Results 161 to 170 of about 579,587 (260)

From Complexity to Simplicity: Using Python Instead of PsychoPy for fNIRS Data Collection [PDF]

arXiv
Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical technique that measures brain activity by estimating blood oxygenation using near-infrared light. Traditionally, PsychoPy is used in many studies to send task-specific markers, requiring a separate device to interface with the fNIRS data collection system.
arxiv  

Using simultaneous repetitive Transcranial Magnetic Stimulation/functional Near Infrared Spectroscopy (rTMS/fNIRS) to measure brain activation and connectivity [PDF]

, 2009
F. Andrew Kozel, Fenghua Tian, Sameer C. Dhamne, Paul E. Croarkin, Shawn M. McClintock, Alan Elliott, Kimberly S. Mapes, Mustafa M. Husain, Hanli Liu   +8 more
openalex   +1 more source

Functional Near-Infrared Spectroscopy in neurodegenerative disease: a review

Frontiers in Neuroscience
In recent years, with the aggravation of aging, the incidence of neurodegenerative diseases is increasing year by year, and the prognosis of patients is poor. Functional Near-Infrared Spectroscopy (fNIRS) is a new and non-invasive neuroimaging technology,
Lei Xie, Yong Liu, Yuling Gao, Jiaqi Zhou   +3 more
doaj   +1 more source

Unfolding the real-time neural mechanisms in addiction: Functional near-infrared spectroscopy (fNIRS) as a resourceful tool for research and clinical practice

Addiction Neuroscience, 2022
Neural underpinnings of addiction have been widely investigated using traditional neuroimaging techniques and paradigms. However, certain mechanisms are still underexplored, and existing studies often do not adopt an ecological assessment.
Alessandro Carollo, Ilaria Cataldo, Seraphina Fong, Ornella Corazza, Gianluca Esposito   +4 more
doaj  

Functional neuroimaging as a tool to supplement cognitive, affective and social functioning assessment and psychotherapy

Journal of Mental Health and Human Behaviour, 2017
The most critical need in the field of clinical psychology is unifying the firmly grounded theoretical principles with the real-time clinical practice and modern day neuroimaging advances.
Apoorva Malik, Kanwal Preet Kochhar, Rajesh Sagar, Ashlesh Patil   +3 more
doaj   +1 more source

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs [PDF]

arXiv
Hybrid motor imagery brain-computer interfaces (MI-BCIs), which integrate both electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals, outperform those based solely on EEG. However, simultaneously recording EEG and fNIRS signals is highly challenging due to the difficulty of colocating both types of sensors on the same ...
arxiv  

Quality analysis of heart rate derived from functional near-infrared spectroscopy in stress assessment

Informatics in Medicine Unlocked, 2020
Background: Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive technique for studying brain hemodynamics. Since brain hemodynamics also involves components from the heart rate (HR), it is possible to extract the HR signal from the fNIRS (EHR)
Mahya Mirbagheri, Naser Hakimi, Elias Ebrahimzadeh, S. Kamaledin Setarehdan   +3 more
doaj  

MECASA: Motor Execution Classification using Additive Self-Attention for Hybrid EEG-fNIRS Data [PDF]

arXiv
Motor execution, a fundamental aspect of human behavior, has been extensively studied using BCI technologies. EEG and fNIRS have been utilized to provide valuable insights, but their individual limitations have hindered performance. This study investigates the effectiveness of fusing electroencephalography (EEG) and functional near-infrared ...
arxiv  

Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals [PDF]

arXiv, 2018
Currently there is no validated objective measure of pain. Recent neuroimaging studies have explored the feasibility of using functional near-infrared spectroscopy (fNIRS) to measure alterations in brain function in evoked and ongoing pain. In this study, we applied multi-task machine learning methods to derive a practical algorithm for pain detection ...
arxiv  

A Scoping Review of Functional Near-Infrared Spectroscopy (fNIRS) Applications in Game-Based Learning Environments [PDF]

arXiv
This scoping review analyzes the use of Functional Near-Infrared Spectroscopy (fNIRS) in game-based learning (GBL) settings, providing a thorough examination of contemporary trends and approaches.Employing the PRISMA framework, an initial collection of 956 articles was methodically screened, resulting in 18 research papers that satisfied the inclusion ...
arxiv