ArticleImaging neuroscience (Cambridge, Mass.)2025
Challenges in measuring individual differences of brain function.
Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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.
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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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional near-infrared spectroscopy for identifying mild cognitive impairment and Alzheimer's disease: a systematic review.Frontiers in neurology · 2025Pooled it
- A Four-Wavelength Photoplethysmography dataset for non-invasive hemoglobin assessment.Scientific data · 2026Article
- Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile.Molecular psychiatry · 2025Article
- Context modulates brain state dynamics and behavioral responses during narrative comprehension.bioRxiv : the preprint server for biology · 2025Article
- Robustness, spatial detail, and pitfalls of fixed ICA dimensionality in resting-state fMRI networks at 1.5, 3, and 7 T.Frontiers in neuroscience · 2025Article
- Context modulates brain state dynamics and behavioral responses during narrative comprehension.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
With a growing interest in personalized medicine, functional neuroimaging research has recently shifted focus from the evaluation of group-level summaries to associating individual differences in brain function with behaviors. However, this new focus brings forth challenges related to accurately measuring the sources of individual variation in functional signals. In this perspective, we highlight the impact of within-individual variations and discuss the concept of measurement reliability as a critical tool for accounting for within- and between-individual variations when measuring individual differences in 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.