EEG, MEG, and simultaneous EEG/MEG have been used commonly to measure rapidly changing cortical oscillations in the human brain. Individually, each modality has its own advantages and disadvantages. Thus, the simultaneous measurement is quite advantageous in multi-modal analyses in that it can emphasize the advantages of each modality, as well as compensate for the disadvantages of the individual modality with reasonable mathematical or computational integrative frameworks. In this sense, many integrative approaches in multi-modal MEG/EEG/fMRI/sMRI have been reported that primarily improve spatial or temporal resolutions, or both, to achieve a better functional brain mapping. Recently, new converging fields have received a great attention, such as neuroergonomics, neuroeconomics, neurocinematics, neurosport, neurotainment, neuroeducation, neuromusics, brain-computer interface, and so on. In these new fields, multi-modal brain signal processing is necessarily required to verify the feasibility and efficacy of recent advanced techniques that may easily open new markets. In parallel with such movements, affordable mobile and wearable techniques, such as fNIRS, wireless EEG/ECG/EMG, and PPG, are proliferating; thus, new multi-modal signal processing approaches that combine these wearable devices are being developed.
We are seeking theoretical, methodological, and in particular, empirical papers dealing with different topics that include, but are not limited to:
(1) Multi-modal brain signal processing of EEG/MEG/fMRI/fNIRS;
(2) Multi-modal bio-signal processing for body area network;
(3) Hybrid BCI using multi-modal signals;
(4) Multi-modal signal processing for wearable devices;
(5) Emerging applications of multi-modal signal processing technology;
(6) Methodologies for multi-modal fusion and integration; and
(7) Reviews charting the latest developments in multi-modal brain signal processing and applications (The Reporting Items for Systematic Reviews and Meta-Analyses, PRISMA, should be used for systematic reviews).
The primary goal of this research topic is to promote the recent development of multi-modal signal processing in various emerging fields by bringing together the contributions from researchers in basic and clinical neuroscience who use multi-modal signal processing.
EEG, MEG, and simultaneous EEG/MEG have been used commonly to measure rapidly changing cortical oscillations in the human brain. Individually, each modality has its own advantages and disadvantages. Thus, the simultaneous measurement is quite advantageous in multi-modal analyses in that it can emphasize the advantages of each modality, as well as compensate for the disadvantages of the individual modality with reasonable mathematical or computational integrative frameworks. In this sense, many integrative approaches in multi-modal MEG/EEG/fMRI/sMRI have been reported that primarily improve spatial or temporal resolutions, or both, to achieve a better functional brain mapping. Recently, new converging fields have received a great attention, such as neuroergonomics, neuroeconomics, neurocinematics, neurosport, neurotainment, neuroeducation, neuromusics, brain-computer interface, and so on. In these new fields, multi-modal brain signal processing is necessarily required to verify the feasibility and efficacy of recent advanced techniques that may easily open new markets. In parallel with such movements, affordable mobile and wearable techniques, such as fNIRS, wireless EEG/ECG/EMG, and PPG, are proliferating; thus, new multi-modal signal processing approaches that combine these wearable devices are being developed.
We are seeking theoretical, methodological, and in particular, empirical papers dealing with different topics that include, but are not limited to:
(1) Multi-modal brain signal processing of EEG/MEG/fMRI/fNIRS;
(2) Multi-modal bio-signal processing for body area network;
(3) Hybrid BCI using multi-modal signals;
(4) Multi-modal signal processing for wearable devices;
(5) Emerging applications of multi-modal signal processing technology;
(6) Methodologies for multi-modal fusion and integration; and
(7) Reviews charting the latest developments in multi-modal brain signal processing and applications (The Reporting Items for Systematic Reviews and Meta-Analyses, PRISMA, should be used for systematic reviews).
The primary goal of this research topic is to promote the recent development of multi-modal signal processing in various emerging fields by bringing together the contributions from researchers in basic and clinical neuroscience who use multi-modal signal processing.