Mechanistic versus descriptive interpretation of brain activity pattern reconstruction.

Geometric eigenmodes accurately fit brain activity patterns but may not provide mechanistic explanations for brain function.

• Why it matters: Understanding whether models like geometric eigenmodes offer mechanistic insights is crucial for advancing neuroimaging interpretations and avoiding conflating descriptive fit with causality.
• What they did: The authors tested geometric eigenmodes and localized parcel-based representations by fitting them to manipulated brain activity patterns, demonstrating high flexibility in both approaches.
• The result: Findings suggest that while geometric eigenmodes describe brain activity well, they lack specificity and biological interpretability, emphasizing the need to distinguish descriptive models from mechanistic explanations.