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1 brain, we have built a gene expression-based brain map.
2 ptom axes mapped onto distinct, reproducible brain maps.
3 zation will give rise to a new generation of brain maps.
4 for diffusion MRI and volumetric HD-specific brain maps.
5 ning stands in marked distinction from other brain maps.
6 as a model for the formation of topographic brain maps.
7 is developed as a platform for naturalistic brain mapping.
8 tic reviews, and improved methods for causal brain mapping.
9 e history of exclusionary practices in human brain mapping.
10 e for awake brain surgery and intraoperative brain mapping.
11 rfaces were generated using high-dimensional brain mapping.
12 een an enormous growth in the field of human brain mapping.
13 nderwent digital electroencephalography with brain mapping.
14 angement in corresponding reference atlases: Brain Maps 4.0 (BM4, rat) (Swanson, The Journal of Compa
15 ed on sample sizes appropriate for classical brain mapping(4) (the median neuroimaging study sample s
17 ional MRI data were compared using automated brain mapping algorithms and search regions related to A
18 ional MRI data were compared using automated brain mapping algorithms and search regions related to A
20 ble studies have not used recently developed brain mapping algorithms to characterize the progression
23 , and nucleus accumbens shell measured using brain mapping analyses of immediate-early gene expressio
27 ions on behalf of the Organization for Human Brain Mapping and identify barriers that impede these pr
32 lycosylation, which could be developed in to brain mapping applications, but also serves as a potenti
35 g an individualized-brain-systems-functional-brain-mapping approach, functional networks were mapped
36 ography (EEG) is one of the most widely used brain mapping approaches, primarily because it is non-in
39 t task-evoked activations across over 10,000 brain maps are not confined to focal areas, as widely be
42 oral resolution of a few seconds, allows for brain mapping based on more transient aspects of the hem
43 scans in patients who underwent presurgical brain mapping between 2012 and 2016 were analyzed, using
44 y evolutionary stage where multiplication of brain maps can satisfy the demand on processing a wider
45 o the prelimbic area 32 in Brodmann's monkey brain map, caudal and ventral to the genu of the corpus
47 c resonance imaging at the Ahmanson-Lovelace Brain Mapping Center, University of California, Los Ange
48 t span subdisciplines from behavior to whole-brain mapping, circuits, neurons, and gene variants.
51 ng initiatives increase the accessibility of brain maps, data are often shared in disparate coordinat
52 electrophysiologic monitoring, thus allowing brain mapping during awake craniotomy and microelectrode
53 it is typically excluded from in vivo human brain mapping efforts, precluding a complete understandi
54 g to microtubules was not enhanced by bovine brain MAPs enriched for tau protein or by the addition o
56 Here we describe and validate an automated brain-mapping framework that uses text-mining, meta-anal
57 To capture this, we implemented precision brain mapping functional magnetic resonance imaging meth
61 tential advantages of local heterogeneity in brain maps, how they reflect complex cortical connectivi
63 asive imaging methods available for auditory brain mapping in mice, despite the increasing use of gen
64 asize the potential of probabilistic outcome brain mapping in refining the optimal therapeutic volume
66 al variability may provide a new approach to brain mapping in the context of cognitive experiments.
68 sure (P < .001 by the statistical difference brain map) in the left dorsolateral prefrontal and bilat
75 roencephalography (TMS-EEG) is a noninvasive brain mapping methodology that can assess the functions
78 bust parcellation routine to provide a whole-brain map of functional networks in a group of seventy h
79 photon tomography, we have generated a whole-brain map of monosynaptic inputs to spinal V1 interneuro
80 ing, and used our method to generate a whole-brain map of three-dimensional single-neuron morphology
81 ainbow-labeled tissue, and multiplexed whole-brain mapping of axonal projections labeled with spectra
87 or imaging (DTI) enables comprehensive whole-brain mapping of the white matter tracts that link regio
88 lved in torpor regulation by combining whole-brain mapping of torpor-activated neurons, cell-type-spe
89 ental approaches have not yet produced whole-brain maps of a comprehensive set of neuronal and nonneu
91 We performed an MRI study in which whole-brain maps of rCBF were obtained using pseudo-continuous
98 the neuronal activity marker Fos with intact-brain mapping procedures to identify corresponding patte
100 he data analysis and visualization for large brain mapping projects, our atlas promises to be a versa
102 unctionality for standardizing and comparing brain maps, providing a systematic workflow for comprehe
108 ctrophysiological, anatomical and functional brain maps reveals networks of beta neural activity that
109 hypothesis require assumptions about how the brain maps sensory signals to reward predictions, yet th
110 rritories on the CT template-set, generating brain maps showing the voxelwise frequency of infarct by
111 ation is a key tool in neuroscience, both in brain mapping studies and in many therapeutic applicatio
112 uronal activity, which is subtracted away in brain mapping studies by positron emission tomography (P
116 the evidence provided by these approaches in brain-mapping studies, as well as the perspectives they
119 egorical speech perception using an advanced brain-mapping technique, whole-brain multivariate patter
120 For these reasons, more refined structural brain mapping techniques may improve the accuracy of det
122 esonance imaging (MRI) and new computational brain-mapping techniques, we determined the pattern of s
123 These studies have enabled probabilistic brain mapping that is based on the ex vivo MRI contrast,
124 ork provides the necessary tools to generate brain maps that integrate data from connectivity, neuron
125 a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain
129 up difference maps were related to published brain maps using autocorrelation-preserving permutation.
134 ctivation and as a tool for human functional brain mapping, we recorded subdural electrocorticographi
135 its utility for high-resolution (100-microm) brain mapping, we used MEMRI to show the tonotopic organ
138 of this meta-analysis, original statistical brain maps were obtained from the authors of 13 of these
139 diffusion MRI we extracted HD-specific whole brain maps where lower grey matter volume and higher gre
140 a general and economic modular mechanism for brain mapping whereby a projecting field is mapped onto
142 d species-specific fMRI signatures and whole-brain maps will guide future targeted studies investigat
143 Using a novel approach combining atlas-based brain mapping with deep-learning algorithms on large-sca
144 be directly relevant to questions concerning brain mapping with functional magnetic resonance imaging
145 ntegrate state-of-the-art dynamic functional brain mapping with measures of three inflammatory marker