Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Frontiers in Integrative Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Feb. 27, 2023

Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements hardware, software, research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience community. We spotlight through lens of different end-application users, including unique perspective a manufacturer, report challenges using this technology across several disciplines populations. Through review domains utilized, we identify address presence bias, specifically due restraints current technology, limited diversity among sample populations, societal prejudice that infiltrates today's research. Finally, provide resources minimizing application agenda future use equitable, diverse, inclusive.

Language: Английский

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Review of Stress Detection Methods Using Wearable Sensors

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 38219 - 38246

Published: Jan. 1, 2024

Stress is a significant factor that affects well-being and health. Factors trigger stress include work, social interactions, economic environmental factors. may cause lower labor productivity, physical mental health problems, malfunctions in all aspects of life. Psychosomatic can be improved if proper detection mechanisms are present daily life reduction methods occur. Wearable sensors currently used many commercial scientific applications non-destructive or annoying manner. These devices routines. In this paper, comprehensive review the latest literature developments presented through extensive holistic research on response, both at level autonomic nervous system (ANS) hypothalamic-pituitary-adrenal axis (HPA). This study focused exploitation various methods, technologies, data analysis systems to understand multifaceted Various stress-related factors along with biological signal measurements, secretions biomarkers primarily for detection. Furthermore, manner which body movement posture measurements related was investigated, together speech hand tremors. stress-detection technologies have been analyzed, existing applied highlighted. serves as reference guideline exploring area interest, identifying opportunities, offering ideas, options, suggestions optimized solutions regarding future research.

Language: Английский

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Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks

Frontiers in Neuroergonomics, Journal Year: 2024, Volume and Issue: 5

Published: March 12, 2024

Introduction The efficiency and safety of complex high precision human-machine systems such as in aerospace robotic surgery are closely related to the cognitive readiness, ability manage workload, situational awareness their operators. Accurate assessment mental workload could help preventing operator error allow for pertinent intervention by predicting performance declines that can arise from either work overload or under stimulation. Neuroergonomic approaches based on measures human body brain activity collectively provide sensitive reliable training environments. Methods In this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitoring modalities concurrently capture correlates across longitudinal multi-day investigation. Utilizing two distinct each aspect cardiac (ECG PPG), ocular (EOG eye-tracking), (EEG fNIRS), 23 participants engaged four sessions over 4 weeks, performing tasks associated working memory, vigilance, risk assessment, shifting attention, situation awareness, inhibitory control. Results results revealed varying levels sensitivity within modality. While certain exhibited consistency tasks, neuroimaging modalities, particular, unveiled meaningful differences between conditions domains. Discussion This is first comprehensive comparison these brain-body multiple days findings underscore potential wearable sensing methods evaluating workload. Such neuroergonomic inform development next generation neuroadaptive interfaces more efficient interaction skill acquisition.

Language: Английский

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The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review

Diagnostics, Journal Year: 2024, Volume and Issue: 14(6), P. 663 - 663

Published: March 21, 2024

Functional near-infrared spectroscopy (fNIRS) is an innovative neuroimaging method that offers several advantages over other commonly used modalities. This narrative review investigated the potential contribution of this to study neurodegenerative disorders. Thirty-four studies involving patients with Alzheimer’s disease (AD), mild cognitive impairment (MCI), frontotemporal dementia (FTD), Parkinson’s (PD), or amyotrophic lateral sclerosis (ALS) and healthy controls were reviewed. Overall, it was revealed prefrontal cortex individuals MCI may engage compensatory mechanisms support declining brain functions. A rightward shift suggested compensate for loss left capacity in course decline. In parallel, some reported failure early AD; lack appropriate hemodynamic responses serve as biomarker neurodegeneration. One article assessing FTD demonstrated a heterogeneous cortical activation pattern compared AD, indicating fNIRS contribute challenging distinction these conditions. Regarding PD, there evidence resources (especially executive function) recruited locomotor impairments. As ALS, data involvement extra-motor networks even absence measurable impairment.

Language: Английский

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Enhancing neural efficiency of cognitive processing speed via training and neurostimulation: An fNIRS and TMS study

NeuroImage, Journal Year: 2019, Volume and Issue: 198, P. 73 - 82

Published: May 9, 2019

Language: Английский

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