Log in

Relevant bibliographies by topics / Diffusion tendor imaging / Books

To see the other types of publications on this topic, follow the link: Diffusion tendor imaging.

Books on the topic 'Diffusion tendor imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 23 books for your research on the topic 'Diffusion tendor imaging.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Introduction to diffusion tensor imaging. Amsterdam: Elsevier, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

Abstract:

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 instrumentation and the procedures employed in deriving estimates of the functional integrity of anatomical connections in the brain, and issues regarding the reliability and validity of the different DTI procedures are systematically addressed.

APA, Harvard, Vancouver, ISO, and other styles

5

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

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

Full text

Abstract:

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 abnormalities of the size, shape, or volume of brain structures. Similarly, although we have gained some insights from structural MRI, it primarily shows us the anatomy of the brain. Three other variants of MRI, however, have been extremely useful in studying psychiatric issues: functional magnetic resonance imaging, diffusion tensor imaging, and magnetic resonance spectroscopy.

APA, Harvard, Vancouver, ISO, and other styles

15

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

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.

Full text

Abstract:

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 magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI)/diffusion-weighted imaging, and transcranial Doppler ultrasound (TCD) with varying findings. The results of these studies will be presented, together with current and possible future application of these techniques within the field of sport-related concussion.

APA, Harvard, Vancouver, ISO, and other styles

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.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

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.

Full text

Abstract:

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. Neuroimaging includes a broad spectrum of methods such as positron emission tomography (PET), structural and functional magnetic resonance imaging (fMRI), MR spectroscopy, and diffusion tensor imaging (DTI).

APA, Harvard, Vancouver, ISO, and other styles

19

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.

Full text

Abstract:

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 transcranial magnetic stimulation (TMS). The authors then discuss the various research applications of imaging, such as white matter connectivity; the function of the default mode network; the possibility and the utility of imaging of consciousness; the search for mnemonic traces of concepts the mechanisms of the encoding, consolidation, and retrieval of memories; executive functions and their neuroanatomical mechanisms; voluntary actions, human will and decision-making; motor cognition; language and the mechanisms of affective states and pain. The final chapter discusses the uses of functional neuroimaging in the presurgical mapping of the brain.

APA, Harvard, Vancouver, ISO, and other styles

20

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.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

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.

Full text

Abstract:

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 should lead to better understanding of both the causes of ASDs and the best approaches to intervention. The chapter is divided according to two broad, related themes related to social information processing and cognitive factors in ASDs. Within these themes, the chapter considers evidence from both structural and functional imaging studies as well as relatively newer approaches to connectivity, including diffusion tensor imaging. The primary focus of this chapter is on research utilizing functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Although several early neuroimaging studies utilized positron emission tomography scanning, these studies are rare now and are not addressed in depth. New techniques such as near-infrared spectroscopy suggest tremendous promise for noninvasive imaging of expanded age groups and severity levels of ASDs; however, these studies are also few in number and are touched on only briefly.

APA, Harvard, Vancouver, ISO, and other styles

22

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.

Full text

Abstract:

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 disorders resulting from neuronal injury such as traumatic brain injury, aphasia, agnosia, amnesia, and apraxia. DTI metrics sensitive to psychiatric disorders encompassing obsessive-compulsive disorder, depression, bipolar disorder, schizophrenia, and alcoholism are reviewed. Future uses of DTI as a promising means of confirming diagnoses and identifying in vivo early microstructural changes of patients’ clinical symptoms are discussed.

APA, Harvard, Vancouver, ISO, and other styles

23

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.

Full text

Abstract:

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 statistics (TBSS) and in diffusion tensor imaging (DTI) studies are discussed as well.The literature shows that the pathophysiology of OCD cannot be explained by alterations in function and structure of the classical cortico-striato-thalamo-cortical (CSTC) regions exclusively, but that fronto-limbic and fronto-parietal connections are important as well, and the role of the cerebellum needs more attention in future research.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!