Results 21 to 30 of about 18,210 (220)

Prefrontal cortex activation upon a demanding virtual hand-controlled task: A new frontier for neuroergonomics [PDF]

, 2016
open9noFunctional near-infrared spectroscopy (fNIRS) is a non-invasive vascular-based functional neuroimaging technology that can assess, simultaneously from multiple cortical areas, concentration changes in oxygenated-deoxygenated hemoglobin at the ...
Andrea ePetracca, Giuseppe ePlacidi, Marco eFerrari, Marika eCarrieri, Matteo eSpezialetti, Sabrina eBrigadoi, Sara eBasso Moro, Stefania eLancia, Valentina eQuaresima   +8 more
core   +6 more sources

Contribution of speckle noise in near-infrared spectroscopy measurements [PDF]

, 2019
Near-infrared spectroscopy (NIRS) is widely used in biomedical optics with applications ranging from basic science, such as in functional neuroimaging, to clinical, as in pulse oximetry.
Boas, David A., Cheng, Xiaojun, Li, Xinge, Ortega-Martinez, Antonio, Yucel, Meryem Ayşe, Zimmermann, Bernhard   +5 more
core   +1 more source

Mental workload classification using convolutional neural networks based on fNIRS-derived prefrontal activity

BMC Neurology, 2023
Background Functional near-infrared spectroscopy (fNIRS) is a tool to assess brain activity during cognitive testing. Despite its usefulness, its feasibility in assessing mental workload remains unclear. This study was to investigate the potential use of
Jin-Hyuck Park
doaj   +1 more source

A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking

Sensors, 2021
Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that allows to monitor the functional hemoglobin oscillations related to cortical activity.
David Perpetuini, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli, Arcangelo Merla   +4 more
doaj   +1 more source

Use of functional near-infrared spectroscopy to evaluate cognitive change when using healthcare simulation tools [PDF]

, 2019
This is an accepted manuscript of an article published by BMJ on 01/11/2020, available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936993/ The accepted version of the publication may differ from the final published version.Background The use ...
Bollard, Martin, Kneafsey, Rosie, Taylor, Natasha, Wyres, Martyn   +3 more
core   +2 more sources

Emotional modulation of visual cortex activity: A functional nearinfrared spectroscopy study [PDF]

, 2009
Functional neuroimaging and electroencephalography reveal emotional effects in early visual cortex. Here, we used fNIRS to examine haemodynamic responses evoked by neutral, positive and negative emotional pictures, matched for brightness, contrast, hue,
Gray, Marcus A., Jones, Catherine L., Medford, Nick, Minati, Ludovico   +3 more
core   +2 more sources

Measurement of Brain Function of Car Driver Using Functional Near‐Infrared Spectroscopy (fNIRS) [PDF]

Computational Intelligence and Neuroscience, 2009
The aim of this study is to propose a method for analyzing measured signal obtained from functional Near‐Infrared Spectroscopy (fNIRS), which is applicable for neuroimaging studies for car drivers. We developed a signal processing method by multiresolution analysis (MRA) based on discrete wavelet transform.
Tsunashima, Hitoshi, Yanagisawa, Kazuki
openaire   +2 more sources

Real-Time State Estimation in a Flight Simulator Using fNIRS [PDF]

, 2015
Working memory is a key executive function for flying an aircraft. This function is particularly critical when pilots have to recall series of air traffic control instructions. However, working memory limitations may jeopardize flight safety.
Dehais, Frédéric, Durantin, Gautier, Gateau, Thibault, Lancelot, François, Scannella, Sébastien   +4 more
core   +6 more sources

Measuring Cerebral Activation From fNIRS Signals: An Approach Based on Compressive Sensing and Taylor-Fourier Model [PDF]

, 2016
Functional near-infrared spectroscopy (fNIRS) is a noninvasive and portable neuroimaging technique that uses NIR light to monitor cerebral activity by the so-called haemodynamic responses (HRs).
Brigadoi, Sabrina, Frigo, Guglielmo, Giorgi, Giada, Narduzzi, Claudio, Sparacino, Giovanni   +4 more
core   +1 more source

Age-related changes in global motion coherence: conflicting haemodynamic and perceptual responses [PDF]

, 2018
Our aim was to use both behavioural and neuroimaging data to identify indicators of perceptual decline in motion processing. We employed a global motion coherence task and functional Near Infrared Spectroscopy (fNIRS). Healthy adults (n = 72, 18-85) were
A Arena, A Brodtmann, A Villringer, AJ Simmers, B Händel, B Rosengarten, B Sun, B Zalar, B Zimmerman, CK Tamnes, CL Grady, CM Stoppel, CR Pernet, CV Hutchinson, CV Hutchinson, DB Tran, DC Park, DD Garrett, E Maggioni, E O’Connor, E Roudaia, EG Conlon, EG Conlon, ER Sowell, FA Sorond, G Gratton, G Jasdzewski, G Maehara, G Porter, G Rees, GA Rousselet, GB Remijn, GC Gilmore, GL Trick, H Jasper, H Kojima, H Nakamura, HA Allen, HC Agnew, J Billino, J Carp, J Grinband, JD Bower, JF Norman, JH Meek, K Ball, KM Rodrigue, KS Pilz, KS Pilz, L Koessler, L Tang, L-C Chen, LG-G Bogfjellmo, LM Ward, M Kuba, MA McIntosh, MJ Herrmann, ML Schroeter, MM Bieniek, MW Voss, N Bocheva, N Raz, N Raz, OJ Braddick, P Atchley, PA Reuter-Lorenz, PJ Bennett, PJ Knox, R Gatto, R Jurca, R Wojciechowski, RB Tootell, RB Tootell, RF Helfrich, RJ Snowden, S Ajina, S Fantini, S Gilaie-Dotan, S Koyama, S Narasimhan, S Peca, S Sunaert, S Wijeakumar, S Wijeakumar, SC Biehl, SN Thiyagesh, T Hashimoto, T Näsi, TC Emmerling, TJ Huppert, V Kavcic, V Toronov, WNJM Colier, Y Kamitani   +93 more
core   +4 more sources