Topography of EEG multivariate phase synchronization in early Alzheimer's disease
Publications associées (33)
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Objective. This study aims to design and implement the first deep learning (DL) model to classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state electroencephalographic (EEG) signals. Approach. EEG recordings of 17 heal ...
IOP Publishing Ltd2023
Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive
technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial
neglect has been proposed on the basis of covert visuospatial atte ...
The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...
Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the appearance of the first symptoms of cognitive decline. Subjective cognitive decline (SCD) could be the first pre-clinical sign of possible AD, which might be followed by ...
ELSEVIER SCI LTD2023
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Pre-stimulus brain activity is thought to modulate visual perception. However, the nature of this modulation remains debated. In particular, the use of paradigms with very brief and weak stimuli complicates a univocal understanding. Here we focus on phenom ...
SAGE Publishing2021
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Introduction Diagnosis and prediction of recovery in the acute phase of disorders of consciousness (DOC) are critical for subsequent medical decisions. However, reliable assessment remains elusive due to the inability of current validated clinical scales t ...
2017
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Cognitive and perceptual functions depend on the momentary dynamics of the brain. A typical approach to investigate these dynamics is through the so-called method of entrainment. In entrainment, a rhythmic stimulation (e.g., a periodic visual or auditory s ...
2022
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Introduction Findings of recent studies indicate that it is possible to enhance cognitive capacities of healthy individuals by means of individual upper alpha neurofeedback training (NFT). Although these results are promising, most of this research was con ...
2019
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Neurofeedback based on real-time functional magnetic resonance imaging (fMRI) is an emerging technique that allows for learning voluntary control over brain activity. Such brain training has been shown to cause specific behavioral or cognitive enhancements ...
Frontiers Research Foundation2017
Attaching rigid wearables to ones skin may be socially challenging to be accustomed since their wearers may feel vulnerable with compromising their privacy, especially if the device is for tracking neurological or medical conditions. The development of fle ...
