Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG
V Sakkalis - Computers in biology and medicine, 2011 - Elsevier
Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …
main objective of this paper is to present the most modern and widely established …
EEG complexity as a biomarker for autism spectrum disorder risk
Background Complex neurodevelopmental disorders may be characterized by subtle brain
function signatures early in life before behavioral symptoms are apparent. Such …
function signatures early in life before behavioral symptoms are apparent. Such …
Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis
OBJECTIVE: Intrinsic complexity subserves adaptability in biological systems. One recently
developed measure of intrinsic complexity of biological systems is multiscale entropy (MSE) …
developed measure of intrinsic complexity of biological systems is multiscale entropy (MSE) …
Transcranial direct current stimulation (tDCS) can modulate EEG complexity of children with autism spectrum disorder
J Kang, E Cai, J Han, Z Tong, X Li… - Frontiers in …, 2018 - frontiersin.org
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder which
affects the developmental trajectory in several behavioral domains, including impairments of …
affects the developmental trajectory in several behavioral domains, including impairments of …
Longitudinal study of perception of structured optic flow and random visual motion in infants using high‐density EEG
SB Agyei, M Holth, FR Van der Weel… - Developmental …, 2015 - Wiley Online Library
Electroencephalogram (EEG) was used in infants at 3–4 months and 11–12 months to
longitudinally study brain electrical activity as the infants were exposed to structured …
longitudinally study brain electrical activity as the infants were exposed to structured …
Longitudinal study of preterm and full-term infants: High-density EEG analyses of cortical activity in response to visual motion
SB Agyei, FRR van der Weel, ALH van der Meer - Neuropsychologia, 2016 - Elsevier
Electroencephalogram (EEG) was used to investigate brain electrical activity of full-term and
preterm infants at 4 and 12 months of age as a functional response mechanism to structured …
preterm infants at 4 and 12 months of age as a functional response mechanism to structured …
Complexity analysis of the brain activity in Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) due to cognitive loads/demands …
AG Papaioannou, E Kalantzi, CC Papageorgiou… - Heliyon, 2021 - cell.com
Objective We aim to investigate whether EEG dynamics differ in adults with ASD (Autism
Spectrum Disorders), ADHD (attention-deficit/hyperactivity disorder), compared with healthy …
Spectrum Disorders), ADHD (attention-deficit/hyperactivity disorder), compared with healthy …
Altered resting-state EEG complexity in children with Tourette syndrome: A preliminary study.
Objective: Tourette syndrome is a developmental neuropsychiatric disorder in children, and
abnormal corticobasal ganglion connectivity is implied for the pathophysiology. Multiscale …
abnormal corticobasal ganglion connectivity is implied for the pathophysiology. Multiscale …
Quantitative EEG analysis using error reduction ratio-causality test; validation on simulated and real EEG data
Objective To introduce a new method of quantitative EEG analysis in the time domain, the
error reduction ratio (ERR)-causality test. To compare performance against cross-correlation …
error reduction ratio (ERR)-causality test. To compare performance against cross-correlation …
[图书][B] Linear and nonlinear synchronization analysis and visualization during altered states of consciousness
V Sakkalis, M Zervakis - 2009 - researchgate.net
This chapter focuses on analyzing various established approaches in bio medical signal
analysis, with emphasis on the dynamic evolution of time series and their structural inter …
analysis, with emphasis on the dynamic evolution of time series and their structural inter …