Results 21 to 30 of about 2,021,152 (244)

Resting state cortical EEG rhythms in Alzheimer's disease: toward EEG markers for clinical applications: a review [PDF]

, 2012
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is characterized by a combination of synaptic pruning, loss of cortico-cortical connections, and neuronal apoptosis that provoke an age-dependent decline of ...
Lizio, Roberta, De Vico Fallani, Fabrizio, Fabrizio Vecchio, F. De Vico Fallani, Frisoni, Giovanni, Fabrizio De Vico Fallani, Giulio Verrienti, Giovanni Frisoni, Vecchio, Fabrizio, Rossini, Paolo M, G. Verrienti, P. M. Rossini, F. Vecchio, Verrienti, Giulio, Frisoni, Giovanni B., Paolo M. Rossini, Rossini, Paolo M., Babiloni, Claudio, Fde V. Fallani, Blinowska, Katarzyna, G. Frisoni, Rossini, Paolo Maria, Claudio Babiloni, K. Blinowska, Katarzyna Blinowska, Roberta Lizio   +25 more
core   +1 more source

Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?

Frontiers in Neuroscience, 2020
This paper attempts to explain some methodological issues regarding EEG signal analysis which might lead to misinterpretation and therefore to unsubstantiated conclusions. The so called “split-alpha,” a “new phenomenon” in EEG spectral analysis described
Ewa Zalewska
doaj   +1 more source

EEG Signal Processing

, 2007
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are
Chambers, J., Chambers, JA, Sanei, S, Sanei, Saeid   +3 more
core   +2 more sources

Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI

Frontiers in Human Neuroscience, 2018
Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG reflect ...
Galina V. Portnova, Galina V. Portnova, Alina Tetereva, Vladislav Balaev, Mikhail Atanov, Lyudmila Skiteva, Vadim Ushakov, Alexey Ivanitsky, Olga Martynova, Olga Martynova   +9 more
doaj   +1 more source

Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps

Sensors, 2022
Dry electrodes for electroencephalography (EEG) allow new fields of application, including telemedicine, mobile EEG, emergency EEG, and long-term repetitive measurements for research, neurofeedback, or brain–computer interfaces.
Chuen Rue Ng, Patrique Fiedler, Levin Kuhlmann, David Liley, Beatriz Vasconcelos, Carlos Fonseca, Gabriella Tamburro, Silvia Comani, Troby Ka-Yan Lui, Chun-Yu Tse, Indhika Fauzhan Warsito, Eko Supriyanto, Jens Haueisen   +12 more
doaj   +1 more source

EEG Signal Processing for Biomedical Applications

, 2023
This reprint focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information.

core   +1 more source

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talker environment using brain signals, typically recorded through electroencephalography (EEG). Over the past decade, AAD has undergone continuous development,
Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare Mikkelsen, Preben Kidmose   +4 more
doaj   +1 more source

The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging [PDF]

, 2009
Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges.
Lemieux, L., Lhatoo, S., Guye, M., L Lemieux, M Guye, McEvoy, A.W., Thornton, R., R Thornton, Michel, Christoph, Spinelli, L., Duncan, J.S., Michel, C.M., Spinelli, Laurent Jean-François, Carmichael, D.W., L Spinelli, C M Michel, R Rodionov, Rodionov, R., J S Duncan, Vulliemoz, Serge, Carmichael, D. W., S Vulliemoz, McEvoy, A. W., A W Mcevoy, Prof Louis Lemieux, Chesham Lane, Vulliemoz, S., D W Carmichael, S Lhatoo, Duncan, J. S.   +29 more
core   +1 more source

A direct comparison of simultaneously recorded scalp, around-ear and in-ear EEG for neural selective auditory attention decoding to speech

Scientific Reports
Current assistive hearing devices, such as hearing aids and cochlear implants, lack the ability to adapt to the listener’s focus of auditory attention, limiting their effectiveness in complex acoustic environments like cocktail party scenarios where ...
Simon Geirnaert, Simon L. Kappel, Preben Kidmose   +2 more
doaj   +1 more source

EEG Controlled Wheelchair

MATEC Web of Conferences, 2016
This paper describes the development of a brainwave controlled wheelchair. The main objective of this project is to construct a wheelchair which can be directly controlled by the brain without requires any physical feedback as controlling input from the ...
Swee Sim Kok, Teck Kiang Kho Desmond, You Lim Zheng   +2 more
doaj   +1 more source