ライフサイエンスコーパス: electroencephalography

1 oding of the speech envelope in humans using electroencephalography.

2 extensor digitorum) together with 64-channel electroencephalography.

3 at the neurophysiological level using human electroencephalography.

4 cale and continuously monitored by processed electroencephalography.

5 tly after stimulus onset using event-related electroencephalography.

6 although excessive slow activity was seen on electroencephalography.

7 REM) / TST x 100%] were determined by using electroencephalography.

8 scranial magnetic stimulation) combined with electroencephalography.

9 Electroencephalography or continuous electroencephalography.

10 g an auditory oddball task using multisensor electroencephalography.

11 t treatment of SE was evaluated by video and electroencephalography.

12 Continuous electroencephalography.

13 .4, +/-1 ms) was recorded using multichannel electroencephalography.

14 n responses measured by electromyography and electroencephalography.

15 chometric HE score, and 146 were assessed by electroencephalography; 202 patients were followed up re

16 The late positive potential component of electroencephalography, a recognized marker of incentive

17 e interval = 1.5-6.3; P = 0.003), interictal electroencephalography abnormalities in the first year o

18 rly electroencephalography, nonreactive late electroencephalography, absent somatosensory-evoked pote

19 e-unit activities (n=2,057) and intracranial electroencephalography across the human medial temporal

20 namic coherence between amplitude-integrated electroencephalography (aEEG) and near-infrared spectros

21 video-electroencephalography in 15 of 20, on electroencephalography alone in two and on video alone i

22 ditory memory paradigm and using model-based electroencephalography analyses in humans, we thus bridg

23 as brain slice electrophysiology and in vivo electroencephalography and behavioral pharmacology, we f

24 s, also termed spikes, are seen routinely on electroencephalography and believed to be associated wit

25 Results of subsequent electroencephalography and brain imaging were unchanged,

26 Combined electroencephalography and calcium imaging experiments c

27 The current investigation used dense array electroencephalography and distributed source analyses t

28 responses in cortical visual networks using electroencephalography and dynamic causal modeling and f

29 d with first-time unprovoked seizure require electroencephalography and epilepsy protocol-specific ma

30 We used electroencephalography and evaluated resting-state intra

31 with CT and MRI, abnormalities detected with electroencephalography and evoked potentials, and physio

32 based criteria (eg, information derived from electroencephalography and functional magnetic resonance

33 activity patterns by MVPA in a simultaneous electroencephalography and functional magnetic resonance

34 The prevalence of seizures during continuous electroencephalography and functional outcome, as measur

35 Using electroencephalography and independent component analysi

36 sonance images and whole-night, high-density electroencephalography and investigated whether individu

37 Electroencephalography and magnetoencephalography have l

38 of gamma band oscillations (GBO) observed in electroencephalography and magnetoencephalography signal

39 l for temporal lobectomy based on interictal electroencephalography and minimally invasive imaging st

40 Using electroencephalography and multivariate pattern analysis

41 We used dense-array electroencephalography and source imaging to reconstruct

42 lateral temporal seizure foci based on ictal electroencephalography and structural magnetic resonance

43 Initial examination included neuroimaging, electroencephalography, and biochemical analyses, all of

44 ul patient history and physical examination, electroencephalography, and brain imaging are necessary

45 tigations (brain magnetic resonance imaging, electroencephalography, and cerebrospinal fluid analysis

46 including infrared reflectance oculography, electroencephalography, and electrooculography.

47 ircuit models, magnetoencephalography, scalp electroencephalography, and even invasive electroencepha

48 c assessment including seizure presentation, electroencephalography, and magnetic resonance imaging.

49 lp electroencephalography, and even invasive electroencephalography are now being used to characteriz

50 Ictal patterns on scalp-electroencephalography are often visible only after prop

51 measured by local field potentials (LFP) or electroencephalography-are of great significance.

52 oencephalography in the ICU is challenged by electroencephalography artifacts and the frequent subtle

53 Continuous electroencephalography as a bedside monitor of cerebral

54 uantify spectral connectivity estimated from electroencephalography as a dense brain network.

55 hic delta, burst suppression, or isoelectric electroencephalography), attempts to use standard sleep

56 al epileptiform activity with a disorganized electroencephalography background, developmental regress

57 Electroencephalography-based measures are safe, inexpens

58 Quantitative assessment of electroencephalography burst shapes was used to preempt

59 The shapes of electroencephalography bursts found in the intraventricu

60 We show that electroencephalography can be used in sheep, and that lo

61 at functional magnetic resonance imaging and electroencephalography can detect command-following and

62 We examine this question using intracranial electroencephalography captured from nine human particip

63 ical brain networks, as well as high-density electroencephalography collected from humans in the cons

64 Here, we show that high density electroencephalography, collected from 104 patients meas

65 and 16 healthy control subjects underwent an electroencephalography-correlated functional magnetic re

66 This study examined specific electroencephalography cortical connectivity measures as

67 We used a multivariate pattern analysis of electroencephalography data to decode face versus house

68 Here, we use single-trial analysis of human electroencephalography data to show that population resp

69 ng epilepsy phenotype, seizure precipitants, electroencephalography data, imaging studies, mutation c

70 s to single-trial magnetoencephalography and electroencephalography data.

71 automatic parsing of continuous intracranial electroencephalography data.

72 re selected from a prospectively established electroencephalography database.

73 ing cues.SIGNIFICANCE STATEMENT Multichannel electroencephalography demonstrated impairment of binaur

74 Electroencephalography demonstrated myoclonus with epile

75 n, functional magnetic resonance imaging and electroencephalography detect command-following during a

76 Here we recorded magneto- and electroencephalography during a visual target-detection

77 ed clinical, neurophysiologic (particularly, electroencephalography during and after targeted tempera

78 We assessed performances of electroencephalography during and after targeted tempera

79 The prognostic role of electroencephalography during and after targeted tempera

80 e if burst suppression measured by processed electroencephalography during coma in sedative-exposed p

81 ed functional magnetic resonance imaging and electroencephalography during sleep following motor sequ

82 ctivation of LC-NE neurons produced cortical electroencephalography (EEG) activation under continuous

83 d to diagnosis, by overnight long-term video-electroencephalography (EEG) and a 1-hour resting magnet

84 We used electroencephalography (EEG) and behavior to examine the

85 ing for biomarkers of SUDEP risk embedded in electroencephalography (EEG) and electrocardiography (EC

86 Simultaneous electroencephalography (EEG) and fMRI (EEG/fMRI) enables

87 Electroencephalography (EEG) and functional magnetic res

88 tention has been studied in humans with both electroencephalography (EEG) and functional magnetic res

89 toring in OCD with simultaneous recording of electroencephalography (EEG) and functional magnetic res

90 Scalp electroencephalography (EEG) and intraoperative electroc

91 hat has been well replicated in the clinical electroencephalography (EEG) and magnetoencephalography

92 We evaluated whether electroencephalography (EEG) and multimodality monitorin

93 to assess the ability of a smartphone-based electroencephalography (EEG) application, the Smartphone

94 ns of spreading depolarization in continuous electroencephalography (EEG) as a broadly applicable, no

95 e aimed to measure functional MRI (fMRI) and electroencephalography (EEG) changes in absence seizures

96 transcranial magnetic stimulation (TMS) and electroencephalography (EEG) constitutes a powerful tool

97 ality, we applied dynamic causal modeling to electroencephalography (EEG) data acquired from humans i

98 tual decision making in humans, we collected electroencephalography (EEG) data during a perceptual ca

99 In this study, the electroencephalography (EEG) data recorded from 15 subje

100 We used multivariate decoding of electroencephalography (EEG) data to investigate percept

101 Previous work using electroencephalography (EEG) demonstrated that the audit

102 f the effects on motor activity measured via electroencephalography (EEG) during pre- and post-traini

103 We defined four groups of electroencephalography (EEG) event occurrence: pre+post-

104 We performed simultaneous recordings of electroencephalography (EEG) from multiple students in a

105 ons to visual change in sign language, using electroencephalography (EEG) in fluent speakers of Ameri

106 (fMRI) in healthy controls and intracranial electroencephalography (EEG) in patients during a recogn

107 y shown to reduce entrainment as measured by electroencephalography (EEG) in patients.

108 while accessing global networks using scalp electroencephalography (EEG) in rhesus macaques.

109 Electroencephalography (EEG) is useful to objectively di

110 The increasing use of continuous electroencephalography (EEG) monitoring in the intensive

111 ate (from 440 +/- 13 to 207 +/- 12 bpm), and electroencephalography (EEG) power; (3) a modest decreas

112 between the heart rate variability (HRV) and electroencephalography (EEG) require a computation-inten

113 we assessed cortical excitability from scalp electroencephalography (EEG) responses to transcranial m

114 Reliable electroencephalography (EEG) signatures of transitions b

115 Electroencephalography (EEG) studies have demonstrated t

116 number of TMS-electromyography (EMG) and TMS-electroencephalography (EEG) studies have identified dis

117 N) is a commonly observed potential in scalp electroencephalography (EEG) studies related to the vale

118 The current human electroencephalography (EEG) study examined the influenc

119 Electroencephalography (EEG) systems can enable us to st

120 ophysiological markers of sleep homeostasis, electroencephalography (EEG) theta power during wakefuln

121 Here, we used electroencephalography (EEG) to assess steady-state visu

122 The current study therefore utilized electroencephalography (EEG) to examine gamma oscillatio

123 We tested this hypothesis using electroencephalography (EEG) to measure stimulus-evoked

124 ergoing presurgical surface and intracranial electroencephalography (EEG) underwent magnetic resonanc

125 Continuous electroencephalography (EEG) use in critically ill patie

126 ter study of surface and intracortical depth electroencephalography (EEG) was performed in conjunctio

127 Electroencephalography (EEG) was recorded while subjects

128 Electroencephalography (EEG) was used to simultaneously

129 Electroencephalography (EEG) was utilized as an alternat

130 The power fluctuations of scale-free human electroencephalography (EEG) were coupled with the globa

131 central auditory processing was assessed by electroencephalography (EEG) with a steady-state paradig

132 Here, by combining psychophysics, electroencephalography (EEG), and modeling, we show that

133 Secondary endpoints assessed impact on electroencephalography (EEG), behavior, and quality of l

134 c patients, we compared the results of video-electroencephalography (EEG), brain MR imaging, interict

135 ters that enabled continuous measurements of electroencephalography (EEG), electromyography (EMG), lo

136 and neurological examinations; a subset had electroencephalography (EEG), electromyography, brain MR

137 ng of large volumes of brain data, including electroencephalography (EEG), has been increasing.

138 ing of amygdala activity using fMRI-inspired electroencephalography (EEG), hereafter termed amygdala-

139 semantic memory, acquiring a combination of electroencephalography (EEG), magnetoencephalography (ME

140 In human electroencephalography (EEG), neural adaptation has been

141 Clinical examination, electroencephalography (EEG), somatosensory evoked poten

142 Combining electroencephalography (EEG), structural MRI, and sleep-

143 transcranial magnetic stimulation (TMS) and electroencephalography (EEG), we assessed instantaneous

144 Using psychophysics and electroencephalography (EEG), we assessed simultaneously

145 By using electroencephalography (EEG), we measured the cortical p

146 S, and 16 healthy controls (HC) underwent an electroencephalography (EEG)-correlated functional magne

147 vely, using magnetoencephalography (MEG) and electroencephalography (EEG).

148 cy activity is detectable at the scalp using electroencephalography (EEG).

149 measured by magnetoencephalography (MEG) or electroencephalography (EEG).

150 ormation processing with scalp recordings of electroencephalography (EEG).

151 via response times (RT) to detect motion and electroencephalography (EEG).

152 underwent neurological examination, MMSE and electroencephalography (EEG).

153 ory steady-state responses (ASSRs) utilizing electroencephalography (EEG).

154 nographic sleep recordings were performed by electroencephalography (EEG).

155 (fMRI), diffusion tensor imaging (DTI), and electroencephalography (EEG).

156 transcranial magnetic stimulation (TMS) and electroencephalography (EEG).

157 a network-specific manner identified through electroencephalography (EEG).

158 EMG; 20% of expenditures; $2.6 billion), and electroencephalography (EEG; 8% of expenditures; $1.1 bi

159 ock (MES) or pilocarpine, variably including electroencephalography, electrocardiography, plethysmogr

160 Combined video-electroencephalography-electrocardiography revealed supp

161 ysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to dis

162 Electroencephalography/electromyography recordings indic

163 administered an auditory oddball task in the electroencephalography environment.

164 Four individuals undergoing stereo-electroencephalography evaluation for drug-resistant epi

165 ehavioral measures (Attention Network Test), electroencephalography/event-related potentials (ERPs),

166 ow scalp potential fluctuations in full-band electroencephalography (fbEEG) are related to the restin

167 n patients being evaluated with intracranial electroencephalography for medically resistant temporal

168 zure detection algorithms using intracranial electroencephalography from canines and humans with epil

169 open access chronic ambulatory intracranial electroencephalography from five canines with naturally

170 Recording electroencephalography from humans, we tested these assu

171 Here we use simultaneous electroencephalography-functional magnetic resonance ima

172 With simultaneously recorded electroencephalography/functional magnetic resonance ima

173 al deficits are paralleled by a reduction in electroencephalography gamma-power.

174 To determine the outcomes of combined stereo-electroencephalography-guided and MRI-guided stereotacti

175 Early highly malignant electroencephalography had an false positive rate of 1.5

176 e effects of chronic cannabis use (utilizing electroencephalography) have shown abnormalities in neur

177 Using high-density electroencephalography (hdEEG), brain activity was measu

178 Early benign electroencephalography heralded good outcome in 86.2% (9

179 in the Stroop task by combining intracranial electroencephalography (iEEG) recordings from the hippoc

180 Finally, we analyze intracranial electroencephalography (IEEG) recordings of a seizure ep

181 atus epilepticus is reported with continuous electroencephalography in 1% to 10% of patients with isc

182 rding subthalamic nucleus (STN) activity and electroencephalography in 11 Parkinson's disease patient

183 red four times using dense array (256 leads) electroencephalography in 12 hemiparetic patients (7.3 +

184 Seizures were identified on video-electroencephalography in 15 of 20, on electroencephalog

185 investigate this issue, we used intracranial electroencephalography in human epilepsy patients togeth

186 Here, we record electroencephalography in human subjects and show that b

187 onance imaging and electrical activity using electroencephalography in humans have individually shown

188 Using high-density electroencephalography in humans, a bilateral entrainmen

189 bined computational simulations and pharmaco-electroencephalography in humans, to test a formulation

190 graphy, magnetic resonance spectroscopy, and electroencephalography in humans, we find that increased

191 performed continuous electrocardiography and electroencephalography in rats undergoing experimental a

192 In this study, we performed continuous electroencephalography in rats undergoing experimental c

193 ures underscore the importance of continuous electroencephalography in the critically ill.

194 We quantitatively assessed electroencephalography in the first 72 hours of postnata

195 The interpretation of continuous electroencephalography in the ICU is challenged by elect

196 , limitations, and strategies for continuous electroencephalography in the ICU.

197 Standardized electroencephalography interpretation seems to predict b

198 et at sub-lobar/gyral level when ictal scalp-electroencephalography is not helpful.

199 Previous magnetoencephalography/electroencephalography (M/EEG) studies have suggested th

200 ta from recent resting-state functional MRI, electroencephalography, magnetoencephalography, and opti

201 s across distinct modalities, conducted with electroencephalography, magnetoencephalography, proton m

202 functional connectivity (measured by fMRI or electroencephalography/magnetoencephalography) by taking

203 ars combining noninvasive electrophysiology (electroencephalography/magnetoencephalography) in patien

204 Continuous electroencephalography may detect electrographic seizure

205 Early electroencephalography measures contribute to outcome pr

206 Conventional electroencephalography measures of interburst intervals

207 In sum, electroencephalography measures of motor cortical connec

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 We recorded simultaneous magneto- and electroencephalography (MEG and EEG) data while subjects

212 the inpatient setting as the use of extended electroencephalography monitoring becomes more commonpla

213 epilepsy undergoing continuous intracranial electroencephalography monitoring engaged in a delayed f

214 The clinical, video electroencephalography, neuroimaging, pathology, and sur

215 han 5% for epileptiform or nonreactive early electroencephalography, nonreactive late electroencephal

216 mal epileptiform waveforms were found in the electroencephalographies of Batten disease affected shee

217 Using magnetoencephalography and electroencephalography of a Go-NoGo paradigm, we investi

218 e imaging on post-injury Day 9.2 +/- 5.0 and electroencephalography on Day 9.8 +/- 4.6.

219 Electroencephalography or continuous electroencephalogra

220 vely) and can be measured noninvasively with electroencephalography or functional magnetic resonance

221 form activity was confirmed by either stereo-electroencephalography or intraoperative electrocorticog

222 ctional MR imaging and other methods such as electroencephalography or magnetoencephalography to bett

223 ures or abnormal photoparoxysmal response on electroencephalography, or both, and 55 individuals with

224 he psychometric HE score (P < 0.0001) and to electroencephalography (P = 0.007).

225 ld be readily converted to the stereotypical electroencephalography pattern of wakefulness by simply

226 activity leads to a generalized increase in electroencephalography power across regions and frequenc

227 ificantly, our novel automated assessment of electroencephalography preempts the occurrence of intrav

228 ls underwent the same magnetoencephalography/electroencephalography protocol on one session without c

229 ural information, whereas functional MRI and electroencephalography provide functional information ab

230 ent of improvement with pre-TRT quantitative electroencephalography (qEEG) findings to identify neura

231 Using quantitative electroencephalography (qEEG) to objectively align doses

232 75 microg/L; accuracy was highest for early electroencephalography reactivity (86.6%; 95% CI, 82.6-9

233 al logistic regression identified absence of electroencephalography reactivity (p < 0.001), incomplet

234 Among 357 patients, early electroencephalography reactivity and continuity and fle

235 mination (brainstem reflexes and myoclonus), electroencephalography reactivity during therapeutic hyp

236 This study provides class III evidence that electroencephalography reactivity predicts both poor and

237 Electroencephalography reactivity seems to be the best d

238 The combination of clinical examination, electroencephalography reactivity, and neuron-specific e

239 Combination of clinical examination, electroencephalography reactivity, and serum neuron-spec

240 Electroencephalography recorded from human observers dur

241 cortical field potentials via thinned-skull electroencephalography recordings and CBF with laser Dop

242 -induced changes in behavior by high-density electroencephalography recordings during restricted slee

243 changes that can be revealed by high-density electroencephalography recordings during sleep in 15 pat

244 Electroencephalography recordings show that conflict dim

245 0-150 Hz) responses from human intracerebral electroencephalography recordings, a measure that is clo

246 and disrupted the behavioral performance and electroencephalography-related activity tasks controlled

247 ly functional magnetic resonance imaging and electroencephalography responses for the entire cohort.

248 We recorded electroencephalography responses to auditory stimuli in

249 In this study, we characterized electroencephalography responses to continuous speech by

250 as semi-automatically quantified by decoding electroencephalography responses to frequently repeated

251 cal characteristics is temporally processed, electroencephalography responses were recorded in the cu

252 Electroencephalography revealed spectral dissociations b

253 Electroencephalography revealed that listeners with poor

254 The increasing use of continuous electroencephalography reveals a clinically underappreci

255 In the evaluation of Stereo-Electroencephalography (SEEG) signals, the physicist's w

256 structed MEG and intracranial stereotactical electroencephalography (SEEG).

257 Electroencephalography showed total suppression of cereb

258 al approach, including clinical examination, electroencephalography, somatosensory-evoked potentials,

259 Electroencephalography studies have identified the error

260 The current electroencephalography study characterized the brain dyn

261 This is the first time such an electroencephalography study has been performed in sheep

262 In the current human electroencephalography study, we investigated how behavi

263 rain magnetic resonance and nuclear imaging, electroencephalography, sural nerve biopsies, sleep eval

264 In two independent "resting-state" datasets (electroencephalography surface recordings and magnetoenc

265 ed functional magnetic resonance imaging and electroencephalography techniques have revealed covert c

266 re likely to have seizures during continuous electroencephalography than were patients without B(I)RD

267 focal epilepsy patients, evaluated by stereo-electroencephalography that demonstrated a single focal

268 In combination with electroencephalography, this paradigm enables researcher

269 -pulse transcranial magnetic stimulation and electroencephalography (TMS-EEG) to probe and record neu

270 using transcranial magnetic stimulation and electroencephalography (TMS-EEG).

271 Here, we used dual-electroencephalography to assess whether direct gaze inc

272 addressed this challenge using high-density electroencephalography to characterise changes in brain

273 Here, we used electroencephalography to demonstrate recruitment of the

274 by using the greater temporal resolution of electroencephalography to investigate the neural computa

275 Here we used electroencephalography to investigate the neural dynamic

276 Here, we used electroencephalography to measure brain activity while p

277 However, by using electroencephalography to measure neural activity with a

278 motor predictions is altered in OCD, we used electroencephalography to measure suppression of the N1

279 rgical behavioral measures, and intracranial electroencephalography to provide support for, and elabo

280 nix occurred in 4-hour sessions in the video-electroencephalography unit.

281 We assessed electroencephalography variables (reactivity, continuity

282 ctal and interictal state confirmed by video-electroencephalography (VEEG) in 20 patients with unilat

283 lamp recording, K(+) concentration analysis, electroencephalography/video-monitoring, and fate mappin

284 Electroencephalography was performed in 20 patients with

285 Electroencephalography was recorded during task performa

286 Continuous electroencephalography was recorded during the first 3 d

287 High-density electroencephalography was recorded from human subjects

288 On each of 2 d, electroencephalography was synchronized with head and bo

289 ession during coma, as measured by processed electroencephalography, was an independent predictor of

290 Using high-density electroencephalography, we contrasted the presence and a

291 Using concurrent magneto- and electroencephalography, we found that CFS was load-depen

292 In addition, via electroencephalography, we show in 2 separate studies th

293 ce, but characteristics of these seizures on electroencephalography were not altered.

294 and brain microdialysis, and electrodes for electroencephalography were placed.

295 tures of cognitive control, as measured with electroencephalography, were remediated by multitasking

296 We measured behavior and electroencephalography while listeners judged motion dir

297 Electroencephalography with simultaneous video recording

298 Here, we coupled single-trial electroencephalography with simultaneously acquired fMRI

299 Here coupling single-trial electroencephalography with simultaneously acquired func

300 continuous performance task and high-density electroencephalography with the goal of determining whet