Home » Posts tagged 'sfNIRS2024' (Page 5)
Tag Archives: sfNIRS2024
Fr-069-The Impact of Cognitive Styles on Exploratory Search Behaviour and Mental Workload
Cognitive Style affects how people process information and the effort involved. This study examined the differences in users' exploratory search behaviours and mental workload (MWL) across different cognitive style groups. Search behaviour was analyzed using query logs, think-aloud, and functional near-infrared spectroscopy (fNIRS). MWL was assessed using a subjective rating and fNIRS. The results found a significant difference in activation levels in different brain areas among different cognitive style groups when conducting the search tasks using the same search engine. Our study emphasizes the significance of considering cognitive styles in search engine design and understanding search behaviours through brain data. Continue reading
Fr-095-Non-invasive blood flow calibration using a hybrid time-resolved NIRS/DCS system
This work presents a non-invasive method of calibrating diffuse correlation spectroscopy (DCS) by measuring cerebral blood flow (CBF) using time-resolved NIRS (trNIRS) and hypoxia. A brief period of hypoxia was used to cause a transient decrease in arterial oxygen saturation that acts as a blood flow tracer. For validation, CBF was independently measured using the MRI perfusion method, arterial spin labelling (ASL). Good linear correlation was observed between CBF values from trNIRS and ASL. Using hybrid trNIRS/DCS, the approach was used to track absolute CBF during a hypercapnia challenge. Continue reading
Fr-102-Monitoring Cerebral Hemodynamics and Metabolism with a Hybrid trNIRS/DCS System During Shoulder Surgery
A hybrid light-based instrument that combines time-resolved near-infrared spectroscopy (trNIRS) and diffuse correlation spectroscopy (DCS) was used to measure cerebral blood flow (CBF) and the cerebral metabolic rate of oxygen (CMRO2) in patients undergoing elective shoulder surgeries under general anesthesia. Continuous trNIRS and DCS data acquisition revealed the expected reductions in CBF and CMRO2 following anesthesia induction, demonstrating the ability of the device to detect changes in cerebral perfusion and metabolism during surgery. Continue reading
Vi-007-Load-related haemodynamic changes in a working memory task in fibromyalgia patients: an fNIRS study.
Fibromyalgia patients are characterized by working memory impairments related to abnormal functioning of dorsolateral prefrontal cortex. In this study we examined the existence of both neuropsychological and brain haemodynamic differences using fNIRS between patients and control subjects. As expected, beyond the observed lower scores in working memory tests, patients with fibromyalgia presented lower functional activity in prefrontal sites when performing and N-back task. Understanding the relationship between cognitive performance and brain activity may prove crucial for the development of future intervention tools better adapted to these patients. Continue reading
Fr-098-Adapting Virtual Reality Horror Experiences using fNIRS
This paper presents a novel VR horror experience that adapts in real-time using fNIRS data. Our prior work has already established how people’s experiences of fear in VR horror experiences are reflected in fNIRS data. In our system, activation in the left dorsolateral prefrontal cortex is streamed into unity, where the data is processed using GLM before being applied to adapt the visuals and audio elements of our VR experience. This aims to induce or reduce the fear response of the viewer based on the measured fear levels. The experience will tour during summer 2024. Continue reading
Fr-089-NeuroDOT: an Extensible Set of Tools for Optical Brain Mapping in Matlab and Python
NeuroDOT is a Matlab and Python-based toolbox for functional near infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) with functions, pipelines, and training tutorials for data pre-processing, anatomical light modeling, image reconstruction, analysis, and visualization. Adapting the NeuroDOT toolbox to Python addresses challenges of fNIRS and DOT processing including costly software licenses (Matlab and necessary add-on toolboxes) and compatibility with multiple data formats (e.g., NIFTI, GIFTI, NIRS, and SNIRF) and other widely used neuroimaging tools also developed in Python. Continue reading
Fr-088-Cognitive domains classification using fNIRS
We propose to map brain signals onto the ‘cognitive domain’ underlying complex brain functions rather than task themselves. Specifically, we propose to utilize a projection of brain signals using spatial maps defined by the six key cognitive domains defined by the DSM-V (i.e., language, perceptual-motor, executive function, complex attention, social cognition, and learning and memory. Continue reading
Fr-087-First Experiences Integrating fNIRS and Virtual Reality
Integrating non-invasive methods of neuroimaging like functional near-infrared spectroscopy (fNIRS) with Virtual Reality (VR) could give researchers an opportunity to collect data in environments that mimic real-world settings, while maintaining a controlled environment for collecting reliable data. In this study, we used fNIRS to investigate the feasibility and reproducibility of recording brain activity during a VR task to assess spatial working memory. Although, brain activity was recorded successfully from four participants, our initial experiences with integrating these technologies highlighted challenges like susceptibility to motion sickness and participants’ experience with VR, which will need to be considered when designing future tasks. Continue reading
Fr-086-Neural Synchrony as a Mechanism for Shared Reality
Past studies examining social interactions have shown that shared reality shapes collective understanding and social cohesion. While prior research focused on singular perspectives, we investigated the dynamic gradient of neural synchrony in evolving states of shared reality. Dyads of participants (N=34), with different views on student council candidates, will interact, with the objective of reaching an agreement on one candidate. During the interaction, participants' brain response will be measured using fNIRS. We will analyze neural synchrony within different regions to find patterns associated with different states of shared reality. We expect to find increased neural synchrony in social cognition areas. Continue reading
Sa-010-Reliability of fNIRS during a language task in people with aphasia
There is growing interest in using fNIRS to study aphasia, a language disorder caused by stroke, but the reliability of fNIRS in people with aphasia has not been established. We administered a language task to eight adults with aphasia during two fNIRS sessions. Several indices indicated that reliability was fair for the group, but poor for individual subjects and channels. Investigators who use this task with fNIRS should limit inferences to the group level and employ strategies to verify that longitudinal changes are valid, and are not due to normal session-to-session variability. Continue reading