Uploaded November 2024 | Updated September 2026, 2 hours ago
This webinar introduces new fNIRS methods implemented in NIRSTORM, a Brainstorm plugin for fNIRS data analysis, enabling 3D visualizations and interactions with multi-channel signals. Prof. Grova discusses their algorithm for optimal fNIRS montage, enhancing sensitivity to targeted brain regions, allowing dense montage for local 3D reconstructions. Examples include freely placed optodes or high-density cap positions. Additionally advanced 3D reconstructions of hemoglobin changes on the cortical surface using Maximum Entropy on the Mean (MEM) to solve inverse problems, applied to EEG/fNIRS recordings in sleep and epilepsy studies will be covered.
This webinar introduces new fNIRS methods implemented in NIRSTORM, a Brainstorm plugin for fNIRS data analysis, enabling 3D visualizations and interactions with multi-channel signals. Prof. Grova discusses their algorithm for optimal fNIRS montage, enhancing sensitivity to targeted brain regions, allowing dense montage for local 3D reconstructions. Examples include freely placed optodes or high-density cap positions. Additionally advanced 3D reconstructions of hemoglobin changes on the cortical surface using Maximum Entropy on the Mean (MEM) to solve inverse problems, applied to EEG/fNIRS recordings in sleep and epilepsy studies will be covered.
