EEG in Cognitive and Affective Neuroscience

A special issue of NeuroSci (ISSN 2673-4087).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4111

Special Issue Editor


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Guest Editor
Research Institute of Neuroscience and Medicine, Novosibirsk State University, Novosibirsk 630090, Russia
Interests: registration of 128 channel EEG; ICA of individual alpha activity indices of psychomotor and postural control; affective disorders; neurofeedback training for peak performance; Stabilometric Biofeedback development

Special Issue Information

Dear Colleagues,

Affective and cognitive neuroscience has a very important role in several applications: computing, security, brain computer interfaces, neurofeedback technology for improving cognitive performance and prevention affective disorders, neurology, and psychology. Affective and cognitive neuroscience mainly focuses on the neural mechanisms of perception, selective attention, memory, language, emotion, self-control, and psychomotor functions. It is at the intersection of psychology and neuroscience but also overlaps with physiological psychology, cognitive psychology, and neuropsychology. Usually, cognitive and affective functions are captured by measuring external personal behavior, facial expressions, eye movements, sweating, heartbeat rate, tremor, hormone level, etc. through different measuring systems.

However, these parameters, though numerous, are not sufficient or cannot explain the whole set of cognitive and affective functions. Moreover, they could be deceived. Imagine what could occur when using a “truth machine".

EEG is a non-invasive technique that can be effectively used for registering the true electrical activity generated by cognitive action and emotions and could be sufficient alone for capturing these brain functions. The proposed Special Issue aims at unambiguously identifying the cognitive and affective functions from EEG signals.

This Special Issue will discuss major aspects of performing research using EEG/ERP-based experiments including the recording of the signals, removing noise, and signal analysis for better understanding the neural correlates of processes involved in cognitive functions and emotions. The use of this methodology will further enhance our understanding of the neural processes involved in cognitive and affective functions.

We welcome contributions on, but not limited to, the following subjects:

  • Unbiased elicitation protocols and tasks;
  • Brain-bandwidth mapping strategies;
  • Design and testing of innovative and efficient signal processing;
  • Classification strategies.

Papers should be in the form of original research articles, review articles, technology reports and evaluation and comparison of technologies, case reports, also in a short form.

Dr. Olga M. Bazanova
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. NeuroSci is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

19 pages, 3237 KiB  
Article
Power Spectrum and Connectivity Analysis in EEG Recording during Attention and Creativity Performance in Children
by Diego M. Mateos, Gabriela Krumm, Vanessa Arán Filippetti and Marisel Gutierrez
NeuroSci 2022, 3(2), 347-365; https://doi.org/10.3390/neurosci3020025 - 2 Jun 2022
Cited by 4 | Viewed by 3483
Abstract
The present research aims at examining the power spectrum and exploring functional brain connectivity/disconnectivity during concentration performance, as measured by the d2 test of attention and creativity as measured by the CREA test in typically developing children. To this end, we examined brain [...] Read more.
The present research aims at examining the power spectrum and exploring functional brain connectivity/disconnectivity during concentration performance, as measured by the d2 test of attention and creativity as measured by the CREA test in typically developing children. To this end, we examined brain connectivity by using phase synchrony (i.e., phase locking index (PLI) over the EEG signals acquired by the Emotiv EPOC neuroheadset in 15 children aged 9- to 12-years. Besides, as a complement, a power spectrum analysis of the acquired signals was performed. Our results indicated that, during d2 Test performance there was an increase in global gamma phase synchronization and there was a global alpha and theta band desynchronization. Conversely, during CREA task, power spectrum analysis showed a significant increase in the delta, beta, theta, and gamma bands. Connectivity analysis revealed marked synchronization in theta, alpha, and gamma. These findings are consistent with other neuroscience research indicating that multiple brain mechanisms are indeed involved in creativity. In addition, these results have important implications for the assessment of attention functions and creativity in clinical and research settings, as well as for neurofeedback interventions in children with typical and atypical development. Full article
(This article belongs to the Special Issue EEG in Cognitive and Affective Neuroscience)
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