arXiv (OAI Expanded)
open access
Bayesian brain mapping: a population-informed framework for personalized functional network topography and connectivity
The spatial topography of functional brain organization is increasingly recognized to play an important role in cognition and disease. Accounting for individual differences in functional topography is also crucial for accurately distinguishing spatial and temporal aspects of functional brain connect
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Bayesian brain mapping: a population-informed framework for personalized functional network topography and connectivity#798753
- A Bayesian Spatiotemporal Model for Joint Estimation of Brain Activation and Connectivity in fMRI Studies#676426
- Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.#154255
- Functional brain organization is stable within individuals across years#356361
- Eyes-Open and Eyes-Closed Resting State Network Connectivity Differences#728046
Record · ID 797339
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive