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Exploring Connectivity of the Brain's White Matter with Dynamic Queries

A. Sherbondy, D. Akers, R. Mackenzie, R. Dougherty, B. Wandell
2005 IEEE Transactions on Visualization and Computer Graphics  
Abstract-Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging method that can be used to measure local information about the structure of white matter within the human brain.  ...  Combining DTI data with the computational methods of MR tractography, neuroscientists can estimate the locations and sizes of nerve bundles (white matter pathways) that course through the human brain.  ...  ACKNOWLEDGMENTS We thank Roland Bammer and Michael Moseley of the Stanford University Lucas Center, for useful discussions and for developing the pulse sequences used to collect our data.  ... 
doi:10.1109/tvcg.2005.59 pmid:16138552 fatcat:wz4llh6jjna7dokqxy4kedroyq

Exploration of the Brain's White Matter Structure through Visual Abstraction and Multi-Scale Local Fiber Tract Contraction

Maarten H. Everts, Eric Begue, Henk Bekker, Jos B. T. M. Roerdink, Tobias Isenberg
2015 IEEE Transactions on Visualization and Computer Graphics  
We present a visualization technique for brain fiber tracts from DTI data that provides insight into the structure of white matter through visual abstraction.  ...  We achieve this abstraction by analyzing the local similarity of tract segment directions at different scales using a stepwise increase of the search range.  ...  ACKNOWLEDGMENTS We thank Cris Lanting and Pim van Dijk from the Neu-roImaging Center in Groningen, the Netherlands, for the brain dataset used in this paper.  ... 
doi:10.1109/tvcg.2015.2403323 pmid:26357243 fatcat:ikkirnnr3nbadoscnigit5sc2y

Neuroanatomical Prerequisites for Language Functions in the Maturing Brain

Jens Brauer, Alfred Anwander, Angela D. Friederici
2010 Cerebral Cortex  
The 2 major language-relevant cortical regions in the human brain, Broca's area and Wernicke's area, are connected via the fibers of the arcuate fasciculus/superior longitudinal fasciculus (AF/SLF).  ...  extreme capsule fiber system. fMRI and DTI data converge to indicate that adults make use of a more confined language network than children based on ongoing maturation of the structural network.  ...  Conflict of Interest : None declared.  ... 
doi:10.1093/cercor/bhq108 pmid:20566580 fatcat:q3zelmi6h5hubmgvmzxzfhwyku

Change in the Brain's White Matter

R. D. Fields
2010 Science  
White matter, which lies beneath the gray matter cortex, is composed of millions of bundles of axons (nerve fibers) that connect neurons in different brain regions into functional circuits.  ...  Gray matter" is only one of two types of brain tissue; the other "white matter" is rarely mentioned.  ...  But much work needs to be done to explore these interesting possibilities.  ... 
doi:10.1126/science.1199139 pmid:21051624 pmcid:PMC3201847 fatcat:n7fdnznehzgrjk456f2cyfzagi

Enhanced White Matter Fiber Tracts in Advanced Jazz Improvisers

Kiran Dhakal, Martin Norgaard, Mukesh Dhamala
2021 Brain Sciences  
white matter fiber tracts connecting these areas.  ...  In this diffusion magnetic resonance imaging study, we examined the brain's white matter fiber properties in previously identified functional networks and compared the findings between advanced jazz improvisers  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/brainsci11040506 pmid:33923597 fatcat:4v6yiiwuwbf3llwyamizwfixhi

Prediction of Alzheimer's disease using individual structural connectivity networks

Junming Shao, Nicholas Myers, Qinli Yang, Jing Feng, Claudia Plant, Christian Böhm, Hans Förstl, Alexander Kurz, Claus Zimmer, Chun Meng, Valentin Riedl, Afra Wohlschläger (+1 others)
2012 Neurobiology of Aging  
Alzheimer's disease (AD) progressively degrades the brain's gray and white matter. Changes in white matter reflect changes in the brain's structural connectivity pattern.  ...  ISCNs may be useful as a white matter-based imaging biomarker to distinguish healthy aging from AD.  ...  Supplementary data Supplementary data associated with this article can be found in the online version at doi: 10.1016/j.neurobiolaging.2012.01.017.  ... 
doi:10.1016/j.neurobiolaging.2012.01.017 pmid:22405045 pmcid:PMC3778749 fatcat:ucinsd5yinf63ewcsrqr42krm4

Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity

Jessica S. Damoiseaux, Michael D. Greicius
2009 Brain Structure and Function  
We discuss eight articles that directly compare resting-state functional connectivity with structural connectivity and three clinical case studies of patients with limited white matter connections between  ...  In this review we aim to examine how our understanding of the relationship between structure and function in the 'resting' brain has advanced over the last several years.  ...  Acknowledgments We thank Lucina Uddin and Elena Rykhlevskaia for valuable discussion and comments on the paper.  ... 
doi:10.1007/s00429-009-0208-6 pmid:19565262 fatcat:uvslepxgojaglprruhewboqdfe

Connectivity-based structural and functional parcellation of the human cortex using diffusion imaging and tractography

Lauren L. Cloutman, Matthew A. Lambon Ralph
2012 Frontiers in Neuroanatomy  
In the current review, we explore the use of in vivo diffusion imaging and white matter tractography as a non-invasive method for the structural and functional parcellation of the human cerebral cortex  ...  Cortical parcellation via white matter connectivity is based on the premise that, as connectional anatomy determines functional organization, it should be possible to segregate functionally-distinct cortical  ...  Indeed, cellular lamination patterns and white matter connectivity profiles are but two of the brain's architectural elements which may be used to demarcate regions of specialization.  ... 
doi:10.3389/fnana.2012.00034 pmid:22952459 pmcid:PMC3429885 fatcat:66lmud5jkngq7kzbx6ydy7yvxu

Fiber estimation and tractography in diffusion MRI: Development of simulated brain images and comparison of multi-fiber analysis methods at clinical b-values

Bryce Wilkins, Namgyun Lee, Niharika Gajawelli, Meng Law, Natasha Leporé
2015 NeuroImage  
three fibers) recovered the greatest number of fibers and largest fraction of correct tractography for a complex three-fiber crossing region.  ...  For example, while all methods recovered similar tractography of prominent white matter pathways of limited fiber crossing, CSD (which had the highest fiber detection rate, especially for voxels containing  ...  We additionally thank Iman for generous assistance with the CSA method. Illustrations of tractography were prepared using TrackVis (http://www.trackvis.org; Wang et al., 2007) .  ... 
doi:10.1016/j.neuroimage.2014.12.060 pmid:25555998 pmcid:PMC4600612 fatcat:q3fdo7af6fgtlntdprs7bqyjiu

Mapping brain anatomical connectivity using white matter tractography

Mariana Lazar
2010 NMR in Biomedicine  
The trajectory and terminations of white matter pathways are estimated from local orientations of nerve bundles. These orientations are obtained using measurements of water diffusion in the brain.  ...  In this paper, the techniques for estimating fiber directions from diffusion measurements in the human brain are reviewed.  ...  Thanks go to Jens Jensen, Joseph Helpern, John Ollinger, Andy Alexander, and Aaron Field for useful discussions.  ... 
doi:10.1002/nbm.1579 pmid:20886567 pmcid:PMC4503207 fatcat:vxtc74ouufe35njl4wmwljldna

Multimodal Magnetic Resonance Imaging for Brain Disorders: Advances and Perspectives

Tianzi Jiang, Yong Liu, Feng Shi, Ni Shu, Bing Liu, Jiefeng Jiang, Yuan Zhou
2008 Brain Imaging and Behavior  
It would also be also very interesting to identify the genetic basis of the anatomical and functional abnormalities in the brains of people who have neurological and psychiatric disorders.  ...  We believe that we can use brain images to obtain effective biomarkers for various brain disorders with the aid of developing computational methods and models.  ...  The segmentation process classifies the voxels of an MRI scan as gray matter, white matter, cerebrospinal fluid, background, or region of interest (ROI).  ... 
doi:10.1007/s11682-008-9038-z fatcat:2sjqrh7sunbr5gzulmfcksfeki

Anatomical Brain Networks on the Prediction of Abnormal Brain States

Yasser Iturria-Medina
2013 Brain Connectivity  
Anatomical networks reconstructed using diffusion-weighed magnetic resonance-imaging techniques can be particularly useful in predicting abnormal brain states in which the white matter structure and, subsequently  ...  , the interconnections between gray matter regions are altered (e.g., due to the presence of diseases such as schizophrenia, stroke, multiple sclerosis, and dementia).  ...  I would also like to thank Jonathan Crofts and Ashish Raj, who kindly collaborated on the presentation of Figures 2 and 4 , respectively.  ... 
doi:10.1089/brain.2012.0122 pmid:23249224 fatcat:bujls77bb5fdtivilt5iqbhatu

Comprehensive Investigation of White Matter Tracts in Professional Chess Players and Relation to Expertise: Region of Interest and DMRI Connectometry

Mahsa Mayeli, Farzaneh Rahmani, Mohammad Hadi Aarabi
2018 Frontiers in Neuroscience  
Method: Diffusometric variables of 29 professional chess players and 29 age-sex matched controls were extracted for white matter regions based on John Hopkin's Mori white matter atlas and partially correlated  ...  Conclusion: Structural connectivity of major associational subcortical white matter fibers are increased in professional chess players.  ...  ACKNOWLEDGMENTS We would like to thank Kaiming Li and his group for sharing the DMRI unprocessed data from their study on chess players in the Chinese population.  ... 
doi:10.3389/fnins.2018.00288 pmid:29773973 pmcid:PMC5943529 fatcat:4beetdlbczbfzkftur74ty3plm

The Fiber Laterality Histogram: A New Way to Measure White Matter Asymmetry [chapter]

Lauren J. O'Donnell, Carl-Fredrik Westin, Isaiah Norton, Stephen Whalen, Laura Rigolo, Ruth Propper, Alexandra J. Golby
2010 Lecture Notes in Computer Science  
Methods for quantifying white matter asymmetry using diffusion MRI tractography have thus far been based on comparing numbers of fibers or volumes of a single fiber tract across hemispheres.  ...  We propose a generalization of such methods, where the "number of fibers" laterality measurement is extended to the entire brain using a soft fiber comparison metric.  ...  However, results have been inconsistent across studies, and much of the brain's white matter has not been systematically explored.  ... 
doi:10.1007/978-3-642-15745-5_28 fatcat:n7cvb2poxreshlzqpibeseyzee

Fiber Orientation Estimation Guided by a Deep Network [chapter]

Chuyang Ye, Jerry L. Prince
2017 Lecture Notes in Computer Science  
Diffusion magnetic resonance imaging (dMRI) is currently the only tool for noninvasively imaging the brain's white matter tracts.  ...  In this work we explore the use of a deep network for FO estimation in a dictionary-based framework and propose an algorithm named Fiber Orientation Reconstruction guided by a Deep Network (FORDN).  ...  By capturing the anisotropic water diffusion in tissue, dMRI infers information about fiber orientations (FOs), which are crucial features in white matter tract reconstruction [3] .  ... 
doi:10.1007/978-3-319-66182-7_66 pmid:28944347 pmcid:PMC5607063 fatcat:qtgxhhgfirgqfb5qqr2oujcxz4
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