Fiber clustering versus the parcellation-based connectome

Anwander, 2007, Connectivity-based parcellation of Broca's area, Cereb. Cortex, 17, 816, 10.1093/cercor/bhk034 Basser, 1994, MR diffusion tensor spectroscopy and imaging, Biophys. J., 66, 259, 10.1016/S0006-3495(94)80775-1 Basser, 2000, In vivo fiber tractography using DT-MRI data, Magn. Reson. Med., 44, 625, 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O Bastiani, 2012, Human cortical connectome reconstruction from diffusion weighted MRI: the effect of tractography algorithm, NeuroImage, 62, 1732, 10.1016/j.neuroimage.2012.06.002 Behrens, 2003, Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging, Nat. Neurosci., 6, 750, 10.1038/nn1075 Behrens, 2003, Characterization and propagation of uncertainty in diffusion-weighted MR imaging, Magn. Reson. Med., 50, 1077, 10.1002/mrm.10609 Bernal, 2009, The role of the arcuate fasciculus in conduction aphasia, Brain, 132, 2309, 10.1093/brain/awp206 Brun, 2003, Coloring of DT-MRI fiber traces using Laplacian Eigenmaps, 518 Brun, 2004, Clustering fiber traces using normalized cuts, 368 Bullmore, 2009, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat. Rev. Neurosci., 10, 186, 10.1038/nrn2575 Cammoun, 2012, Mapping the human connectome at multiple scales with diffusion spectrum MRI, J. Neurosci. Meth., 203, 386, 10.1016/j.jneumeth.2011.09.031 Catani, 2005, Perisylvian language networks of the human brain, Ann. Neurol., 57, 8, 10.1002/ana.20319 Catani, 2012, Comment on the geometric structure of the brain fiber pathways, Science, 337, 1605, 10.1126/science.1223425 Clarkson, 2010, A framework for using diffusion weighted imaging to improve cortical parcellation, 534 Conturo, 1999, Tracking neuronal fiber pathways in the living human brain, Neurobiology, 96, 10422 Corouge, 2004, Towards a shape model of white matter fiber bundles using diffusion tensor MRI, 344 Damoiseaux, 2009, Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity, Brain Struct. Funct., 213, 525, 10.1007/s00429-009-0208-6 Desikan, 2006, An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, NeuroImage, 31, 968, 10.1016/j.neuroimage.2006.01.021 Diehl, 2010, Cortical stimulation for language mapping in focal epilepsy: correlations with tractography of the arcuate fasciculus, Epilepsia, 51, 639, 10.1111/j.1528-1167.2009.02421.x Ding, 2003, Classification and quantification of neuronal fiber pathways using diffusion tensor MRI, Magn. Reson. Med., 49, 716, 10.1002/mrm.10415 Dyrby, 2007, Validation of in vitro probabilistic tractography, NeuroImage, 37, 1267, 10.1016/j.neuroimage.2007.06.022 Fischl, 2004, Automatically parcellating the human cerebral cortex, Cereb. Cortex, 14, 11, 10.1093/cercor/bhg087 Frey, 2008, Dissociating the human language pathways with high angular resolution diffusion fiber tractography, J. Neurosci., 28, 11435, 10.1523/JNEUROSCI.2388-08.2008 Ge, 2012, Resting state fMRI-guided fiber clustering: methods and applications, Neuroinformatics, 1 Ge, 2012, Group-wise consistent fiber clustering based on multimodal connectional and functional profiles, 485 Gerig, 2004, Analysis of brain white matter via fiber tract modeling, vol. 2, 4421 Gong, 2009, Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography, Cereb. Cortex, 19, 524, 10.1093/cercor/bhn102 Goodlett, 2009, Group analysis of DTI fiber tract statistics with application to neurodevelopment, NeuroImage, 45, S133, 10.1016/j.neuroimage.2008.10.060 Gray, 1918 Greicius, 2009, Resting-state functional connectivity reflects structural connectivity in the default mode network, Cereb. Cortex, 19, 72, 10.1093/cercor/bhn059 Guevara, 2011, Robust clustering of massive tractography datasets, NeuroImage, 54, 1975, 10.1016/j.neuroimage.2010.10.028 Guevara, 2011, Segmentation of short association bundles in massive tractography datasets using a multi-subject bundle atlas, 701 Guevara, 2012, Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas, NeuroImage, 61, 1083, 10.1016/j.neuroimage.2012.02.071 Hagler, 2009, Automated white-matter tractography using a probabilistic diffusion tensor atlas: application to temporal lobe epilepsy, Hum. Brain Mapp., 30, 1535, 10.1002/hbm.20619 Hagmann, 2007, Mapping human whole-brain structural networks with diffusion MRI, PLoS One, 2, e597, 10.1371/journal.pone.0000597 Hagmann, 2008, Mapping the structural core of human cerebral cortex, PLoS Biol., 6, e159, 10.1371/journal.pbio.0060159 He, 2010, Graph theoretical modeling of brain connectivity, Curr. Opin. Neurol., 23, 341, 10.1097/WCO.0b013e32833aa567 Honey, 2009, Predicting human resting-state functional connectivity from structural connectivity, Proc. Natl. Acad. Sci., 106, 2035, 10.1073/pnas.0811168106 Jeurissen, 2013, Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging, Hum. Brain Mapp, 10.1002/hbm.22099 Jin, 2011, Heritability of white matter fiber tract shapes: a HARDI study of 198 twins, 35 Jin, 2012, Automatic population HARDI white matter tract clustering by label fusion of multiple tract atlases, 147 Jonasson, 2005, Fiber tracts of high angular resolution diffusion MRI are easily segmented with spectral clustering, vol. 24, 1127 Jones, 1999, Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI, Magn. Reson. Med., 42, 37, 10.1002/(SICI)1522-2594(199907)42:1<37::AID-MRM7>3.0.CO;2-O Jones, 2013, White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI, NeuroImage, 73, 239, 10.1016/j.neuroimage.2012.06.081 Klein, 2007, Connectivity-based parcellation of human cortex using diffusion MRI: establishing reproducibility, validity and observer independence in Ba 44/45 and SMA/pre-sma, NeuroImage, 34, 204, 10.1016/j.neuroimage.2006.08.022 Lazar, 2003, White matter tractography using diffusion tensor deflection, Hum. Brain Mapp., 18, 306, 10.1002/hbm.10102 Leclercq, 2010, Comparison of diffusion tensor imaging tractography of language tracts and intraoperative subcortical stimulations, J. Neurosurg., 112, 503, 10.3171/2009.8.JNS09558 Li, 2010, A hybrid approach to automatic clustering of white matter fibers, NeuroImage, 49, 1249, 10.1016/j.neuroimage.2009.08.017 Maddah, 2005, Automated atlas-based clustering of white matter fiber tracts from DTMRI, 188 Maddah, 2008, A unified framework for clustering and quantitative analysis of white matter fiber tracts, Med. Image Anal., 12, 191, 10.1016/j.media.2007.10.003 Maddah, 2008, Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution, 1 Maddah, 2011, Sheet-like white matter fiber tracts: representation, clustering, and quantitative analysis, 191 Malcolm, 2010, Filtered multitensor tractography, IEEE Trans. Med. Imaging, 29, 1664, 10.1109/TMI.2010.2048121 Moberts, 2005, Evaluation of fiber clustering methods for diffusion tensor imaging, 65 Mori, 1999, Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Ann. Neurol., 45, 265, 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3 Nolte, 2002 O'Donnell, 2005, White matter tract clustering and correspondence in populations, 140 O'Donnell, 2007, Automatic tractography segmentation using a high-dimensional white matter atlas, IEEE Trans. Med. Imaging, 26, 1562, 10.1109/TMI.2007.906785 O'Donnell, 2006, A method for clustering white matter fiber tracts, Am. J. Neuroradiol., 27, 1032 O'Donnell, 2009, Tract-based morphometry for white matter group analysis, NeuroImage, 45, 832, 10.1016/j.neuroimage.2008.12.023 O'Donnell, 2012, fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts, NeuroImage, 60, 456, 10.1016/j.neuroimage.2011.11.014 Prasad, 2011, Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography, 276 Propper, 2010, A combined fMRI and DTI examination of functional language lateralization and arcuate fasciculus structure: effects of degree versus direction of hand preference, Brain Cogn., 73, 85, 10.1016/j.bandc.2010.03.004 Rilling, 2008, The evolution of the arcuate fasciculus revealed with comparative DTI, Nat. Neurosci., 11, 426, 10.1038/nn2072 Roca, 2009, Tractography-based parcellation of the cortex using a spatially-informed dimension reduction of the connectivity matrix, 935 Roca, 2010, Inter-subject connectivity-based parcellation of a patch of cerebral cortex, 347 Smith, 2006, Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data, NeuroImage, 31, 1487, 10.1016/j.neuroimage.2006.02.024 Smith, 2011, Network modelling methods for fMRI, NeuroImage, 54, 875, 10.1016/j.neuroimage.2010.08.063 Sporns, 2011, The human connectome: a complex network, Ann. NY Acad. Sci., 1224, 109, 10.1111/j.1749-6632.2010.05888.x Sporns, 2005, The human connectome: a structural description of the human brain, PLoS Comput. Biol., 1, e42, 10.1371/journal.pcbi.0010042 Toga, 2006, Towards multimodal atlases of the human brain, Nat. Rev. Neurosci., 7, 952, 10.1038/nrn2012 Toga, 2012, Mapping the human connectome, Neurosurgery, 71, 1, 10.1227/NEU.0b013e318258e9ff Tomassini, 2007, Diffusion-weighted imaging tractography-based parcellation of the human lateral premotor cortex identifies dorsal and ventral subregions with anatomical and functional specializations, J. Neurosci., 27, 10259, 10.1523/JNEUROSCI.2144-07.2007 Tsai, 2007, Fiber tract clustering on manifolds with dual rooted-graphs, 1 Visser, 2011, Partition-based mass clustering of tractography streamlines, NeuroImage, 54, 303, 10.1016/j.neuroimage.2010.07.038 Voineskos, 2009, Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography, NeuroImage, 45, 370, 10.1016/j.neuroimage.2008.12.028 Voineskos, 2010, The role of the corpus callosum in transcranial magnetic stimulation induced interhemispheric signal propagation, Biol. Psychiatry, 68, 825, 10.1016/j.biopsych.2010.06.021 Voineskos, 2010, Diffusion tensor tractography findings in schizophrenia across the adult lifespan, Brain, 133, 1494, 10.1093/brain/awq040 Voineskos, 2012, Age-related decline in white matter tract integrity and cognitive performance: a DTI tractography and structural equation modeling study, Neurobiol. Aging, 33, 21, 10.1016/j.neurobiolaging.2010.02.009 Wang, 2011, Tractography segmentation using a hierarchical Dirichlet processes mixture model, NeuroImage, 54, 290, 10.1016/j.neuroimage.2010.07.050 Wang, 2011, DTI registration in atlas based fiber analysis of infantile Krabbe disease, NeuroImage, 55, 1577, 10.1016/j.neuroimage.2011.01.038 Wang, 2013, Application of neuroanatomical features to tractography clustering, Hum. Brain Mapp, 10.1002/hbm.22051 Wassermann, 2010, Unsupervised white matter fiber clustering and tract probability map generation: applications of a Gaussian process framework for white matter fibers, NeuroImage, 51, 228, 10.1016/j.neuroimage.2010.01.004 Wassermann, 2010, Diffusion-based population statistics using tract probability maps, 631 Wedeen, 2012, The geometric structure of the brain fiber pathways, Science, 335, 1628, 10.1126/science.1215280 Weinstein, 1999, Tensorlines: advection–diffusion based propagation through diffusion tensor fields, 249 Westin, 2002, Processing and visualization of diffusion tensor MRI, Med. Image Anal., 6, 93, 10.1016/S1361-8415(02)00053-1 Xia, 2005, Knowledge-based classification of neuronal fibers in entire brain, 205 Yendiki, 2011, Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy, Front. Neuroinform., 5, 10.3389/fninf.2011.00023 Yushkevich, 2008, Structure-specific statistical mapping of white matter tracts, NeuroImage, 41, 448, 10.1016/j.neuroimage.2008.01.013 Zhang, 2005, DTI fiber clustering and cross-subject cluster analysis Zhang, 2008, Identifying white-matter fiber bundles in DTI data using an automated proximity-based fiber-clustering method, IEEE Trans. Visual Comput. Graphics, 14, 1044, 10.1109/TVCG.2008.52 Zhu, 2012, Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles, NeuroImage, 59, 1382, 10.1016/j.neuroimage.2011.08.037 Ziyan, 2009, Consistency clustering: a robust algorithm for group-wise registration, segmentation and automatic atlas construction in diffusion MRI, Int. J. Comput. Vis., 85, 279, 10.1007/s11263-009-0217-1