Article
Multidisciplinary Sciences
Xiaoxue Fu, John E. Richards
Summary: The study utilized photon propagation simulation methods to investigate the sensitivity profiles of diffuse optical tomography in realistic head models across different age groups. It found that the sensitivity profiles varied with different source-detector separation distances.
Article
Biochemical Research Methods
Yi-Hua Huang, Wei-Yu Chen, Yao-Hong Liu, Ting-Ying Li, Ching-Po Lin, Pou-Leng Cheong, Yi-Min Wang, Jiann-Shing Jeng, Chia-Wei Sun, Chau-Chung Wu
Summary: This study explores the potential of using fNIRS and the WCST to detect MCI patients. The results show that individuals with lower cognitive scores have greater changes in blood oxygenation during the WCST. This noninvasive approach combined with cognitive assessments may effectively detect MCI, offering hope for proactive dementia prevention.
JOURNAL OF BIOPHOTONICS
(2023)
Review
Chemistry, Analytical
Kogulan Paulmurugan, Vimalan Vijayaragavan, Sayantan Ghosh, Parasuraman Padmanabhan, Balazs Gulyas
Summary: fNIRS is a wearable optical spectroscopy system used to monitor brain function by measuring blood oxygen concentration, and recent advancements in brain-computer interfacing have enabled control of neuron function. This technology has potential for further applications.
Article
Geriatrics & Gerontology
Ilju Lee, Dohyun Kim, Sehwan Kim, Hee Jung Kim, Un Sun Chung, Jung Jae Lee
Summary: Mild cognitive impairment (MCI) is an intermediate stage of normal cognitive decline and there is increasing interest in non-pharmacological interventions for MCI. In this preliminary study, neurofeedback was applied during cognitive training to enhance working memory in MCI patients. The results suggest that this approach can significantly improve working memory in MCI patients.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Qi Zhu, Yangming Shi, Jing Du
Summary: With the rapid development of building information technologies, wayfinding information has become more accessible, leading to the emergence of cognitive load related to processing such information. This paper tested a functional near-infrared spectroscopy (fNIRS)-based method to monitor and classify cognitive loads during wayfinding information processing, showing satisfactory performance in classifying load changes driven by task difficulty levels. Personalized models were found to be necessary for accurate classification based on the neuroimaging data.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2021)
Article
Horticulture
James E. Larson, Penelope Perkins-Veazie, Guoying Ma, Thomas M. Kon
Summary: Carbohydrates are crucial for apple fruit growth and development. However, current methods to measure fruit carbohydrates are time-consuming and expensive. This study evaluated the use of near infrared spectroscopy (NIR) to predict apple carbohydrate content throughout changes in fruit development. The results showed that NIR models reliably predicted the content of various carbohydrates in apples and offered an efficient alternative to liquid or gas chromatography.
Review
Biochemistry & Molecular Biology
Charlotte Delrue, Sander De Bruyne, Marijn M. Speeckaert
Summary: Traditional renal biomarkers are insensitive for early detection of kidney disease. Infrared spectroscopy offers a label-free and non-destructive method for quick and inexpensive diagnosis of kidney disorders. This review provides an overview of the applications of near- and mid-infrared spectroscopy in patients with acute kidney injury and chronic kidney disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Chemistry, Analytical
Maria Roldan, Panayiotis A. Kyriacou
Summary: Traumatic brain injury (TBI) occurs when sudden trauma causes damage to the brain, with secondary injuries potentially affecting cerebral oxygenation and autoregulation. Near-infrared spectroscopy (NIRS) is a potential noninvasive monitoring technique for assessing TBI early, based on chromophore absorption of infrared light.
Article
Neurosciences
Rihui Li, Hadi Hosseini, Manish Saggar, Stephanie Christina Balters, Allan L. Reiss
Summary: Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique used to assess human brain activity. It has been widely used in psychiatric research and clinical practice due to its mobility, low cost, and tolerance for motion. This article summarizes the applications of fNIRS in psychiatry, the development of fNIRS instruments, and new study designs to explore brain activity associated with psychiatric disorders. The challenges and future perspectives of fNIRS in psychiatric research and clinical practice are also discussed.
Review
Neurosciences
Rachel Thomas, Samuel S. Shin, Ramani Balu
Summary: Acute brain injuries can lead to neurological worsening, further brain injury, and poor outcomes. Near-infrared spectroscopy (NIRS) shows potential as a bedside tool to monitor cerebrovascular physiology in critically ill patients with acute brain injury. NIRS can identify new brain injuries, measure intracranial pressure and cerebral autoregulation, and determine optimal blood pressure targets.
Article
Engineering, Electrical & Electronic
Fawen Xie, Shuangyuan Huang, Tianchao Miao, Shiman He, Zeyu Lin, Longhan Xie
Summary: Near-infrared spectroscopy (NIRS) technology is a noninvasive tool that detects changes in hemoglobin concentration in human tissues through optical signals, allowing for the determination of muscle activation states. A multichannel NIRS system is essential for motion recognition, and the wireless communication and equipped upper computer system improve real-time monitoring and accuracy. The analysis of NIRS signals using common mode and difference mode shows superior performance.
IEEE SENSORS JOURNAL
(2022)
Article
Construction & Building Technology
Xiaoshan Zhou, Yinan Hu, Pin-Chao Liao, Dan Zhang
Summary: This study identified distinct neural activity patterns in the prefrontal cortex for different hazard recognitions, with the left PFC being more engaged in hazard recognition. The results suggest that these critical areas could serve as a neuropsychological basis for cognition and demonstrate the potential of NIRS-based BCIs for hazard inspections.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Neurosciences
Frank A. Greco, Ann C. McKee, Neil W. Kowall, Eugene B. Hanlon
Summary: The study aimed to determine whether NIR spectroscopy can distinguish Alzheimer's disease patients from controls in clinical applications and show the potential of NIR as a clinical screen and monitor of therapeutic efficacy. The results indicate that two regions around 860 and 895 nm can completely separate AD patients from controls and differentiate MCI subjects according to the degree of impairment.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Public, Environmental & Occupational Health
Cheng Peng, Ziyi Wang
Summary: Most clinical stroke patients face difficulties in movement, affecting their self-care ability and quality of life, as well as disrupting the lives and work of family members. The near-infrared spectroscopy imaging technology (fNIRS) combines sports injury diagnosis with brain function mechanisms, offering fast and non-invasive detection of brain activity. fNIRS technology has proven valuable in the biomedical field, particularly in brain science, and can be used to detect hemodynamic changes during training, providing a basis for clinical application.
PREVENTIVE MEDICINE
(2023)
Article
Agriculture, Dairy & Animal Science
Jose Ignacio Amorena, Dolores Maria Eugenia Alvarez, Elvira Fernandez-Ahumada
Summary: Llama fibre production in the Puna region of Argentina has significant potential, but quality analysis systems are still inadequate. This study evaluated the feasibility of using near infrared reflectance spectroscopy to assess fibre diameter, showing promising results as a sustainable, fast and low-cost method for quality validation.
Article
Endocrinology & Metabolism
Brandi Y. Rollins, Nathaniel R. Riggs, Lori A. Francis, Clancy B. Blair
Summary: The study identified different developmental trajectories of executive function and obesity among poor rural youth, with most youth showing higher EF and some degree of obesity resilience. However, those with EF deficits were at greater risk for severe obesity, with differences in BMI trajectories and obesity risk profiles.
Article
Public, Environmental & Occupational Health
Lisa M. Gatzke-Kopp, Siri Warkentien, Michael Willoughby, Chris Fowler, David C. Folch, Clancy Blair
Summary: Despite reductions in airborne lead from gasoline, various industries still release lead into the air. This study found that children living close to documented sources of airborne lead showed small negative effects on cognitive development, indicating a meaningful association between lead exposure and cognitive deficits.
Article
Psychology, Developmental
Sarah C. Vogel, Rosemarie E. Perry, Annie Brandes-Aitken, Stephen Braren, Clancy Blair
Summary: The study focuses on dimensions of childhood adversity using the Dimensional Model of Adversity and Psychopathology (DMAP), finding links between deprivation and threat with cognitive development in children. In a poverty context, lower socioeconomic status is related to higher deprivation and threat, with deprivation fully mediating the association between SES and executive functions. This study expands previous research using DMAP and highlights new directions in understanding children's cognitive adaptations to adversity.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2021)
Article
Endocrinology & Metabolism
Hedyeh Ahmadi, Douglas A. Granger, Katrina R. Hamilton, Clancy Blair, Jenna L. Riis
Summary: The study compared statistical estimates generated via conventional and specialized censored data approaches using salivary C-reactive protein data and found that while findings were similar, the specialized methods were more efficient and appropriate.
PSYCHONEUROENDOCRINOLOGY
(2021)
Article
Endocrinology & Metabolism
Jenna L. Riis, Hedyeh Ahmadi, Katrina R. Hamilton, Crystal Bryce, Clancy Blair, Douglas A. Granger
Summary: The study suggests that due to improvements in salivary assay precision, laboratory-based measurement error in salivary analyte data is very minimal compared to variability in analyte levels across biological replicates. The repeatability intra-class correlation (rICC) is recommended as an additional index of salivary analyte data precision for more accurate quantification of laboratory-based measurement error.
PSYCHONEUROENDOCRINOLOGY
(2021)
Article
Psychology, Developmental
Andrew Ribner, Rory T. Devine, Clancy Blair, Claire Hughes
Summary: There are multiple influences on the development of children's executive function, and individual differences can be observed as early as 1 and 2 years of age. These differences are moderately stable during early childhood, and more research is needed to understand their origins. The correlations between executive function of mothers and children have been studied, but little is known about these associations before preschool age, and the role of fathers' executive function has not been considered. In this study involving 484 families from three countries, it was found that both mothers' and fathers' executive function play a role in the development of children's executive function from 14 to 24 months. Parenting practices, specifically sensitivity and autonomy support, mediate the relationships between parents' and children's executive function.
DEVELOPMENTAL SCIENCE
(2022)
Article
Psychology, Educational
Tyler W. Watts, Tutrang Nguyen, Robert C. Carr, Lynne Vernon-Feagans, Clancy Blair
Summary: The study found that changes in classroom quality generally had small and statistically insignificant effects on student achievement and behavior. However, moving into a high-quality classroom, especially those rated as highly organized, had positive effects on achievement and behavior for children who experienced significant exposure to poverty in early life.
Article
Psychology, Educational
Meriah L. DeJoseph, Robin D. Sifre, C. Cybele Raver, Clancy B. Blair, Daniel Berry
Summary: This study identifies multiple dimensions of poverty-related adversity and resources, finding distinct factors beyond income that impact child outcomes. By establishing invariant environmental measures across different groups and time periods, it highlights the importance of ensuring socioculturally valid measurements of poverty.
Article
Education & Educational Research
Stephen H. Braren, Annie Brandes-Aitken, Rosemarie E. Perry, Kevon Williams, Krystalle Lyons, Sashana Rowe-Harriott, Clancy Blair
Summary: The study revealed interactions between baseline hypothalamic-pituitary-adrenal (HPA) axis and parasympathetic nervous system (PNS) activity in 48-month-old children, impacting their executive functions. The findings suggest a potential compensatory relationship between PNS and HPA axis in supporting cognition.
MIND BRAIN AND EDUCATION
(2021)
Article
Psychology, Developmental
Marie Camerota, Michael T. Willoughby, Clancy B. Blair
DEVELOPMENTAL PSYCHOLOGY
(2020)
Article
Psychology, Developmental
Annie Brandes-Aitken, Stephen Braren, Jill Gandhi, Rosemarie E. Perry, Sashana Rowe-Harriott, Clancy Blair
DEVELOPMENTAL PSYCHOLOGY
(2020)
Article
Psychology, Developmental
Michael T. Willoughby, Jason Williams, W. Roger Mills-Koonce, Clancy B. Blair
DEVELOPMENT AND PSYCHOPATHOLOGY
(2020)
Article
Psychology, Developmental
Claire Hughes, Rory T. Devine, Judi Mesman, Clancy Blair
DEVELOPMENT AND PSYCHOPATHOLOGY
(2020)
Article
Psychology, Developmental
Claire Hughes, Rory T. Devine, Judi Mesman, Clancy Blair
DEVELOPMENTAL SCIENCE
(2020)
Article
Education & Educational Research
Margaret Burchinal, Tiffany Jamie Foster, Kylie Garber Bezdek, Mary Bratsch-Hines, Clancy Blair, Lynne Vernon-Feagans, Lynne Vernon Feagans, Martha Cox, Peg Burchinal, Linda Burton, Keith Crnic, Ann Crouter, Patricia Garrett-Peters, Mark Greenberg, Stephanie Lanza, Roger Mills-Koonce, Emily Werner, Michael Willoughby
EARLY CHILDHOOD RESEARCH QUARTERLY
(2020)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.
