ライフサイエンスコーパス: functional MRI

1 identified and divided into: MRI (n = 115), functional MRI (n = 19), CT (n = 9), PET (n = 18), and U

2 etened beverages daily for 21 d, underwent 2 functional MRI sessions, and completed behavioral and ex

3 eld 7T structural MRI and high-resolution 3T functional MRI (hr-fMRI), we evaluated MTL subfield thic

4 A functional MRI (fMRI) substudy examined effects on activ

5 ron emission tomography scan 4 days before a functional MRI fear conditioning and extinction paradigm

6 ndom sequences of objects and words during a functional MRI session.

7 examples of selected analysis methods for a functional MRI dataset and multivariate pattern-based pr

8 In each of four subjects, a functional MRI response in area V1 was found.

9 We investigated this issue using a functional MRI adaptation paradigm in awake male macaque

10 Using a functional MRI adaptation paradigm, we measured White pa

11 Using a functional MRI monetary reward task, the authors measure

12 rolled 15 deaf and 15 hearing adults into an functional MRI experiment during which they discriminate

13 To address this question, here we analyzed functional MRI data from an unprecedented number (n = 42

14 rking memory, other cognitive abilities, and functional MRI (fMRI) activation in data from over 11,50

15 t that volumetric analyses on anatomical and functional MRI contain clinically valuable information.

16 ciated memory deficits is controversial, and functional MRI studies in juvenile myoclonic epilepsy ha

17 t correlations between functional cortex and functional MRI tasks.

18 an substantia nigra (SN) using diffusion and functional MRI data from the Human Connectome Project.

19 G) to measure neuronal activity directly and functional MRI (fMRI) to measure hemodynamic activity du

20 onship between the three symptom domains and functional MRI neural reactivity during passive viewing

21 PET, SPECT, simultaneous EEG and functional MRI, and electrical and magnetic source imagi

22 ate D2DR availability were interrelated, and functional MRI-based resting-state functional connectivi

23 ew functional MRI-magnetoencephalography and functional MRI-EEG studies provide conclusive evidence t

24 es of data, including behavioral results and functional MRI brain activations, which augment the chal

25 d after surgery via visual analog scales and functional MRI.RESULTSBariatric surgery produced decreas

26 cture and function applied to structural and functional MRI data may provide insights into systems-le

27 Structural and functional MRI measures can assess the integrity of thes

28 intermediate-level skills in structural and functional MRI processing.

29 years old) who underwent both structural and functional MRI scanning.

30 Structural and functional MRI showed that ZIKV-infected infant rhesus m

31 Structural and functional MRI studies demonstrated mesial or lateral fr

32 diffusion-weighted MRI for tractography, and functional MRI during a finger tapping task.

33 methods for presurgical language mapping are functional MRI (fMRI) and direct cortical stimulation (D

34 ng and resource-consuming techniques such as functional MRI.In conclusion, there are important gaps i

35 onsistent with the recruitment of attention, functional MRI (fMRI) analyses of late learning stages s

36 sults were validated against empirical awake functional MRI data obtained from the same mice.

37 using diffusion-weighted imaging and n-back functional MRI data in a sample of 727 individuals (ages

38 ing of behaviour, model-free and model-based functional MRI, and effective connectivity dynamic causa

39 Here, using model-based functional MRI, we aimed to determine the brain systems

40 ranial magnetic stimulation with model-based functional MRI, we show that disrupting neural excitabil

41 sensitivity, 71% specificity) and task-based functional MRI (74% sensitivity, 77% specificity).

42 improves activation magnitude for task-based functional MRI language mapping in patients with brain t

43 led to a higher median z score of task-based functional MRI voxel activation in left hemisphere corti

44 ing blood oxygenation level-dependent (BOLD) functional MRI.

45 e was conducted in June 2019 for whole-brain functional MRI articles.

46 y, brain insulin sensitivity was assessed by functional MRI.

47 frontal gradient was further corroborated by functional MRI.

48 tivity during working memory, as measured by functional MRI (fMRI).

49 viable vasodilatory stimulus for calculating functional MRI-derived cerebral vascular reactivity (CVR

50 To address this issue, we collected functional MRI data and continuously assessed the heart

51 We applied a combined functional MRI-PET scanner to simultaneously probe mothe

52 Using a combined functional MRI/MRS approach, our results demonstrate tha

53 By combining functional MRI with ex-vivo high-resolution diffusion MR

54 tested this hypothesis in humans, combining functional MRI with a virtual navigation paradigm in whi

55 We used a Pavlovian classical conditioning functional MRI task to explore the relationship between

56 In the current functional MRI study, participants viewed point-light di

57 Here, we used real-time decoded functional MRI responses from the insula cortex as input

58 g resting-state blood oxygen level-dependent functional MRI to measure the fractional amplitude of lo

59 ent advances in blood oxygen level-dependent-functional MRI (BOLD-fMRI)-based neurofeedback reveal th

60 He showed no detectable functional MRI activity when repeating nonsense words.

61 During functional MRI acquisition, 71 youths (25 with DMDD, 24

62 During functional MRI scanning, children viewed pictures of the

63 e, then verbally described the events during functional MRI, producing unguided detailed descriptions

64 ideos of universal facial expressions during functional MRI acquisition, with simultaneous heart rate

65 serve/imitate task of emotional faces during functional MRI in 28 healthy adults, with final analyses

66 words (e.g., "bottle"), was performed during functional MRI scanning with 118 patients with panic dis

67 conditioning and extinction protocol during functional MRI.

68 naming tasks on words and pseudowords during functional MRI.

69 elations in relevant cortical regions during functional MRI language mapping in patients with brain t

70 essment for simultaneous PET scanning during functional MRI studies was performed with a spiral in-an

71 1), performed a threat-attention task during functional MRI acquisition.

72 event-related emotion-processing task during functional MRI.

73 demonstrate a potential link between dynamic functional MRI fluctuations and microstate dynamics, sug

74 ganglia-thalamic interactions using dynamic functional MRI measures given the putative role of these

75 the brain (e.g., electroencephalogram [EEG], functional MRI [fMRI]) and manifest variables of behavio

76 Applying this insight to empirical functional MRI data, we found that cognitive task activa

77 re-related artifacts on images from GRE-EPI (functional MRI) at the cranial coil wire and electrode c

78 fore, the rationale of this ultra-high-field functional MRI (fMRI) study was to test OXT against the

79 The ultra-high-field functional-MRI data show that abstract expectations can

80 population receptive field (pRF) methods for functional MRI data.

81 0 days using a well-established paradigm for functional MRI of trigeminal nociception.

82 During four functional MRI sessions, participants performed a batter

83 e correlation to derive visual features from functional MRI patterns elicited by a large set of homog

84 etwork dynamics were computed on images from functional MRI (3 T) by using a sliding-window approach.

85 he hardware-related artifacts on images from functional MRI.Materials and MethodsIn this prospective

86 ting stimuli, the authors used a frustration functional MRI (fMRI) paradigm to examine associations b

87 Here, functional MRI was used to identify the network of brain

88 methotrexate was also associated with higher functional MRI activity, with thicker cortices in dorsol

89 Hippocampus functional MRI analysis revealed considerable changes in

90 Human functional MRI (fMRI) research primarily focuses on anal

91 vasive measure of arousal, complements human functional MRI (fMRI) to detect periods of variable cogn

92 strongly coupled to regional differences in functional MRI variability.

93 mapping in neural responses as reflected in functional MRI, to show that quick learners have a highe

94 ructural MRI data are thus far inconsistent, functional MRI evidence in trans persons suggests change

95 Individual functional MRI task durations could be truncated by at l

96 d CBF should be considered when interpreting functional MRI studies comparing activation responses be

97 arameters, we used an arterial-spin-labeling functional MRI stress paradigm in 36 MS patients and 21

98 with epilepsy were identified with language functional MRI (fMRI) and diffusion MRI acquisition.

99 We measured functional MRI (fMRI) responses to natural sounds and de

100 nd an event-related verbal and visual memory functional MRI paradigm addressed mesiotemporal function

101 ciated with focal ischemia using a molecular functional MRI approach.

102 To clarify this conundrum, we decoded monkey functional MRI (fMRI) responses evoked by stimuli signal

103 ility Task during high-resolution, multiband functional MRI (fMRI); patients were then offered twice-

104 Here, we used multiecho functional MRI (fMRI) to measure developmental change in

105 ontal cortex, as measured using multivariate functional MRI.

106 Classifiers were trained on multivoxel functional MRI response patterns collected while observe

107 New functional MRI-magnetoencephalography and functional MRI

108 The authors used a novel functional MRI (fMRI) approach to assess brain responses

109 ain activity during a facial imitate/observe functional MRI task.

110 On two occasions, functional MRI (fMRI) scans were performed in the fasted

111 of this study was to evaluate the ability of functional MRI (fMRI) measures of cognitive control-rela

112 Multivariate analyses of functional MRI data demonstrated that, while food value

113 n strategy and graph theoretical analysis of functional MRI data in human patients with the laryngeal

114 life speaking using a multimodal analysis of functional MRI, intracranial EEG recordings, and large-s

115 Employing a combination of functional MRI (fMRI) and positron emission tomography (

116 Prediction from direct measures of functional MRI functional connectivity in a subset of pa

117 Previous modelling of functional MRI data has suggested that deep brain stimul

118 arent contradiction by examining patterns of functional MRI (fMRI) language activation in children (a

119 one hand by the spatiotemporal resolution of functional MRI and, on the other hand, by imperfect cros

120 This study reinforces the potential role of functional MRI in delivering precision medicine to child

121 Pattern analyses on functional MRI data show the hippocampus forms conjuncti

122 Purpose To investigate network dynamics on functional MRI in cognitively impaired patients with MS.

123 rontoparietal, and visual network regions on functional MRI in cognitively impaired participants vers

124 Conclusion As shown on functional MRI, cognitively impaired patients with multi

125 ral and topological domains, testing them on functional MRI BOLD signal data obtained from individual

126 In our functional MRI experiment (N = 31), neural responses to

127 Networks were applied to posttreatment functional MRI data to assess changes over time and abil

128 In the present functional MRI study, we demonstrate overlapping somatot

129 Previous functional MRI in controls has associated these aspects

130 nectome by intersecting previously published functional MRI maps of the brain regions that are activa

131 ge sample imaged with 27 min of high-quality functional MRI (fMRI) data (n = 693, ages 8-23 years), w

132 ced data collection protocol to collect rare functional MRI data in patients with subthalamic nucleus

133 h Parkinson's disease using an event-related functional MRI (fMRI) experiment design.

134 Here we use an event-related functional MRI (fMRI) task design to disentangle informa

135 interpretation and analysis of event-related functional MRI data.

136 ic reward learning task during event-related functional MRI.

137 Using resting-state and reward-related functional MRI data from humans and from rhesus macaques

138 s; 637 women) who completed a reward-related functional MRI task to assay VS activity and provided se

139 To address this issue, high-resolution functional MRI (fMRI) and multivariate pattern analysis

140 inar activity in humans with high-resolution functional MRI (fMRI).

141 ltivoxel pattern analysis of high-resolution functional MRI data in human participants to test for th

142 Here we use high-resolution functional MRI to interrogate the layer specificity of n

143 Laminar resolution, functional MRI (lfMRI) is sensitive to depth-dependent p

144 P-PCA) provides a novel strategy to separate functional MRI signal from noise without requiring user

145 the current study, we conducted two separate functional MRI experiments with language learners (male

146 their brain networks and simulated in silico functional MRI data.

147 mance was first evaluated by using simulated functional MRI data with a known ground truth.

148 -related differences have been found in some functional MRI (fMRI) studies.

149 mporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with repres

150 Results demonstrate that layer-specific functional MRI can be used in higher-order brain regions

151 rated quantitative stability during a spiral functional MRI sequence.

152 For T staging, functional MRI is superior to (11)C- or (18)F-choline PE

153 In standard functional MRI studies of the human superior colliculus,

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

155 In this study, we used dynamic resting state functional MRI analyses to increase temporal resolution

156 We compared resting state functional MRI data during chronic stimulation versus 1

157 To this end, we collected resting state functional MRI data of 31 patients with acute ischaemic

158 We separately acquired resting state functional MRI data using a novel multi-echo planar imag

159 ighted, diffusion weighted and resting state functional MRI data were acquired at 3 T for 12 asymptom

160 ganglia-thalamus network with resting state functional MRI in three groups of patients with differen

161 Static resting state functional MRI studies have already furthered our unders

162 d ones originating from static resting state functional MRI studies post-stroke.

163 ge cohort of healthy subjects (resting state functional MRI, n = 1000) to test whether lesion locatio

164 During resting state functional MRI, similar eigenvector centrality patterns

165 healthy control subjects using resting state functional MRI.

166 cognitive testing and 3-Tesla resting state functional MRI.

167 I, perfusion-weighted MRI, and resting state functional MRI] to investigate the neural mechanisms med

168 stimulation (tACS) [8-12] with resting-state functional MRI (fMRI) [13] to follow both changes in loc

169 lized (1)H MR spectroscopy and resting-state functional MRI (fMRI) at 11,7T data from stressed (n = 2

170 We used resting-state functional MRI (fMRI) in 162 participants to characteriz

171 Here, we examined variation in resting-state functional MRI (fMRI) in around 900 individuals scanned

172 Recent resting-state functional MRI (fMRI) studies have revealed that the glo

173 The authors used resting-state functional MRI (fMRI) to develop a prognostic index in a

174 control participants and used resting-state functional MRI (fMRI) to measure functional connectivity

175 netic resonance imaging (MRI), resting-state functional MRI (fMRI), and sensory-evoked fMRI on 20 mic

176 reward network, assessed using resting-state functional MRI (fMRI), to predict the onset of depressio

177 usion tensor imaging (DTI) and resting-state functional MRI (rfMRI) data were acquired from 38 indivi

178 stituents of the rat DMN using resting-state functional MRI (rs-fMRI) and diffusion tensor imaging.

179 n models based on single visit resting-state functional MRI (rs-fMRI) data that assess observed longi

180 pilepsy surgery, postoperative resting-state functional MRI (rs-fMRI) was performed 6 to 12 months la

181 usion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI), for computing multiple metric

182 assessment, structural MRI and resting-state functional MRI (rs-fMRI).

183 ty using daily 30-min scans of resting-state functional MRI (rs-fMRI).

184 lying a clustering analysis on resting-state functional MRI (RSfMRI) data from white-matter voxels, i

185 Resting-state functional MRI (rsfMRI) has recently revealed correlated

186 oups in age-related changes in resting-state functional MRI amygdala-to-whole brain connectivity from

187 lowed for 1 year and underwent resting-state functional MRI and diffusion tensor imaging at each time

188 study underwent structural and resting-state functional MRI at baseline.

189 h glioma who underwent MRI and resting-state functional MRI between January 2016 and July 2017.

190 Although resting-state functional MRI cannot provide direct insights into the d

191 al connectivity analyses using resting-state functional MRI collected in the same participants reveal

192 t between-group comparisons of resting-state functional MRI data (total n = 510) were performed: (i)

193 Additionally, resting-state functional MRI data acquired before the stimulation sess

194 rain functional networks using resting-state functional MRI data acquired from 18 patients (11 vegeta

195 ology in head-motion-corrected resting-state functional MRI data acquired from 78 patients with bipol

196 tional connectivity to compare resting-state functional MRI data from awake volunteers, propofol-anae

197 The global signal in resting-state functional MRI data is considered to be dominated by phy

198 We used resting-state functional MRI data to analyze the brain connectome at v

199 using a large multisite study, resting-state functional MRI data were examined in young children with

200 sing of affective stimuli, and resting-state functional MRI experiments, which have identified brain-

201 Background Resting-state functional MRI holds substantial potential for clinical

202 Resting-state functional MRI may represent a promising tool to develop

203 tumors exert local effects on resting-state functional MRI readings.

204 We used resting-state functional MRI recordings in 27 patients with TLE (67% r

205 epressive symptoms completed a resting-state functional MRI scan.

206 T1-weighted and resting-state functional MRI scans were collected on a 3T Siemens scan

207 We used resting-state functional MRI to examine whether the functional connect

208 We applied novel fetal resting-state functional MRI to measure brain function in 32 human fet

209 Resting-state functional MRI was acquired at pretreatment baseline on

210 loping (TD) controls underwent resting-state functional MRI, and functional connectivity of executive

211 rmative human connectome data (resting-state functional MRI, n = 1000) and contrasted with those obta

212 Here, using resting-state functional MRI, we show that the timescale of ongoing dy

213 -particularly structural MRI, resting--state functional MRI, and diffusion tensor imaging--are highly

214 functional connectivity using resting-state functional MRI.

215 l asymmetry in the brain using resting-state functional MRI.

216 f functional connectivity with resting-state functional MRI.

217 mes during natural sleep using resting-state functional MRI.

218 nd, placebo (PLC)-controlled, within-subject functional MRI study design.

219 es 20 to 85 y; n = 636, ages 18 to 88 y) 3 T functional MRI (fMRI) datasets.

220 application of inspiratory loading using 7 T functional MRI.

221 ion, sentence completion, and finger tapping functional MRI tasks were retrospectively identified bet

222 eneral linear modelling of the movement task functional MRI data revealed deep brain stimulation-asso

223 Activation maps from the task-functional MRI scans were used for target selection and

224 This study shows that functional MRI predicts response to vascular-targeted th

225 The functional MRI data revealed that tau burden (but not am

226 basal ganglia circuit that could explain the functional MRI activity at rest in an attempt to reprodu

227 ed-route foraging task in an open field, the functional MRI signal in right entorhinal cortex exhibit

228 he structural MRI data, (iii) preprocess the functional MRI data, (iv) identify the single-subject st

229 The goal of this functional MRI (fMRI) study was to examine task-induced

230 amined the therapeutic efficacy of real-time functional MRI neurofeedback (rtfMRI-nf) training aimed

231 We developed a closed-loop, real-time functional MRI neurofeedback task with virtual reality a

232 network connectivity analysis was applied to functional MRI scans obtained from 65 women with histori

233 were seeded by a neuroradiologist blinded to functional MRI findings.

234 network model of self-directed cognition to functional MRI data from 71 adolescents and young adults

235 eity substantially improves the model fit to functional MRI (fMRI)-measured resting-state functional

236 Two functional MRI scans were collected from 72 war veterans

237 Children also completed two functional MRI tasks, which measured amygdala responsivi

238 To address this question, we conducted two functional MRI experiments in which we dissociated the p

239 In two functional MRI studies, we examine the effect of baselin

240 udinal design, with 456 twins undergoing two functional MRI sessions across the transition from middl

241 eighborhood, city, country, continent) under functional MRI.

242 ed a passive avoidance task while undergoing functional MRI.

243 ed a passive avoidance task while undergoing functional MRI.

244 21; mean age, 16.4 years [SD=1.9]) underwent functional MRI (fMRI) before and after treatment; simila

245 users and 17 control subjects also underwent functional MRI imaging using the monetary incentive dela

246 lial risk of developing depression underwent functional MRI while recalling autobiographical memories

247 163 MDD and 62 healthy individuals underwent functional MRI during pre-treatment baseline and 8-week

248 Separate participants underwent functional MRI while considering famous individuals and

249 METHOD: Individuals with PTSD underwent functional MRI (fMRI) at rest and while completing three

250 METHOD: Individuals with PTSD underwent functional MRI (fMRI) while completing three tasks asses

251 mic nucleus deep brain stimulation underwent functional MRI at rest and during a movement task; once

252 nd trial with 48 obese participants and used functional MRI to study the effects of lorcaserin on the

253 The authors used functional MRI and machine learning models to address in

254 This study used functional MRI (fMRI) and a contemporary analytic approa

255 Here, we used functional MRI (fMRI) in human participants to study the

256 We used functional MRI (fMRI) to determine the brain response to

257 We used functional MRI (FMRI) to examine whether individuals' ne

258 Herein, we used functional MRI and psychophysiological tools to examine

259 We used functional MRI to investigate the role of the cerebellum

260 Here we used functional MRI to scan autistic males (n = 19) without i

261 Here we used functional MRI, microstimulation, electrophysiology, and

262 Using functional MRI (fMRI), we find that the newborn somatomo

263 Using functional MRI (fMRI), we studied whether neural embodim

264 Using functional MRI and behavioral measures in female and mal

265 Using functional MRI in a group of individuals sampled across

266 Using functional MRI, brain activity was compared in unmedicat

267 Using functional MRI, the authors examined whole brain resting

268 Using functional MRI, we assessed brain perfusion responses to

269 Using functional MRI, we contrasted responses elicited by stim

270 Using functional MRI, we demonstrated that the core empathy ne

271 Using functional MRI, we examined hemispheric specialization a

272 Using functional MRI, we investigated the effect of constraini

273 Using functional MRI, we investigated these mechanisms in heal

274 Using functional MRI, we show that individual differences in t

275 Using functional MRI, we show that signal reduction in the amy

276 Using functional MRI, we show these social prediction errors c

277 We examined brain activation using functional MRI in 80 children with type 1 diabetes (mean

278 in age and the 'data-driven' brain age using functional MRI (fMRI) and diffusion MRI (dMRI).

279 oned fear generalization were assessed using functional MRI and behavioral measures in U.S. combat ve

280 oned fear generalization were assessed using functional MRI and behavioral measures in U.S. combat ve

281 ructural properties of their fascicles using functional MRI, diffusion MRI, and quantitative MRI.

282 rontal and parietal regions identified using functional MRI.

283 prediction error signalling (measured using functional MRI).

284 neural responses in human participants using functional MRI and high-density EEG.

285 and Neuroscience (Cam-CAN) was scanned using functional MRI during two versions of an experiment: a n

286 Here, we show using functional MRI (fMRI) that at least three hypothalamic s

287 to mechanical ventilation were studied using functional MRI to assess hippocampal activity.

288 We addressed this using functional MRI of naturalistic, dynamic facial emotion p

289 We developed a single-vessel functional MRI (fMRI) method to image the contribution o

290 erformance by evaluating neural activity via functional MRI, both before and after the application of

291 proportion of heritable variance in in-vivo functional MRI signal amplitude.

292 g the histology-derived MTL model to in-vivo functional MRI, we furthermore determined how its cytoar

293 We use blood-volume functional MRI to monitor longitudinally the responsiven

294 formed an object and scene memory task while functional MRI data were acquired.

295 tes of sucrose solution or ionic water while functional MRI data were acquired.

296 ry incentive delay task (in conjunction with functional MRI) and a probabilistic reward learning task

297 stemic glucose tolerance was consistent with functional MRI data in human volunteers that revealed an

298 ords while neural activity was measured with functional MRI.

299 =47; never affected, N=99) were scanned with functional MRI (fMRI) (N=85), magnetoencephalography (N=

300 atry.SIGNIFICANCE STATEMENT In recent years, functional MRI (fMRI) has revolutionized all fields of n