[HTML][HTML] Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review
T Mussigmann, B Bardel, JP Lefaucheur - NeuroImage, 2022 - Elsevier
Diagnosis and management of chronic neuropathic pain are challenging, leading to current
efforts to characterize 'objective'biomarkers of pain using imaging or neurophysiological …
efforts to characterize 'objective'biomarkers of pain using imaging or neurophysiological …
Simultaneous EEG-fMRI: what have we learned and what does the future hold?
T Warbrick - Sensors, 2022 - mdpi.com
Simultaneous EEG-fMRI has developed into a mature measurement technique in the past
25 years. During this time considerable technical and analytical advances have been made …
25 years. During this time considerable technical and analytical advances have been made …
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies
Abstract fMRI Neurofeedback research employs many different control conditions. Currently,
there is no consensus as to which control condition is best, and the answer depends on …
there is no consensus as to which control condition is best, and the answer depends on …
EEG‐neurofeedback and executive function enhancement in healthy adults: A systematic review
Abstract Electroencephalographic (EEG)‐neurofeedback training (NFT) is a promising
technique that supports individuals in learning to modulate their brain activity to obtain …
technique that supports individuals in learning to modulate their brain activity to obtain …
Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study
This paper presents an investigation about the effects of mental stress on prefrontal cortex
(PFC) subregions using simultaneous measurement of functional Near-Infrared …
(PFC) subregions using simultaneous measurement of functional Near-Infrared …
A psychoengineering paradigm for the neurocognitive mechanisms of biofeedback and neurofeedback
A Gaume, A Vialatte, A Mora-Sánchez… - Neuroscience & …, 2016 - Elsevier
We believe that the missing keystone to design effective and efficient biofeedback and
neurofeedback protocols is a comprehensive model of the mechanisms of feedback …
neurofeedback protocols is a comprehensive model of the mechanisms of feedback …
Consumer-grade electroencephalogram and functional near-infrared spectroscopy neurofeedback Technologies for Mental Health and Wellbeing
K Flanagan, MJ Saikia - Sensors, 2023 - mdpi.com
Neurofeedback, utilizing an electroencephalogram (EEG) and/or a functional near-infrared
spectroscopy (fNIRS) device, is a real-time measurement of brain activity directed toward …
spectroscopy (fNIRS) device, is a real-time measurement of brain activity directed toward …
A survey on eeg signal processing techniques and machine learning: Applications to the neurofeedback of autobiographical memory deficits in schizophrenia
In this paper, a general overview regarding neural recording, classical signal processing
techniques and machine learning classification algorithms applied to monitor brain activity is …
techniques and machine learning classification algorithms applied to monitor brain activity is …
Machine learning algorithms and statistical approaches for Alzheimer's disease analysis based on resting-state EEG recordings: A systematic review
Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of
dementia with a great prevalence in western countries. The diagnosis of AD and its …
dementia with a great prevalence in western countries. The diagnosis of AD and its …
Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and …
Summary Many Brain Computer Interface (BCI) and neurofeedback studies have
investigated the impact of sensorimotor rhythm (SMR) self-regulation training procedures on …
investigated the impact of sensorimotor rhythm (SMR) self-regulation training procedures on …