BrainKilter: A Real-Time EEG Analysis Platform for Neurofeedback Design and Training
Neurofeedback targets self-regularized brain activity to normalized brain function based on brain-computer interface (BCI) technology. Although BCI software or platforms have continued to mature in other fields, little effort has been expended on ...
Guangying Pei +8 more
doaj +1 more source
Brain‐Machine Interfaces for Dementia: A Novel Approach to Early Detection and Personalized Rehabilitation [PDF]
Abstract Background Dementia, a syndrome characterized by progressive cognitive decline, affects over 55 million people globally, with Alzheimer's disease accounting for 60–70% of cases. Traditional interventions, such as medication and cognitive therapies, have limited success in slowing down dementia progress.
Wahid S, Khan A.
europepmc +2 more sources
Prediction of treatment response and the effect of independent component neurofeedback in obsessive-compulsive disorder: a randomized, sham-controlled, and double-blind study [PDF]
International audienceAIMS: The goal of this study was to assess the effect of independent component neurofeedback (NFB) on EEG and clinical symptoms in patients with obsessive-compulsive disorder (OCD).
Brunovský, Martin +5 more
core +2 more sources
Objective Attention is a critical cognitive function impaired in various neurological disorders, and brain–computer interface (BCI) training shows potential for cognitive improvement. However, the neural mechanisms of BCI training on attention networks remain unclear.
Yuhong Huang +9 more
wiley +1 more source
EEG source imaging assists decoding in a face recognition task
EEG based brain state decoding has numerous applications. State of the art decoding is based on processing of the multivariate sensor space signal, however evidence is mounting that EEG source reconstruction can assist decoding.
Andersen, Michael Riis +5 more
core +1 more source
Sports‐related traumatic brain injuries (TBIs) remain underdiagnosed, within amateur athletic cohorts. This review critically synthesises recent advancements in AI‐assisted neuroimaging, blood‐based biomarker profiling, wearable biosensing platforms for early detection, injury stratification, and longitudinal surveillance of TBIs.
Daniel Nicol +3 more
wiley +1 more source
Objective: Cancer survivors may experience persistent physical and psychological symptoms following completion of cancer treatment. Neurofeedback is a noninvasive form of brain training reported to help with symptoms including pain, fatigue, depression ...
Marian F Luctkar-Flude +2 more
doaj +1 more source
The mechanism of neurofeedback training for treatment of central neuropathic pain in paraplegia : a pilot study [PDF]
Central neuropathic pain has a prevalence of 40% in patients with spinal cord injury. Electroencephalography (EEG) studies showed that this type of pain has identifiable signatures, that could potentially be targeted by a neuromodulation therapy. The aim
Allan, David B. +4 more
core +2 more sources
Tendencias del neurofeedback en psicología: revisión sistemática [PDF]
Neurofeedback is a non-invasive method of operant conditioning designed to produce improvements in clinical and performance enhancement or sense of well-being in normal people by inducing neuroplastic effects in the brain.Objectives: Overview the ...
Dias, Alvaro Machado
core +3 more sources
Functional magnetic resonance imaging neurofeedback-guided motor imagery training and motor training for Parkinson's Disease: randomized trial [PDF]
Objective: Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback (NF) uses feedback of the patient’s own brain activity to self-regulate brain networks which in turn could lead to a change in behavior and clinical symptoms.
Brosnan, Meadhbh +5 more
core +3 more sources

