ArticleFrontiers in neuroinformatics2014
Reduced predictable information in brain signals in autism spectrum disorder.
Article in Frontiers in neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies.PloS one · 2017Pooled it
- Response inhibition in premotor cortex corresponds to a complex reshuffle of the mesoscopic information network.Network neuroscience (Cambridge, Mass.) · 2024Article
- Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia.PLoS computational biology · 2023Article
- Quantifying the Predictability of Visual Scanpaths Using Active Information Storage.Entropy (Basel, Switzerland) · 2021Article
- Article
- Predictable information in neural signals during resting state is reduced in autism spectrum disorder.Human brain mapping · 2018Article
- Rapid Eye Movements in Sleep Furnish a Unique Probe Into Consciousness.Frontiers in psychology · 2018Review
- Information-Theoretic Evidence for Predictive Coding in the Face-Processing System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations.Physical review. E · 2017Article
- Breakdown of local information processing may underlie isoflurane anesthesia effects.PLoS computational biology · 2017Article
- Active interoceptive inference and the emotional brain.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Behavioral, perceptual, and neural alterations in sensory and multisensory function in autism spectrum disorder.Progress in neurobiology · 2015Review
- Context sensitivity in action decreases along the autism spectrum: a predictive processing perspective.Proceedings. Biological sciences · 2015Article
- Multi-Dimensional Dynamics of Human Electromagnetic Brain Activity.Frontiers in human neuroscience · 2015Review
- Article
- Editorial for the research topic: information-based methods for neuroimaging: analyzing structure, function and dynamics.Frontiers in neuroinformatics · 2014Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) is a common developmental disorder characterized by communication difficulties and impaired social interaction. Recent results suggest altered brain dynamics as a potential cause of symptoms in ASD. Here, we aim to describe potential information-processing consequences of these alterations by measuring active information storage (AIS)-a key quantity in the theory of distributed computation in biological networks. AIS is defined as the mutual information between the past state of a process and its next measurement. It measures the amount of stored information that is used for computation of the next time step of a process. AIS is high for rich but predictable dynamics. We recorded magnetoencephalography (MEG) signals in 10 ASD patients and 14 matched control subjects in a visual task. After a beamformer source analysis, 12 task-relevant sources were obtained. For these sources, stationary baseline activity was analyzed using AIS. Our results showed a decrease of AIS values in the hippocampus of ASD patients in comparison with controls, meaning that brain signals in ASD were either less predictable, reduced in their dynamic richness or both. Our study suggests the usefulness of AIS to detect an abnormal type of dynamics in ASD. The observed changes in AIS are compatible with Bayesian theories of reduced use or precision of priors in ASD.
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