BigSTeP toolbox


BigSTeP toolbox is a suite of MATLAB functions to estimate repetitive spatiotemporal patterns from many subjects' resting-state brain activity data, including MEG and fMRI. Without the information of onsets, they can estimate spatiotemporal patterns that are common across subjects (common spatiotemporal patterns) as well as the corresponding spatiotemporal patterns in each subjects (subject-specific spatiotemporal patterns).

MATLAB Code


Applicability

From big databases, such as the Human Connectome Project (HCP), it can reveal robust knowledge on spatiotemporal dynamics of resting-state brain activity.


References

Takeda Y., Itahashi T., Sato M., Yamashita O., Estimating repetitive spatiotemporal patterns from many subjects’ resting-state fMRIs. NeuroImage (2019); 203:116182. PDF

Takeda Y., Niroe N., Yamashita O., Whole-brain propagating patterns in human resting-state brain activities. NeuroImage (2021); 245:118711. PDF


Acknowledgements

This research was supported by contracts with the National Institute of Information and Communications Technology entitled 'Development of network dynamics modeling methods for human brain data simulation systems' (173) and 'Analysis of multi-modal brain measurement data and development of its application for BMI open innovation' (209). This work was also supported by the Japan Agency for Medical Research and Development (AMED), grant numbers JP18dm0307008 and JP18dm0307026.