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1

Introduction to diffusion tensor imaging. Elsevier, 2006.

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2

Stieltjes, Bram, Romuald M. Brunner, Klaus H. Fritzsche, and Frederik B. Laun. Diffusion Tensor Imaging. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-20456-2.

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3

Van Hecke, Wim, Louise Emsell, and Stefan Sunaert, eds. Diffusion Tensor Imaging. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3118-7.

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4

Moritani, Toshio, Sven Ekholm, and Per-Lennart Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78785-3.

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5

Luna, A. Diffusion MRI outside the brain: A case-based review and clinical applications. Springer, 2012.

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6

service), ScienceDirect (Online, ed. Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. Elsevier/Academic Press, 2009.

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7

Moritani, Toshio, and Aristides A. Capizzano, eds. Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62120-9.

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8

Wilde, Elisabeth A., Kareem W. Ayoub, and Asim F. Choudhri. Diffusion Tensor Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.10.

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Diffusion tensor imaging (DTI) is a method of specifying and visualizing the functional integrity of white matter tracts that contribute to the functional and structural connectivity among different brain regions through the examination of water diffusion through tissue. It has gained rapid popularity in the past two decades, particularly for elucidating the process of normal white matter development and the effects of aging on it, as well as providing some insights into the possible neuroanatomical correlates of numerous psychiatric and neurologic disorders. This chapter outlines the instrume
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9

Mori, S. Introduction to Diffusion Tensor Imaging. Elsevier Science, 2007.

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10

Fritzsche, Klaus, Bram Stieltjes, Romuald M. Brunner, and Frederik Laun. Diffusion Tensor Imaging: Introduction and Atlas. Springer, 2012.

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11

Fritzsche, Klaus, Bram Stieltjes, Romuald M. Brunner, and Frederik Laun. Diffusion Tensor Imaging: Introduction and Atlas. Springer, 2017.

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12

Castillo, Mauricio, and Claudia da Costa Leite. Diffusion Weighted and Diffusion Tensor Imaging: A Clinical Guide. Thieme Medical Publishers, Incorporated, 2016.

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13

Mori, Susumu, and J.-Donald Tournier. Introduction to Diffusion Tensor Imaging: And Higher Order Models. Elsevier Science & Technology Books, 2013.

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14

Gorman, Jack M. Brain Imaging. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190850128.003.0005.

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The blood–brain barrier vigorously limits what can get into and out of the brain, making our ability to understand brain function much more difficult than with any other organ in the body. The modern era of brain imaging began about a half-century ago with the introduction of computed axial tomography (CAT) and magnetic resonance imaging (MRI). Although CAT scanning shows brain structure in great detail and revolutionized the precision of medical diagnosis, including of brain disorders, it has had relatively little impact on psychiatry because most psychiatric illnesses do not involve visible
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15

L, Ulmer John, ed. White matter in cognitive neuroscience: Advances in diffusion tensor imaging and its applications. New York Academy of Sciences, 2005.

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16

Papanicolaou, Andrew C., ed. The Oxford Handbook of Functional Brain Imaging in Neuropsychology and Cognitive Neurosciences. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.001.0001.

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A large part of the contemporary literature involves functional neuroimaging. Yet few readers are sufficiently familiar with the various imaging methods, their capabilities and limitations, to appraise it correctly. To fulfill that need is the purpose of this Handbook, which consists of an accessible description of the methods and their clinical and research applications. The Handbook begins with an overview of basic concepts of functional brain imaging, magnetoencephalography and the use of magnetic source imaging (MSI), positron emission tomography (PET), diffusion tensor imaging (DTI), and
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17

Moseley, Michael, John Gabrieli, and Lawrence Parsons. White Matter in Cognitive Neuroscience: Advances in Diffusion Tensor Imaging and Its Applications (Annals of the New York Academy of Sciences). Blackwell Publishing Limited, 2005.

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18

Boedhoe, Premika S. W., and Odile A. van den Heuvel. The Structure of the OCD Brain. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0023.

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This chapter summarizes the most consistent findings of structural neuroimaging studies of obsessive-compulsive disorder (OCD), and discusses their relationship within the implicated brain networks. The techniques used in these studies are diverse, and include manual tracing of specific regions of interest, whole-brain voxel-based morphometry (VBM) for both gray matter and white matter volume comparisons, FreeSurfer to investigate differences in cortical thickness and subcortical volumes, and other methods such as covariance analyses. Findings on white matter integrity with tract-based spatial
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19

Cooley's Anemia Symposium 2005 Lake Buen and Elliott P. Vichinsky. White Matter in Cognitive Neurosciences (Annals of the New York Academy of Sciences). New York Academy of Sciences, 2006.

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20

Introduction to Diffusion Tensor Imaging. Elsevier, 2014. http://dx.doi.org/10.1016/c2011-0-07607-x.

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21

Introduction to Diffusion Tensor Imaging. Elsevier, 2007. http://dx.doi.org/10.1016/b978-0-444-52828-5.x5014-5.

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22

Sunaert, Stefan, Wim Van Hecke, and Louise Emsell. Diffusion Tensor Imaging: A Practical Handbook. Springer, 2015.

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23

Rouw, Romke. Synesthesia, Hyper-Connectivity, and Diffusion Tensor Imaging. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199603329.013.0025.

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24

Passaro, Antony, Foteini Christidi, Vasiliki Tsirka, and Andrew C. Papanicolaou. White Matter Connectivity. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.5.

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The applications of diffusion tensor imaging (DTI) have increased considerably among both normal and diverse neuropsychiatric populations in recent years. In this chapter, the authors examine the contributions of DTI in identifying profiles of trait-specific connectivity in several groups defined in terms of gender, age, handedness, and general intelligence. Additionally, the DTI literature is reviewed across a range of neurodegenerative disorders including Alzheimer’s disease, mild cognitive impairment, frontotemporal dementia, Parkinson disease, multiple sclerosis, and acquired neurological
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25

P. -L Westesson,T. Moritani,S. Ekholm. Diffusion-Weighted MR Imaging of the Brain. Springer, 2009.

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26

P. -L Westesson,T. Moritani,S. Ekholm. Diffusion-Weighted MR Imaging of the Brain. Springer, 2008.

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27

Moritani, T., S. Ekholm, and P. L. Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer, 2005.

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28

Moritani, Toshio, Sven Ekholm, and Per-Lennart A. Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer, 2010.

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29

Diffusion-Weighted MR Imaging of the Brain. Springer, 2009.

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30

Diffusion-Weighted MR Imaging of the Brain. Springer-Verlag, 2005. http://dx.doi.org/10.1007/b137507.

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31

Diffusion-Weighted MR Imaging of the Brain. Springer, 2004.

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32

K, Jones Derek, ed. Diffusion MRI: Theory, methods, and application. Oxford University Press, 2010.

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33

Gardner, Andrew, Grant L. Iverson, Paul van Donkelaar, Philip N. Ainslie, and Peter Stanwell. Magnetic Resonance Spectroscopy, Diffusion Tensor Imaging, and Transcranial Doppler Ultrasound Following Sport-Related Concussion. Edited by Ruben Echemendia and Grant L. Iverson. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199896585.013.12.

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Sport-related concussion has been referred to as a functional rather than a structural injury with neurometabolic and microstructural alterations reported in several studies. Accordingly, conventional neuroimaging techniques, such as computed tomography (CT) and structural magnetic resonance imaging (MRI), have limited value beyond ruling out structural injury such as a contusion or hemorrhage. This chapter presents a review of three neuroimaging techniques that offer insight into the connectivity and neurometabolic consequences of concussion. A number of studies have now been published using
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34

Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Elsevier Science & Technology Books, 2013.

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35

Clinical Applications of Diffusion Imaging of the Brain, an Issue of Neuroimaging Clinics. Elsevier - Health Sciences Division, 2011.

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36

R. Nuri, M.d. Sener. MRI of the Pediatric Brain: Uncommon Disorders, Proton Mr Spectroscopy, Diffusion MRI. Warren H. Green, 2003.

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37

Konrad, Kerstin, Adriana Di Martino, and Yuta Aoki. Brain volumes and intrinsic brain connectivity in ADHD. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0006.

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Neuroimaging studies have increased our understanding of the neurobiological underpinnings of ADHD. Structural brain imaging studies demonstrate widespread changes in brain volumes, in particular in frontal-striatal-cerebellar networks. Based on the widespread nature of structural and functional brain abnormalities, approaches able to capture the organizing principles of large-scale neural systems have been used in ADHD. These include diffusion magnetic resonance imaging (MRI) and resting state functional MRI (R-fMRI). Complementary to findings of volumetric studies, diffusion investigations h
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38

Cohen-Inbar, Or, Daniel M. Trifiletti, and Jason P. Sheehan. Stereotatic Radiosurgery and Microsurgery for Brain Metastases. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190696696.003.0024.

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This chapter describes the case of a patient with brain metastases due to metastatic breast cancer. MRI is the best imaging modality for visualizing brain metastases, and advanced techniques such as perfusion imaging and diffusion weighted imaging may provide important additional information beyond standard anatomic imaging. Patients with brain metastases due to systemic cancer may benefit from targeted therapies such as surgery and stereotactic radiosurgery. Understanding the differences between radiation modalities such as stereotactic radiosurgery and whole brain radiotherapy is important f
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39

Krause-Utz, Annegret, Inga Niedtfeld, Julia Knauber, and Christian Schmahl. Neurobiology of Borderline Personality Disorder. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199997510.003.0006.

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In this chapter, neuroimaging findings in BPD are discussed referring to the three core domains of BPD psychopathology: disturbed emotion processing and emotion dysregulation (including dissociation and altered pain processing), behavioral dysregulation and impulsivity, and interpersonal disturbances. Experimental approaches investigating BPD psychopathology on the subjective, behavioral, and neurobiological levels have become increasingly important for an improved understanding of BPD. Over the past decades, neuroimaging has become one of the most important tools in clinical neurobiology. Neu
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40

South, Mikle, John D. Herrington, and Sarah J. Paterson. Neuroimaging in Autism Spectrum Disorders. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199744312.003.0003.

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This chapter reviews several major themes in the neuroimaging of ASDs to date (see summary of representative themes in Table 3.1), including substantial and essential contributions from the modular framework. The chapter begins, however, with a discussion of several challenges related to the diversity of ASDs in terms of factors such as age, level of functioning, and symptom presentation. Progress in the ability to identify more homogenous subgroups, based on targeted phenotypic measures, opens the door to link neuroimaging with genetics findings and also with treatment outcome data. This shou
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41

Bandettini, Peter A., and Hanzhang Lu. Magnetic Resonance Methodologies. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0008.

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Magnetic resonance imaging is a noninvasive tool for assessing brain anatomy, perfusion, metabolism, and function with precision. In this chapter, the basics and the most cutting edge examples of MRI-based measures are described. The first is measurement of cerebral perfusion, including the latest techniques involving spin-labelling as well as the tracking of exogenous contrast agents. Functional MRI is then discussed, along with some of the cutting edge methodology that has yet to make it into routine clinical practice. Next, resting state fMRI is described, a powerful technique whereby the e
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42

Diaz, Roberto Jose, Gregory W. Basil, and Ricardo J. Komotar. Primary CNS Lymphoma. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190696696.003.0008.

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Central nervous system (CNS) lymphoma must be considered in the differential diagnosis of any immunocompromised patient with a solid brain lesion. In such patients, diagnosis can be made via a careful review of important signs, symptoms, and classic radiologic findings. While there is no single physical exam finding classic for lymphoma, the clinician must carefully evaluate patients for the presence or absence of findings that may suggest an alternative diagnosis. Such findings include the stigmata of endocarditis, symptoms suggestive of pneumonia, or additional non-CNS mass lesions. Addition
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