ReviewBrain structure & function2026
Neurovariability as a signature of adaptive brain function.
Review in Brain structure & function, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Neurovariability refers to the naturally occurring differences in brain structure and functional organisation across individuals. Rather than being noise, this variability reflects an adaptive feature of human neurobiology, supporting diversity, flexibility, learning, and resilience across evolution and lifespan. Here, we summarise the anatomical, functional, and evolutionary foundations of neurovariability, its relevance to health and disease, and the current limitations of methods for quantifying it. By understanding neurovariability as an emergent property of complex systems, we highlight its importance in advancing personalised neuroscience.
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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.