ArticleFrontiers in neuroscience2018
Hurst Exponent Analysis of Resting-State fMRI Signal Complexity across the Adult Lifespan.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging.European radiology · 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
- Lifespan trajectories of the brain's functional complexity characterized by multiscale sample entropy.NeuroImage · 2026Article
- Positive Interpretation of Emotional Ambiguity Across Development: LC-dlPFC Circuitry.bioRxiv : the preprint server for biology · 2026Article
- Spike dynamics in primate lateral prefrontal cortex during working memory and decision-making: A fractal analysis.iScience · 2026Article
- Fractal Analysis of Brain Activity During Risky Drinking in Adolescents and Young Adults.Brain sciences · 2025Article
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
- Normative Brain Entropy Across the Lifespan.bioRxiv : the preprint server for biology · 2025Article
- Markov models and long-term memory in ion channels: A contradiction in terms?Biophysical journal · 2025Article
- The lifelong nonlinear development of spatial variability of brain signals.Communications biology · 2025Article
- Older is order: entropy reduction in cortical spontaneous activity marks healthy aging.BMC neuroscience · 2024Article
- Temporal complexity of the BOLD-signal in preterm versus term infants.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Decreased long-range temporal correlations in the resting-state functional magnetic resonance imaging blood-oxygen-level-dependent signal reflect motor sequence learning up to 2 weeks following training.Human brain mapping · 2024Article
- Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms.Brain topography · 2024Review
- Increased regional Hurst exponent reflects response inhibition related neural complexity alterations in pediatric bipolar disorder patients during an emotional Go-Nogo task.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Fractal Time Series: Background, Estimation Methods, and Performances.Advances in neurobiology · 2024Review
- Multifractal long-range dependence pattern of functional magnetic resonance imaging in the human brain at rest.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Scale-free dynamics of core-periphery topography.Human brain mapping · 2023Article
- Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations.The European journal of neuroscience · 2022Review
- On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI.Entropy (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Exploring functional information among various brain regions across time enables understanding of healthy aging process and holds great promise for age-related brain disease diagnosis. This paper proposed a method to explore fractal complexity of the resting-state functional magnetic resonance imaging (rs-fMRI) signal in the human brain across the adult lifespan using Hurst exponent (HE). We took advantage of the examined rs-fMRI data from 116 adults 19 to 85 years of age (44.3 ± 19.4 years, 49 females) from NKI/Rockland sample. Region-wise and voxel-wise analyses were performed to investigate the effects of age, gender, and their interaction on complexity. In region-wise analysis, we found that the healthy aging is accompanied by a loss of complexity in frontal and parietal lobe and increased complexity in insula, limbic, and temporal lobe. Meanwhile, differences in HE between genders were found to be significant in parietal lobe (
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