Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study
Frontiers in Human Neuroscience, 2016 Introduction: Neurofeedback training aims at learning self-regulation of brain activity underlying cognitive, emotional or physiological functions.
Johanna Louise Reichert +7 more
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A P300-Based Brain-Computer Interface for Improving Attention
Frontiers in Human Neuroscience, 2019 A Brain-computer Interface (BCI) can be used as a neurofeedback training tool to improve cognitive performance. BCIs aim to improve the effectiveness and efficiency of the conventional neurofeedback methods by focusing on the self-regulation of ...
Mahnaz Arvaneh +2 more
doaj +1 more source
Home Used, Patient Self-Managed, Brain-Computer Interface for Treatment of Central Neuropathic Pain in Spinal Cord Injury: Feasibility Study [PDF]
, 2017 Central Neuropathic Pain (CNP) is a frequent chronic condition in people with spinal cord injury (SCI). In a previous study, we showed that using laboratory brain-computer interface (BCI) technology for neurofeedback training, it is possible to reduce ...
Al-Taleb, M.K.H. +3 more
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The mechanism of neurofeedback training for treatment of central neuropathic pain in paraplegia : a pilot study [PDF]
, 2015 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
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Frontiers in Human Neuroscience, 2016 Neurofeedback is a mode of treatment that is potentially useful for improving self-regulation skills in persons with autism spectrum disorder. We proposed that operant conditioning of EEG in neurofeedback mode can be accompanied by changes in the ...
Yao eWang +10 more
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Comparison of smoothing filters in analysis of EEG data for the medical diagnostics purposes [PDF]
, 2020 This paper covers a brief review of both the advantages and disadvantages of the implementation of various smoothing filters in the analysis of electroencephalography (EEG) data for the purpose of potential medical diagnostics.
Blaszczyszyn, Monika +6 more
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fMRI Neurofeedback Training for Increasing Anterior Cingulate Cortex Activation in Adult Attention Deficit Hyperactivity Disorder. An Exploratory Randomized, Single-Blinded Study. [PDF]
PLoS ONE, 2017 Attention Deficit Hyperactivity Disorder (ADHD) is characterized by poor cognitive control/attention and hypofunctioning of the dorsal anterior cingulate cortex (dACC).
Anna Zilverstand +5 more
doaj +1 more source
Frontiers in Aging Neuroscience, 2020 Mismatch negativity (MMN) is suitable for studies of preattentive auditory discriminability and the auditory memory trace. Subjective cognitive decline (SCD) is an ideal target for early therapeutic intervention because SCD occurs at preclinical stages ...
Guangying Pei +13 more
doaj +1 more source
Human-Computer Interaction for BCI Games: Usability and User Experience [PDF]
, 2010 Brain-computer interfaces (BCI) come with a lot of issues, such as delays, bad recognition, long training times, and cumbersome hardware. Gamers are a large potential target group for this new interaction modality, but why would healthy subjects want to ...
Gürkök, Hayrettin +8 more
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Developmental Cognitive Neuroscience, 2019 Adolescence is a neuroplastic period for self-processing and emotion regulation transformations, that if derailed, are linked to persistent depression.
Karina Quevedo +10 more
doaj +1 more source