ライフサイエンスコーパス: electroencephalogram

1 y obvious signs of seizure activity on scalp electroencephalogram.

2 ings with foramen ovale electrodes and scalp electroencephalogram.

3 d spectral peaks differing from the baseline electroencephalogram.

4 in functional magnetic resonance imaging and electroencephalogram.

5 eneralized spike and wave discharges seen on electroencephalogram.

6 tures that contribute minimally to the scalp electroencephalogram.

7 fter cardiac arrest and preceded isoelectric electroencephalogram.

8 e performed a spectral analysis of the sleep electroencephalogram.

9 he theta rhythm, as shown on the hippocampal electroencephalogram.

10 signal strength and map dissimilarity of the electroencephalogram.

11 early visual cortex as measured by the human electroencephalogram.

12 eration of a local field potential (LFP) and electroencephalogram.

13 le for everyday monitoring than utilizing an electroencephalogram.

14 ed evoked responses relative to pre-stimulus electroencephalogram.

15 oach to measure mnemonic hidden states in an electroencephalogram.

16 n electrographic signatures in intracerebral electroencephalograms.

17 mes of brain probed by clinical intracranial electroencephalograms.

18 ation again, this time applied to observers' electroencephalogram activity, we established where and

19 Isoelectric or low-voltage electroencephalograms after 24 hrs predicted poor outcom

20 Electroencephalogram allows reliable prediction of both

21 Electroencephalogram alpha power at age 8 significantly

22 ir social skills, and the children's resting electroencephalogram alpha power was recorded.

23 Quantitative electroencephalogram analysis revealed anomalous increas

24 t cortical hyper excitability as measured by electroencephalogram and auditory-evoked potentials.

25 uced status epilepticus was characterized by electroencephalogram and behavior in GluA1 knockout mice

26 tinct brain state characterized by activated electroencephalogram and complete skeletal muscle paraly

27 In all patients, continuous electroencephalogram and daily somatosensory evoked pote

28 Sleep analysis based on electroencephalogram and electromyogram recordings revea

29 CI device integrates wearable, wireless, dry electroencephalogram and electrooculogram systems and a

30 were monitored for seizures by serial video-electroencephalogram and for long-term survival.

31 lunteers for the acquisition of simultaneous electroencephalogram and functional magnetic resonance i

32 ls debated the issues on the accuracy of the electroencephalogram and its place, the absolute need fo

33 amma during fast stopping and recorded scalp electroencephalogram and local field potentials from dee

34 (5) Ancillary studies (electroencephalogram and radionuclide cerebral blood flo

35 5) Ancillary studies (electroencephalogram and radionuclide cerebral blood flo

36 llations measured by local field potentials, electroencephalograms and magnetoencephalograms exhibit

37 s were assessed using 5-minute resting-state electroencephalograms and parallel electrocardiograms.

38 Mean HEP amplitudes in resting-state electroencephalograms and their correlation with self-re

39 and subthalamic nucleus along with cortical electroencephalograms and were compared to recordings fr

40 Clinical, electroencephalogram, and ECG data for each of their sei

41 pilepsy localization from seizure semiology, electroencephalogram, and magnetic resonance imaging.

42 in responses were recorded with high-density electroencephalogram, and sources of event-related poten

43 tivity and prolonged propagation time on the electroencephalogram, and the absence of metabolic dysfu

44 unction of pyramidal cell activity, with the electroencephalogram approximated by the sum of populati

45 Electroencephalograms are recorded while subjects say 'a

46 erized by spike-wave discharges (SWD) in the electroencephalogram, arises from aberrations within the

47 coma after cardiac arrest, including visual electroencephalogram assessment by trained electroenceph

48 evelops during SRSE despite seizure control (electroencephalogram background suppression with anesthe

49 nt effects on state consolidation and/or the electroencephalogram but had no effect on total wake.

50 by video observation of each animal and the electroencephalogram by an automated seizure detection p

51 Visual assessment of the electroencephalogram by experienced clinical neurophysio

52 Furthermore, we found that electroencephalogram cascades are related to blood oxyge

53 r 2 are suspected to be epileptogenic and if electroencephalogram changes are equivocal or discordant

54 Gaining a better understanding of sleep and electroencephalogram changes in patients with Huntington

55 Electroencephalogram characterization revealed auditory

56 mesial temporal lobe seizures based on scalp electroencephalogram coherence features, lends weight to

57 istic regression classifiers that used scalp electroencephalogram coherence properties as input featu

58 ave a corresponding electrographic change on electroencephalogram consistent with hyperekplexia.

59 aneous circulation, initial rhythm, combined electroencephalogram/CT findings, Charlson Comorbidity I

60 address this by analyzing human intracranial electroencephalogram data recorded during 2 associative

61 Additionally, electroencephalogram data was captured to measure the pa

62 relationship between cascades of activity in electroencephalogram data, cognitive state, and reaction

63 bispectral index monitor was used to capture electroencephalogram data.

64 Neither hypoxia nor electroencephalogram-defined arousals alone increased ar

65 chanisms, and the low-frequency power in the electroencephalogram (delta power) during non-rapid eye

66 hypothesis that a protocol incorporating the electroencephalogram-derived bispectral index (BIS) is s

67 We compared distributions of electroencephalogram-derived cascades to reference power

68 make no recommendation concerning the use of electroencephalogram-derived parameters as a measure of

69 A detailed history, physical examination, electroencephalogram, developmental evaluation, Autism D

70 Here we studied sleep and electroencephalogram disturbances in a transgenic mouse

71 by analyzing event-related potentials in the electroencephalogram during a Go/NoGo task.

72 closely parallel those observed in the human electroencephalogram during propofol-induced unconscious

73 by measuring the level of randomness in the electroencephalogram during the prestimulus baseline per

74 edominately display bilaterally synchronized electroencephalogram (EEG) activity during slow-wave sle

75 k, many mouse models for AD exhibit abnormal electroencephalogram (EEG) activity in addition to the e

76 of arousal: sleep and wakefulness, cortical electroencephalogram (EEG) activity, acetylcholine (ACh)

77 by heart rate variability (HRV), or cortical electroencephalogram (EEG) activity.

78 medullary reticular formation, and implanted electroencephalogram (EEG) and ECG recording electrodes.

79 t budgerigars (Melopsittacus undulatus) with electroencephalogram (EEG) and electrooculogram (EOG) el

80 We used an innovative combination of electroencephalogram (EEG) and eye tracking while partic

81 Electroencephalogram (EEG) and functional imaging measur

82 continuous-valued neural recordings like the electroencephalogram (EEG) and local field potential (LF

83 itoring the patient's brain activity with an electroencephalogram (EEG) and manually titrating the an

84 produced predominantly delta activity in the electroencephalogram (EEG) and sedation.

85 Electroencephalogram (EEG) approaches may provide import

86 al activity, because these components of the electroencephalogram (EEG) are sensitive to basal forebr

87 even though these conditions elicit maximal electroencephalogram (EEG) arousal.

88 s, and slow-wave sleep with interhemispheric electroencephalogram (EEG) asymmetry, resembling the uni

89 Sleep was objectively quantified using electroencephalogram (EEG) before and after 2 weeks of t

90 ental delay, and epileptiform abnormality on electroencephalogram (EEG) before withdrawal.

91 e highly synchronous across the scalp in the electroencephalogram (EEG) but have low spatial coherenc

92 However, electroencephalogram (EEG) changes in the theta-frequenc

93 Research on electroencephalogram (EEG) characteristics associated wi

94 respond to sleep deprivation, the strongest electroencephalogram (EEG) correlate of sleep pressure,

95 the clinical, psychometric, and wake-/sleep-electroencephalogram (EEG) correlates of induced hyperam

96 We reviewed electroencephalogram (EEG) data and evaluated the electr

97 the current study using spectral analysis of electroencephalogram (EEG) data during sleep.

98 ough multivariate classification analyses of electroencephalogram (EEG) data.

99 Electroencephalogram (EEG) delta wave power was decrease

100 ngle neurons before, during, and after ictal electroencephalogram (EEG) discharges.

101 in alpha- and beta-range oscillations in the electroencephalogram (EEG) during observation of reachin

102 tral slow oscillations recorded in the scalp electroencephalogram (EEG) during rapid eye movement (RE

103 ance, brain biomarkers, and abnormalities in electroencephalogram (EEG) during the perioperative peri

104 In controls, the electroencephalogram (EEG) exhibited oscillatory activit

105 ate the acute effects of alcohol on cortical electroencephalogram (EEG) in adolescent (P36) and adult

106 The electroencephalogram (EEG) is a cornerstone of neurophys

107 The electroencephalogram (EEG) is a mainstay of clinical neu

108 Reduced background activity on electroencephalogram (EEG) is a sensitive marker of brai

109 The electroencephalogram (EEG) is a useful tool for imaging

110 Variation in resting electroencephalogram (EEG) is associated with common, co

111 The signature of slow-wave sleep in the electroencephalogram (EEG) is large-amplitude fluctuatio

112 s, and seizure burden during 48 h continuous electroencephalogram (EEG) monitoring.

113 y review the principles underlying processed electroencephalogram (EEG) monitors and recent studies v

114 lue of HFOs for developing epilepsy in scalp electroencephalogram (EEG) of children after a first unp

115 ent decline in the slow wave (delta, 1-4 Hz) electroencephalogram (EEG) of nonrapid eye movement (NRE

116 cting and classifying human emotions through electroencephalogram (EEG) or facial expressions.

117 taneous, ChR2, or forepaw stimulation-evoked electroencephalogram (EEG) or local field potential (LFP

118 locked signals superimposed upon the ongoing electroencephalogram (EEG) or result from phase-alignmen

119 eration depends upon theta rhythm, a 6-10 Hz electroencephalogram (EEG) oscillation that is modulated

120 Abnormal resting state electroencephalogram (EEG) oscillations are reported in

121 ected by frontal-midline theta-band (4-8 Hz) electroencephalogram (EEG) oscillations, strengthen the

122 Fast beta (20-28 Hz) electroencephalogram (EEG) oscillatory activity may be a

123 n comparable measurement scales, we recorded electroencephalogram (EEG) over medial frontal cortex of

124 l population are linked to variations in the electroencephalogram (EEG) over motor, pre-motor cortex

125 frog (Babina daunchina) using the optimized electroencephalogram (EEG) paradigm of mismatch negativi

126 EM sleep by an "activated," low-voltage fast electroencephalogram (EEG) paradoxically similar to that

127 es of unknown etiology with a characteristic electroencephalogram (EEG) pattern and developmental reg

128 al isolation on sleep, wakefulness and delta electroencephalogram (EEG) power during non-rapid eye mo

129 Increases in broadband cortical electroencephalogram (EEG) power in the gamma band (30-8

130 ergic neurons on the sleep-wake behavior and electroencephalogram (EEG) power spectrum using the phar

131 Clinical and demographic data, electroencephalogram (EEG) readings, and treatment respo

132 Dry electrode electroencephalogram (EEG) recording combined with wirel

133 We have conducted noninvasive electroencephalogram (EEG) recording of the brain neuron

134 During adulthood, electroencephalogram (EEG) recordings are used to distin

135 in the cerebral cortex fire irregularly and electroencephalogram (EEG) recordings display low-amplit

136 e simultaneous human intrathalamic and scalp electroencephalogram (EEG) recordings from eight volunte

137 ng an array of 12 behavioral assessments and electroencephalogram (EEG) recordings on freely-moving m

138 study was to use oscillatory changes in the electroencephalogram (EEG) related to informative cue pr

139 ndings, somatosensory evoked potentials, and electroencephalogram (EEG) results were recorded.

140 Electroencephalogram (EEG) showed generalized spike and

141 ormal baseline and social interaction-evoked electroencephalogram (EEG) signals, and an altered compo

142 The slow (<1 Hz) rhythm, the most important electroencephalogram (EEG) signature of non-rapid eye mo

143 Sleep spindles are characteristic electroencephalogram (EEG) signatures of stage 2 non-rap

144 global sleep-wake history, and reflected in electroencephalogram (EEG) slow wave activity (SWA, 0.5-

145 investigating characteristics of individual electroencephalogram (EEG) slow waves in young and elder

146 sleep homeostasis: slow-wave sleep (SWS) and electroencephalogram (EEG) slow-wave activity in non-rap

147 is work uses an innovative method to analyze electroencephalogram (EEG) spectral frequencies within s

148 acological treatments in rats to study which electroencephalogram (EEG) spectral properties are assoc

149 Electroencephalogram (EEG) stands out as a highly transl

150 al-network) baselines using both wet and dry electroencephalogram (EEG) systems.

151 ation approach for the analysis of the human electroencephalogram (EEG) to decode choice outcomes in

152 attention has turned to assessments based on electroencephalogram (EEG) to evaluate subtle post-concu

153 We used portable electroencephalogram (EEG) to simultaneously record brai

154 als that dietary CAF does not alter baseline electroencephalogram (EEG) total power, but significantl

155 Interictal electroencephalogram (EEG) was normal in all cases but 2

156 During session 2, an electroencephalogram (EEG) was recorded during cued reca

157 The electroencephalogram (EEG) was recorded from 19 scalp lo

158 The electroencephalogram (EEG) was recorded while human part

159 Intraoperative electroencephalogram (EEG) waveform suppression, often s

160 pe test), or seizure activity (measured with electroencephalogram (EEG)).

161 uring somatosensory evoked potentials (SEP), electroencephalogram (EEG), direct current (DC) potentia

162 t (NREM) sleep are characterized by distinct electroencephalogram (EEG), electromyogram (EMG), and au

163 = 6) were surgically implanted to record the electroencephalogram (EEG), electromyogram, and locomoto

164 f human activity, biological signals such as Electroencephalogram (EEG), Electrooculogram (EOG), Elec

165 rized by fast, desynchronized rhythms in the electroencephalogram (EEG), hippocampal theta activity,

166 This tuning was significantly weaker in electroencephalogram (EEG), suggesting that ECoG is more

167 2 female macaque monkeys, and also recorded electroencephalogram (EEG), while they viewed a variety

168 Non-invasive, electroencephalogram (EEG)-based brain-computer interfac

169 istence of a slow wave sleep (SWS)-promoting/electroencephalogram (EEG)-synchronizing center in the m

170 currence of synchronized oscillations in the electroencephalogram (EEG).

171 d using multivariate pattern analysis of the electroencephalogram (EEG).

172 d activity in the low-frequency bands in the electroencephalogram (EEG).

173 on and prediction of epileptic seizures with electroencephalogram (EEG).

174 ges in the beta-frequency band (15-29 Hz) of electroencephalogram (EEG).

175 ovel method of tagging memories in the human electroencephalogram (EEG).

176 tems approach to motivate an analysis of the electroencephalogram (EEG).

177 ain activity during sleep measured using the electroencephalogram (EEG).

178 ng it difficult to identify during a routine electroencephalogram (EEG).

179 premovement brain activity assessed with an electroencephalogram (EEG).

180 ry 6-12 months until they had an isoelectric electroencephalogram (EEG, attesting to a vegetative sta

181 ated markers of consciousness extracted from electroencephalograms (EEG), we computed autonomic cardi

182 (PB) complex in regulating electrocortical (electroencephalogram [EEG]) and behavioral arousal: lesi

183 tween manifest variables of the brain (e.g., electroencephalogram [EEG], functional MRI [fMRI]) and m

184 e recorded local field potentials (LFPs) and electroencephalograms (EEGs) from contralateral cortex.

185 We recorded electroencephalograms (EEGs) from unaffected and early s

186 Recently, through study of electroencephalograms (EEGs) in humans and local field p

187 nied by epilepsy and/or clearly epileptiform electroencephalograms (EEGs).

188 We recorded brainwaves (electroencephalograms [EEGs]) as people read word-by-wor

189 electrodes, frontofrontal and frontoparietal electroencephalogram electrodes and then recorded sleep/

190 selective N170 component at occipitotemporal electroencephalogram electrodes, which was still present

191 ype mice were surgically implanted to record electroencephalogram, electromyogram, locomotor activity

192 our previous examination of these mice using electroencephalogram/electromyogram (EEG/EMG) monitoring

193 hat affect sleep and wakefulness by using an electroencephalogram/electromyogram-based screen of rand

194 l Evoked Potential (VEP), a component of the electroencephalogram elicited by visual stimuli, and cog

195 t 12 and 24 hours after cardiac arrest using electroencephalogram epochs and outcome labels as inputs

196 The electroencephalogram equivalent of this appears to be a

197 ry epilepsy patients undergoing intracranial electroencephalogram evaluation.

198 Using high-density electroencephalogram/event-related potential (EEG/ERP) r

199 developed spontaneous and recurring abnormal electroencephalogram events consistent with progressive

200 l electroencephalogram assessment by trained electroencephalogram experts.

201 utine clinical interpretation of these scalp electroencephalograms failed to identify any of the scal

202 statistical association between quantitative electroencephalogram features and neurologic outcome cha

203 ts for an expanded selection of quantitative electroencephalogram features and whether accounting for

204 own that prognostic implications of some key electroencephalogram features change over time.

205 ogic outcome (good vs poor) and quantitative electroencephalogram features in 12-hour intervals using

206 Electroencephalogram features predict neurologic recover

207 essive diffuse sensory motor axonopathy, and electroencephalogram findings progressed from generalize

208 We analyzed 12,397 hours of electroencephalogram from 438 subjects.

209 Here we recorded intracranial electroencephalogram from DN and FPCN electrodes implant

210 ally, as the disease progressed, an abnormal electroencephalogram gamma activity (30-40 Hz) emerged i

211 erogeneous patterns, along with intracranial electroencephalogram gamma power changes, several minute

212 tral index (BIS), developed from a processed electroencephalogram, has been reported to decrease the

213 th a corresponding hypsarrhythmia pattern on electroencephalogram have never been reported.

214 igns of early severe anoxic changes on CT or electroencephalogram, higher creatinine levels and recei

215 milarity analysis (RSA) [17] to intracranial electroencephalogram (iEEG) data from ten presurgical ep

216 Here we recorded intracranial electroencephalogram (iEEG), local field potentials (LFP

217 n of the progression of changes in sleep and electroencephalogram in Huntington's disease has never b

218 By recording the electroencephalogram in the two experiments (N = 55; 24

219 The electroencephalogram is the standard method of diagnosis

220 e contingent negative variation (CNV) in the electroencephalogram, is the signature of the subjective

221 We recorded cortical electroencephalogram/local field potential (LFP) activit

222 ng, electroencephalogram or continuous video electroencephalogram, lumbar puncture, and genetic testi

223 ilepsy is localized through different modes (electroencephalogram, magnetic resonance imaging, etc) t

224 ene carriers suggest that alterations in the electroencephalogram may reflect underlying neuronal dys

225 everely decreased brain wave activity on the electroencephalogram, may be unintentionally induced by

226 Behavioural and electroencephalogram measures indicated that patients wi

227 omatic injector combined with 24-h video and electroencephalogram monitoring demonstrated significant

228 CT at admission and continuous electroencephalogram monitoring during the first 24 hour

229 In patients treated with hypothermia, electroencephalogram monitoring during the first 24 hrs

230 epsy unit in conjunction with 24-h video and electroencephalogram monitoring.

231 nt in 9 of 32 subjects (28%) with continuous electroencephalogram monitoring.

232 Electroencephalogram, neck electromyogram, blood pressur

233 from the mesial temporal lobe based on scalp electroencephalogram network connectivity measures.

234 = 9), and akinetic mutism (n = 5); a typical electroencephalogram occurred only once.

235 cidence of epileptiform abnormalities in the electroencephalogram of people with focal epilepsy.

236 Laboratory work, neuroimaging, electroencephalogram or continuous video electroencephal

237 alysis performed with patients without early electroencephalogram or CT changes still revealed better

238 We recorded electroencephalogram over and neural spiking across all

239 Burst suppression is an electroencephalogram pattern of globally symmetric alter

240 Burst suppression is an electroencephalogram pattern that consists of a quasi-pe

241 atio, 7.11; 95% CI, 5.01-10.08), unfavorable electroencephalogram patterns (false-positive rate, 0.07

242 gical outcome of low-voltage and isoelectric electroencephalogram patterns 24 hrs after resuscitation

243 In patients with favorable outcome, electroencephalogram patterns improved within 24 hours a

244 poor outcome of low-voltage and isoelectric electroencephalogram patterns was 68% (confidence interv

245 Visual classification of electroencephalogram patterns was performed in 5-minute

246 At 12 hours, normal or diffusely slowed electroencephalogram patterns were associated with good

247 In the electroencephalograms, periodic beta power reductions in

248 rease in slow-wave sleep, decreases in delta electroencephalogram power and evoked delta activity, an

249 occipitotemporal cortex and lower delta-band electroencephalogram power.

250 in the subthalamic nucleus (STN) to frontal electroencephalograms preceded the onset and followed th

251 rol without suppression-burst or isoelectric electroencephalogram predicted good functional recovery

252 The electroencephalogram (quantified using temporal brain sy

253 Electroencephalogram recorded over the left occipital co

254 epresentational similarity analysis to human electroencephalograms, recorded while female and male pa

255 Z) performed an auditory oddball task during electroencephalogram recording before and after auditory

256 tocol to induce plasticity in people in whom electroencephalogram recording is difficult.

257 We used direct intracranial electroencephalogram recordings from human epilepsy pati

258 Here, using electroencephalogram recordings of great frigatebirds (F

259 Electroencephalogram recordings of ongoing rhythmic brai

260 Chemogenetic activation experiments and electroencephalogram recordings pointed to glutamatergic

261 Electroencephalogram recordings were obtained from encod

262 magnetic resonance imaging, eye-tracking and electroencephalogram recordings.

263 r speckle contrast imaging with simultaneous electroencephalogram recordings.

264 However, early electroencephalogram recovery and ischemic neuronal inju

265 Alpha- and beta-band activity in the electroencephalogram reflected the logarithm of the like

266 seizures vs two or fewer, 1.08, 1.05-1.11), electroencephalogram results (epileptiform abnormality v

267 ergic PPT neurons suppressed lower-frequency electroencephalogram rhythms during NREM sleep.

268 ical outcome showed continuous, diffuse slow electroencephalogram rhythms, whereas this was never obs

269 by using trial-by-trial oscillations in the electroencephalogram's alpha band (8-14 Hz) collected fr

270 Here, we show that, as seen in electroencephalograms, SE induced by the muscarinic agon

271 ity, as assessed by quantitative analysis of electroencephalogram signal, and ischemic neuronal injur

272 Deep learning of electroencephalogram signals outperforms any previously

273 e we combined PET measures of Abeta and tau, electroencephalogram sleep recordings, and retrospective

274 Recent evidence suggests that electroencephalogram slow wave activity during sleep ref

275 cortisol and prolactin, and reduced resting electroencephalogram spectral power.

276 Electroencephalogram spike-triggered averages also showe

277 This is the first electroencephalogram study exploring the personal perspe

278 ayed robust in vivo activity in a sleep-wake electroencephalogram (sw-EEG) assay consistent with mGlu

279 Here, we used a specially designed dual-electroencephalogram system and the conceptual framework

280 Of the 26 patients studied, 5 patients had electroencephalograms that showed periodic discharges co

281 Devices using the electroencephalogram to estimate anesthetic depth have b

282 This was followed by a change in the child's electroencephalogram to the chaotic pattern of hypsarrhy

283 at this knowledge can guide their use of the electroencephalogram to track more accurately the brain

284 Wireless electroencephalogram transmitters were implanted into 23

285 The electroencephalogram was abnormal in 15 patients and cer

286 Electroencephalogram was measured while older and younge

287 Continuous electroencephalogram was recorded during the first 3 day

288 Continuous electroencephalogram was recorded during the first 5 day

289 performed a category decision task whilst an electroencephalogram was recorded.

290 ed at the natural rate of signing, while the electroencephalogram was recorded.

291 From the electroencephalogram, we extracted 52 features that quan

292 neonatal epilepsy with suppression bursts on electroencephalogram, we have expanded the phenotypic sp

293 We found that sleep and electroencephalogram were already significantly disrupte

294 us functional magnetic resonance imaging and electroencephalogram were recorded.

295 Musicians' electroencephalograms were recorded during the task of a

296 Cortical electroencephalograms were recorded in freely moving rat

297 Electroencephalograms were recorded while humans listene

298 ormed a visuospatial memory task while their electroencephalograms were recorded.

299 In this retrospective analysis of electroencephalograms were to identify a surrogate bioma

300 Electroencephalograms with simultaneous functional MRI a