ライフサイエンスコーパス: connectome

1 of functional brain connections (functional connectome).

2 connectivity (SC; also called the structural connectome).

3 itated the generation of a complete synaptic connectome.

4 allow network architecture of the pharyngeal connectome.

5 assays to create a global model of the face connectome.

6 ore pronounced modular topology of the human connectome.

7 among chordates in having a complete larval connectome.

8 and functional evolution of the human brain connectome.

9 uding sleep, are needed to establish a brain connectome.

10 ontrollability estimated from the structural connectome.

11 leading method that is trained on the whole connectome.

12 ized networks of interest in the human brain connectome.

13 worsening of intelligibility in a structural connectome.

14 with increased modularity of the functional connectome.

15 ween white matter anatomy and the structural connectome.

16 nectivity from the perspective of multimodal connectome.

17 sus BD on the developmental formation of the connectome.

18 s that alter both cardiac patterning and the connectome.

19 constitute the "rich-club" of the C. elegans connectome.

20 s at unique locations within the human brain connectome.

21 ons undergirding current models of the human connectome.

22 ve correlation between the transcriptome and connectome.

23 global changes in the whole-brain functional connectome.

24 al (karate club) network and the mouse brain connectome.

25 understanding pathological changes of brain connectome.

26 connectivity in a large (n = 1000) normative connectome.

27 tractography to form a normative structural connectome.

28 tly estimating its impact on the whole brain connectome.

29 existence of specific biclique motifs in the connectome.

30 e neural elements into networks known as the connectome.

31 ng single-subject atrophy maps and the human connectome.

32 omial test P <= 4.08E-05) contributed to the connectome.

33 ure freedom (N = 16) in over 1,000 normative connectomes.

34 ipher organizational principles of mammalian connectomes.

35 synapse annotation for large densely mapped connectomes.

36 mework to larger and less well-characterized connectomes.

37 optogenetic circuit control to mapping whole connectomes.

38 ion for a fully network-driven comparison of connectomes.

39 for validating atlas-free parcellation brain connectomes.

40 developing new frameworks for mapping brain connectomes.

41 (DWI) to construct whole-brain white-matter connectomes.

42 le-brain diffusion tensor imaging structural connectomes.

43 rk communication, characterizes all cortical connectomes.

44 d, yet in spite of being one of the smallest connectomes (302 neurons), the design principles that ex

45 sity of the Drosophila optic lobe(3) and its connectome(4-6) are almost completely characterized.

46 higher global efficiency in their structural connectomes, a network configuration that theoretically

47 Here, we examine variation in functional connectomes across psychiatric diagnoses, finding striki

48 However, fMRI connectomes additionally involve negative edges, which m

49 ng connectome data from normal subjects or a connectome age, sex, and disease matched to our DBS pati

50 = .420; |r(edges)| = .583), suggesting that connectome aging occurs on broad dimensions of variation

51 f network organization that may place shared connectome alterations between brain disorders in a comm

52 explore how commonalities and differences in connectome alterations can reveal relationships across d

53 e psychosis onset, we performed a functional connectome analysis in a large cohort of medication-naiv

54 Connectome analysis was used to analyze weighted network

55 learning framework using the fusion of brain connectome and clinical data for early joint prediction

56 tructural network efficiency, the functional connectome and cognition.

57 f key organizational principles of the human connectome and observe that several disturbances to netw

58 ongitudinal trajectories of their functional connectome and structural tumour evolution using bi-mont

59 omics analyses and cross-species analyses of connectomes and brain connectivity matrices, as well as

60 esent a framework to encode structural brain connectomes and diffusion-weighted magnetic resonance (d

61 tabase, to further cross-species analyses of connectomes and illuminate wiring principles of cortical

62 o facilitate cross species analysis of brain connectomes and wiring principles of the brain.

63 ctome Project [HCP] and the 1,000 functional connectomes) and demonstrated that negative correlations

64 tient's epicenters in the healthy functional connectome, and derived two region-wise graph theoretica

65 ronal architecture, recently completed dense connectome, and extensive prior experimental studies of

66 This individual-connectome approach revealed several new types of spatia

67 There is growing recognition that connectome architecture shapes cortical and subcortical

68 by both microscale attributes and macroscale connectome architecture.

69 indicate that key features of the functional connectome are present in the second and third trimester

70 ogical information of negative edges in fMRI connectomes are increasingly important.

71 Resting state functional connectomes are massive and complex.

72 The modeling and analysis of connectomes are therefore a growing area.

73 Macroscopic human brain connectomes are usually derived from neuroimages; the an

74 h has demonstrated the use of the structural connectome as a powerful tool to characterize the networ

75 We approach the C. elegans connectome as an information processing network that rec

76 with the underlying monosynaptic structural connectome as provided by the Allen Brain Connectivity A

77 several key topological features of the real connectome as the generative model, yet better explained

78 t seizures harness the underlying structural connectome as they propagate.

79 to provide high-fidelity, whole mouse brain connectomes as a routine study.

80 human protein complex interactions and brain connectomes, as well as to infer the camouflaged social

81 that patients who have an efficiently-wired connectome at first onset of psychosis show a better sub

82 We use connectome based computational brain network modeling to

83 Finally, using connectome-based classification, most models trained on

84 rst episode of psychosis, evaluating whether connectome-based descriptions of brain networks predict

85 may constitute a generalizable solution for connectome-based diagnosis.

86 supporting the biological sensitivity of the connectome-based features, permutation tests revealed ab

87 we demonstrate that the sustained attention connectome-based predictive model (CPM), a validated mod

88 Here, we present connectome-based predictive modeling (CPM), a data-drive

89 sed predictor of cocaine abstinence by using connectome-based predictive modeling (CPM), a recently d

90 Connectome-based predictive modeling (CPM)-a recently de

91 apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state f

92 ving, diffuse alterations in adolescent mTBI connectomes beginning acutely and continuing to one year

93 f the four bundles as intended, matching the connectome blueprint previously defined.

94 lot study used the four-bundle tractography 'connectome blueprint' to plan surgical targeting in 11 p

95 rthermore, we demonstrated that the neuronal connectome, but not the tau strain, determines which bra

96 nally distinct subnetworks of the structural connectome by intersecting previously published function

97 Stratifying the connectome by its back-bone, known as the 'rich-club', t

98 Here we focus on the representation of connectomes by using graph theory formalisms.

99 system running in the fixed human anatomical connectome can give rise to the rich changes in the func

100 ce imaging (fMRI)-derived brain networks or "connectomes" can inform the study of brain function orga

101 ortant question whether the mouse functional connectome conforms to the underlying SC.

102 results sketch out a blueprint of mammalian connectomes consisting of species-specific and species-g

103 ut to which extent the individual structural connectome constrains the corresponding functional conne

104 ture of the brain, often referred to as the "connectome," corresponds to its function is arguably one

105 , robust, and transdiagnostic mode of genome-connectome covariation which is positively and specifica

106 S was combined with publicly available human connectome data (diffusion tractography and resting stat

107 location was computed using normative human connectome data (resting-state functional MRI, n = 1000)

108 Here, we combine human connectome data and biophysical modeling to begin fillin

109 Human connectome data can be used to link heterogeneous neuroi

110 termed 'lesion network mapping', which uses connectome data from a large cohort of healthy subjects

111 Results were similar using connectome data from normal subjects or a connectome age

112 independent publicly-available resting-state connectome data sets (the Human Connectome Project [HCP]

113 ) were estimated and combined with normative connectome data to identify structural connections passi

114 ing functional connectivity MRI from a large connectome database (N=1,000).

115 These data will also contribute to a macro connectome database of the ferret brain, providing essen

116 ncingly illustrated here via a diffusion MRI connectome dataset: The different embedding methods yiel

117 and neurophysiological studies investigating connectome development from 20 postmenstrual weeks to 5

118 g it a crucial and vulnerable time window in connectome development.

119 It is an open question, however, whether connectomes differ across individuals in a corresponding

120 stance matrix regression examined functional connectome differences between adjacent groups.

121 tational model of the Caenorhabditis elegans connectome dynamics, we show that proprioceptive feedbac

122 s of age), we tested whether aging-sensitive connectome elements are enriched for key domains of cogn

123 he UK Biobank, age differences in individual connectome elements corresponded closely with principal

124 anced functional requirements on the primate connectome employing an optimal trade-off model between

125 ramatically reduces storage requirements for connectome evaluation methods, with up to 40x compressio

126 nship between white matter hyperintensities, connectome fibre-length measures and aphasia severity as

127 Taken together, our comparative connectome findings suggest an evolutionary shift in the

128 First, we identified a connectome fingerprint (CFP) in healthy participants (Co

129 We extracted disorder connectome fingerprints for each of these 12 disorders a

130 Here we describe connectomes for both adult sexes of the nematode Caenorh

131 Large-scale functional connectome formation and reorganization is apparent in t

132 ors may interfere with early trajectories of connectome formation and thereby shape future health out

133 A connectome from central macaque retina was generated by

134 onstructed individual anatomical whole-brain connectomes from 90 left hemisphere stroke survivors usi

135 d our technique on functional and structural connectomes from human and murine brain data.

136 anatomically plausible individual structural connectomes from human neuroimaging.

137 om 3,684 CHD subjects and 1,789 controls for connectome gene mutations.

138 uncating and deleterious missense DNVs among connectome genes compared to controls (OR = 5.08, 95%CI:

139 e contribution of de novo variants (DNVs) in connectome genes, we annotated 229 published NDD genes f

140 mative functional network development during connectome genesis in utero Understanding the developmen

141 Combining connectome gradient and stepwise connectivity analysis b

142 Here we used 'connectome-harmonic decomposition', a novel method to in

143 The rat connectome has an onion-type structural organization and

144 tional communication in the human structural connectome has been precluded by the inability of non-in

145 perties of data, such as whether a genome or connectome has information about disease status, is incr

146 ical studies, the concept of the 'cerebellar connectome' has emerged that can be used as a framework

147 m of connections in neural systems, i.e. the connectome, has gained a central role in neurosciences.

148 Recent attempts to map human structural connectomes have concentrated on using tractography resu

149 Graph theoretical analysis revealed that PBD connectomes have fewer hubs, weaker rich club organizati

150 s of FC (often referred to as the functional connectome) have been related to the underlying structur

151 these transcriptomes with recently reported connectomes helps characterize how information is transm

152 Analysis of this comprehensive connectome identified PMN-MN 'labeled line' connectivity

153 This "enhancer connectome" identified 1,492 HiChIP gene targets from 54

154 Finally, we discuss future directions in connectome imaging and its interaction with other aspect

155 have already been successful applications of connectome imaging techniques in reconstructing challeng

156 With the fast advance of connectome imaging techniques, we have the opportunity o

157 allowing acquisition of a whole mouse brain connectome in <12 hr.

158 ensions of variation in the human structural connectome in aging-related cognitive decline.

159 STATEMENT The architecture of the functional connectome in focal dystonia was analyzed in a large pop

160 of the community structure of the functional connectome in OCD patients as nodes within the basal gan

161 Purpose To investigate the structural brain connectome in patients with Parkinson disease (PD) and m

162 e, the authors explore the entire functional connectome in relation to reward responsivity across a p

163 analysis of these SNPs and brain structural connectomes in 678 healthy children in the PING study.

164 of neural networks to study their functional connectomes in the context of neurodegenerative disease

165 anogaster, recently discovered synapse-level connectomes in the optic lobe, particularly in ON-pathwa

166 y a significant role in shaping the cortical connectome, in addition to the basic cost-efficiency tra

167 idean, predicts the multiscale properties of connectomes, including self-similarity.

168 The primate connectome indeed displays a cost-efficiency trade-off a

169 ions, and rewired connections in the current connectome, indicating the potential applicability of th

170 present SYNseq, a method for converting the connectome into a form that can exploit the speed and lo

171 ion of these normal subgroups partitions the connectome into sectors of neurons that match broad func

172 We conducted a connectome investigation at the mesoscale-level using th

173 ar controllability to Caenorhabditis elegans connectome is examined and discussed.

174 Understanding the rat neurochemical connectome is fundamental for exploring neuronal informa

175 focal glioblastoma lesions on the functional connectome is global and linked to functional proximity

176 The primate brain connectome is shaped by metabolic economy as well as fun

177 tome constrains the corresponding functional connectome is unknown, even though its importance is unc

178 er, it is unknown whether this time-variant 'connectome' is related to the individual differences in

179 ing diagram with single synapse precision-a 'connectome'-is based on imaging methods that are slow, l

180 al dynamics are partially encoded within the connectome itself, the connectivity of which facilitates

181 We outline a cross-disorder 'connectome landscape of dysconnectivity' along these pri

182 We contrasted the connectome layout between the chimpanzee and human brain

183 using a combined voxel-based-and structural connectome-lesion symptom mapping approach, since cortic

184 Despite rapid advances in connectome mapping and neuronal genetics, we lack theore

185 ecording technology could benefit functional connectome mapping, electrophysiological screening and o

186 ar recording, dissecting cancer biology, and connectome mapping.

187 with postmortem analysis of human brains and connectome-mapping studies.

188 Specifically, we reconstructed a local connectome matrix for each participant from diffusion sp

189 The proposed connectome model offers a self-consistent framework to l

190 Connectome modelling with 43 network parameters failed t

191 rokes causing amnesia and a map of the human connectome (n = 1000).

192 l connectivity network maps from a normative connectome (n = 1000).

193 implement the model on two cohorts of human connectome networks and investigate the effects of varyi

194 ize that the distinct dimensions along which connectome networks are organized (for example, 'modular

195 The individual structural brain connectome of 170 patients with PD (54 with MCI, 116 wit

196 We present the first connectome of a thermo- and hygrosensory neuropil, the l

197 ping to analyze the synaptic and peptidergic connectome of an entire neurosecretory center.

198 the electrical stimulation on a stereotypic connectome of converging white matter bundles (forceps m

199 ad box P3 prominently placed in a regulatory connectome of genes related to cellular immunity and fib

200 y extending our previous model, we propose a connectome of the brainstem-spinal circuitry and suggest

201 We provide a synaptic-resolution connectome of the circuitry upstream of all DANs in a le

202 We reconstructed a comprehensive connectome of the circuits of Drosophila's motion-sensin

203 the molecular composition of the electrical connectome of the nematode C. elegans through a genome-

204 The neural connectome of the nematode Caenorhabditis elegans has be

205 s gap by applying a control framework to the connectome of the nematode Caenorhabditis elegans, allow

206 (EM) reconstruction, we re-evaluate here the connectome of the pharyngeal nervous system, providing a

207 into a multiscale, multilayer neurochemical connectome of the rat brain.

208 demonstrated that high resolution structural connectomes of around 50,000 nodes can be generated repr

209 network properties of whole-brain structural connectomes of euthymic PBD patients with psychosis, a v

210 number of structural features with mesoscale connectomes of mouse and macaque.

211 The connectomes of organisms of the same species show remark

212 ical and clinical features of the functional connectomes of severe mental disease.

213 ically significant biclique subgraphs in the connectomes of three species and show that within many o

214 nism to the reproducible architecture of its connectome, offering experimentally falsifiable predicti

215 or neuroscientists to investigate the neural connectome or to analyze spatial information of various

216 which architectural principles of functional connectome organization are initiated before birth, and

217 In all CHRs, abnormal modular connectome organization at baseline was associated with

218 sychosis were found to show abnormal modular connectome organization at baseline, while CHR non-conve

219 This study examines connectome organization in children at familial high ris

220 ings suggest that human-specific features of connectome organization may be enriched for changes in b

221 nding the organizational principles of fetal connectome organization may bring opportunities to devel

222 To examine whether abnormalities in connectome organization precede psychosis onset, we perf

223 The primate connectome, possessing a characteristic global topology

224 We demonstrate that individual structural connectomes predict the functional organization of indiv

225 ng these results to the Drosophila hemibrain connectome predicts that individual Kenyon cells inhibit

226 ctone Project (HCP) and the Developing Human Connectome Project (dHCP), we calculated intrinsic funct

227 I) data from 783 healthy adults in the Human Connectome Project (HCP) dataset, we map the brain's dir

228 ata collected from 475 subjects in the Human Connectome Project (HCP) study for gambling and emotion

229 nd associated neural activation in the Human Connectome Project (N = 1038).

230 esting-state connectome data sets (the Human Connectome Project [HCP] and the 1,000 functional connec

231 n multimodal imaging data from a large Human Connectome Project cohort (N = 313), we demonstrate robu

232 econstruction using publicly available Human Connectome Project data.

233 New evidence from the Human Connectome Project has revealed multiple maps of visual

234 e used 100 unrelated datasets from the Human Connectome Project to study the frequency-dependent orga

235 (dMRI) in healthy 456 subjects of the Human Connectome Project using NODDI, DTI and a mathematical c

236 maging (fMRI) on 820 subjects from the Human Connectome Project, and magnetoencephalographic (MEG) re

237 Resonance Imaging (MRI) data from the Human Connectome Project, forming a two-layer multiplex networ

238 RI and 58 phenotypic measures from the Human Connectome Project, we find that dynamic FC captures tas

239 ealthy Caucasian adults drawn from the Human Connectome Project, we found that higher schizophrenia p

240 From the Human Connectome Project, we identified 177 young adults who b

241 ing study of 622 participants from the Human Connectome Project.

242 d in line with methods provided by the Human Connectome Project.

243 nectivity patterns using data from the Human Connectome Project.

244 . the 97 new regions identified in the Human Connectome Project.

245 es, 25 females in each group) from the Human Connectome Project.

246 using diffusion imaging data from the Human Connectome Project.

247 healthy participants derived from the Human Connectome Project.

248 (N = 359, 22-36 years, 174 men) of the Human Connectome Project.

249 usion and functional MRI data from the Human Connectome Project.

250 -shell acquisition schemes used in the Human Connectome Project.

251 of an fMRI dataset (n = 837) from the Human Connectome Project.

252 m 1003 healthy individuals part of the Human Connectome Project.

253 that are 21,000 times smaller than the human connectome protocol.

254 Using rabbit retinal connectome RC1, we show that all cone bipolar cell (BC)

255 We measured large increases in connectome resolution as function of data spatial resolu

256 The resulting functional connectome revealed an over-representation of multisynap

257 A simulated attack on each child's connectome revealed that some brain networks were strong

258 ucted the neurons and synapses of the S-cone connectome, revealing a novel inhibitory interneuron, an

259 scribe BRICseq (brain-wide individual animal connectome sequencing), which leverages DNA barcoding an

260 is affected in at-risk youths, reflecting a connectome signature of familial risk for psychotic illn

261 es, we annotated 229 published NDD genes for connectome status and analyzed data from 3,684 CHD subje

262 , the design principles that explain how the connectome structure determines its function remain unkn

263 the reconstruction of anatomical pathways in connectome studies.

264 We report on a cross-disorder connectome study comprising in total 1,033 patients and

265 At baseline, we used a human connectome style diffusion-weighted imaging (DWI) sequen

266 lie multiple features of empirical mammalian connectomes, such as projection existence and the distri

267 The hourglass organization of the connectome suggests that C. elegans has some similaritie

268 ill generate a robust, functionally oriented connectome that includes both partners in neuronal circu

269 the pain-free resting-state functional brain connectome that is predictive of interindividual differe

270 s enriched by immunity genes and a molecular connectome that links different pathogenic features of B

271 e, we present a conclusive and comprehensive connectome that, for the first time, integrates detailed

272 in strength between the sexes. Quantitative connectomes that include all connections serve as the ba

273 A new study has mapped the connectome - the shapes and connections of all the neuro

274 and anatomical computing by evaluating 1,490 connectomes, thirteen tractography methods, and three da

275 lly linked to the Ising model defined on the connectome, thus yielding modularity result that maximiz

276 m inferring the evolution of the human brain connectome to conventional citation and social networks,

277 ctional connectivity using a large normative connectome to determine brain regions functionally conne

278 wiring diagram of the brain called the human connectome to localize lesion-induced disorders to sympt

279 Our results show the ability of the enhancer connectome to nominate functionally relevant candidates

280 Here, we leverage the normative human brain connectome to test whether seemingly heterogeneous neuro

281 framework to link the adjacency matrix of a connectome to the expression patterns of its neurons, he

282 buted nature of mTBI and recovery, we employ connectomes to probe the brain's structural organisation

283 xplored the multiscale organization of human connectomes using datasets of healthy subjects reconstru

284 herapeutic potential for shaping the brain's connectome via gene-targeted designer activators and rep

285 implemented on an anatomical brain network (connectome), we investigate the similarity between an in

286 ed synapse prediction suited to such a large connectome, we successfully corroborate previous finding

287 h visuomotor circuits predicted by the Ciona connectome, we used expression maps of neurotransmitter

288 Finally, using fruit fly, mouse and macaque connectomes, we provide further evidence suggesting that

289 nd to be effective in large voxel-wise brain connectomes where subjects can be identified from their

290 This allows us to generate the PEL enhancer connectome, which links enhancers and promoters in PEL g

291 Connectome white matter organization measured through mo

292 re, we outline a novel concept of functional connectome-wide alterations that are linked to dystonia

293 rol subjects, N=53), the authors conducted a connectome-wide analysis examining the relationship betw

294 hese findings provide the first evidence for connectome-wide associations of schizophrenia polygenic

295 healthy aging is associated with whole-brain connectome-wide changes in the functional modular organi

296 with principal component loadings reflecting connectome-wide integrity (|r(nodes)| = .420; |r(edges)|

297 tionships between polygenic risk factors and connectome-wide neural mechanisms are unclear.

298 This PMN-MN connectome will provide a foundation for analyzing the f

299 97% precision and recall in binary cortical connectomes with no user interaction.

300 del to gain new insights into the inhibitory connectome within the respiratory central pattern genera