In vivo delineation of subdivisions of the human amygdaloid complex in a high‐resolution group template
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[1] Dennis S. Charney,et al. Amygdala volume in depressed patients with bipolar disorder assessed using high resolution 3T MRI: The impact of medication , 2010, NeuroImage.
[2] Jarrod D. Hadfield,et al. MCMC methods for multi-response generalized linear mixed models , 2010 .
[3] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[4] M. Mallar Chakravarty,et al. Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: Towards a harmonized segmentation protocol , 2015, NeuroImage.
[5] G Lohmann,et al. Parcellation of the human amygdala using 7T structural MRI , 2009, NeuroImage.
[6] A. David,et al. The human amygdala: a systematic review and meta-analysis of volumetric magnetic resonance imaging , 2002, Brain Research Reviews.
[7] E. Lauterbach. The Amygdala: Neurobiological Aspects of Emotion, Memory, and Mental Dysfunction , 1993 .
[8] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[9] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[10] D. Louis Collins,et al. Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.
[11] Timothy E. J. Behrens,et al. Deep and Superficial Amygdala Nuclei Projections Revealed In Vivo by Probabilistic Tractography , 2011, The Journal of Neuroscience.
[12] Brian B. Avants,et al. The optimal template effect in hippocampus studies of diseased populations , 2010, NeuroImage.
[13] Bruce Fischl,et al. Connectivity-based segmentation of human amygdala nuclei using probabilistic tractography , 2011, NeuroImage.
[14] Angela D. Friederici,et al. Diffusion tensor imaging segments the human amygdala in vivo , 2010, NeuroImage.
[15] Ryan K. Jessup,et al. Differentiable contributions of human amygdalar subregions in the computations underlying reward and avoidance learning , 2011, The European journal of neuroscience.
[16] Allan R. Jones,et al. An anatomically comprehensive atlas of the adult human brain transcriptome , 2012, Nature.
[17] D. Amaral,et al. Organization of the intrinsic connections of the monkey amygdaloid complex: Projections originating in the lateral nucleus , 1998, The Journal of comparative neurology.
[18] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[19] Jakub Hort,et al. Volumetry of the human amygdala — An anatomical study , 2010, Psychiatry Research: Neuroimaging.
[20] Brian B. Avants,et al. Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies , 2007, MICCAI.
[21] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[22] Agustín González,et al. Evolution of the amygdaloid complex in vertebrates, with special reference to the anamnio‐amniotic transition , 2007, Journal of anatomy.
[23] N. Daw,et al. Differential roles of human striatum and amygdala in associative learning , 2011, Nature Neuroscience.
[24] Arno Klein,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.
[25] Robin M Heidemann,et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.
[26] Ahmad R. Hariri,et al. Beyond Genotype: Serotonin Transporter Epigenetic Modification Predicts Human Brain Function , 2014, Nature Neuroscience.
[27] Brian B. Avants,et al. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..
[28] Bruce Fischl,et al. Within-subject template estimation for unbiased longitudinal image analysis , 2012, NeuroImage.
[29] R. Adolphs,et al. Annals of the New York Academy of Sciences What Does the Amygdala Contribute to Social Cognition? , 2022 .
[30] Bradford C. Dickerson,et al. Intrinsic Amygdala–Cortical Functional Connectivity Predicts Social Network Size in Humans , 2012, The Journal of Neuroscience.
[31] S. Rauch,et al. Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder. , 2005, The American journal of psychiatry.
[32] Brian Avants,et al. Multivariate analysis of structural and diffusion imaging in traumatic brain injury. , 2008, Academic radiology.
[33] Daniel P. Huttenlocher,et al. Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[34] D. Louis Collins,et al. BEaST: Brain extraction based on nonlocal segmentation technique , 2012, NeuroImage.
[35] Simon B. Eickhoff,et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.
[36] Brian B. Avants,et al. Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI , 2014, NeuroImage.
[37] Lucía Prensa,et al. Stereological Analysis of Neuron, Glial and Endothelial Cell Numbers in the Human Amygdaloid Complex , 2012, PloS one.
[38] K. Amunts,et al. Cytoarchitectonic mapping of the human amygdala, hippocampal region and entorhinal cortex: intersubject variability and probability maps , 2005, Anatomy and Embryology.
[39] Jarrod Had. MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package , 2010 .
[40] Stephen M. Smith,et al. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.
[41] M. Mallar Chakravarty,et al. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates , 2014, NeuroImage.
[42] J Mazziotta,et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[43] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[44] Polina Golland,et al. Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI , 2009, Hippocampus.
[45] Simon B. Eickhoff,et al. Testing anatomically specified hypotheses in functional imaging using cytoarchitectonic maps , 2006, NeuroImage.
[46] J. Mazziotta,et al. Regional Spatial Normalization: Toward an Optimal Target , 2001, Journal of computer assisted tomography.
[47] Bradford C. Dickerson,et al. A reliable protocol for the manual segmentation of the human amygdala and its subregions using ultra-high resolution MRI , 2012, NeuroImage.
[48] A. McDonald. Cortical pathways to the mammalian amygdala , 1998, Progress in Neurobiology.