ArticleEntropy (Basel, Switzerland)2022
On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A comprehensive analysis of brain network complexity in task-based fMRI using entropy: systematic review.Brain imaging and behavior · 2026Pooled it
- A Wavelet-Based Framework for Mapping Long Memory in Resting-State fMRI: Age-Related Changes in the Hippocampus From the ADHD-200 Dataset.Human brain mapping · 2026Article
- Age-Related Changes in EEG Signal Complexity and Behavioral Variability from Childhood to Adulthood: A Multiscale Entropy Approach.Entropy (Basel, Switzerland) · 2026Article
- Bilingualism modulates functional connectivity induced by a domain-general artificial grammar learning task.Scientific reports · 2026Article
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
- Wired Differently? Brain Temporal Complexity and Intelligence in Autism Spectrum Disorder.Brain sciences · 2025Article
- Machine Learning and Graph Signal Processing Applied to Healthcare: A Review.Bioengineering (Basel, Switzerland) · 2024Review
- Discovering individual fingerprints in resting-state functional connectivity using deep neural networks.Human brain mapping · 2024Article
- Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences.Behavioral and brain functions : BBF · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Measuring the temporal complexity of functional MRI (fMRI) time series is one approach to assess how brain activity changes over time. In fact, hemodynamic response of the brain is known to exhibit critical behaviour at the edge between order and disorder. In this study, we aimed to revisit the spatial distribution of temporal complexity in resting state and task fMRI of 100 unrelated subjects from the Human Connectome Project (HCP). First, we compared two common choices of complexity measures, i.e., Hurst exponent and multiscale entropy, and observed a high spatial similarity between them. Second, we considered four tasks in the HCP dataset (Language, Motor, Social, and Working Memory) and found high task-specific complexity, even when the task design was regressed out. For the significance thresholding of brain complexity maps, we used a statistical framework based on graph signal processing that incorporates the structural connectome to develop the null distributions of fMRI complexity. The results suggest that the frontoparietal, dorsal attention, visual, and default mode networks represent stronger complex behaviour than the rest of the brain, irrespective of the task engagement. In sum, the findings support the hypothesis of fMRI temporal complexity as a marker of cognition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.