Trial reportPloS one2016
Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults.
Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04869111 (The BrainHealth Project, a Longitudinal Study in Generally Healthy Adults), which is not on this map. Cited by 64 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.
The BrainHealth Project, a Longitudinal Study in Generally Healthy Adults
Who cites it
64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Prognostic Factors and Models for Changes in Cognitive Performance After Multi-Domain Cognitive Training in Healthy Older Adults: A Systematic Review.Frontiers in human neuroscience · 2021Pooled it
- The Effects of Cognitive Training on Brain Network Activity and Connectivity in Aging and Neurodegenerative Diseases: a Systematic Review.Neuropsychology review · 2020Pooled it
- Positive affect disrupts neurodegeneration effects on cognitive training plasticity in older adults.Social cognitive and affective neuroscience · 2024Trial
- Eight-week multi-domain cognitive training does not impact large-scale resting-state brain networks in Parkinson's disease.NeuroImage. Clinical · 2022Trial
- Reorganisation of Brain Hubs across Altered States of Consciousness.Scientific reports · 2020Trial
- Segregation of salience network predicts treatment response of depression to repetitive transcranial magnetic stimulation.NeuroImage. Clinical · 2019Trial
- Resting state brain activity and association with transfer of cognitive training gains.Neuroimage. Reports · 2026Article
- Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures.Brain imaging and behavior · 2026Article
- Genetic risk of Alzheimer's disease is associated with loss of brain network segregation in midlife.Communications biology · 2026Article
- Altered Dynamic Functional Network Connectivity in Post-Stroke Aphasia.Annals of clinical and translational neurology · 2026Article
- Longitudinal Surface-Based Morphometry Reveals Potential MRI Biomarkers Correlated with Multidimensional Brain Health Measures.Research square · 2025Article
- Mechanisms of interventions targeting modifiable factors for dementia risk reduction.Molecular neurodegeneration · 2025Review
- Resting state brain network segregation is associated with walking speed and working memory in older adults.NeuroImage · 2025Article
- Neural basis of adolescent THC-induced potentiation of opioid responses later in life.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy.Brain sciences · 2025Review
- Resting state brain network segregation is associated with walking speed and working memory in older adults.bioRxiv : the preprint server for biology · 2025Article
- The role of spatial processing in verbal serial order working memory.Cognitive, affective & behavioral neuroscience · 2025Article
- Whole-brain modular dynamics at rest predict sensorimotor learning performance.Network neuroscience (Cambridge, Mass.) · 2025Article
- The BrainHealth Project study protocol: a scalable digital approach to measuring and promoting multidimensional brain health across the lifespan.Frontiers in human neuroscience · 2025Article
- Common and unique brain aging patterns between females and males quantified by large-scale deep learning.Human brain mapping · 2024Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Cognitive training interventions are a promising approach to mitigate cognitive deficits common in aging and, ultimately, to improve functioning in older adults. Baseline neural factors, such as properties of brain networks, may predict training outcomes and can be used to improve the effectiveness of interventions. Here, we investigated the relationship between baseline brain network modularity, a measure of the segregation of brain sub-networks, and training-related gains in cognition in older adults. We found that older adults with more segregated brain sub-networks (i.e., more modular networks) at baseline exhibited greater training improvements in the ability to synthesize complex information. Further, the relationship between modularity and training-related gains was more pronounced in sub-networks mediating "associative" functions compared with those involved in sensory-motor processing. These results suggest that assessments of brain networks can be used as a biomarker to guide the implementation of cognitive interventions and improve outcomes across individuals. More broadly, these findings also suggest that properties of brain networks may capture individual differences in learning and neuroplasticity. Trail Registration: ClinicalTrials.gov, NCT#00977418.
Indexed as
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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.