ライフサイエンスコーパス: electroencephalographic

1 mice exhibited significantly elevated brain electroencephalographic (1-4 Hz) activity in response to

2 izures, language dysfunction, psychosis, and electroencephalographic abnormalities were significantly

3 recognized by cognitive and motor deficits, electroencephalographic abnormalities, and seizures.

4 Disrupting the gabrb3 gene in mice produces electroencephalographic abnormalities, seizures, and beh

5 on abnormalities in five were ipsilateral to electroencephalographic abnormalities; one had normal el

6 Higher levels of right-prefrontal electroencephalographic activation and greater magnitude

7 t epileptic patients, we report a pattern of electroencephalographic activation during REM sleep simi

8 C hyperactivity was associated with cortical electroencephalographic activation that was characterize

9 For coherence analysis electroencephalographic activity (EEG) over motor areas

10 dical and inferred inputs by contrasting the electroencephalographic activity after saccades to a sti

11 t a noninvasive BCI that uses scalp-recorded electroencephalographic activity and an adaptive algorit

12 th amplitude and phase of rhythmic slow-wave electroencephalographic activity are physiological corre

13 ter stimulation was predicted by spontaneous electroencephalographic activity at that specific site j

14 caused dose-related sedation and suppressed electroencephalographic activity but did not result in r

15 rapidly than other mammals, switch cortical electroencephalographic activity from one state to anoth

16 We recorded intracranial electroencephalographic activity from participants chron

17 Plasma lorazepam concentrations and electroencephalographic activity in the 13- to 30-Hz ran

18 gitudinal characterization of sleep/wake and electroencephalographic activity in the R6/2 mouse model

19 ly, for the hand contralateral to the anode, electroencephalographic activity induced by motor imager

20 e for the MR in the desynchronization of the electroencephalographic activity of the hippocampus and

21 We conclude that electroencephalographic activity shows detectable change

22 The second experiment assessed brain electroencephalographic activity using telemetrically mo

23 Theta oscillations (electroencephalographic activity with a frequency of 4-8

24 europsychiatric history, abnormal interictal electroencephalographic activity, and encephalitis.

25 arning and decrease the power of hippocampal electroencephalographic activity.

26 us monitoring of arterial blood pressure and electroencephalographic activity.

27 e-like, globally 'activated', high-frequency electroencephalographic activity.

28 dently of any stimulus and of any paroxysmal electroencephalographic activity.

29 f specific HFO frequency bands could improve electroencephalographic analyses made before epilepsy su

30 ast As We Envision Our Future November 1938: Electroencephalographic Analyses of Behavior Problem Chi

31 Electroencephalographic analysis revealed that alteratio

32 demonstrate the sensitivity of quantitative electroencephalographic analysis to identify early patho

33 Thus, extensive hippocampal electroencephalographic and behavioral monitoring failed

34 on with hypoxia on postnatal day 7, cortical electroencephalographic and behavioral seizures were rec

35 Electroencephalographic and electro-oculographic activit

36 ely behaving rats (n = 32), instrumented for electroencephalographic and electromyographic recording,

37 fiber (rMF) sprouting as well as telemetric electroencephalographic and electrophysiological recordi

38 o seen in the timing of cerebrospinal fluid, electroencephalographic and in the rather infrequent cer

39 emain during sleep, we recorded simultaneous electroencephalographic and magnetoencephalographic sign

40 Seizures were monitored by electroencephalographic and video recordings.

41 ard criteria; however, visually identifiable electroencephalographic arousals clearly have a greater

42 Electroencephalographic assessment of Dgkd mutant mice r

43 y, prior neurodevelopmental status, sex, and electroencephalographic background category.

44 loss tightly correlates with behavioral and electroencephalographic biomarkers of elevated sleep nee

45 ombined mental chronometry with two specific electroencephalographic brain responses that are directl

46 Find the optimal continuous electroencephalographic (CEEG) monitoring duration for s

47 ll minimally conscious patients showed clear electroencephalographic changes associated with decrease

48 r disability in the infants with less severe electroencephalographic changes at entry (no benefit in

49 The data indicate that substantial electroencephalographic changes can be identified in ass

50 d the existence of respiratory cycle-related electroencephalographic changes in each of 38 adult pati

51 Striking electroencephalographic changes were observed concomitan

52 Ictal epileptiform electroencephalographic changes were present in three ca

53 at entry (no benefit in those with advanced electroencephalographic changes).

54 flickering light, manifesting as particular electroencephalographic changes, with or without seizure

55 xy were also noted while rats maintained the electroencephalographic characteristics of wakefulness.

56 l midline induced transient interhemispheric electroencephalographic coherence in the alpha band, whi

57 ually increasing intracranial pressure under electroencephalographic control.

58 Electroencephalographic-correlated functional MRI may pr

59 pplication in the field of epilepsy surgery (electroencephalographic-correlated functional MRI).

60 -specific flexion spasms were determined and electroencephalographic correlates recorded.

61 In addition, topographic electroencephalographic correlation maps were calculated

62 Here, we report that, by behavioral and electroencephalographic criteria, orexin knockout mice e

63 Seizure control was assessed by electroencephalographic criteria.

64 native network architectures, based on human electroencephalographic data acquired during an auditory

65 vious investigators, including work on human electroencephalographic data and research reported by St

66 ignment and time-frequency decomposition) to electroencephalographic data collected in two experiment

67 signatures of such networks in high-density electroencephalographic data from 32 patients with chron

68 We performed spectral analysis on electroencephalographic data from a central lead for bot

69 een these scenarios, we analyze intracranial electroencephalographic data obtained directly from huma

70 ower from current-source-density-transformed electroencephalographic data recorded during a Flanker t

71 Independent review of clinical and electroencephalographic data supported the diagnosis of

72 Electroencephalographic data were recorded from 19 SZ an

73 orally cued target-response experiment while electroencephalographic data were recorded.

74 ived from both channel and source decomposed electroencephalographic data, and behavioral performance

75 essfully predicting simulation and empirical electroencephalographic data.

76 patterns of brain activity observed in human electroencephalographic data.

77 interictal markers observed in intracerebral electroencephalographic data.

78 the murine visual cortex as a model for the electroencephalographic development of fetal humans.

79 riences, and global modulation during 200 Hz electroencephalographic (EEG) "ripples" on pattern reins

80 al learning on the sleep-wake state-specific electroencephalographic (EEG) activities of the basolate

81 orders, indexed by persistent high-frequency electroencephalographic (EEG) activity (>30 Hz); a candi

82 harmacokinetics of sevoflurane, epileptiform electroencephalographic (EEG) activity and awareness in

83 icular infusion, on hippocampal and cortical electroencephalographic (EEG) activity and hippocampal b

84 Analyses of electroencephalographic (EEG) activity at temporal-corti

85 hypothesized that the genetic regulation of electroencephalographic (EEG) activity during non-rapid

86 Evidence suggests that electroencephalographic (EEG) activity extends far beyon

87 We recorded electroencephalographic (EEG) activity in listeners atte

88 Recent findings link fronto-temporal gamma electroencephalographic (EEG) activity to conscious awar

89 Here we recorded human electroencephalographic (EEG) activity while participant

90 been variable and merit characterization of electroencephalographic (EEG) activity.

91 ults in the desynchronization of hippocampal electroencephalographic (EEG) activity.

92 notype (male or female), were implanted with electroencephalographic (EEG) and electromyographic (EMG

93 ning affects sleep-wake states by performing electroencephalographic (EEG) and electromyographic reco

94 pisode) compared with healthy controls using electroencephalographic (EEG) and magnetoencephalographi

95 We analyzed intracortical electroencephalographic (EEG) and multimodality physiolo

96 In the absence of a detectable electroencephalographic (EEG) arousal, severe reductions

97 study examines the relation between frontal electroencephalographic (EEG) asymmetry and cortisol (ba

98 we showed that the postmovement increase in electroencephalographic (EEG) beta power over the sensor

99 rrest (CA) is associated with evolution from electroencephalographic (EEG) burst-suppression to conti

100 oss-bicoherence) were computed on 62-channel electroencephalographic (EEG) data during a paradigm in

101 We collected electroencephalographic (EEG) data from 52 children with

102 We report behavioral and electroencephalographic (EEG) data from a group of socia

103 Sleep deprivation (SD) results in increased electroencephalographic (EEG) delta power during subsequ

104 of GHRH to the surface of the cortex changes electroencephalographic (EEG) delta power.

105 Slow waves are the most prominent electroencephalographic (EEG) feature of sleep.

106 nical factors and time-to-event emergence of electroencephalographic (EEG) findings over 72 hours.

107 asure of individual face discrimination with electroencephalographic (EEG) frequency tagging followin

108 Sleep spindles are an electroencephalographic (EEG) hallmark of non-rapid eye

109 ramipexole suppressed PLMS without affecting electroencephalographic (EEG) instability (CAP) and arou

110 thetic drugs, can induce both behavioral and electroencephalographic (EEG) manifestations of excitati

111 Using an electroencephalographic (EEG) marker of motor preparatio

112 mg of S44819 on electromyographic (EMG) and electroencephalographic (EEG) measures of cortical excit

113 -801 treatments to antagonize behavioral and electroencephalographic (EEG) measures of sensitized wit

114 We used conventional electroencephalographic (EEG) measures to assess a cohor

115 psychiatric disorders, widely studied using electroencephalographic (EEG) methods in humans and mode

116 hese patients were selected for intracranial electroencephalographic (EEG) monitoring and epilepsy su

117 induce seizures for 45 min during continuous electroencephalographic (EEG) monitoring, after which di

118 hemistry, electron microscopy (EM), or video-electroencephalographic (EEG) monitoring.

119 Radiotracer injection occurred during video-electroencephalographic (EEG) monitoring.

120 ult and often requires invasive intracranial electroencephalographic (EEG) monitoring.

121 Electroencephalographic (EEG) mu suppression in the 8-13

122 ensive thalamic lesions had little effect on electroencephalographic (EEG) or behavioral measures of

123 In the present study, we compared local electroencephalographic (EEG) oscillations and the posit

124 Sleep spindles are synchronized 11-15 Hz electroencephalographic (EEG) oscillations predominant d

125 Electroencephalographic (EEG) oscillations regulate the

126 he dynamic changes in the amplitude of scalp electroencephalographic (EEG) oscillations to self-paced

127 pothesis that there are readily classifiable electroencephalographic (EEG) phenotypes of early postan

128 ivation of lateralized alpha/beta (10-25 Hz) electroencephalographic (EEG) power decreases in the vis

129 Electroencephalographic (EEG) power spectral analysis re

130 ) release in the prefrontal cortex, cortical electroencephalographic (EEG) power, and time to waking

131 magnetic stimulation (TMS) with simultaneous electroencephalographic (EEG) recording in 8 patients wi

132 ictal interictal continuum, are pervasive on electroencephalographic (EEG) recordings after acute bra

133 arges (SIRPIDs) sometimes found on prolonged electroencephalographic (EEG) recordings are uncertain.

134 we used pattern similarity analysis to scalp electroencephalographic (EEG) recordings during a sequen

135 itative studies of long digital intracranial electroencephalographic (EEG) recordings from patients b

136 wed a larger positive (P3f) ramp in averaged electroencephalographic (EEG) recordings from the forehe

137 present study, we aimed to investigate depth electroencephalographic (EEG) recordings in a large coho

138 Importantly, in vivo electroencephalographic (EEG) recordings in adult Ca(V)2

139 Using electroencephalographic (EEG) recordings over the iS1 an

140 Electroencephalographic (EEG) recordings revealed more f

141 rmality in each case; nevertheless, based on electroencephalographic (EEG) recordings, ictal onsets a

142 connectivity at rest, based on high-density electroencephalographic (EEG) recordings.

143 cent observations that other features of the electroencephalographic (EEG) response correlate with pa

144 In particular, why certain electroencephalographic (EEG) rhythms are linked to memo

145 emporal response functions," in which unique electroencephalographic (EEG) signals corresponding to t

146 ology for assessing causal connectivity from electroencephalographic (EEG) signals using Granger caus

147 ferent stages of sleep, marked by particular electroencephalographic (EEG) signatures, have been link

148 dely described and routinely aimed to invoke electroencephalographic (EEG) silence in anticipation of

149 tic arch; HCA established after 5 minutes of electroencephalographic (EEG) silence in neuromonitored

150 gment of temporal durations are reflected in electroencephalographic (EEG) slow brain potentials, as

151 ortex induces state-dependent asymmetries in electroencephalographic (EEG) slow wave activity during

152 al and parietal TMS elicited a low-amplitude electroencephalographic (EEG) slow wave corresponding to

153 mentally demonstrated in concurrent fMRI and electroencephalographic (EEG) studies conducted in a rat

154 peared to suggest that postictal generalized electroencephalographic (EEG) suppression (PGES) and apn

155 By using a TMS-compatible high-density electroencephalographic (EEG) system, we also found that

156 Cortical electroencephalographic (EEG) wave activities were also

157 (MVCs) with simultaneous recordings of scalp electroencephalographic (EEG), handgrip force, and finge

158 We discuss seizure characteristics, electroencephalographic (EEG), magnetic resonance imagin

159 Six patients had prolonged electroencephalographic (EEG)/video monitoring, 10 patie

160 concentration was related to pharmacodynamic electroencephalographic effect via the sigmoid Emax mode

161 Plots of pharmacodynamic electroencephalographic effect vs. plasma lorazepam conc

162 ielded the following mean estimates: maximum electroencephalographic effect, 12.7% over baseline; 50%

163 Electroencephalographic effects were maximal 0.5 hr afte

164 e (2R,6R)-HNK enantiomer exerts behavioural, electroencephalographic, electrophysiological and cellul

165 WS or MCS in a large group of patients using electroencephalographic event-related potentials (ERPs)

166 study investigates the relationship between electroencephalographic evidence for perceptual/cognitiv

167 ffusion-weighted imaging, and no clinical or electroencephalographic evidence of seizure around the t

168 Specifically, fast electroencephalographic evoked responses were more stron

169 The clinical and electroencephalographic features of a canine generalized

170 oninvasive BCI identifies and focuses on the electroencephalographic features that the person is best

171 progressive dementia, myoclonus and typical electroencephalographic findings (intermittent rhythmic

172 Electroencephalographic findings are background slowing

173 Abnormal electroencephalographic findings have been reported in u

174 zure types and were associated with abnormal electroencephalographic findings in 5 individuals, all o

175 inal conditions, epilepsy and other abnormal electroencephalographic findings, and sleep problems.

176 neurological findings, aphasia, and abnormal electroencephalographic findings.

177 typical handedness, a left perisylvian ictal electroencephalographic focus, and a lesion in left ante

178 ests that in individuals with schizophrenia, electroencephalographic frontal fast oscillations are re

179 Electroencephalographic gamma band oscillations (GBOs) i

180 nt with ketamine-induced increases in HC-PFC electroencephalographic gamma band power, possibly refle

181 Electroencephalographic generalized spike and wave disch

182 Buddhist practitioners self-induce sustained electroencephalographic high-amplitude gamma-band oscill

183 rTMS effects were analyzed with intracranial electroencephalographic (iEEG) data and video-captured b

184 ge group of patients undergoing intracranial electroencephalographic (iEEG) monitoring for epilepsy.

185 Recent intracranial electroencephalographic (iEEG) work has shown that hippo

186 d in somatomotor, respiratory, heart rate or electroencephalographic indications of late-developing (

187 indings highlight the importance of detailed electroencephalographic interpretation using standardize

188 rtex activation was recorded by means of the electroencephalographic lateralized readiness potential

189 At the electroencephalographic level, this effect of task type

190 ], frontal [23%], more than one type [29%]); electroencephalographic localization (to occipital [17%]

191 eurons are evident in electrocorticographic, electroencephalographic, magnetoencephalographic, and lo

192 The electroencephalographic/magnetoencephalographic (EEG/MEG

193 an brain that can be sensitively detected by electroencephalographic markers of sleep homeostasis.

194 were robustly detected by early quantitative electroencephalographic markers.

195 Thus, the objective electroencephalographic measure may possibly be a better

196 this hypothesis stems from studies employing electroencephalographic measurements during the processi

197 MAIN OUTCOME MEASURES: High-density electroencephalographic measurements of transcranial mag

198 Using high-density electroencephalographic measurements, we examined the sp

199 e SI can be readily calculated from standard electroencephalographic measurements.

200 gonists can prevent both the behavioural and electroencephalographic measures of seizures in several

201 These dramatic alterations in quantitative electroencephalographic measures were apparent from our

202 We show, using independent electroencephalographic measures, that normal drowsiness

203 Bedside electroencephalographic methods may corroborate more exp

204 an intensity oddball paradigm can elicit an electroencephalographic mismatch negativity (MMN) respon

205 Processed electroencephalographic monitoring has tremendous promis

206 To this end, long-term continuous electroencephalographic monitoring of vigilance states w

207 Continuous electroencephalographic monitoring reveals frequent nonc

208 detected either clinically or by continuous electroencephalographic monitoring, were associated with

209 Two hundred children underwent continuous electroencephalographic monitoring.

210 rtical origin underwent chronic intracranial electroencephalographic monitoring.

211 rgoing prolonged wide bandwidth intracranial electroencephalographic monitoring.

212 Thus, we used quantitative electroencephalographic, neuropsychological, blood analy

213 nset or duration of epilepsy and lateralized electroencephalographic or magnetic resonance imaging as

214 ral transcranial magnetic stimulation-evoked electroencephalographic oscillation parameters, includin

215 Electroencephalographic oscillations and electrooculogra

216 dependent evolution in seizure semiology and electroencephalographic pattern.

217 Periodic and rhythmic electroencephalographic patterns have been associated wi

218 A suite of complex electroencephalographic patterns of sleep occurs in mamm

219 reserved behavioural sleep was observed, the electroencephalographic patterns remained virtually unch

220 matosensory physiology with vibration-evoked electroencephalographic potentials.

221 ted with a graded improvement in recovery of electroencephalographic power after 7 days recovery, fro

222 The electroencephalographic power of slow-wave activity (SWA

223 rthermore, the tendency for sigma (13-15 Hz) electroencephalographic power to vary with the respirato

224 stimulus-induced phase resetting of multiple electroencephalographic processes.

225 n-line transcranial magnetic stimulation and electroencephalographic recording (TMS-EEG) to test whet

226 Continuous electroencephalographic recording for 2 hours.

227 eration of the benefit and risks of invasive electroencephalographic recording in surgical evaluation

228 electrodes, enabling non-invasive long-term electroencephalographic recording.

229 R6/2 and wild-type mice were implanted for electroencephalographic recordings along with telemetry

230 Using scalp electroencephalographic recordings and event-related fun

231 istribution of phase-lock intervals in human electroencephalographic recordings are increasingly disa

232 standard was the interpretation of the video-electroencephalographic recordings by experts blinded to

233 Non-invasive electroencephalographic recordings can currently be used

234 to the neonatal brain, and because prolonged electroencephalographic recordings during treatment have

235 Electroencephalographic recordings from 20 subjects were

236 We reviewed electroencephalographic recordings from 4772 critically

237 vent detectors in physiological data such as electroencephalographic recordings from polysomnography.

238 Electroencephalographic recordings from the developing h

239 most BCI systems were based on non-invasive electroencephalographic recordings from the surface of t

240 Employing high-density electroencephalographic recordings in conjunction with i

241 Electroencephalographic recordings in hAPP mice revealed

242 itive transcranial magnetic stimulation with electroencephalographic recordings in humans, we perturb

243 ation entrainment, we analyzed intracerebral electroencephalographic recordings obtained during intra

244 We showed that in cortical electroencephalographic recordings of freely moving Kv3.

245 Electroencephalographic recordings revealed abnormal spi

246 Crucially, simultaneous midline frontal electroencephalographic recordings revealed an increase

247 Electroencephalographic recordings showed that tFUS sign

248 We used source reconstructed magneto- and electroencephalographic recordings to characterize the d

249 visual stimulus (S2) was, while high-density electroencephalographic recordings were acquired.

250 Continuous electroencephalographic recordings were performed 7 days

251 Ventilatory and electroencephalographic recordings were performed during

252 Video/electroencephalographic recordings were performed to ass

253 Electroencephalographic recordings were visually classif

254 xploration of theta dynamics (using repeated electroencephalographic recordings) as an epilepsy bioma

255 behavioral abnormalities using observation, electroencephalographic recordings, acute slice electrop

256 Compared with invasive video electroencephalographic recordings, lateralization accur

257 In human electroencephalographic recordings, spatial attention to

258 physiology, optogenetics, and in vivo video electroencephalographic recordings.

259 izure per day for 8 d followed by 24 h video-electroencephalographic recordings.

260 This abnormal electroencephalographic response has been associated wit

261 This study assessed the quantitative electroencephalographic response to a cerebral nitric ox

262 tes to a greater seizure propensity and poor electroencephalographic response to GABAergic anticonvul

263 Electroencephalographic responses linked with this diffe

264 ented as the level of similarity between the electroencephalographic responses of different viewers.

265 We record electroencephalographic responses to expected and unexpe

266 ory gating that can be assessed by averaging electroencephalographic responses to multiple pairs of a

267 Human scalp electroencephalographic rhythms, indicative of cortical

268 Interestingly, slowed ECS diffusion preceded electroencephalographic seizure activity.

269 power changes, several minutes preceding the electroencephalographic seizure onset, supporting the pr

270 phin) agonists prevented the behavioural and electroencephalographic seizures produced by convulsant

271 at upregulation of ADK and spontaneous focal electroencephalographic seizures were both restricted to

272 phrenia from outpatient clinics completed an electroencephalographic session for MMN, magnetic resona

273 et of event-related synchronization (ERS) of electroencephalographic signals in the 20-Hz band, and s

274 Oscillatory power analysis of electroencephalographic signals showed that illusory han

275 Cortical electroencephalographic signals were also recorded from

276 hysical modeling and model-based analysis of electroencephalographic signals.

277 ton's disease to determine whether analogous electroencephalographic 'signatures' could be identified

278 depressed patients demonstrate increases in electroencephalographic sleep measures of REM, we hypoth

279 Using high-density electroencephalographic sleep recordings, 11 patients wi

280 (SWS), the deepest sleep stage hallmarked by electroencephalographic slow oscillations (SOs), appears

281 sleep pattern and a homoeostatic decline of electroencephalographic slow wave activity through the n

282 leep homeostasis, including slow-wave sleep, electroencephalographic slow-wave activity (0.5-4.5 Hz),

283 Simultaneously, electroencephalographic slow-wave activity (SWA) was sig

284 circadian amplitude of plasma melatonin and electroencephalographic slow-wave activity.

285 sing, reflected by brain network dynamics on electroencephalographic sources.

286 First, we show that, regardless of electroencephalographic spike-waves, most seizures are r

287 Contrasting averaged ChR2-evoked electroencephalographic, spinal (ChR2 evoked potential),

288 In contrast to the previous electroencephalographic studies, functional magnetic res

289 A magnetic resonance imaging and electroencephalographic study of patients was performed

290 ompleted a dual-solution learning task while electroencephalographic (Study I) or fMRI measurements (

291 uiring prolonged drug-induced coma or severe electroencephalographic suppression portends better prog

292 0 normal-hearing subjects using a 16-channel electroencephalographic system.

293 Despite more frequent use of video-electroencephalographic telemetry and polysomnography, t

294 , which includes medical records, results of electroencephalographic tests, and interviews with famil

295 rhage differentially influences quantitative electroencephalographic variables depending on the patie

296 Quantitative electroencephalographic variables, such as alpha/delta f

297 (handling and open field), continuous video-electroencephalographic (vEEG) monitoring, and slice ele

298 severe brain injuries were evaluated with an electroencephalographic vibrotactile attention task desi

299 The HCs and SZs had comparable HFS-driven electroencephalographic visual steady state responses.

300 Recent electroencephalographic work in humans and microelectrod