ライフサイエンスコーパス: whole brain

1 oups (e.g. r = -0.15 and -0.11, P < 0.04 for whole brain).

2 spiking neurons and synapses and that of the whole brain.

3 patients with BD and HC subjects across the whole brain.

4 ing-state functional connectivity across the whole brain.

5 spatial and temporal organization across the whole brain.

6 squared error (RMSE) of 0.014 for MPS of the whole brain.

7 -SCZ was associated with lower CT across the whole brain.

8 the complexity in neural connectivity of the whole brain.

9 rstanding spatiotemporal dynamics across the whole brain.

10 ithin the primary sensorimotor cortex to the whole brain.

11 tal, temporal and parietal lobes, insula and whole brain.

12 ribution of effect size by region across the whole brain.

13 th self-representation (mPFC) and across the whole brain.

14 lx) and other metabolites were examined with whole-brain (1)H-MRS, in early schizophrenia.

15 iduals and 12 patients with MS and performed whole-brain 3D DCE-MRI at 3 T.

16 lity of rapid, high spatial resolution, near whole-brain 3D metabolic imaging based on a novel MRSI t

17 ipants were prospectively scanned with a 3-T whole-brain 3D MR spectroscopic imaging protocol optimiz

18 Whole-brain activation analyses revealed associations wi

19 we reconstructed and analysed time-resolved whole-brain activity in 12 svPPA patients and 12 healthy

20 We created a phenotype atlas consisting of whole-brain activity maps, brain structural differences,

21 eplay coincided with spontaneous patterns of whole-brain activity.

22 generally, the pharmacological modulation of whole-brain activity.

23 Whole brain amplitude of low-frequency fluctuations (ALF

24 rain morphology using volumetric indices and whole-brain analyses (n = 2146); diffusion tensor imagin

25 Whole-brain analyses confirmed that the effect of anxiet

26 Whole-brain analyses of cortical thickness were conducte

27 order latent growth curve model we conducted whole-brain analyses on structural MRI data at age 14 ye

28 part latent growth curve model, we conducted whole-brain analyses on structural MRI data at age 14, p

29 Whole-brain analyses revealed a positive correlation bet

30 In whole-brain analyses, deprived adoptees showed lower rig

31 p exhibited greater striatal activation (for whole-brain analyses, the peak was located in the right

32 As expected, in both ROI and whole-brain analyses, the psychosis risk group exhibited

33 Whole brain analysis using SHIELD revealed widespread re

34 In a whole brain analysis we established that neural activity

35 esian spatial generalized linear mixed model whole-brain analysis identified left V3/V3A as the area

36 A whole-brain analysis showed a significant interaction ef

37 ization/reconsolidation of memory, using the whole-brain analysis technique of positron emission tomo

38 ve impairment; we then performed exploratory whole-brain analysis to investigate longitudinal disease

39 brain parcellation Davi130 for standardized whole-brain analysis.

40 fies the degree of aging of a brain based on whole-brain anatomical characteristics.

41 ject's brain age relative to peers, based on whole-brain anatomical measurements, from training set s

42 cells interact with synapses throughout the whole brain and are recognized as regulatory elements of

43 lumetric MRI analyses revealed reductions of whole brain and gray matter as well as hippocampal and b

44 from the Allen Brain Institute, we generated whole brain and regional signatures of AMPAR subunit gen

45 onin response to novelty in the level of the whole brain and the forebrain as well, without affecting

46 a standardised uptake value ratio approach, whole-brain and hippocampal volumes quantified from 3D-T

47 had, relative to controls, lower normalized whole-brain and normal-appearing white matter myelin fra

48 otropy predicted progressive atrophy in both whole-brain and voxelwise analyses.

49 iameters (p-value < 0.05) globally (over the whole brain) and locally (at circle of Willis and below)

50 death (TUNEL positive cells) throughout the whole brain, and in the internal capsule, periventricula

51 obesity contributes to regional WMHs using a whole-brain approach in a well-characterized population-

52 dictive modeling (CPM)-a recently developed, whole-brain approach-was used to identify pretreatment c

53 M using complementary region-of-interest and whole brain approaches; 2) determine whether schizophren

54 atment influences the volume change over the whole brain areas including the cortical and subcortical

55 ore >6 was the only significant predictor of whole brain atrophy rates (p=0.025) while age (p=0.009),

56 ficity of our findings was evaluated using a whole-brain Bayesian spatial generalized linear mixed mo

57 xel-wise differences in structure across the whole brain between groups.

58 Whole-brain blood oxygenation level-dependent responses

59 se modalities, we can simultaneously acquire whole-brain blood-oxygen-level-dependent (BOLD) and whol

60 k 78 (e.g. r = -0.45 to -0.55, P < 0.001 for whole brain), but the correlations were smaller at Week

61 h as MRI and EEG are able to record from the whole brain, but this comes at the price of either limit

62 using light field microscopy to record near-whole brain calcium and voltage activity at high speed i

63 Whole-brain calcium imaging revealed noradrenergic neuro

64 There was no difference in whole-brain CBF among the 3 cohorts (P = .148).

65 Using lineage tracing combined with whole brain clearing, we provide new insight into timing

66 distribution between smokers and nonsmokers (whole-brain Cohen d = 0.09) despite adequate power to de

67 nts ("mosaically") or through scaling of the whole brain ("concertedly").

68 We tracked the whole-brain connections of white matter fibres from the

69 Reliability was higher for whole brain connectivity than graph theory metrics.

70 nown about spatial embedding of the detailed whole-brain connectivity and its functional implications

71 he local-level similarities in resting-state whole-brain connectivity between participants).

72 nal analyses revealed MDD-specific decreased whole-brain connectivity profiles of the medial prefront

73 was specifically characterized by decreased whole-brain connectivity profiles of the putamen and dec

74 r differences between rodent and primate MFC whole-brain connectivity.

75 thus indirectly estimating its impact on the whole brain connectome.

76 uggest that healthy aging is associated with whole-brain connectome-wide changes in the functional mo

77 Whole-brain connectomic analyses were conducted to asses

78 voxel's overall influence based on iterative whole-brain connectomics, during hippocampal CA1 downreg

79 ecific large-scale neural network across the whole brain consisted of all FAUPAs that were activated

80 poral cortex, and insula (Z > 2.3; p < 0.05; whole-brain corrected).

81 A whole-brain correlation analysis revealed an age-related

82 Here we aimed to evaluate the neonate whole-brain cortical microstructure quantified by diffus

83 resolution of 2.0 x 3.0 x 3.0 mm3 with near whole-brain coverage from a cohort of 18 patients with a

84 Whole-brain coverage permitted us to further investigate

85 Conclusion High-spatial-resolution whole-brain D-2-hydroxyglutarate imaging is possible in

86 We used a novel, whole-brain, data-driven parcellation technique-non-nega

87 halamus, olfactory areas, cerebellum) in the whole-brain datasets.

88 Reliability for the whole brain dbWPLI was higher across many short epochs,

89 ght multivariate pattern classification, and whole-brain decoding with L1 or L2 regularization-each h

90 Convenient, efficient and fast whole-brain delivery of transgenes presents a persistent

91 tissue volume or graph-theory measures from whole-brain diffusion tensor imaging structural connecto

92 Mice with whole-brain DISC1 knock-down show impaired prefrontal-hi

93 tween 106 MDD and 36 HC EMBARC participants (whole-brain Discovery); and 58 MDD EMBARC participants a

94 urable with diffusion MRI) are important for whole brain dynamics in the mouse.

95 Whole brain dynamics intuitively depend upon the interna

96 k is crucial to advance our understanding of whole-brain dynamics by bidirectional coupling of the tw

97 In this context we investigated whole-brain dynamics on a subsecond timescale in 42 Lewy

98 Here, we show that the architecture of whole-brain ECoG networks and the factors that shape it

99 Leveraging a whole-brain electron microscopy volume, we studied the a

100 Using a whole-brain EM dataset of a female Drosophila, we compre

101 In this study, we use a whole-brain EM microscopy dataset to comprehensively det

102 reas within the right IFG, supplemented by a whole-brain, exploratory analysis.

103 We found decreased whole-brain FA and AD in medication-naive FEP compared w

104 rom 43 regions of interest (ROI) and average whole-brain FA were entered into univariate mega- and me

105 Seed-based whole brain FC with the RN as a seed region was compared

106 otor cortex were used as the seeds to obtain whole-brain FC maps.

107 Lesser whole brain fiber uniformity was predictive of poor resp

108 specific gene expression pattern across the whole brain, finding a distinct anterioventral-posteriod

109 lobe was evaluated as a ratio compared with whole brain flow for each scan.

110 ul to explore the effect of chess playing on whole-brain fluidity/dynamism (the chronnectome).

111 region-specific functional connectivity with whole-brain fMRI accompanied by simultaneous calcium rec

112 Using whole-brain fMRI adaptation and searchlight model-based

113 Whole-brain fMRI analysis revealed increased activity in

114 We compared whole-brain fractional anisotropy (FA), mean diffusivity

115 ng (MALDI-MSI) experiments were performed on whole brains from a mouse model of human medulloblastoma

116 In this study, we investigated the whole brain functional response to emotional infant face

117 Here, we used whole-brain functional connectivity analysis to identify

118 Here, we measured whole-brain functional connectivity in Engrailed-2 knock

119 mary olfactory cortex into clusters based on whole-brain functional connectivity patterns.

120 a particular, temporally dynamic pattern of whole-brain functional connectivity, and this encoding i

121 age, we examined the effect of treatment on whole-brain functional connectivity.

122 Whole-brain functional maps of anti-social isolated (lon

123 bMed database was conducted in June 2019 for whole-brain functional MRI articles.

124 tivity magnetic resonance imaging to examine whole-brain functional networks in children and adults w

125 upon adaptive changes in the organization of whole-brain functional networks.

126 A PubMed search was conducted for whole-brain functional neuroimaging findings published t

127 llow the MTL to represent dominant motifs of whole-brain functional organisation.

128 ted behavior (i.e. exploratory behavior) and whole-brain GABA(A) receptor subunits (gabra1, gabra2, g

129 Recent advances demonstrate whole-brain gene delivery by retro-orbital injection of

130 .001), with no significant difference in the whole brain gray matter volume (patients: 698.55 cm3; co

131 SZ demonstrated significantly elevated FW in whole-brain gray (p = .001) but not white matter (p = .0

132 During CsA infusion, whole-brain gray matter V (T) and K (1) were increased b

133 ips were attributable to degeneration in the whole-brain gray matter volume.

134 ion cell plus inner plexiform layer (GCIPL), whole-brain, gray matter and thalamic volumes in patient

135 ain reserve (i.e. premorbid intelligence and whole brain grey matter volume) had a positive relations

136 DHD and BMI, shared common associations with whole-brain grey matter and the Monetary Incentive Delay

137 umes across morphometric networks and in the whole-brain grey matter pattern characterized individual

138 We also derived a measure of whole-brain grey matter pattern organization by correlat

139 Preservation of the whole-brain grey matter pattern was also related to lowe

140 lyses yielded three factors with dissociable whole-brain hypo- and hyper-RSFC patterns.

141 APOE genotype and sex did not affect whole-brain I-S1 uptake but had variable effects on upta

142 techniques, reconstruct those images into a whole brain image volume and register those images to th

143 lop postnatal 3D template brains to register whole brain images with cellular resolution to systemati

144 d reactivation of stem cells confirmed in 3D whole-brain images (CLARITY).

145 rehensively resolving neuronal identities in whole-brain images is a major challenge.

146 le organisms such as Caenorhabditis elegans, whole brain imaging has been performed.

147 In summary, we show how whole brain imaging of amyloid pathology in mice reveals

148 o labeling with methoxy-X04, high throughput whole brain imaging, and an automated informatics pipeli

149 in solutions, brain homogenates, and in vivo whole brain imaging.

150 The present study used a single-cell whole-brain imaging approach to 1) assess whether abstin

151 Whole-brain imaging of stable transgenic id2b:gal4 larva

152 In worms, this reporter enables whole-brain imaging with faster kinetics and brighter fl

153 py, thereby facilitating superresolution and whole-brain imaging without immunohistochemistry.

154 lows us to track animal movement and perform whole-brain imaging.

155 matter macro- and microstructure across the whole brain in 165 asymptomatic individuals (38-71 years

156 tivity within or between networks across the whole brain in pediatric OCD or how patterns of connecti

157 hough high-resolution optical imaging of the whole brain in small animals has been achieved ex vivo,

158 Here, we traced the whole-brain inputs and outputs of the mouse IC across it

159 rs that shape it can be studied by analysing whole-brain, interregional and band-limited ECoG network

160 factors: (1) a shift of excitability of the whole brain leading to increased stability; and (2) a lo

161 Interestingly, at the whole-brain level, this reconfiguration was not well exp

162 pid, cellular-resolved neuronal activity and whole-brain macroscopy of slow haemodynamics and metabol

163 es the gap between functional microscopy and whole-brain macroscopy.

164 We acquired near-whole-brain magnetic resonance spectroscopy of N-acetyl

165 ects and their relationship to resting-state whole-brain magnetoencephalography (MEG) gamma power 6-9

166 y integration and recalibration, we measured whole-brain magnetoencephalography while human participa

167 ely Brainbow-labeled tissue, and multiplexed whole-brain mapping of axonal projections labeled with s

168 We conducted a whole-brain mapping of iES-elicited effects, collecting

169 Whole-brain mapping with the neuronal activity marker ph

170 Whole brain measures did not reveal alterations in ODI b

171 ptogenic zone (EZ), we characterized in vivo whole-brain mGluR5 availability in MTLE patients using p

172 ht to do this here by building upon a recent whole-brain model of serotonergic neuromodulation, to st

173 occurrence frequency fitted by a generative whole-brain model, fine-tuned on the basis of the effect

174 tical thickness-amyloid correlation by using whole brain modeling, nonlinear image coregistration, an

175 es the robustness of our technique combining whole brain modeling, nonlinear image coregistration, an

176 vide such a definition, which, together with whole-brain modeling, permits the systematic study in si

177 Remarkable progress has come from whole-brain models linking anatomy and function.

178 We found that whole-brain modularity steadily increased during trainin

179 mouse cortex they enable sparse labeling and whole-brain morphological reconstructions of individual

180 Results showed that neural flexibility of whole brain, motor, and high-order brain functional netw

181 luding maximum principal strain (MPS) of the whole brain, MPS of the corpus callosum, and fiber strai

182 Structural T(1)-weighted whole-brain MRI data from healthy control subjects (N=5,

183 Therefore, whole-brain MRI scans were acquired from 31 neurological

184 ce the sparse-overlapping-sets (SOS) LASSO-a whole-brain multivariate approach that exploits structur

185 s were correlated in general, the respective whole-brain multivoxel decoders for the two measures wer

186 Overall, these insights demonstrate that the whole-brain mutual coupling between the neuronal and the

187 y ultrashort echo time sequence can generate whole-brain myelin images specifically with a clinical 3

188 Purpose To develop patient-specific whole-brain myelin imaging with a three-dimensional doub

189 l connectivity for the theta band within the whole brain network that again localized to the cerebell

190 ork to examine local effects of the tumor, a whole brain network to examine diffuse effects of treatm

191 rence between the global efficiencies of the whole brain network with and without the ICN to evaluate

192 reconfigure the functional signature of the whole brain network.

193 vity, meditation leads to reconfiguration of whole-brain network architecture.

194 of coupled phase oscillators on a mammalian whole-brain network at the mesoscopic level.

195 large-scale spontaneous neural activity on a whole-brain network derived from human tractography.

196 to obtain the most unbiased estimate of how whole-brain network states evolve through the human slee

197 Our results thus link studies of whole-brain network topology and the ascending arousal s

198 haracterise the spatiotemporal complexity of whole-brain networks and state transitions during sleep.

199 al piriform cortices, suggesting dissociable whole-brain networks formed by the subregions of primary

200 superior temporal lobe with other regions of whole-brain networks in patients with psychotic disorder

201 s, from molecular signaling pathways through whole-brain networks, to discuss mechanisms through whic

202 tra-individual changes in the composition of whole-brain networks.

203 Here, we introduce a novel way to generate whole-brain neural dynamical activity at the millisecond

204 neural flexibility significantly higher than whole-brain neural flexibility, were consistent with bra

205 ere extracted from structural MRI scans, and whole-brain neuroanatomic organization was compared acro

206 Here, using tracking microscopy to monitor whole-brain neuronal activity at cellular resolution in

207 tion of EEG, seizure semiology analysis, and whole-brain neuronal activity mapping, we suggest that t

208 gh-resolution three-dimensional snapshots of whole-brain neuronal activity maps using single OA excit

209 brain connectivity using neuroimaging and a whole brain novel analysis approach.

210 However, whole-brain OEF was significantly different (P < .001):

211 different brain structures as well as in the whole brain of all mammalian species examined.

212 In the whole brain of flies, anesthesia disrupts rafts and PLD(

213 g in transgenic Kiss1-Cre mice combined with whole-brain optical clearing and multiple-label immunofl

214 correction for multiple comparisons over the whole brain or within pre-specified regions of interest.

215 Increasing CAA severity at the whole-brain or regional level was not associated with th

216 within morphometric networks and across the whole-brain organization in ageing and Alzheimer's disea

217 y the changes in GCIPL thickness (p = 0.02), whole brain (p = 0.002) and thalamic volumes (p < 0.001)

218 el of resting state networks defined under a whole brain parcellation.

219 well grey matter volume in each network and whole-brain pattern could discriminate between ageing an

220 The key feature of this whole-brain pattern of functional connectivity is strong

221 , we evaluated whether grey matter volume or whole-brain pattern was related to clinical progression

222 cial network is spontaneously represented in whole-brain patterns shortly following presentation of a

223 Building on this new 'whole brain' perspective of FND, we reframe the debate a

224 ny short epochs, whereas reliability for the whole brain PLI was higher across fewer long epochs.

225 lation of the olfactory nerve in an in vitro whole-brain preparation elicited synaptic responses in r

226 amine these issues in in vivo and in ex vivo whole-brain preparations, we generated transgenic flies

227 We present the first whole-brain quantitative 3D laminar atlas of the human c

228 Current strategies utilizing whole brain radiation therapy result in deleterious off-

229 Female mice received a single 4 Gy whole-brain radiation dose on postnatal day (PND) 21 and

230 d CO101244, showed increasing preblocking of whole-brain radioactivity retention with increasing dose

231 The role of adjuvant whole-brain radiotherapy (WBRT) in reducing new metastas

232 sing intensity-modulated radiotherapy during whole-brain radiotherapy (WBRT) is hypothesized to prese

233 therapeutic armamentarium has expanded from whole-brain radiotherapy and surgery to include stereota

234 Whole-brain reconstruction and analysis of active neuron

235 Whole-brain reconstruction of neuron morphology is even

236 Whole-brain recordings give us a global perspective of t

237 Whole brain regression analyses within the PD group iden

238 In comparison, a subsequent whole-brain regression analysis showed that drift, rathe

239 Alcohol abstinence resulted in the whole-brain reorganization of functional architecture in

240 ments of VLO circuitry while visualizing the whole-brain response.

241 tudy the complementary distinguishability of whole-brain responses.

242 oyed multivariate pattern analysis (MVPA) on whole-brain resting-state functional connectivity (rsFC)

243 ical, cognitive, and personality measures to whole-brain resting-state functional connectivity patter

244 Each component was associated with a unique whole-brain resting-state functional connectivity signat

245 imensions with dissociable (but overlapping) whole-brain resting-state functional connectivity signat

246 at least three ASD factors with dissociable whole-brain RSFC patterns, behaviors, and demographics.

247 t tumors divided along PAM50 designations 3) Whole brain samples from WT mice or mice lacking a singl

248 Whole-brain "searchlight" analyses identified additional

249 Histological analysis of mid-sagittal whole brain sections revealed evidence of treatment resp

250 la-frontal connectivity was analysed using a whole-brain seed-based approach.

251 First, we performed whole-brain seed-based correlation analyses on tf-fMRI d

252 (or regions of interest, ROIs), and measured whole-brain seed-based functional connectivity (FC) and

253 databases were searched up to June 2017 for whole-brain seed-based iFC studies and voxel-based morph

254 Patterns were quantified in whole-brain, segmented regional, and voxelwise levels by

255 with this, isolation differentially affected whole-brain serotonergic signaling in resting and stress

256 quality and metabolite quantification over a whole-brain slab.

257 g co-activation pattern analysis to identify whole-brain states of spatial co-activation that recurre

258 rthermore assessed the spatial similarity of whole-brain statistical parametric maps, indicating tDCS

259 Striatal volume and whole-brain striatal connectivity were then calculated f

260 Here we compare the network properties of whole-brain structural connectomes of euthymic PBD patie

261 ture alcohol use based on a novel voxel-wise whole-brain structural equation modeling framework.

262 ctories of neuroticism based on a voxel-wise whole-brain structural equation modelling framework.

263 FreeSurfer 5.3.0 was used to perform whole-brain surface-based morphometry.

264 As a result, whole brain TBSS analysis revealed reduced FD in SZ pati

265 map 590 functions on the white matter of the whole brain, the latter compels a revision of the taxono

266 In addition to analyzing the volume of the whole brain, they considered specific brain regions.

267 dy, we use the longitudinal ADNI data on the whole brain to jointly compute the brain network at base

268 cal mapping was used to compare quantitative whole-brain total sodium concentration (TSC) maps in par

269 Whole-brain tract-specific analysis was performed to ass

270 MI network to the Allen Human Brain Atlas, a whole-brain transcriptome-wide atlas of cortical genetic

271 Whole-brain Type I error protection was achieved through

272 Whole-brain univariate results contrasting moving and st

273 The whole-brain uptake of (18)F-PF-06684511 peaked (~220% SU

274 Results: Each radioligand gave high early whole-brain uptake of radioactivity, followed by a brief

275 related brain activation was measured in the whole brain using functional magnetic resonance imaginin

276 Results from whole-brain VBM analyses showed that individuals with hi

277 Questions remain regarding concepts such as 'whole brain' versus 'brainstem' death, and the intersect

278 Whole-brain vertex-wise analysis of LGI was performed fo

279 In contrast, whole brain volume loss and acute lesion activity measur

280 yloid-beta status using logistic regression, whole-brain volume and hippocampal volumes using linear

281 43 years of age was associated with smaller whole-brain volume at 69-71 years of age (-6.9 mL per 10

282 We carried out a data-driven, whole-brain volumetric analysis on regional gray matter

283 have investigated this question by combining whole-brain volumetric calcium imaging using light-field

284 Whole-brain volumetric serial two-photon tomography (STP

285 Whole brain voxel-wise analysis was performed to assess

286 Using tract-based spatial statistics, whole brain voxel-wise regressions between fractional an

287 Whole-brain voxel-based analyses of FEOBV PET complement

288 The brain data consisted of whole-brain voxel-based gray matter volumes, and the beh

289 dictive modelling strategy to an exploratory whole-brain voxel-wise analysis to examine the spatial s

290 between groups using region-of-interest and whole-brain voxelwise analyses.

291 Whole-brain voxelwise analysis revealed that activity re

292 component analysis were then correlated with whole-brain voxelwise functional connectivity maps of th

293 ce regions cerebellum, occipital cortex, and whole brain (WB) without ventricles.

294 -UCB-J were calculated and normalized by the whole-brain (WB) or brain stem (BS) average values as SU

295 maximal expression of the reporter protein, whole brains were processed, lipid cleared, and imaged w

296 Mean whole brain white matter volume was significantly smalle

297 imaging revealed significant differences in whole brain white matter volume, regional gray and white

298 to model between-group FA differences across whole-brain white matter and fiber tracts at each age; f

299 In whole-brain white matter, FA was significantly lower acr

300 iffusion-weighted imaging (DWI) to construct whole-brain white-matter connectomes.

301 persistent psychosis risk symptoms had lower whole-brain WM fractional anisotropy (FA) and higher rad