Hi everyone,
I’m currently working on designing a system that generates automated insights from neuroscience-related data (e.g., BIDS/fMRI datasets) and presents them through an interactive dashboard.
The goal is to move beyond basic visualization and instead provide:
- contextual summaries
- anomaly detection
- pattern explanations across regions or time
Proposed pipeline:
- Preprocess structured neuroscience datasets (BIDS-like format)
- Extract statistical features (mean activity, variance, correlations)
- Apply ML methods (clustering, anomaly detection)
- Generate simple natural-language summaries
- Display outputs in a React-based dashboard
I wanted to ask:
- Are there existing tools or pipelines in neuroinformatics that attempt something similar?
- What are common pitfalls when generating automated insights from neuro data?
- How can interpretability be ensured to avoid misleading conclusions?
Any pointers to tools, papers, or related work would be very helpful.
Thanks!