Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies
نویسندگان
چکیده
منابع مشابه
EEG: Spectral Characteristics vs. Correlation Dimension
In real systems like EEG the chaos is very difficult to prove or exclude. The scepticism against finite dimension estimates is understandable. It is hard to believe that a complicated system as the brain, which is continually interacting with many other complex systems, should manifest as deterministic low-dimensional dynamics. Predominantly, it is a manifestation of a mixture of noise, some cy...
متن کاملEEG spectral analysis in delirium.
Spectral analysis of EEG was conducted for 51 elderly delirious patients meeting the Diagnostic and Statistical Manual of Mental Disorders III (DSM-III) criteria and for 19 controls. As a whole group, and also when subdivided according to the type of delirium, severity of cognitive decline or the type of central nervous system disease, delirious patients showed significant reductions of alpha p...
متن کاملCorrection: EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease
Author details Institut National de la Recherche Scientifique, Energy, Materials, and Telecommunications, University of Quebec, Montréal, Quebec, Canada. Engineering, Modeling and Applied Social Sciences Center, Universidade Federal do ABC, Santo André, Brazil. Mathematics, Computing and Cognition Center, Universidade Federal do ABC, Santo André, Brazil. Reference Center of Behavioral Disturban...
متن کاملEEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease
Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer’s disease (AD). In this paper, we present a new electroencephalogram (EEG) based metric to quantitatively characterize neuromodulatory activity. More specifically, the short-term EEG amplitude modulation rate-of-change (i.e., modulation frequency) is computed for five EEG subband signals. To test the performance o...
متن کاملEMG contamination of EEG: spectral and topographical characteristics.
OBJECTIVE Electromyogram (EMG) contamination is often a problem in electroencephalogram (EEG) recording, particularly, for those applications such as EEG-based brain-computer interfaces that rely on automated measurements of EEG features. As an essential prelude to developing methods for recognizing and eliminating EMG contamination of EEG, this study defines the spectral and topographical char...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: NeuroImage
سال: 2020
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2019.116361