ArticleFrontiers in neuroimaging2022
Systems-level decoding reveals the cognitive and behavioral profile of the human intraparietal sulcus.
Article in Frontiers in neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GINNA, a 33 resting-state networks atlas with meta-analytic decoding-based cognitive characterization.Communications biology · 2025Pooled it
- Differential connectivity between core hubs underlying demanding executive functions in schizophrenia compared to autism and control adults.Frontiers in psychiatry · 2026Article
- Children identified for classroom-based math support show altered resting-state connectivity in parietal brain regions.Scientific reports · 2025Article
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2 authors.
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Abstract
Introduction: The human intraparietal sulcus (IPS) covers large portions of the posterior cortical surface and has been implicated in a variety of cognitive functions. It is, however, unclear how cognitive functions dissociate between the IPS's heterogeneous subdivisions, particularly in perspective to their connectivity profile. Methods: We applied a neuroinformatics driven system-level decoding on three cytoarchitectural distinct subdivisions (hIP1, hIP2, hIP3) per hemisphere, with the aim to disentangle the cognitive profile of the IPS in conjunction with functionally connected cortical regions. Results: The system-level decoding revealed nine functional systems based on meta-analytical associations of IPS subdivisions and their cortical coactivations: Two systems-working memory and numeric cognition-which are centered on all IPS subdivisions, and seven systems- Discussion: Our results confirm previous findings on the IPS's role in cognition but also point to previously unknown differentiation along the IPS, which present viable starting points for future work. We also present the systems-level decoding as promising approach toward functional decoding of the human connectome.
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