EEG frequency bands in psychiatric disorders: a review of resting state studies
JJ Newson, TC Thiagarajan - Frontiers in human neuroscience, 2019 - frontiersin.org
A significant proportion of the electroencephalography (EEG) literature focuses on
differences in historically pre-defined frequency bands in the power spectrum that are …
differences in historically pre-defined frequency bands in the power spectrum that are …
Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies
Background Although it is well recognized that autism is associated with altered patterns of
over-and under-connectivity, specifics are still a matter of debate. Little has been done so far …
over-and under-connectivity, specifics are still a matter of debate. Little has been done so far …
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Background Autism spectrum disorder is a common group of conditions affecting about one
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG
Autism spectrum disorder (ASD) is a developmental disability characterized by persistent
impairments in social interaction, speech and nonverbal communication, and restricted or …
impairments in social interaction, speech and nonverbal communication, and restricted or …
Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis
Quantification of abnormality in brain signals may reveal brain conditions and pathologies.
In this study, we investigate different electroencephalography (EEG) feature extraction and …
In this study, we investigate different electroencephalography (EEG) feature extraction and …
EEG signal analysis for diagnosing neurological disorders using discrete wavelet transform and intelligent techniques
Analysis of electroencephalogram (EEG) signals is essential because it is an efficient
method to diagnose neurological brain disorders. In this work, a single system is developed …
method to diagnose neurological brain disorders. In this work, a single system is developed …
Brain connectivity and high functioning autism: a promising path of research that needs refined models, methodological convergence, and stronger behavioral links
Here we review findings from studies investigating functional and structural brain
connectivity in high functioning individuals with autism spectrum disorders (ASDs). The …
connectivity in high functioning individuals with autism spectrum disorders (ASDs). The …
Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis
Background Understanding the development of the neuronal circuitry underlying autism
spectrum disorder (ASD) is critical to shed light into its etiology and for the development of …
spectrum disorder (ASD) is critical to shed light into its etiology and for the development of …
Peak alpha frequency is a neural marker of cognitive function across the autism spectrum
A Dickinson, C DiStefano, D Senturk… - European Journal of …, 2018 - Wiley Online Library
Cognitive function varies substantially and serves as a key predictor of outcome and
response to intervention in autism spectrum disorder (ASD), yet we know little about the …
response to intervention in autism spectrum disorder (ASD), yet we know little about the …
A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls-a large case control study
FH Duffy, H Als - BMC medicine, 2012 - Springer
Background The autism rate has recently increased to 1 in 100 children. Genetic studies
demonstrate poorly understood complexity. Environmental factors apparently also play a …
demonstrate poorly understood complexity. Environmental factors apparently also play a …