ライフサイエンスコーパス: tractography

1 ons were assessed with diffusion-based fiber tractography.

2 aging at rest and diffusion-weighted imaging tractography.

3 nitive and pain processing functions through tractography.

4 st were reconstructed by using probabilistic tractography.

5 l anisotropy (FA), mean diffusivity (MD) and tractography.

6 e reconstructed with both DKI- and DTI-based tractography.

7 ct-based spatial statistics (TBSS) and fiber tractography.

8 tem dissection and advance diffusion imaging tractography.

9 d cortical and subcortical regions using DTI tractography.

10 between postmortem dissections and diffusion tractography.

11 ation tracts were traced using probabilistic tractography.

12 were incompletely identified with DTI-based tractography.

13 y, which is quite different from the idea of tractography.

14 brain deterministic diffusion tensor imaging tractography.

15 o structural brain connectivity is diffusion tractography.

16 etic subjects using diffusion tensor imaging tractography.

17 longitudinal fasciculus using probabilistic tractography.

18 usion magnetic resonance imaging-based fiber tractography.

19 sSTR were quantified using diffusion tensor tractography.

20 e diffusion tensor imaging and probabilistic tractography.

21 quantified using probabilistic neighborhood tractography.

22 ased on diffusion magnetic resonance imaging tractography.

23 ighted imaging, and diffusion tensor imaging tractography.

24 on a whole-brain network derived from human tractography.

25 angular resolution diffusion imaging (HARDI) tractography.

26 reconstructed with seed-based probabilistic tractography.

27 fields, scalar DTI metrics, and quantitative tractography.

28 re selected individually using deterministic tractography.

29 ays documented by magnetic resonance imaging tractography.

30 ined by using deterministic diffusion-tensor tractography.

31 15 minutes to enable three-dimensional (3D) tractography.

32 on diffusion-weighted MRI and probabilistic tractography.

33 Using probabilistic tractography, a grey matter connection network was defin

34 was highly dependent upon parameters of the tractography algorithm, with different optimal values fo

35 There are many different tractography algorithms and each requires the user to se

36 the properties of the connectome, to compare tractography algorithms and to test hypotheses about tra

37 of brain connectivity and the development of tractography algorithms in the primate brain.

38 Do novel tractography algorithms provide a real advantage over pr

39 Diffusion MRI tractography allows in-vivo characterization of white ma

40 Probabilistic tractography analyses calculated brain white matter conn

41 Tractography analyses demonstrated that the regions in t

42 ral magnetic resonance imaging and diffusion-tractography analyses of intrahemispheric and interhemis

43 onnections was estimated using probabilistic tractography analyses.

44 In addition, tractography analysis of the uncinate fasciculus, a trac

45 Tractography analysis of these specific pathways showed

46 s, we performed a skeletonized probabilistic tractography analysis--'seeding' the rostral temporal vo

47 22 known deep WM tracts using Q-ball imaging tractography and an automatized segmentation technique.

48 BUAN combines tractography and anatomical information to analyze the c

49 reconstructed separately using deterministic tractography and anatomical landmarks.

50 erties using graph theory from probabilistic tractography and calculated changes in psychomotor speed

51 hich need to be considered when interpreting tractography and connectivity results.

52 st exciting recent advancements in diffusion tractography and critically highlight their advantages a

53 ovel framework for estimating reliability of tractography and encourages innovation to address its cu

54 Here, we combined diffusion imaging tractography and functional MRI to study whether the str

55 test this hypothesis we performed diffusion tractography and graph theoretical analysis in a pseudo-

56 d, using diffusion tensor MRI, probabilistic tractography and graph theory based network analysis.

57 eshold of 40 degrees , the authors performed tractography and measured apparent diffusion coefficient

58 Using multi-fiber probabilistic diffusion tractography and MEG source analysis of conditioning-tes

59 Using a combination of probabilistic tractography and network analysis of the white matter tr

60 connections combining diffusion-weighted MRI tractography and neuronal tracing data.

61 accounts of language with recent advances in tractography and neuropragmatics.

62 diffusion tensor imaging with probabilistic tractography and pattern recognition techniques.

63 ic radiation can be accurately delineated by tractography and propagated onto postoperative images.

64 y available human connectome data (diffusion tractography and resting state functional connectivity)

65 The CB was tracked using probabilistic tractography and split into anterior and posterior porti

66 Conclusion Whole-brain CSD-based fiber tractography and super-resolution TDI mapping reveals ab

67 found a correlation between log-transformed tractography and tracer connection weights of r = 0.59,

68 ength and found that the correlation between tractography and tracers remains positive, albeit substa

69 m analysis from diffusion tensor MR imaging, tractography and tract of interest method have been adop

70 to provide explicit validation of diffusion tractography and transfer tractography strategies across

71 In contrast, advanced MRI (i.e., tractography) and blood proteomics (i.e., vascular endot

72 with structural (diffusion MRI-probabilistic tractography) and functional (stochastic dynamic causal

73 igrostriatal tract (defined by correlational tractography) and the degree of striatal dopaminergic de

74 t using whole-brain diffusion tensor imaging tractography, and analysed using graph analysis and netw

75 on measures were calculated using streamline tractography, and correlations with DMN functional conne

76 eighted magnetic resonance image (MRI)-based tractography, and functional interactions were assessed

77 nical assessment, diffusion-weighted MRI for tractography, and functional MRI during a finger tapping

78 er tracts by deterministic and probabilistic tractography, and provide supporting resting-state funct

79 in vivo using diffusion-weighted imaging and tractography, and show that the VOF can be found in ever

80 grey matter brain regions were defined using tractography, and structural connectivity matrices calcu

81 ivity was assessed by means of probabilistic tractography, and the integrity of the resulting fibers

82 ns of interest was mapped with probabilistic tractography, and the probabilistic fibre density betwee

83 g diffusion magnetic resonance imaging (MRI) tractography approach by incorporation of additional fea

84 In summary, a systematic ensemble tractography approach can produce connectomes that are s

85 In this study, we used a novel tractography approach to demonstrate that frontal lobe n

86 tem (by magnetic resonance imaging diffusion tractography), assuming that marked hypoplasia or Waller

87 eters were used to build an AR probabilistic tractography atlas.

88 In vivo tractography based on diffusion magnetic resonance imagi

89 Correlational tractography based on diffusion MRI can incorporate liga

90 Tractography based on diffusion MRI has great potential

91 Tractography based on diffusion MRI offers the promise o

92 onnectome, has been demonstrated using fiber tractography based on diffusion tensor imaging (DTI).

93 Probabilistic tractography based on diffusion-weighted imaging was per

94 Tractography based on diffusion-weighted MRI (DWI) is wi

95 tudy was to assess structural asymmetry with tractography based on diffusional kurtosis imaging (DKI)

96 We also used MR tractography based on high-angular resolution diffusion

97 Tractography based on non-invasive diffusion imaging is

98 s to the well known limitations of classical tractography based on the tensor model.

99 application of this atlas by calculating DTI tractography based structural connectivity between the a

100 Tractography-based analysis confirmed the results within

101 le-brain tract-based spatial statistics, and tractography-based analysis on corticospinal tracts.

102 Based on this exploratory analysis, a tractography-based approach with constrained spherical d

103 parameters set on the full group to build a tractography-based atlas of the AR.

104 Cross-correlation in the tractography-based connectivity patterns of parietal vox

105 interareal cortical distances, we show that tractography-based estimates of connection strength have

106 Using DW-MRI tractography-based parcellation, we identified 10 dorsal

107 Deterministic tractography between FC-impaired regions was performed t

108 Finally, we performed probabilistic tractography between the frontal and posterior nodes of

109 imaging (DKI), which improves upon DTI-based tractography by delineating intravoxel crossing fibers.

110 Diffusion tensor imaging (DTI) tractography can delineate the optic radiation preoperat

111 These results suggest that DKI-based tractography can improve the identification of asymmetri

112 or language, motor function, and memory, and tractography can reveal white matter tracts that are vit

113 h tracts, we organized an open international tractography challenge, which resulted in 96 distinct su

114 ng grey matter morphometry and probabilistic tractography combined with multivariate statistical mode

115 ization modeling for microstructure informed tractography (COMMIT).

116 tenable by the parallel connectivity in dMRI tractography connecting the anterior regions of the PFC

117 Tractography connection weights were estimated using a f

118 rgery, this pilot study used the four-bundle tractography 'connectome blueprint' to plan surgical tar

119 ic impairment after STN-DBS and suggest that tractography could be used to predict the incidence of a

120 by diffusion magnetic resonance imaging and tractography, could explain interindividual differences

121 strained spherical deconvolution (CSD)-based tractography data and super-resolution track-density ima

122 abnormal structures were not visible on the tractography data from any of the control subjects and w

123 The tractography data were overlaid on coregistered three-di

124 nique using cortical thickness and diffusion tractography data, showing that the subnetworks which em

125 Using the full tractography data, we were able to cluster, visualize, a

126 Structural MRI and diffusion tractography demonstrated broad disorganization of white

127 Whole-brain activation volume tractography demonstrated that all DBS responders at 6 m

128 Diffusion tensor imaging tractography demonstrates a close relationship between f

129 es were based on spherical deconvolution and tractography-derived indices of tract volume and hindran

130 on Tensor Imaging (DTI) and Diffusion Tensor Tractography (DTT).

131 ing deep brain stimulation, and neuroimaging tractography efforts to localize descending orofacial mo

132 asured with graph theoretical metrics of DTI tractography, even in the preclinical stages of AD.

133 However, DTI-based tractography fails to resolve axonal fiber bundles that

134 The in vivo tractography findings were confirmed with histology.

135 the semantic dementia group mapped onto the tractographies for the uncinate and arcuate bundles well

136 ive on both the strengths and limitations of tractography for analyzing interareal corticocortical co

137 c resonance imaging scans were performed for tractography from optimally activated electrode contacts

138 Tractography has created new horizons for researchers to

139 and clinical applications, diffusion imaging tractography has reached a crossroad.

140 including voxelwise, region of interest and tractography, have been used in HD cohorts, showing a ce

141 he reference were obtained for probabilistic tractography, high b-values and default tractography par

142 For diffusion tractography, high-resolution diffusion imaging datasets

143 oned cortex also influenced diffusion tensor tractography, highlighting the fact that spurious tracts

144 hrough the deep white matter, the success of tractography hinges on the capacity to follow fibers acr

145 = .01, false discovery rate corrected), and tractography identified significant WM differences bilat

146 Virtual tractography illustrates 3D topography among interconnec

147 usion tensor imaging (DTI) and probabilistic tractography in 15 patients with schizophrenia and 22 ag

148 Using probabilistic diffusion tractography in healthy humans and rhesus monkeys, we sh

149 -based psychophysics, diffusion imaging, and tractography in human participants.

150 onstructed from diffusion tensor imaging and tractography in physically healthy unmedicated 18- to 25

151 The advent of diffusion MRI tractography in recent years has allowed a resurgence of

152 hanges of diffusion-tensor imaging (DTI) and tractography in the distal femur and proximal tibia rela

153 the cerebral areas identified using in vivo tractography, in addition to the cerebral motor cortex,

154 -3)mm(2)/sec), and fiber paths, extracted by tractography, increase linearly with gestation, indicati

155 Probabilistic tractography indicated that 10%-20% of interindividual v

156 ng constrained spherical deconvolution-based tractography indicated that fractional anisotropy and ap

157 Probabilistic tractography indicated that the regional abnormality lie

158 uring human evolution.SIGNIFICANCE STATEMENT Tractography is a unique tool to map white matter connec

159 Quantitative diffusion-tensor tractography is able to show posttraumatic FA and ADC ab

160 However, tractography is an advanced and challenging method that

161 ed from diffusion-weighted imaging data, but tractography is an indirect method with numerous limitat

162 Diffusion-weighted imaging coupled with tractography is currently the only method for in vivo ma

163 er, assessing the anatomical accuracy of DWI tractography is difficult because of the lack of indepen

164 support the utility of a group probabilistic tractography map as a connectome blueprint for individua

165 graphy map to the pre-surgical deterministic tractography map for each subject.

166 by matching the post-operative probabilistic tractography map to the pre-surgical deterministic tract

167 The tractography maps were used to identify networks that we

168 ith ALS or ALS-FTD, changes in corticospinal tractography measures correlated with changes in ALSFRS-

169 ar significance, this study identified novel tractography measures that are able to detect mTBI and m

170 Diffusivity and fiber tractography measures were calculated.

171 Applying the same tractography method to human dMRI data, we demonstrated

172 rimates and a framework for assessing future tractography methodological refinements objectively.

173 ed connectional imaging by applying advanced tractography methods to an ex vivo DWI dataset of the ma

174 The results of different tractography methods were compared with maps of known ax

175 quality and implementation of sophisticated tractography methods will lead to increasingly accurate

176 ng by evaluating 1,490 connectomes, thirteen tractography methods, and three data sets.

177 The VBM and probabilistic tractography metrics were correlated with clinical respo

178 Patient-specific activation volume tractography modeling may identify critical tracts that

179 diffusion tensor images using probabilistic tractography (MRtrix 3.0) between pairs of brain regions

180 urements of R1 (1/T1) with diffusion MRI and tractography (N=102, ages 7-85).

181 tracts to reconstruct using diffusion tensor tractography, namely, the middle and superior cerebellar

182 e brain's connectivity network obtained from tractography of 14 healthy-brain MRIs.

183 tories in macaque monkeys with diffusion MRI tractography of both macaques and humans.

184 Tractography of the corticospinal tract and the medial l

185 diffusion tensor magnetic resonance imaging tractography of the heart in vivo, is presented.

186 Microstructural parameters were analyzed via tractography of the main bundles in the limbic system an

187 Tractography of the optic radiation was performed on pre

188 redictors of recovery derived from diffusion tractography of the perisylvian language networks.

189 riven resting connectivity and probabilistic tractography of the right inferior longitudinal fascicul

190 uctural connectivity analyses (probabilistic tractography) of multimodal neuroimaging data examining

191 Deterministic fiber tractography on diffusion spectrum imaging data from neu

192 of these regions, we employed probabilistic tractography on diffusion tensor imaging data.

193 sing residual bootstrap Q-ball probabilistic tractography on high angular resolution diffusion-weight

194 st enough to propagate accurate preoperative tractography onto intraoperative scans acquired during n

195 hether conduction distance was obtained from tractography or from histological analysis of labeled ax

196 sheet poses severe challenges for long-range tractography over roughly half of the brain.

197 stics: P < .05, family-wise error corrected; tractography: P values < .001 to .05, false discovery ra

198 e data, the use of different acquisition and tractography parameters lead to very different AR recons

199 investigated the effects of acquisition and tractography parameters on the AR reconstruction using p

200 stic tractography, high b-values and default tractography parameters: these parameters were used to b

201 With probabilistic tractography, pathways between the amygdala and the dors

202 Post hoc analyses of the structural tractography patterns mediating distinct categories of e

203 Because tractography performs fiber tracking according to local

204 had been reconstructed using a deterministic tractography protocol.

205 dentified in both postmortem dissections and tractography reconstructions: (1) U-fibres running in th

206 ional connectivity during the resting state, tractography related to DMN, and the association between

207 Diffusion axonal tracing, namely tractography, relies on local directional information pr

208 Can tractography reproduce reliably known anatomy or describ

209 Tractography resulted in parallel tracts in the physis a

210 tural connectomes have concentrated on using tractography results derived from diffusion-weighted ima

211 Diffusion tensor imaging tractography revealed increased structural connectivity

212 Diffusion tensor imaging tractography revealed increased structural integrity in

213 In addition, tractography revealed no significant differences in diff

214 In parallel, DTI-based tractography revealed weaker AI-PPC structural connectiv

215 Here, we evaluate tractography's ability to estimate the presence and stre

216 We found the correlation of tractography's estimated connection strengths versus tra

217 we describe methods to assess quantitatively tractography's performance in detecting interareal corti

218 We then conducted whole brain probabilistic tractography seeding from the previously identified cont

219 sis of combined resting-state fMRI diffusion tractography showed pronounced modifications of function

220 Diffusion tractography showed that of the three groups of interhem

221 ation of diffusion tractography and transfer tractography strategies across species to test the exten

222 estimate interareal connection lengths from tractography streamlines, we regressed out the distance

223 athway that has been largely omitted in many tractography studies because its location and anatomical

224 Tractography studies investigating white matter (WM) abn

225 , multicenter, international, Q-ball imaging tractography study comparing 118 BPI patients and 86 hea

226 brain injury (PBI) for an fMRI/diffusion MRI tractography study of working memory and hypothesized th

227 The intraoperative data combined with tractography suggests that cortico-subcortical tracts, o

228 Diffusion MRI measures based on tractography supported the findings of decreased DMN-CEN

229 Tractography takes diffusion measurements as input and p

230 ividualized, patient-specific, deterministic tractography targeting, confirming retrospective finding

231 c indications for non-invasive diffusion MRI tractography, the only existing method to map these fibr

232 ailable from the human brain using MRI-based tractography, thus providing a novel perspective on the

233 e consciousness threshold, and diffusion MRI tractography to assess structural connectivity in 97 hum

234 We then used fiber tractography to assess the structural integrity of the f

235 We then used diffusion-weighted imaging with tractography to assess white matter structure in the pat

236 This work allows tractography to be used for large scale and high-quality

237 aimed here to use diffusion tensor MRI (DTI) tractography to characterize the evolution of fiber arch

238 We used DTI and probabilistic tractography to compare FA and RD in ten prefrontal-cent

239 angular resolution diffusion imaging (HARDI) tractography to construct structural connectivity networ

240 In this study we used diffusion tractography to define the anatomy of the frontal aslant

241 Here we performed probabilistic DWI tractography to delineate this cognitive control network

242 , and uncinate) tracts were quantified using tractography to derive measures of fractional anisotropy

243 We applied probabilistic tractography to diffusion-weighted images, reconstructin

244 c measures based on diffusion tensor imaging tractography to examine both diffusivity and geometric p

245 oral testing, and magnetic resonance imaging tractography to examine the connectivity of LIS1-deficie

246 (n = 32) were used to generate probabilistic tractography to form a normative structural connectome.

247 , functional magnetic resonance imaging, and tractography to investigate the functional and structura

248 The present study employed diffusion MRI tractography to investigate the relationship between mic

249 iffusion weighted imaging with probabilistic tractography to investigate these connections in humans.

250 etworks were then used to generate 'reverse' tractography to parcellate the total volume of stimulati

251 ug-using controls, and we used probabilistic tractography to quantify changes in corticosubcortical c

252 racy of diffusion magnetic resonance imaging tractography to replicate those connections in nonhuman

253 g and diffusion tensor imaging probabilistic tractography to study the functional and anatomical inte

254 d diffusion tensor imaging and probabilistic tractography to study the relationship between music rew

255 Here we use diffusion tractography to subdivide the right NAc into lateral-ros

256 we used a tract-specific analysis, based on tractography, to carry out a more detailed analysis of i

257 uctural connectivity, based on probabilistic tractography, to prefrontal cortical and subcortical lim

258 , combined analysis of whole-brain diffusion tractography together with genomewide, single-nucleotide

259 Tractography uses diffusion MRI to estimate the trajecto

260 Tractography using a constrained spherical deconvolution

261 tworks were reconstructed with probabilistic tractography using the participant-specific subthalamic

262 matter tracts was performed with streamline tractography; values of DTI diffusion-tensor imaging par

263 Patterns of tractography varied with age in the femur (P < .001) and

264 Diffusion tensor magnetic resonance imaging tractography was able to directly resolve the ability of

265 Here advanced tractography was combined with quantitative indices to c

266 Deterministic white matter tractography was performed after voxelwise tensor calcul

267 Diffusion-tensor tractography was performed at 3.0 T in 106 consecutive c

268 Tractography was performed by using a fractional anisotr

269 Fiber tractography was performed for each individual for a pri

270 diation and arcuate fasciculus probabilistic tractography was performed for each subject.

271 Probabilistic tractography was performed on high-quality postmortem di

272 Correlational tractography was performed to assess quantitative anisot

273 Whole brain tractography was performed using a spherical deconvoluti

274 In addition, deterministic tractography was used to assess the integrity of ascendi

275 Probabilistic tractography was used to delineate the white matter trac

276 Fiber tractography was used to derive whole brain structural g

277 Diffusion tractography was used to dissect and extract indirect vo

278 Probabilistic tractography was used to identify bilateral inferior lon

279 Kurtosis-based diffusion tensor tractography was used to measure mean kurtosis (MK) alon

280 Tractography was used to obtain indirect indices of micr

281 Probabilistic tractography was used to quantify anatomical connectivit

282 Diffusion-weighted MRI tractography was used to reconstruct three candidate fas

283 nnectivity MRI (rs-fcMRI) and diffusion MRI (tractography), we examined connectivity within the defau

284 Using FOD-based tractography, we describe novel methods for fiber bundle

285 Using global probabilistic tractography, we examined relationships between WM struc

286 Using probabilistic tractography, we identified anatomical connections betwe

287 By combining diffusion-weighted MRI with tractography, we identified the anatomical trajectory of

288 Using quantitative tractography, we measured fractional anisotropy and two

289 Using diffusion MRI tractography, we revealed structural connectivity maps o

290 eighted magnetic resonance imaging and fibre tractography were applied in 17 patients with V1 damage

291 matrices based on whole-brain deterministic tractography were constructed, followed by the computati

292 FA, MD and tractography were found to be highly sensitive to change

293 t-based spatial statistics and probabilistic tractography were used to measure integrity of WM micros

294 Tract-based spatial statistics and tractography were used to study white matter tract damag

295 ted the TC projections inferred from in vivo tractography with correlative histological axonal tracin

296 on contacts was assessed using probabilistic tractography with diffusion-tensor data.

297 Tractography with monkey diffusion magnetic resonance im

298 es diffusion tensor estimation, white matter tractography with single and multi-fiber models, and dMR

299 Tractography yielded helically arranged tracts for nativ

300 This was substantiated by applying tractography, yielding a relationship between trait anxi