ライフサイエンスコーパス: neuroimaging

1 ng data-capture forms and blinded scoring of neuroimaging.

2 oding has not been studied directly in human neuroimaging.

3 hat correlates with behaviour and functional neuroimaging.

4 90-day survival and acute lesion volumes on neuroimaging.

5 individual structural connectomes from human neuroimaging.

6 we tested these hypotheses using functional neuroimaging.

7 rge-scale activity observable by noninvasive neuroimaging.

8 ain-predicted age', derived using structural neuroimaging.

9 ay matter that can be indirectly assessed by neuroimaging.

10 rct volumes as well as total brain volume by neuroimaging.

11 ing the measurement process in computational neuroimaging.

12 f safety and efficacy, as well as structural neuroimaging.

13 ding schemes for noninvasive studies such as neuroimaging.

14 e, and, ultimately, clinical applications of neuroimaging.

15 bined computational modeling with functional neuroimaging.

16 ammalian brain and can be readily applied to neuroimaging.

17 infants, 4 had microcephaly and no reported neuroimaging, 14 had microcephaly and brain abnormalitie

18 the PFC of a nonhuman primate and functional neuroimaging ([(18)F]fluorodeoxyglucose positron emissio

19 Both cytoarchitectonic [5] and comparative neuroimaging [6] studies have converged on the conclusio

20 can help mechanistically integrate distinct neuroimaging abnormalities in schizophrenia.

21 n groups regarding the rate of microcephaly, neuroimaging abnormalities, neurological sequelae at 6 m

22 Clinical characteristics, neuroimaging abnormalities, plasma viral load, and audio

23 s were replicated in the Alzheimer's Disease Neuroimaging (ADNI) study.

24 Clinical diagnosis has been supplemented by neuroimaging advances, genetic discoveries, and molecula

25 ected 27 patients with PD-ICB with available neuroimaging after ICB onset, who were matched with 32 P

26 Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that comb

27 ps, packaging a diverse set of commonly used neuroimaging algorithms.

28 Despite recent developments in neuroimaging, alterations of brain functional connectivi

29 Furthermore, our neuroimaging analyses indicated that MYT1L expression as

30 network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network me

31 Multivariate neuroimaging analysis identified a neuroimaging phenotyp

32 For the longitudinal neuroimaging analysis, we selected 27 patients with PD-I

33 food odors in combination with pattern-based neuroimaging and a decision-making task.

34 gressive), brain parenchymal lesions seen on neuroimaging and a set of diagnostic criteria-the Boston

35 Using prospective longitudinal epigenetic, neuroimaging and behavioral data from 132 adolescents, w

36 f multistable perception, a review of recent neuroimaging and brain stimulation studies focused on me

37 We analyzed symptoms and signs, and neuroimaging and cerebrospinal fluid (CSF) results.

38 in Relation to AIDS cohort, using multimodal neuroimaging and cerebrospinal fluid biomarkers.

39 We analyzed neuroimaging and clinical data from 1868 subjects (794 P

40 Using functional neuroimaging and computational modeling of perception, w

41 velops rapidly, alongside with the growth of neuroimaging and deep brain stimulation techniques.

42 Here we use multimodal neuroimaging and dynamical systems analysis to measure w

43 This technique may bridge the gap between neuroimaging and histopathological findings.

44 Using a combination of functional neuroimaging and hormonal and psychometric analyses, we

45 Here, in a series of neuroimaging and indirect calorimetry human studies, we

46 thletes and a point of comparison for future neuroimaging and longitudinal studies.

47 Here we combined neuroimaging and neuromodulation to provide evidence tha

48 Neuroimaging and neuropathology were reviewed by experie

49 Within this framework, we review recent neuroimaging and neurophysiological studies investigatin

50 Neuroimaging and ophthalmologic evaluations were also pe

51 We review the state of translational neuroimaging and outline an approach to developing brain

52 e treatment of this disorder and new in vivo neuroimaging and post-mortem studies makes it timely to

53 ging trends such as the use of multimodality neuroimaging and the employment of 'deep learning' metho

54 Biomarker, neuroimaging, and genetic findings implicate the seroton

55 d on symptoms, neuropsychological tests, and neuroimaging, and is usually evident years after the pat

56 Extensive clinical, cognitive, neuroimaging, and neuropathological data were collected

57 with a typical and most frequent cognitive, neuroimaging, and neuropathological profile.

58 Recent behavioral, neuroimaging, and neurophysiological studies have renewe

59 unction analysis that incorporated clinical, neuroimaging, and neuropsychological data.

60 Here we use modeling, neuroimaging, and noninvasive neurostimulation to show t

61 The differential diagnosis, neuroimaging, and pathological findings are discussed, a

62 Functional neuroimaging, applied to pre-clinical models of chronic

63 vironments, it is necessary that the primary neuroimaging approach adopted by the epidemiology commun

64 ntial neurochemical compounds, summarize how neuroimaging approaches facilitate the study of such alt

65 Using a novel combination of neuroimaging approaches we find that MD regions track st

66 rch was conducted for whole-brain functional neuroimaging articles published through June 2015 that c

67 is of AS and identify noninvasive structural neuroimaging as a potentially valuable tool for gauging

68 4 youths ages 8-20, who completed structural neuroimaging as part of the Philadelphia Neurodevelopmen

69 as carried out on 343 infants, who underwent neuroimaging at 6, 12, and 24 months.

70 Fourteen women underwent multimodal neuroimaging at 7T at three time points in this baseline

71 This new in vivo neuroimaging atlas of the 5-HT system not only provides

72 We present evidence supporting the use of neuroimaging-based 'brain age' as a biomarker of an indi

73 multivariate statistical methods to identify neuroimaging-based biomarkers of depression.

74 Clinical presentation, neuroimaging, biological features, treatment, and outcom

75 a-N+ and Abeta+N+ cases independent from the neuroimaging biomarker modality used to define neurodege

76 with major depressive disorder by defining a neuroimaging biomarker that differentially identifies th

77 ift towards integrative disease modeling and neuroimaging biomarker-guided precision medicine for AD

78 The association of neuroimaging biomarkers with OI was examined using multi

79 tions, and highlight promising ways in which neuroimaging can be used to investigate post-TBI changes

80 Finally, we discuss how human noninvasive neuroimaging can benefit from pharmacological challenge

81 The study illustrates how neuroimaging can help guide the search for epigenomic me

82 erials and Methods Three teams of experts in neuroimaging, cardiac imaging, and bone imaging were tas

83 maging was performed at an academic research neuroimaging center on a cohort of 71 cognitively asympt

84 duced by non-representative sampling in this neuroimaging cohort suggests that sample composition may

85 To combine functional neuroimaging, computational modeling, and smartphone-bas

86 ere, we present the results of a large-scale neuroimaging consortium study on PTSD conducted by the P

87 We applied this technique to human neuroimaging data acquired while participants watched re

88 However, neuroimaging data are correlational and do not tell us w

89 rom molecular and structural high-resolution neuroimaging data consisting of positron emission tomogr

90 We analyzed clinical, electroclinical, and neuroimaging data for 20 patients with MEAK due to recur

91 ental diagnostic utility of the measures and neuroimaging data from 110 patients identified neural co

92 l developmental datasets with behavioral and neuroimaging data from 523 male and female participants

93 using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample

94 arning with demographic, neurocognitive, and neuroimaging data in substance-naive adolescents to iden

95 graphic, behavioral, neuropsychological, and neuroimaging data may be the best strategy for identifyi

96 rchiving portable applications for analyzing neuroimaging data organized and described in compliance

97 and (3) the physical features of the objects.Neuroimaging data revealed that in participants who were

98 The behavioral-health and neuroimaging data sets showed significant interdependenc

99 Functional neuroimaging data showed that amygdala responses tracked

100 Neuroimaging data showed that ghrelin increased the alco

101 Exploratory analyses of neuroimaging data suggest the gut microbiome has minimal

102 n used to identify functional subnetworks in neuroimaging data that reflect the brain effective organ

103 We used structural and functional neuroimaging data to construct whole- brain models.

104 r, we use the data acquired from multi-modal neuroimaging data to diagnose PD by investigating the br

105 , we integrate human and mouse molecular and neuroimaging data to investigate the role of microglia i

106 Clinical and neuroimaging data were reviewed by three neurologists to

107 o fully exploit the potential of the world's neuroimaging data.

108 ing brain connectivity measures derived from neuroimaging data.

109 ) microstructure in a large single sample of neuroimaging data; the UK Biobank Imaging study.

110 We leverage a rare neuroimaging dataset to deconvolve the interwoven effect

111 ttempt to shed light on shared and divergent neuroimaging effects across disorders with the goal of i

112 Initial examination included neuroimaging, electroencephalography, and biochemical an

113 onhuman primates has obtained behavioral and neuroimaging evidence for evolutionarily conserved subst

114 , we will critically review the clinical and neuroimaging evidence for the involvement of the front v

115 Convergent genetic, pharmacological and neuroimaging evidence implicating neuropathology associa

116 effects are poorly understood as only little neuroimaging evidence is available.

117 for which we previously obtained correlative neuroimaging evidence.

118 In two psychophysics and neuroimaging experiments, we characterized the response

119 al decision making (DM) and using functional neuroimaging expose decision systems that operators use.

120 subset of participants harbor many different neuroimaging features associated with MS, including peri

121 riate control patients with nonpathologic MR neuroimaging findings (and no GBCA administration), matc

122 d describe the clinical symptoms, aetiology, neuroimaging findings and management strategies for thes

123 enic amnesia, and with respect to Anderson's neuroimaging findings in memory inhibition.

124 oncentrations in plasma and clinical and MRI neuroimaging findings, namely cognitive function, motor

125 Based on our prior neuroimaging findings, we expected this polymorphism to

126 med consent to participate in a longitudinal neuroimaging fMRI study.

127 -term mobile sleep monitoring and functional neuroimaging (fMRI) to explore whether trait-like variat

128 Functional neuroimaging genetics holds particular promise for the c

129 Neuroimaging genetics identifies the relationships betwe

130 Neuroimaging genetics is an emerging field that aims to

131 Neuroimaging genetics is an emerging field that provides

132 e this functional importance, no large-scale neuroimaging genetics studies have targeted the contribu

133 Further neuroimaging genetics study might lead to the developmen

134 In this first large-scale neuroimaging genetics study of the human nicotinic recep

135 The Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) Con

136 hways would be associated with the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) fin

137 chiatric Genomics Consortium (PGC)-Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) PTS

138 he loss of noradrenergic neurons by means of neuroimaging has been limited by the lack of radioligand

139 Because neuroimaging has suggested that rTPJ is implicated in di

140 Despite its great promise, neuroimaging has yet to substantially impact clinical pr

141 Recent advances in functional neuroimaging have demonstrated novel potential for infor

142 d protein deposition that can be assessed by neuroimaging (ie, MRI and PET) or CSF analysis are incre

143 cally review the current state of structural neuroimaging in AN and discuss the potential neurobiolog

144 s has the potential to transform the role of neuroimaging in clinical applications.

145 ive chemical probe for endogenous kinase PET neuroimaging in human.

146 We used multimodal neuroimaging in humans to investigate the mediating neur

147 markers may improve the diagnostic value of neuroimaging in memory clinic populations, in particular

148 We examined the role of neuroimaging in the setting of autoimmune encephalitides

149 effects of polygenic risk are detectable by neuroimaging in young adults.

150 mpirical study using the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort to discover the re

151 from participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) phases GO/2 (n=678).

152 .3 years) as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI).

153 cognitive data from the Alzheimer's Disease Neuroimaging Initiative (n = 346, mean follow-up 3.15 +/

154 External validation in Alzheimer's Disease Neuroimaging Initiative 2 showed that our models were hi

155 se Center [NIA ADC], and Alzheimer's Disease Neuroimaging Initiative [ADNI], total n = 20,680).

156 and real data (i.e., the Alzheimer's Disease Neuroimaging Initiative cohort, including progressive mi

157 quencing (WGS) scan for Alzherimer's disease neuroimaging initiative data, identifying three genes, A

158 ) were selected from the Alzheimer's Disease Neuroimaging Initiative database.

159 n tomography measured in Alzheimer's Disease Neuroimaging Initiative participants (n = 606).

160 iduals receiving care at Alzheimer's Disease Neuroimaging Initiative sites in the United States and C

161 ng genetic data from the Alzheimer's Disease Neuroimaging Initiative, and map the GWAS results onto t

162 ith AD dementia from the Alzheimer's Disease Neuroimaging Initiative.

163 ks has great potential to be used for future neuroimaging investigations of olfactory function in dis

164 Neuroimaging is a fast-developing research area in which

165 US neuroimaging is a highly accurate method to detect brain

166 The neuroimaging literature provides compelling evidence for

167 suitability for this purpose in two existing neuroimaging maps of olfactory networks.

168 le on magnetic resonance imaging (MRI) are a neuroimaging marker of cerebral small vessel disease.

169 Purpose To investigate associations between neuroimaging markers of cerebrovascular disease, includi

170 hallmark AD pathology and novel quantitative neuroimaging markers while being sensitive to white matt

171 s article, we examine how psychophysical and neuroimaging measurements from human subjects are being

172 stion by combining behavioral and multimodal neuroimaging measures (magneto-encephalography and funct

173 tive was to examine whether abnormalities in neuroimaging measures of amyloid and neurodegeneration a

174 the relationship between DUP and functional neuroimaging measures.

175 chiatric disorders through a transdiagnostic neuroimaging meta-analysis.

176 for (13)C MRSI of HP [1-(13)C]pyruvate as a neuroimaging method for assessment of inflammatory lesio

177 d in phylogeny, (2) invalidate a traditional neuroimaging method for brain volume correction, and (3)

178 spectroscopy (fNIRS), a noninvasive optical neuroimaging method that is fully compatible with a CI a

179 One challenge is that the most widely used neuroimaging method, fMRI, has coarse temporal resolutio

180 While neuroimaging methodologies are routinely applied cross-s

181 Here we used multimodal neuroimaging methods to ask whether modulating reward-re

182 We used a combination of neuroimaging methods to investigate the pathways in the

183 We applied three neuroimaging methods-surface-based morphometry, diffusio

184 trolled experiments with currently available neuroimaging methods.

185 ncluding several regions implicated by other neuroimaging modalities.

186 ize this result using a completely different neuroimaging modality and to document the relationships

187 Most neuroimaging models tend to explain brain differences ob

188 the reproducibility of scientific findings, neuroimaging must define best practices for data analysi

189 Recent advances in neuroimaging, neuropathology, epidemiology, and genetics

190 traumatic encephalopathy, and whether human neuroimaging observations converge with computational pr

191 ural analysis of 3 amygdala lesion patients, neuroimaging of 19 healthy adults, and single-neuron rec

192 Using multimodal neuroimaging of inhibitory processes, the authors tested

193 Given the recent rise in preclinical neuroimaging of mouse models, it is an important questio

194 mportance of vmPFC safety signaling, we used neuroimaging of Pavlovian fear reversal, a paradigm that

195 This should include neuroimaging of the brain, preferably with MR, together

196 er risk and 1 at lower risk) met the primary neuroimaging outcome of having T2-weighted hyperintense

197 e, we investigated the safety, clinical, and neuroimaging outcomes of DBS of the subcallosal cingulat

198 ealthy controls (HC), underwent a functional neuroimaging paradigm in which DMN brain activation in a

199 Here, we combined neuroimaging, parasite transcript profiling, and laborat

200 However, the neuroimaging pattern and long-term cognitive outcome are

201 We relate these neuroimaging patterns to cerebrospinal fluid biomarkers,

202 Current neuroimaging perspectives on a variety of mental disorde

203 tivariate neuroimaging analysis identified a neuroimaging phenotype associated with poorer cognitive

204 Vascular neuroimaging plays a decisive role in selecting the best

205 ng 149 patients for whom neurophysiological, neuroimaging, proteomic and genomic data were available.

206 ange of methodological techniques, including neuroimaging, psychophysics, and traditional behavioral

207 s single-nucleotide polymorphisms (SNPs) and neuroimaging quantitative traits (QTs) is one major task

208 ver associations between genetic markers and neuroimaging quantitative traits.

209 al implications for diagnosis and cerebellar neuroimaging referencing approaches.

210 Translational neuroimaging requires approaches and techniques that can

211 A wealth of neuroimaging research has associated semantic variant pr

212 Over the last several decades, neuroimaging research has identified age-related neural

213 t, although known to interact in perception, neuroimaging research has primarily provided evidence fo

214 extensive body of human-based behavioral and neuroimaging research has provided us with a detailed un

215 Over two decades of neuroimaging research reveals clear anatomical and physi

216 Emerging neuroimaging research suggests that antisocial personali

217 Current neuroimaging research suggests that presaccadic stimulat

218 nce from behavioural, neuropsychological and neuroimaging research supports the view that face recogn

219 calls to incorporate population science into neuroimaging research, most studies recruit small, non-r

220 pting the MZ twin design for DTI measures in neuroimaging research.

221 P values reported for the neuroimaging results are all familywise error corrected.

222 The influence of sample composition on human neuroimaging results is unknown.

223 Behavioral measures from the neuroimaging sample, however, did not forecast market fu

224 ces to fund on a trial-to-trial basis in the neuroimaging sample, only NAcc activity generalized to f

225 In children with Canavan disease, neuroimaging shows early-onset dysmyelination and progre

226 assessment of diaschisis performed by a PET neuroimaging specialist.

227 ns with a medical history and involves using neuroimaging, standardized neurological, and standardize

228 ent in the brain through the use of multiple neuroimaging strategies.

229 We discuss findings from diverse neuroimaging studies across distinct modalities, conduct

230 Few neuroimaging studies compare individuals affected with b

231 ve been associated with BD, but results from neuroimaging studies have been inconsistent.

232 Although neuroimaging studies have been unraveling their neural c

233 type may have different pathophysiology, few neuroimaging studies have examined levodopa-induced diff

234 Both post-mortem and neuroimaging studies have identified abnormal white matt

235 SIGNIFICANCE STATEMENT: Neuroimaging studies have identified multiple face-selec

236 Previous neuroimaging studies have identified the brain-reward an

237 Preclinical studies as well as human neuroimaging studies have provided strong evidence that

238 A wealth of neuroimaging studies have revealed that these abilities

239 In parallel, neuroimaging studies have shown consistent findings of w

240 immunosuppressive medications and functional neuroimaging studies have shown motor and somatosensory

241 Neuroimaging studies have shown structural alterations i

242 le in effectively communicating results from neuroimaging studies in a standardized coordinate system

243 Neuroimaging studies in humans have implicated insular c

244 Developmental structural neuroimaging studies in humans have long described decre

245 sed on causal brain lesions complement prior neuroimaging studies in Parkinson disease patients, adva

246 are largely consistent with those from prior neuroimaging studies in substance-use disorders, thus ra

247 Multimodal neuroimaging studies integrating audiometric, neuropsych

248 ity of AN, the number of existing structural neuroimaging studies is still relatively low, and our kn

249 in the history, neurologic examination, and neuroimaging studies led to the diagnosis.

250 We reviewed all neuroimaging studies of apathy in frontotemporal dementi

251 Neuroimaging studies of attention-deficit/hyperactivity

252 alysis of potential confounding variables in neuroimaging studies of BD.

253 ngs between rodent fear extinction and human neuroimaging studies of negative emotion.

254 However, most structural neuroimaging studies of patients with anxiety disorders

255 Neuroimaging studies of patients with CFS have revealed

256 accounting for behavioral-health factors in neuroimaging studies of WM and provide a neuroscience-in

257 and could be used as standardized tools for neuroimaging studies or other neuroscience methods, such

258 are still not well understood, despite many neuroimaging studies over the past few decades.

259 wever, the present work suggests that future neuroimaging studies showing effects that are pathogenic

260 -mortem, serum-biomarker, CSF-biomarker, and neuroimaging studies that have examined blood-brain barr

261 Here, we assessed 16 neuroimaging studies that used an emotional Stroop task

262 However, no differences in neuroimaging studies, plasma viral load, or outcomes at

263 Supported by recent human neuroimaging studies, the insula is re-emerging as an im

264 d to be separately examined, particularly in neuroimaging studies.

265 , if disregarded, interfere with analyses in neuroimaging studies.

266 ming task with meta-analytic data from >8000 neuroimaging studies.

267 A new neuroimaging study has revealed that, in the human brain

268 In this prospective neuroimaging study of 106 infants at high familial risk

269 A recent longitudinal neuroimaging study of high-risk siblings revealed a spec

270 uted by 16 cohorts, representing the largest neuroimaging study of PTSD to date.

271 thy controls, participated in a quantitative neuroimaging study using neurite orientation dispersion

272 ility imaging (TPI), a novel ultrasound (US) neuroimaging technique that has demonstrated good sensit

273 d due to incompatibility between established neuroimaging techniques and the surgically implanted ele

274 e relatively low sensitivity of conventional neuroimaging techniques does not allow the detection of

275 Advances in optical neuroimaging techniques now allow neural activity to be

276 We applied advanced neuroimaging techniques to characterize microstructural

277 hemistry can be monitored using a variety of neuroimaging techniques, whose combined use can be parti

278 s completed a neuropsychological battery and neuroimaging that included optimized magnetic resonance

279 All exhibited neuroimaging that was consistent with hypomyelination.

280 Despite advances in neuroimaging, there are currently limited available meth

281 We used neuroimaging to examine how humans implement such prunin

282 arly biomarker of disease, for example using neuroimaging to investigate the breakdown of structural

283 The aim of this study was to use functional neuroimaging to investigate whether oxytocin modulates t

284 ique capabilities of magnetoencephalographic neuroimaging to quantify the normative neural population

285 ts evoked during deep brain stimulation, and neuroimaging tractography efforts to localize descending

286 Functional neuroimaging, using genetically-encoded Ca(2+) sensors i

287 Clinical and neuroimaging variables associated with CSF discordance/e

288 Variables with positive correlation to the neuroimaging variate represented higher physical enduran

289 nd social phobia prior to participating in a neuroimaging visit.

290 nducted a meta-analysis of all studies using neuroimaging (volumetric measures derived from T1-weight

291 Neuroimaging was remarkable for mild cerebellar and noti

292 using high-resolution multimodal structural neuroimaging, we demonstrate that individuals with highe

293 Using neuroimaging, we found multiple representations of visua

294 ults amplify recent evidence from functional neuroimaging, which suggests a prominent role of dorsal

295 ing, as well as qualitative and quantitative neuroimaging with 3-T brain MRI and optical coherence to

296 We therefore combined noninvasive human neuroimaging with a task that allowed us to dissociate t

297 Using a novel paradigm combining neuroimaging with hand tracking, the present research so

298 recording cortical hemodynamics, to perform neuroimaging with this very young population.

299 The widespread application of functional neuroimaging within the field of environmental epidemiol

300 t least 1 ocular weakness finding (84%), and neuroimaging without acute changes (82%).