ArticleGeroScience2024
Resting-state fractal brain connectivity is associated with impaired cognitive performance in healthy aging.
Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- Fractal dynamics of the healthy human brain: A subcortical-to-cortical gradient of temporal complexity.iScience · 2026Article
- Global scale-free brain activity as a potential neural signature of visual information processing in aging.Frontiers in aging neuroscience · 2026Article
- Multifractal Cascade Modeling Reveals Fundamental Limits of Current Neuroimaging Strategies.Sensors (Basel, Switzerland) · 2025Article
- Whole-body networks: a holistic approach for studying aging.GeroScience · 2025Article
- Reduced temporal variability of cortical excitation/inhibition ratio in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex.GeroScience · 2025Article
- Fingerprints of decreased cognitive performance on fractal connectivity dynamics in healthy aging.GeroScience · 2024Article
- Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance.Frontiers in neuroscience · 2024Article
- The Role of Methionine-Rich Diet in Unhealthy Cerebrovascular and Brain Aging: Mechanisms and Implications for Cognitive Impairment.Nutrients · 2023Review
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Authors and funding
6 authors at 1 institution in 3 countries.
Funding
Abstract
Aging affects cognitive functions even in the absence of ongoing pathologies. The neurophysiological basis of age-related cognitive decline (CD), however, is not completely understood. Alterations in both functional brain connectivity and in the fractal scaling of neuronal dynamics have been linked to aging and cognitive performance. Recently, fractal connectivity (FrC) has been proposed - combining the two concepts - for capturing long-term interactions among brain regions. FrC was shown to be influenced by increased mental workload; however, no prior studies investigated how resting-state FrC relates to cognitive performance and plausible CD in healthy aging. We recruited 19 healthy elderly (HE) and 24 young control (YC) participants, who underwent resting-state electroencephalography (EEG) measurements and comprehensive cognitive evaluation using 7 tests of the Cambridge Neurophysiological Test Automated Battery. FrC networks were reconstructed from EEG data using the recently introduced multiple-resampling cross-spectral analysis (MRCSA). Elderly individuals could be characterized with increased response latency and reduced performance in 4-4 tasks, respectively, with both reaction time and accuracy being affected in two tasks. Auto- and cross-spectral exponents - characterizing regional fractal dynamics and FrC, respectively, - were found reduced in HE when compared to YC over most of the cortex. Additionally, fractal scaling of frontoparietal connections expressed an inverse relationship with task performance in visual memory and sustained attention domains in elderly, but not in young individuals. Our results confirm that the fractal nature of brain connectivity - as captured by MRCSA - is affected in healthy aging. Furthermore, FrC appears as a sensitive neurophysiological marker of age-related CD.
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