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1 parietal sources readily detectable in scalp electroencephalography.
2 ce and parietal P3b latency), as measured by electroencephalography.
3 s-frequency coupling measured by hippocampal electroencephalography.
4 y was significantly higher than with routine electroencephalography.
5 eep, and postictal states using intracranial electroencephalography.
6 s similar to those observed in preterm human electroencephalography.
7 eep brain stimulation (DBS) and stereotactic electroencephalography.
8 amework to extract 'brain vital signs' using electroencephalography.
9 .4, +/-1 ms) was recorded using multichannel electroencephalography.
10 scranial magnetic stimulation) combined with electroencephalography.
11 oencephalography (60 s) using rapid response electroencephalography.
12 Continuous electroencephalography.
13 n responses measured by electromyography and electroencephalography.
14 m two independent cohorts, using whole-night electroencephalography.
15 chometric HE score, and 146 were assessed by electroencephalography; 202 patients were followed up re
16 ed with a higher proportion of discontinuous electroencephalography (21% vs 6% of early awakeners), a
17 Physician bedside assessment of sonified electroencephalography (30 s from each hemisphere) and v
18 raphy (30 s from each hemisphere) and visual electroencephalography (60 s) using rapid response elect
19 The late positive potential component of electroencephalography, a recognized marker of incentive
21 rly electroencephalography, nonreactive late electroencephalography, absent somatosensory-evoked pote
22 namic coherence between amplitude-integrated electroencephalography (aEEG) and near-infrared spectros
25 nt score, and type of sedation-discontinuous electroencephalography and absent neurologic responses w
26 s, also termed spikes, are seen routinely on electroencephalography and believed to be associated wit
28 responses in cortical visual networks using electroencephalography and dynamic causal modeling and f
30 a and were included.We found fairly reliable electroencephalography and electromyography-based diagno
31 d with first-time unprovoked seizure require electroencephalography and epilepsy protocol-specific ma
32 based criteria (eg, information derived from electroencephalography and functional magnetic resonance
34 ical and transcortical motor circuits, while electroencephalography and magnetoencephalography can no
36 of gamma band oscillations (GBO) observed in electroencephalography and magnetoencephalography signal
40 electroencephalography, and in simultaneous electroencephalography and structural and functional mag
41 le-cell RNA sequencing, computed tomography, electroencephalography and wearable physiological sensor
42 Initial examination included neuroimaging, electroencephalography, and biochemical analyses, all of
43 ul patient history and physical examination, electroencephalography, and brain imaging are necessary
44 tigations (brain magnetic resonance imaging, electroencephalography, and cerebrospinal fluid analysis
46 d muscle-reinnervation surgery, in long-term electroencephalography, and in simultaneous electroencep
47 c assessment including seizure presentation, electroencephalography, and magnetic resonance imaging.
48 task performance measures, electromyography, electroencephalography, and motor evoked potentials elic
53 al epileptiform activity with a disorganized electroencephalography background, developmental regress
55 r Test or Control diet were instrumented for electroencephalography biotelemetry measures of sleep/wa
56 at functional magnetic resonance imaging and electroencephalography can detect command-following and
57 We examine this question using intracranial electroencephalography captured from nine human particip
59 and 16 healthy control subjects underwent an electroencephalography-correlated functional magnetic re
60 l dynamics of theta and alpha power in human electroencephalography data (n = 43, 26 females) reveale
61 al-to-trial Bayesian surprise model to human electroencephalography data recorded during a cross-moda
62 We used a multivariate pattern analysis of electroencephalography data to decode face versus house
63 ated 181 ICU patients; complete clinical and electroencephalography data were available in 164 patien
66 ing cues.SIGNIFICANCE STATEMENT Multichannel electroencephalography demonstrated impairment of binaur
67 n, functional magnetic resonance imaging and electroencephalography detect command-following during a
69 ed clinical, neurophysiologic (particularly, electroencephalography during and after targeted tempera
71 ed functional magnetic resonance imaging and electroencephalography during sleep following motor sequ
73 based experiments, with the latter employing electroencephalography (EEG) acquired from parents while
74 d to diagnosis, by overnight long-term video-electroencephalography (EEG) and a 1-hour resting magnet
75 earning algorithm tailored for resting-state electroencephalography (EEG) and applied it to data from
76 ing for biomarkers of SUDEP risk embedded in electroencephalography (EEG) and electrocardiography (EC
78 tention has been studied in humans with both electroencephalography (EEG) and functional magnetic res
79 toring in OCD with simultaneous recording of electroencephalography (EEG) and functional magnetic res
83 nd confidence judgments, in conjunction with electroencephalography (EEG) and multivariate pattern cl
86 hod of removing motion artifacts from mobile electroencephalography (EEG) and studied human subjects
87 to assess the ability of a smartphone-based electroencephalography (EEG) application, the Smartphone
89 tional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are two noninvasive methods
90 the difference in power spectral density of electroencephalography (EEG) between patients with SS an
95 e modulation discrimination and steady-state electroencephalography (EEG) data to investigate the arc
96 spired Spiking Neural Network (SNN) model to electroencephalography (EEG) data to provide novel insig
97 Using multivariate pattern analysis on human electroencephalography (EEG) data, we compared the oscil
98 eplicating our results in publicly available electroencephalography (EEG) data, we conclude that mode
99 f the effects on motor activity measured via electroencephalography (EEG) during pre- and post-traini
100 The high temporal resolution provided by electroencephalography (EEG) enables the study of variat
102 We performed simultaneous recordings of electroencephalography (EEG) from multiple students in a
103 ain Computer Interfaces (BCI) based on scalp electroencephalography (EEG) have demonstrated the feasi
104 to spoken motor commands can be detected by electroencephalography (EEG) in clinically unresponsive
105 ons to visual change in sign language, using electroencephalography (EEG) in fluent speakers of Ameri
106 visual integration by measuring high-density electroencephalography (EEG) in healthy participants per
115 limited applicability of rt-fMRI by using an electroencephalography (EEG) model endowed with improved
116 trospectively investigated the intracerebral electroencephalography (EEG) of patients who became seiz
117 transcranial magnetic stimulation (TMS) with electroencephalography (EEG) offers unique insights into
119 te visually evoked potential collected using electroencephalography (EEG) recordings to investigate h
122 we assessed cortical excitability from scalp electroencephalography (EEG) responses to transcranial m
124 cation of sleep into stages defined by their electroencephalography (EEG) signatures, but the underly
128 s completed two social processing tasks: one electroencephalography (EEG) task, a biological motion M
130 magnetic stimulation (TMS) and simultaneous electroencephalography (EEG) to characterize individual
136 ergoing presurgical surface and intracranial electroencephalography (EEG) underwent magnetic resonanc
141 ure history were followed with monthly video electroencephalography (EEG), and received vigabatrin ei
142 ters that enabled continuous measurements of electroencephalography (EEG), electromyography (EMG), lo
144 ing of amygdala activity using fMRI-inspired electroencephalography (EEG), hereafter termed amygdala-
145 We used magnetoencephalography (MEG) and electroencephalography (EEG), in combination with repres
148 After confirming a deficit at 30 Hz with electroencephalography (EEG), we applied 20 minutes of t
149 ab." Using this paradigm in combination with electroencephalography (EEG), we examined the computatio
151 transcranial magnetic stimulation (TMS) and electroencephalography (EEG), we investigated the asymme
152 sed types of data in neuroscience comes from electroencephalography (EEG), which records the tiny vol
155 efined maturational trajectories between the Electroencephalography (EEG)-derived 'brain-age' and pos
166 ochemistry showed that chronically implanted electroencephalography electrodes were surrounded by lym
167 combined transcranial magnetic stimulation, electroencephalography, electromyography, and behavioral
168 ysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to dis
171 ehavioral measures (Attention Network Test), electroencephalography/event-related potentials (ERPs),
172 eural oscillations measured via intracranial electroencephalography exhibit spatial representations,
173 tic brain injury and to correlate continuous electroencephalography features with functional outcome.
175 zure detection algorithms using intracranial electroencephalography from canines and humans with epil
176 open access chronic ambulatory intracranial electroencephalography from five canines with naturally
177 inuous electroencephalography versus routine electroencephalography from studies with paired data 2.5
179 tion error responses to sound sequences with electroencephalography, gauged sensory inference explici
180 To determine the outcomes of combined stereo-electroencephalography-guided and MRI-guided stereotacti
184 ess this challenge by recording high-density electroencephalography (HD-EEG) data during a full-body
190 el magnetoencephalography (MEG)-intracranial electroencephalography (iEEG) study in which healthy par
191 In this study, we used human intracranial electroencephalography (iEEG) to show that anticipation
192 rding subthalamic nucleus (STN) activity and electroencephalography in 11 Parkinson's disease patient
193 steady-state visually evoked potentials from electroencephalography in a fear generalization task, we
194 anisms, and the development of tools such as electroencephalography in addition to the dominant MRI m
195 econstructed from high-density resting-state electroencephalography in four datasets of patients with
198 onance imaging and electrical activity using electroencephalography in humans have individually shown
199 graphy, magnetic resonance spectroscopy, and electroencephalography in humans, we find that increased
202 nscranial magnetic stimulation combined with electroencephalography is a powerful tool to probe human
203 After traumatic brain injury, continuous electroencephalography is widely used to detect electrog
204 esonance imaging (fMRI) and with magneto- or electroencephalography (M/EEG) based on representational
205 s across distinct modalities, conducted with electroencephalography, magnetoencephalography, proton m
208 y extracted, optimally combined quantitative electroencephalography measures provides unequalled prog
210 ndex, based on a combination of quantitative electroencephalography measures, extracted every hour, a
213 epilepsy undergoing continuous intracranial electroencephalography monitoring engaged in a delayed f
214 responding prevalence detected by continuous electroencephalography monitoring was 17.9%, 9.1%, and 1
215 han 5% for epileptiform or nonreactive early electroencephalography, nonreactive late electroencephal
217 form activity was confirmed by either stereo-electroencephalography or intraoperative electrocorticog
218 of research focusing on either temporal (via electroencephalography) or spatial (via functional magne
221 ld be readily converted to the stereotypical electroencephalography pattern of wakefulness by simply
222 stant epilepsy who underwent combined stereo-electroencephalography/polysomnography during presurgica
223 activity leads to a generalized increase in electroencephalography power across regions and frequenc
224 rapid eye movement duration, features of the electroencephalography power spectra derived from multiv
225 ent of improvement with pre-TRT quantitative electroencephalography (qEEG) findings to identify neura
226 75 microg/L; accuracy was highest for early electroencephalography reactivity (86.6%; 95% CI, 82.6-9
228 This study provides class III evidence that electroencephalography reactivity predicts both poor and
230 cortical field potentials via thinned-skull electroencephalography recordings and CBF with laser Dop
231 -induced changes in behavior by high-density electroencephalography recordings during restricted slee
232 changes that can be revealed by high-density electroencephalography recordings during sleep in 15 pat
238 ly functional magnetic resonance imaging and electroencephalography responses for the entire cohort.
241 as semi-automatically quantified by decoding electroencephalography responses to frequently repeated
242 was evaluated for intractable headaches, and electroencephalography revealed her focal subclinical st
246 on head CT closest to the initial continuous electroencephalography session, we classified intraparen
248 etic resonance imaging was negative, whereas electroencephalography showed generalized theta slowing.
249 nalysis to the spectral-temporal profiles of electroencephalography signals while participants perfor
250 pothesis, we analyzed intracranial and scalp Electroencephalography sleep recordings from pre-surgica
251 opmental defect associated with seizure-like electroencephalography spikes, which could be rescued by
253 In two independent "resting-state" datasets (electroencephalography surface recordings and magnetoenc
255 ed functional magnetic resonance imaging and electroencephalography techniques have revealed covert c
257 raters certified in standardized continuous electroencephalography terminology blinded to clinical d
258 h the development of standardized continuous electroencephalography terminology, we aimed to describe
259 focal epilepsy patients, evaluated by stereo-electroencephalography that demonstrated a single focal
262 nscranial magnetic stimulation combined with electroencephalography (TMS-EEG), breaks down during the
264 ion of transcranial magnetic stimulation and electroencephalography (TMS/EEG) to study cortical react
265 d SARS-CoV-2-infected patients who underwent electroencephalography to assess unexplained altered men
274 en WM stability and neural dynamics, we used electroencephalography to measure the neural response to
275 Using the unique ability of intracranial electroencephalography to study in situ brain physiology
276 based morphometry, diffusion-tensor imaging, electroencephalography) to test the contribution of brai
278 ing continuous electrocardiography and video electroencephalography (vEEG) recordings throughout a 14
279 Syngap1(+/-) mouse model using 24-hour video electroencephalography (vEEG)/electromyography recording
280 ve status epilepticus detected by continuous electroencephalography versus routine electroencephalogr
281 lsive status epilepticus detected by routine electroencephalography was 3.1%, 6.2%, and 6.3%, respect
284 lectroencephalography while the conventional electroencephalography was delayed by several hours (med
286 detecting outcomes among different types of electroencephalography was performed using random-effect
287 he Hamilton Rating Scale for Depression, and electroencephalography was recorded at baseline and week
292 revalence of seizures detected by continuous electroencephalography was significantly higher than wit
293 eriments, a combination of psychophysics and electroencephalography was used to investigate whether v
298 was 5 minutes (4-10 min) with rapid response electroencephalography while the conventional electroenc