Independent component analysis of DTI reveals multivariate microstructural correlations of white matter in the human brain
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Pratik Mukherjee | Sara C. LaHue | Shelly R. Cooper | P. Mukherjee | Yi-Ou Li | Fanpei G. Yang | Christopher T. Nguyen | S. Venugopal | Yi‐Ou Li | Fanpei G. Yang | Christopher T. Nguyen | Shelly R. Cooper | Sara C. LaHue | Sandya Venugopal
[1] R. McKinstry,et al. Diffusion tensor imaging and tractography of human brain development. , 2006, Neuroimaging clinics of North America.
[2] R. Poldrack,et al. Microstructure of Temporo-Parietal White Matter as a Basis for Reading Ability Evidence from Diffusion Tensor Magnetic Resonance Imaging , 2000, Neuron.
[3] Maximilian Reiser,et al. White matter microstructure underlying default mode network connectivity in the human brain , 2010, NeuroImage.
[4] C. Beaulieu,et al. The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.
[5] Torsten Rohlfing,et al. Problem Solving, Working Memory, and Motor Correlates of Association and Commissural Fiber Bundles in Normal Aging: a Quantitative Fiber Tracking Study , 2022 .
[6] M. Just,et al. Altering Cortical Connectivity: Remediation-Induced Changes in the White Matter of Poor Readers , 2009, Neuron.
[7] Rex E. Jung,et al. Multimodal and Multi-Tissue Measures of Connectivity Revealed by Joint Independent Component Analysis , 2008, IEEE Journal of Selected Topics in Signal Processing.
[8] Luis Concha,et al. Imaging brain connectivity in children with diverse reading ability , 2005, NeuroImage.
[9] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[10] Jens Frahm,et al. Topography of the human corpus callosum revisited—Comprehensive fiber tractography using diffusion tensor magnetic resonance imaging , 2006, NeuroImage.
[11] M. Mikl,et al. Source‐based morphometry of gray matter volume in men with first‐episode schizophrenia , 2009, Human brain mapping.
[12] V. Calhoun,et al. Source‐based morphometry: The use of independent component analysis to identify gray matter differences with application to schizophrenia , 2009, Human brain mapping.
[13] E. Melhem,et al. Diffusion-tensor MR imaging and tractography: exploring brain microstructure and connectivity. , 2007, Radiology.
[14] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.
[15] Xiangyu Long,et al. Functional segmentation of the brain cortex using high model order group PICA , 2009, Human brain mapping.
[16] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[17] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[18] Alan C. Evans,et al. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. , 2007, Cerebral cortex.
[19] Alan C. Evans,et al. Comparing functional connectivity via thresholding correlations and singular value decomposition , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[20] John J Sidtis,et al. Abnormal white matter integrity in healthy apolipoprotein E epsilon4 carriers , 2005, Neuroreport.
[21] Andrew L. Alexander,et al. Hybrid diffusion imaging , 2007, NeuroImage.
[22] A. Caprihan,et al. Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements , 2008, NeuroImage.
[23] A. Scheibel,et al. Fiber composition of the human corpus callosum , 1992, Brain Research.
[24] Randy L. Gollub,et al. Reproducibility of quantitative tractography methods applied to cerebral white matter , 2007, NeuroImage.
[25] Tülay Adali,et al. Estimating the number of independent components for functional magnetic resonance imaging data , 2007, Human brain mapping.
[26] A. Barkovich,et al. Variability of Homotopic and Heterotopic Callosal Connectivity in Partial Agenesis of the Corpus Callosum: A 3T Diffusion Tensor Imaging and Q-Ball Tractography Study , 2008, American Journal of Neuroradiology.
[27] A. Dale,et al. Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.
[28] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[29] V. Haughton,et al. Independent component analysis applied to diffusion tensor MRI , 2002, Magnetic resonance in medicine.
[30] Konstantinos Arfanakis,et al. A tractography comparison between turboprop and spin-echo echo-planar diffusion tensor imaging , 2008, NeuroImage.
[31] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[32] S. Wakana,et al. MRI Atlas of Human White Matter , 2005 .
[33] The need for spatially standardized methods in clinical applications of diffusion tensor imaging of white matter. , 2009, Radiology.
[34] P. V. van Zijl,et al. Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.
[35] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[36] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[37] M. Raichle,et al. Tracking neuronal fiber pathways in the living human brain. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[38] M. Moseley. Diffusion tensor imaging and aging – a review , 2002, NMR in biomedicine.
[39] Timothy Edward John Behrens,et al. Training induces changes in white matter architecture , 2009, Nature Neuroscience.
[40] Alan C. Evans,et al. Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI , 2006, NeuroImage.
[41] Daniel Rueckert,et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.
[42] D. Tuch. Q‐ball imaging , 2004, Magnetic resonance in medicine.
[43] P. Hagmann,et al. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging , 2005, Magnetic resonance in medicine.
[44] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[45] G. Gamkrelidze,et al. Developmental Changes in Diffusion Anisotropy Coincide with Immature Oligodendrocyte Progression and Maturation of Compound Action Potential , 2005, The Journal of Neuroscience.
[46] Pratik Mukherjee,et al. Structural dissociation of attentional control and memory in adults with and without mild traumatic brain injury. , 2008, Brain : a journal of neurology.
[47] P. Basser,et al. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.
[48] Joshua Ng,et al. Microstructural correlations of white matter tracts in the human brain , 2010, NeuroImage.
[49] Thomas E. Nichols,et al. Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics , 2007, Nature Protocols.
[50] A M McIntosh,et al. The effects of a neuregulin 1 variant on white matter density and integrity , 2008, Molecular Psychiatry.
[51] Alan Connelly,et al. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.
[52] Joanna M. Wardlaw,et al. A General Factor of Brain White Matter Integrity Predicts Information Processing Speed in Healthy Older People , 2010, The Journal of Neuroscience.
[53] Stephen M. Smith,et al. Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.
[54] Aapo Hyvärinen,et al. Validating the independent components of neuroimaging time series via clustering and visualization , 2004, NeuroImage.
[55] Konstantinos Arfanakis,et al. Motion correction in periodically‐rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) and turboprop MRI , 2009, Magnetic resonance in medicine.
[56] Manbir Singh,et al. Recovery of Multiple Fibers Per Voxel by ICA in DTI Tractography , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[57] Agatha D. Lee,et al. Genetics of Brain Fiber Architecture and Intellectual Performance , 2009, The Journal of Neuroscience.
[58] Arthur W. Toga,et al. Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.
[59] David M. Thomasson,et al. Reliability of fiber tracking measurements in diffusion tensor imaging for longitudinal study , 2010, NeuroImage.
[60] John Russell,et al. Dysmyelination Revealed through MRI as Increased Radial (but Unchanged Axial) Diffusion of Water , 2002, NeuroImage.
[61] Bruce D. McCandliss,et al. Left lateralized white matter microstructure accounts for individual differences in reading ability and disability , 2006, Neuropsychologia.
[62] Mark W. Woolrich,et al. Linked independent component analysis for multimodal data fusion , 2011, NeuroImage.