EEG neurofeedback for anxiety disorders and post-traumatic stress disorders: A blueprint for a promising brain-based therapy

JA Micoulaud-Franchi, C Jeunet, A Pelissolo… - Current psychiatry …, 2021 - Springer
Abstract Purpose of Review This review provides an overview of current knowledge and
understanding of EEG neurofeedback for anxiety disorders and post-traumatic stress …

[HTML][HTML] EEG-neurofeedback as a potential therapeutic approach for cognitive deficits in patients with dementia, multiple sclerosis, stroke and traumatic brain injury

I Vilou, A Varka, D Parisis, T Afrantou, P Ioannidis - Life, 2023 - mdpi.com
Memory deficits are common in patients with dementia, such as Alzheimer's disease, but
also in patients with other neurological and psychiatric disorders, such as brain injury …

[HTML][HTML] Comparison of QEEG findings before and after onset of post-COVID-19 brain fog symptoms

M Kopańska, D Ochojska, R Muchacka… - Sensors, 2022 - mdpi.com
Previous research and clinical reports have shown that some individuals after COVID-19
infection may demonstrate symptoms of so-called brain fog, manifested by cognitive …

[HTML][HTML] Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

L Pillette, F Lotte, B N'Kaoua, PA Joseph, C Jeunet… - NeuroImage: Clinical, 2020 - Elsevier
The neuronal loss resulting from stroke forces 80% of the patients to undergo motor
rehabilitation, for which Brain-Computer Interfaces (BCIs) and NeuroFeedback (NF) can be …

Fragile X premutation: medications, therapy and lifestyle advice

DK Sodhi, R Hagerman - Pharmacogenomics and Personalized …, 2021 - Taylor & Francis
The fragile X premutation is characterized by 55–200 CGG repeats in the 5ʹ untranslated
region of FMR1, whereas full fragile X mutation has greater than 200 repeats and full …

Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: a meta-analysis

P Pindi, J Houenou, C Piguet, P Favre - Progress in Neuro …, 2022 - Elsevier
Neurofeedback using real-time functional MRI (RT-fMRI-NF) is an innovative technique that
allows to voluntarily modulate a targeted brain response and its associated behavior …

[HTML][HTML] Multi-session influence of two modalities of feedback and their order of presentation on MI-BCI user training

L Pillette, B N'kaoua, R Sabau, B Glize… - Multimodal Technologies …, 2021 - mdpi.com
By performing motor-imagery tasks, for example, imagining hand movements, Motor-
Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital technologies …

[HTML][HTML] Additive effects of EEG neurofeedback on medications for ADHD: a systematic review and meta-analysis

FL Lin, CK Sun, YS Cheng, MY Wang, W Chung… - Scientific Reports, 2022 - nature.com
To elucidate possible additive effects of electroencephalogram-based neurofeedback (EEG-
NF) on medications against the core symptoms of attention-deficit/hyperactivity disorder …

Standardization of protocol design for user training in EEG-based brain–computer interface

J Mladenović - Journal of Neural Engineering, 2021 - iopscience.iop.org
Brain–computer interfaces (BCIs) are systems that enable a person to interact with a
machine using only neural activity. Such interaction can be non-intuitive for the user hence …

Improving clinical, cognitive, and psychosocial dysfunctions in patients with schizophrenia: A neurofeedback randomized control trial

R Markiewicz, A Markiewicz-Gospodarek… - Neural …, 2021 - Wiley Online Library
Objectives. The aim of this study was to use neurofeedback (NF) training as the add‐on
therapy in patients with schizophrenia to improve their clinical, cognitive, and psychosocial …