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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
20 erkinetic movement disorder, and epilepsy or electroencephalography abnormalities.
21 rly electroencephalography, nonreactive late electroencephalography, absent somatosensory-evoked pote
22 namic coherence between amplitude-integrated electroencephalography (aEEG) and near-infrared spectros
23           Among 152 patients with continuous electroencephalography (age 34 +/- 14 yr; 88% male), 22
24                    Here, we use intracranial electroencephalography and a hybrid spatial-episodic mem
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
27                        Results of subsequent electroencephalography and brain imaging were unchanged,
28  responses in cortical visual networks using electroencephalography and dynamic causal modeling and f
29                                    Combining electroencephalography and electrocardiography, along wi
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
33                        Relying on concurrent electroencephalography and hemodynamic recordings, we fo
34 ical and transcortical motor circuits, while electroencephalography and magnetoencephalography can no
35                                              Electroencephalography and magnetoencephalography have l
36 of gamma band oscillations (GBO) observed in electroencephalography and magnetoencephalography signal
37                                        Using electroencephalography and multivariate pattern analysis
38 jective reduction in seizures (determined by electroencephalography and parental reporting).
39                                              Electroencephalography and pupillometry measures of atte
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
45  including infrared reflectance oculography, electroencephalography, and electrooculography.
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
49 in adult critically ill, applied any type of electroencephalography, and reported seizure rates.
50 uantify spectral connectivity estimated from electroencephalography as a dense brain network.
51 atment plans before and after rapid response electroencephalography assessment.
52                      Importantly, continuous electroencephalography background features were independ
53 al epileptiform activity with a disorganized electroencephalography background, developmental regress
54                             In recent years, electroencephalography-based event-related potential mea
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
58              Here, we show that high density electroencephalography, collected from 104 patients meas
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
64 phy, setup time, ease of use, and quality of electroencephalography data.
65 automatic parsing of continuous intracranial electroencephalography data.
66 ing cues.SIGNIFICANCE STATEMENT Multichannel electroencephalography demonstrated impairment of binaur
67 n, functional magnetic resonance imaging and electroencephalography detect command-following during a
68                  We assessed performances of electroencephalography during and after targeted tempera
69 ed clinical, neurophysiologic (particularly, electroencephalography during and after targeted tempera
70                       The prognostic role of electroencephalography during and after targeted tempera
71 ed functional magnetic resonance imaging and electroencephalography during sleep following motor sequ
72                                              Electroencephalography (EEG) abnormalities are also obse
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
77                                 Simultaneous electroencephalography (EEG) and fMRI (EEG/fMRI) enables
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
80              Connectivity estimates based on electroencephalography (EEG) and magnetoencephalography
81                            Here, we measured electroencephalography (EEG) and manipulated the presenc
82                         We evaluated whether electroencephalography (EEG) and multimodality monitorin
83 nd confidence judgments, in conjunction with electroencephalography (EEG) and multivariate pattern cl
84                            While we recorded electroencephalography (EEG) and pupillometry data, stim
85                        In this work, we used electroencephalography (EEG) and pupillometry to reveal
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
88               Brain oscillations captured in electroencephalography (EEG) are thought to be disrupted
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
91 nce imaging (rs-fMRI) and human intracranial electroencephalography (EEG) coherence.
92                           In this study, the electroencephalography (EEG) data recorded from 15 subje
93                                 Furthermore, electroencephalography (EEG) data revealed an increase i
94             We used multivariate decoding of electroencephalography (EEG) data to investigate percept
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
101                    We defined four groups of electroencephalography (EEG) event occurrence: pre+post-
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
107            Here, we used psychoacoustics and electroencephalography (EEG) in male and female human li
108                         performed task-based electroencephalography (EEG) in patients with disorders
109 y shown to reduce entrainment as measured by electroencephalography (EEG) in patients.
110                                              Electroencephalography (EEG) is a method for recording e
111                                      Chronic electroencephalography (EEG) is a widely used tool for m
112                                              Electroencephalography (EEG) is the non-invasive measure
113                                              Electroencephalography (EEG) is useful to objectively di
114                                We looked for Electroencephalography (EEG) markers of CVSA usable for
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
118         Beta frequency oscillations in scalp electroencephalography (EEG) recordings over the primary
119 te visually evoked potential collected using electroencephalography (EEG) recordings to investigate h
120                                  Here, using electroencephalography (EEG) recordings, we identified a
121                Here we examined the cortical electroencephalography (EEG) response to ketamine of 12
122 we assessed cortical excitability from scalp electroencephalography (EEG) responses to transcranial m
123                                     Reliable electroencephalography (EEG) signatures of transitions b
124 cation of sleep into stages defined by their electroencephalography (EEG) signatures, but the underly
125                        Human imaging [4] and electroencephalography (EEG) studies [6-9] have shown th
126         Additionally, separate evidence from electroencephalography (EEG) studies suggests that prefr
127                                        In an electroencephalography (EEG) study, we addressed the que
128 s completed two social processing tasks: one electroencephalography (EEG) task, a biological motion M
129                       In this study, we used electroencephalography (EEG) to assess the effects of a
130  magnetic stimulation (TMS) and simultaneous electroencephalography (EEG) to characterize individual
131                                Here, we used electroencephalography (EEG) to determine the neurophysi
132              We tested this hypothesis using electroencephalography (EEG) to measure stimulus-evoked
133                       The interface combines electroencephalography (EEG) to record brain signals and
134                                Here, we used electroencephalography (EEG) to test the hypothesis that
135                  The occurrence of wake-like electroencephalography (EEG) traces during rapid-eye mov
136 ergoing presurgical surface and intracranial electroencephalography (EEG) underwent magnetic resonanc
137                                   Continuous electroencephalography (EEG) use in critically ill patie
138 ed a passive auditory oddball paradigm while electroencephalography (EEG) was recorded.
139                                              Electroencephalography (EEG) was used to simultaneously
140                Combining Bayesian modelling, electroencephalography (EEG), and multivariate decoding
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
143 ng of large volumes of brain data, including electroencephalography (EEG), has been increasing.
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
146                        Clinical examination, electroencephalography (EEG), somatosensory evoked poten
147                                    Combining electroencephalography (EEG), structural MRI, and sleep-
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
150                                        Using electroencephalography (EEG), we found that where a hand
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
153  concurrently wearing a previously validated electroencephalography (EEG)-based device.
154                                Subjects with electroencephalography (EEG)-confirmed seizures after >=
155 efined maturational trajectories between the Electroencephalography (EEG)-derived 'brain-age' and pos
156 s) were measured over occipital cortex using electroencephalography (EEG).
157 t can be recorded over the human scalp using electroencephalography (EEG).
158 e most common methodology to study epilepsy, electroencephalography (EEG).
159 vely, using magnetoencephalography (MEG) and electroencephalography (EEG).
160  (fMRI), diffusion tensor imaging (DTI), and electroencephalography (EEG).
161  transcranial magnetic stimulation (TMS) and electroencephalography (EEG).
162 a network-specific manner identified through electroencephalography (EEG).
163 n (gCBF), cognitive performance and cortical electroencephalography (EEG).
164 tone changes in sequences of syllables using electroencephalography (EEG).
165  while measuring their neural response using electroencephalography (EEG).
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
169                                              Electroencephalography/electromyography recordings indic
170                               Rapid response electroencephalography enabled timely and more accurate
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.
174                     At that time, ambulatory electroencephalography findings showed asymmetric left p
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
178                     Here we use simultaneous electroencephalography-functional magnetic resonance ima
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
181                       Early highly malignant electroencephalography had an false positive rate of 1.5
182                                              Electroencephalography has shown that recall signals unf
183                                Studies using electroencephalography have characterized changes in neu
184 ess this challenge by recording high-density electroencephalography (HD-EEG) data during a full-body
185                                 Early benign electroencephalography heralded good outcome in 86.2% (9
186 volved epilepsy patients undergoing invasive electroencephalography (iEEG) for surgery.
187                 Using long-term intracranial electroencephalography (iEEG) recordings from fourteen p
188                                 Intracranial electroencephalography (iEEG) recordings from three subj
189             Finally, we analyze intracranial electroencephalography (IEEG) recordings of a seizure ep
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
196                              Here, we record electroencephalography in human subjects and show that b
197         To test this hypothesis, we recorded electroencephalography in humans during stimulation 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
200                    Relying on rapid response electroencephalography information at the bedside improv
201                                 Standardized electroencephalography interpretation seems to predict b
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
206                    The use of rapid response electroencephalography may be clinically beneficial in t
207                                        Early electroencephalography measures contribute to outcome pr
208 y extracted, optimally combined quantitative electroencephalography measures provides unequalled prog
209                            Nine quantitative electroencephalography measures were extracted.
210 ndex, based on a combination of quantitative electroencephalography measures, extracted every hour, a
211                                      Time to electroencephalography (median [interquartile range]) wa
212                                        Video-electroencephalography, molecular biology analyses on br
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
216 e imaging on post-injury Day 9.2 +/- 5.0 and electroencephalography on Day 9.8 +/- 4.6.
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
219 he psychometric HE score (P < 0.0001) and to electroencephalography (P = 0.007).
220                                       Stereo-electroencephalography paired with polysomnography is th
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
227                    Among 357 patients, early electroencephalography reactivity and continuity and fle
228  This study provides class III evidence that electroencephalography reactivity predicts both poor and
229                                              Electroencephalography reactivity seems to be the best d
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
233          We address this question by probing electroencephalography recordings from healthy humans (b
234 n volunteers (10 females and 7 males) during electroencephalography recordings made at rest.
235                                 Here, we use electroencephalography recordings of N = 33 human partic
236         Using large-scale human intracranial electroencephalography recordings, we show that interict
237 We here rephrase this hypothesis using human electroencephalography recordings.
238 ly functional magnetic resonance imaging and electroencephalography responses for the entire cohort.
239                                  We recorded electroencephalography responses to auditory stimuli in
240              In this study, we characterized electroencephalography responses to continuous speech by
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
243                                              Electroencephalography revealed spectral dissociations b
244                                    Consensus electroencephalography reviews were performed by raters
245                  In the evaluation of Stereo-Electroencephalography (SEEG) signals, the physicist's w
246 on head CT closest to the initial continuous electroencephalography session, we classified intraparen
247              Secondary outcomes were time to electroencephalography, setup time, ease of use, and qua
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
252                At the functional level, some electroencephalography studies have indicated left front
253 In two independent "resting-state" datasets (electroencephalography surface recordings and magnetoenc
254 sions based on the use of the rapid response electroencephalography system.
255 ed functional magnetic resonance imaging and electroencephalography techniques have revealed covert c
256           In this study, we use intracranial electroencephalography techniques to record neural activ
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
260                          In combination with electroencephalography, this paradigm enables researcher
261                            TMS combined with electroencephalography (TMS-EEG) affords a window to dir
262 nscranial magnetic stimulation combined with electroencephalography (TMS-EEG), breaks down during the
263  using transcranial magnetic stimulation and electroencephalography (TMS-EEG).
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
266                           Here, we used dual-electroencephalography to assess whether direct gaze inc
267                                Here, we used electroencephalography to demonstrate recruitment of the
268                                      We used electroencephalography to examine how visibility interac
269                                 Here we used electroencephalography to explore how frontal alpha asym
270                       The current study uses electroencephalography to explore how the push-pull inte
271               Here we use human intracranial electroencephalography to investigate the behavioral rel
272                                Here, we used electroencephalography to measure brain activity while p
273                            However, by using electroencephalography to measure neural activity with a
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
277                                  We assessed electroencephalography variables (reactivity, continuity
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
282                            For this purpose, electroencephalography was collected from 78 participant
283                        In the present study, electroencephalography was conducted in young animals (m
284 lectroencephalography while the conventional electroencephalography was delayed by several hours (med
285                                   Continuous electroencephalography was initiated upon admission to t
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
288                                   Continuous electroencephalography was recorded during the first 3 d
289                                 High-density electroencephalography was recorded from human subjects
290                                              Electroencephalography was recorded while male and femal
291 completed visual and auditory WM tasks while electroencephalography was recorded.
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
294                           Using high-density electroencephalography, we contrasted the presence and a
295                Using concurrent magneto- and electroencephalography, we found that CFS was load-depen
296                             In addition, via electroencephalography, we show in 2 separate studies th
297                     We measured behavior and electroencephalography while listeners judged motion dir
298 was 5 minutes (4-10 min) with rapid response electroencephalography while the conventional electroenc
299                     We combined high-density electroencephalography with a full-body reaching protoco
300                Here, we coupled single-trial electroencephalography with simultaneously acquired fMRI

 
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