Motion and morphometry in clinical and nonclinical populations
暂无分享,去创建一个
[1] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[2] Graeme D. Jackson,et al. Multi-site voxel-based morphometry: Methods and a feasibility demonstration with childhood absence epilepsy , 2008, NeuroImage.
[3] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[4] B A Ardekani,et al. Corpus Callosum Area and Brain Volume in Autism Spectrum Disorder: Quantitative Analysis of Structural MRI from the ABIDE Database , 2015, Journal of autism and developmental disorders.
[5] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[6] Bruce Fischl,et al. Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI , 2012, Magnetic resonance in medicine.
[7] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[8] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[9] Oliver Speck,et al. Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system , 2006, NeuroImage.
[10] 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.
[11] Nikolaus Weiskopf,et al. An evaluation of prospective motion correction (PMC) for high resolution quantitative MRI , 2015, Front. Neurosci..
[12] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[13] Oliver Speck,et al. Prospective motion correction in brain imaging: A review , 2013, Magnetic resonance in medicine.
[14] Graeme D. Jackson,et al. Constructing Carbon Fiber Motion-Detection Loops for Simultaneous EEG–fMRI , 2015, Front. Neurol..
[15] M. Milham,et al. The ADHD-200 Consortium: A Model to Advance the Translational Potential of Neuroimaging in Clinical Neuroscience , 2012, Front. Syst. Neurosci..
[16] A. Dale,et al. Through Thick and Thin: a Need to Reconcile Contradictory Results on Trajectories in Human Cortical Development , 2016, Cerebral cortex.
[17] Arno Klein,et al. Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements , 2014, NeuroImage.
[18] Cedric E. Ginestet. ggplot2: Elegant Graphics for Data Analysis , 2011 .
[19] Dan Rettmann,et al. PROMO: Real‐time prospective motion correction in MRI using image‐based tracking , 2010, Magnetic resonance in medicine.
[20] Daniel P. Kennedy,et al. The Autism Brain Imaging Data Exchange: Towards Large-Scale Evaluation of the Intrinsic Brain Architecture in Autism , 2013, Molecular Psychiatry.
[21] Feng Gao,et al. Retrospective motion correction protocol for high‐resolution anatomical MRI , 2006, Human brain mapping.
[22] A. Snyder,et al. Longitudinal analysis of neural network development in preterm infants. , 2010, Cerebral cortex.
[23] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[24] Karl J. Friston,et al. Voxel-Based Morphometry—The Methods , 2000, NeuroImage.
[25] Brian B. Avants,et al. Registration based cortical thickness measurement , 2009, NeuroImage.
[26] M. Dylan Tisdall,et al. Head motion during MRI acquisition reduces gray matter volume and thickness estimates , 2015, NeuroImage.