Autism spectrum disorder
C Lord, TS Brugha, T Charman, J Cusack… - Nature reviews Disease …, 2020 - nature.com
Autism spectrum disorder is a construct used to describe individuals with a specific
combination of impairments in social communication and repetitive behaviours, highly …
combination of impairments in social communication and repetitive behaviours, highly …
Moment-to-moment brain signal variability: a next frontier in human brain map**?
Neuroscientists have long observed that brain activity is naturally variable from moment-to-
moment, but neuroimaging research has largely ignored the potential importance of this …
moment, but neuroimaging research has largely ignored the potential importance of this …
EEG analytics for early detection of autism spectrum disorder: a data-driven approach
Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on
the basis of behavioral symptoms during the second year of life or later. Finding scalable …
the basis of behavioral symptoms during the second year of life or later. Finding scalable …
Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations
There has been an increasing trend towards the use of complexity analysis in quantifying
neural activity measured by electroencephalography (EEG) signals. On top of revealing …
neural activity measured by electroencephalography (EEG) signals. On top of revealing …
Spatiotemporal dependency of age-related changes in brain signal variability
Recent theoretical and empirical work has focused on the variability of network dynamics in
maturation. Such variability seems to reflect the spontaneous formation and dissolution of …
maturation. Such variability seems to reflect the spontaneous formation and dissolution of …
[PDF][PDF] Analysis of EEG signals using nonlinear dynamics and chaos: a review
G Rodriguez-Bermudez… - Applied mathematics …, 2015 - naturalspublishing.com
Nonlinear dynamics and chaos theory have been used in neurophysiology with the aim to
understand the complex brain activity from electroencephalographic (EEG) signals …
understand the complex brain activity from electroencephalographic (EEG) signals …
Traumatic brain injury detection using electrophysiological methods
PE Rapp, DO Keyser, A Albano… - Frontiers in human …, 2015 - frontiersin.org
Measuring neuronal activity with electrophysiological methods may be useful in detecting
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …
[HTML][HTML] Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities
Electroencephalographic (EEG) methods have great potential to serve both basic and
clinical science approaches to understand individual differences in human neural function …
clinical science approaches to understand individual differences in human neural function …
EEG feature comparison and classification of simple and compound limb motor imagery
W Yi, S Qiu, H Qi, L Zhang, B Wan, D Ming - Journal of neuroengineering …, 2013 - Springer
Background Motor imagery can elicit brain oscillations in Rolandic mu rhythm and central
beta rhythm, both originating in the sensorimotor cortex. In contrast with simple limb motor …
beta rhythm, both originating in the sensorimotor cortex. In contrast with simple limb motor …
Complexity of spontaneous BOLD activity in default mode network is correlated with cognitive function in normal male elderly: a multiscale entropy analysis
The nonlinear properties of spontaneous fluctuations in blood oxygen level-dependent
(BOLD) signals remain unexplored. We test the hypothesis that complexity of BOLD activity …
(BOLD) signals remain unexplored. We test the hypothesis that complexity of BOLD activity …