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1 enome-wide expression digital library (Allen Brain Atlas).
2 cally decomposed using coregistration with a brain atlas.
3 expression maps derived from the Allen Human Brain Atlas.
4 e outcomes of research using the Allen Human Brain Atlas.
5 nto time-series signals using a standardized brain atlas.
6 y, across the 426 regions of the Allen Mouse Brain Atlas.
7 ial genomic associates using the Allen Human Brain Atlas.
8  based on regions defined in the Allen Mouse Brain Atlas.
9 ture studies to create a cardiac sympathetic-brain atlas.
10 nd MAPT gene expression from the Allen Human Brain Atlas.
11  Paxinos and Watson's (2007) stereotaxic rat brain atlas.
12 as gene expression maps from the Allen Human Brain Atlas.
13 te for the Developing Brain (MIDB) Precision Brain Atlas.
14 xpression patterns were analyzed using Allen Brain Atlas.
15  profiles were obtained from the Allen Human Brain Atlas.
16 ing transcriptomic data from the Allen Human Brain Atlas.
17 sed our data by comparing to the Allen Mouse Brain Atlas.
18 and lesion locations were mapped to a common brain atlas.
19 s signify a key step towards a unified mouse brain atlas.
20 erature, and lesions were mapped to a common brain atlas.
21 terations in mutants, and to map them onto a brain atlas.
22 n transcriptome by using data from the Allen Brain Atlas.
23 and lesion locations were mapped to a common brain atlas.
24 ased on a scale-invariant, interactive mouse brain atlas.
25 ure search (n = 41) and mapped onto a common brain atlas.
26 mouse protein genes is provided in the Allen Brain Atlas.
27 o a standard Montreal Neurological Institute brain atlas.
28 e is available as the Allen Developing Mouse Brain Atlas.
29 e regions agreed well with the Paxinos mouse brain atlas.
30 e and those reported in a standardized mouse brain atlas.
31 ion channels in the DR using the Allen Mouse Brain Atlas.
32 m 20 to 60 min were analyzed using a digital brain atlas.
33 of 3702 human brain samples from Allen Human Brain Atlas.
34 EEG frequency bands according to a Talairach brain atlas.
35 c variation than traditional neuroanatomical brain atlases.
36 spans by leveraging personalized priors from brain atlases.
37 n of multidimensional datasets registered to brain atlases.
38 ubcortical regions of established functional brain atlases.
39 nnectivity measures derived from group-level brain atlases.
40  results and multiple widely used functional brain atlases.
41 s can be mapped to existing gene and protein brain atlases.
42 rity network are highly correlated for major brain atlases.
43 ible future directions in the development of brain atlases.
44 information sourced from two published human brain atlases.
45  large ISH image databases such as the Allen Brain Atlas 1 and the Max-Planck Institute 2 using our m
46         Herein, we present a spatio-temporal brain atlas (15 different regions) of microRNA expressio
47 based (ISH) expression patterns in the Allen Brain Atlas, a genome-wide survey of 21,000 expression p
48 mation of the VMI network to the Allen Human Brain Atlas, a whole-brain transcriptome-wide atlas of c
49 ation data from the adult mouse brain (Allen Brain Atlas (ABA)) and a similar dataset collected using
50 urce of spatial expression data is the Allen Brain Atlas (ABA), a comprehensive genome-wide in situ h
51 ion data for thousands of genes in the Allen Brain Atlas (ABA).
52 mapping into a multifaceted larval zebrafish brain atlas accelerates the characterization of neurons
53 pmental stages in the Allen Developing Mouse Brain Atlas (ADMBA) led to more comprehensive and accura
54 th gene expression data from the Allen Human Brain Atlas (AHBA) to investigate the biological process
55  neurotypical individuals in the Allen Human Brain Atlas (AHBA), including RNA microarray data.
56 ne expression as measured by the Allen Human Brain Atlas (AHBA).
57 eb application that comprise the Allen Human Brain Atlas, an open online resource that integrates gen
58 en gene expression data from the Allen Human Brain Atlas and accelerated thinning estimates across co
59                        Using the Allen Human Brain Atlas and expression-weighted cell-type enrichment
60 oss the atlas with data from the Allen Human Brain atlas and identified receptor- and transporter-spe
61 available resources, such as the Allen Mouse Brain Atlas and microarray data sets, by providing quant
62 ing unsupervised learning to the Allen Human Brain Atlas and Neurosynth databases, we identify a vent
63 al to adulthood stages using the Allen Human Brain Atlas and PsychENCODE BrainSpan; and (iii) macrosc
64 e using microarray data from the Allen Human Brain Atlas and single-nucleus RNA-sequencing data from
65            Lesion locations were mapped to a brain atlas and the brain network functionally connected
66 uce unparalleled advances, such as the Allen Brain Atlas and the Human Genome Project.
67 ing relevant anatomic volumes from the mouse brain atlas and ultrastructurally established interactio
68  ISH data for over 16,000 genes in the Allen Brain Atlas and validate our analysis with RNA sequencin
69                                              Brain atlases and associated databases have great potent
70               Three-dimensional (3D) digital brain atlases and high-throughput brain-wide imaging tec
71 S allows users to scroll through the digital brain atlases and provides custom-angle slice cuts throu
72 cro-CT scanning we standardized sex-specific brain atlases and tested for sexual dimorphism in the br
73  whole-brain genetic expression (Allen Human Brain Atlas) and the co-localization patterns yielded th
74 tlined by coregistration with a standard rat brain atlas, and percentage injected dose/cm(3) and bind
75 ns and annotations from the 3D digital mouse brain atlas, and superimposing this information onto the
76 sk genes were extracted from the Allen Human Brain Atlas, and their average profile across the cortex
77 medius in the Karten and Hodos (1967) pigeon brain atlas, and what was identified as the hypoglossal
78 tomical localization of microbleeds based on brain atlases, and greatly reduces time spent completing
79 gene expression profile from the Allen Human Brain Atlas are used to generate functional/genetic info
80                                              Brain atlases are a fundamental resource for neuroscienc
81                       In human neuroimaging, brain atlases are essential for segmenting regions of in
82                                           3D brain atlases are key resources to understand the brain'
83 hese results suggest the population-specific brain atlases are more appropriate towards reproducible
84                                              Brain atlases are spatial references for integrating, pr
85 equently, our data may allow using the Allen Brain Atlas as a source of basal information, which shou
86 in mouse brain tissue, using the Allen Mouse Brain Atlas as the curated anatomical data source that i
87 s of cortical areas and nuclei of the Julich-Brain Atlas, available at EBRAINS, to study structure-fu
88 ed three-dimensional digital adult zebrafish brain atlas (AZBA).
89  into genetic subdivisions, creating a human brain atlas based solely on genetically informative data
90 the motor trigeminal nucleus (5TT) in rodent brain atlases, because it was thought to be a subset of
91 ed their distribution within the Allen Mouse Brain Atlas Common Coordinate Framework.
92                        The resulting average brain atlas consists of 3D reconstructions of 25 separat
93                                     The Yale Brain Atlas consists of 690 one-square centimeter parcel
94                                  Using a pig brain atlas, damaged brain structures included the insul
95  resources can be accessed through the Allen Brain Atlas data portal.
96 earches enable users to query multiple Allen Brain Atlas data sets simultaneously.
97 xtensive data search of the Allen Projection Brain Atlas database was conducted to find the stated pr
98 nal and sagittal images from the Allen Mouse Brain Atlas database.
99 nd their expression patterns in a searchable brain atlas database.
100                     Here we present a canine brain atlas derived as the diffeomorphic average of a po
101  review the resources available at the Allen Brain Atlas, describing each product and data type [such
102  postmortem brain microarray data from Allen Brain Atlas (donors n = 6) from 22 brain regions to inve
103                      To this end, volumetric brain atlases enable histological datasets to be spatial
104                                              Brain atlases enable the mapping of labeled cells and pr
105                    Coregistration to a mouse brain atlas enabled a regional comparison of MRI paramet
106 ng frontiers for network neuroscience in the brain atlas era, addressing the challenges and opportuni
107 ated analysis of single-cell and Allen Human Brain Atlas expression data reveal somatostatin interneu
108                                 Furthermore, brain atlases extend analysis of functional magnetic res
109                        Although standardized brain atlases facilitate spatial normalization and voxel
110 ZEBrA is a first of its kind gene expression brain atlas for a bird species and a first for any sauro
111                  We used data from the Allen Brain Atlas for replication.
112 tial gene expression patterns from the Allen Brain Atlas for the adult mouse with panels of cell type
113               We generated a high-resolution brain atlas for the blind Mexican cavefish Astyanax mexi
114                                   We build a brain atlas for the fluorescence micro-optical sectionin
115 uction of automatically labeled age-specific brain atlases for neonates and the developing brain.
116      Compared to conventional (non-genetics) brain atlases, GIANT exhibits smaller intra-region varia
117 ouse brain section with the 3D digital mouse brain atlas in a minute and accurate delineation of the
118                                    The Allen Brain Atlas in particular has utilized this technology t
119 sed a data set of 2,872 genes from the Allen Brain Atlas in the experiments.
120 s on the brain, we used genetically informed brain atlases in genome-wide association studies of regi
121 iscuss the methods involved in making an MRI brain atlas, including registration of multiple data set
122  the transformation of the PET-derived human brain atlas into a protein density map of the serotonin
123                              The Allen Human Brain Atlas is a freely available multimodal atlas of ge
124 ex, as demonstrated using a population-based brain atlas method, with a trend toward association with
125 in adults (N = 107) and in an in utero fetal brain atlas (N = 81 healthy fetuses).
126 atially resolved single-cell transcriptomics brain atlas of 4.2 million cells from 20 distinct ages a
127 - and magnetic resonance imaging-based human brain atlas of important serotonin receptors and the tra
128 ol, but we find an annotation in Allen Human Brain Atlas of increased UTS2B expression within portion
129                           Leveraging a human brain atlas of post-mortem gene expression, we found tha
130 fining the posterior border according to the brain atlas of Talairach and Tournoux and by applying st
131 ence atlas, (book + CD-ROM): A digital color brain atlas of the C57BL/6J male mouse, 2007).
132      There is a need for an improved digital brain atlas of the spatiotemporal maturation of the feta
133 For both humans and macaque monkeys, digital brain atlases of many varieties are in widespread use, e
134                                              Brain atlases play an important role in effectively comm
135                                              Brain atlases play an increasingly important role in neu
136  for cannabinoid signaling (from Allen Human Brain Atlas postmortem tissue) were associated with spat
137 transcriptomic datasets like the Allen Human Brain Atlas provide an unprecedented ability to examine
138                                              Brain atlases provide data-guided parcellation based on
139                                    The Allen Brain Atlas provides a unique online public resource int
140                   The Allen Developing Mouse Brain Atlas provides high-resolution 3-D in situ hybridi
141                              Our single-cell brain atlas provides insights into the molecular archite
142                                        Allen Brain Atlas regional transcriptional profiles of 67 Park
143                             All of the Allen Brain Atlas resources can be accessed through the Allen
144          Neuroanatomical data from the Allen Brain Atlas reveal several modules with spatial colocali
145 udy, optimized processing of the Allen Human Brain Atlas revealed two new components of cortical gene
146  all 20,737 genes present in the Allen Human Brain Atlas showed the set of top 100 strongest correlat
147 y converted to Montreal Neurologic Institute brain atlas space using an internally developed PET targ
148 to latticed cubic boxes within the reference brain atlas, summarized a morphometric representation ('
149                         However, an unbiased brain atlas targeting these individuals does not exist.
150 nd 2) provide a single-cell resolution whole-brain atlas that can be used to identify functional netw
151              In summary, GIANT constitutes a brain atlas that captures the complexity of genetic and
152  with a three-dimensional (3D) digital mouse brain atlas that is essentially based on the third versi
153 t athletes, we developed population-specific brain atlases that include templates (T1-weighted and di
154 s to develop the GIANT (Genetically Informed brAiN aTlas) that accounts for genetic and neuroanatomic
155             However, the two most-used mouse brain atlases, the Franklin-Paxinos (FP) and the common
156  Sprague Dawley Rat Brain or the Allen Mouse Brain Atlas, though HERBS can work with compatible volum
157        General pattern matching of a digital brain atlas to an individual MR image is a mathematicall
158            Here, we leverage the Allen Human Brain Atlas to characterize the spatially distributed ge
159 used mouse tract tracing data from the Allen Brain Atlas to confirm the network's underlying structur
160  Individual MR images were coregistered to a brain atlas to define regions of interest for generating
161  combine SABER-seq with an expanded juvenile brain atlas to identify cell types derived from Notch-ac
162           We present the first digital human brain atlas to incorporate neuroimaging, high-resolution
163 ss this possibility, we used data from Allen Brain Atlas to investigate variability in gene expressio
164 ling by simultaneously warping a pre-labeled brain atlas to the longitudinal brain images.
165 ged transcriptomic data from the Allen Human Brain Atlas to uncover potential biological and cellular
166 of human connectivity research is the use of brain atlases to compare findings across individuals and
167                    We map tissue-scale mouse brain atlases to gene-based and cell-based transcriptomi
168 ratory investigations, but they must rely on brain atlases to neuroanatomical structures.
169                            Linking different brain atlases to one another and to online databases con
170              We generated a dwarf cuttlefish brain atlas using magnetic resonance imaging (MRI), deep
171 al regions and ontology from the Allen Mouse Brain Atlas using spatial neighborhoods.
172                       We generated normative brain atlases, using subdural EEG signals from 8251 none
173 ed genes whose expression in the Allen Human Brain Atlas was associated with anatomical patterns of s
174                                    So far, a brain atlas was available only for the naked mole-rat (H
175                        A digital human fetal brain atlas was developed using previously obtained MRI
176        The in situ hybridization Allen Mouse Brain Atlas was mined for proteases expressed in the som
177 n decoding analysis based on the Allen Human Brain Atlas was performed to link neuroanatomical differ
178 rencing a bicommissural stereotactic macaque brain atlas, we created a PET brain template using coreg
179 situ hybridization data from the Allen Human Brain Atlas, we demonstrate that the human subiculum als
180                              Using the Allen Brain Atlas, we evaluated 159 regions of adult mouse bra
181 D common coordinate framework from the Allen Brain Atlas, we highlight how STalign can be used to lif
182 t-mortem gene expression data from the Allen Brain Atlas, we investigated the impact of transcription
183 e-cell resolution, necessitating a reference brain atlas with spatial localization capability at the
184                  Integrating neurobiological brain atlases with normative modeling and population neu

 
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