Time-resolved spectral parameterization: Recommendations and guidelines.
Guidelines for accurate time-resolved spectral parameterization improve analysis of neural oscillations and aperiodic activity at fine timescales.
- Why it matters: Understanding aperiodic activity is crucial for linking neural signals to cognition and disease, but practical and statistical challenges hinder reliable analysis.
- What they did: The authors offer recommendations on optimizing model fits, reporting analysis decisions, and handling failures in spectral parameterization across short, noisy data windows.
- The result: Implementing these guidelines enhances reproducibility and accuracy in studying the dynamics of neural activity, advancing insights into cognition, behavior, and neurological conditions.