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Category Archives: sfNIRS2024-Session-3
Su-090-Speaker-listener hyperscanning during oral story telling
fNIRS speaker-listener hyperscanning during the telling of short personal stories by 8 undergraduate students at a public organized university event revealed significant interbrain synchrony throughout the stories but varying connectivity patterns at different stages of each story. Specifically, left and right DLPFC speaker-listener connectivity was largely evident throughout but strongest when the speaker was articulating insights gained when tackling a personal challenge/complication. Correlations were similarly high during this insight stage for the SFG. Since this insight stage typically occurred later in the story, the data suggest greater connectivity may be attributable to extended listening to the story and/or to this specific stage. Continue reading
Su-087-Subjective and Objective Pain in Assessment in Alzheimer’s Disease and Related Dementia with fNIRS
Assessment of subjective (self- and caregiver-reported clinical pain scores) and objective (fNIRS) pain measures were conducted on Alzheimer’s disease and related dementia populations. Results indicate that fNIRS pain-evoked responses exhibit a higher correlation with subjective measures reported in participants with higher cognitive function. Continue reading
Su-086-Unveiling spectral signatures of HbO oscillations in different sleep states using all-night EEG/fNIRS in healthy subjects
We propose whole-night EEG/fNIRS, targeting bilateral frontoparietal regions, to investigate cortical oscillations of oxyhemoglobin (HbO) during sleep. Five healthy subjects underwent whole night EEG/fNIRS. We applied Morse analytical wavelet to characterize the oscillatory modes of oxyhemoglobin in different sleep stages, while removing the aperiodic 1/f component. We found specific oxyhemoglobin oscillation signatures around 0.005 and 0.01Hz during tonic and phasic Rapid-Eye-Movement sleep respectively, 0.03-0.06Hz during N2 sleep, and ~0.2Hz during N3 sleep. We are reporting for the first-time sleep-state-specific spectral signatures of HbO oscillations, as a promising approach to characterize physiological and pathological sleep. Continue reading
Su-101-NinjaNIRS 2024: A Wearable High-Density fNIRS System for Whole-Head Imaging
Improving on our previous systems, we have built NinjaNIRS 2024, a modular, wearable whole-head high-density fNIRS system that enables comprehensive study of brain function in naturalistic environments. When configured for whole head coverage, the system features 56 source and 144 detector optodes with a 19mm spacing. Bench tests show that the system achieves low noise and high dynamic range, and initial tests on subjects performing a motor task show promising results. Our goal is to employ the system across multiple studies, enabling us to make additional refinements. Continue reading
Su-102-Linear Model Estimation of Flow State Intensity using fNIRS and EEG Biomarkers
The aim of this study is to quantitatively evaluate the sense of Flow, a psychological state of focused engagement in an activity that leads to enhanced enjoyment and performance. We conducted simultaneous fNIRS and electroencephalography (EEG) measurements during cognitive tasks inducing varied intensity of Flow experience and developed a linear regression model that predicts the time course of Flow intensity. The developed model could estimate the time course of Flow intensity changes with a mean Pearson’s correlation coefficient of 0.74 ± 0.05, suggesting its potential application to measure the level of engagement and motivation with a workload. Continue reading
Su-104-Depression and impulsive decision making shows sex-specific inhibitory control: A fNIRS study
Although depression is more prominent in women, men with depression show greater impulsivity and inclination for impulsivity and risk of self-harm. Depression alters the dorsal network reducing inhibitory control. We examined oxy-hemoglobin response in right dorsolateral prefrontal cortex and impulsive decision-making in the Iowa Gambling Task (N = 49; Males=23). Men with high depression made poor decisions under risk and showed greater changes in rDLPFC (ΔHbO) compared to women with high depression. Depression in men might increase inhibitory demands and lead to impulsive decisions. Continue reading
Su-105-Functional Hybrid Speckle Contrast, Near Infrared Spectroscopy and Electroencephalogram Sensing
Brain-computer interfaces (BCIs) provide a means of communication for individuals with disabilities. Due to the complexity of brain signals, significant differences between individuals, and limitations of each measuring system, it's beneficial to simultaneously obtain hemodynamic and electrical signals for assessing neurovascular coupling using cerebral blood flow (CBF), hemoglobin levels, and electroencephalogram (EEG). In our study, we simultaneously measured all three methods during two cognitive tasks, providing a window for studying neurovascular coupling that may improve existing BCIs Continue reading
Su-106-Few-Shot Learning for Motor Imagery Classification using Optical Multimodal Neuroimaging
Brain-Computer Interfaces (BCIs) hold significant promise in aiding individuals with disabilities, particularly in the realm of motor imagery classification. This research introduces a novel approach using a few-shot learning algorithm for motor imagery classification based on multimodal optical neuroimaging signals. The proposed method integrates embedding, attention, and relation modules to classify right-hand and left-hand motor imagery tasks using simultaneous multimodal near infrared spectroscopy (NIRS) and electroencephalogram (EEG) data. Initially trained on open-source NIRS-EEG datasets, the model is fine-tuned with optical signals to enhance accuracy. Continue reading
Su-070-Investigating the consistency of mental task-related fMRI and fNIRS brain-activation networks
We measured the consistency of eight mental task-related brain-activation networks obtained with 3-T fMRI and fNIRS to investigate to which degree these brain-activation maps match, despite the fNIRS’ considerably lower spatial resolution. Results show that brain-activation maps are highly consistent for both HbO and HbR, and largely correspond to statistical maps obtained with fMRI, suggesting that fNIRS is a viable neuroimaging method for mental-task research and its applications. Continue reading
Su-015-SurfNIRS: Surf Your fNIRS Data with Ease
SurfNIRS (MATLAB Application) is an all-in-one data surfer/viewer for fNIRS with an emphasis on clean visuals, ease of use, and compatibility. The interface includes timeseries, montage, correlation matrix, Fourier transform, and temporal autocorrelations. When loading multiple datasets, the app streamlines navigation (a) across acquisition and (b) across processing steps within an acquisition. This facilitates visual inspection of both the dataset at large as well as of the step-by-step effects of the processing pipeline. The application is intended for identifying issues and verifying processing outputs regardless of the toolbox(es) used. SurfNIRS is undergoing active development and feedback is very much welcomed. Continue reading