A survey of brain network analysis by electroencephalographic signals

C Luo, F Li, P Li, C Yi, C Li, Q Tao, X Zhang, Y Si… - Cognitive …, 2022 - Springer
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

Frequency-Dependent Covariance Reveals Critical Spatiotemporal Patterns of Synchronized Activity in the Human Brain

R Calvo, C Martorell, GB Morales, S Di Santo… - Physical Review Letters, 2024 - APS
Recent analyses, leveraging advanced theoretical techniques and high-quality data from
thousands of simultaneously recorded neurons across regions in the brain, compellingly …

Classification of Coherence Indices Extracted from EEG Signals of Mild and Severe Autism

L Wu - International Journal of Advanced Computer Science …, 2023 - search.proquest.com
Autism spectrum disorder is a debilitating neurodevelopmental illness characterized by
serious impairments in communication and social skills. Due to the increasing prevalence of …

[HTML][HTML] Spatial-data-driven layouting for brain network visualization

F Ganglberger, M Wißmann, HY Wu, N Swoboda… - Computers & …, 2022 - Elsevier
Recent advances in neuro-imaging enable scientists to create brain network data that can
lead to novel insights into neurocircuitry, and a better understanding of the brain's …

BrainTrawler: A visual analytics framework for iterative exploration of heterogeneous big brain data

F Ganglberger, N Swoboda, L Frauenstein… - Computers & …, 2019 - Elsevier
In recent years, big brain-initiatives and consortia have created vast resources of publicly
available brain data that can be used by neuroscientists for their own research experiments …

Is badfiction processed differently by the human brain? An electrophysical study on reading experience

T Weitin, T Fabian, A Glawion, J Brottrager… - Frontiers in Human …, 2024 - frontiersin.org
Literary reception is a special case of language processing. The judgment of literature
reveals deep social patterns with embodied cognition. In this study, we investigate how …

Eeg functional connectivity in motor tasks: Experience of application of graph analysis

KD Vigasina, EV Sharova, VA Bordyug, EL Masherov… - Human Physiology, 2023 - Springer
The goal of this work is the application of graph analysis for the research of brain network
organization during motor tasks (clenching/unclenching the fingers of the right hand). In this …

Challenges for brain data analysis in VR environments

S Jaeger, K Klein, L Joos, J Zagermann… - 2019 IEEE Pacific …, 2019 - ieeexplore.ieee.org
Analysing and understanding brain function and disorder is the main focus of neuroscience.
Due to the high complexity of the brain, directionality of the signal and changing activity over …

Development of emotional decision-making model using EEG signals

MK Ahirwal, MR Kose - … : Frontiers in Intelligent Computing: Theory and …, 2021 - Springer
In this paper, an attempt has been made to explore the effect of incidental emotion on
decision making. For this, first of all, a conventional emotion classification system based on …

Учредители: Российская академия наук, Государственный научный центр РФ-Институт медико-биологических проблем РАН

ОИ ШЕВЧЕНКО, ОЛ ЛАХМАН, ГМ БОДИЕНКОВА… - Физиология …, 2022 - elibrary.ru
В основе развития вибрационной болезни (ВБ) лежит ответ на застойное
возбуждение преимущественно со стороны симпатического отдела вегетативной …