Article
Biochemical Research Methods
Richong Pang, Dan Wang, Tara Scarlette Rosalyn Chen, Anping Yang, Li Yi, Sisi Chen, Jie Wang, Kai Wu, Chaochao Zhao, Hua Liu, Yilong Ai, Aoran Yang, Jinyan Sun
Summary: This study used functional near-infrared spectroscopy to investigate the prefrontal cortex network reorganization in stroke patients with dyskinesias. The results showed that stroke patients exhibited specific network reorganization in the PFC, which had a negative correlation with patients' motor function.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Neurosciences
Dan Wang, Jie Wang, Hongbo Zhao, Yahui Liang, Wenyue Zhang, Mingxi Li, Hua Liu, Di Hu, Sibin Zhang, Enlong Xing, Ying Su, Wanchen Yu, Jinyan Sun, Aoran Yang
Summary: With the increasing incidence of stroke due to the ageing of the global population, it has become a public health problem that affects adult health. Limb motor dysfunction is a common complication of stroke and an important factor in disability. This study aimed to use functional near-infrared spectroscopy (fNIRS) to assess prefrontal neuroplasticity markers and their relationship with limb motor function in stroke patients with limb motor dysfunction, in order to clarify the relationship between brain neuroplasticity and cerebral haemodynamics, and to help clinicians formulate individualized rehabilitation treatment plans.
Article
Neurosciences
Abigail Fiske, Carina de Klerk, Katie Y. K. Lui, Liam Collins-Jones, Alexandra Hendry, Isobel Greenhalgh, Anna Hall, Gaia Scerif, Henrik Dvergsdal, Karla Holmboe
Summary: Inhibitory control, a core executive function, develops rapidly from infancy and is supported by the right prefrontal and parietal cortices in 10-month-old infants.
Article
Neurosciences
Xiaopeng Si, Shaoxin Xiang, Ludan Zhang, Sicheng Li, Kuo Zhang, Dong Ming
Summary: The study found that acupuncture manipulation significantly improved deqi performance and modulated the cortical network by inhibiting the bilateral prefrontal cortex and motor cortex, demonstrating the effects of Hegu acupoint acupuncture manipulation on the brain's functional network.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Xuexin Tian, Yimeng Liu, Zengzhi Guo, Jieqing Cai, Jie Tang, Fei Chen, Hongzheng Zhang
Summary: This study used fNIRS to investigate the cerebral representation of different sound sources and found that the classification accuracy of sound localization tasks varied with the direction and intensity of the sound. The increase of oxyhemoglobin in the cortical regions of the brain was observed, showing different neural activity patterns between lateral and frontal sources in the auditory cortex and dorsolateral prefrontal cortex. These findings may contribute as a fundamental basis for further research on the use of fNIRS in spatial auditory studies.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Clinical Neurology
Huifen Wu, Taiping Li, Cong Peng, Caihong Yang, Yueran Bian, Xiaoqin Li, Qiang Xiao, Pu Wang, Zhe Zhang, Yan Zhang
Summary: This study aimed to distinguish between patients with anxious and non-anxious depression using functional near-infrared spectroscopy (fNIRS) based on differences in hemodynamic changes in the right prefrontal cortex. The results showed significant differences in hemodynamic activation patterns between patients with and without anxious depression.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Multidisciplinary Sciences
Andrea Bizzego, Giulio Gabrieli, Atiqah Azhari, Mengyu Lim, Gianluca Esposito
Summary: This paper presents a dataset of fNIRS recordings from mother-child and father-child dyads, allowing for the investigation of brain-to-brain synchrony and the development of new fNIRS analysis techniques. The dataset provides valuable insights into prefrontal cortical activity during passive viewing and interactive tasks in participants of different ages.
Article
Neurosciences
Soo-Yong Park, Maren Reinl, Nadja Schott
Summary: This study found that both high-intensity interval exercise and moderate-intensity continuous exercise have positive effects on fine motor-cognitive performance during dual-task in healthy young adults, with increased neural activity in the prefrontal cortex playing a key role.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Wei-Ta Chen, Cing-Yan Hsieh, Yao-Hong Liu, Pou-Leng Cheong, Yi-Min Wang, Chia-Wei Sun
Summary: The study utilized fNIRS to measure brain hemodynamics in individuals with different types of migraines, indicating that this technology combined with machine learning can be used for migraine classification.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
SuJin Bak, Yunjoo Jeong, Minsun Yeu, Jichai Jeong
Summary: With the increasing rate of COVID-19 vaccination, there is a growing demand for overseas travel. Previous studies have shown that duty-free shopping increases impulse buying behavior. This study proposes a brain signal processing methodology based on Brain-Computer Interface (BCI) to detect impulse buying behavior and provides potential biomarker evidence using functional near-infrared spectroscopy (fNIRS).
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Likai Wang, Fei Gao, Yongli Dai, Zhan Wang, Feng Liang, Jingyi Wu, Mengchun Wang, Litong Wang
Summary: This study aims to investigate the influence of taVNS on cortical responses in stroke patients with left or right hemiparesis and its potential impact on upper limb rehabilitation. They used fNIRS to examine patterns of cerebral activation in stroke patients during a block transfer task. The results showed that taVNS significantly increased cerebral activation, particularly in the left motor cortical network, without affecting cerebral lateralization.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Noam Somech, Tamar Mizrahi, Yael Caspi, Vadim Axelrod
Summary: Naturalistic stimulation is an effective approach in laboratory experiments. The combination of functional near-infrared spectroscopy (fNIRS) and intersubject correlation (ISC) analysis allows for the exploration of cognitive processing and suggests a potential role of the prefrontal cortex in humor appreciation.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Yu Wen Koo, David L. Neumann, Tamara Ownsworth, Michael K. Yeung, David H. K. Shum
Summary: This study investigated the neural correlates of prospective memory (PM) using functional near-infrared spectroscopy (fNIRS). The results showed that reaction time was significantly slower in the WM plus PM task compared to the WM task, while ongoing task accuracies did not differ between the two conditions. fNIRS results revealed higher levels of neural activity in the fronto-polar prefrontal cortex and dorsolateral prefrontal cortex during the WM plus PM task.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Neurosciences
Mengchai Mao, Guifang Chen, Kun Feng, Dongsheng Xu, Xuyun Hua, Chunlei Shan, Pozi Liu
Summary: This study used fNIRS technology to explore the neural mechanisms underlying cognitive and emotional dysfunction in patients with bipolar disorder. The results showed significant differences in prefrontal activity during emotional and cognitive processing between patients with bipolar disorder and healthy controls, which may serve as a potential biomarker for clinical assessment.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Nadia Polskaia, Gabrielle St-Amant, Sarah Fraser, Yves Lajoie
Summary: Our previous study did not find the same decrease in activity in the left DLPFC associated with movement automaticity. Therefore, we expanded our research to further understand the contribution of the PFC to motor sequence learning. The results suggest that explicit motor sequence learning requires the continued involvement of the PFC, despite additional practice time.
BRAIN AND COGNITION
(2023)
Article
Behavioral Sciences
Ranjana K. Mehta, Joseph Nuamah
Summary: This study aimed to explore the relationship between acute physical fatigue and cognitive function during orthostatic challenge. The results showed that cognitive tasks during orthostatic challenge increased cerebral oxygenation, but oxygenation significantly decreased under acute fatigue conditions, especially in males. Different task performances were comparable, but mental arithmetic was more effective than psychomotor tracking.
Article
Robotics
S. K. Hopko, Riya Khurana, Ranjana K. Mehta, Prabhakar R. Pagilla
Summary: Advancements in robot technology enable increased integration of humans and robots in shared manufacturing processes. Higher levels of robotic assistance lead to direct task performance benefits, but the interplay of human factors like operator sex and cognitive states with robotics impacts collaborative performance. Understanding this interaction can inform improved human-robot collaborative system designs.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Engineering, Industrial
Yangming Shi, John Kang, Pengxiang Xia, Oshin Tyagi, Ranjana K. Mehta, Jing Du
Summary: Firefighters often need to process complex spatial information quickly for search and rescue missions. Previous studies have shown that route and survey spatial information are more efficient in helping firefighters memorize layouts and improve wayfinding performance.
Article
Computer Science, Artificial Intelligence
Rohith Karthikeyan, Anthony D. Mcdonald, Ranjana K. Mehta
Summary: The effects of cognitive stress are complex and multi-dimensional, affecting neural and physiological systems throughout our lifespan. This study explores the relevance of age, sex, and motor activity in stress detection, using brain hemodynamics and heart rate variability as biomarkers. The findings show that machine learning can accurately detect stress, but the models are sensitive to sex and activity differences.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Ranjana K. Mehta, Jason Moats, Rohith Karthikeyan, Joseph L. Gabbard, Divya Srinivasan, Eric Jing Du, Alexander Leonessa, Garret Burks, Andrew Stephenson, Ron Fernandes
Summary: This article discusses the application of human augmentation technologies in emergency response work and proposes a framework for AI-assisted training. It also highlights the need for new emergency response learning environments.
Article
Engineering, Industrial
Oshin Tyagi, Ranjana K. Mehta
Summary: This study found that social stress affects motor performance among older adults, particularly with men showing this impact and a reduction in functional connectivity between the frontal and motor brain regions. While both sexes exhibited significant causal information flow between the brain regions, older women demonstrated bidirectional effective connectivity between the frontal-motor areas after stress.
APPLIED ERGONOMICS
(2022)
Article
Behavioral Sciences
Rohith Karthikeyan, Joshua Carrizales, Connor Johnson, Ranjana K. Mehta
Summary: The study reveals a close correlation between neural activity and heart rate variability during a fatiguing visuospatial working memory task, indicating that HR/HRV can reflect changes in the prefrontal cortex network responsible for working memory.
Article
Behavioral Sciences
Sarah K. Hopko, Ranjana K. Mehta
Summary: This study examines the neural responses to trust in a human-robot collaboration task and identifies the prefrontal cortex and specific connectivity patterns as indicators of distrust. Neuroergonomic response metrics provide new perspectives on trust in automation.
Article
Computer Science, Interdisciplinary Applications
Yangming Shi, Connor Johnson, Pengxiang Xia, John Kang, Oshin Tyagi, Ranjana K. Mehta, Jing Du
Summary: Disorientation is a leading cause of firefighter injuries and fatalities. This study examined the impact of different types of spatial information on firefighters' spatial memory development and found that route or survey information had a positive effect on task performance, while landmark and map information had a negative effect.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2022)
Article
Engineering, Industrial
Sarah K. Hopko, Ranjana K. Mehta, Prabhakar R. Pagilla
Summary: This study examines the effects of operator cognitive fatigue, robot reliability, and operator sex on trust symptoms in collaborative robots. The results highlight the importance of robot reliability and operator states in influencing trust.
APPLIED ERGONOMICS
(2023)
Article
Behavioral Sciences
Oshin Tyagi, Ranjana K. K. Mehta
Summary: This study used neuroergonomics approach to investigate the supraspinal mechanisms of fatigue in older adults and examined sex differences in these mechanisms. While there were no significant differences in fatigue outcomes between older males and females, males showed higher interregional connectivity in the brain during fatigue. These findings provide insights into the capabilities and adaptation strategies of older men and women under fatiguing conditions, facilitating the development of targeted ergonomic strategies.
Article
Engineering, Industrial
Oshin Tyagi, Tiash Rana Mukherjee, Ranjana K. Mehta
Summary: This study investigated the neurophysiological, muscular, and perceptual adaptations to shoulder exoskeleton use during overhead work with competing physical-cognitive demands. The results showed that the EMG activity of shoulder muscles was lower in the exoskeleton group, especially for females during the dual task. The physiological benefits of exoskeletons were reduced when performing dual tasks, and the neuromotor strategies to adapt to dual task demands varied between the groups. The perceptual, physiological, and neural adaptations with exoskeleton use were task- and sex-specific.
APPLIED ERGONOMICS
(2023)
Article
Computer Science, Cybernetics
Shantanu Vyas, Shivangi Dwivedi, Lindsey J. Brenner, Isabella Pedron, Joseph L. Gabbard, Vinayak R. Krishnamurthy, Ranjana K. Mehta
Summary: Augmented Reality (AR) training is a cost-effective and safe alternative for traditional instructional methods. A study was conducted to develop a metric to evaluate user performance in basic mid-air AR interactions and predict additional training requirements, using a neuroergonomics approach. The effectiveness of the models was showcased in the study and the potential of integrating neuroergonomics for advanced AR-based training applications was discussed.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Engineering, Industrial
John Kang, Stephanie C. Payne, Farzan Sasangohar, Ranjana K. Mehta
Summary: This exploratory longitudinal field study aimed to examine the changes in subjective, performance-based, and physiological fatigue measures over time across different shift types in offshore environments. The findings revealed that workers' performances on the psychomotor vigilance test deteriorated over time across all shift types. The study also found correlations between different multimodal fatigue measures.
APPLIED ERGONOMICS
(2024)
Proceedings Paper
Computer Science, Artificial Intelligence
Linda Molnar, Ranjana K. Mehta, Robby Robson
Summary: This article presents the background, vision, and importance of Skills-based Talent Ecosystem for Upskilling (STEP UP) project, and explains the collaboration and technological support to achieve the goal of increasing equity and efficiency in the US talent pipeline.
ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II
(2022)