Simultaneous stereo-EEG and high-density scalp EEG recordings to study the effects of intracerebral stimulation parameters
Sign Up to like & getrecommendations! 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… read more here.
Keywords: high density; eeg recordings; eeg; stimulation ... See more keywords
Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests
Sign Up to like & getrecommendations! 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… read more here.
Keywords: analysis; detection removal; performance; proposed algorithms ... See more keywords
Diagnostic yield of standard-wake and sleep EEG recordings
Sign Up to like & getrecommendations! 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… read more here.
Keywords: standard wake; wake; wake sleep; sleep eeg ... See more keywords
Posterior insular activity contributes to the late laser-evoked potential component in EEG recordings
Sign Up to like & getrecommendations! 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… read more here.
Keywords: posterior insular; insular activity; laser evoked; activity ... See more keywords
Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: stimulation; electrical stimulation; optimal use; brain ... See more keywords
Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams
Sign Up to like & getrecommendations! 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… read more here.
Keywords: recordings 854; concepts presented; human eeg; eeg recordings ... See more keywords
Light-cured polymer electrodes for non-invasive EEG recordings
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cured polymer; non invasive; electrode; eeg recordings ... See more keywords
Removal of muscle artefacts from few-channel EEG recordings based on multivariate empirical mode decomposition and independent vector analysis
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mode; muscle artefacts; eeg recordings; channel eeg ... See more keywords
Robust decoding of the speech envelope from EEG recordings through deep neural networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: speech; auditory attention; eeg recordings; eeg ... See more keywords
Towards a mesoscale physical modeling framework for stereotactic-EEG recordings
Sign Up to like & getrecommendations! 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… read more here.
Keywords: seeg; framework; eeg recordings; model ... See more keywords
Expert-level automated sleep staging of long-term scalp EEG recordings using deep learning.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: term scalp; long term; scalp eeg; eeg recordings ... See more keywords