Results 21 to 30 of about 25,035 (182)

Deep brain electrical neurofeedback allows Parkinson patients to control pathological oscillations and quicken movements

open access: yesScientific Reports, 2021
Parkinsonian motor symptoms are linked to pathologically increased beta-oscillations in the basal ganglia. While pharmacological treatment and deep brain stimulation (DBS) reduce these pathological oscillations concomitantly with improving motor ...
Oliver Bichsel   +5 more
doaj   +1 more source

Neurofeedback

open access: yesL' Encephale, 2017
L’intelligence artificielle des robots, capables d’apprendre de leurs erreurs et de modifier leur comportement en conséquence, est élaborée sur le modèle de l’activité des neurones du cerveau. Un stress émotionnel, un accident de la route, un décès, sont autant de facteurs susceptibles de perturber cette activité neuronale et d’en dérégler le ...
Elizabeth M. Power, Rik Carl D’Amato
  +6 more sources

fMRI-based neurofeedback strategies and the way forward to treating phasic psychiatric symptoms

open access: yesFrontiers in Neuroscience, 2023
Auditory verbal hallucinations (AVH) are the perfect illustration of phasic symptoms in psychiatric disorders. For some patients and in some situations, AVH cannot be relieved by standard therapeutic approaches. More advanced treatments are needed, among
Candela Donantueno   +3 more
doaj   +1 more source

A Roadmap for Integrating Neuroscience into Addiction Treatment:A Consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine [PDF]

open access: yes, 2019
Although there is general consensus that altered brain structure and function underpins addictive disorders, clinicians working in addiction treatment rarely incorporate neuroscience-informed approaches into their practice.
Arunogiri, Shalini   +25 more
core   +7 more sources

Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance

open access: yesNature Communications, 2016
Confidence associated with perceptual judgements is generally seen as directly reflecting the reliability of perceptual processes. Here the authors use fMRI-based decoded neurofeedback to manipulate confidence and show that it does not affect perceptual ...
Aurelio Cortese   +4 more
doaj   +1 more source

Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task

open access: yesFrontiers in Human Neuroscience, 2017
Neurofeedback is a promising tool for brain rehabilitation and peak performance training. Neurofeedback approaches usually rely on a single brain imaging modality such as EEG or fMRI.
Lorraine Perronnet   +24 more
doaj   +1 more source

Spontaneous Modulation of Alpha Power During a Neurofeedback Session Without Instructions. [PDF]

open access: yesPsychophysiology
ABSTRACT Electroencephalographic neurofeedback (EEG‐NF) enables individuals to self‐regulate specific EEG features with real‐time sensory feedback. Despite clinical and cognitive‐enhancement applications, the mechanisms underlying the EEG modulation remain poorly understood. Particularly, alpha activity (8–12 Hz) upregulation may occur independently of
Maaz J, Paban V, Waroquier L, Rey A.
europepmc   +2 more sources

A small number of abnormal brain connections predicts adult autism spectrum disorder

open access: yesNature Communications, 2016
Autism spectrum disorder (ASD) is manifested by subtle but significant changes in the brain. Here, Yahata and colleagues devise a novel machine learning algorithm and develop a reliable ASD classifier based on brain functional connectivity, with which ...
Noriaki Yahata   +18 more
doaj   +1 more source

Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks

open access: yesScientific Reports, 2021
Neurofeedback allows for the self-regulation of brain circuits implicated in specific maladaptive behaviors, leading to persistent changes in brain activity and connectivity.
Marina Krylova   +9 more
doaj   +1 more source

Comparison of smoothing filters in analysis of EEG data for the medical diagnostics purposes [PDF]

open access: yes, 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
core   +1 more source

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