Brain templates and atlases

By Alan C. Evans, Andrew L. Janke, D. Louis Collins, Sylvain Baillet. NeuroImage, 2012

642 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/aa5aefd4ae78f13990e9b9b058dc4bed955aaa74

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Behavior, Sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation (2016, neutral): “…meta-analyses, i.e., studies integrating previous neuroimaging findings on a particular type of mental process or task, there is a growing interest in using meta-analytic methods for the assessment of task-based interaction patterns (Eickhoff et al., 2010; Fox et al., 2014; Laird et al., 2013).”
Networks of anatomical covariance (2013, background): “Some groups extract these measures for unscaled “native” images while others use stereotaxic images, i.e. after spatial normalization of all brain volumes to a common template (Evans et al., 2012).”
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020, neutral): “The segmentation task and data analysis are very often guided in most of the neuroimaging experiments by atlases that provide standardized, or stereotaxic, 3D coordinate systems for statistical data analysis and report of ﬁndings [305] .”
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture (2016, neutral): “human brain given that macroanatomical landmarks or coordinate systems are not valid indicators of regional specialization (Brett et al. 2002; Bohland et al. 2009; Evans et al. 2012).”
neuromaps: structural and functional interpretation of brain maps (2022, methodology): “The fsaverage system is roughly aligned to the space of the MNI-305 volumetric system, which was the precursor of the MNI-152 template 72,73 .”
Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance (2015, positive): “The T1-weighted volumes are rigidly registered to the Montreal Neurological Institute MNI305 brain average (Evans et al., 2012, 1993).”
A hitchhiker's guide to diffusion tensor imaging (2012, background): “One of the big issues in group studies is that to compare a condition among a group, the individual images need to be normalized to a standard space (Evans et al., 2012).”