
05/29/2018

Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis

Neuroimaging data analysis often involves a-priori selection of data fea...
11/02/2021

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks

On the increase of major depressive disorders (MDD), many researchers pa...
08/09/2021

Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis

Objective: Functional coupling between the motor cortex and muscle activ...
04/27/2018

Method to assess the functional role of noisy brain signals by mining envelope dynamics

Data-driven spatial filtering approaches are commonly used to assess rhy...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.