Uploaded April 2024 | Updated September 2026, 2 hours ago
Invited speaker: Dr. Yalda Shahriari, Associate Professor of Biomedical Engineering and the director of NeuralPC Lab at the University of Rhode Island, US.
Multimodal neuroimaging has demonstrated considerable promise in facilitating a more complete understanding of neural processes associated with many different motor, cognitive, and perceptual processes. In particular, EEG and fNIRS have proven to be particularly synergistic neuroimaging modalities due to their low cost, portability, and compatibility, allowing for the simultaneous recording of electro-cortical and hemodynamic responses to experimental tasks. One particular domain that has benefitted from simultaneous EEG-fNIRS recordings is the exploration of auditory processing, especially when considering the challenges involved in conducting such experiments using other systems intended to measure functional hemodynamic activity, namely fMRI, which is loud and often cost-prohibitive.
The results of the study shed light on the benefits of nonlinear interaction exploration between EEG and fNIRS in multimodal neuroimaging. Additionally, the research extends into the realm of multi-view methodologies for EEG signal categorization, with a focus on the potential of fNIRS for providing robust discriminatory features.
The study highlights the promise of integrating EEG and fNIRS to enhance the classification of neural responses during auditory tasks.
Invited speaker: Dr. Yalda Shahriari, Associate Professor of Biomedical Engineering and the director of NeuralPC Lab at the University of Rhode Island, US.
Multimodal neuroimaging has demonstrated considerable promise in facilitating a more complete understanding of neural processes associated with many different motor, cognitive, and perceptual processes. In particular, EEG and fNIRS have proven to be particularly synergistic neuroimaging modalities due to their low cost, portability, and compatibility, allowing for the simultaneous recording of electro-cortical and hemodynamic responses to experimental tasks. One particular domain that has benefitted from simultaneous EEG-fNIRS recordings is the exploration of auditory processing, especially when considering the challenges involved in conducting such experiments using other systems intended to measure functional hemodynamic activity, namely fMRI, which is loud and often cost-prohibitive.
The results of the study shed light on the benefits of nonlinear interaction exploration between EEG and fNIRS in multimodal neuroimaging. Additionally, the research extends into the realm of multi-view methodologies for EEG signal categorization, with a focus on the potential of fNIRS for providing robust discriminatory features.
The study highlights the promise of integrating EEG and fNIRS to enhance the classification of neural responses during auditory tasks.
