ライフサイエンスコーパス: whole brain

1 d at single-neuron resolution throughout the whole brain.

2 0 min pi) accompanied by a low uptake in the whole brain.

3 h is driving the activity of the rest of the whole brain.

4 Voxel-based morphometry analysis of whole-brain 3-T high-resolution brain magnetic resonance

5 ct design and [(18)F]FDG-microPET to capture whole-brain activation patterns in four distinct spatial

6 r mental processes from observed patterns of whole-brain activation.

7 Mapping whole-brain activity during behavior represents one of t

8 genic rats and measured resulting changes in whole-brain activity using stimulus-evoked functional ma

9 eceptor-expressing neurons while visualizing whole-brain activity with fMRI.

10 Whole-brain analyses further revealed a relation between

11 Whole-brain analyses further revealed that higher 'p fac

12 Whole-brain analyses revealed post-treatment decreases i

13 Region-of-interest and whole-brain analyses tested associations between resting

14 Whole-brain analyses using a p = .05 corrected threshold

15 Exploratory whole-brain analyses were also performed.

16 In whole-brain analyses, MetS was negatively associated wit

17 campus, medial prefrontal cortex (mPFC), and whole-brain analyses.

18 es in correlations at the network level, and whole brain analysis revealed that the greatest changes

19 An exploratory post hoc whole-brain analysis also indicated that SCD was predomi

20 Voxel-wise, whole-brain analysis revealed enhanced rCBF only in the

21 A secondary exploratory whole-brain analysis revealed hypoactivation in addition

22 These results were supported by a whole-brain analysis showing additional repetition suppr

23 Multiple regression was used in a whole-brain analysis with age, APOE group, and their int

24 In whole-brain analysis, normal (compared with slow) metabo

25 across the regions of interest as well as a whole-brain analysis.

26 and; and for (18)F-FDG (C)-RD of SUVs of the whole brain and 10 anatomic regions segmented on MR imag

27 We estimated lesion likelihood maps over the whole brain and applied multivoxel pattern analysis to s

28 Extracts from the whole brain and from the cerebral cortex, hippocampus, a

29 lume [T1LV] to T2LV [T1:T2]), brain atrophy (whole brain and gray matter), and cervical spinal cord l

30 Subcellular resolution imaging of the whole brain and subsequent image analysis are prerequisi

31 ed between 47 regions of interests, of which whole-brain and region-specific means were compared by u

32 spinal fluid VILIP-1 levels predict rates of whole-brain and regional atrophy similarly to tau and p-

33 Whole-brain and regional diffusion tensor imaging fracti

34 The whole-brain and ROI analyses confirmed that the propensi

35 matter volume and fractional anisotropy at a whole-brain and voxel level.

36 topography of variability that reflects the whole-brain and, most importantly, creates an analytical

37 ns were compared with CT AC for whole-image, whole-brain, and 91 FreeSurfer-based regions of interest

38 in vivo for the first time with an unbiased whole-brain approach, age-related iron changes using qua

39 containing high-energy phosphates, over the whole brain as well as measuring the differences between

40 dow-based rs-fMRI sub-series, we construct a whole-brain associated high-order network, by estimating

41 normal and disease model brain cells for the whole brain at a high spatial resolution.

42 ions: first, is there a relationship between whole brain atrophy and magnetic resonance imaging marke

43 significantly reduced the annualised rate of whole brain atrophy in patients with secondary progressi

44 y matter atrophy is the major contributor to whole brain atrophy in symptomatic cerebral small vessel

45 0(-7)), and significant grey matter loss and whole brain atrophy occurs annually (P < 0.05).

46 entire cortex at 1 day post TBI followed by whole brain axial and coronal images using a wide-field

47 lysis of data pooled from all centres, using whole-brain-based statistical analysis of FA maps, confi

48 AIS was calculated on whole-brain beamformer-reconstructed source time courses

49 -related analysis of simultaneously acquired whole-brain BOLD fMRI.

50 f VND determined via the occupancy plot, the whole-brain BPND for LABs was estimated to be 1.4 +/- 0.

51 Although the technology has enabled whole-brain Ca(2+) imaging in semi-transparent specimens

52 ribed [12]; however, combining an atlas with whole-brain calcium imaging has yet to be performed in v

53 When applied to whole-brain calcium imaging recordings in freely moving

54 developed a tracking microscope that enables whole-brain calcium imaging with cellular resolution in

55 a larger and longer-term effort to generate whole-brain cell atlases in species including mice and h

56 salience network connectivity, as well as a whole brain centrality measure (eigenvector centrality).

57 esponses are normally triggered by decreased whole-brain cerebral glucose metabolism (CMRglc) has not

58 included global and local efficiency of the whole brain, cingulo-opercular network (CON), frontopari

59 A whole-brain cluster-corrected analysis was used to compa

60 sma counterregulatory hormonal responses and whole-brain CMRglc (along with blood-to-brain glucose tr

61 trations is not in response to a decrease in whole-brain CMRglc.

62 Whole-brain comparisons indicated corticolimbic, but not

63 To measure processing capacity, we turned to whole brain computational modelling to estimate the inte

64 bining this data-driven method with a causal whole-brain computational model can provide novel insigh

65 Whole-brain computational modeling was used to disclose

66 In light of new evidence from whole-brain computational modelling of multimodal neuroi

67 We used whole-brain computational modelling to study the differe

68 Whole brain connectivity in ASD group was found to be si

69 Finally, whole-brain connectivity analyses identified voxels that

70 coding and retrieval processes, we construct whole-brain connectivity maps of fast gamma (30-100 Hz)

71 Whole-brain connectivity maps were computed for regions

72 ed to sustained attention, and that changing whole-brain connectivity patterns may help improve atten

73 orks related to attention, and that changing whole-brain connectivity patterns may improve attention.

74 alyses revealed that amisulpride changed the whole-brain connectivity patterns of individual OFC subr

75 and smoking outcome (lapse vs non-lapse) on whole-brain connectivity with ventral and dorsal striatu

76 e made possible by the underlying structural whole-brain connectivity.

77 We reconstructed individual anatomical whole-brain connectomes from 90 left hemisphere stroke s

78 re, we introduce a simple way of visualising whole-brain consistency and variability in brain respons

79 e DW imaging data were processed to generate whole-brain constrained spherical deconvolution (CSD)-ba

80 zed dynamic connectivity states within their whole-brain contexts, we demonstrate the relative tempor

81 Additional analysis for the whole brain, contrasting the resting condition with all

82 Between-group whole brain contrasts revealed that aged subjects with d

83 s and by non-parametric statistical testing (whole brain corrected P-value < 0.01).

84 nd the left temporal parietal junction (TPJ; whole-brain corrected).

85 l-volume corrected) and using an exploratory whole-brain-corrected (p<0.05) approach.

86 For each cell, we computed a whole-brain correlation map based on its shared time cou

87 polymorphism (rs7208505) in relationship to whole-brain cortical thickness, posttraumatic stress dis

88 With regard to visual ratings and whole-brain count consistency, average visual rating sco

89 Conclusion Correct threshold setting and whole-brain coverage CT perfusion allowed differentiatio

90 ular-level measurements with the noninvasive whole-brain coverage of fMRI.

91 e of perfusion computed tomography (CT) with whole-brain coverage to measure the ischemic penumbra an

92 lases have major limitations such as lack of whole-brain coverage, relatively low image resolution, a

93 Conclusion Whole-brain CSD-based fiber tractography and super-resol

94 nnotate, analyze, visualize and easily share whole-brain data at cellular resolution, based on a scal

95 Whole-brain data-driven graph theoretical analysis discl

96 or distilling functional circuit models from whole-brain data.

97 ntrinsic functional connectivity strength, a whole-brain, data-driven, graph theory-based method, was

98 volumes of cortical neuropil, plausibly even whole-brain datasets.

99 duals in stereotactic coordinates across the whole brain, did not present predominantly in childhood,

100 e brain structural networks were built using whole-brain diffusion tensor imaging tractography, and a

101 unsupervised, unbiased, combined analysis of whole-brain diffusion tractography together with genomew

102 Materials and Methods Whole-brain diffusion-weighted (DW) imaging data from 14

103 Test-retest variability in the whole brain (excluding the cerebellum) of VT, BPND, and

104 Frontotemporal region of interest (ROI) and whole-brain exploratory analyses were conducted.

105 N in most insula white matter tracts, as was whole-brain FA in parts of the anterior corona radiata,

106 daily life in PTSD participants (t >/= 4.39, whole-brain familywise error corrected).

107 ortex, and cerebellar lobule VI (t >/= 4.18, whole-brain familywise error corrected).

108 e searched to conduct a meta-analysis of all whole-brain fMRI studies of youths with disruptive behav

109 cally computes these tradeoffs, we performed whole-brain fMRI while healthy young individuals engaged

110 e anterior fundus (AF) face patch, combining whole-brain fMRI with longitudinal single-unit recording

111 ; P = 1.10 x 10-14) as well as a significant whole-brain fractional anisotropy deficit (Cohen d = 0.6

112 We examined whole-brain function in European Starlings (Sturnus vulg

113 Changes in whole brain functional activation and functional connect

114 Whole brain functional connectivity in 46 patients with

115 Whole brain functional connectivity was evaluated for tw

116 ough a repertoire of different states, where whole-brain functional connectivity (FC) temporarily set

117 neous speech and reading speed--and computed whole-brain functional connectivity from two regions of

118 s in both PD + VH and PD - VH patients (mean whole-brain functional connectivity in PD + VH vs PD - V

119 Whole-brain functional connectivity maps were generated

120 neuromarker of sustained attention based on whole-brain functional connectivity networks.

121 Second, we evaluated the whole-brain functional connectivity of the visual thalam

122 Recent work has demonstrated that human whole-brain functional connectivity patterns measured wi

123 ional connectivity analyses, one to evaluate whole-brain functional connectivity relationships and th

124 tes is associated with global changes in the whole-brain functional connectome.

125 la melanogaster embryos and perform adaptive whole-brain functional imaging in larval zebrafish.

126 Using whole-brain functional magnetic resonance imaging in mac

127 Using whole-brain functional magnetic resonance imaging, we fo

128 These results demonstrate that whole-brain functional network strength provides a broad

129 l activation was modified at both sites, and whole-brain functional networks were altered in live ani

130 METHOD: A PubMed search was conducted for whole-brain functional neuroimaging articles published t

131 (ii) MP increased whole-brain glucose metabolism in HC but not in CA; and

132 Whole brain GMD measures were examined in probands, thei

133 Voxel-based morphometry was applied to study whole brain gray matter volume changes in 27 Retinitis P

134 th the TD group, the PS group had diminished whole-brain gray matter volume (P = 1.8 x 10-10) and exp

135 d deposits in a given region relative to the whole-brain gray matter, a pseudotemporal accumulation r

136 Using whole-brain high-resolution functional magnetic resonanc

137 ing, and high-resolution MRI data, including whole-brain, hippocampal and basal ganglia volumetry; wh

138 Whole brain homogenates showed normal levels of DISC1 pr

139 Whole-brain Iba1 expression in lipopolysaccharide-treate

140 High resolution T1-weighted whole-brain images were assessed between groups with vox

141 ibed topics that enable flexible decoding of whole-brain images.

142 This study used a whole--brain imaging approach known as quantitative susc

143 We acquire mouse whole-brain imaging data sets of multiple types of neuro

144 mination and spatial selection and performed whole-brain imaging in macaque monkeys.

145 he Drosophila circadian neural circuit using whole-brain imaging in vivo.

146 as electrophysiology and optical imaging, or whole-brain imaging methods, such as fMRI.

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

148 nous analgesia, we used brainstem optimized, whole-brain imaging to record responses to concurrent th

149 This instrument provides whole-brain imaging with cellular resolution in an unres

150 w opportunities to dissect such circuits via whole-brain imaging, behavioral analysis, functional per

151 -distance projections, as shown using iDISCO whole-brain imaging.

152 A whole brain immediate early gene mapping highlighted the

153 antibodies (sdAb) distribute throughout the whole brain in a size-dependent manner after intrathecal

154 a, and atrophy of the cerebellum or even the whole brain in about half of the patients with gain-of-f

155 Our results indicated lower FA across the whole brain in patients compared with healthy controls t

156 Consistent patterns were observed in the whole brain, including the VS, and also in additional re

157 individuals with MDD had significantly lower whole-brain intrinsic functional connectivity in the med

158 n proposed for the consolidation phase, with whole-brain irradiation (WBRT) the most common.

159 s (55 patients with primary brain tumors and whole-brain irradiation, 19 with primary brain tumors an

160 Purpose To determine whether whole-brain irradiation, chemotherapy, and primary brain

161 patterns and functional connectivity within whole-brain language networks.

162 multaneous deconvolution of O(105) traces of whole-brain larval zebrafish imaging data on a laptop.

163 At the whole brain level, decreased strength, global efficiency

164 DD is characterized by reduced myelin at the whole-brain level and in NAcc, LPFC, insula, sgACC, and

165 myelin than did the CTL participants at the whole-brain level and in the NAcc, and that myelin in th

166 method of structure-function mapping at the whole-brain level.

167 application of crystal larvae, we performed whole-brain light-sheet imaging and two-photon calcium i

168 tro and in vivo multi-neuronal imaging data, whole-brain light-sheet imaging data, and dendritic imag

169 Using whole-brain light-sheet imaging, we identified activity

170 ensor imaging was compared between groups in whole brain, lobar and vertex-based analyses.

171 We measured whole-brain longitudinal and transverse relaxation rates

172 -1, phospho-cofilin-1, and beta-actin in the whole brain lysates as well as formation of actin-cofili

173 surface and intracellular CD36 were found in whole brain lysates, whereas cell surface CD36 was predo

174 n networks at the scale of single (micro) or whole-brain (macro) connectivity.

175 Here we performed whole-brain mapping of both inputs and outputs of four B

176 Results Whole-brain mean functional connectivity was significant

177 specific perturbation methods with focal and whole-brain measurements of brain activity.

178 oach that allowed us to combine behavior and whole-brain measures of iron, myelin, and gray matter in

179 nnectivity data from fMRI scans to calculate whole-brain measures of network organization in healthy

180 We used unbiased, multimodal, data-driven, whole-brain measures of neural activity (magnetoencephal

181 uring task performance were assessed using a whole-brain, mixed-effects ANOVA with correction for mul

182 We applied a whole-brain model based on the normal form of a supercri

183 d that information capacity measured through whole brain models is a theory-driven measure of process

184 nd functional neuroimaging data to construct whole- brain models.

185 ion of perivascular spaces yields individual whole-brain morphologic characterization of ePVS in clin

186 y pronounced in hornets, with regard to both whole-brain morphology and antennal lobe organization, a

187 Whole-brain MPF maps were obtained in vivo on an 11.7T a

188 Exploratory functional connectivity and whole brain multiple regression approaches were used to

189 ypes were associated with a metabolic map of whole brain network activity via a recently developed no

190 This is the first study to examine whole-brain network activity in young or old nonhuman pr

191 We then used a whole-brain network model that coupled average excitator

192 While past work has shown the whole-brain network of functional connectivity follows s

193 We report how whole-brain networks are involved in spatial navigation

194 in our ability to identify and differentiate whole-brain networks associated with specific navigation

195 Using a large fMRI sample and analysis of whole-brain networks defined with the meta-analytic tool

196 causal impact of a single gene's activity on whole-brain networks remains unknown.

197 as well as structural connectome measures of whole-brain neural network integrity to predict clinical

198 tion of mammalian brains; on the other hand, whole-brain neuroimaging techniques provide very little

199 ular fMRI" approach is to permit noninvasive whole-brain neuroimaging with specificity and resolution

200 Using whole-brain neuronal imaging and circuit manipulations i

201 ponsible for broadcasting information to the whole-brain NoN.

202 e applied tract-based spatial statistics, a 'whole brain' non-hypothesis driven method, to identify d

203 etabolism of 47 separate brain regions using whole-brain-normalized (WBN) and pons-normalized (PN) ac

204 d developmental origin of these cells in the whole brain of sheep, relatively large-brained, long-liv

205 lunteers without sickle cell trait to assess whole-brain oxygen extraction fraction, cerebral blood f

206 T1 of the gray matter of the whole brain (P < .001), globus pallidus (P = .002), dent

207 .046), and thalamus (P = .026) and T2 of the whole brain (P = .004), dentate nucleus (P = .023), and

208 ptake of studied radiolabelled f-MWNT in the whole brain parenchyma and capillaries while 3D-single p

209 tative, context-sensitive interpretations of whole-brain patterns of brain activity.

210 agnetic resonance (MR) imaging at 3 T with a whole-brain PC-SIRS imaging sequence with alternating SL

211 In an ex vivo whole-brain preparation, fluorescent reporters of vesicu

212 localizes to synaptic sites, and conditional whole-brain Prmt8 deletion results in altered levels of

213 We then conducted whole brain probabilistic tractography seeding from the

214 nd brain atrophy (caudate r=0.178, p=0.0087; whole-brain r=0.602, p<0.0001; grey matter r=0.518, p<0.

215 Radioactivity in the VOIs, normalized to whole-brain radioactivity was taken as a surrogate index

216 Whole brain radiotherapy (WBRT) and dexamethasone are wi

217 Whole brain radiotherapy (WBRT) is the standard of care

218 Whole brain radiotherapy (WBRT) significantly improves t

219 After brain metastasis resection, whole brain radiotherapy decreases local recurrence, but

220 and rituximab, followed by hyperfractionated whole-brain radiotherapy (hWBRT) and subsequent TMZ.

221 dividuals in the United States alone receive whole-brain radiotherapy (WBRT) each year to treat brain

222 Purpose Stereotactic radiosurgery (SRS), whole-brain radiotherapy (WBRT), and epidermal growth fa

223 transplantation (ASCT), as an alternative to whole-brain radiotherapy (WBRT), as consolidation after

224 he brain (stereotactic radiosurgery [SRS] or whole-brain radiotherapy [WBRT]), and 86 of 90 received

225 t stage were then randomly allocated between whole-brain radiotherapy and autologous stem cell transp

226 ugh use of highly active targeted therapies, whole-brain radiotherapy can be safely postponed, dimini

227 d randomisation comparing consolidation with whole-brain radiotherapy or autologous stem cell transpl

228 Clinical Question: Is up-front whole-brain radiotherapy required to treat multiple brai

229 r more line of CNS-directed therapy, such as whole-brain radiotherapy, stereotactic radiosurgery, and

230 and June 2013; 78% of patients had previous whole-brain radiotherapy.

231 astasis resection could be an alternative to whole-brain radiotherapy.

232 alternative target areas for stimulation and whole-brain rebalancing.

233 To achieve whole-brain recording with the ability to detect both sm

234 Whole-brain regression analyses revealed that trait self

235 Comparison of our whole-brain repetition suppression map with an independe

236 Whole brain responses to threatening (ie, angry and fear

237 Whole brain resting-state functional connectivity analys

238 Using functional MRI, the authors examined whole brain resting-state functional connectivity with t

239 signed to find repeating network patterns in whole-brain resting fMRI data, where networks are define

240 We examined the whole-brain resting state functional connectivity as mea

241 a data-driven multivoxel pattern analysis of whole-brain resting-state connectivity before treatment

242 nts with Parkinson disease (PD) by analyzing whole-brain resting-state functional connectivity in PD

243 FA in two separate experiments confirmed the whole-brain results since responses to numbers were sign

244 s of neuronal connectivity and activity on a whole-brain scale.

245 ch population has never been measured at the whole-brain scale.

246 Moreover, whole-brain searchlight analyses revealed a cluster span

247 Using an assumption-free whole-brain searchlight approach, we tested with support

248 Using an assumption-free, whole-brain searchlight decoding approach, we identified

249 d functional magnetic resonance (fMRI) and a whole-brain, searchlight multi-voxel pattern analysis (M

250 Accurate whole-brain segmentation, or brain extraction, of magnet

251 cluded a direct test of this hypothesis in a whole-brain setting.

252 We applied dynamic-pattern analysis to whole-brain slow (< 5 Hz) cortical dynamics recorded by

253 ng and dynamical systems analysis to measure whole-brain spatiotemporal dynamics while subjects make

254 Whole-brain standardized uptake values (SUVs) were deter

255 ariability in the amplitude of expression of whole brain states of task-related activity.

256 ain's temporal structure in terms of dynamic whole-brain states.

257 Whole-brain structural covariance patterns of 133 partic

258 A whole-brain structural network was constructed for each

259 We further set the stage for whole-brain structure-function comparisons by co-registe

260 An inverse association was found between whole-brain SUV and reported cigarettes per day (P<0.05)

261 g a model-based bone compartment reduced the whole-brain SUV estimation bias of Dixon-based PET/MR AC

262 AC (P < 0.05), resulting in a residual -0.3% whole-brain SUVmean bias.

263 Smokers and non-smokers differed in whole-brain SUVs (P=0.006) owing to smokers having 16.8%

264 m-effect nonparametric statistics with group whole brain T-maps from individual studies as input.

265 Across the whole brain, the total volume of distribution for the su

266 Here, we constructed a whole-brain, three-dimensional (3D) map showing the trac

267 ipid profile differences between neurons and whole brain tissue, as well as between resting and physi

268 rphometry analysis to compute the volumes of whole brain, tissue compartments and cerebrospinal fluid

269 tive ultramicroscopy (UM) of ex vivo cleared whole brains to track neovascularization.

270 ons (i.e., occipital cortex, cerebellum, and whole brain) to obtain SUVRoccip, SUVRcereb, and SUVRWB

271 n tensor imaging metrics were assessed using whole-brain tract-based spatial statistics, and tractogr

272 education-matched healthy individuals, using whole-brain tract-based spatial statistics.

273 tion w-MWNTs-ANG showed significantly higher whole brain uptake than the non-targeted w-MWNT in vivo

274 measures of function and white matter in the whole brain using 80 youth aged 14.0 (s.d.=2.0) from thr

275 data sets including 2407 individuals) using whole-brain VBM.

276 Whole-brain vertex-wise analyses identified three cluste

277 T1-LV (p < 0.39) and smoking with decreased whole brain volume (p = 0.049).

278 on analysis, conducted unconstrained for the whole brain volume.

279 atrophy over time as measured by changes in whole-brain volume (beta = -4177, P = .003), ventricular

280 ) biomarkers (hippocampal volume, normalized whole-brain volume), cerebrospinal fluid (CSF) biomarker

281 objectively measure hippocampal subfield and whole brain volumes.

282 ls correlated with brain atrophy (normalized whole-brain volumes: adjusted r = -0.38, P = .02; hippoc

283 We used whole-brain voxel-based morphometry analysis to determin

284 Using whole-brain voxel-based morphometry analysis, we found t

285 pa were analyzed with region-of-interest and whole-brain voxel-by-voxel analyses.

286 Third, whole-brain voxel-by-voxel morphometry revealed no signi

287 Whole-brain, voxel-wise functional connectivity was exam

288 Both region of interest and whole-brain voxelwise analyses were conducted to complem

289 effects on temporal lobe cortical thickness (whole-brain voxelwise analysis: familywise error correct

290 For each measure, whole-brain voxelwise regressions with gray matter volum

291 nces in pseudoreference VT or SUV, excepting whole-brain VT, which was higher in cLBP patients than c

292 The whole brain was segmented according to white and gray ma

293 we examined the transcriptome of the SCN and whole brain (WB) of mice using meta-analysis of publicly

294 e case of (18)F-FDG PET/MRI (C), RDs for the whole brain were -11%, -8%, and -5% for DIXON, UTE, and

295 WM lesion counts in the whole brain were assessed on PD/T2-weighted scans.

296 The occipital cortex, cerebellum and whole brain were first evaluated as candidate pseudorefe

297 Whole brains were snap-frozen at necropsy and were subse

298 Whole brain white matter integrity of HD-monkeys was exa

299 thod that uses diffusion MRI to characterize whole-brain white matter architecture as a single local

300 Interareal connectomes are whole-brain wiring diagrams of white-matter pathways.