ArticleNeuroImage2021
Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Cortical functional hierarchy disruption following subcortical stroke.BMC medicine · 2026Article
- Exploiting correlations across trials and behavioral sessions to improve neural decoding.Neuron · 2026Article
- Striosome-Like Structural Connectivity Is Reduced in the Rostral Putamen in Anxiety Disorder.Depression and anxiety · 2026Article
- Exploiting correlations across trials and behavioral sessions to improve neural decoding.bioRxiv : the preprint server for biology · 2025Article
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- Brain activation during cognitive control tasks differs substantially between people but is reliable within individuals.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Spurious correlations in surface-based functional brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Domain adaptation in small-scale and heterogeneous biological datasets.Science advances · 2024Review
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.Research square · 2024Article
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.bioRxiv : the preprint server for biology · 2024Article
- Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale.bioRxiv : the preprint server for biology · 2024Article
- Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Identifying and modulating neural signatures of stress susceptibility and resilience enables control of anhedonia.Research square · 2024Article
- Through their eyes: Multi-subject brain decoding with simple alignment techniques.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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- Neural signatures of stress susceptibility and resilience in the amygdala-hippocampal network.bioRxiv : the preprint server for biology · 2023Article
- The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains.Imaging neuroscience (Cambridge, Mass.) · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Shared information content is represented across brains in idiosyncratic functional topographies. Hyperalignment addresses these idiosyncrasies by using neural responses to project individuals' brain data into a common model space while maintaining the geometric relationships between distinct patterns of activity or connectivity. The dimensions of this common model capture functional profiles that are shared across individuals such as cortical response profiles collected during a common time-locked stimulus presentation (e.g. movie viewing) or functional connectivity profiles. Hyperalignment can use either response-based or connectivity-based input data to derive transformations that project individuals' neural data from anatomical space into the common model space. Previously, only response or connectivity profiles were used in the derivation of these transformations. In this study, we developed a new hyperalignment algorithm, hybrid hyperalignment, that derives transformations based on both response-based and connectivity-based information. We used three different movie-viewing fMRI datasets to test the performance of our new algorithm. Hybrid hyperalignment derives a single common model space that aligns response-based information as well as or better than response hyperalignment while simultaneously aligning connectivity-based information better than connectivity hyperalignment. These results suggest that a single common information space can encode both shared cortical response and functional connectivity profiles across individuals.
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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.