Results 61 to 70 of about 9,250 (208)

Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder

EBioMedicine, 2020
Background: Functional near infrared spectroscopy (fNIRS) provides a direct and quantitative assessment of cortical haemodynamic function during a cognitive task.
Syeda F. Husain, Tong-Boon Tang, Rongjun Yu, Wilson W. Tam, Bach Tran, Travis T. Quek, Shi-Hui Hwang, Cheryl W. Chang, Cyrus S. Ho, Roger C. Ho   +9 more
doaj   +1 more source

Neural correlates of spontaneous deception: A functional near-infrared spectroscopy (fNIRS)study [PDF]

Neuropsychologia, 2013
Deception is commonly seen in everyday social interactions. However, most of the knowledge about the underlying neural mechanism of deception comes from studies where participants were instructed when and how to lie. To study spontaneous deception, we designed a guessing game modeled after Greene and Paxton (2009) "Proceedings of the National Academy ...
Xiao Pan Ding, Xiaoqing Gao, Genyue Fu, Kang Lee   +3 more
openalex   +4 more sources

Functional near infrared spectroscopy (fNIRS) to assess cognitive function in infants in rural Africa. [PDF]

Scientific Reports, 2014
AbstractCortical mapping of cognitive function during infancy is poorly understood in low-income countries due to the lack of transportable neuroimaging methods. We have successfully piloted functional near infrared spectroscopy (fNIRS) as a neuroimaging tool in rural Gambia.
Lloyd-Fox, Sarah, Papademetriou, M, Darboe, M K, Everdell, N L, Wegmuller, R, Prentice, A M, Moore, S E, Elwell, C E   +7 more
openaire   +4 more sources

System Derived Spatial-Temporal CNN for High-Density fNIRS BCI

IEEE Open Journal of Engineering in Medicine and Biology, 2023
An intuitive and generalisable approach to spatial-temporal feature extraction for high-density (HD) functional Near-Infrared Spectroscopy (fNIRS) brain-computer interface (BCI) is proposed, demonstrated here using Frequency-Domain (FD) fNIRS for motor ...
Robin Dale, Thomas D. O'sullivan, Scott Howard, Felipe Orihuela-Espina, Hamid Dehghani   +4 more
doaj   +1 more source

Human Discrimination and Categorization of Emotions in Voices: A Functional Near-Infrared Spectroscopy (fNIRS) Study. [PDF]

Front Neurosci, 2020
AbstractVariations of the vocal tone of the voice during speech production, known as prosody, provide information about the emotional state of the speaker. In recent years, functional imaging has suggested a role of both right and left inferior frontal cortices in attentive decoding and cognitive evaluation of emotional cues in human vocalizations ...
Gruber T, Debracque C, Ceravolo L, Igloi K, Marin Bosch B, Frühholz S, Grandjean D.   +6 more
europepmc   +7 more sources

Neurofeedback for Binge‐Eating Disorder: Neurophysiological Outcome Predictors and Rapid Response

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Pioneer studies suggested the effectiveness of food‐specific electroencephalography (EEG) and real‐time functional near‐infrared spectroscopy (rtfNIRS) neurofeedback (NF) trainings in the treatment of binge‐eating disorder (BED). These trainings aim to improve participants' neurophysiological self‐regulation.
Ben Schreglmann, Ricarda Schmidt, Michael Lührs, Anja Hilbert   +3 more
wiley   +1 more source

Preoperative Imaging for Cochlear Implantation: A Global Consensus

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Preoperative imaging is vital for cochlear implant surgeries, aiding diagnosis, and surgical planning. This study evaluated global practices and the value of preoperative imaging through an international survey. Methods A cross‐sectional survey was conducted among international cochlear implantation experts using a 112‐item ...
Farid Alzhrani, Asma Alahmadi, Afrah Alshalan, Yassin Abdelsamad, Abdulrahman Alsanosi, Aanand Acharya, Ana H. Kim, Angel Ramos Macias, Bruce Gantz, Craig Buchman, Dan Jiang, Domenico Cuda, Dovile Jankunaite, Georg Sprinzl, Heidi Olze, Ilona Anderson, Ibrahim Shami, James E. Saunders, Javier Gavilan, Walter Kutz, Kevin D. Brown, Kristen Rak, Laila Telmesani, Luis Lassaletta, Manohar Bance, Marco Caversaccio, Mohan Kameswaran, Mario Zernotti, Nicolas Verhaert, Oliver Adunka, Patrick F. Connolly, Paul Van de Heyning, Per Caye‐Thomasen, Piotr Skarzynski, Robert Briggs, Rudolf Hagen, Sherif Khalil, Soha N. Ghossaini, Stefan K. Plontke, Stephen J. O'Leary, Sumit K. Agrawal, Tatsuya Yamasoba, Thomas Lenarz, Timo Stöver, Vedat Topsakal, Vincent Van Rompaey, Abdulrahman Hagr   +46 more
wiley   +1 more source

Applying Functional Near Infrared (fNIR) Spectroscopy to Enhance MIS Research

AIS Transactions on Human-Computer Interaction, 2014
This review paper introduces the emerging technology of optical brain imaging, also known as functional near infrared (fNIR) spectroscopy, and discusses its potential role in enhancing theory and methodology used in MIS research. We discuss basic fNIR principles including the technique’s safe and portable nature, which allows ambulatory brain activity ...
David Gefen, Hasan Ayaz, Banu Onaral
openaire   +2 more sources

A MATLAB-based tool for converting fNIRS time-series data to Homer3-compatible formats

Neuroscience Informatics
Functional Near-Infrared Spectroscopy (fNIRS) is increasingly used in cognitive neuroscience and clinical research, yet preprocessing raw time-series data remains challenging.
Chao Wang, Xiaojun Cheng, Shichao Liu
doaj   +1 more source

A Mini-Review on Functional Near-Infrared Spectroscopy (fNIRS): Where Do We Stand, and Where Should We Go?

Photonics, 2019
This mini-review is aimed at briefly summarizing the present status of functional near-infrared spectroscopy (fNIRS) and predicting where the technique should go in the next decade.
Valentina Quaresima, Marco Ferrari
doaj   +1 more source