ライフサイエンスコーパス: resting state

1 onal connectivity and cerebral blood flow in resting state).

2 d SidA without NADP(H) or l-ornithine bound (resting state).

3 nctional connectivity, especially during non-resting state.

4 lso when BBB integrity is compromised in the resting state.

5 ceptor in the open, desensitized, and closed/resting state.

6 oxygen; and phase III, 5.6-minute return to resting state.

7 ity but binds only weakly to channels in the resting state.

8 with a Ni(II) azametallacyclobutane catalyst resting state.

9 toxins, which trap the voltage sensor in its resting state.

10 DI)Fe(N(2))(eta(2)-1-octene) as the catalyst resting state.

11 mid-valent iron centres of FeMo cofactor at resting state.

12 isms that regulate channel activation from a resting state.

13 hydrolysis per se does not reset MRP1 to the resting state.

14 s measured by an increase in HRV, versus the resting-state.

15 ic reactions and were identified as catalyst resting states.

16 s revealed that the correlations between the resting-state absolute EEG powers and wisdom scores were

17 Nevertheless, stronger resting-state absolute EEG powers in the frontal lobe we

18 brain states have been well characterised in resting state acquisitions, the remodelling of these sta

19 power spectral density of nucleus accumbens resting-state activity in the subacute and chronic back

20 ain's on-going intrinsic activity (i.e., the resting-state activity) is spontaneous, but this spontan

21 uscle and myosin heads return to an ordered, resting state after contraction more quickly.

22 In a sample of combat veterans, we examined resting-state alpha (8-12 Hz) oscillatory activity (in b

23 Mechanistic studies revealed two catalyst resting states: an arylpalladium(II) hydroxide and arylp

24 The GS topography in the resting state and in seven different tasks was first mea

25 imetallacycle was identified as the catalyst resting state and was isolated and characterized by X-ra

26 Our results suggest that the three resting states and the pathways that connect them should

27 Lastly, resting-state and DTI analysis revealed post-training ef

28 Using resting-state and reward-related functional MRI data fro

29 hat emerged intermittently during a wakeful "resting state" and that had comparable electrophysiologi

30 c sulfinate and establish different catalyst resting states, and turnover limiting steps, for the two

31 ; (2) phosphetane 1 represents the catalytic resting state as observed by (31)P NMR spectroscopy; (3)

32 he following study design: phase I, 2-minute resting state at baseline (room air); phase II, 6-minute

33 trinsic neuronal activity was assessed using resting-state blood oxygen level-dependent functional MR

34 y bands of LFP signals, with high resolution resting state BOLD FC measurements.

35 tivity to pain is reflected in the pain-free resting-state brain activity and functional connectivity

36 e gaps, we used microstate analysis to study resting-state brain activity in major depressive disorde

37 hlight both state and trait abnormalities in resting-state brain activity in MDD.

38 ion of TD with behavioral measures in CP and resting-state brain functional network in both CP patien

39 sing ICA, we investigated the differences in resting-state brain networks in patients with MDD who ha

40 t reflect brief activations of components of resting-state brain networks.

41 r affinity to the inactivated state than the resting state but bind at a site within the pore of the

42 We compared the spatial profiles of resting state coherences of different frequency bands of

43 ng substitution occurs from a catalyst-donor resting-state complex.

44 While resting state connectivity abnormalities have been frequ

45 These findings demonstrate that resting state connectivity can be leveraged to produce g

46 lobules VIIb and VIIIa, which exhibit robust resting state connectivity with frontal and parietal reg

47 the face network in humans (measured through resting state connectivity) affects face memory performa

48 rently based on MRI-related methods, such as resting-state connectivity and diffusion tract-tracing,

49 s study was to determine whether patterns of resting-state connectivity between brain regions predict

50 d loss of symmetry in measures of hand motor resting-state connectivity compared with control subject

51 Differences in resting-state connectivity may be false-negative results

52 Instead, resting-state connectivity may be less susceptible to th

53 emisphere yielded less asymmetric hand motor resting-state connectivity than seeding the tumor hemisp

54 IHM region, loss of symmetry in strength of resting-state connectivity was correlated with tumor per

55 Conclusion Hand motor resting-state connectivity was less symmetrical in a tum

56 y homogeneity and similarity of global-level resting-state connectivity were observed.

57 nts, based on diffusion-weighted imaging and resting-state connectivity, localized those task-defined

58 umors, tumor characteristics, and changes in resting-state connectivity, to explore neurovascular unc

59 P = .01) and strength (R = 0.33, P = .03) of resting-state connectivity.

60 We applied this technique to a large set of resting state data in which we also acquired retrospecti

61 during the movement task and again using the resting state data.

62 itioning of macrophages is primed during the resting state, dependent on cumulative history of cell d

63 ound that human peripheral blood Th cells in resting state do not show surface expression of IL-3R; h

64 We recorded the resting state EEG (rsEEG), the visual evoked potentials

65 SCS patterns on paw withdrawal threshold and resting state EEG theta power as a biomarker of spontane

66 on patterns across DAN and DMN, but not with resting-state EEG dynamics.

67 riance, followed by language aptitude (17%), resting-state EEG power in beta and low-gamma bands (10%

68 Furthermore, we found that the sertraline resting-state EEG signature indexed prefrontal neural re

69 Behavioral and neural (resting-state EEG) indices of language aptitude were use

70 pace machine-learning algorithm tailored for resting-state electroencephalography (EEG) and applied i

71 y of signals reconstructed from high-density resting-state electroencephalography in four datasets of

72 ng enantioinduction, reaction rate, catalyst resting state, enolate crossover experiments, water tole

73 Here we report an analysis of resting-state FC using magnetic resonance imaging data f

74 Resting-state FC with the OP1/OP4 region-of-interest in

75 lly with oral water ingestion, (2) examining resting state fMRI (rs-fMRI) which is more natural since

76 roup of healthy participants across baseline resting state fMRI as well as two distinct levels of pro

77 With resting state fMRI data in a large sample of ASD toddler

78 Resting state fMRI data of 130 individuals (65 melanchol

79 ask-fMRI data using the regions derived from resting state fMRI may lead to increased statistical pow

80 y and an ability to differentially influence resting state fMRI studies.

81 Three paradigms: passive, active, and resting state fMRI were used to study the brain activity

82 dies have the potential to further establish resting-state fMRI (rs-fMRI) and enable its validation f

83 combination of pharmacological fMRI (phMRI), resting-state fMRI (rsfMRI), and resting-state quantitat

84 nd in healthy controls, using a simultaneous resting-state fMRI and (18)F-FDG PET.

85 ate networks (RSNs) in awake marmosets using resting-state fMRI and then compared these networks with

86 twork (DIAN) the effect of BDNF(Val66Met) on resting-state fMRI assessed functional networks.

87 We studied in humans of either sex resting-state fMRI connectivity associated with performa

88 is (intrinsic connectivity contrast, ICC) to resting-state fMRI data acquired in 108 individuals (n =

89 Resting-state fMRI data from a subset of the behaviorall

90 s humans, non-human primates, and mice using resting-state fMRI data in all species.

91 Graph theoretic analyses of 7.0-Tesla resting-state fMRI data revealed that CA3 damage disrupt

92 tive connectivity between brain regions from resting-state fMRI data.

93 Here, we show resting-state fMRI evidence of large-scale sensory and e

94 Using diffusion-weighted and resting-state fMRI in a group of female and male subject

95 Here, we complemented resting-state fMRI in rats with cortical calcium recordi

96 Using resting-state fMRI in the youngest sample of newborn hum

97 To test this, we used a recently developed resting-state fMRI measure of intrinsic neural timescale

98 5 pregnant women participated in human fetal resting-state fMRI studies (fetal gestational age betwee

99 s were similarly consistent between task and resting-state fMRI, improved age-based classification an

100 ting-state networks in awake marmosets using resting-state fMRI, then to compare these networks with

101 Using resting-state fMRI, we characterized a circuitry of inte

102 ention; and default mode), assessed from the resting-state fMRI.

103 t well defined visual areas in both task and resting-state fMRI.

104 cohort with MR spectroscopy (MEGA-PRESS) and resting-state fMRI.

105 % female) completed 7 days of actigraphy and resting-state fMRI.

106 e relationship between these target-enriched resting state functional connectivity (FC) maps and inte

107 ctural magnetic resonance imaging (MRI), and resting state functional connectivity (rs-fc) were colle

108 We also demonstrate the capability of resting state functional connectivity (rsFC) combined wi

109 Cross-sectional resting state functional connectivity (rsFC) studies in

110 In the present study, we used resting state functional connectivity (rsFC) to investig

111 As such, we investigated dACC activity using resting state functional connectivity (rsFC) with functi

112 In addition, resting state functional connectivity among these homolo

113 Resting state functional connectivity magnetic resonance

114 Resting state functional connectivity magnetic resonance

115 e in migraineurs as seed regions to generate resting state functional connectivity network maps from

116 We compared the resting state functional connectivity of a spatial brain

117 1-site consortium study in order to identify resting state functional connectivity patterns that pred

118 The dIPL-PMv resting state functional connectivity was increased in p

119 in network information derived from both the resting state functional magnetic resonance imaging (rs-

120 used as seeds in a high-resolution normative resting state functional magnetic resonance imaging temp

121 Resting state functional magnetic resonance imaging was

122 droxyphenyl-l-alanine PET (18F-DOPA-PET) and resting state functional MRI (rs-fMRI).

123 In this study, we used dynamic resting state functional MRI analyses to increase tempor

124 We compared resting state functional MRI data during chronic stimula

125 To this end, we collected resting state functional MRI data of 31 patients with ac

126 and the basal ganglia-thalamus network with resting state functional MRI in three groups of patients

127 Static resting state functional MRI studies have already furthe

128 iously reported ones originating from static resting state functional MRI studies post-stroke.

129 During resting state functional MRI, similar eigenvector centra

130 age-matched, healthy control subjects using resting state functional MRI.

131 on-weighted MRI, perfusion-weighted MRI, and resting state functional MRI] to investigate the neural

132 tral nervous system such that structural and resting-state functional activity changes occur in the b

133 Here, we collected resting-state functional and diffusion-weighted MRI data

134 validate a network pattern in the pain-free resting-state functional brain connectome that is predic

135 The effects of age on static resting-state functional brain integration were assessed

136 med at characterizing age-related changes in resting-state functional brain organization from mid-chi

137 Finally, the number of significant resting-state functional connections across the brain in

138 oup), measures of social responsiveness, and resting-state functional connectivity (rsFC) between are

139 A Bayesian model was employed to decompose resting-state functional connectivity (RSFC) of individu

140 riate pattern analysis (MVPA) on whole-brain resting-state functional connectivity (rsFC) to (neuro)m

141 Resting-state functional connectivity (rsFC) was assesse

142 into large-scale networks identifiable using resting-state functional connectivity (RSFC).

143 ressive disorder is associated with aberrant resting-state functional connectivity across multiple br

144 day was associated with marked decreases in resting-state functional connectivity across the whole b

145 ified on the basis of a participant-specific resting-state functional connectivity analysis with a hi

146 ach reveals fine-scale temporal structure of resting-state functional connectivity and discloses that

147 proaches to elucidate ELM subtype effects on resting-state functional connectivity architecture in 30

148 re, we measured striatal volume and striatal resting-state functional connectivity at baseline, and w

149 r pretreatment reward sensitivity and higher resting-state functional connectivity between bilateral

150 In addition, patients with MDD had higher resting-state functional connectivity between hippocampu

151 n the head of the caudate predict changes in resting-state functional connectivity between this struc

152 Resting-state functional connectivity data were obtained

153 Resting-state functional connectivity findings highlight

154 Resting-state functional connectivity is used throughout

155 n Therapy (SAINT), an accelerated, high-dose resting-state functional connectivity MRI (fcMRI)-guided

156 To test this, we mapped the resting-state functional connectivity of surgical ablati

157 d whether differences in brain structure and resting-state functional connectivity partially explaine

158 ent was associated with a unique whole-brain resting-state functional connectivity signature and was

159 Here we decompose resting-state functional connectivity using a temporal u

160 Additionally, resting-state functional connectivity was computed betwe

161 Resting-state functional connectivity was largely unalte

162 Resting-state functional connectivity was quantified via

163 nalyses, differences in intraparietal sulcus resting-state functional connectivity were calculated co

164 cal myelination, white matter integrity, and resting-state functional connectivity) and individual, p

165 d morphometry, diffusion tensor imaging, and resting-state functional connectivity.

166 ol network activity as the primary driver of resting-state functional connectivity.

167 aging was characterized by decreased static resting-state functional integration and dynamic stabili

168 Previously, using simultaneous resting-state functional magnetic resonance imaging (fMR

169 between friends exists at rest we collected resting-state functional magnetic resonance imaging (fMR

170 ale brain networks are often described using resting-state functional magnetic resonance imaging (fMR

171 ted intrinsic functional connectivity during resting-state functional magnetic resonance imaging (fMR

172 hically-matched healthy controls underwent a resting-state functional magnetic resonance imaging (MRI

173 unctional connectivity and dynamics based on resting-state functional magnetic resonance imaging (rs-

174 vioral impairment was mirrored in changes in resting-state functional magnetic resonance imaging (rs-

175 al brain connectivity (GBC), as assessed via resting-state functional magnetic resonance imaging (rsf

176 Resting-state functional magnetic resonance imaging (rsf

177 of language networks in human infancy using resting-state functional magnetic resonance imaging (rsf

178 Resting-state functional magnetic resonance imaging (rsf

179 Using resting-state functional magnetic resonance imaging and

180 Resting-state functional magnetic resonance imaging data

181 We used modularity analysis on resting-state functional magnetic resonance imaging data

182 y, irritability, and ADHD, and 10 minutes of resting-state functional magnetic resonance imaging data

183 Resting-state functional magnetic resonance imaging esti

184 The merits of using resting-state functional magnetic resonance imaging func

185 Resting-state functional magnetic resonance imaging scan

186 In this study, we used resting-state functional magnetic resonance imaging to e

187 Resting-state functional magnetic resonance imaging was

188 Resting-state functional magnetic resonance imaging was

189 The probabilistic reward task and resting-state functional magnetic resonance imaging were

190 ures of glutamate, effective connectivity of resting-state functional magnetic resonance imaging, and

191 and other cortical regions acquired with the resting-state functional magnetic resonance imaging.

192 cipants using diffusion spectrum imaging and resting-state functional magnetic resonance imaging.

193 We used resting-state functional MRI (fMRI) in 162 participants

194 Here, we examined variation in resting-state functional MRI (fMRI) in around 900 indivi

195 Recent resting-state functional MRI (fMRI) studies have reveale

196 diffusion magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), and sensory-evoked

197 stratification models based on single visit resting-state functional MRI (rs-fMRI) data that assess

198 but also diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI), for computing mu

199 nal connectivity using daily 30-min scans of resting-state functional MRI (rs-fMRI).

200 Resting-state functional MRI (rsfMRI) has recently revea

201 Care (EMBARC) study underwent structural and resting-state functional MRI at baseline.

202 f patients with glioma who underwent MRI and resting-state functional MRI between January 2016 and Ju

203 during processing of affective stimuli, and resting-state functional MRI experiments, which have ide

204 Background Resting-state functional MRI holds substantial potential

205 tanding of how tumors exert local effects on resting-state functional MRI readings.

206 We used resting-state functional MRI to examine whether the func

207 puted using normative human connectome data (resting-state functional MRI, n = 1000) and contrasted w

208 Here, using resting-state functional MRI, we show that the timescale

209 alterations of functional connectivity with resting-state functional MRI.

210 up to seven times during natural sleep using resting-state functional MRI.

211 This study aims to compare resting-state functional properties of these networks be

212 bic exercise (MAE) on inhibitory control and resting-state heart rate variability (HRV) in children w

213 To this end we acquired resting state high-density (256 channels) EEG from 31 pa

214 ty-insensitive k-means clustering to segment resting-state high-density (128-channel) EEG data into m

215 In the resting state, high GSCORR was observed mainly in the pr

216 s (20-hour time-in-bed) of recovery sleep on resting-state hippocampal connectivity and episodic memo

217 These findings are consistent with the resting state identity of the Fe(III) metathesis catalys

218 Resting-state imaging data were acquired in their infant

219 l-coordinated M(4+) carbonate species as the resting state in all cases.

220 be suppressed by trapping the linker in the resting state, indicating that isomerization of the beta

221 observed as the gradual decline in the E(0) resting state intensity that was accompanied by an incre

222 yl bromide oxidative addition complex is the resting state intermediate, and transmetalation is turno

223 e complex formed post-transmetalation is the resting-state intermediate, and loss of SO(2) from this

224 tics experiments suggested that the catalyst resting state is a tetracoordinate diarylborinic ester t

225 atory tolerance" in which BBB opening in the resting state is sufficient to stimulate a protective ba

226 In contrast, the Ni-Ga resting state is the Ni(eta(2)-H(2)) species, and Ni-Sc

227 otein, but its homeostatic regulation at the resting state is unknown.

228 Identification of the catalyst resting state, kinetic measurements, deuterium labeling

229 Higher resting-state left prefrontal-motor cortex FC, accompani

230 ablish a high-resolution channel-docking and resting-state locking mechanism for huwentoxin-IV and pr

231 Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) can b

232 findings indicate that measures derived from resting-state magnetoencephalography (rsMEG) are sensiti

233 cture, which in turn informed beamforming of resting-state magnetoencephalography recordings.

234 issue, sequential spatiotemporal patterns in resting-state MEG data, and large-scale waves in human e

235 In resting-state MEG recordings from healthy participants (

236 hat TETS binds at the T6' ring in the closed/resting-state model, in which it shows perfect space com

237 ationship between baseline brain morphology, resting-state network connectivity and clinical response

238 To investigate core resting state networks in SLE patients with and without

239 t sex differences in prefrontal and striatal resting state networks that may contribute to difference

240 the organization of synchronous activity in resting state networks.

241 However, whether such resting-state networks (RSNs) are interconnected across

242 ns of subcortical connectivity with cortical resting-state networks (RSNs) in awake marmosets using r

243 in brain intrinsic activity-as organized in resting-state networks (RSNs) such as sensorimotor netwo

244 of functional integration within and between resting-state networks and (2) an increased temporal sta

245 le we could match several marmoset and human resting-state networks based on their functional fingerp

246 anonical variates did not relate to specific resting-state networks but comprised edges interconnecti

247 We show that resting-state networks have distinct energetic signature

248 ns of subcortical connectivity with cortical resting-state networks in awake marmosets using resting-

249 _INST group (i.e. Peak VOR > 2.0); canonical resting-state networks preferentially engaged by EL_INST

250 y maps, which were compared with established resting-state networks to identify potential networks pr

251 identified reproducible and highly symmetric resting-state networks, with overall connectivity streng

252 ns and may preferentially engage in discrete resting-state networks.

253 relationships between the SRI and additional resting-state networks.

254 sed to strong connections encompassing known resting-state networks.

255 e widely used as an fMRI-based surrogate of "resting-state" neuronal activity.

256 We find the dominating resting state of the catalyst as a Co(IV) species CoO(2)

257 roth order in substrate, consistent with the resting state of the catalyst as the corresponding nicke

258 of silyl groups bound to iridium between the resting state of the catalyst containing the hindered ph

259 The resting state of the catalyst is an iridium disilyl hydr

260 bound by the catalyst, point to a plausible resting state of the catalyst-substrate complex predispo

261 organonickel(II) complex is the predominant resting state of the catalyst.

262 is equipotent in a protocol that favors the resting state of the channel, a protocol that favors the

263 tes a STIM1-STING circuit that maintains the resting state of the STING pathway.

264 mployed iridium photocatalyst, determine the resting states of both iridium and nickel catalysts, and

265 Actually, the resting-state organization in the atypicals showed that

266 al change in functional connectivity (FC) of resting-state oscillations between pairs of 330 cortical

267 We studied resting-state oscillatory connectivity using magnetoence

268 ng, whisker stimulation during genuine awake resting-state periods leads to highly specific reduction

269 sive re-experiencing symptoms and attenuated resting-state posterior->frontal alpha connectivity, whi

270 RI (phMRI), resting-state fMRI (rsfMRI), and resting-state quantitative EEG (qEEG) to investigate the

271 on of the glycine with leucine converted the resting-state R2lox cofactor to an R2c-like cofactor, a

272 work alterations, even during the interictal resting state (RS).

273 al connectivity (FC), even during interictal resting state (RS).

274 er genuine CFC networks are present in human resting-state (RS) brain activity.

275 After completing a resting-state scan, participants performed a task that r

276 iscontinuation in patients, and obtained two resting state scans from matched healthy volunteers to a

277 t influences on fMRI signals during 440 h of resting state scans in 440 healthy young adults, both ca

278 Graded normalization of the postoperative resting-state SOZ was compared to seizure outcomes, pati

279 Our structure reveals a high-affinity resting-state-specific toxin-channel interaction between

280 Together, our findings reveal that resting-state STING protein level is strictly regulated

281 The competing degradation mechanism of resting-state STING requires IRE1alpha and lysosomes.

282 The resting state structure reveals a new out active site co

283 V and provide guidance for developing future resting-state-targeted analgesic drugs.

284 uted set of brain regions coactivated during resting states that is vulnerable to brain disorders.

285 -wide association studies (MTAG) on parietal resting-state theta (3-7 Hz) EEG coherence, which previo

286 proceeds by the intervention of an off-cycle resting state thiophosphonium ion.

287 orphological transition from a monitoring or resting state to an altered morphological state, by exhi

288 e transitions that accompany the switch from resting state to perceptual immersion in an ecologically

289 SD) undergoes sequential activation from the resting state to the intermediate state and activated st

290 r and provides a gradual transition from the resting state to the oscillatory regime, as observed in

291 om highly inflammatory cell subsets toward a resting state upon demethylase inhibition.

292 illustrates the configuration of a bona fide resting state voltage sensor, observed without the need

293 ed voxel-based morphometry (VBM) studies and resting-state voxel-based pathophysiology (VBP) studies

294 ile the return of myosin heads to an ordered resting state was initially slower, then became more rap

295 iration mimicked the topography of GS in the resting state, whereas both differed during the task sta

296 d phosphate release launch the return to the resting state, which facilitates nucleotide exchange and

297 ion based on the local-level similarities in resting-state whole-brain connectivity between participa

298 otomimetic effects and their relationship to resting-state whole-brain magnetoencephalography (MEG) g

299 hibition by altering the equilibrium between resting states (with D4S4 in the inner position) and ina

300 CCDs are typically five-coordinate in their resting states, with solvent occupying an exchangeable s