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Tag Archives: sfNIRS2024
Fr-035-Subjectivity and Brain Activity-Based Validation to Driving Feedback
In this study, we aim to realize a real-time feedback system that encourages drivers to continuously become aware of safe driving. There are various feedback methods, and so far, five types of subjective impressions have been evaluated using images, warning sounds, and announcements. However, as subjective evaluation alone may lead to responses that intentionally or unintentionally influence the outcome of the experiment, we focused on the brain, which is processing the information, and evaluated feedback by measuring brain activity with NIRS. The results of the experiment indicated that the brain may be activated to process information for those with high subjective evaluation content. Continue reading
Fr-061-Building behavioral and neural foundations for infant fNIRS-neurofeedback
The aim of the current study was to ascertain the feasibility of developing an fNIRS-neurofeedback protocol for infants. The first part of the study was to ensure an effective training paradigm by assessing spontaneous infant preferences of visual stimuli. Building on these findings, we designed a training paradigm that will intrinsically motivate specific neural features. In the second part, we conducted preliminary tests of the task to determine offline the best online signal processing and neurofeedback algorithm. Combined, these findings will provide the foundation for future research to develop a protocol for infant fNIRS-neurofeedback. Continue reading
Vi-004-Improvements in fNIRS-BCI Classification through Integrated Contextual Gate Networks
Abstract: Brain-computer interface (BCI) systems include signal acquisition, preprocessing, feature extraction, classification, and an application phase. This study employs z-score normalization and an Integrated Contextual Gate Network (ICGN) algorithm to enhance fNIRS-based BCIs classification accuracy. Results demonstrate ICGN's superiority over long short-term memory (LSTM) and bidirectional long short-term memory (Bi-LSTM) algorithms, achieving a classification accuracy of 91.23% ± 1.60%. Additionally, the algorithm's efficiency extends to two-class as well as three-class datasets, showcasing its potential for real-time fNIRS-BCI applications. Continue reading
Fr-057-Prefrontal cortex activity associated with hand dexterity – A Functional Near-Infrared Spectroscopy Study –
We investigated the association between hand dexterity and prefrontal cortex activity using functional near-infrared spectroscopy (fNIRS). Twenty right-handed adults participated in experiments in which the Purdue Pegboard Test was used to assess hand dexterity and fNIRS was used to measure cortical activation during a pin-manipulation task requiring dexterity. Statistical analysis revealed increased activity in the contralateral sensorimotor cortex during the pin-manipulation task compared with the control task. In addition, prefrontal cortex activity during the pin-manipulation task correlated with hand dexterity scores. These results suggest a relationship between hand dexterity and prefrontal cortex activity during the pin-manipulation task. Continue reading
Fr-056-Development of an fNIRS-based neurofeedback system using prefrontal asymmetry
Previous studies suggest that “choking under pressure” in sports is associated with asymmetry in prefrontal cortex (PFC) activity, with performance being higher during left hemisphere dominance. In this study, we aimed to develop a neurofeedback system using function near-infrared spectroscopy (fNIRS) based on this finding. This system was developed using a 2-channel fNIRS device and smartphone to provide musical feedback on asymmetry in PFC activity. The effectiveness of the system was evaluated in a preliminary experiment with six participants and the results were positive. Continue reading
Vi-003-Use fNIRS Hyperscanning to Investigate the Effect of Risk Preference on Dyadic Decision
Used fNIRS hyperscanning to investigate the effect of risk preference on dyadic decision. Firstly, used sequential decision task to measure subjects' risk preferences as baseline, and then paired subjects into “risk-risk”, “risk-conservative”, and “conservative-conservative” groups to perform a self-designed dyadic version of sequential risk taking task with fNIRS hyperscanning. Ultimately, we found that the “risk-risk” group got the most rewards, had the fewest number of disagreements in the experiment, and showed greater interpersonal brain synchronization. In conclusion, the “risk-risk” group had a higher quality of risky decision making in the risk-seeking context. Continue reading
Fr-083-Specificity of NIRS-based neurofeedback – Effects of inferior frontal gyrus (IFG) vs.dorsolateral prefrontal cortex (DLPFC) training in highly-impulsive individuals
Neurofeedback (NF) is a method of non-invasive neuromodulation. For the treatment of ADHD, different protocols have been proposed, with the inferior frontal gyrus (IFG) and dorsolateral prefrontal cortex (DLPFC) most frequently targeted. In the present study, we directly compared both protocols in highly-impulsive individuals using eight sessions of fNIRS-NF. We found significant correlations between learning of self-regulation within the DLPFC and IFG, but not a temporal cortex control area. Also, more efficient frontal neural processing during an n-back task occurred following IFG (and partly also DLPFC) NF. We conclude that fNIRS-based frontal NF elicits specific neurocognitive changes; however, the current setup did not specifically target the IFG vs. DLPFC region. Continue reading
Fr-080-The role of the DLPFC in conflict adaptation –A simultaneous fNIRS-EEG study
The dorsolateral prefrontal cortex (DLPFC) is a key player in cognitive control; however, the exact mechanisms by which this process is accomplished are still unclear. To address this question, an audiovisual Stroop task was used in combination with simultaneous fNIRS-EEG and inhibitory neurostimulation. The results indicate a causal role of the DLPFC in the implementation of cognitive control in high-conflict situations via two mechanisms: Suppression of distracting sensory input (auditory cortex) or amplification of stimulus processing with an activation shift towards task-relevant areas (visual system). These data give important insights into the mechanisms by which the DLPFC accomplishes conflict adaptation. Continue reading
Fr-075-Hyperspectral time-resolved near-infrared spectroscopy technique for adult neuromonitoring
Hyperspectral time-resolved near-infrared spectrometers have the potential to monitor adult cerebral blood oxygenation and metabolism with minimal extracerebral contamination; however, they are typically limited by trade-offs between spectral range, spectral resolution, and sampling rate. This work presents a hyperspectral time-resolved near-infrared spectrometer that uses compressive sensing to enable fast data acquisition while maintaining spectral range and resolution. The sensitivity of the device to changes in blood oxygenation and metabolism in deep tissue was confirmed in phantom experiments with comparison to gold standard measures. Future work will validate the sensitivity of the device to adult cerebral blood oxygenation and metabolism. Continue reading
Fr-074-Laughing Together – do people synchronize and bond when they laugh together?
The aim of this study is to investigate if laughing together supports interbrain synchrony which in turn supports positive social outcomes between people. For this purpose, we manipulate laughing in pairs of participants and subsequently measure interbrain synchrony with fNIRS hyperscanning, bonding and joint action. We use a sequential Bayesian approach to achieve the sample size with a Bayes factor of 5 or 1/5. A preliminary Bayes ANOVA (N=84) revealed that the data for the interbrain synchrony are in favor of the null hypotheses. Further variables (laughter, bonding) are currently being analyzed. Data collection is ongoing. Continue reading