Literature DB >> 24715858

Methodological aspects of EEG and body dynamics measurements during motion.

Pedro M R Reis1, Felix Hebenstreit2, Florian Gabsteiger2, Vinzenz von Tscharner3, Matthias Lochmann1.   

Abstract

EEG involves the recording, analysis, and interpretation of voltages recorded on the human scalp which originate from brain gray matter. EEG is one of the most popular methods of studying and understanding the processes that underlie behavior. This is so, because EEG is relatively cheap, easy to wear, light weight and has high temporal resolution. In terms of behavior, this encompasses actions, such as movements that are performed in response to the environment. However, there are methodological difficulties which can occur when recording EEG during movement such as movement artifacts. Thus, most studies about the human brain have examined activations during static conditions. This article attempts to compile and describe relevant methodological solutions that emerged in order to measure body and brain dynamics during motion. These descriptions cover suggestions on how to avoid and reduce motion artifacts, hardware, software and techniques for synchronously recording EEG, EMG, kinematics, kinetics, and eye movements during motion. Additionally, we present various recording systems, EEG electrodes, caps and methods for determinating real/custom electrode positions. In the end we will conclude that it is possible to record and analyze synchronized brain and body dynamics related to movement or exercise tasks.

Entities:  

Keywords:  artifacts reduction; electrodes digitalization; electroencephalography; hardware and software; methodology; movement and exercise

Year:  2014        PMID: 24715858      PMCID: PMC3970018          DOI: 10.3389/fnhum.2014.00156

Source DB:  PubMed          Journal:  Front Hum Neurosci        ISSN: 1662-5161            Impact factor:   3.169


  84 in total

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Review 10.  Congruency of gaze metrics in action, imagery and action observation.

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Journal:  Front Hum Neurosci       Date:  2013-09-24       Impact factor: 3.169

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  35 in total

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6.  Using a motion capture system for spatial localization of EEG electrodes.

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Review 7.  Is it time to turn our attention toward central mechanisms for post-exertional recovery strategies and performance?

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8.  Proposing Metrics for Benchmarking Novel EEG Technologies Towards Real-World Measurements.

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10.  Toward a new cognitive neuroscience: modeling natural brain dynamics.

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