Install pydfc and run dFC demo workflows with sample data.
npx skills add https://github.com/bcmcpher/my-skills --skill pydfc-demo-guide
Please help me install this Agent Skill. Skill: pydfc-demo-guide Source: https://github.com/bcmcpher/my-skills/tree/main/config/skills/pydfc-demo-guide Command: npx skills add https://github.com/bcmcpher/my-skills --skill pydfc-demo-guide
Install pydfc, acquire demo data, and run a dynamic functional connectivity workflow via a concise, copy-paste-friendly walkthrough.
Install pydfc, download the demo data, and load it into TIME_SERIES objects to begin the guided workflow.
High-intent search queries and answers about installing and using this skill.
To run a dynamic functional connectivity (dFC) demo workflow, you need to install the pydfc library, download the sample BOLD data, and load it into TIME_SERIES objects to execute your chosen dFC method using the provided notebook.
The pydfc library supports multiple dynamic functional connectivity methods, including Sliding Window (SW), Time-Frequency (TF), Co-Activation Patterns (CAP), SWC, CHMM, DHMM, and a WINDOWLESS approach, all executable via ready-to-run code snippets.
Yes, running the pydfc dynamic functional connectivity walkthrough requires Python 3.x along with pip or conda for installation, plus access to the dFC notebook resources to execute the sample data workflow.
For multi-subject dynamic functional connectivity analysis, you load the acquired demo fMRI data into BOLD_multi objects within the pydfc framework, allowing you to execute your selected dFC method across the sample dataset.
The best way to start with dynamic functional connectivity analysis is using a lightweight, interactive notebook walkthrough that covers pydfc installation, sample data loading, and method execution for single-subject or multi-subject demos.
Yes, you can use pydfc for a single-subject quick-start dynamic functional connectivity analysis by loading the downloaded sample BOLD data into TIME_SERIES objects and running your chosen method from the available options.
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