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References from Regularity and randomness in ageing: Differences in resting-state EEG complexity measured by largest Lyapunov exponent. Local targets link to admitted publications; unresolved targets remain external evidence.
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Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer’s disease
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Hemispheric asymmetry reduction in older adults: the HAROLD model
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Frontal lobes and aging
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Practical method for determining the minimum embedding dimension of a scalar time series
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Slowing and loss of complexity in Alzheimer’s EEG: two sides of the same coin?
2011 · External reference
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Neuroimaging of healthy cognitive aging
2008 · External reference
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
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The amsterdam Resting-State questionnaire reveals multiple phenotypes of resting-state cognition
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Brain oscillatory complexity across the life span
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Fractal dynamics in physiology: alterations with disease and aging
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What is physiologic complexity and how does it change with aging and disease?
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MEG and EEG data analysis with MNE-Python
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Subclinical cognitive decline in middle-age is associated with reduced task-induced deactivation of the brain’s default mode network
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The temporal structures and functional significance of scale-free brain activity
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Multiscale Lempel-Ziv complexity for EEG measures
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Nonlinear dynamic analysis of the EEG in patients with Alzheimer’s disease and vascular dementia
10.1097/00004691-200101000-00010 · 2001 · External reference
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Sample entropy reveals an age-related reduction in the complexity of dynamic brain
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Detecting epileptic seizure from scalp EEG using Lyapunov spectrum
10.1155/2012/847686 · 2012 · External reference
101 labeled brain images and a consistent human cortical labeling protocol
10.3389/fnins.2012.00171 · 2012 · External reference
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
10.1016/s0165-0173(98)00056-3 · 1999 · External reference
α-band oscillations, attention, and controlled access to stored information
10.1016/j.tics.2012.10.007 · 2012 · External reference
Use of false nearest neighbours for selecting variables and embedding parameters for state space reconstruction
2015 · External reference
Practical applications of chaos theory to the modulation of human ageing: nature prefers chaos to regularity
10.1023/a:1023306419861 · 2003 · External reference
Entropic measures of EEG complexity in Alzheimer’s disease through a multivariate multiscale approach
10.1109/jsen.2013.2271735 · 2013 · External reference
Spatial extension of brain activity fools the single-channel reconstruction of EEG dynamics
10.1002/(sici)1097-0193(1997)5:1<26::aid-hbm4>3.0.co;2-p · 1997 · External reference
Age-related decline in executive function as a hallmark of cognitive ageing in primates: an overview of cognitive and neurobiological studies
10.1098/rstb.2019.0618 · 2020 · External reference
On the complexity of finite sequences
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Unresolved reference
External reference
Physiological complexity, aging, and the path to frailty
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10.1126/science.1131295 · 2007 · External reference
Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer’s disease
10.1016/j.cmpb.2014.01.019 · 2014 · External reference
The default mode network in healthy aging and Alzheimer’s disease
2011 · External reference
Age effect on the default mode network, inner thoughts, and cognitive abilities
10.1016/j.neurobiolaging.2012.08.018 · 2013 · External reference
The evolution of complexity in human brain development: an EEG study
10.1016/s0013-4694(96)95699-0 · 1996 · External reference
Lifespan differences in nonlinear dynamics during rest and auditory oddball performance
10.1111/j.1467-7687.2012.01153.x · 2012 · External reference
Unresolved reference
2007 · External reference
Why bother to spatially embed EEG? comments on pritchard et al
1999 · External reference
Entropy maps characterize drug effects on brain dynamics in Alzheimer’s disease
10.1016/s0304-3940(98)00603-x · 1998 · External reference
Age differences in dynamic measures of EEG
10.1023/a:1026659102713 · 2000 · External reference
Age differences in factor analysis of EEG
10.1023/a:1025654331788 · 2003 · External reference
Altered EEG dynamical responsivity associated with normal aging and probable Alzheimer’s disease
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Unresolved reference
2020 · External reference
Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter
10.1093/cercor/7.3.268 · 1997 · External reference
Regional brain changes in aging healthy adults: general trends, individual differences and modifiers
10.1093/cercor/bhi044 · 2005 · External reference
Physiological time-series analysis using approximate entropy and sample entropy
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A practical method for calculating largest Lyapunov exponents from small data sets
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10.1093/gerona/56.5.b198 · 2001 · External reference
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10.3390/e20070506 · 2018 · External reference
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Aging induced loss of complexity and dedifferentiation: consequences for coordination dynamics within and between brain, muscular and behavioral levels
10.3389/fnagi.2014.00140 · 2014 · External reference
Investigation of EEG non-linearity in dementia and Parkinson’s disease
10.1016/0013-4694(95)00147-q · 1995 · External reference
Non-linear dynamical analysis of multichannel EEG: clinical applications in dementia and Parkinson’s disease
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The brain on silent: mind wandering, mindful awareness, and states of mental tranquility
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Consistent neuroanatomical age-related volume differences across multiple samples
10.1016/j.neurobiolaging.2009.05.013 · 2011 · External reference
Visual modulation of resting state α oscillations
10.1523/eneuro.0268-19.2019 · 2020 · External reference
In defense of the frontal lobe hypothesis of cognitive aging
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Determining Lyapunov exponents from a time series
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Montreal cognitive assessment: one cutoff never fits all
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The validity, reliability and clinical utility of the Hong Kong montreal cognitive assessment (HK-MoCA) in patients with cerebral small vessel disease
10.1159/000232589 · 2009 · External reference
Complexity of spontaneous BOLD activity in default mode network is correlated with cognitive function in normal male elderly: a multiscale entropy analysis
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Prefrontal cortex and executive functions in healthy adults: a meta-analysis of structural neuroimaging studies
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Age-related changes in electroencephalographic signal complexity
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