Research graph
References from Quantifying the unpredictable: Entropy as a window into resting-state brain dynamics. Local targets link to admitted publications; unresolved targets remain external evidence.
Functional connectivity in the motor cortex of resting human brain using echo-planar MRI
10.1002/mrm.1910340409 · 1995 · External reference
Caffeine caused a widespread increase of resting brain entropy
10.1038/s41598-018-21008-6 · 2018 · External reference
Variability and reproducibility of directed and undirected functional MRI connectomes in the human brain
10.3390/e21070661 · 2019 · External reference
Multiscale entropy analysis of biological signals
10.1103/physreve.71.021906 · 2005 · External reference
Shannon entropy applied to the analysis of event-related fMRI time series
10.1016/s1053-8119(03)00306-9 · 2003 · External reference
Revisiting the global workspace orchestrating the hierarchical organization of the human brain
10.1038/s41562-020-01003-6 · 2021 · External reference
Approximate entropy and sample entropy: a comprehensive tutorial
10.3390/e21060541 · 2019 · External reference
A primer on entropy in neuroscience
10.1016/j.neubiorev.2023.105070 · 2023 · External reference
Changes in the network eigen entropy of resting-state functional brains across the lifespan
2015 · External reference
Lifespan development of the human brain revealed by large-scale network eigen-entropy
10.3390/e19090471 · 2017 · External reference
Complexity analysis of resting-state and task fMRI using multiscale sample entropy
2021 · External reference
Overview of functional magnetic resonance imaging
10.1016/j.nec.2010.11.001 · 2011 · External reference
Functional connectivity in resting-state fMRI: is linear correlation sufficient?
10.1016/j.neuroimage.2010.08.042 · 2011 · External reference
Analyzing entropy features in time-series data for pattern recognition in neurological conditions
10.1016/j.artmed.2024.102821 · 2024 · External reference
The multiscale entropy algorithm and its variants: a review
10.3390/e17053110 · 2015 · External reference
Shared increased entropy of brain signals across patients with different mental illnesses: a coordinate-based activation likelihood estimation meta-analysis
10.1007/s11682-021-00507-7 · 2022 · External reference
Sample entropy reveals an age-related reduction in the complexity of dynamic brain
10.1038/s41598-017-08565-y · 2017 · External reference
Unresolved reference
2017 · External reference
Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies
10.1016/j.neuroimage.2016.12.019 · 2017 · External reference
Entropy and the brain: an overview
10.3390/e22090917 · 2020 · External reference
Regional entropy of functional imaging signals varies differently in sensory and cognitive systems during propofol-modulated loss and return of behavioral responsiveness
10.1007/s11682-018-9886-0 · 2019 · External reference
Resting-state functional MRI: everything that nonexperts have always wanted to know
2018 · External reference
Comparative study of approximate entropy and sample entropy robustness to spikes
10.1016/j.artmed.2011.06.007 · 2011 · External reference
Overlapping communities reveal rich structure in large-scale brain networks during rest and task conditions
10.1016/j.neuroimage.2016.04.054 · 2016 · External reference
Functional MRI signal complexity analysis using sample entropy
10.3389/fnins.2020.00700 · 2020 · External reference
Comparing test-retest reliability of entropy methods: complexity analysis of resting-state fMRI
10.1109/access.2020.3005906 · 2020 · External reference
Temporal complexity of fMRI is reproducible and correlates with higher order cognition
10.1016/j.neuroimage.2021.117760 · 2021 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
10.1136/bmj.n71 · 2021 · External reference
Complexity-based analysis in biomedical image analysis: a review
10.1142/s0218348x24300022 · 2024 · External reference
Modelling a multiplex brain network by local transfer entropy
10.1038/s41598-021-93190-z · 2021 · External reference
Approximate entropy as a measure of system complexity
10.1073/pnas.88.6.2297 · 1991 · External reference
Sample entropy
10.1016/s0076-6879(04)84011-4 · 2004 · External reference
A novel 3D differential entropy-based multi-class segmentation technique for brain MR image analysis
10.1016/j.bspc.2024.107064 · 2025 · External reference
Brain entropy and human intelligence: a resting-state fMRI study
10.1371/journal.pone.0191582 · 2018 · External reference
Measuring information transfer
10.1103/physrevlett.85.461 · 2000 · External reference
A mathematical theory of communication
10.1002/j.1538-7305.1948.tb01338.x · 1948 · External reference
Associations of brain entropy (BEN) to cerebral blood flow and fractional amplitude of low-frequency fluctuations in the resting brain
10.1007/s11682-018-9963-4 · 2019 · External reference
Transfer entropy as a measure of brain connectivity: a critical analysis with the help of neural mass models
10.3389/fncom.2020.00045 · 2020 · External reference
Variability of brain signals processed locally transforms into higher connectivity with brain development
10.1523/jneurosci.3153-10.2011 · 2011 · External reference
Brain entropy mapping using fMRI
2014 · External reference
Effective connectivity extracted from resting-state fMRI images using transfer entropy
10.1016/j.irbm.2021.02.007 · 2021 · External reference
Functional connectivity of the brain across rodents and humans
2022 · External reference
A strategy to reduce bias of entropy estimates in resting-state fMRI signals
10.3389/fnins.2018.00398 · 2018 · External reference
The increase of the functional entropy of the human brain with age
10.1038/srep02853 · 2013 · External reference
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age
10.1016/j.neuroimage.2021.118188 · 2021 · External reference
