ArticleAperture neuro2024
Application of hyperalignment to resting state data in individuals with psychosis reveals systematic changes in functional networks and identifies distinct clinical subgroups.
Article in Aperture neuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The neural correlates of shared and individual experience.Communications biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Psychosis related disorders are severe and difficult to define with brain-based biomarkers due, in part, to heterogeneous psychosis symptoms and individual differences in the brain. Recent innovations in computational neuroscience may address these difficulties. Hyperalignment aligns voxel-wise patterns of neural activity across individuals to improve signal in brain data. Transformation metrics may also serve as biomarkers that reflect clinically relevant differences in pattern connectivity (scale), baseline connectivity (translation), and network topography (rotation). In the present study, we apply hyperalignment to resting state functional connectivity between the frontal cortex and regions throughout the brain in a sample of individuals diagnosed with psychosis and healthy controls. We used binary class support vector machines (SVM) to classify psychosis using unaligned (accuracy=66.50%,
Indexed as
Identifiers
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.