ArticleBrain imaging and behavior2015
Who wants a free brain scan? Assessing and correcting for recruitment biases in a population-based sMRI pilot study.
Article in Brain imaging and behavior, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 of them syntheses that pooled it.
What it found
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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.
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Who cites it
33 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- On the (limited) use of touchscreen-based behavioural and cognitive research with dogs: potential causes and future directions.Animal cognition · 2026Pooled it
- Demographic reporting across a decade of neuroimaging: a systematic review.Brain imaging and behavior · 2022Pooled it
- Pooled it
- Exposure to Air Pollution in Relation to Risk of Dementia and Related Outcomes: An Updated Systematic Review of the Epidemiological Literature.Environmental health perspectives · 2021Pooled it
- Exposure to air pollution as a potential contributor to cognitive function, cognitive decline, brain imaging, and dementia: A systematic review of epidemiologic research.Neurotoxicology · 2016Pooled it
- Trial
- Association of tailpipe-related and nontailpipe-related air pollution exposure with neuroimaging outcomes.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Considerations for Use of Blood-Based Biomarkers in Epidemiologic Dementia Research.American journal of epidemiology · 2024Article
- How Generalizable Are Findings from a Community-Based Prospective Cohort Study? Extending Estimates from the Adult Changes in Thought Study to Its Source Population.Journal of Alzheimer's disease : JAD · 2024Article
- Development of a machine learning algorithm to predict the residual cognitive reserve index.Brain communications · 2024Article
- Resilience to AD pathology in Top Cognitive Performers.Frontiers in aging neuroscience · 2024Article
- Racial, Ethnic, and Geographic Diversity in Population Neuroscience.Current topics in behavioral neurosciences · 2024Review
- Accounting for lack of representation in dementia research: Generalizing KHANDLE study findings on the prevalence of cognitive impairment to the California older population.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Article
- Assessment of potential selection bias in neuroimaging studies of postoperative delirium and cognitive decline: lessons from the SAGES study.Brain imaging and behavior · 2022Article
- Cortico-striatal functional connectivity and cerebral small vessel disease: Contribution to mild Parkinsonian signs.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Better Executive Functions Are Associated With More Efficient Cognitive Pain Modulation in Older Adults: An fMRI Study.Frontiers in aging neuroscience · 2022Article
- Vascular cognitive impairment and dementia: An early career researcher perspective.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Predictors of attrition in a longitudinal population-based study of aging.International psychogeriatrics · 2021Article
- Regional Cortical Thickness Predicts Top Cognitive Performance in the Elderly.Frontiers in aging neuroscience · 2021Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Neuroimaging research is usually conducted in volunteers who meet a priori selection criteria. Selection/volunteer bias is assumed but cannot be assessed. During an ongoing population-based cohort study of 1982 older adults, we asked 1702 active participants about their interest in undergoing a research brain scan. Compared with those not interested, the 915 potentially interested individuals were significantly younger, more likely to be male, better educated, generally healthier, and more likely to be cognitively intact and dementia-free. In 48 of the interested individuals, we conducted a previously reported pilot structural magnetic resonance imaging (sMRI) study modelling mild cognitive impairment (MCI) vs. normal cognition, and Clinical Dementia Rating (CDR) = 0.5 vs. CDR = 0, as a function of sMRI atrophy ratings. We now compare these 48 individuals (1) with all interested participants, to assess selection bias; (2) with all who had been asked about their interest, to assess volunteer bias; and (3) with the entire study cohort, to assess attrition bias from those who had dropped out before the question was asked. Using these data in propensity score models, we generated weights which we applied to logistic regression models reanalyzing the data from the pilot sMRI study. These weighted models adjusted, in turn, for selection bias, interest/volunteer bias, and attrition bias. They show fewer regions of interest to be associated with MCI/ CDR than were in the original unweighted models. When study participants are drawn from a well-characterized population, they can be compared with non-participants, and the information used to correct study results for potential bias and thus provide more generalizable estimates.
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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.