Relevant bibliographies by topics / Brain, Magnetic Resonance Imaging, Neuroscience, Diffusion-weighted MRI

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Brain, Magnetic Resonance Imaging, Neuroscience, Diffusion-weighted MRI'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Brain, Magnetic Resonance Imaging, Neuroscience, Diffusion-weighted MRI"

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Alghamdi, Ahmad Joman. "The Value of Various Post-Processing Modalities of Diffusion Weighted Imaging in the Detection of Multiple Sclerosis." Brain Sciences 13, no. 4 (2023): 622. http://dx.doi.org/10.3390/brainsci13040622.

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Diffusion tensor imaging (DTI) showed its adequacy in evaluating the normal-appearing white matter (NAWM) and lesions in the brain that are difficult to evaluate with routine clinical magnetic resonance imaging (MRI) in multiple sclerosis (MS). Recently, MRI systems have been developed with regard to software and hardware, leading to different proposed diffusion analysis methods such as diffusion tensor imaging, q-space imaging, diffusional kurtosis imaging, neurite orientation dispersion and density imaging, and axonal diameter measurement. These methods have the ability to better detect in v
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van der Voort, Sebastian R., Marion Smits, and Stefan Klein. "DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data." Neuroinformatics 19, no. 1 (2020): 159–84. http://dx.doi.org/10.1007/s12021-020-09475-7.

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AbstractWith the increasing size of datasets used in medical imaging research, the need for automated data curation is arising. One important data curation task is the structured organization of a dataset for preserving integrity and ensuring reusability. Therefore, we investigated whether this data organization step can be automated. To this end, we designed a convolutional neural network (CNN) that automatically recognizes eight different brain magnetic resonance imaging (MRI) scan types based on visual appearance. Thus, our method is unaffected by inconsistent or missing scan metadata. It c
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Ahmad, Asma Hayati, Siti Hajar Zabri, Siti Mariam Roslan, et al. "Diffusion Magnetic Resonance Imaging and Human Reward System Research: A Bibliometric Analysis and Visualisation of Current Research Trends." Malaysian Journal of Medical Sciences 31, no. 4 (2024): 111–25. http://dx.doi.org/10.21315/mjms2024.31.4.9.

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Background: The human reward system has been extensively studied using neuroimaging. This bibliometric analysis aimed to determine the global trend in diffusion magnetic resonance imaging (dMRI) and human reward research in terms of the number of documents, the most active countries and their collaborating countries, the top journals and institutions, the most prominent authors and most cited articles, and research hotspots. Methods: The research datasets were acquired from the Scopus database. The search terms used were ‘reward’ AND ‘human’ AND ‘diffusion imaging’ OR ‘diffusion tensor imaging
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de Jong, Joost J. A., Jacobus F. A. Jansen, Laura W. M. Vergoossen, et al. "Effect of Magnetic Resonance Image Quality on Structural and Functional Brain Connectivity: The Maastricht Study." Brain Sciences 14, no. 1 (2024): 62. http://dx.doi.org/10.3390/brainsci14010062.

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In population-based cohort studies, magnetic resonance imaging (MRI) is vital for examining brain structure and function. Advanced MRI techniques, such as diffusion-weighted MRI (dMRI) and resting-state functional MRI (rs-fMRI), provide insights into brain connectivity. However, biases in MRI data acquisition and processing can impact brain connectivity measures and their associations with demographic and clinical variables. This study, conducted with 5110 participants from The Maastricht Study, explored the relationship between brain connectivity and various image quality metrics (e.g., signa
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Shibata, Yasushi, Masayuki Goto, and Sumire Ishiyama. "Analysis of Migraine Pathophysiology by Magnetic Resonance Imaging." OBM Neurobiology 6, no. 1 (2021): 1. http://dx.doi.org/10.21926/obm.neurobiol.2201115.

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Magnetic resonance imaging (MRI) has been used to investigate migraine pathophysiology because it is a non-invasive technique. The main aim of clinical imaging for patients with headaches is to exclude secondary headaches due to organic lesions. Conventional structural imaging techniques such as routine MRI demonstrate white matter lesions, changes in gray matter volume or cortical thickness, and cerebral blood flow in patients with migraine. Changes in metabolite levels are observed by magnetic resonance spectroscopy. Diffusion tensor imaging, neurite orientation dispersion, density imaging,
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Silvagni, Ettore, Alessandra Bortoluzzi, Massimo Borrelli, Andrea Bianchi, Enrico Fainardi, and Marcello Govoni. "Cerebral Microstructure Analysis by Diffusion-Based MRI in Systemic Lupus Erythematosus: Lessons Learned and Research Directions." Brain Sciences 12, no. 1 (2021): 70. http://dx.doi.org/10.3390/brainsci12010070.

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Diffusion-based magnetic resonance imaging (MRI) studies, namely diffusion-weighted imaging (DWI) and diffusion-tensor imaging (DTI), have been performed in the context of systemic lupus erythematosus (SLE), either with or without neuropsychiatric (NP) involvement, to deepen cerebral microstructure alterations. These techniques permit the measurement of the variations in random movement of water molecules in tissues, enabling their microarchitecture analysis. While DWI is recommended as part of the initial MRI assessment of SLE patients suspected for NP involvement, DTI is not routinely part o
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Linden, Annemie Van der, Marleen Verhoye, and Göran E. Nilsson. "Does Anoxia Induce Cell Swelling in Carp Brains? In Vivo MRI Measurements in Crucian Carp and Common Carp." Journal of Neurophysiology 85, no. 1 (2001): 125–33. http://dx.doi.org/10.1152/jn.2001.85.1.125.

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Although both common and crucian carp survived 2 h of anoxia at 18°C, the response of their brains to anoxia was quite different and indicative of the fact that the crucian carp is anoxia tolerant while the common carp is not. Using in vivo T2 and diffusion-weighted magnetic resonance imaging (MRI), we studied anoxia induced changes in brain volume, free water content (T2), and water homeostasis (water diffusion coefficient). The anoxic crucian carp showed no signs of brain swelling or changes in brain water homeostasis even after 24 h except for the optic lobes, where cellular edema was indic
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Smit, Dirk J. A., Dennis van ‘t Ent, Greig de Zubicaray, and Jason L. Stein. "Neuroimaging and Genetics: Exploring, Searching, and Finding." Twin Research and Human Genetics 15, no. 3 (2012): 267–72. http://dx.doi.org/10.1017/thg.2012.20.

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This issue on the genetics of brain imaging phenotypes is a celebration of the happy marriage between two of science's highly interesting fields: neuroscience and genetics. The articles collected here are ample evidence that a good deal of synergy exists in this marriage. A wide selection of papers is presented that provide many different perspectives on how genes cause variation in brain structure and function, which in turn influence behavioral phenotypes (including psychopathology). They are examples of the many different methodologies in contemporary genetics and neuroscience research. Gen
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Esposito, Romina, Marta Bortoletto, Domenico Zacà, Paolo Avesani, and Carlo Miniussi. "An integrated TMS-EEG and MRI approach to explore the interregional connectivity of the default mode network." Brain Structure and Function 227, no. 3 (2022): 1133–44. http://dx.doi.org/10.1007/s00429-022-02453-6.

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AbstractExplorations of the relation between brain anatomy and functional connections in the brain are crucial for shedding more light on network connectivity that sustains brain communication. In this study, by means of an integrative approach, we examined both the structural and functional connections of the default mode network (DMN) in a group of sixteen healthy subjects. For each subject, the DMN was extracted from the structural and functional resonance imaging data; the areas that were part of the DMN were defined as the regions of interest. Then, the target network was structurally exp
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Mao, Chenglu, Yang Zhang, Jialiu Jiang, et al. "Magnetic Resonance Imaging Biomarkers of Punding in Parkinson’s Disease." Brain Sciences 13, no. 10 (2023): 1423. http://dx.doi.org/10.3390/brainsci13101423.

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Punding is a rare condition triggered by dopaminergic therapy in Parkinson’s disease (PD), characterized by a complex, excessive, repetitive, and purposeless abnormal movement, and its pathogenesis remains unclear. We aimed to assess the brain structure alterations related to punding by using multipametric magnetic resonance imaging (MRI). Thirty-eight PD patients (19 with punding and 19 without punding) from the Parkinson’s Progression Marker Initiative (PPMI) were included in this study. Cortical thickness was assessed with FreeSurfer, and the integrity of white matter fiber tracts and netwo
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Dissertations / Theses on the topic "Brain, Magnetic Resonance Imaging, Neuroscience, Diffusion-weighted MRI"

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Novello, Lisa. "Towards Improving the Specificity of Human Brain Microstructure Research with Diffusion-Weighted MRI." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/342277.

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The possibility to perform virtual, non-invasive, quantitative, in vivo histological assessments might revolutionize entire fields, among which clinical and cognitive neurosciences. Magnetic Resonance Imaging (MRI) is an ideal non-invasive imaging technique to achieve these goals. Tremendous advancements in the last decades have favored the transition of MRI scanners from “imaging devices” to “measurement devices” (Novikov, 2021), thus capable to yield measurements in physical units, which might be further combined to provide quantities describing histological properties of substrates. A centr
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Eichner, Cornelius. "Slice-Accelerated Magnetic Resonance Imaging." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184944.

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This dissertation describes the development and implementation of advanced slice-accelerated (SMS) MRI methods for imaging blood perfusion and water diffusion in the human brain. Since its introduction in 1977, Echo-Planar Imaging (EPI) paved the way toward a detailed assessment of the structural and functional properties of the human brain. Currently, EPI is one of the most important MRI techniques for neuroscientific studies and clinical applications. Despite its high prevalence in modern medical imaging, EPI still suffers from sub-optimal time efficiency - especially when high isotropic res
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Frost, Stephen Robert. "Diffusion-weighted magnetic resonance imaging with readout-segmented echo-planar imaging." Thesis, University of Oxford, 2012. https://ora.ox.ac.uk/objects/uuid:94421cdc-6bcb-49c2-b9d9-64e016b875f8.

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Diffusion-weighted (DW) magnetic resonance imaging is an important neuroimaging technique that has successful applications in diagnosis of ischemic stroke and methods based on diffusion tensor imaging (DTI). Tensor measures have been used for detecting changes in tissue microstructure and for non-invasively tracing white matter connections in vivo. The most common image acquistion strategy is to use a DW single-shot echo-planar imaging (ss-EPI) pulse sequence, which is attractive due to its robustness to motion artefacts and high imaging speed. However, this sequence has limited achievable spa
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Metwalli, Nader. "High angular resolution diffusion-weighted magnetic resonance imaging: adaptive smoothing and applications." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34854.

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Diffusion-weighted magnetic resonance imaging (MRI) has allowed unprecedented non-invasive mapping of brain neural connectivity in vivo by means of fiber tractography applications. Fiber tractography has emerged as a useful tool for mapping brain white matter connectivity prior to surgery or in an intraoperative setting. The advent of high angular resolution diffusion-weighted imaging (HARDI) techniques in MRI for fiber tractography has allowed mapping of fiber tracts in areas of complex white matter fiber crossings. Raw HARDI images, as a result of elevated diffusion-weighting, suffer from de
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Boyer, Peter Gerard. "A Study of Bioluminescent and Magnetic Resonance Imaging in Murine Glioblastoma Models." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408624457.

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Ghayoor, Ali. "Improved interpretation of brain anatomical structures in magnetic resonance imaging using information from multiple image modalities." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5477.

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This work explores if combining information from multiple Magnetic Resonance Imaging (MRI) modalities provides improved interpretation of brain biological architecture as each MR modality can reveal different characteristics of underlying anatomical structures. Structural MRI provides a means for high-resolution quantitative study of brain morphometry. Diffusion-weighted MR imaging (DWI) allows for low-resolution modeling of diffusivity properties of water molecules. Structural and diffusion-weighted MRI modalities are commonly used for monitoring the biological architecture of the brain in no
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Tziortzi, Andri. "Quantitative dopamine imaging in humans using magnetic resonance and positron emission tomography." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:26b8b4c2-0237-4c40-8c84-9ae818a0dabf.

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Dopamine is an important neurotransmitter that is involved in several human functions such as reward, cognition, emotions and movement. Abnormalities of the neurotransmitter itself, or the dopamine receptors through which it exerts its actions, contribute to a wide range of psychiatric and neurological disorders such as Parkinson’s disease and schizophrenia. Thus far, despite the great interest and extensive research, the exact role of dopamine and the causalities of dopamine related disorders are not fully understood. Here we have developed multimodal imaging methods, to investigate the relea
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Ruoss, Kerstin Andrea. "1. Brain development (sulci and gyri) as assessed by MR imaging in preterm and term newborn infants. 2. Germinal matrix hemorrhage and white matter lesions in neonates; correlation of serial ultrasound and early magnetic resonance imaging findings. 3. Diffusion-weighted MRI of middle cerebral artery stroke in a newborn /." Bern, 2002. http://www.stub.unibe.ch/html/haupt/datenbanken/diss/bestell.html.

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Sreenivasan, Varsha. "Structural connectivity correlates of human cognition explored with diffusion MRI and tractography." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5228.

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Intact structural connectivity among brain regions is critical to cognition. Structural connectivity forms the substratum for information flow between brain regions, and its plasticity is a hallmark of learning in the brain. Moreover, structural connectivity markers constitute a heritable phenotype. Investigating neuroanatomical connectivity in the human brain is, therefore, critical not only for uncovering the neural underpinnings of behavior but also for understanding connectomic bases of neurodevelopmental and neurodegenerative disorders, such as autism and Alzheimer’s Disease. Diffusion m
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Merrem, Andreas. "Undersampled Radial STEAM MRI: Methodological Developments and Applications." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E37D-4.

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Book chapters on the topic "Brain, Magnetic Resonance Imaging, Neuroscience, Diffusion-weighted MRI"

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Goebel, Rainer. "Revealing Brain Activity and White Matter Structure Using Functional and Diffusion-Weighted Magnetic Resonance Imaging." In Clinical Functional MRI. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45123-6_2.

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Goebel, Rainer. "Revealing Brain Activity and White Matter Structure Using Functional and Diffusion-Weighted Magnetic Resonance Imaging." In Clinical Functional MRI. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83343-5_2.

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Dela Haije, Tom, and Aasa Feragen. "Conceptual Parallels Between Stochastic Geometry and Diffusion-Weighted MRI." In Mathematics and Visualization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56215-1_9.

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AbstractDiffusion-weighted magnetic resonance imaging (MRI) is sensitive to ensemble-averaged molecular displacements, which provide valuable information on e.g. structural anisotropy in brain tissue. However, a concrete interpretation of diffusion-weighted MRI data in terms of physiological or structural parameters turns out to be extremely challenging. One of the main reasons for this is the multi-scale nature of the diffusion-weighted signal, as it is sensitive to the microscopic motion of particles averaged over macroscopic volumes. In order to analyze the geometrical patterns that occur i
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Moretto, Umberto, Dylan Smith, Liliana Dell’Osso, and Thien Thanh Dang-Vu. "Multimodal imaging of sleep–wake disorders." In New Oxford Textbook of Psychiatry, edited by John R. Geddes, Nancy C. Andreasen, and Guy M. Goodwin. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198713005.003.0113.

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While the neuroscience of sleep has traditionally been studied using electroencephalography (EEG), newer technologies have allowed for an enriched understanding of the brain’s ongoing activity during transitions into sleep, as well as during the distinct stages of sleep observed in humans. Neuroimaging techniques such as magnetic resonance imaging (MRI), functional MRI (fMRI), voxel-based morphometry (VBM), diffusion tensor imaging (DTI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), and single-photon emission computed tomography (SPECT) allow researchers a window
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Duron, Loïc, Augustin Lecler, Dragos Catalin Jianu, Raphaël Sadik, and Julien Savatovsky. "Imaging of Vascular Aphasia." In Aphasia Compendium [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.101581.

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Brain imaging is essential for the diagnosis of acute stroke and vascular aphasia. Magnetic resonance imaging (MRI) is the modality of choice for the etiological diagnosis of aphasia, the assessment of its severity, and the prediction of recovery. Diffusion weighted imaging is used to detect, localize, and quantify the extension of the irreversibly injured brain tissue called ischemic core. Perfusion weighted imaging (from MRI or CT) is useful to assess the extension of hypoperfused but salvageable tissue called penumbra. Functional imaging (positron emission tomography (PET), functional MRI (
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Tripoliti, Evanthia E., Dimitrios I. Fotiadis, and Konstantia Veliou. "Diffusion Tensor Imaging and Fiber Tractography." In Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-314-2.ch015.

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Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging (MRI) modality which can significantly improve our understanding of the brain structures and neural connectivity. DTI measures are thought to be representative of brain tissue microstructure and are particularly useful for examining organized brain regions, such as white matter tract areas. DTI measures the water diffusion tensor using diffusion weighted pulse sequences which are sensitive to microscopic random water motion. The resulting diffusion weighted images (DWI) display and allow quantification of how water diffuses along a
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Veluchamy, Manikandasamy. "Neuroimaging in Neonates: Newer Insights." In Neuroimaging - New Insights [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109479.

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Neuroimaging plays a key role in management of critically ill neonates with neurological problems. Magnetic Resonance Imaging (MRI) is the most commonly used neuroimaging modality in evaluation of neonatal encephalopathy, because MRI provides better image quality and accurate delineation of the lesion. Newer modalities of MRI like Diffusion Weighted Imaging (DWI), Diffusion Tensor Imaging (DTI) are useful in identifying the brain lesion and also in predicting the neurodevelopmental outcome. Magnetic Resonance Angiography (MRA) and Magnetic Resonance Venography (MRV) are used to assess the cere
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Hiu-Fai Chan, Germaine. "Perspective Chapter: Functional Human Brain Connectome in Deep Brain Stimulation (DBS) for Parkinson’s Disease (PD)." In Advances in Electroencephalography and Brain Connectome [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109855.

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Historically, the success of DBS depends on the accuracy of electrode localization in neuroanatomical structures. With time, diffusion-weighted magnetic resonance imaging (MRI) and functional MRI have been introduced to study the structural connectivity and functional connectivity in patients with neurodegenerative disorders such as PD. Unlike the traditional lesion-based stimulation theory, this new network stimulation theory suggested that stimulation of specific brain circuits can modulate the pathological network and restore it to its physiological state, hence causing normalization of hum
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Camacho, Paul B., Ramsey R. Wilcox, Aron K. Barbey, and Bradley P. Sutton. "Microstructural Plasticity." In The Oxford Handbook of Cognitive Enhancement and Brain Plasticity. Oxford University Press, 2025. https://doi.org/10.1093/oxfordhb/9780197677131.013.11.

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Abstract This chapter explores the study of plasticity of white matter microstructural and structural connectivity of the brain. Diffusion-weighted magnetic resonance imaging provides an in vivo method for modeling changes to the white matter that affect critical communication between brain regions. As described here, the diffusion tensor imaging model provided useful insights into this plasticity and built the foundation for tractography and structural connectivity. However, the limitations of this model are now well known, and new methods seek to provide better approximations of underlying t
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Conference papers on the topic "Brain, Magnetic Resonance Imaging, Neuroscience, Diffusion-weighted MRI"

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Celis A., Juan S., Nelson F. Velasco T., Julio E. Villalon-Reina, Paul M. Thompson, and Eduardo Romero C. "Bayesian super-resolution in brain diffusion weighted magnetic resonance imaging (DW-MRI)." In 12th International Symposium on Medical Information Processing and Analysis, edited by Eduardo Romero, Natasha Lepore, Jorge Brieva, and Ignacio Larrabide. SPIE, 2017. http://dx.doi.org/10.1117/12.2256918.

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Wu, Xuehai, John G. Georgiadis, and Assimina A. Pelegri. "Brain White Matter Model of Orthotropic Viscoelastic Properties in Frequency Domain." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-12182.

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Abstract Finite element analysis is used to study brain axonal injury and develop Brain White Matter (BWM) models while accounting for both the strain magnitude and the strain rate. These models are becoming more sophisticated and complicated due to the complex nature of the BMW composite structure with different material properties for each constituent phase. State-of-the-art studies, focus on employing techniques that combine information about the local axonal directionality in different areas of the brain with diagnostic tools such as Diffusion-Weighted Magnetic Resonance Imaging (Diffusion
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Corrêa, Vitor Guimarães, Diego Silva Figueiredo, Rafael Guimarães Kanda, Guilherme Soares de Oliveira Wertheimer, Fabiano Reis, and Tania Aparecida Marchiori de Oliveira Cardoso. "A new presentation or a new disease? An acute leukoencephalopathy resembling Canavan’s." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.581.

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Case presentation: We describe the case of a 75-year-old female, with no past relevant comorbidities. The onset was of mental confusion and imbalance, within two weeks progressing to dysphonia, dysphagia and spastic quadriparesis. Brain MRI showed hyperintense T2/FLAIR (T2-weighted-FluidAttenuated Inversion Recovery) lesions in white matter, with cortical sparing, restricted diffusion and gadolinium enhancement. Demyelinating diseases and central nervous system lymphoma hypothesis were made. Two months later a brain biopsy was performed. Diffuse white matter vacuolar impairment was found and n
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Tan, X. Gary, Maria M. D’Souza, Subhash Khushu, et al. "Computational Modeling of Blunt Impact to Head and Correlation of Biomechanical Measures With Medical Images." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88026.

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Mild traumatic brain injury (TBI) is a very common injury to service members in recent conflicts. Computational models can offer insights in understanding the underlying mechanism of brain injury, which can aid in the development of effective personal protective equipment. This paper attempts to correlate simulation results with clinical data from advanced techniques such as magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), MR spectroscopy and susceptibility weighted imaging (SWI), to identify TBI related subtle alterations in brain morphology, function a
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