Inter-individual differences in human brain structure and morphology link to variation in demographics and behavior
暂无分享,去创建一个
Christian F Beckmann | Thomas Wolfers | Alberto Llera | C. Beckmann | P. Mulders | T. Wolfers | A. Llera | Peter Mulders
[1] Mark W. Woolrich,et al. Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.
[2] Stephen M Smith,et al. The relationship between spatial configuration and functional connectivity of brain regions , 2017, bioRxiv.
[3] Mark W. Woolrich,et al. FSL , 2012, NeuroImage.
[4] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[5] B. Franke,et al. Integrated analysis of gray and white matter alterations in attention-deficit/hyperactivity disorder , 2016, NeuroImage: Clinical.
[6] Steen Moeller,et al. The Human Connectome Project: A data acquisition perspective , 2012, NeuroImage.
[7] Karl J. Friston,et al. Voxel-Based Morphometry—The Methods , 2000, NeuroImage.
[8] Thomas E. Nichols,et al. Rank-order versus mean based statistics for neuroimaging , 2007, NeuroImage.
[9] M. Farah,et al. Progress and challenges in probing the human brain , 2015, Nature.
[10] D. Simpson,et al. PHRENOLOGY AND THE NEUROSCIENCES: CONTRIBUTIONS OF F. J. GALL AND J. G. SPURZHEIM , 2005, ANZ journal of surgery.
[11] Katrin Amunts,et al. Cortical Folding Patterns and Predicting Cytoarchitecture , 2007, Cerebral cortex.
[12] Mark W. Woolrich,et al. Benefits of multi-modal fusion analysis on a large-scale dataset: Life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure , 2012, NeuroImage.
[13] L. Shah,et al. Functional magnetic resonance imaging. , 2010, Seminars in roentgenology.
[14] Stephen M. Smith,et al. Multi-level block permutation , 2015, NeuroImage.
[15] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[16] Karl J. Friston,et al. Classical and Bayesian Inference in Neuroimaging: Applications , 2002, NeuroImage.
[17] A. L. Arenas,et al. Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD , 2017, Journal of psychiatry & neuroscience : JPN.
[18] J. Fodor. The Modularity of mind. An essay on faculty psychology , 1986 .
[19] T. Paus,et al. Studying neuroanatomy using MRI , 2017, Nature Neuroscience.
[20] R. Collins. What makes UK Biobank special? , 2012, The Lancet.
[21] Stephen M. Smith,et al. Permutation inference for the general linear model , 2014, NeuroImage.
[22] Michael W. Spratling,et al. Encyclopedia of Computational Neuroscience , 2013 .
[23] G. Humphreys,et al. Differential effects of word length and visual contrast in the fusiform and lingual gyri during , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[24] Christian Gaser,et al. Brain structure in schizophrenia vs. psychotic bipolar I disorder: A VBM study , 2015, Schizophrenia Research.
[25] John Ashburner,et al. A fast diffeomorphic image registration algorithm , 2007, NeuroImage.
[26] Daniel Rueckert,et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.
[27] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[28] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[29] Margot J. Taylor,et al. The centre of the brain: Topographical model of motor, cognitive, affective, and somatosensory functions of the basal ganglia , 2013, Human brain mapping.
[30] Mark W. Woolrich,et al. Linked independent component analysis for multimodal data fusion , 2011, NeuroImage.
[31] David C. Van Essen,et al. Human Connectome Project , 2014, Encyclopedia of Computational Neuroscience.
[32] M. Chun,et al. Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.
[33] P. Matthews,et al. A common brain network links development, aging, and vulnerability to disease , 2014, Proceedings of the National Academy of Sciences.
[34] Stephen M. Smith,et al. Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.
[35] O. Andreassen,et al. Dissociable diffusion MRI patterns of white matter microstructure and connectivity in Alzheimer’s disease spectrum , 2017, Scientific Reports.
[36] Stephen J. Roberts,et al. Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis , 2004, Deterministic and Statistical Methods in Machine Learning.
[37] Ninon Burgos,et al. New advances in the Clinica software platform for clinical neuroimaging studies , 2019 .
[38] Thomas E. Nichols,et al. A positive-negative mode of population covariation links brain connectivity, demographics and behavior , 2015, Nature Neuroscience.
[39] Aapo Hyvärinen,et al. Pairwise likelihood ratios for estimation of non-Gaussian structural equation models , 2013, J. Mach. Learn. Res..
[40] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[41] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.