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).
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.