ライフサイエンスコーパス: brain imaging

1 possibilities for functional and multimodal brain imaging.

2 ch areas in CS theory and its application to brain imaging.

3 included 503 older adults with SVD noted on brain imaging.

4 ed, 1000 youths aged 8 to 22 years underwent brain imaging.

5 the macroscopic measurements obtained during brain imaging.

6 ial electrodes and mapped by high-resolution brain imaging.

7 ll participants underwent magnetic resonance brain imaging.

8 72 patients who had longitudinal multimodal brain imaging.

9 cause of improved and more readily available brain imaging.

10 f glucose uptake as visualized by functional brain imaging.

11 responses that can be detected by functional brain imaging.

12 confirmed glioblastoma multiforme underwent brain imaging.

13 on on the brain can be tracked with detailed brain imaging.

14 rmalities, and diffuse cerebellar atrophy on brain imaging.

15 of neural connectivity from neuroanatomy and brain imaging.

16 nimal in non-time-of-flight (18)F-FDG PET/MR brain imaging.

17 nce projections, as shown using iDISCO whole-brain imaging.

18 uidelines and assess the clinical utility of brain imaging.

19 (2.7%) patients, all with an indication for brain imaging.

20 ontrol and better diagnosis from advances in brain imaging.

21 elet transfusion within 90 min of diagnostic brain imaging.

22 Seven additional subjects underwent dynamic brain imaging 0-120, 150-180, and 210-240 min after bolu

23 Using high-resolution functional brain imaging (0.8 mm(3)) and multivoxel pattern informa

24 At the time of brain imaging, 1.5 years after initial phenotyping, the

25 into all types of movements [7], functional brain imaging [8], and treatment of vestibular and highe

26 atients were accompanied by stabilization in brain imaging, a reduction of echocardiographic estimate

27 mental illness guided by results from human brain imaging: a systematic study using small animal pos

28 While patients with more severe brain imaging abnormalities and systemic manifestations

29 ical relevance of abnormal findings on early brain imaging after MTBI is demonstrated.

30 zers (NMR >/= 0.26)-underwent 2-(18)F-FA-PET brain imaging after overnight nicotine abstinence (18 h

31 Whole-brain imaging allowed the identification of two key infl

32 Brain imaging analyses highlighted higher dorsal anterio

33 Methods:(18)F-FDG PET brain imaging and a comprehensive battery of neuropsycho

34 Brain imaging and a novel 'body-swop' illusion reveals d

35 Using functional brain imaging and a specific cognitive paradigm, modelli

36 inations, with a proportion also undertaking brain imaging and analysis of molecular pathology.

37 Magnetic resonance brain imaging and angiography (MRI and MRA) at exit show

38 ata resource can be used to link genetics to brain imaging and behavior, and to study the role of pos

39 They provide the closest link to brain imaging and can give important insights into socia

40 ng relationships between biological markers, brain imaging and clinical parameters may provide an imp

41 With advances in brain imaging and completion of randomized clinical tria

42 mic event (permanent stroke [confirmation on brain imaging and deficit in motor, sensory, or coordina

43 ents in predictive feedback using functional brain imaging and eye-tracking whilst presenting an appa

44 Gene expression, brain imaging and fetal brain expression quantitative tr

45 Age-associated changes in brain imaging and fluid biomarkers are characterized and

46 Brain imaging and fluid biomarkers are characterized in

47 tary tests, including polysomnography (PSG), brain imaging and genetic analysis, were used.

48 Imaging genetics combines brain imaging and genetic information to identify the re

49 The combination of brain imaging and genetics promises to identify neural m

50 Using both live brain imaging and immunohistochemistry, we observed that

51 Here, we used functional brain imaging and network analysis to study the circuitr

52 and other potential modifiers and changes in brain imaging and neurological and behavioral function o

53 yielded a rich range of associations between brain imaging and other measures collected by UK Biobank

54 Our results extend brain imaging and pharmacological findings, which sugges

55 tcomes were receipt of guideline-recommended brain imaging and positron emission tomography (PET) ima

56 Structural brain imaging and post-mortem studies in individuals wit

57 We describe UK Biobank brain imaging and present results derived from the first

58 Here we review briefly the relevant brain imaging and psychobiological literature and its im

59 Here, we examine brain imaging and single-nucleotide polymorphisms (SNPs)

60 These findings support the future use of brain imaging and SVM-based classifier in the diagnosis

61 n heterodimerization domain, four had normal brain imaging and three exhibited moderately progressive

62 With combined brain-imaging and cognitive-behavioral analyses, we are

63 Nearly 75% of patients received recommended brain imaging, and 60% received recommended PET imaging.

64 west risk] to 7 [highest risk]), findings on brain imaging, and cause of TIA or minor stroke with the

65 d neurovascular coupling principles used for brain imaging, and open unique avenues to investigate me

66 n vitro and messenger RNA assays, functional brain imaging, and psychophysical and kinematic tests we

67 The ABCD(2) score, findings on brain imaging, and status with respect to large-artery a

68 both structural and in-vivo functional mouse brain imaging applications.

69 This study used a whole--brain imaging approach known as quantitative susceptibil

70 cal examination, electroencephalography, and brain imaging are necessary to separate patients with ac

71 echnique that allows for noninvasive in vivo brain imaging at micrometer-millisecond spatiotemporal r

72 rtunities to dissect such circuits via whole-brain imaging, behavioral analysis, functional perturbat

73 ence-based review of the current research on brain imaging biomarkers in adult mood disorders.

74 below, we argue that there are currently no brain imaging biomarkers that are clinically useful for

75 ated from multiple sclerosis on conventional brain imaging, both in adults and children.

76 n epileptic event and laboratory studies and brain imaging can identify an acute insult contributing

77 Whether brain imaging can identify patients who are most likely

78 The results suggest that brain imaging can provide biomarkers that substantially

79 ut eligibility, specificity varied from 25% (brain imaging; carotid imaging) to 99% (anticoagulation

80 dy in the setting of clinical services and a brain imaging center of an academic psychiatric hospital

81 The study was performed at the Wolfson Brain Imaging Centre of Addenbrooke's Hospital.

82 Brain imaging characteristics of MOG antibody disease ar

83 aired, and 9 PD-normal) underwent multimodal brain imaging, cognitive testing, and neurologic evaluat

84 193 patients (18.1%) with an indication for brain imaging, compared with only 2 of 356 (0.05%) with

85 ongitudinal, observational study with serial brain imaging conducted from March 28, 2006, to January

86 MRI scans derived from the International OCD Brain Imaging Consortium.

87 l assessment of patient baseline factors and brain imaging could increase the number of eligible pati

88 If brain imaging could reveal an individual's unique mental

89 -dependent differences were observed between brain imaging data acquired on the PET/MR, compared with

90 56 participants had quantitative brain imaging data and were included in evaluable popula

91 Demographic, clinical, and brain imaging data as well as functional and radiologic

92 ve associations between genetic variants and brain imaging data at one time-point.

93 Network-based analyses of brain imaging data consistently reveal distinct modules

94 lthy-controls in shared data from the Autism Brain Imaging Data Exchange (ABIDE) and the Attention-De

95 We analyzed data from the Autism Brain Imaging Data Exchange (ABIDE), an aggregated MRI d

96 In response, we introduce the Autism Brain Imaging Data Exchange (ABIDE)-a grassroots consort

97 bserve significant differences in the Autism Brain Imaging Data Exchange cohort, despite having achie

98 nalyzed the CC in 694 subjects of the Autism Brain Imaging Data Exchange project, and performed compu

99 erature and an analysis of the ABIDE (Autism Brain Imaging Data Exchange) cohort.

100 We leveraged an open data resource (Autism Brain Imaging Data Exchange) providing resting-state fun

101 ing in an independent sample from the Autism Brain Imaging Data Exchange.

102 We apply sample weights to structural brain imaging data from a community-based sample of chil

103 d spectroscopy (fNIRS) to collect functional brain imaging data from Costa Rican farm workers enrolle

104 topological measures from network science to brain imaging data gained from ketamine-treated mice to

105 hich fNIRS may be used to collect functional brain imaging data in epidemiological field surveys.

106 est that the polygenic approach to examining brain imaging data might be a useful means of identifyin

107 We analysed all clinical and brain imaging data of mutation-positive individuals incl

108 Our brain imaging data reveals that the functional interplay

109 We acquire mouse whole-brain imaging data sets of multiple types of neurons and

110 We discuss neuropsychological and brain imaging data showing that triadic interactions inv

111 ganized and described in compliance with the Brain Imaging Data Structure (BIDS).

112 Worldwide cooperative analyses of brain imaging data support a profile of subcortical abno

113 We used a machine-learning technique on brain imaging data to predict, with high accuracy, which

114 e., the single nucleotide polymorphisms) and brain imaging data to reveal the associations from genot

115 s assessing median nerve sensory latency and brain imaging data were acquired at baseline and followi

116 Clinical and brain imaging data were collected over 2 years.

117 ty of neuronal networks, based on functional brain imaging data, has yielded new insight into brain c

118 dures and recent advances in the analysis of brain imaging data, we localized purely experience-based

119 the current analytic approaches to metabolic brain imaging data.

120 hly effective at extracting information from brain imaging data.

121 sulin resistance are associated with altered brain imaging, depression, and increased rates of age-re

122 The aim of this study was to identify brain imaging discriminators between those three inflamm

123 Substantial advances have been made in brain imaging, especially with functional imaging and fi

124 new focal neurological deficit (FND) without brain imaging evidence of recent haemorrhage versus othe

125 Two independent brain imaging experiments using high-resolution fMRI rev

126 cal fluorescence microscopy is often used in brain imaging experiments, however conventional confocal

127 ent singular space-time dynamics observed in brain imaging experiments.

128 ta-analysis of a large dataset of functional brain-imaging experiments, we further found that the tha

129 Patients have characteristic brain imaging features of pontocerebellar hypoplasia (PC

130 lt age spectrum should be included to assess brain imaging findings associated with typical aging.

131 Our previous brain imaging findings in adult offspring in these high-

132 We also report novel brain imaging findings including delayed myelination wit

133 e found to have grossly abnormal clinical or brain imaging findings or both, including 4 infants with

134 disorders and dementia in patients with CKD, brain imaging findings, and traditional and nontradition

135 hearing loss, spasticity, and characteristic brain imaging findings.

136 ive infant with grossly abnormal clinical or brain imaging findings.

137 entally induced inflammation, and functional brain imaging (functional magnetic resonance imaging) to

138 Brain imaging genetics intends to uncover associations b

139 Brain imaging genetics, which studies the linkage betwee

140 ntial and power of the non-convex methods in brain imaging genetics.

141 Brain imaging has a crucial role in the presurgical asse

142 To date, brain imaging has largely relied on X-ray computed tomog

143 In particular, brain imaging has not been used to link neurosteroid eff

144 In particular, brain imaging has not been used to link neurosteroid eff

145 Here, we discuss how functional brain imaging has provided insights into the nature of b

146 Brain imaging has revealed alterations in dopamine uptak

147 Brain imaging has revealed links between prefrontal acti

148 Human brain imaging has revealed that acute pain results from

149 The use of whole-brain imaging has shed new light on the organization of

150 Recent work with noninvasive human brain imaging has started to investigate the effects of

151 ous advancement as well as widespread use of brain imaging have contributed to the increasing detecti

152 Combined brain-imaging, hormone-measurement, and cognitive-behavi

153 Functional brain imaging in 707 healthy participants linked this ge

154 asure, multitasking ability, with structural brain imaging in a sample of 100 participants.

155 ble PAT (3D-wPAT) technique is described for brain imaging in behaving rats.

156 ry assessment of internalizing disorders and brain imaging in children suggests that early adversity

157 Our preliminary results suggest that TSPO brain imaging in GBM may be a useful tool for predicting

158 on and spatial selection and performed whole-brain imaging in macaque monkeys.

159 lbenzamide) and used the radiotracer for PET brain imaging in pigs.

160 osition paper on the Clinical Application of Brain Imaging in Psychiatry.

161 e emerged for cellular-resolution functional brain imaging in small organisms such as larval zebrafis

162 few areas of vasogenic oedema or even normal brain imaging in some rare cases.

163 Fluorescence-based brain imaging in the visible and traditional near-infrar

164 Brain imaging in these individuals reveals delay in myel

165 sophila circadian neural circuit using whole-brain imaging in vivo.

166 The brain imaging includes structural, diffusion and functio

167 The recent maturation of pediatric in vivo brain imaging is bringing the identification of clinical

168 Since functional brain imaging is increasingly finding practical applicat

169 se who do not, the first decision is whether brain imaging is needed.

170 Brain imaging is recommended in all current diagnostic g

171 tivariable analyses, multiple infarctions on brain imaging, large-artery atherosclerosis, and an ABCD

172 nctional architecture measured by functional brain imaging, limiting translation to human conditions.

173 ximately 65% of tPA-treated patients getting brain imaging </= 25 minutes after arrival.

174 mental effects on neurocognitive function or brain imaging markers compared to standard antiretrovira

175 y, we discuss the limits and extent to which brain imaging may broaden our understanding of the paren

176 Developments in molecular genetics and brain imaging may clarify how brain changes lead to pers

177 Recent advances in brain imaging may help to identify the optimal timing fo

178 explaining more ancestry variance than other brain imaging measurements, the 3D geometry of the corti

179 om the effects of prior illness by comparing brain imaging measures in previously ill and never ill p

180 ctrophysiology and optical imaging, or whole-brain imaging methods, such as fMRI.

181 avioral, psychophysiological, and functional brain-imaging methods.

182 (sCCAs) to determine the covariation between brain imaging metrics of WM-network activation and conne

183 We review the recent advances in brain imaging modalities and discuss their application i

184 y reported biological changes in patients by brain imaging, neurochemical and pharmacological approac

185 tment remains unsatisfactory but advances in brain imaging, neurophysiology, and neuropharmacology ma

186 Advances in brain imaging, non-imaging biomarkers, and neuropatholog

187 ims at finding new potential ligands for the brain imaging of 5-HT(4) receptors (5-HT(4)Rs) using sin

188 cal data, transthoracic echocardiograms, and brain imaging of 53 consecutive patients (83% women) wit

189 Thus, brain imaging of cholinesterase activity associated with

190 r of deriving hypotheses directly from human brain imaging of clinical conditions that can be invasiv

191 alling in man but recent work indicates fMRI brain imaging of CNS responses to CCK and ghrelin is fea

192 nical trials of dopamine-targeting drugs and brain imaging of dopamine receptors in patients with men

193 monstrate the feasibility of SPECT molecular brain imaging of mice in the conscious, unrestrained sta

194 ging system, AwakeSPECT, to enable molecular brain imaging of untrained mice that are conscious, unan

195 Functional brain imaging of young people at increased genetic risk

196 chers are increasingly turning to functional brain imaging, often applying machine-learning algorithm

197 analyzed the association between AD PRSs and brain imaging parameters using T1-weighted structural (n

198 tions between neurocognitive performance and brain imaging, particularly for frontal and temporal whi

199 ions are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide dat

200 SNPs)) and quantitative traits (QTs) such as brain imaging phenotypes.

201 prehensive neuropsychological assessment and brain imaging, PI monotherapy does not increase the risk

202 enuation correction, may particularly affect brain imaging procedures.

203 hanges in organ function, assessed by annual brain imaging, pulmonary function, echocardiographic ima

204 ) correlates with the specific parameters of brain imaging related to cognitive impairment and 2) dis

205 ng and its interaction with other aspects of brain imaging research.

206 Brain-imaging research has shown that experiencing pain

207 Drawing from neuroscience, anthropology, and brain-imaging research, we propose the hypothesis that t

208 sults of laboratory tests for Zika virus and brain imaging results were available for 79 (87%) cases;

209 A preliminary investigation using structural brain imaging revealed a region of anterior cingulate co

210 Brain imaging revealed an almost agyric brain with diffu

211 reful re-review of the cortical phenotype on brain imaging revealed only an irregular pattern of gyri

212 The presence of white-matter lesions on brain imaging should be taken into account when selectin

213 Brain imaging showed 177 IS of 3 different types: large

214 Brain imaging showed enlargement of ventricles but no pa

215 imited by inconsistent methods for assessing brain imaging, small sample sizes, and racially/ethnical

216 Functional brain imaging studies and non-invasive brain stimulation

217 Brain imaging studies and pathological reports further a

218 Meanwhile, brain imaging studies are increasing in size and scope,

219 Human brain imaging studies from various clinical cohorts show

220 Only a few electromagnetic brain imaging studies have examined neural correlates of

221 Brain imaging studies have identified robust changes in

222 Volumetric brain imaging studies have shown that gray matter abnorm

223 To the authors' knowledge, no previous brain imaging studies have systematically examined the p

224 Brain imaging studies in humans have shown the existence

225 Brain imaging studies in humans implicate the dorsal ant

226 Brain imaging studies in schizophrenia patients performi

227 Numerous brain imaging studies indicate that the corpus callosum

228 tion-based studies of the gut microbiome and brain imaging studies looking at the effect of gut micro

229 Limited in vivo brain imaging studies months to years after individuals

230 not consider an important set of functional brain imaging studies of unconscious processes.

231 Brain imaging studies performed in humans have associate

232 Recent brain imaging studies provide some clues on mechanisms u

233 on studies, and the large body of functional brain imaging studies reporting increased activation in

234 Brain imaging studies require a wide differential diagno

235 and emotion can modulate tinnitus, and from brain imaging studies showing functional and anatomical

236 However, whole-brain imaging studies so far have delivered highly heter

237 Brain imaging studies suggest that altered eating is a c

238 It is known from brain imaging studies that changes in anterior cingulate

239 urrent knowledge is primarily based on human brain imaging studies that have clear limitations in ter

240 y retrieval has been confirmed by functional brain imaging studies, and is supported by anatomical ev

241 otion, and reward (each map is based on >200 brain imaging studies, derived from neurosynth.org).

242 ine clinic visits and with serial functional brain imaging studies, including structural brain MRI, m

243 s a marker of the sympathovagal balance), or brain imaging studies.

244 traindications are invited to participate in brain imaging studies.

245 s discovery was an unexpected consequence of brain-imaging studies first performed with positron emis

246 Functional brain-imaging studies have identified networks of broadl

247 Brain-imaging studies implicate aberrant prefrontal cort

248 These observations suggest that prospective brain-imaging studies of infants at high familial risk o

249 Most brain-imaging studies of language comprehension focus on

250 Cross-sectional brain-imaging studies reveal that obese versus lean huma

251 Brain-imaging studies show a relationship between neuroa

252 Recent genetic and brain-imaging studies suggest that bicaudal C homolog 1

253 emantic knowledge by performing a multimodal brain imaging study in healthy subjects and patients wit

254 h: last year saw reports on the first modern brain imaging study with LSD and three separate clinical

255 t Susceptibility (AGES)-Reykjavik Study in a brain imaging study.

256 This novel, repeated-measures brain-imaging study suggests that adolescents who gained

257 In a longitudinal brain-imaging study, individuals who developed an intens

258 x of tPA ahead of time, initiation of tPA in brain imaging suite, and prompt data feedback to emergen

259 tion, and this research would benefit from a brain-imaging technique that precisely quantified glutam

260 Advances in brain imaging techniques have allowed neurobiological re

261 Brain imaging techniques have become sophisticated in id

262 Brain imaging techniques that use vascular signals to ma

263 udes that flow from it, scientists have used brain imaging techniques to examine how social categorie

264 In this investigation, we used multiple brain imaging techniques to explore central changes in s

265 Using brain imaging techniques, we sought to determine whether

266 that underlies hemodynamic-based functional brain imaging techniques.

267 In response to queries about whether brain imaging technology has reached the point where it

268 Advances in brain imaging, technology, and understanding of the path

269 rd task during functional magnetic resonance brain imaging, the authors tested how brain reward learn

270 Using both structural and functional brain imaging, they found neural changes associated with

271 cipated in three waves of magnetic resonance brain imaging through school age and early adolescence.

272 iagnosis of this disorder, we used metabolic brain imaging to characterize a specific network that ca

273 Here we use fMRI brain imaging to investigate the neural basis of one com

274 in autism spectrum disorder, and structural brain imaging to investigate the neural basis of that le

275 nalgesia, we used brainstem optimized, whole-brain imaging to record responses to concurrent thermal

276 We used structural and metabolic brain imaging to test two hypotheses: (i) glutamate leve

277 of electrophysiology, blood biomarkers, and brain imaging, to optimise prognostic accuracy.

278 Using SCoRe we carried out chronic brain imaging up to 400 mum deep, capturing de novo myel

279 Mouse brain imaging using (18)F-FDG PET was performed on each

280 in the long term, as demonstrated by in vivo brain imaging using (18)F-fluorodopa and (11)C-racloprid

281 ique eye-tracking tests, in combination with brain imaging via MRI, we found a series of physiologica

282 Methods:(18)F-AV-1451 PET brain imaging was completed in 16 4 young healthy volunt

283 Methods:(18)F-AV-1451 PET brain imaging was completed in 16 subjects: 4 young heal

284 Here, using functional brain imaging, we asked humans to perform a planning tas

285 With the emergence of noninvasive brain imaging, we now have access to the unique neural m

286 Using a mediation model in combination with brain imaging, we propose a model for the correction of

287 Using functional brain imaging, we show that, when subjects make the risk

288 lure center that routinely employs admission brain imaging, we sought 1) the prevalence of intracrani

289 Copies of baseline brain imaging were analysed by two investigators, who we

290 lts of subsequent electroencephalography and brain imaging were unchanged, and a fluorodeoxyglucose F

291 Cognitive assessments and functional brain imaging were used to investigate mathematical abil

292 age 73.9 +/- 5.7 years) underwent metabolic brain imaging with (18)F-fluorodeoxyglucose positron emi

293 trols underwent positron emission tomography brain imaging with [(18)F]AV-1451.

294 (18)F-FDG PET brain imaging with advanced statistical analysis may pro

295 This instrument provides whole-brain imaging with cellular resolution in an unrestraine

296 Brain imaging with glucose ((18)F-FDG) PET or blood flow

297 lity of (18)F-FDG PET/CT versus conventional brain imaging with MRI.

298 while the long length (>2 mm) allow for deep-brain imaging with no additional complexity in the optic

299 on the brain basis of parenting is combining brain imaging with social, cognitive, and behavioral ana

300 We compared their brain imaging with those in published findings from Powa