Changes in EEG multiscale entropy and power‐law frequency scaling during the human sleep cycle
V Miskovic, KJ MacDonald, LJ Rhodes… - Human brain …, 2019 - Wiley Online Library
We explored changes in multiscale brain signal complexity and power‐law scaling
exponents of electroencephalogram (EEG) frequency spectra across several distinct global …
exponents of electroencephalogram (EEG) frequency spectra across several distinct global …
Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series
Functional connectivity (FC) describes the statistical dependence between neuronal
populations or brain regions in resting-state fMRI studies and is commonly estimated as the …
populations or brain regions in resting-state fMRI studies and is commonly estimated as the …
On the relationship between instantaneous phase synchrony and correlation-based sliding windows for time-resolved fMRI connectivity analysis
Correlation-based sliding window analysis (CSWA) is the most commonly used method to
estimate time-resolved functional MRI (fMRI) connectivity. However, instantaneous phase …
estimate time-resolved functional MRI (fMRI) connectivity. However, instantaneous phase …
[HTML][HTML] Dynamic synergetic configurations of resting-state networks in ADHD
Attention deficit hyperactivity disorder (ADHD) is characterized by high distractibility and
impaired executive functions. Notably, there is mounting evidence suggesting that ADHD …
impaired executive functions. Notably, there is mounting evidence suggesting that ADHD …
Range entropy: A bridge between signal complexity and self-similarity
Approximate entropy (ApEn) and sample entropy (SampEn) are widely used for temporal
complexity analysis of real-world phenomena. However, their relationship with the Hurst …
complexity analysis of real-world phenomena. However, their relationship with the Hurst …
[HTML][HTML] Evaluating phase synchronization methods in fMRI: A comparison study and new approaches
In recent years there has been growing interest in measuring time-varying functional
connectivity between different brain regions using resting-state functional magnetic …
connectivity between different brain regions using resting-state functional magnetic …
The brain's “dark energy” puzzle: How strongly is glucose metabolism linked to resting-state brain activity?
Brain glucose metabolism, which can be investigated at the macroscale level with [18F] FDG
PET, displays significant regional variability for reasons that remain unclear. Some of the …
PET, displays significant regional variability for reasons that remain unclear. Some of the …
[HTML][HTML] Cortical maturation from childhood to adolescence is reflected in resting state EEG signal complexity
S van Noordt, T Willoughby - Developmental cognitive neuroscience, 2021 - Elsevier
Endogenous cortical fluctuations captured by electroencephalograms (EEGs) reflect activity
in large-scale brain networks that exhibit dynamic patterns over multiple time scales …
in large-scale brain networks that exhibit dynamic patterns over multiple time scales …
[HTML][HTML] Temporal complexity of fMRI is reproducible and correlates with higher order cognition
It has been hypothesized that resting state networks (RSNs), extracted from resting state
functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity …
functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity …
Increased brain entropy of resting-state fMRI mediates the relationship between depression severity and mental health-related quality of life in late-life depressed …
C Lin, SH Lee, CM Huang, GY Chen, PS Ho… - Journal of affective …, 2019 - Elsevier
Background Entropy analysis is a computational method used to quantify the complexity in a
system, and loss of brain complexity is hypothesized to be related to mental disorders. Here …
system, and loss of brain complexity is hypothesized to be related to mental disorders. Here …