ReviewNeuroscience and biobehavioral reviews2025
Group-to-individual generalizability and individual-level inferences in cognitive neuroscience.
Review in Neuroscience and biobehavioral reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Nonergodicity and Simpson's paradox in neurocognitive dynamics of cognitive control.Nature communications · 2026Article
- Precision Imaging for Intraindividual Investigation of the Reward Response.Human brain mapping · 2026Article
- Neurodatascience: Past, Present, and Future.Data science in science · 2026Article
- Dense Phenotyping of Human Brain Network Organization Using Precision fMRI.Annual review of psychology · 2026Review
- Multimodal machine learning reveals neurobiological signatures of binge-type eating disorders.Frontiers in neuroscience · 2026Article
- External factors show reproducible local symptom-biomarker associations in middle-aged and older adults with heart disease.Frontiers in psychiatry · 2026Article
- Leveraging Machine Learning to Advance Alcohol Research: Current Applications, Challenges, and Opportunities.Alcohol research : current reviews · 2026Review
- Precision Imaging for Intraindividual Investigation of the Reward Response.bioRxiv : the preprint server for biology · 2025Article
- Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain.bioRxiv : the preprint server for biology · 2025Article
- Functional connectivity heterogeneity and consequences for clinical and cognitive prediction: Stage 2 registered report.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Much of cognitive neuroscience research is focused on group-averages and interindividual brain-behavior associations. However, many theories core to the goal of cognitive neuroscience, such as hypothesized neural mechanisms for a behavior, are inherently based on intraindividual processes. To accommodate this mismatch between study design and theory, research frequently relies on an implicit assumption that group-level, between-person inferences extend to individual-level, within-person processes. The assumption of group-to-individual generalizability, formally referred to as ergodicity, requires that a process be both homogenous within a population and stationary within individuals over time. Our goal in this review is to assess this assumption and provide an accessible introduction to idiographic science (study of the individual) for the cognitive neuroscientist, ultimately laying a foundation for increased focus on the study of intraindividual processes. We first review the history of idiographic science in psychology to connect this longstanding literature with recent individual-level research goals in cognitive neuroscience. We then consider two requirements of group-to-individual generalizability, pattern homogeneity and stationarity, and suggest that most processes in cognitive neuroscience do not meet these assumptions. Consequently, interindividual findings are inappropriate for the intraindividual inferences that many theories are based on. To address this challenge, we suggest precision imaging as an ideal path forward for intraindividual study and present a research framework for complementary interindividual and intraindividual study.
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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 Socratic graph.