ライフサイエンスコーパス: MEG

1 MEG analysis was completed using a synthetic aperture ma

2 MEG data revealed that 7-mo-old infants activate auditor

3 MEG data showed that the amplitude of MBS reduction corr

4 MEG data were analyzed for underlying oscillatory source

5 MEG data were analyzed in the 25-150 Hz frequency range

6 MEG data were digitized at 12,000 Hz.

7 MEG decoding results revealed that scene-based facilitat

8 MEG detected an early, transient face-selective response

9 MEG has the advantage, over fMRI for example, that it is

10 MEG in passive listeners and those actively detecting ap

11 MEG is useful to detect early synaptic dysfunction assoc

12 MEG power spectra revealed a rich set of significant osc

13 MEG recordings of brain activity were taken before and a

14 MEG revealed that, during phase-2 initial conditioning,

15 MEG was measured from nine healthy subjects as they view

16 MEG was recorded during an auditory verb generation task

17 MEG-3 is an intrinsically disordered protein that binds

18 MEG-based imaging holds potential as a noninvasive bioma

19 Beagles randomly received 0.3% MEG, 0.3% GED, or placebo (vehicle) gels, topically appl

20 , (2) schizophrenia, (3) 40 Hz, (4) EEG, (5) MEG, and (6) steady state response.

21 udgments, whereas the reverse was true for a MEG index of familiarity.

22 In addition, MEG and GED gels significantly reduced gingival bleeding

23 All MEG data was imaged in the time-frequency domain using b

24 Although MEG holds great promise, it has proven challenging to im

25 An MEG index of the process of recollection was larger for

26 hmic TMS bursts to directly interact with an MEG-identified parietal alpha-oscillator, activated by a

27 We demonstrate that MEG-1 and MEG-3 are substrates of the kinase MBK-2/DYRK and the ph

28 t empirical evidence based on behavioral and MEG data that global information encoded at high levels

29 e demonstrate such an interaction in EEG and MEG recordings of task-free human brain activity.

30 Here we used concurrent EEG and MEG recordings to determine how sensory information and

31 trode and sources-space responses in EEG and MEG studies.

32 lectromagnetic responses recorded by EEG and MEG to an auditory paradigm in which we factorially cros

33 EEG and MEG were recorded while participants reported the spatia

34 lectrophysiological methods, such as EEG and MEG.

35 veal important new insights into how ERY and MEG lineages arise from a common bipotential progenitor

36 This preview discusses recent fMRI and MEG data from Gonsalves et al. (this issue of Neuron) th

37 fMRI and MEG studies show that there are a variety of neural prof

38 e we used a novel approach in human fMRI and MEG studies to reveal supra-additive scene-object intera

39 ilarity analysis, we combined human fMRI and MEG to show content-specific correspondence between earl

40 ing a multivariate approach to both fMRI and MEG, we characterize the functional neuroanatomy and neu

41 rated %BOP scores of 43% at week 8, GED- and MEG-treated beagles exhibited %BOP scores of 21% and 26%

42 enous malformation who had undergone IAP and MEG.

43 We use psychophysics and MEG to test how sensitivity to input statistics facilita

44 ber probabilistic diffusion tractography and MEG source analysis of conditioning-test (C-T) median ne

45 elated beamformer source models for auditory MEG data under typical experimental conditions: monaural

46 We examined the spatial concordance between MEG and fMRI results in 16 adolescents performing a thre

47 ts demonstrate excellent correlation between MEG imaging findings and the IAP for language lateraliza

48 , we studied in detail the interplay between MEG signals from the primary sensorimotor (SM1) cortex a

49 Both MEG and SEEG revealed avalanche dynamics that were chara

50 In both MEG and behavioral measures, task processing was optimal

51 ntered on midline regions of the DMN in both MEG and fMRI, boosting confidence in a possible pathophy

52 s of typical functional connectivity in both MEG and fMRI.

53 o these two portions is consistent with both MEG studies and intracranial studies.

54 to the amount of brain activity detected by MEG in the right superior parietal lobe (Brodmann's Area

55 is study, the methoxy-terminated diluent (C6-MEG) is the most effective in alleviating both nonspecif

56 The sensor fabricated with C6-MEG has a specificity factor ( approximately 13.5) subst

57 In human megakaryoblastic cells (MEG-01), transfection with constitutively active (S422D)

58 We recorded 275 channel MEG in two experiments (n = 25 human males) examining th

59 index finger and recorded using 306-channel MEG from 21 healthy subjects.

60 al dynamics of these processes by collecting MEG data while human participants listened to spoken wor

61 Using tools combining MEG and intracranial EEG with brain connectivity analyse

62 Recently, studies comparing MEG to the gold standard Wada procedure have found incon

63 Anatomically constrained MEG current estimates revealed that strength-dependent s

64 re analyzed with an anatomically-constrained MEG method.

65 EEG and whole-cortex MEG data were acquired during the standard paired-click

66 Here, we used high-density MEG-EEG recordings in combination with individual MRI im

67 124 healthy human subjects and two different MEG facilities using different sensor technologies.

68 ing feature sets based on variable-dimension MEG power spectra in the primary visual cortex and fusif

69 ed to a maleimide-ethylene glycol disulfide (MEG) monolayer on gold have been investigated.

70 Target DNA hybridization on the DNA-MEG probe surfaces was measured by surface plasmon reson

71 res of neural activity, including fMRI, DTI, MEG and EEG.

72 During MEG, participants fixated on a centrally-presented cross

73 ord and non-word auditory rhyme tasks during MEG recording.

74 rformed two reading-based rhyme tasks during MEG recording.

75 ontent-specific correspondence between early MEG responses and primary visual cortex (V1), and later

76 Converging evidence from EEG, MEG, and neuropsychological measures points to left hemi

77 of spontaneous activity, using the LFP, EEG, MEG or fMRI suggest that the default state of the cortex

78 on-invasive recording techniques such as EEG/MEG.

79 However, fMRI diverged from early EEG/MEG measures in revealing semantic enhancement effects w

80 o investigate this phenomenon in humans (EEG/MEG), however, are inherently limited by their spatial r

81 ould underpin well documented changes in EEG/MEG activity indicating the existence of a mirror neuron

82 ncephalographic/magnetoencephalographic (EEG/MEG) signal is generated primarily by the summation of t

83 s by electro- or magnetoencephalography (EEG/MEG).

84 taneous magneto- and electroencephalography (MEG and EEG) data while subjects observed threshold-leve

85 Magneto-encephalographic (MEG) data were recorded from 13 adult human participants

86 variate decoding of magneto-encephalography (MEG) data to track the neural representation of within-s

87 First, using magneto-encephalography (MEG), we found a shift in the stimulus-evoked time cours

88 s (N=12) by supplementing a well-established MEG protocol involving word recognition and the single d

89 analysis confirmed that somatosensory evoked MEG was mainly generated from the contralateral primary

90 tamine's effects have emerged, there are few MEG/EEG studies examining the acute subanesthetic effect

91 a voxel-wise basis using a spatial-filtering MEG source analysis technique.

92 onse complex presents a challenging case for MEG source-modelling, because symmetrical, phase-locked

93 a maximum tolerated dose was determined for MEG and GED gels.

94 nd 8, GI scores were significantly lower for MEG and GED groups compared to the placebo group (P<0.05

95 ort on photocurrent enhancement arising from MEG in lead selenide (PbSe) QD-based solar cells, as man

96 ormer-reconstructed source time courses from MEG recordings of 52 human subjects during the baseline

97 similarity analyses applied to the data from MEG gradiometers uncovered a pronounced decrease in vari

98 ry in a scene could be reliably decoded from MEG response patterns as early as 160 ms, despite substa

99 e categories within a scene was decoded from MEG sensor patterns by training linear classifiers on di

100 ctional connectivity patterns extracted from MEG data in 14 subjects with schizophrenia and 14 health

101 I to validate and extend the prediction from MEG data of a right auditory cortex contribution to the

102 on of efficient multiple exciton generation (MEG) from single photons absorbed in PbTe NCs.

103 nderstanding of multiple exciton generation (MEG) in organic materials has been restricted by the lim

104 Multiple exciton generation (MEG) is a process that can occur in semiconductor nanocr

105 ), an efficient multiple exciton generation (MEG) process in organic semiconductors, is one promising

106 Multiple exciton generation (MEG) refers to the creation of two or more electron-hole

107 The micro-exon genes (MEG) of Schistosoma mansoni, a parasite responsible for

108 s in functional connectivity between groups, MEG eyes-closed recordings from 30 sMCI and 19 pMCI subj

109 Whole-head MEG signals were analyzed with an anatomically-constrain

110 We recorded whole-head MEG, while participants viewed a visual grating stimulus

111 ects ages 18-65 were monitored by whole-head MEG.

112 Here, MEG was used to investigate neuronal activity while subj

113 Finally, we correlated human MEG signals to single-unit responses in monkey IT.

114 Using noninvasive human MEG recordings in subjects performing a visuospatial att

115 ere, we use magnetoencephalographic imaging (MEG-I) in human speakers to demonstrate that efference c

116 ), and found expression levels of GLP-1Rs in MEG-01 cells to be higher than those in the human lung b

117 l and spatial pattern similarity analysis in MEG and intracranial EEG in a context-match paradigm.

118 ce was accompanied by significant changes in MEG signal power, and a DCM assay disclosed related chan

119 representations and directed connectivity in MEG data obtained while human participants listened to s

120 WDR1 knockdown (KD) in MEG-01 cells increased adhesion and spreading in both th

121 th cortical neuronal avalanches and LRTCs in MEG but not SEEG.

122 gonist exenatide elicited a cAMP response in MEG-01 cells, and exenatide significantly inhibited thro

123 In addition to its role in MEG lineage priming, GATA2 plays an extensive role in la

124 ormation in vivo, and suppresses RNA-induced MEG-3 phase separation in vitro.

125 es and primary visual cortex (V1), and later MEG responses and inferior temporal (IT) cortex.

126 has been largely obtained with sensor-level MEG and EEG recordings, which yield only limited anatomi

127 At the group level, MEG and fMRI data showed spatial convergence in the left

128 We used the human megakaryoblastic cell line MEG-01 as an in vitro model for human megakaryocytes and

129 derived from the megakaryoblastic cell line MEG-01 stimulate proliferation of HepG2 cells.

130 establish a human megakaryocytic cell line (MEG-01) as a model system for the study of dense granule

131 ) mRNA from a human megakaryocyte cell line (MEG-01), and found expression levels of GLP-1Rs in MEG-0

132 rain activity using magnetoencenphalography (MEG) while human participants were exerting physical eff

133 eously measured in the magnetoencephalogram (MEG).

134 eamformer analyses of magnetoencephalograms (MEG) have shown promise as a method for functional imagi

135 oth behavioural and magnetoencephalographic (MEG) metrics associated with responses to pure-tone soun

136 ectome Project, and magnetoencephalographic (MEG) recordings from a subset, the heritability of conne

137 lographic (EEG) and magnetoencephalographic (MEG) recordings.

138 le-head 275-channel magnetoencephalographic (MEG) system as healthy participants navigated to a hidde

139 We combine magnetoencephalographic (MEG) measures of neural processing speed with magnetic r

140 omatosensory evoked magnetoencephalographic (MEG) elicited by air puff stimulation of right index fin

141 acquired whole-head magnetoencephalographic (MEG) recordings from human subjects performing a variabl

142 We obtained magnetoencephalographic (MEG) measurements from subjects performing a working mem

143 res for spontaneous magnetoencephalographic (MEG) signals from humans during altered states of consci

144 s from single-trial magnetoencephalographic (MEG) responses.

145 ateralization using magnetoencephalographic (MEG) imaging, to determine the sensitivity and specifici

146 s experiment, where magnetoencephalographic (MEG) measures of neural activity were acquired in the te

147 Magnetoencephalography (MEG) data was acquired from healthy subjects who were cu

148 Magnetoencephalography (MEG) imaging examined the neural mechanisms that modulat

149 Magnetoencephalography (MEG) is an increasingly popular non-invasive tool used t

150 Magnetoencephalography (MEG) with an established index of auditory perception, t

151 Magnetoencephalography (MEG), a non-invasive technique for characterizing brain

152 hnique for analysing Magnetoencephalography (MEG) data.

153 e imaging (fMRI) and magnetoencephalography (MEG) in the same group of subjects, we analyzed resting-

154 ing intracranial and magnetoencephalography (MEG) recordings, we show that saccades are locked to the

155 esent study, EEG and magnetoencephalography (MEG) were used to examine paired-click measures and cogn

156 (BOLD) measures, and magnetoencephalography (MEG), implemented during resting state conditions, revea

157 esonance imaging and magnetoencephalography (MEG).

158 h functional MRI and magnetoencephalography (MEG).

159 sources detected by magnetoencephalography (MEG) during identical language tasks.

160 dynamics recorded by magnetoencephalography (MEG) in human subjects performing a threshold-level visu

161 activity measured by magnetoencephalography (MEG) is near critical and organizes as neuronal avalanch

162 activity measured by magnetoencephalography (MEG) or electroencephalography (EEG).

163 esponses obtained by magnetoencephalography (MEG) shows that for maskers without the underlying acous

164 A 151-channel magnetoencephalography (MEG) scanner was used to record the cortical response to

165 using a 275-channel magnetoencephalography (MEG) system.

166 analysis, we combine magnetoencephalography (MEG) with behavioral measures in humans in the context o

167 omically constrained magnetoencephalography (MEG) indexed correlates of graded memory strength in the

168 with a whole-cortex magnetoencephalography (MEG) system using a word recognition paradigm optimized

169 High-density magnetoencephalography (MEG) was utilized to evaluate the basic neurophysiology

170 g memory task during magnetoencephalography (MEG).

171 cephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) m

172 of memory encoding, magnetoencephalography (MEG) was analyzed over multi-regional network of negativ

173 cts using whole-head magnetoencephalography (MEG) recording.

174 Whole-head magnetoencephalography (MEG) recordings were collected while participants (19 pa

175 -invasive whole-head Magnetoencephalography (MEG) to look at theta oscillations and Functional Magnet

176 re we acquired human magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) re

177 question using human magnetoencephalography (MEG) and multivariate analyses of instantaneous activity

178 e, we combined human magnetoencephalography (MEG) with multivariate decoding techniques to probe the

179 Combining human magnetoencephalography (MEG), computational modeling, and laminar recordings in

180 ally synchronized in magnetoencephalography (MEG) for stimuli with strong contextual associations.

181 ed using noninvasive magnetoencephalography (MEG) from 124 healthy human subjects and two different M

182 The efficacy of magnetoencephalography (MEG) as an alternative to invasive methods for investiga

183 emporal precision of magnetoencephalography (MEG).

184 nds, and we recorded magnetoencephalography (MEG) data as participants adapted to the delay.

185 Here, we recorded magnetoencephalography (MEG) while human subjects performed a novel non-spatial

186 Resting-state magnetoencephalography (MEG) was used to assess whether functional connectivity

187 ecoding", methods to magnetoencephalography (MEG) data has allowed researchers to characterize, in hi

188 rticipants underwent magnetoencephalography (MEG) to measure neuronal activity directly and functiona

189 In this study we use magnetoencephalography (MEG) to examine cortical reorganization related to prema

190 We use magnetoencephalography (MEG) to measure early auditory cortical responses to tra

191 We use magnetoencephalography (MEG) to monitor brain oscillations in 22 participants du

192 We used magnetoencephalography (MEG) to assess plasticity of human auditory cortex induc

193 We used magnetoencephalography (MEG) to examine cortical reorganization related to prete

194 Here, we used magnetoencephalography (MEG) to investigate neural oscillations in a task that s

195 This work used magnetoencephalography (MEG) to investigate the degree of neural overlap between

196 We used magnetoencephalography (MEG) to measure participants' brain activity during task

197 s et al. (2016) uses magnetoencephalography (MEG) to characterize the hierarchical organization of hu

198 Using magnetoencephalography (MEG) and a tactile temporal discrimination task in human

199 noninvasively, using magnetoencephalography (MEG) and electroencephalography (EEG).

200 a oscillations using magnetoencephalography (MEG) in children undergoing CRT to test whether gamma ch

201 independently using magnetoencephalography (MEG), a neuroimaging modality that bypasses the hemodyna

202 p protagonists using magnetoencephalography (MEG), one-on-one positive and conflictual interactions w

203 Using magnetoencephalography (MEG), we demonstrate that stimulus-evoked activity in hu

204 wo experiments using magnetoencephalography (MEG), we investigated motor brain activation, as well as

205 nd adolescents using magnetoencephalography (MEG).

206 dball paradigm using magnetoencephalography (MEG).

207 auditory cortex with magnetoencephalography (MEG) reliably tracks and discriminates spoken sentences

208 eech processing with magnetoencephalography (MEG) to unravel the principles of speech segmentation an

209 itude, measured with magnetoencephalography (MEG).

210 acological studies in human megakaryoblastic MEG-01 cells showed that DREAM is important for A23187-i

211 elopment of primary cultured megakaryocytes (MEG) and primary erythroblasts (ERY) from murine fetal l

212 aptoalkylguanidines, mercaptoethylguanidine (MEG) and guanidinoethyldisulfide (GED), which are iNOS i

213 Unlike other neuroimaging methods, MEG is a direct measure of neural activity that is not t

214 miR-15a/16-1 in a leukemic cell line model (MEG-01) and in primary CLL samples.

215 semantic association between 300 and 500 ms; MEG localized the differential neural response within th

216 a region of interest beamformer analysis of MEG data, we compare the 4 Hz component of the ASSR to t

217 These results support the identification of MEG-14 as a classic intrinsically disordered protein, an

218 switching that mediates further induction of MEG-specific genes following lineage commitment.

219 Localization of MEG-1 to P granules depends upon the membrane-bound prot

220 inglet fission (a molecular manifestation of MEG) in pentacene.

221 ts with transient absorption measurements of MEG in isolated PbSe QDs and find reasonable agreement.

222 dentified a robust, genome-wide mechanism of MEG-specific lineage priming by a previously described s

223 c networks and demonstrates the potential of MEG as a tool for understanding the mechanisms that unde

224 Neural source reconstruction of MEG data showed that primary somatosensory and auditory

225 We labeled total RNA of MEG-01 cells by incorporation of 5-ethynyluridine (EU) a

226 determine the sensitivity and specificity of MEG imaging, and to determine whether MEG imaging can be

227 Stimulation of MEG-01 with thrombin reduced levels of WDR1 transcripts

228 Transfection of MEG-01 cells with (S422D)SGK1 significantly increased ph

229 ell as a deeper fundamental understanding of MEG.

230 The use of MEG enabled us to obtain the first characterization of t

231 is demonstration should encourage the use of MEG for elucidating functional networks mediating fear-r

232 an GI scores for beagles treated with GED or MEG gels remained at or below baseline levels for the en

233 Our MEG results show that, during articulation, coherent osc

234 In our MEG data, spontaneous beta activity from somatosensory a

235 er processing speeds both inside and outside MEG.

236 Our graph filtration over MEG network revealed these inter-regional time-delayed c

237 agnostic imaging techniques such as FDG PET, MEG, DTI and intra-cranial EEG are widely used to establ

238 ocal microscopy to determine that platelets, MEG-01 megakaryoblastic cells, and bone marrow megakaryo

239 ly this approach to beamformer reconstructed MEG data in source space.

240 w timescales using both source-reconstructed MEG and intracranial stereotactical electroencephalograp

241 We recorded MEG data from anesthetized monkeys and, for comparison,

242 We recorded MEG while 24 human subjects (12 females) listened to rad

243 s question in human subjects while recording MEG.

244 Late (>190 ms) category-related MEG responses elicited by faces and houses, however, wer

245 ced phase separation of the granule scaffold MEG-3.

246 We identified large deflections at single MEG sensors and combined them into spatiotemporal cascad

247 hat both proteins colocalized when spreading MEG-01 cells on fibronectin.

248 To this end, resting-state MEG data of 22 healthy adults was analysed.

249 bserved in recordings of human resting-state MEG.

250 EX-5 is necessary and sufficient to suppress MEG-3 granule formation in vivo, and suppresses RNA-indu

251 -3's access to RNA, thus locally suppressing MEG-3 phase separation to drive P granule asymmetry.

252 opy on live embryos, we show that GFP-tagged MEG-3 localizes to a dynamic domain that surrounds and p

253 used parametric multiobject tracking tasks, MEG and EEG recordings, and data-driven source-space ana

254 Spatio-temporal MEG estimates to RW and PN are consistent with the highl

255 Our findings demonstrate that MEG charge carriers can be collected in suitably designe

256 We demonstrate that MEG-1 and MEG-3 are substrates of the kinase MBK-2/DYRK

257 The MEG (maternal-effect germline defective) proteins are ge

258 The MEG analysis demonstrated that phonological training inc

259 The MEG data are analyzed using a unique combination of beam

260 The MEG sensor data were source localized using a time-frequ

261 istributed cortical activity can explain the MEG and EEG patterns generated by deep sources.

262 the core pathway to layer 4 recorded in the MEG.

263 s analyses suggest the soluble domain of the MEG-14 protein will be largely disordered, and using syn

264 We trained pattern classifiers on the MEG activity elicited by direct presentation of the visu

265 orient toward a more upright position on the MEG monolayer.

266 es a biophysically realistic solution to the MEG signal and can predict the electrophysiological corr

267 Traditionally, this MEG process has been observed as an intermolecular proce

268 e for neuronal system identification [6], to MEG signals from prefrontal cortex, we demonstrate that

269 ltivariate pattern classification applied to MEG revealed the time course of object processing: where

270 L1, TAL1, FLI1, ERG, RUNX1, LMO2) binding to MEG-associated cis-regulatory modules (CRMs) in multipot

271 Treatment of (S422D)SGK1-transfected MEG-01 cells with the IkappaB kinase inhibitor BMS-34554

272 oviding ample incentive to better understand MEG within isolated and coupled QDs as a research path t

273 ut larger than PLPs produced from unmodified MEG-01 cells, and had significantly increased adhesion i

274 Here we use MEG to investigate changes in oscillatory power while he

275 We used MEG (RRID: NIFINV:nlx_inv_090918) to investigate languag

276 We used MEG measures of cortical stimulus-locked, signal-average

277 In the current investigation we used MEG to measure cortical responses to tactile and auditor

278 Here we used MEG to record cortical oscillations in the context of ad

279 A study uses MEG to provide the spatial as well as the temporal resol

280 Using MEG constrained by individual cortical anatomy obtained

281 Using MEG recordings in humans maintaining steady isometric mu

282 Using MEG, control subjects-but not patients-exhibited a seque

283 chanistic explanation of these effects using MEG data acquired from healthy human volunteers (N = 13,

284 Here, using MEG we directly investigated how these visual signals in

285 through activation space, as measured using MEG decoding methods, correlates with reaction times for

286 ing key falsifiable predictions of NRT using MEG recordings, we demonstrate the emergence of neural o

287 We thus demonstrate the feasibility of using MEG in the macaque monkey and provide a non-human primat

288 alyses of high-gamma activity recorded using MEG and intracranial EEG.

289 d we test the hypothesis by recording, using MEG, the neural responses of human subjects listening to

290 from brainstem nuclei, a recent study using MEG suggested that there is also a right-lateralized con

291 we tested this neural resonance theory using MEG recordings as female and male individuals listened t

292 urate estimates of laterality across various MEG studies.

293 In vivo, MEG-3 forms a posterior-rich concentration gradient that

294 forms a disulfide bond with beta-actin when MEG-01 cells adhere via the alphaIIbbeta3 integrin to fi

295 ity of MEG imaging, and to determine whether MEG imaging can become a viable alternative to the intra

296 First, we sought to determine whether MEG, a technique that may have low spatial accuracy, cou

297 a novel method for group-level analysis with MEG beamformer images that utilizes the peak locations w

298 robust method for group-level analysis with MEG beamformer images.

299 early, face-selective response detected with MEG.

300 findings suggest that MEX-5 interferes with MEG-3's access to RNA, thus locally suppressing MEG-3 ph