Results 161 to 170 of about 1,377,410 (202)

Emotional responses to naturalistic and artificial intelligence (AI)-generated affective pictures: A systematic comparison. [PDF]

Emotion
Gilbert F, Yang F, Smith E, Gardy SM, Farkas AH, Chen Y, Ding M, Fang R, Keil A.   +8 more
europepmc   +1 more source

NeuroStream: spectral-spatio-temporal deep learning for visual stimulus classification from EEG. [PDF]

Sci Rep
Abdelmagid M, Yusuf M, ElHalawany BM, Fares A.   +3 more
europepmc   +1 more source

Functional ultrasound imaging in preclinical brain stimulation: from multimodal readouts to closed-loop neuromodulation. [PDF]

Front Neurosci
He M, Usman L, Charkhkar H, Cao R.
europepmc   +1 more source

Mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE): genetics, mechanisms and precision therapy. [PDF]

Acta Neuropathol
Spyrou J, Lockhart PJ, Maljevic S, Howell KB, Reid CA.   +4 more
europepmc   +1 more source

Gamma oscillations across recording scales show a preference for saturated long-wavelength (reddish) hues in the primate visual cortex

Biswas A, Ray S.
europepmc   +1 more source

Feasibility of Blind Source Separation Methods for the Denoising of Dense-Array EEG

Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference, 2015
International audienceHigh-density electroencephalographic recordings have recently been proved to bring useful information during the pre-surgical evaluation of patients suffering from drug-resistant epilepsy.
Lotfi Senhadji, Karim Ansari-Asl, Isabelle Merlet   +2 more
exaly   +4 more sources

Statistical Control of Artifacts in Dense Array EEG/MEG Studies [PDF]

Psychophysiology, 2000
With the advent of dense sensor arrays (64–256 channels) in electroencephalography and magnetoencephalography studies, the probability increases that some recording channels are contaminated by artifact. If all channels are required to be artifact free, the number of acceptable trials may be unacceptably low. Precise artifact screening is necessary for
Don M. Tucker, Markus Junghoefer, Thomas Elbert   +2 more
exaly   +6 more sources

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Dense Array EEG: Methodology and New Hypothesis on Epilepsy Syndromes

Epilepsia, 2008
Summary Dense array EEG is a method of recording electroencephalography (EEG) with many more electrodes (up to 256) than is utilized with standard techniques that typically employ 19–21 scalp electrodes. The rationale for this approach is to enhance the spatial resolution of scalp EEG.
Mark D Holmes
exaly   +3 more sources

Complexity Quantification of Dense Array EEG Using Sample Entropy Analysis.

Journal of Integrative Neuroscience, 2004
In this paper, a time series complexity analysis of dense array electroencephalogram signals is carried out using the recently introduced Sample Entropy (SampEn) measure. This statistic quantifies the regularity in signals recorded from systems that can vary from the purely deterministic to purely stochastic realm.
V P N Nampoori
exaly   +3 more sources

Geodesic Photogrammetry for Localizing Sensor Positions in Dense-Array EEG

Clinical Neurophysiology, 2005
An important goal for functional brain studies using EEG technology is to estimate the location of brain sources that produce the scalp-recorded signals. The accuracy of source estimates is dependent upon many variables, one of which is the accurate description of the scalp positions of the EEG sensors.
K Jeffrey Eriksen, Don M. Tucker, Phan Luu   +2 more
exaly   +3 more sources