ArticleNeuroImage2018
Reliable individual differences in fine-grained cortical functional architecture.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Aligning brains into a shared space improves their alignment with large language models.Nature computational science · 2026Article
- The neural correlates of shared and individual experience.Communications biology · 2026Article
- Deviation From Typical Brain Activity During Naturalistic Stimulation Is Related to Personality Traits.Psychophysiology · 2025Article
- Individual differences shape conceptual representation in the brain.bioRxiv : the preprint server for biology · 2025Article
- Action-mode subnetworks for decision-making, action control, and feedback.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures.Communications biology · 2025Article
- Group-to-individual generalizability and individual-level inferences in cognitive neuroscience.Neuroscience and biobehavioral reviews · 2025Review
- Individual gaze shapes diverging neural representations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale.bioRxiv : the preprint server for biology · 2024Article
- Atypical neural encoding of faces in individuals with autism spectrum disorder.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- A Unifying Model for Discordant and Concordant Results in Human Neuroimaging Studies of Facial Viewpoint Selectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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
- Article
- Modeling naturalistic face processing in humans with deep convolutional neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability.Human brain mapping · 2023Article
- The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Regression models for partially localized fMRI connectivity analyses.Frontiers in neuroimaging · 2023Article
- Real-time neurofeedback to alter interpretations of a naturalistic narrative.Neuroimage. Reports · 2022Article
- Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM.Neuroinformatics · 2022Article
- The Role of Visual Experience in Individual Differences of Brain Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Fine-grained functional organization of cortex is not well-conserved across individuals. As a result, individual differences in cortical functional architecture are confounded by topographic idiosyncrasies-i.e., differences in functional-anatomical correspondence. In this study, we used hyperalignment to align information encoded in topographically variable patterns to study individual differences in fine-grained cortical functional architecture in a common representational space. We characterized the structure of individual differences using three common functional indices, and assessed the reliability of this structure across independent samples of data in a natural vision paradigm. Hyperalignment markedly improved the reliability of individual differences across all three indices by resolving topographic idiosyncrasies and accommodating information encoded in spatially fine-grained response patterns. Our results demonstrate that substantial individual differences in cortical functional architecture exist at fine spatial scales, but are inaccessible with anatomical normalization alone.
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