ライフサイエンスコーパス: MEG

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

2 MEG data showed that the amplitude of MBS reduction corr

3 MEG decoding results revealed that scene-based facilitat

4 MEG in passive listeners and those actively detecting ap

5 MEG indicated that the texture-invariant scene layout re

6 MEG is useful to detect early synaptic dysfunction assoc

7 MEG power spectra revealed a rich set of significant osc

8 MEG recordings of brain activity were taken before and a

9 MEG recordings showed that hippocampus and prefrontal co

10 MEG results show that dissonant dyads evoke a pitch onse

11 MEG-01 is the human megakaryoblastic leukemia cell line

12 MEG-3 is an intrinsically disordered protein that binds

13 MEG-3 traps mRNAs into non-dynamic condensates in vitro

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

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

16 In C. elegans, MEG-3 and MEG-4 function redundantly to assemble germ granules in

17 G (maternal-effect germline defective)-3 and MEG-4, which are enriched in P granules and in the poste

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

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

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

21 Here, we used EEG and MEG techniques to show that the brain is able to use the

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

23 It remains challenging to relate EEG and MEG to underlying circuit processes and comparable exper

24 EEG and MEG were recorded while participants reported the spatia

25 lectrophysiological methods, such as EEG and MEG.

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

27 We measured fMRI and MEG during symmetric finger tapping, in which fast tappi

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

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

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

31 the Montreal cognitive assessment (MoCA) and MEG to evaluate differences in cerebral activation patte

32 Eye movement and MEG recordings revealed how participants represent choic

33 To uncover this, we combined MRI and MEG data from 17 male and 11 female participants, invest

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

35 resent in human RS activity in both SEEG and MEG data.

36 rained temporal scale using eye tracking and MEG recordings.

37 1 Hz), other neuroimaging modalities such as MEG and EEG suggest that much faster timescales may be e

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

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

40 y significant coherence was observed between MEG signals originating from the auditory system and the

41 Both MEG and iEEG data show that decreases in alpha/beta powe

42 Both MEG and SEEG revealed avalanche dynamics that were chara

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

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

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

46 ng multivariate classification of full-brain MEG data, we first probed where the brain represents aco

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

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

49 We use OPMs to record human cerebellar MEG signals elicited by air-puff stimulation to the eye.

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

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

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

53 opose a multimodal model to robustly combine MEG, MRI and fMRI for prediction.

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

55 Here we demonstrate a lifespan-compliant MEG system, showing recordings of high fidelity data in

56 re analyzed with an anatomically-constrained MEG method.

57 We train classifiers to distinguish MEG field patterns during presentation of two probabilis

58 Model-driven MEG-fMRI data fusion revealed the spatiotemporal evoluti

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

60 During MEG recordings, subjects attended to four different 5 mi

61 During MEG, subjects participated in a visual picture-word matc

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

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

64 f the boxes representing 'fMRI/PET' and 'EEG/MEG' incorrectly showed the highest spatial resolution l

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

66 imits of highest temporal resolution for EEG/MEG and ECoG were shown as ~200 ms and ~10 ms and are no

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

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

69 enting the spatiotemporal resolution of 'EEG/MEG' and 'ECoG' were incorrect.

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

71 In C. elegans, MEG-3 and MEG-4 function redundantly to assemble germ gr

72 tations of both in magneto-encephalographic (MEG) activity.

73 Magneto- and electro-encephalography (MEG/EEG) non-invasively record human brain activity with

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

75 eproduced them in a magneto-encephalography (MEG) scanner.

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

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

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

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

80 esent two robust and widely used methods for MEG/EEG functional connectivity estimation.

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

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

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

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

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

86 quency activity recorded over frontotemporal MEG sensors plays a critical role in choice option integ

87 al origins of electrical currents generating MEG/EEG.

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

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

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

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

92 We recorded whole-head MEG data during a multiple-object tracking paradigm, in

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

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

95 ngs from 6 areas of macaque cortex and human MEG.

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

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

98 -resolution magnetoencephalographic imaging (MEG-I) to define with millisecond precision the underlyi

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

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

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

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

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

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

105 reaction/diffusion mechanisms that result in MEG-3::Halo segregation.

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

107 ection caused an enhanced Notch signaling in MEG-01 cells where the virus envelope protein was shown

108 ation (C(max)) was associated with increased MEG gamma power.

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

110 However, DENV-infected MEG-01 cells, when induced for differentiation with PMA,

111 ed word reading task was administered inside MEG to assess tDCS-induced neurophysiological changes in

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

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

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

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

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

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

118 narrative while their magnetoencephalogram (MEG) was recorded.

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

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

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

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

123 r such practices in magnetoencephalographic (MEG) and electroencephalographic (EEG) research, recentl

124 Here, we recorded magnetoencephalographic (MEG) activity in participants (N = 24) who viewed images

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

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

127 Using magnetoencephalographic (MEG) recording combined with event-related desynchronisa

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

129 Magnetoencephalography (MEG) is an invaluable tool to study the dynamics and con

130 Magnetoencephalography (MEG) was recorded during a picture naming task to provid

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

132 Next, we designed a magnetoencephalography (MEG) experiment to measure the neuromagnetic activity ev

133 halography (EEG) and magnetoencephalography (MEG) are unique in their ability to provide neurophysiol

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

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

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

137 e imaging (fMRI) and magnetoencephalography (MEG).

138 ng-state whole-brain magnetoencephalography (MEG) gamma power 6-9 h post-infusion.

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

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

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

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

143 ers while conducting magnetoencephalography (MEG) recording.

144 nventional cryogenic magnetoencephalography (MEG) to the study of cerebellar functions is highly limi

145 g memory task during magnetoencephalography (MEG).

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

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

148 ing gamma power from magnetoencephalography (MEG) as a proxy measure for homeostatic balance in 35 un

149 tory processing from magnetoencephalography (MEG) data in a cocktail party setting.

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

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

152 Using human magnetoencephalography (MEG) responses to a 2-talker mixture, we show evidence f

153 ere we combine human magnetoencephalography (MEG) with behavioural and neural modelling to identify a

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

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

156 cal workup including magnetoencephalography (MEG) followed by resective surgery after determination o

157 merged promising new Magnetoencephalography (MEG) systems in which the sensors can be placed close to

158 mporal resolution of magnetoencephalography (MEG), during a rapid serial visual presentation (RSVP) t

159 emporal precision of magnetoencephalography (MEG).

160 n by capitalising on magnetoencephalography (MEG) in humans who made choices in a risky foraging task

161 eories in a parallel magnetoencephalography (MEG)-intracranial electroencephalography (iEEG) study in

162 Using high-precision magnetoencephalography (MEG), we show that during the classical event-related de

163 source-reconstructed magnetoencephalography (MEG) data.

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

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

166 muli during the same magnetoencephalography (MEG) acquisition.

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

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

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

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

171 We use magnetoencephalography (MEG) to show that disruption of network dynamics may be

172 We used magnetoencephalography (MEG) and electroencephalography (EEG), in combination wi

173 We used magnetoencephalography (MEG) combined with continuous theta burst stimulation (c

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

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

176 We used magnetoencephalography (MEG) to investigate the frequency-specific cortical trac

177 rrent study, we used magnetoencephalography (MEG) to investigate the primary somatosensory responses

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

179 Here, we used magnetoencephalography (MEG) to measure the time course of neural responses to f

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

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

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

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

184 Here we show using magnetoencephalography (MEG) that tactile stimulation produces occipital cortex

185 is question by using magnetoencephalography (MEG) to study human subjects while they performed a deci

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

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

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

189 Using magnetoencephalography (MEG), we show that the reduced ability to suppress memor

190 Using magnetoencephalography (MEG), we show that this stress-induced memory control de

191 der occlusion, using magnetoencephalography (MEG), while participants were presented with images of o

192 nd adolescents using magnetoencephalography (MEG).

193 dball paradigm using magnetoencephalography (MEG).

194 eural activity using magnetoencephalography (MEG).

195 subjects (HC) using magnetoencephalography (MEG).

196 To allow wearable magnetoencephalography (MEG) recordings to be made on unconstrained subjects the

197 neration of wearable magnetoencephalography (MEG) technology with the potential to revolutionise elec

198 neural activity with magnetoencephalography (MEG) before and while participants briefly viewed an amb

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

200 itude, measured with magnetoencephalography (MEG).

201 Many MEG/EEG studies address this complexity by using a hypot

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

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

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

205 ultivariate analysis methods to a multimodal MEG/EEG dataset.

206 e observed that DENV could infect only naive MEG-01 cells, and differentiated cells were refractory t

207 tern analysis on time-resolved neuroimaging (MEG) data to examine how object-color knowledge affects

208 ovide evidence from multivariate analysis of MEG data, behavioral data, and computational modelling,

209 ore fully exploit the unique capabilities of MEG.

210 This primer introduces the basic concepts of MEG, discusses its strengths and limitations in comparis

211 Moreover, the contribution of MEG was best explained by cortical power spectra between

212 o maximizing the sharing and exploitation of MEG and EEG data, and we also discuss how this 'living'

213 A new generation of MEG using optically pumped magnetometers (OPMs) that can

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

215 We have studied DENV infection of MEG-01 cells to understand its effect on megakaryopoiesi

216 granules are two parallel manifestations of MEG-3's response to upstream polarity cues.

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

218 d clinicians interpret the neural origins of MEG/EEG.

219 we leveraged the high temporal resolution of MEG and combined it with a scene imagination task.

220 we leveraged the high temporal resolution of MEG to investigate the construction of novel mental imag

221 xcess)-5 and MEX-6 suppress the retention of MEG-3 in the anterior cytoplasm, leading to MEG-3 enrich

222 Surprisingly, we find that the retention of MEG-3::Halo in the posterior cytoplasm surrounding P gra

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

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

225 ell as a deeper fundamental understanding of MEG.

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

227 P granule segregation depends on MEG (maternal-effect germline defective)-3 and MEG-4, wh

228 gnetometer-based magnetoencephalographic (OP-MEG) system for the measurement of human cerebellar acti

229 ne such technology, Optically Pumped MEG (OP-MEG) allows for a scalp mounted system that provides mea

230 We conclude that OP-MEG technology offers a promising way to advance the und

231 While OP-MEG has the potential to provide high information conten

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

233 er processing speeds both inside and outside MEG.

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

235 Pathological MEG slowing in these patients was correlated with aphasi

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

237 el-like assemblies of the disordered protein MEG-3 that associate with liquid PGL-3 droplets in the e

238 by condensation with the disordered protein MEG-3.

239 One such technology, Optically Pumped MEG (OP-MEG) allows for a scalp mounted system that prov

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

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

242 thm to simulated and experimentally-recorded MEG data from auditory experiments in the cocktail party

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

244 s question in human subjects while recording MEG.

245 ect current stimulation (HD-tDCS) can reduce MEG abnormalities and transiently improve language perfo

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

247 Here we recorded simultaneous MEG and EEG (total of 328 sensors) in 9 human subjects (

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

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

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

251 ial spatiotemporal patterns in resting-state MEG data, and large-scale waves in human electrocorticog

252 In resting-state MEG recordings from healthy participants (N = 187) using

253 Strikingly, MEG, fMRI and MRI showed additive effects supporting dis

254 In two studies, MEG and EEG activity was measured as human participants

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

256 in conjunction with PLK-1 kinase to suppress MEG-3 retention in the anterior.

257 -3's access to RNA, thus locally suppressing MEG-3 phase separation to drive P granule asymmetry.

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

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

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

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

262 The MEG analysis demonstrated that phonological training inc

263 The MEG analysis showed that the PD patients had a significa

264 The MEG and EEG datasets revealed converging evidence that t

265 The MEG data presented here provide novel insights about the

266 We classified the MEG patterns for each press in the sequence and examined

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

268 s modulated the direction represented in the MEG signal as early as 150 ms after visual stimulus onse

269 reflection of the predicted direction in the MEG signal.

270 Following the virus infection, the MEG-01 cells showed a marked reduction in the surface ex

271 the coupling between the time courses of the MEG activity and attended speech stream, multitalker bac

272 r findings suggest that the formation of the MEG-3 concentration gradient and the segregation of P gr

273 This multi-dimensional aspect of the MEG/EEG based connectivity increases the challenges of t

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

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

276 Thus, MEG and EEG were dominated by early visual and ventral s

277 Application to MEG data reveals improvements over existing TRF estimati

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

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

280 MEG-3 in the anterior cytoplasm, leading to MEG-3 enrichment in the posterior.

281 spanning spatial scales from single units to MEG - a valuable framework for relating human and animal

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

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

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

285 ole of alpha synchrony in attention, we used MEG neurofeedback to train subjects to manipulate the ra

286 Using MEG recordings in humans maintaining steady isometric mu

287 behavior and recording neural activity using MEG while observers (male and female) were acquiring and

288 rators is a limitation that constrains using MEG/EEG to reveal novel principles of information proces

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

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

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

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

293 d image, we investigated this question using MEG and 7 Tesla fMRI in humans.

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

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

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

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

298 have on designing sensor arrays for wearable MEG.

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

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