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1 ve maps of neural connections in the brain ("connectomes").
2 connectivity (SC; also called the structural connectome).
3  with increased modularity of the functional connectome.
4 ween white matter anatomy and the structural connectome.
5 cation of community structure of human brain connectome.
6 on and occurs primarily outside the synaptic connectome.
7 n be achieved only by mapping the whole-body connectome.
8 ogs, and the Caenorhabditis elegans chemical connectome.
9 peech and language from the integrity of the connectome.
10 ors on the unique configuration of the human connectome.
11 sus BD on the developmental formation of the connectome.
12  reveal dynamically relevant features of its connectome.
13 astic factor in the development of the mouse connectome.
14 rinsic grey matter connectivity of the human connectome.
15  resulting weighted and directed mouse brain connectome.
16 and contingent on the structure of the human connectome.
17 ne the dopamine neuron excitatory functional connectome.
18 thin specific network motifs embedded in the connectome.
19 ite the absence of a declared synapse in the connectome.
20 o identify multiple peptidergic neurons in a connectome.
21 orged the formation of the functional speech connectome.
22 s shaped by its embedding in the large-scale connectome.
23  of developmental modules of the human brain connectome.
24 ughout the entire brain, the so-called human connectome.
25 account, the hippocampus is a key hub in the connectome.
26 acking and mapping of the living mouse brain connectome.
27 hysiological basis of human brain functional connectome.
28 s at unique locations within the human brain connectome.
29 ons undergirding current models of the human connectome.
30 ve correlation between the transcriptome and connectome.
31 global changes in the whole-brain functional connectome.
32 al (karate club) network and the mouse brain connectome.
33  understanding pathological changes of brain connectome.
34 igh-fidelity, individual-specific functional connectomes.
35 s for a direct comparison between structural connectomes.
36 pology, between human and macaque functional connectomes.
37 rphometry, as well as whole-brain functional connectomes.
38 mework to larger and less well-characterized connectomes.
39 a method to evaluate the evidence supporting connectomes.
40 ack of detailed synaptic connection maps, or connectomes.
41  synapse annotation for large densely mapped connectomes.
42 optogenetic circuit control to mapping whole connectomes.
43 ion for a fully network-driven comparison of connectomes.
44 for validating atlas-free parcellation brain connectomes.
45  developing new frameworks for mapping brain connectomes.
46 necessary but not sufficient foundation is a connectome, a complete matrix of structural connections
47 usion measurements as input and produces the connectome, a large collection of white-matter fascicles
48 higher global efficiency in their structural connectomes, a network configuration that theoretically
49  complete description of the mouse mesoscale connectome acquired to date.
50                                However, fMRI connectomes additionally involve negative edges, which m
51 ng connectome data from normal subjects or a connectome age, sex, and disease matched to our DBS pati
52  emphasize an integrative approach to future connectome analyses for avoiding such pitfalls.
53 henotypic associations with variation in the connectome and cataloging of neurophenotypes promise to
54 random search abstracted from the C. elegans connectome and fit to a large-scale kinematic analysis o
55 clustering coefficient (10 bins) of vascular connectome and HVPG had a Pearson correlation of 0.977 (
56      This might indicate that V1's intrinsic connectome and its functional architecture adhere to a s
57 tween macroscale organization of the macaque connectome and microscale cortical neuronal architecture
58 we give an in-depth characterization of this connectome and propose a generative network model which
59 stability arises from the healthy structural connectome and relates to cognitive performance.
60 ransmitters within the context of the entire connectome and within specific network motifs embedded i
61 ship between individual subjects' functional connectomes and 280 behavioral and demographic measures
62 esent a framework to encode structural brain connectomes and diffusion-weighted magnetic resonance (d
63      We call this neuronal ensemble the "gut connectome" and summarize the work from a food sensory p
64 ctome Project [HCP] and the 1,000 functional connectomes) and demonstrated that negative correlations
65 lopmental abnormalities in the schizophrenia connectome, and lead to the hypothesis that visual hallu
66  muscle that were missing from the published connectome, and we show that these "missed synapses" are
67                              This individual-connectome approach revealed several new types of spatia
68 d the overlap between infant and adult brain connectome architecture, but electrophysiological analys
69 ng-range fascicles, whereas single-parameter connectomes are biased towards one or the other.
70 ogical information of negative edges in fMRI connectomes are increasingly important.
71                 The modeling and analysis of connectomes are therefore a growing area.
72                                        Brain connectomes are topologically complex systems, anatomica
73                      Macroscopic human brain connectomes are usually derived from neuroimages; the an
74                                   Interareal connectomes are whole-brain wiring diagrams of white-mat
75 h has demonstrated the use of the structural connectome as a powerful tool to characterize the networ
76  Linear fascicle evaluation (LiFE) takes any connectome as input and predicts diffusion measurements
77  with the underlying monosynaptic structural connectome as provided by the Allen Brain Connectivity A
78                      Here, analyzing the cat connectome as reconstructed from tract tracing data, we
79 e advances in pediatric imaging of the brain connectome as the field faces the challenge of unravelin
80 several key topological features of the real connectome as the generative model, yet better explained
81  that patients who have an efficiently-wired connectome at first onset of psychosis show a better sub
82  we produced a first draft of the Drosophila connectome at the mesoscopic scale, reconstructed from 1
83 ate functional MRI data to analyze the brain connectome at varying scales and densities.
84 decipher in vivo the entire brain circuitry (connectome) at a microscopic level.
85 nd diffusion tensor imaging-based structural connectome), auditory word comprehension and object reco
86                                       We use connectome based computational brain network modeling to
87                                              Connectome-based analysis highlighted the role of connec
88                                              Connectome-based analysis was similar to lesion-based an
89                     Our results support that connectome-based approaches are an important complement
90 rst episode of psychosis, evaluating whether connectome-based descriptions of brain networks predict
91 connectivity patterns, our group developed a connectome-based predictive modeling (CPM) approach.
92                             Here, we present connectome-based predictive modeling (CPM), a data-drive
93  a group probabilistic tractography map as a connectome blueprint for individualized, patient-specifi
94 f the four bundles as intended, matching the connectome blueprint previously defined.
95 lot study used the four-bundle tractography 'connectome blueprint' to plan surgical targeting in 11 p
96 alysis of a connectivity map of the cortical connectome both on high- and low-resolutions utilising t
97         Our observations also illustrate why connectome builders and users should be cognizant that f
98 rthermore, we demonstrated that the neuronal connectome, but not the tau strain, determines which bra
99 etween topology and wiring cost in the mouse connectome by using data from 461 systematically acquire
100 , we analyze the value of creating optimized connectomes by systematically combining candidate stream
101       Here we focus on the representation of connectomes by using graph theory formalisms.
102 ad a high clustering coefficient of vascular connectome (C = 0.4447; interquartile range [IQR], 0.386
103                         Thus, the C. elegans connectome can be mapped as a multiplex network with syn
104 flects the largest complexity its anatomical connectome can host.
105 ctional investigations, and demonstrate that connectomes can provide key insights into neuronal compu
106 ce imaging (fMRI)-derived brain networks or "connectomes" can inform the study of brain function orga
107    Our results imply that currently standard connectome characterizations are based on circular analy
108             At macroscopic scales, the human connectome comprises anatomically distinct brain areas,
109 alue of rich club organization in a cellular connectome confirms theoretical expectations and recapit
110 ortant question whether the mouse functional connectome conforms to the underlying SC.
111 e using electron microscopy to reconstruct a connectome, containing 379 neurons and 8,637 chemical sy
112                                    The mouse connectome contains high-participation hubs, which are n
113 ture of the brain, often referred to as the "connectome," corresponds to its function is arguably one
114 S was combined with publicly available human connectome data (diffusion tractography and resting stat
115 ased efforts in the assembly and analysis of connectome data are providing new insights into the prin
116 ression; and (ii) publically available human connectome data can be used to incorporate these network
117                   Results were similar using connectome data from normal subjects or a connectome age
118 independent publicly-available resting-state connectome data sets (the Human Connectome Project [HCP]
119 e with the rest of the brain using normative connectome data; and (iii) overlapping lesion-associated
120 ion of the mouse and rhesus macaque cortical connectome derived from complete neuroanatomical tracing
121 and neurophysiological studies investigating connectome development from 20 postmenstrual weeks to 5
122 stance matrix regression examined functional connectome differences between adjacent groups.
123 enital sensory loss could be thought of as a connectome disease, with interindividual variability in
124 tational model of the Caenorhabditis elegans connectome dynamics, we show that proprioceptive feedbac
125 anced functional requirements on the primate connectome employing an optimal trade-off model between
126 ng, while the shortest path structure of the connectome enables cooperative effects, accelerating the
127 ramatically reduces storage requirements for connectome evaluation methods, with up to 40x compressio
128                                        Their connectome evolves over 10,000s of generations.
129  found throughout the Caenorhabditis elegans connectome, few reports describe the mechanisms that reg
130                                    The local connectome fingerprint also revealed neuroplasticity wit
131                          Moreover, the local connectome fingerprint can be used as a phenotypic marke
132 cans (total N = 213), we show that the local connectome fingerprint is highly specific to an individu
133  white matter architecture as a single local connectome fingerprint that allows for a direct comparis
134 to impact with degradation in the structural connectome for a single individual.
135 t by systematically searching the C. elegans connectome for pathways linking chemosensory neurons to
136 port a brain-wide, cellular-level, mesoscale connectome for the mouse.
137 onstructed individual anatomical whole-brain connectomes from 90 left hemisphere stroke survivors usi
138 anatomically plausible individual structural connectomes from human neuroimaging.
139 ror of the diffusion MRI data than optimized connectomes generated using a single-algorithm or parame
140                                              Connectome genetics seeks to uncover how genetic factors
141 rather than specific features of the retinal connectome govern this computation: an excess of inhibit
142                                   Structural connectome graphs were created from DT images, and conne
143                                Here we used 'connectome-harmonic decomposition', a novel method to in
144                                      The rat connectome has an onion-type structural organization and
145           Our analysis showed that the mouse connectome has small-world properties, a hierarchical mo
146 on of remote changes in the structure of the connectome has so far mainly been tested by modelization
147   Quantifying differences or similarities in connectomes has been a challenge due to the immense comp
148  brain white matter (WM) pathways, i.e., the connectome, has been demonstrated using fiber tractograp
149 m of connections in neural systems, i.e. the connectome, has gained a central role in neurosciences.
150 theoretic analyses of the static large-scale connectome have failed to demonstrate the centrality of
151 ructural ingredients of the brain and neural connectomes have been identified in recent years.
152 s of FC (often referred to as the functional connectome) have been related to the underlying structur
153              We describe here the human gene connectome (HGC) as a unique approach for human mendelia
154                 Using a mesoscale structural connectome (i.e., an anterograde tracer mapping of axona
155     Finally, we discuss future directions in connectome imaging and its interaction with other aspect
156 have already been successful applications of connectome imaging techniques in reconstructing challeng
157                     With the fast advance of connectome imaging techniques, we have the opportunity o
158 STATEMENT The architecture of the functional connectome in focal dystonia was analyzed in a large pop
159 pioid receptor gene (Oprm1) alters the brain connectome in living mice.
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  topological configuration of the functional connectome in the frequency interval of 0.016-0.031 Hz,
164 entists who endeavor to map these whole-body connectomes in large animals.
165 y a significant role in shaping the cortical connectome, in addition to the basic cost-efficiency tra
166 tional relationships across the entire brain connectome, in resting state functional magnetic resonan
167                           Brain networks or 'connectomes' include a minority of highly connected hub
168 xamines glial interactions with the neuronal connectome (including long-range networks, local circuit
169                                  The primate connectome indeed displays a cost-efficiency trade-off a
170 ions, and rewired connections in the current connectome, indicating the potential applicability of th
171  present SYNseq, a method for converting the connectome into a form that can exploit the speed and lo
172   Last, we generalise the topology of neural connectomes into a new hierarchical network model that s
173                               We conducted a connectome investigation at the mesoscale-level using th
174 gnized as a network disorder, a longitudinal connectome investigation may shed new light on the under
175 that multivariate predictive analysis of the connectome is a useful complement to multivariate lesion
176          Understanding the rat neurochemical connectome is fundamental for exploring neuronal informa
177 ative rich club of neurons in the C. elegans connectome is justified by the adaptive value of coordin
178                            The primate brain connectome is shaped by metabolic economy as well as fun
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  using a combined voxel-based-and structural connectome-lesion symptom mapping approach, since cortic
182 ar recording, dissecting cancer biology, and connectome mapping.
183 with postmortem analysis of human brains and connectome-mapping studies.
184 astability was associated with damage to the connectome, measured using diffusion MRI.
185 e analyzed lesion maps as well as structural connectome measures of whole-brain neural network integr
186              High-participation hubs of this connectome mediated communication between functionally s
187           Analysis of variance of structural connectome metrics and florbetapir SUVr across diagnosti
188 sociated with changes in weighted structural connectome metrics, with decreases from the NC group to
189 the effect of florbetapir SUVr on structural connectome metrics.
190 ciated with decreases in weighted structural connectome metrics; namely, strength (P = .00001), weigh
191                                              Connectome modelling with 43 network parameters failed t
192 wiring-cost constraints inadequately explain connectome module organization, and that simultaneous mo
193 n influential current theory postulates that connectome modules are adequately explained by evolution
194 in (TSP)] reflects attributes of their "pain connectome," namely stronger ascending nociceptive and w
195 ectural features of the cortical association connectome, network analysis was performed on >16,000 re
196 he framework integrates the relation between connectome nodes, edges, white matter fascicles and diff
197              The individual structural brain connectome of 170 patients with PD (54 with MCI, 116 wit
198             Here we reconstruct the neuronal connectome of a four-eye visual circuit in the larva of
199 uired to produce the first detailed cortical connectome of a primate brain.
200                              Identifying the connectome of adult-generated neurons is essential for u
201 ping to analyze the synaptic and peptidergic connectome of an entire neurosecretory center.
202  the electrical stimulation on a stereotypic connectome of converging white matter bundles (forceps m
203 ad box P3 prominently placed in a regulatory connectome of genes related to cellular immunity and fib
204 -based reconstruction to generate the entire connectome of hugin-producing neurons in the Drosophila
205 ne is a key neuromodulator of the functional connectome of speech control.
206 al is the characterization of the functional connectome of the brain under normal and pathological co
207 we consider a neural network inspired by the connectome of the C. elegans soil worm, organized into s
208             We reconstructed a comprehensive connectome of the circuits of Drosophila's motion-sensin
209 g serial-section EM we document the synaptic connectome of the larva's 177 CNS neurons.
210 s gap by applying a control framework to the connectome of the nematode Caenorhabditis elegans, allow
211 sed graph theory to investigate the neuronal connectome of the nematode worm Caenorhabditis elegans,
212  into a multiscale, multilayer neurochemical connectome of the rat brain.
213 signed neurons to cell types and assembled a connectome of the repeating module of the medulla.
214         Previously, we reported the neuronal connectome of the visual eye circuit from the head of a
215 a of the same age, for which we describe the connectome of the visual eyes and the larval eyespots.
216 demonstrated that high resolution structural connectomes of around 50,000 nodes can be generated repr
217                                Comparing the connectomes of C. elegans, cats, macaques and humans to
218 number of structural features with mesoscale connectomes of mouse and macaque.
219                          A comparison of the connectomes of the Caenorhabditis elegans hermaphrodite
220 this question by forming an ultrastructural "connectome" of the mouse's visual thalamus that depicts
221  disorders of neural interactions within the connectome, or developmental miswiring.
222 ionary relationships, is key to interpreting connectome organization and can address fundamental circ
223                          This study examines connectome organization in children at familial high ris
224 ly to be located in hubs of the normal brain connectome (P < 10(-4), permutation test).
225                                  The primate connectome, possessing a characteristic global topology
226 dal magnetic resonance images from the Human Connectome Project (HCP) and an objective semi-automated
227             The ongoing release of the Human Connectome Project (HCP) data is a watershed event in cl
228 gs in an extended twin sample from the Human Connectome Project (HCP).
229 recent advances, particularly from the Human Connectome Project (HCP).
230 esting-state connectome data sets (the Human Connectome Project [HCP] and the 1,000 functional connec
231 ge multisession fMRI datasets from the Human Connectome Project and apply novel graph-theoretical tec
232 rom 10 adult healthy controls from the Human Connectome Project database were used.
233 bust and reliable, using data from the Human Connectome Project to demonstrate that functional connec
234 maging (fMRI) on 820 subjects from the Human Connectome Project, and magnetoencephalographic (MEG) re
235 ting-state fMRI data obtained from the Human Connectome Project, we mapped time-resolved functional c
236 -35 years old) enrolled in the ongoing Human Connectome Project, with 262 participants reporting cann
237  healthy participants derived from the Human Connectome Project.
238 plicated in two adult cohorts from the Human Connectome Project.
239 -imaging data from 461 subjects in the Human Connectome Project.
240 lution diffusion imaging data from the Human Connectome Project.
241  now being used in connectomics, at the Open Connectome Project.
242 in a large-scale fMRI dataset from the Human Connectome Project.
243  using diffusion imaging data from the Human Connectome Project.
244 (N = 359, 22-36 years, 174 men) of the Human Connectome Project.
245 usion and functional MRI data from the Human Connectome Project.
246 -shell acquisition schemes used in the Human Connectome Project.
247 ide have initiated several large-scale brain connectome projects, to further understand how the brain
248                         Thus, the anatomical connectome provides a minimal structure and the neuromod
249                   These processes act on the connectome, providing context by integrating external an
250               Analysis of the rabbit retinal connectome RC1 reveals that the division between the ON
251                         Using rabbit retinal connectome RC1, we show that all cone bipolar cell (BC)
252 ndard vertebrate and invertebrate interareal-connectome reconstructions.
253  brain has been shaped by evolution, and its connectome reflects that history.
254                                      If "the connectome" represents a complete map of anatomical and
255               We measured large increases in connectome resolution as function of data spatial resolu
256 ctural (white matter) network connectivity ("connectome") revealed increased global integration withi
257 en analyses defined a hierarchically ordered connectome, revealing a related continuum of cognitive f
258                            Our comprehensive connectome reveals complex circuits that include candida
259                                          The connectome reveals that the PNS input arises from scatte
260  is affected in at-risk youths, reflecting a connectome signature of familial risk for psychotic illn
261                                 In parallel, connectome studies have suggested that also the macrosca
262 the reconstruction of anatomical pathways in connectome studies.
263 int for compiling a mammalian nervous system connectome that could ultimately reveal novel correlatio
264 s enriched by immunity genes and a molecular connectome that links different pathogenic features of B
265 c ensemble tractography approach can produce connectomes that are superior to standard single paramet
266  Furthermore, the ensemble approach produces connectomes that contain both short- and long-range fasc
267     The ensemble approach leads to optimized connectomes that provide better cross-validated predicti
268                   A new study has mapped the connectome - the shapes and connections of all the neuro
269 gular exception of the C. elegans microscale connectome, there are no complete connectivity data sets
270 and anatomical computing by evaluating 1,490 connectomes, thirteen tractography methods, and three da
271 picious is the ability to study the evolving connectome throughout life, beginning in utero, which pr
272 lly linked to the Ising model defined on the connectome, thus yielding modularity result that maximiz
273 e restricted the mapping of human and mouse 'connectomes' to the level of brain regions, a finer degr
274 evidence that supports the properties of the connectome, to compare tractography algorithms and to te
275 tome graphs were created from DT images, and connectome topology was analyzed in each region by using
276 inal three-dimensional data set suitable for connectome tracing.
277  producing data sets optimized for automatic connectome tracing.
278 we generated a Toll-like receptor 3-specific connectome useful for the genetic dissection of inborn e
279 e training-induced changes in the structural connectome using a well-controlled design to examine cog
280      In this work, we modeled the structural connectome using diffusion tensor imaging in a sample of
281  implemented on an anatomical brain network (connectome), we investigate the similarity between an in
282 naptic (or wireless) and synaptic (or wired) connectomes, we find highly significant multilink motifs
283 nodes in the normal diffusion tensor imaging connectome were generally replicated when hubs were defi
284           Individual graph models ("vascular connectomes") were computed on the basis of time series
285                                              Connectome white matter organization measured through mo
286 re, we outline a novel concept of functional connectome-wide alterations that are linked to dystonia
287 rol subjects, N=53), the authors conducted a connectome-wide analysis examining the relationship betw
288                                         This connectome-wide analysis identified foci of dysconnectiv
289                                              Connectome-wide analysis indicated that only a small sub
290  and computational and analytic needs of the connectome-wide association era necessitate cultural ref
291  between genome-wide association studies and connectome-wide association studies, leading to new insi
292                  We conducted a multivariate connectome-wide association study examining dysconnectiv
293 s at millions of locations in the brain, and connectome-wide, genome-wide scans can jointly screen br
294                                              Connectome-wide, genome-wide screening offers substantia
295 rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringen
296                                    The human connectome will provide a detailed mapping of the brain'
297  of the human cortex with data on macroscale connectome wiring as derived from high-resolution diffus
298  97% precision and recall in binary cortical connectomes with no user interaction.
299 dentify flow profiles for the neurons in the connectome, without pre-imposing a priori categories.
300 f the structure and function of the neuronal connectome would be incomplete without an understanding

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