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

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

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

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

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

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

10 Multivariate classification of electroencephalographic activity allowed us to track sel

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

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

19 ons of TRN activity can account for abnormal electroencephalographic activity observed in patients, n

20 We conclude that electroencephalographic activity shows detectable change

21 The second experiment assessed brain electroencephalographic activity using telemetrically mo

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

23 arning and decrease the power of hippocampal electroencephalographic activity.

24 us monitoring of arterial blood pressure and electroencephalographic activity.

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

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

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

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

29 Finally, during deeper sleep stages, electroencephalographic analysis revealed a more homogen

30 Electroencephalographic analysis revealed that alteratio

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

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

33 Electroencephalographic and electro-oculographic activit

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

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

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

37 This study combines source-localized electroencephalographic and magnetoencephalographic (EME

38 models of these measures were tested against electroencephalographic and magnetoencephalographic brai

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

40 Seizures were monitored by electroencephalographic and video recordings.

41 Electroencephalographic assessment of Dgkd mutant mice r

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

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

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

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

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

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

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

49 Striking electroencephalographic changes were observed concomitan

50 Ictal epileptiform electroencephalographic changes were present in three ca

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

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

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

54 Electroencephalographic-correlated functional MRI may pr

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

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

57 In addition, topographic electroencephalographic correlation maps were calculated

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

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

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

61 l connectivity and dynamics, we analyzed the electroencephalographic data gathered from adult male Sp

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

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

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

65 Electroencephalographic data were recorded from 19 SZ an

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

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

68 patterns of brain activity observed in human electroencephalographic data.

69 interictal markers observed in intracerebral electroencephalographic data.

70 essfully predicting simulation and empirical electroencephalographic data.

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

72 Electroencephalographic (EEG) "microstates" are canonica

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

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

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

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

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

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

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

80 We recorded electroencephalographic (EEG) activity in listeners atte

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

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

83 onventional time-frequency analysis of human electroencephalographic (EEG) activity, we previously sh

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

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

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

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

88 We analyzed intracortical electroencephalographic (EEG) and multimodality physiolo

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

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

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

92 itory steady-state response (ASSR), a robust electroencephalographic (EEG) biomarker that is increasi

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

94 TEMENT Sawtooth waves (STW) present as scalp electroencephalographic (EEG) bursts of slow waves contr

95 Electroencephalographic (EEG) coherence represents a pro

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

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

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

99 Using time-resolved decoding of electroencephalographic (EEG) data, we demonstrate that

100 as frequency bands or regions of interest in electroencephalographic (EEG) data.

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

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

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

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

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

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

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

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

109 Using an electroencephalographic (EEG) marker of motor preparatio

110 mes after prolonged post-CA coma to identify electroencephalographic (EEG) markers of their recovery

111 A subset of adults (n = 80) underwent electroencephalographic (EEG) measurements while watchin

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

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

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

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

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

122 Electroencephalographic (EEG) oscillations regulate the

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

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

125 Electroencephalographic (EEG) power spectral analysis re

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

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

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

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

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

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

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

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

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

135 Using electroencephalographic (EEG) recordings over the iS1 an

136 Electroencephalographic (EEG) recordings revealed more f

137 Electromyographic (EMG) and electroencephalographic (EEG) recordings were used to qu

138 ed by clinical assessment, review of charts, electroencephalographic (EEG) recordings, and parental i

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

140 actices in magnetoencephalographic (MEG) and electroencephalographic (EEG) research, recently develop

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

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

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

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

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

146 n brain state analysis via classification of electroencephalographic (EEG) signatures.

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

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

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

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

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

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

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

154 Cortical electroencephalographic (EEG) wave activities were also

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

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

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

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

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

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

161 Specifically, fast electroencephalographic evoked responses were more stron

162 The clinical and electroencephalographic features of a canine generalized

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

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

165 Electroencephalographic findings are background slowing

166 Abnormal electroencephalographic findings have been reported in u

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

168 neurological findings, aphasia, and abnormal electroencephalographic findings.

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

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

171 Electroencephalographic gamma band oscillations (GBOs) i

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

173 nts, and that (2R,6R)-HNK increased cortical electroencephalographic gamma power.

174 Electroencephalographic generalized spike and wave disch

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

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

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

178 eizure network evolutions using intracranial electroencephalographic (iEEG) recordings of over 500 se

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

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

181 indings highlight the importance of detailed electroencephalographic interpretation using standardize

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

183 At the electroencephalographic level, this effect of task type

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

185 The electroencephalographic/magnetoencephalographic (EEG/MEG

186 at occur if stimulation is timed relative to electroencephalographic markers of motor cortical activa

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

188 were robustly detected by early quantitative electroencephalographic markers.

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

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

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

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

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

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

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

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

197 Bedside electroencephalographic methods may corroborate more exp

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

199 Electroencephalographic mismatch negativity responses, w

200 anaesthetic concentrations using a processed electroencephalographic monitor.

201 Processed electroencephalographic monitoring has tremendous promis

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

203 Continuous electroencephalographic monitoring reveals frequent nonc

204 Two hundred children underwent continuous electroencephalographic monitoring.

205 rgoing prolonged wide bandwidth intracranial electroencephalographic monitoring.

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

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

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

209 Electroencephalographic oscillations and electrooculogra

210 we explore commonalities and differences in electroencephalographic oscillatory spatial synchronisat

211 dependent evolution in seizure semiology and electroencephalographic pattern.

212 Periodic and rhythmic electroencephalographic patterns have been associated wi

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

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

215 matosensory physiology with vibration-evoked electroencephalographic potentials.

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

217 The electroencephalographic power of slow-wave activity (SWA

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

219 stimulus-induced phase resetting of multiple electroencephalographic processes.

220 Electroencephalographic reactivity (EEG-R) might be a re

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

222 ables wireless and programmable intracranial electroencephalographic recording and electrical stimula

223 Continuous electroencephalographic recording for 2 hours.

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

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

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

227 Through comprehensive video- electroencephalographic recordings and a battery of beha

228 Using scalp electroencephalographic recordings and event-related fun

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

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

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

232 Electroencephalographic recordings from 20 subjects were

233 We reviewed electroencephalographic recordings from 4772 critically

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

235 Electroencephalographic recordings from the developing h

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

237 Employing high-density electroencephalographic recordings in conjunction with i

238 Electroencephalographic recordings in hAPP mice revealed

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

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

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

242 Electroencephalographic recordings revealed abnormal spi

243 Crucially, simultaneous midline frontal electroencephalographic recordings revealed an increase

244 Electroencephalographic recordings showed that tFUS sign

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

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

247 Electroencephalographic recordings were normal prior to

248 Continuous electroencephalographic recordings were performed 7 days

249 Ventilatory and electroencephalographic recordings were performed during

250 Video/electroencephalographic recordings were performed to ass

251 Electroencephalographic recordings were visually classif

252 Intracerebral electroencephalographic recordings with channels display

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

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

255 Compared with invasive video electroencephalographic recordings, lateralization accur

256 In human electroencephalographic recordings, spatial attention to

257 Using intracranial electroencephalographic recordings, we found that ripple

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 Human scalp electroencephalographic rhythms, indicative of cortical

267 Interestingly, slowed ECS diffusion preceded electroencephalographic seizure activity.

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

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

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

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

272 Oscillatory power analysis of electroencephalographic signals showed that illusory han

273 Cortical electroencephalographic signals were also recorded from

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

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

276 , this study assesses regional variations of electroencephalographic sleep activity and creates the f

277 hat is known about the effects of opioids on electroencephalographic sleep in humans and in animal mo

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