ArticleHuman brain mapping2018
Age-related changes in the ease of dynamical transitions in human brain activity.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
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
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging.Psychophysiology · 2023Pooled it
- The physiological mechanism and effect of resistance exercise on cognitive function in the elderly people.Frontiers in public health · 2022Pooled it
- Inter-individual differences in baseline dynamic functional connectivity are linked to cognitive aftereffects of tDCS.Scientific reports · 2022Trial
- Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Longitudinal changes in control energy of brain networks in older adults at familial risk for Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Characteristic spatiotemporal features of large-scale functional network architecture in posttraumatic stress disorder.Translational psychiatry · 2026Article
- Automating region selection with genetic algorithms for energy landscape analyses of brain dynamics.Patterns (New York, N.Y.) · 2026Article
- Energy-Based Phase-Locking State Analysis in Brain State Identification.Human brain mapping · 2026Article
- Distinct roles of brain network flexibility in motor learning across age.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Slower transitions between control states lead to reductions in cognitive flexibility over the lifespan.bioRxiv : the preprint server for biology · 2025Article
- Comparison of Large Language Model with Aphasia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Impaired brain ability of older adults to transit and persist to latent states with well-organized structures at wakeful rest.GeroScience · 2025Article
- Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis.Frontiers in neuroscience · 2025Article
- Energy landscape analysis based on the Ising model: Tutorial review.PLOS complex systems · 2025Article
- Surrogate data analyses of the energy landscape analysis of resting-state brain activity.Frontiers in neural circuits · 2025Article
- Discriminative power of diverse nonlinear EEG dynamics across consciousness states during auditory stimulation in disorders of consciousness.Frontiers in human neuroscience · 2025Article
- FNIRS-Based Energy Landscape Analysis to Signify Brain Activity Dynamics of Individuals With Depression.CNS neuroscience & therapeutics · 2024Article
- Article
- Associations of conservatism and jumping to conclusions biases with aberrant salience and default mode network.Psychiatry and clinical neurosciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Executive functions, a set of cognitive processes that enable flexible behavioral control, are known to decay with aging. Because such complex mental functions are considered to rely on the dynamic coordination of functionally different neural systems, the age-related decline in executive functions should be underpinned by alteration of large-scale neural dynamics. However, the effects of age on brain dynamics have not been firmly formulated. Here, we investigate such age-related changes in brain dynamics by applying "energy landscape analysis" to publicly available functional magnetic resonance imaging data from healthy younger and older human adults. We quantified the ease of dynamical transitions between different major patterns of brain activity, and estimated it for the default mode network (DMN) and the cingulo-opercular network (CON) separately. We found that the two age groups shared qualitatively the same trajectories of brain dynamics in both the DMN and CON. However, in both of networks, the ease of transitions was significantly smaller in the older than the younger group. Moreover, the ease of transitions was associated with the performance in executive function tasks in a doubly dissociated manner: for the younger adults, the ability of executive functions was mainly correlated with the ease of transitions in the CON, whereas that for the older adults was specifically associated with the ease of transitions in the DMN. These results provide direct biological evidence for age-related changes in macroscopic brain dynamics and suggest that such neural dynamics play key roles when individuals carry out cognitively demanding tasks.
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.