Individual-specific characterization of event-related hemodynamic responses during an auditory task: An exploratory...

Area of Science:

• Neuroscience
• Biomedical Engineering

Background:

• Functional near-infrared spectroscopy (fNIRS) is crucial for understanding auditory processing.
• Existing research on hemodynamic responses in auditory tasks, especially event-related fNIRS, requires further comprehensive exploration.

Purpose of the Study:

• To characterize fNIRS-based hemodynamic changes during auditory tasks in healthy adults using an individual-specific approach.
• To explore the utility of independent component analysis (ICA) for extracting auditory-related hemodynamic features.

Main Methods:

• Acquired oxygenated hemoglobin (HbO2) concentration change time courses from eight participants.
• Applied individual-specific ICA to isolate spatial filters for extracting auditory-related hemodynamic features from HbO2 time courses.

Main Results:

• The ICA-based method identified significant auditory hemodynamic features in all participants, outperforming pre-filtering analysis.
• ICA-based filtering improved the correlation between trial labels and extracted features for every participant.
• Demonstrated novel hemodynamic features for auditory processing experiments.

Conclusions:

• Individual-specific ICA-based spatial filtering is effective for fNIRS feature extraction in auditory experiments.
• This approach provides insights for future auditory hemodynamic studies and clinical applications for auditory processing disorders.