ArticleNeuroImage2024
Brain health in diverse settings: How age, demographics and cognition shape brain function.
Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Improving children's alertness and neuromuscular response by using a blue-enriched white light in the kindergarten playroom.Scientific reports · 2025Trial
- Age-dependent modulations of hemispheric small-world networks in different eye states: resting-state electroencephalogram research.GeroScience · 2026Article
- Brain Signal for Secure EEG Biometric Authentication: A Comprehensive Survey.Sensors (Basel, Switzerland) · 2026Review
- White matter hyperintensities are associated with locus coeruleus atrophy and astrocytic βAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Source-space EEG alpha activity reveals brain age gaps due to neurodegeneration and disparity.Communications biology · 2026Article
- Mapping the neurovascular landscape in aging and dementia: cerebral small vessel disease markers in a multicenter Latin American cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Serum Creatinine Clearance and Cognitive Function in Older Adults: Mediating Effects of Systemic Inflammatory Response Index.Brain and behavior · 2026Article
- Impact of cardiometabolic factors and AD plasma biomarkers on white matter hyperintensities volume in individuals with cognitive complaints from the global south.Neuroscience · 2026Article
- Plasma ATN biomarkers across the alzheimer's disease continuum in a Chilean community- and clinic-based cohort.Alzheimer's research & therapy · 2026Article
- Blood-based AT(N) biomarkers for Alzheimer's disease and frontotemporal lobar degeneration in Latin America.Nature aging · 2026Article
- Article
- Ketamine alters the aperiodic EEG exponent in major depression: implications for cortical E/I balance and treatment prediction.Therapeutic advances in psychopharmacology · 2026Article
- Quantitative electroencephalography as a next-generation tool in neurodiagnostics: significance, clinical applications, and practical interpretative frameworks.Frontiers in neuroscience · 2026Review
- Computational whole-body-exposome models for global precision brain health.Nature communications · 2025Article
- Building blocks of functional connectivity measures for aperiodic electrophysiological brain signals.Neuroimage. Reports · 2025Article
- Creative experiences and brain clocks.Nature communications · 2025Article
- Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia.Nature. Mental health · 2025Article
- From Scalp to Brain: Analyzing the Spatial Complexity of the Shooter's Brain.Brain sciences · 2025Article
- Cardiometabolic state links neurovascular burden with brain structure and function: Evidence from EEG and MRI.NeuroImage · 2025Article
Corrections and comments
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Authors and funding
42 authors.
Funding
Abstract
Diversity in brain health is influenced by individual differences in demographics and cognition. However, most studies on brain health and diseases have typically controlled for these factors rather than explored their potential to predict brain signals. Here, we assessed the role of individual differences in demographics (age, sex, and education; n = 1298) and cognition (n = 725) as predictors of different metrics usually used in case-control studies. These included power spectrum and aperiodic (1/f slope, knee, offset) metrics, as well as complexity (fractal dimension estimation, permutation entropy, Wiener entropy, spectral structure variability) and connectivity (graph-theoretic mutual information, conditional mutual information, organizational information) from the source space resting-state EEG activity in a diverse sample from the global south and north populations. Brain-phenotype models were computed using EEG metrics reflecting local activity (power spectrum and aperiodic components) and brain dynamics and interactions (complexity and graph-theoretic measures). Electrophysiological brain dynamics were modulated by individual differences despite the varied methods of data acquisition and assessments across multiple centers, indicating that results were unlikely to be accounted for by methodological discrepancies. Variations in brain signals were mainly influenced by age and cognition, while education and sex exhibited less importance. Power spectrum activity and graph-theoretic measures were the most sensitive in capturing individual differences. Older age, poorer cognition, and being male were associated with reduced alpha power, whereas older age and less education were associated with reduced network integration and segregation. Findings suggest that basic individual differences impact core metrics of brain function that are used in standard case-control studies. Considering individual variability and diversity in global settings would contribute to a more tailored understanding of brain function.
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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.