ライフサイエンスコーパス: fMRI

1 fMRI activity patterns were distinct for movements of di

2 fMRI noninvasively measures brain activity, allowing ide

3 fMRI provided reliable evidence of preserved minimal con

4 fMRI results showed a relationship between ACC activatio

5 Here, using 7T fMRI in humans (both sexes), we observed that prior know

6 ons that support insight solutions, although fMRI and EEG evidence for its involvement is, by nature,

7 n level of brain blood are widely used as an fMRI-based surrogate of "resting-state" neuronal activit

8 proximately 3 weeks later, they completed an fMRI paradigm involving extinction recall, in which they

9 ged from normal weight to obese completed an fMRI paradigm where they viewed unhealthy and healthier

10 During each session, all completed an fMRI task designed to tap boundary- and landmark-based n

11 To test this prediction, we conducted an fMRI experiment in which subjects imagined and then view

12 oactivation patterns in a large sample of an fMRI dataset (n = 837) from the Human Connectome Project

13 Here, using an fMRI adaptation paradigm, we demonstrate that while the

14 We acquired behavioral and fMRI data from older and younger adults (male and female

15 in the visual system, we used behavioral and fMRI tasks to demonstrate a significant reduction in neu

16 vides preliminary evidence for diffusion and fMRI markers linked to the progression of synuclein path

17 ical scales, neurocognitive functioning, and fMRI of unexpected financial reward.

18 is reflected in visual task performance and fMRI measures in ASD, and may be attributable to differe

19 The current study used rTMS and fMRI during a working memory task to test this hypothesi

20 ings in single neurons at a micron scale and fMRI measurements at a millimeter scale.

21 transcranial magnetic stimulation (TMS) and fMRI to test the role of awake consolidation processes b

22 interstitial inflammation and tubulitis and fMRI analysis revealed improved allograft perfusion in L

23 adult human brain remains controversial, as fMRI at standard resolution does not allow us to discern

24 ale human participants), using group-average fMRI coordinates to target LOC and OPA.

25 MS, even when defined based on group-average fMRI coordinates.

26 Using model-based fMRI, we found that activity in the rostrolateral and ve

27 e neural level, computational modeling-based fMRI analyses revealed that 5-HT depletion altered socia

28 Using ROI-based fMRI analysis, we measured fMRI activity for valid and i

29 econdary outcome measures include task-based fMRI (RISE task), mismatch negativity, the Scale for the

30 es how to integrate the tool in a task-based fMRI investigation workflow.

31 provide converging evidence from task-based fMRI, diffusion-weighted imaging, and functional connect

32 with a post hoc meta-analysis on task-based fMRI.

33 ven estimates of these effects in task-based fMRI.

34 Because fMRI data are correlational, it is unknown whether activ

35 The discrepancy between fMRI and electrophysiological measurements can be explai

36 manipulations in sub-millimeter laminar BOLD fMRI.

37 n artefacts, in combination, render rER BOLD fMRI challenging in NHP.

38 Here, we used rER BOLD fMRI in macaque monkeys while viewing real-world images,

39 However, using BOLD fMRI in NHP is desirable for interspecies comparison, an

40 However, brain fMRI and post hoc analyses by site suggest that walnuts

41 Results of brain fMRI in a subset of Barcelona participants indicated gre

42 Using whole-brain fMRI adaptation and searchlight model-based representati

43 efficiency during working memory measured by fMRI have the potential to be neuroimaging biomarkers fo

44 rd contingencies are defined in real-time by fMRI multivoxel patterns; optimal action policies thereb

45 level-dependent (BOLD) method for collecting fMRI data, called vascular space occupancy (VASO) [4, 5]

46 Combined fMRI and EEG measurements demonstrate that the perceived

47 In the human brain, common fMRI methods such as cluster correction, atlas parcellat

48 Here, we reconstructed compromised fMRI signal using deep machine learning.

49 Concurrent fMRI data reveal that, upon entering a context, differen

50 anial magnetic stimulation during concurrent fMRI.

51 ined of 30 right-handed adults by conducting fMRI at 3 Tesla using a reward paradigm.

52 to complete and demonstrates how constrained fMRI targeting combined with iterative E-field modeling

53 In the current fMRI study, we tested whether dACC is generally active w

54 Conventional DBS-fMRI, however, lacks the sensitivity needed for decoding

55 talking, or traffic noise, induce decodable fMRI activation patterns in early visual cortex of sight

56 machine-learning methods to high-dimensional fMRI data, and minimal documentation and training materi

57 During fMRI scanning of 32 human participants (21 females), we

58 During fMRI, individuals with amusia (N = 15) and controls (N =

59 rols (n = 24, mean age 22, 8 females) during fMRI scanning.

60 pants playing three Atari video games during fMRI.

61 ted an emotional face-processing task during fMRI and blood sampling before and after their first IFN

62 gh- or low-distracting detection task during fMRI in 2 test sessions.

63 ants performed a social learning task during fMRI scanning, as part of which they learned association

64 ward-guessing game, the 'Doors' task, during fMRI in a drug-free state.

65 he Go-Nogo task and the Flanker task, during fMRI scanning.

66 Several studies have used dyadic fMRI hyperscanning to examine the interaction between tw

67 type of information that characterises each fMRI contrast.

68 te functional MRI (fMRI), and sensory-evoked fMRI on 20 mice injected with alpha-syn fibrils and 20 P

69 probed this question using ultra high field fMRI data to compare rat, marmoset, and human MFC functi

70 marmosets and humans using ultra-high field fMRI.

71 Here, we used high-field fMRI at 7 Tesla to measure BOLD responses to task-irrele

72 g visual event timing using ultra-high-field fMRI.

73 ty concerns of the established protocols for fMRI preprocessing.

74 In four fMRI scans equally spanning a 6-week training period, we

75 NT We showed that a single, short, task-free fMRI acquisition is able to identify four reproducible a

76 results support the application of task-free fMRI in future research to study functionality of langua

77 al brain-behavior relationships derived from fMRI, diffusion tensor imaging, and online repetitive tr

78 age in humans has been largely inferred from fMRI during urodynamic studies driven by catheter infusi

79 Furthermore, fMRI analyses revealed NTRK2 methylation-dependent diffe

80 Our results also suggest that future fMRI research could benefit from a closer examination of

81 d into disease-specific components of global fMRI signals that may drive these results and of GBCr as

82 Here, fMRI participants (N = 40) overtly (verbally) recalled m

83 of reward-guided learning observed in human fMRI studies by using a proxy signal for BOLD in a freel

84 ng functional connectivity analyses of human fMRI data (both sexes), we show that fast spindle densit

85 ivariate analyses, we demonstrate that human fMRI activity patterns for flexion or extension of the s

86 y all functional magnetic resonance imaging (fMRI) analyses is that the relationship between local ne

87 used functional magnetic resonance imaging (fMRI) and examined the effects of two consecutive nights

88 with functional magnetic resonance imaging (fMRI) and glutamate (Glu) concentration with magnetic re

89 state functional magnetic resonance imaging (fMRI) and photometry-based neuronal calcium recordings i

90 with functional magnetic resonance imaging (fMRI) and with magneto- or electroencephalography (M/EEG

91 n and functional magnetic resonance imaging (fMRI) are capable of resolving such changes and thus sho

92 Functional magnetic resonance imaging (fMRI) can be combined with drugs to investigate the syst

93 es on functional magnetic resonance imaging (fMRI) data to assess this issue in the case of fear.

94 using functional magnetic resonance imaging (fMRI) for the first time.

95 that functional magnetic resonance imaging (fMRI) functional connectivity techniques will shed light

96 ng 7T functional magnetic resonance imaging (fMRI) in female and male human participants and compared

97 ow up functional magnetic resonance imaging (fMRI) in the more restricted scanner environment.

98 Functional magnetic resonance imaging (fMRI) is a standard tool to investigate the neural corre

99 on of functional magnetic resonance imaging (fMRI) is fundamentally limited by effects from large dra

100 Functional magnetic resonance imaging (fMRI) revealed two distinct patterns of activity, one in

101 rming functional magnetic resonance imaging (fMRI) scans of children can be a difficult task, as part

102 ds of functional magnetic resonance imaging (fMRI) studies have provided important insight into the h

103 Functional magnetic resonance imaging (fMRI) studies indicate that DBS stimulation targets depe

104 this functional magnetic resonance imaging (fMRI) study human observers (female and male) were prese

105 used functional magnetic resonance imaging (fMRI) to investigate the neural codes for representing s

106 (7T) functional magnetic resonance imaging (fMRI) to reveal that prior expectations evoke stimulus-s

107 using functional magnetic resonance imaging (fMRI) to test whether unexpected events regardless of wh

108 eased functional magnetic resonance imaging (fMRI) ventral striatum activation during reward anticipa

109 Functional magnetic resonance imaging (fMRI) was performed during a Go/NoGo task and a Stop-sig

110 Functional magnetic resonance imaging (fMRI) was performed on day 6 to study allograft perfusio

111 state functional magnetic resonance imaging (fMRI), and found that neonates showed similar functional

112 Functional magnetic resonance imaging (fMRI)-based functional connectivity (FC) commonly charac

113 using functional Magnetic Resonance Imaging (fMRI).

114 uring functional magnetic resonance imaging (fMRI).

115 MRI], functional magnetic resonance imaging [fMRI], and positron electron tomography [PET]) to explai

116 In fMRI data, the integrity of the posterior DMN was found

117 In simulation and in fMRI data collected in the well studied domain of face p

118 ral dynamics of brain states, as measured in fMRI, are reshaped from predominantly bistable transitio

119 ntal procedures without restraint, including fMRI.

120 s, and a variety of MRI techniques including fMRI, MR volumetry, spectroscopy and DTI captured functi

121 cture nodes in ITC mainly elicited increased fMRI activations in the other 3D-structure nodes and mor

122 he goal of creating methods for awake infant fMRI that can reveal the inner workings of the developin

123 Since social and language fMRI tasks performed best among the neural discriminator

124 Using a large fMRI dataset (30 experiments/481 participants/678 sessio

125 activity on population codes in macroscopic fMRI data.

126 ject, pre-registered and performance-matched fMRI design, we observed quadratic confidence effects in

127 Concurrently measured fMRI effects of task and stimulation indicated that the

128 Using ROI-based fMRI analysis, we measured fMRI activity for valid and invalid trials (target at cu

129 n activation during an n-back working memory fMRI task.

130 and promising application of sub-millimeter fMRI is measuring responses across cortical depth, i.e.

131 ystem), it is possible to achieve low-motion fMRI data in pediatric participants (age range: 7-17 yea

132 her cognitive abilities, and functional MRI (fMRI) activation in data from over 11,500 9- to 10-year-

133 he recruitment of attention, functional MRI (fMRI) analyses of late learning stages showed left parie

134 this issue, high-resolution functional MRI (fMRI) and multivariate pattern analysis were used to cha

135 with 27 min of high-quality functional MRI (fMRI) data (n = 693, ages 8-23 years), we delineate how

136 = 636, ages 18 to 88 y) 3 T functional MRI (fMRI) datasets.

137 We used resting-state functional MRI (fMRI) in 162 participants to characterize risk- and resi

138 d variation in resting-state functional MRI (fMRI) in around 900 individuals scanned between 8 AM and

139 ion by examining patterns of functional MRI (fMRI) language activation in children (ages 4 through 13

140 Functional MRI (fMRI) studies have reported altered integrity of large-s

141 Recent resting-state functional MRI (fMRI) studies have revealed that the global signal (GS)

142 nces have been found in some functional MRI (fMRI) studies.

143 A functional MRI (fMRI) substudy examined effects on activity in the anter

144 Here we use an event-related functional MRI (fMRI) task design to disentangle information expectation

145 Here, we show using functional MRI (fMRI) that at least three hypothalamic subsystems are in

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

147 Functional MRI (fMRI) was used to scan fully hydrated participants while

148 imaging (MRI), resting-state functional MRI (fMRI), and sensory-evoked fMRI on 20 mice injected with

149 Using functional MRI (fMRI), we studied whether neural embodiment actually occ

150 electroencephalogram [EEG], functional MRI [fMRI]) and manifest variables of behavior (e.g., respons

151 ing ultrahigh-field (7 T) ultrafast (802 ms) fMRI optimized for single-participant-level detection se

152 lation was robustly observed across multiple fMRI paradigms, suggesting a brain-state-independent neu

153 Multivariate fMRI pattern analysis revealed the lateral prefrontal co

154 Using univariate and multivariate fMRI analyses (n = 65), we examined how gender and socio

155 most commonly used exploratory multivariate fMRI technique.

156 New fMRI experiments and machine learning are helping to ide

157 Go-Nogo fMRI results showed decreased inhibition-related neural

158 in by discussing the potential advantages of fMRI functional connectivity methods for improving our u

159 Next, analysis of fMRI BOLD data revealed activity across a frontoparietal

160 hod for functional brain network analysis of fMRI data based on the multi-graph unsupervised Gaussian

161 Univariate and multivariate analysis of fMRI data revealed that a private-public distinction is

162 We discovered a strong dissociation of fMRI response magnitude between region MT+ and V1 in ind

163 ain in 10 highly sampled individuals (5 h of fMRI data per person).

164 Last, methodological limitations of fMRI can lead to spurious functional connections.

165 es, we found consistent temporal ordering of fMRI signals in the cortex relative to amygdala subdivis

166 earning helps exploit the high resolution of fMRI to improve the interpretation of local neurometabol

167 by capitalizing on the spatial resolution of fMRI to predict local neurotransmitters in the PFC.

168 ain signals parallels the known stability of fMRI-based intrinsic FC architecture.

169 to date, progress on clinical translation of fMRI methods has been limited.

170 onal representational similarity analyses on fMRI data assessed the evidence that a set of cortical a

171 iratory patterns have distinct influences on fMRI signals and signal covariance, distinct timescales,

172 algorithmically, two prevalent influences on fMRI signals during 440 h of resting state scans in 440

173 ependent component analysis was performed on fMRI data to assess DMN suppression during Stroop perfor

174 Participants performed fMRI tasks with Adult Mind (AM) and Child Mind (CM) cond

175 ere we used a combination of pharmacological fMRI (phMRI), resting-state fMRI (rsfMRI), and resting-s

176 (2020) combine big and higher-precision fMRI data to find that maturational processes and cognit

177 then discuss the budding field of precision fMRI and findings garnered from this work.

178 We demonstrate that precision fMRI can improve the reliability of functional connectiv

179 hese limitations: the use of new "precision" fMRI approaches that shift the focus of analysis from gr

180 In the present fMRI experiment, we show that learning and nucleus accum

181 In a meta-analysis, we classify 121 previous fMRI reports of IPL activity arising from episodic memor

182 n and autobiographical memory tasks in prior fMRI data and significantly colocated with prior maps of

183 ipants completed a facial-emotion processing fMRI task at least 8 days apart using a randomised doubl

184 Recent fMRI experiments identified an attention-related region

185 ifferences in reinforcement-learning related fMRI activation.

186 working memory performance to memory-related fMRI activation in an emotional n-back task demonstrate

187 ata, thus potentially allowing more reliable fMRI findings.

188 Previous studies have shown that rER fMRI is possible in macaques with MION, despite MION's p

189 bmillimeter scale with ultra-high-resolution fMRI in humans.SIGNIFICANCE STATEMENT Visual recognition

190 Using ultra-high-resolution fMRI of human VTC, we found differential distributed vis

191 Here, we used high-resolution fMRI to examine the contributions of hippocampal subfiel

192 Using high-resolution fMRI, collected within an ultra-high-field (7 T) scanner

193 oidance conflict task during high-resolution fMRI.

194 Using sub-millimeter-resolution fMRI at 7T, we resolved BOLD-response and activation pat

195 in nonhuman primates and standard-resolution fMRI in humans by elucidating distributed responses at t

196 onnectivity and causal excitability, resting fMRI and TMS/EEG were performed before and after the tre

197 strated that it is possible to obtain robust fMRI correlates of task-related activity during concurre

198 rs-fMRI sessions were conducted on a cohort of rabbits befo

199 apacity; correlation coefficients between rs-fMRI time series of cortical networks and thalamic regio

200 water, and had a 10 min "fuller bladder" rs-fMRI scan approximately 1 h later.

201 A second 10 min "empty bladder" rs-fMRI scan was conducted immediately following micturitio

202 to further establish resting-state fMRI (rs-fMRI) and enable its validation for clinical use.

203 estion, (2) examining resting state fMRI (rs-fMRI) which is more natural since it is not linked with

204 te functional magnetic resonance imaging (rs-fMRI) and human intracranial electroencephalography (EEG

205 resting-state magnetic resonance imaging (rs-fMRI) can be useful to explore the effect of chess playi

206 te functional magnetic resonance imaging (rs-fMRI) data and the diffusion-weighted magnetic resonance

207 RS functional magnetic resonance imaging (RS-fMRI) studies are unclear and difficult to interpret, an

208 ingle visit resting-state functional MRI (rs-fMRI) data that assess observed longitudinal motor and c

209 in scans of resting-state functional MRI (rs-fMRI).

210 PA-PET) and resting state functional MRI (rs-fMRI).

211 ith a specific stimulus, and (3) relating rs-fMRI measures to self-report (urinary urge) and physiolo

212 connectivity density (FCD) maps in single rs-fMRI visits, which showed high test-retest reliability.

213 Thus, rs-fMRI can provide not only a tool to detect and monitor f

214 correlation, and meta-state approaches to rs-fMRI data.

215 rmed a willingness-to-eat task in a separate fMRI measurement.

216 We analyze data from seven fMRI studies (N = 165) and five types of pain and discom

217 eloped separate models for each of the seven fMRI tasks used in the study.

218 Furthermore, most standard fMRI analysis packages (e.g., AFNI, FSL, SPM) focus on p

219 d the relatively low reliability of standard fMRI techniques at the individual level.

220 water ingestion, (2) examining resting state fMRI (rs-fMRI) which is more natural since it is not lin

221 y participants across baseline resting state fMRI as well as two distinct levels of propofol-induced

222 Resting state fMRI data of 130 individuals (65 melancholic major depre

223 ty to differentially influence resting state fMRI studies.

224 potential to further establish resting-state fMRI (rs-fMRI) and enable its validation for clinical us

225 pharmacological fMRI (phMRI), resting-state fMRI (rsfMRI), and resting-state quantitative EEG (qEEG)

226 controls, using a simultaneous resting-state fMRI and (18)F-FDG PET.

227 RSNs) in awake marmosets using resting-state fMRI and then compared these networks with those in huma

228 tudied in humans of either sex resting-state fMRI connectivity associated with performance in line bi

229 connectivity contrast, ICC) to resting-state fMRI data acquired in 108 individuals (n = 35 and n = 38

230 human primates, and mice using resting-state fMRI data in all species.

231 heoretic analyses of 7.0-Tesla resting-state fMRI data revealed that CA3 damage disrupted functional

232 ity between brain regions from resting-state fMRI data.

233 Using diffusion-weighted and resting-state fMRI in a group of female and male subjects, we found st

234 Using resting-state fMRI in the youngest sample of newborn humans tested to

235 , we used a recently developed resting-state fMRI measure of intrinsic neural timescale (INT), which

236 ly consistent between task and resting-state fMRI, improved age-based classification and provided bet

237 leted 7 days of actigraphy and resting-state fMRI.

238 fault mode), assessed from the resting-state fMRI.

239 Here we report a novel task-fMRI technique to identify task-specific networks and an

240 h spatial resolution of 0.8 mm using 7 Tesla fMRI in both male and female participants.

241 Employing high-field strength (7 Tesla) fMRI techniques, this study imaged the superior collicul

242 findings demonstrate the potential use of tf-fMRI to investigate the functional status of language ne

243 In this study, we assessed the ability of tf-fMRI to isolate reproducible networks critical for speci

244 -brain seed-based correlation analyses on tf-fMRI data to identify ICNs anchored in regions known for

245 Given that fMRI reflects predominantly input and recurrent activity

246 Analyzing the fMRI data, for AEA and 2-AG ANCOVAs were calculated usin

247 edictions, we used a linear model to fit the fMRI response of human participants (both sexes) to a mu

248 and were in line with the findings from the fMRI experiment.

249 ive to negative emotion was estimated in the fMRI data using a multivariate dynamical systems model.

250 healthy control subjects participated in the fMRI experiment to identify dysfunctional responses asso

251 n pathway to demonstrate dissociation in the fMRI response magnitude between adjacent stages of proce

252 The primary outcome of the fMRI substudy (N=20) was change in ACC activity.

253 an subjects (n = 10) was correlated with the fMRI response evoked by disparity-varying stimuli in hum

254 In this fMRI study, 96 male human participants learned to avoid

255 nt role in the responses of neurons in three fMRI-defined face patches of the macaque.

256 on using hidden Markov models; and real-time fMRI.

257 This combined TMS-fMRI approach provides an opportunity for causal manipul

258 rols were also evaluated with concurrent TMS/fMRI.

259 lication, we simultaneously fit the model to fMRI and behavioral data from a continuous motion tracki

260 use these methods to collect and analyze two fMRI datasets obtained from infants during cognitive tas

261 stes (salty, sweet, sour, and bitter) in two fMRI experiments on two different days to test for task-

262 In two fMRI studies (the second a pre-registered replication of

263 el level may manifest differently in typical fMRI data, and their effects are modulated by tuning het

264 ) performed a learning task while undergoing fMRI scanning.

265 d autobiographical memories while undergoing fMRI.

266 vel face or two novel faces while undergoing fMRI.

267 on and memory control tasks while undergoing fMRI.

268 Following cTBS, participants underwent fMRI and performed a simulation, divergent thinking, and

269 ce-shape or scene-shape), and then underwent fMRI scanning while they encoded overlapping association

270 Previous studies have used fMRI to investigate this phenomenon, and while some have

271 We used fMRI to characterize VOTC responses to eight categories

272 In this study, we used fMRI to determine laterality for all five functions in e

273 We used fMRI to examine neural representation of task identity,

274 Here we used fMRI-guided transcranial magnetic stimulation (TMS) and

275 The current study uses fMRI and Multi-Dimensional Experience Sampling (MDES) to

276 Using fMRI (n = 31), we find that relative uncertainty is repr

277 Using fMRI, we examined whether category selectivity for anima

278 Using fMRI, we observed the neural responses evoked by the con

279 Using fMRI, we propose an analytical pipeline to identify abno

280 Using fMRI, we show that signed RPEs (SRPEs) are encoded in th

281 By using fMRI, we can examine this correspondence between categor

282 s and neural markers of self-criticism using fMRI.

283 y navigating the immediate environment-using fMRI in 5- and 8-year-old children.

284 Here, using fMRI, we show that entorhinal and ventromedial prefronta

285 d human participants (N = 31; 11 male) using fMRI across three phases of a training study: during tra

286 ovie while brain activity was measured using fMRI.

287 eractions during periods of awake rest using fMRI.

288 were assessed at age 14- and 19-years using fMRI while performing a facial emotion task.

289 patients with AUD were assessed for whether fMRI responses at treatment initiation were influenced b

290 scene location, and an emotional sound while fMRI data were collected.

291 rtual environments and then (concurrent with fMRI) performed a planning and navigation task that coul

292 l magnetic stimulation (TBS) concurrent with fMRI, as an immediate impact of stimulation would sugges

293 of heart rate deceleration concurrently with fMRI to provide convergent validation of induced affect

294 that network controllability correlates with fMRI modulation because of working memory load and with

295 during attentive tracking was measured with fMRI.

296 cognitive tasks and eye-gaze monitoring with fMRI acquisition and analysis.

297 When measuring this organization with fMRI at a coarse spatial scale, the activity patterns fo

298 ound support for key neural predictions with fMRI.

299 Here, we combined psychophysics with fMRI to detect the neural processes underlying somatosen

300 ons, we combined electrical stimulation with fMRI in male macaque monkeys.