Brain connectivity, EEG, and fMRI in one neuroscience workspace
The Neurology area is a web workspace for brain connectivity, functional imaging, and electrophysiology research. Upload connectivity matrices, EEG, or fMRI data; compute graph-theoretic network metrics; explore interactive brain visualizations; compare cohorts with Network-Based Statistics (NBS); and generate AI-assisted interpretations grounded in computed outputs.
Use cases
Guided workflows map common questions to data requirements, analysis steps, and documentation — pick the scenario closest to your study.
Research question: What is the topology of this brain network? Which nodes are hubs, how segregated and integrated is the network, and does it exhibit small-world properties?
Analyze a precomputed connectivity matrix — compute Brain Connectivity Toolbox graph metrics, explore interactive visualizations, and generate analytical interpretation.
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Research question: How is functional connectivity organized in this resting-state scan, and how does it differ across patient and control groups?
Build functional connectivity matrices from resting-state fMRI data, compute graph metrics, and compare connectivity patterns across cohorts.
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Research question: What frequency-band activity and functional connectivity patterns characterize this EEG recording, and do microstate dynamics reveal altered brain state organization?
Preprocess EEG recordings, extract spectral and connectivity features, and compute graph metrics on derived connectivity matrices.
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Research question: Which connectivity edges or graph-theoretic properties differ significantly between patient and control groups, or between treatment conditions?
Compare brain connectivity across participant groups using batch graph metrics, Network-Based Statistics (NBS), and group-level metric comparison.
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Capabilities
Everything available in the Neurology workspace today — pipelines, explorers, exports, and provenance.