Results 91 to 100 of about 21,426 (171)
Xue Deng,1,2 Naifu Jiang,3 Zhaoying Huang,4 Qi Wang5 1Department of Rehabilitation Medicine, The 8th Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong Province, People’s Republic of China; 2Division of Occupational Therapy, Decker ...
Deng X, Jiang N, Huang Z, Wang Q
doaj
Occlusal Dysesthesia: Identifying Knowledge Gaps to Advance Clinical Care
This scoping review highlights major knowledge gaps in the understanding of occlusal dysesthesia, including limited evidence on sensory, psychological and neurobiological mechanisms. Current theories remain largely unverified, underscoring the need for integrated biopsychosocial research to improve diagnosis and patient care.
Sara A. Esmat, Helen He, Iacopo Cioffi
wiley +1 more source
The Impact of Prenatal Language Environment on Newborns: A Meta-Analysis of fNIRS Studies [PDF]
openThis meta-analysis synthesizes findings from functional Near-Infrared Spectroscopy (fNIRS) studies on neonates to investigate the neural mechanisms underlying language acquisition.
SWEATMAN, JESSICA AUDREY
core
It contains raw fNIRS dataset along with csvfiles of ...
Lora Cavuoto (4358752) +10 more
core +1 more source
Functional near infrared spectroscopy (fNIRS) is a noninvasive, safe and portable optical neuroimaging method that can be used to assess brain dynamics during skill acquisition and performance of complex work and everyday tasks. In this paper we describe
Hasan eAyaz +6 more
doaj +1 more source
Comparison of optical and concentration feature used for fNIRS-based BCI system using HMM
Brain-Computer Interface (BCI) is very useful for people who lose limb control such as amyotrophic lateral sclerosis (ALS) patients, stroke patients and patients with prosthetic limbs.
Miao L(缪磊) +6 more
core
Data from the fNIRS podcast listening experiment in CND ...
Giovanni M. Di Liberto, Jaimy Hannah
core +6 more sources
Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring
Synchronous monitoring electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) have received significant attention in brain science research for their provision of more information on neuro-loop interactions.
Boyu Li +5 more
doaj +1 more source
Time-of-Flight Resolved Diffuse Dual-Comb Reflectometry: Towards DC-fNIRS
We demonstrate dual-comb near-infrared spectroscopy (DC-fNIRS) in reflectance geometry using an electro-optic architecture with optical injection locking that requires no ultrafast detectors, no photon-counting hardware, and no sequential time scanning ...
Pedro Martín-Mateos (7835981) +3 more
core +1 more source
Research on an adaptive multimodal cognitive load classification method
Purpose: Functional near-infrared spectroscopy (fNIRS) has emerged as a prominent research tool in the fields of brain function analysis, and cognitive load classification due to its ability to objectively reflect cognitive states.
Xiangxin Yu, Ruizhen Wang
doaj +1 more source

