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1 e for awake brain surgery and intraoperative brain mapping.
2 rfaces were generated using high-dimensional brain mapping.
3 is developed as a platform for naturalistic brain mapping.
4 een an enormous growth in the field of human brain mapping.
5 nderwent digital electroencephalography with brain mapping.
6 tic reviews, and improved methods for causal brain mapping.
7 e history of exclusionary practices in human brain mapping.
8 ed on sample sizes appropriate for classical brain mapping(4) (the median neuroimaging study sample s
10 ional MRI data were compared using automated brain mapping algorithms and search regions related to A
11 ional MRI data were compared using automated brain mapping algorithms and search regions related to A
13 ble studies have not used recently developed brain mapping algorithms to characterize the progression
16 , and nucleus accumbens shell measured using brain mapping analyses of immediate-early gene expressio
20 ions on behalf of the Organization for Human Brain Mapping and identify barriers that impede these pr
24 lycosylation, which could be developed in to brain mapping applications, but also serves as a potenti
27 g an individualized-brain-systems-functional-brain-mapping approach, functional networks were mapped
28 ography (EEG) is one of the most widely used brain mapping approaches, primarily because it is non-in
32 oral resolution of a few seconds, allows for brain mapping based on more transient aspects of the hem
33 scans in patients who underwent presurgical brain mapping between 2012 and 2016 were analyzed, using
35 c resonance imaging at the Ahmanson-Lovelace Brain Mapping Center, University of California, Los Ange
36 t span subdisciplines from behavior to whole-brain mapping, circuits, neurons, and gene variants.
39 electrophysiologic monitoring, thus allowing brain mapping during awake craniotomy and microelectrode
40 it is typically excluded from in vivo human brain mapping efforts, precluding a complete understandi
42 Here we describe and validate an automated brain-mapping framework that uses text-mining, meta-anal
43 To capture this, we implemented precision brain mapping functional magnetic resonance imaging meth
47 asive imaging methods available for auditory brain mapping in mice, despite the increasing use of gen
48 asize the potential of probabilistic outcome brain mapping in refining the optimal therapeutic volume
50 al variability may provide a new approach to brain mapping in the context of cognitive experiments.
55 roencephalography (TMS-EEG) is a noninvasive brain mapping methodology that can assess the functions
58 ainbow-labeled tissue, and multiplexed whole-brain mapping of axonal projections labeled with spectra
64 or imaging (DTI) enables comprehensive whole-brain mapping of the white matter tracts that link regio
65 lved in torpor regulation by combining whole-brain mapping of torpor-activated neurons, cell-type-spe
71 the neuronal activity marker Fos with intact-brain mapping procedures to identify corresponding patte
73 he data analysis and visualization for large brain mapping projects, our atlas promises to be a versa
77 ation is a key tool in neuroscience, both in brain mapping studies and in many therapeutic applicatio
78 uronal activity, which is subtracted away in brain mapping studies by positron emission tomography (P
82 the evidence provided by these approaches in brain-mapping studies, as well as the perspectives they
85 egorical speech perception using an advanced brain-mapping technique, whole-brain multivariate patter
86 For these reasons, more refined structural brain mapping techniques may improve the accuracy of det
88 esonance imaging (MRI) and new computational brain-mapping techniques, we determined the pattern of s
89 These studies have enabled probabilistic brain mapping that is based on the ex vivo MRI contrast,
94 ctivation and as a tool for human functional brain mapping, we recorded subdural electrocorticographi
95 its utility for high-resolution (100-microm) brain mapping, we used MEMRI to show the tonotopic organ
96 a general and economic modular mechanism for brain mapping whereby a projecting field is mapped onto
98 Using a novel approach combining atlas-based brain mapping with deep-learning algorithms on large-sca
99 be directly relevant to questions concerning brain mapping with functional magnetic resonance imaging
100 ntegrate state-of-the-art dynamic functional brain mapping with measures of three inflammatory marker