Relevant bibliographies by topics / White matter

Academic literature on the topic 'White matter'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Journal articles on the topic "White matter"

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Alkhatib, Ahed J. "WHITE MATTER ASSOCIATED DISEASES." Indian Research Journal of Pharmacy and Science 5, no. 2 (2018): 1416–19. http://dx.doi.org/10.21276/irjps.2018.5.2.2.

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Douglas Fields, R. "White Matter Matters." Scientific American 298, no. 3 (March 2008): 54–61. http://dx.doi.org/10.1038/scientificamerican0308-54.

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Mattson, Mark P. "Neurogenetics: white matter matters." Trends in Genetics 18, no. 2 (February 2002): 71. http://dx.doi.org/10.1016/s0168-9525(02)02627-6.

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Mattson, Mark P. "Neurogenetics: white matter matters." Trends in Neurosciences 25, no. 3 (March 2002): 135–36. http://dx.doi.org/10.1016/s0166-2236(02)02135-5.

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Xu, Man-Yu, Zhi-Qiang Xu, and Yan-Jiang Wang. "White Matter “Matters” in Alzheimer’s Disease." Neuroscience Bulletin 38, no. 3 (December 1, 2021): 323–26. http://dx.doi.org/10.1007/s12264-021-00803-8.

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Caixeta, Leonardo. "What matters in white matter dementia?" Dementia & Neuropsychologia 1, no. 2 (June 2007): 131–39. http://dx.doi.org/10.1590/s1980-57642008dn10200004.

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Abstract Dementia studies has primarily focused on disorders of the cerebral cortex and subcortical gray matter, what originated the concepts of cortical and subcortical dementias respectively. Dementia related mainly with cerebral white matter have received less attention. We present five different cases, each one illustrative of a dementia subtype that could be assigned under the category of 'white matter dementia': CADASIL, progressive subcortical gliosis, progressive multifocal leucoencephalopathy, normopressure hydrocephalus and brain injury. Besides that, recent clinical and scientific literature on white matter dementia was reviewed. The composition of exuberant psychiatric symptoms and personality changes (mainly apathy, but also desinhibition) with neurological signs (pyramidal alone or associated with extrapyramidal signs, ataxia and urinary incontinence) and with specific cognitive impairment (mentioned above), should rise strongly the possibility of a white-matter dementia, instead of a cortical or subcortical form of dementia.
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Hudson, Ann. "White Matter." Prairie Schooner 89, no. 2 (2015): 45–46. http://dx.doi.org/10.1353/psg.2015.0058.

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Dammann, Olaf, Scott Durum, and Alan Leviton. "Do white cells matter in white matter damage?" Trends in Neurosciences 24, no. 6 (June 2001): 320–24. http://dx.doi.org/10.1016/s0166-2236(00)01811-7.

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Crawford, Colin L. "Do white cells matter in white-matter damage?" Trends in Neurosciences 25, no. 1 (January 2002): 20–21. http://dx.doi.org/10.1016/s0166-2236(00)02064-6.

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Hamilton, Roy Hoshi, and Olga Ciccarelli. "Non-White Participants Matter in White Matter Disease Studies." Neurology 98, no. 9 (January 19, 2022): 345–46. http://dx.doi.org/10.1212/wnl.0000000000013224.

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Dissertations / Theses on the topic "White matter"

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Mussie, Ezana. "Dark Matter, White Space." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-21571.

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This thesis addresses the ambiguous role of Malmö’s latest megaproject in the context of the city’s racializing urban development trajectory. The project is a public/private congress center, concert hall and hotel complex called Malmö Live. Malmö Live is problematized as the height of spectacle and challenge as it is expected to be the city’s most prominent cultural and social meeting place. The inquiry is directed to how its expectation of relevancy came about and utilizes a Foucauldian inspired genealogical methodology. The result stems from an investigation of the historical, present, local and global conditions that constitutes the expectancy of its relevancy. The investigation notes the divisiveness of tourism and how it affects ways of thinking and doing government on multiple scales, and in particular how it motivates the case in question. The result shows that there are affinities between tourism- during-colonialism and the contemporary tourism industry. Where the former was appropriated by colonialism and overtly racializing, the latter is allowed appropriacy by a currency ascribed to selected geographies and histories. By describing the becoming of this megaproject and the use of tourism knowledge and technology, the how-question about the expectation of Malmö Live’s relevancy leads to a genealogical reconstruction of Malmö Live as a wager on whiteness. The wager on whiteness hold no guarantees, but the power of it is the ability to be persuasive and believed, and the currency it holds for those who perform it. The thesis ends with a discussion on what is at stake with Malmö Live, i.e. Malmö’s whiteness.
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Sparrow, Sarah Anne. "Neuroepigenetics of preterm white matter injury." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31230.

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Introduction: Preterm birth is increasing worldwide and is a major cause of neonatal death. Survivors are at increased risk of neurodisability, cognitive, social and psychiatric disorders in later life. Alterations to the white matter can be assessed using diffusion tensor imaging (DTI) MRI and are associated with poor neurodevelopmental outcome. The pathogenesis of white matter injury is multifactorial and several clinical risk and resilience factors have been identified. DNA methylation (DNAm) is an epigenetic process which links stressful early life experience to later life disease and is associated with normal brain development, neuronal processes and neurological disease. Several studies have shown DNAm is altered by the perinatal environment, however its role in preterm white mater injury is yet to be investigated. Aims: 1. To examine the relationship between preterm birth and white matter integrity 2. To investigate the effect of neuroprotective treatments and deleterious clinical states on white matter integrity in preterm infants 3. To assess the best DTI method of quantifying white matter integrity in a neonatal population 4. To investigate the effect of preterm birth on DNA methylation and 5. To determine the clinical and imaging factors that contribute to the variance in DNA Methylation caused by preterm birth Methods: DTI data was acquired from preterm infants (< 32 weeks' gestation or < 1500 grams at birth) at term equivalent age (TEA) and term controls (> 37 weeks' gestation at birth). Region-of-interests (ROI) and tract-averaged methods of DTI analysis were performed to obtain measurements of fractional anisotropy (FA) and mean diffusivity (MD) in the genu of corpus callosum, posterior limb of internal capsule and centrum semiovale. Clinical data was collected for all infants and the effect of prematurity, neuroprotective agents and clinical risk factors on white matter integrity were analysed. 8 major white matter tracts were segmented using probabilistic neighbourhood tractography (PNT), a tract-averaged technique which also allowed the calculation of tract shape. The two DTI techniques were compared to evaluate agreement between results. DNA was collected from preterm infants and term controls at TEA, and a genome-wide analysis of DNAm was performed. DTI parameters from probabilistic neighborhood tractography (PNT) methodology and clinical risk and resilience factors were used to inform a principal components analysis to investigate the contribution of white matter integrity and clinical variables to variance in DNAm. Results: FA and MD were significantly affected by preterm birth on ROI analysis. In addition, DTI parameters were affected by clinical factors that included antenatal magnesium sulphate, histological chorioamnionitis and bronchopulmonary dysplasia. Evaluation of DTI methodology revealed good accuracy in repeated ROI measurements but limited agreement with tract-averaged values. Differential methylation was found within 25 gene bodies and 58 promoters of protein-coding genes in preterm infants, compared with controls. 10 of these genes have a documented association with neural function or neurological disease. Differences detected in the array were validated with pyrosequencing which captured additional differentially methylated CpGs. Ninety-five percent of the variance in DNAm in preterm infants was explained by 23 principal components (PC); corticospinal tract shape associated with 6th PC, and gender and early nutritional exposure associated with the 7th PC. Conclusions: Preterm birth is associated with alterations in white matter integrity which is modifiable by clinical risk factors and neuroprotective agents. ROI analysis may not provide sufficient representation of white matter tracts in their entirety. Prematurity is related to alterations in the methylome at sites that influence neural development and function. Differential methylation analysis has identified several promising candidate genes for future work and contributed to the understanding of the pathogenesis of preterm brain injury.
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Russell-Schulz, Bretta Adrianne. "Characterizing T₂ distributions in healthy white matter." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/38369.

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Quantitative T₂ measurements in Magnetic resonance imaging (MRI) can provide information about water environments in biological structures. Here, an extended Carr-Purcell-Meiboom-Gill sequence (CPMG) with echoes out to 1120ms was used to characterize Long-T₂ times of healthy white matter in brain. One of the white matter structures, the corticospinal tract (CST), was previously found to be bright on T₂-weighted images and myelin water fraction (MWF) images. The intra-/extra- cellular water (IE) T₂ peak of the CST was found to be broadened in comparison to that from other white matter structures and often split into two distinct peaks. In the CST, it appeared that the intracellular and extracellular water environments had different T₂ times, causing the intracellular water peak to be pushed down into the myelin water T₂ regime and the extracellular peak to be pushed up to higher T₂ times. The conventional T₂ limits of 10−40ms used for the MWF at 1.5T result in an artificial increase in MWF, which causes the CST to be bright on myelin water images. When the upper limit of the MWF range was decreased to 25ms, the CST exhibited MWF values similar to those found for adjacent anterior and posterior regions. Using T₂ time of 25ms for the myelin water (MW) upper limit and IE lower limit, a moderately strong relationship between IE geometric mean T₂ (GMT₂) and MW was found across all structures and subjects. This relationship did not necessarily hold when examined across subjects within individual structures The relationship between IE GMT₂ and MWF could arise from a non-biological source, such as the algorithm used in calculating T₂ or from a biological source, such as exchange between the water environments or increased extracellular water. Based on our results the fitting algorithm does not appear to be responsible for this relationship based on our results. However, either varying amounts of extracellular water or exchange between MW and IE could explain this relationship.
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Campbell, Jennifer S. W. "Diffusion imaging of white matter fibre tracts." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85135.

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This thesis presents the design and validation of a method for digitally reconstructing white matter fibre tracts in vivo using magnetic resonance imaging (MRI). The technique uses diffusion weighted MRI to estimate a likelihood distribution function for the fibre direction(s) in each imaging voxel, and subsequently infers connectivity from any point in the central nervous system to another. The fibre tracking algorithm addresses issues that can confound fibre tract reconstruction, such as imaging noise, subvoxel partial volume averaging of fibre directions, and problems with the estimate of the diffusion probability density function (pdf). It can take as input a diffusion pdf estimated using either the traditional diffusion tensor approach or more recent high angular resolution diffusion approaches. The fibre tracking technique is validated using in vivo human brain diffusion imaging data and using a phantom constructed from excised rat spinal cord, which provides a "gold standard" connectivity map. The results are promising, especially for regions of the brain where tracking using previously described algorithms has been difficult to perform, for example, the regions of complex fibre structure near the cortex. As the cortex is critical for functional activity in the brain, this may have widespread implications for our understanding of the human brain in healthy subjects and in disease.
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McCracken, Eileen. "White matter damage after acute brain injury." Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340812.

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O'Donnell, Lauren Jean. "Cerebral white matter analysis using diffusion imaging." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35514.

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Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2006.
Includes bibliographical references (p. 183-198).
In this thesis we address the whole-brain tractography segmentation problem. Diffusion magnetic resonance imaging can be used to create a representation of white matter tracts in the brain via a process called tractography. Whole brain tractography outputs thousands of trajectories that each approximate a white matter fiber pathway. Our method performs automatic organization, or segmention, of these trajectories into anatomical regions and gives automatic region correspondence across subjects. Our method enables both the automatic group comparison of white matter anatomy and of its regional diffusion properties, and the creation of consistent white matter visualizations across subjects. We learn a model of common white matter structures by analyzing many registered tractography datasets simultaneously. Each trajectory is represented as a point in a high-dimensional spectral embedding space, and common structures are found by clustering in this space. By annotating the clusters with anatomical labels, we create a model that we call a high-dimensional white matter atlas.
(cont.) Our atlas creation method discovers structures corresponding to expected white matter anatomy, such as the corpus callosum, uncinate fasciculus, cingulum bundles, arcuate fasciculus, etc. We show how to extend the spectral clustering solution, stored in the atlas, using the Nystrom method to perform automatic segmentation of tractography from novel subjects. This automatic tractography segmentation gives an automatic region correspondence across subjects when all subjects are labeled using the atlas. We show the resulting automatic region correspondences, demonstrate that our clustering method is reproducible, and show that the automatically segmented regions can be used for robust measurement of fractional anisotropy.
by Lauren Jean O'Donnell.
Ph.D.
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Morgan, G. L. "Regional variation models of white matter microstructure." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1379541/.

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Diffusion-weighted MRI (DW-MRI) is a powerful in vivo imaging technique that is particularly sensitive to the underlying microstructure of white matter tissue in the brain. Many models of the DW-MRI signal exist that allow us to relate the signals we measure to various aspects of the tissue structure, including measures of diffusivity, cellularity and even axon size. From histology, we know that many of these microstructure measures display distinct patterns of variation on length scales greater than the average voxel size. However very few methods exist that use this spatial coherence to inform and guide parameter estimation. Instead, most techniques treat each voxel of data independently. This is particularly problematic when estimating parameters such as axon radius which only weakly influence the signal, as the resulting estimates are noisy. Several methods have been proposed that spatially smooth parameter estimates after fitting the model in each voxel. However if the parameter estimates are very noisy, the underlying trend is likely to be obscured. These methods are also unable to account for spatial coupling that may exist between the various parameters. This thesis introduces a novel framework, the Regional Variation Model (RVM), which exploits the underlying spatial coherence within white matter tracts to estimate trends of microstructure variation across large regions of interest. We fit curves describing parameter variation directly to the diffusion-weighted signals which should capture spatial changes in a more natural way as well as reducing the effects of noise. This allows for more precise estimates of a range of microstructure indices, including axon radius. The resulting curves, which show how microstructure parameters vary spatially through white matter regions, can also be used to detect groupwise differences with potentially greater power than traditional methods.
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D'Anna, Lucio. "White matter disconnection in frontal lobe disorders." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/white-matter-disconnection-in-frontal-lobe-disorders(d3375b51-9431-4d54-bce3-62664bfbaff3).html.

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In the recent years our understanding of the frontal lobe functions has greatly advanced. The advances in the field of the neuropsychology, neuroimaging and neurosciences all contributed to a rapidly changing perspective on the role of the frontal lobes in behaviour and cognition and they also changed clinical approaches to the evaluation of patients with frontal lobe disorders. The structure of the brain can be non-invasively assessed in vivo using magnetic resonance imaging (MRI). The MRI diffusion tensor imaging (DTI) can be used to reconstruct the human brain white matter and to quantify their microstructural integrity. The aim of this thesis is to investigate the anatomy of the frontal networks underlying cognitive and behavioural functions and includes three studies: an investigation of the association between extra-motor white matter tracts and cognitive and behaviour symptoms in Motor Neuron Disease (MND); a study of the ventral fronto-temporal network and its association with behavioural symptoms in Primary Progressive Aphasia (PPA); a study to investigate the association between white matter abnormalities in several long association tracts and deficits in non-verbal and verbal communication in Autism Spectrum Disorders (ASD). Overall, the findings of this thesis indicate that both uncinate fasciculus and cingulum are frontal lobe structures particularly vulnerable to disease regardless the nature of the underlying pathology. Damage to these tracts could manifest with abnormalities in several aspects of social behaviour and cognition. These considerations will help to broaden our understanding of the frontal lobe function beyond motor and language functions.
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Doyle, Seán P. "Excitotoxic injury mechanisms in central white matter." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9586.

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Myelinated axons are crucial for rapid information transmission within the central nervous system (CNS). Myelin injury is a common feature of white matter (WM) pathology in a number of disease states, including ischemic stroke. Myelin disruption can lead to a complete failure in saltatory action potential conduction, resulting in devastating neurological deficits. However, the fundamental mechanism of ischemic myelin injury is controversial. Glutamate-mediated excitotoxicity is now recognised as a crucial event in the development of ischemic WM pathology. This thesis investigates the potential mechanisms of glutamate release in central WM and examines the hypothesis that NMDA receptor over-activation mediates ischemic myelin damage. Using glutamate biosensor microelectrodes and FM-dye imaging, I show that axonal depolarisation in the adult corpus callosum evokes rapid vesicular docking in axons, capable of elevating extracellular glutamate concentration. My findings show that vesicular fusion occurs under the myelin sheath in myelinated axons, which supports the existence of a novel synapse between the axon and overlaying myelin. Simulation of ischemia triggered an early and robust rise in optic nerve extracellular glutamate levels. Unexpectedly, a significant component of ischemic glutamate release also originated from axonal vesicular fusion. Together, these findings show that the axon-myelin synapse represents a significant site of excitotoxic injury during ischemia. Resolving prior conflicting results, I show that NMDA receptor antagonists prevent myelin degradation and improve functional recovery when applied for sufficient time to penetrate the sheath. Finally, I identify a fluorescent myelin stain (QNZ-46) which is a negative allosteric modulator of NR2C/D-containing NMDA receptors. QNZ-46 selectively accumulates in myelinated WM regions of the CNS following systemic administration, and is retained following wash-out. As a result, QNZ-46 provides persistent protection during ischemia by preserving myelin structure and improving functional recovery.
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Bertò, Giulia. "Supervised Learning for White Matter Bundle Segmentation." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/264971.

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Accurate delineation of anatomical structures in the white matter of the human brain is of paramount importance for multiple applications, such as neurosurgical planning, characterization of neurological disorders, and connectomic studies. Diffusion Magnetic Resonance Imaging (dMRI) techniques can provide, in-vivo, a mathematical representation of thousands of fibers composing such anatomical structures, in the form of 3D polylines called streamlines. Given this representation, a task of invaluable interest is known as white matter bundle segmentation, whose aim is to virtually group together streamlines sharing a similar pathway into anatomically meaningful structures, called white matter bundles. Obtaining a good and reliable bundle segmentation is however not trivial, mainly because of the intrinsic complexity of the data. Most of the current methods for bundle segmentation require extensive neuroanatomical knowledge, are time consuming, or are not able to adapt to different data settings. To overcome these limitations, the main goal of this thesis is to develop a new automatic method for accurate white matter bundle segmentation, by exploiting, combining and extending multiple up-to-date supervised learning techniques. The main contribution of the project is the development of a novel streamline-based bundle segmentation method based on binary linear classification, which simultaneously combines information from atlases, bundle geometries, and connectivity patterns. We prove that the proposed method reaches unprecedented quality of segmentation, and that is robust to a multitude of diverse settings, such as when there are differences in bundle size, tracking algorithm, and/or quality of dMRI data. In addition, we show that some of the state-of-the-art bundle segmentation methods are deeply affected by a geometrical property of the shape of the bundles to be segmented, their fractal dimension. Important factors involved in the task of streamline classification are: (i) the need for an effective streamline distance function and (ii) the definition of a proper feature space. To this end, we compare some of the most common streamline distance functions available in the literature and we provide some guidelines on their practical use for the task of supervised bundle segmentation. Moreover, we investigate the possibility to include, in a streamline-based segmentation method, additional information to the typically employed streamline distance measure. Specifically, we provide evidence that considering additional anatomical information regarding the cortical terminations of the streamlines and their proximity to specific Regions of Interest (ROIs) helps to improve the results of bundle segmentation. Lastly, significant attention is paid to reproducibility in neuroscience. Following the FAIR (Findable, Accessible, Interoperable and Reusable) Data Principles, we have integrated our pipelines of analysis into an online open platform devoted to promoting reproducibility of scientific results and to facilitating knowledge discovery.
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Books on the topic "White matter"

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Filippi, Massimo, and Maria A. Rocca. White Matter Diseases. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38621-4.

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Luttrell, Johanna C. White People and Black Lives Matter. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22489-9.

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S, Wakana, and Van Zijl, P. C. M., eds. MRI atlas of human white matter. Amsterdam, The Netherlands: Elsevier, 2004.

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Filley, Christopher M. The behavioral neurology of white matter. 2nd ed. New York, N.Y: Oxford University Press, 2013.

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Cho, Zang-Hee, ed. 7.0 Tesla MRI Brain White Matter Atlas. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-54392-0.

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Baltan, Selva, S. Thomas Carmichael, Carlos Matute, Guohua Xi, and John H. Zhang, eds. White Matter Injury in Stroke and CNS Disease. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9123-1.

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B, Westland Timothy, and Calton Robert N, eds. Handbook on white matter: Structure, function, and changes. Hauppauge, NY: Nova Science, 2009.

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Comi, Giancarlo, Massimo Filippi, and Marco Rovaris, eds. Normal-appearing White and Grey Matter Damage in Multiple Sclerosis. Milano: Springer Milan, 2004. http://dx.doi.org/10.1007/978-88-470-2127-3.

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Kellman, Martin. T.H. White and the matter of Britain: A literary overview. Lewiston [N.Y.]: E. Mellen Press, 1988.

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Skyborn, Leon. White Matter. Independently Published, 2018.

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Book chapters on the topic "White matter"

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Powell, Tiffany L. "White Matter." In Encyclopedia of Clinical Neuropsychology, 3730. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_378.

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Levesque, Roger J. R. "White Matter." In Encyclopedia of Adolescence, 3066. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_626.

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Powell, Tiffany L. "White Matter." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_378-2.

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Vanderlaan, Anne Fierro. "White Matter." In Encyclopedia of Child Behavior and Development, 1565. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_3083.

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Levesque, Roger J. R. "White Matter." In Encyclopedia of Adolescence, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32132-5_626-2.

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Levesque, Roger J. R. "White Matter." In Encyclopedia of Adolescence, 4107–9. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_626.

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Powell, Tiffany L. "White Matter." In Encyclopedia of Clinical Neuropsychology, 2709–10. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_378.

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Filippi, Massimo, and Maria A. Rocca. "Multiple Sclerosis." In White Matter Diseases, 1–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38621-4_1.

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Filippi, Massimo, and Maria A. Rocca. "Pediatric Multiple Sclerosis." In White Matter Diseases, 37–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38621-4_2.

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Filippi, Massimo, and Maria A. Rocca. "Neuromyelitis Optica Spectrum Disorders." In White Matter Diseases, 67–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38621-4_3.

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Conference papers on the topic "White matter"

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"FRONT MATTER." In Stochastic Analysis: Classical and Quantum - Perspectives of White Noise Theory. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701541_fmatter.

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Plassard, Andrew, Kendra E. Hinton, Vijay Venkatraman, Christopher Gonzalez, Susan M. Resnick, and Bennett A. Landman. "Bootstrapping white matter segmentation, Eve++." In SPIE Medical Imaging, edited by Sébastien Ourselin and Martin A. Styner. SPIE, 2015. http://dx.doi.org/10.1117/12.2081613.

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Isa, I., S. N. Sulaiman, M. F. Abdullah, N. Md Tahir, S. Z. Yahaya, M. Mustapha, and N. K. A. Karim. "Assessing intensity of white matter hyperintensity and normal appearing white matter in healthy adults." In 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2016. http://dx.doi.org/10.1109/iecbes.2016.7843502.

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Zhang, Fan, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells, and Lauren J. O'Donnell. "Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency." In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). IEEE, 2017. http://dx.doi.org/10.1109/isbi.2017.7950638.

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Glendenning, N. K., Ch Kettner, and F. Weber. "Possible new class of dense white dwarfs." In Strangeness in hadronic matter. AIP, 1995. http://dx.doi.org/10.1063/1.48713.

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Rullmann, M., PL Flender, V. Villemagne, O. Sabri, and H. Barthel. "As a (white) matter of fact – Different white matter properties of beta-amyloid PET tracers." In NuklearMedizin 2020. © Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1708421.

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Yumerhodzha, Sami, Dilek Goksel Duru, Adil Deniz Duru, and Nerses Bebek. "White matter changes in thalamic stroke." In 2014 18th National Biomedical Engineering Meeting (BIYOMUT). IEEE, 2014. http://dx.doi.org/10.1109/biyomut.2014.7026376.

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Keceli, Ali Seydi, and Ahmet Burak Can. "Automatic segmentation of white matter lesions." In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136362.

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Jin, Yan, and H. Ertan Cetingul. "Tractography-embedded white matter stream clustering." In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015). IEEE, 2015. http://dx.doi.org/10.1109/isbi.2015.7163904.

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Ben Alaya, Ines, Mokhtar Mars, Nawres Khlifa, and Tarek Kraiem. "Fiber tracking in the white matter." In 2014 First International Image Processing, Applications and Systems Conference (IPAS). IEEE, 2014. http://dx.doi.org/10.1109/ipas.2014.7043283.

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Reports on the topic "White matter"

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Ordway, Gregory A., Michelle J. Chandley, and Jessica D. Crawford. White Matter Glial Pathology in Autism. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada613167.

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Ordway, Gregory A., and Michelle J. Chandley. White Matter Glia Pathology in Autism. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada590212.

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Sahin, Mustafa. Role of CTGF in White Matter Development in Tuberous Sclerosis. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada605019.

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Laxamana, Julius. Determining the Relationship between White Matter Volume and Processing Speed in Adolescence. Portland State University Library, January 2016. http://dx.doi.org/10.15760/honors.273.

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Dias, Shirin Ananda. Nice White Ladies: The Truth about White Supremacy, Our Role in It, and How We Can Help Dismantle It. European Center for Populism Studies (ECPS), March 2022. http://dx.doi.org/10.55271/br0010.

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In her book, Jessie Daniels deconstructs whiteness and scrutinizes individuals’ contributions to and relationships with it, making “Nice White Ladies” an excellent work of literature for those who understand that the practice of anti-racism cannot be disentangled from self-work. However much one may already know about the subject matter, Daniels’ confronting, academic, and personal approach will surely provide her readers with fresh insights.
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Ananda Dias, Shirin. Nice White Ladies: The Truth about White Supremacy, Our Role in It, and How We Can Help Dismantle It. European Center for Populism Studies (ECPS), March 2022. http://dx.doi.org/10.55271/br0009.

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Abstract:
In her book, Jessie Daniels deconstructs whiteness and scrutinizes individuals’ contributions to and relationships with it, making “Nice White Ladies” an excellent work of literature for those who understand that the practice of anti-racism cannot be disentangled from self-work. However much one may already know about the subject matter, Daniels’ confronting, academic, and personal approach will surely provide her readers with fresh insights.
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Little, Deborah M. High Resolution Diffusion Tensor Imaging of Cortical-Subcortical White Matter Tracts in TBI. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada513063.

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Little, Deborah M. High Resolution Diffusion Tensor Imaging of Cortical-Subcortical White Matter Tracts in TBI. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada549548.

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Argüelles, C. A., A. J. Aurisano, B. Batell, J. Berger, M. Bishai, T. Boschi, N. Byrnes, et al. White Paper on New Opportunities at the Next-Generation Neutrino Experiments (Part 1: BSM Neutrino Physics and Dark Matter). Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1556972.

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Byrum, K., D. Horan, T. Tait, R. Wanger, G. Zaharijas, J. Buckley, E. A. Baltz, et al. Section on prospects for dark matter detection of the white paper on the status and future of ground-based TeV gamma-ray astronomy. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/952938.

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