ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024
Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 40 citations in OpenAlex.
- Periodic and aperiodic components during shooting preparation and pre-/post-task resting states: a spectral parameterization study.Experimental brain research · 2026Article
- An Exploratory Age-Adjusted Model of Individual Alpha Peak Frequency in Healthy Older Adults: A FOOOF-Based Spectral Parametrization Study.European journal of investigation in health, psychology and education · 2026Article
- Long-term reliability and stability of parameterized resting state EEG: evidence from a five-year follow-up.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Oscillatory alpha and aperiodic neural correlates of visual working memory and attention.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
- Behavioral Phenotype Associations With Resting State EEG Signal Complexity and Power Spectral Density in Fragile X Syndrome.Autism research : official journal of the International Society for Autism Research · 2026Article
- Mapping Executive Function Performance Based on Resting-State EEG in Healthy Individuals: A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Wakefulness regulation of memory encoding and retrieval: structure and activity.National science review · 2026Review
- The Relationship Between Task-Related Aperiodic EEG Activity, Neural Inefficiency and Verbal Working Memory in Younger and Older Adults.Psychophysiology · 2026Article
- Article
- Time-resolved aperiodic dynamics in event segmentation in attention-deficit/hyperactivity disorder.Brain communications · 2026Article
- Immersive virtual reality as a novel approach to improve social cognition in multiple sclerosis: an EEG-based pilot study.Frontiers in neuroscience · 2026Article
- The phase average wavelength of alpha rhythm in EEG signals of patients with Parkinson's disease combined with cognitive impairment.PloS one · 2026Article
- Oscillatory dynamics as the coordination layer of the organism: waves, Markov blankets, and the virtual space of cognition.Frontiers in neuroscience · 2026Article
- Article
- Global scale-free brain activity as a potential neural signature of visual information processing in aging.Frontiers in aging neuroscience · 2026Article
- Article
- Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.Brain topography · 2025Article
- Temporal autocorrelation is predictive of age-An extensive MEG time-series analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Aperiodic EEG signatures: unveiling the interplay between APOE ε4 and mild cognitive impairment subtypes.Frontiers in aging neuroscience · 2025Article
Corrections and comments
- Update of
Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
Abstract
Measures of intrinsic brain function at rest show promise as predictors of cognitive decline in humans, including EEG metrics such as individual α peak frequency (IAPF) and the aperiodic exponent, reflecting the strongest frequency of α oscillations and the relative balance of excitatory/inhibitory neural activity, respectively. Both IAPF and the aperiodic exponent decrease with age and have been associated with worse executive function and working memory. However, few studies have jointly examined their associations with cognitive function, and none have examined their association with longitudinal cognitive decline rather than cross-sectional impairment. In a preregistered secondary analysis of data from the longitudinal Midlife in the United States (MIDUS) study, we tested whether IAPF and aperiodic exponent measured at rest predict cognitive function (
Indexed as
Identifiers
What OpenQuestion holds
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.