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Published in 2022 at "Brain Stimulation"
DOI: 10.1016/j.brs.2022.04.007
Abstract: BACKGROUND Cortico-cortical evoked potentials (CCEPs) recorded by stereo-electroencephalography (SEEG) are a valuable tool to investigate brain reactivity and effective connectivity. However, invasive recordings are spatially sparse since they depend on clinical needs. This sparsity hampers…
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Keywords:
high density;
eeg recordings;
eeg;
stimulation ... See more keywords
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Published in 2017 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2017.06.247
Abstract: OBJECTIVE This paper proposes supervised and unsupervised algorithms for automatic muscle artifact detection and removal from long-term EEG recordings, which combine canonical correlation analysis (CCA) and wavelets with random forests (RF). METHODS The proposed algorithms…
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Keywords:
analysis;
detection removal;
performance;
proposed algorithms ... See more keywords
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Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.01.056
Abstract: OBJECTIVE To investigate whether Posterior Dominant Rhythm (PDR) can be reliably assessed in sleep-EEG recordings and to investigate the diagnostic yield of standard-wake and sleep-recordings. METHODS EEG recordings of 303 consecutive patients aged 18-88 years were…
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Keywords:
standard wake;
wake;
wake sleep;
sleep eeg ... See more keywords
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Published in 2021 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2020.11.042
Abstract: OBJECTIVE Nociceptive activity in some brain areas has concordantly been reported in EEG source models, such as the anterior/mid-cingulate cortex and the parasylvian area. Whereas the posterior insula has been constantly reported to be active…
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Keywords:
posterior insular;
insular activity;
laser evoked;
activity ... See more keywords
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Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.05.059
Abstract: &NA; To demonstrate causal relationships between brain and behavior, investigators would like to guide brain stimulation using measurements of neural activity. Particularly promising in this context are electroencephalography (EEG) and transcranial electrical stimulation (TES), as…
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Keywords:
stimulation;
electrical stimulation;
optimal use;
brain ... See more keywords
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Published in 2022 at "Scientific Data"
DOI: 10.1038/s41597-021-01102-7
Abstract: The neural basis of object recognition and semantic knowledge has been extensively studied but the high dimensionality of object space makes it challenging to develop overarching theories on how the brain organises object knowledge. To…
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Keywords:
recordings 854;
concepts presented;
human eeg;
eeg recordings ... See more keywords
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Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-32304-6
Abstract: We invented the first non-metallic, self-adhesive and dry biosignalling electrode. The PEDOT polymer electrode changes its aggregate state and conductivity by a light curing procedure. The electrode can be applied as a gel underneath hair…
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Keywords:
cured polymer;
non invasive;
electrode;
eeg recordings ... See more keywords
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Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.0191
Abstract: Electroencephalography (EEG) recordings are often contaminated by muscle artefacts. To address the problem, various methods have been proposed to suppress muscle artefacts from either multichannel or single-channel EEG recordings. However, there exist few studies for…
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Keywords:
mode;
muscle artefacts;
eeg recordings;
channel eeg ... See more keywords
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Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac7976
Abstract: Objective. Smart hearing aids which can decode the focus of a user’s attention could considerably improve comprehension levels in noisy environments. Methods for decoding auditory attention from electroencapholography (EEG) have attracted considerable interest for this…
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Keywords:
speech;
auditory attention;
eeg recordings;
eeg ... See more keywords
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Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acae0c
Abstract: Objective. Stereotactic-electroencephalography (SEEG) and scalp EEG recordings can be modeled using mesoscale neural mass population models (NMMs). However, the relationship between those mathematical models and the physics of the measurements is unclear. In addition, it…
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Keywords:
seeg;
framework;
eeg recordings;
model ... See more keywords
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Published in 2020 at "Sleep"
DOI: 10.1093/sleep/zsaa112
Abstract: STUDY OBJECTIVES Develop a high-performing, automated sleep scoring algorithm that can be applied to long-term scalp electroencephalography (EEG) recordings. METHODS Using a clinical dataset of polysomnograms from 6,431 patients (MGH-PSG dataset), we trained a deep…
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Keywords:
term scalp;
long term;
scalp eeg;
eeg recordings ... See more keywords