Results 51 to 60 of about 18,210 (219)

High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution [PDF]

, 2019
Measurements of dynamic Near Infrared (NIR) light attenuation across the human head together with model-based image reconstruction algorithms allow the recovery of three-dimensional spatial brain activation maps.
Dehghani, Hamid, Doulgerakis, Matthaios, Eggebrecht, Adam T.   +2 more
core   +2 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

A novel GLM-based method for the Automatic IDentification of functional Events (AIDE) in fNIRS data recorded in naturalistic environments. [PDF]

, 2017
Recent technological advances have allowed the development of portable functional Near-Infrared Spectroscopy (fNIRS) devices that can be used to perform neuroimaging in the real-world.
Aichelburg, C, Burgess, PW, Gilbert, S, Hamilton, A, Lind, F, Merla, A, Pinti, P, Power, S, Swingler, E, Tachtsidis, I   +9 more
core   +1 more source

Validating a new methodology for optical probe design and image registration in fNIRS studies [PDF]

, 2014
Functional near-infrared spectroscopy (fNIRS) is an imaging technique that relies on the principle of shining near-infrared light through tissue to detect changes in hemodynamic activation. An important methodological issue encountered is the creation of
Alloway, Boas, Bortfeld, Brigadoi, Bushby, Buss, Cooper, Cui, Custo, David A. Boas, Fang, Fava, Fedorov, Gagnon, Gervain, Huppert, Huppert, Jausovec, John P. Spencer, Kevin Bohache, Kovelman, Kuboyama, Laird, Laird, Lin, Sato, Sato, Selb, Singh, Sobanawartiny Wijeakumar, Steele, Taga, Turkeltaub, Van den Broeck, Vincent A. Magnotta, Whalen, Wijeakumar, Wijeakumar, Yoo   +38 more
core   +2 more sources

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

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 Systematic Review of The Potential Use of Neurofeedback in Patients with Schizophrenia. [PDF]

, 2020
Schizophrenia (SCZ) is a neurodevelopmental disorder characterized by positive symptoms (hallucinations and delusions), negative symptoms (anhedonia, social withdrawal) and marked cognitive deficits (memory, executive function, and attention).
Gandara, Veronica, Pineda, Jaime A, Shu, I-Wei, Singh, Fiza   +3 more
core  

Evaluating motion processing algorithms for use with functional near-infrared spectroscopy data from young children [PDF]

, 2018
Motion artifacts are often a significant component of the measured signal in functional near-infrared spectroscopy (fNIRS) experiments. A variety of methods have been proposed to address this issue, including principal components analysis (PCA ...
Bohache, Kevin, Delgado Reyes, Lourdes M., Spencer, John P., Wijeakumar, Sobanawartiny   +3 more
core   +2 more sources

Transforming Brain Health With Neurotechnology Convergence (Part II): Intelligent Neurointervention Systems for Neurological Disorders

Brain Health, EarlyView.
ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye, Fei Peng, Chao Pan, Ping Zhang, Xuewei Xie, Zixiao Li, Yingxin Tang, Danyang Chen, Yuanwei Li, Jiawen Wu, Zao Han, Qing Dai, Quansheng Gu, Jizong Zhao, Zhouping Tang   +14 more
wiley   +1 more source