Hi,

To calculate dataset features for fNIRS focused on the SMA and MI areas, first preprocess the data to remove noise and artefacts, bearing in mind that experiment design, data quality, and research questions can influence these preprocessing and analysis steps. Segment the cleaned data to isolate motor execution and imagery tasks. Optionally apply filters for further refinement. Then, utilise the fNIRS-SPM toolbox for statistical analysis and feature extraction, such as mean, variance, and functional connectivity metrics. Proper probe placement, signal quality, and correct statistical thresholds are crucial for accurate results.

Hope this helps.

Thanks dear