Multimodality in Functional Neuroimaging

Kassubek, Jan; Müller, Hans‐Peter; Juengling, Freimut D.

doi:10.1007/978-3-662-45123-6_10

Cited by 2 publications

(1 citation statement)

References 133 publications

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“…Various technical approaches such as fMRI techniques, DTI, MRS, positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetoencephalography (MEG) with options of useful combinations are in clinical use (e.g. 47,48,49 ).…”

Section: Discussionmentioning

confidence: 99%

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Müller

Kassubek

2013

JoVE

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Diffusion tensor imaging (DTI) techniques provide information on the microstructural processes of the cerebral white matter (WM) in vivo. The present applications are designed to investigate differences of WM involvement patterns in different brain diseases, especially neurodegenerative disorders, by use of different DTI analyses in comparison with matched controls.DTI data analysis is performed in a variate fashion, i.e. voxelwise comparison of regional diffusion direction-based metrics such as fractional anisotropy (FA), together with fiber tracking (FT) accompanied by tractwise fractional anisotropy statistics (TFAS) at the group level in order to identify differences in FA along WM structures, aiming at the definition of regional patterns of WM alterations at the group level. Transformation into a stereotaxic standard space is a prerequisite for group studies and requires thorough data processing to preserve directional interdependencies. The present applications show optimized technical approaches for this preservation of quantitative and directional information during spatial normalization in data analyses at the group level. On this basis, FT techniques can be applied to group averaged data in order to quantify metrics information as defined by FT. Additionally, application of DTI methods, i.e. differences in FA-maps after stereotaxic alignment, in a longitudinal analysis at an individual subject basis reveal information about the progression of neurological disorders. Further quality improvement of DTI based results can be obtained during preprocessing by application of a controlled elimination of gradient directions with high noise levels.In summary, DTI is used to define a distinct WM pathoanatomy of different brain diseases by the combination of whole brain-based and tractbased DTI analysis. Video LinkThe video component of this article can be found at

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Section: Discussionmentioning

confidence: 99%

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Müller

Kassubek

2013

JoVE

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Computer-based magnetic resonance imaging as a tool in clinical diagnosis in neurodegenerative diseases

Kassubek

Müller

2016

Expert Review of Neurotherapeutics

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Magnetic resonance imaging (MRI) is one of the core elements within the differential diagnostic work-up of patients with neurodegenerative diseases such as dementia syndromes, Parkinsonian syndromes, and motor neuron diseases. Currently, computerized MRI analyses are not routinely used for individual diagnosis; however, they have improved the anatomical understanding of pathomorphological alterations in various neurodegenerative diseases by quantitative comparisons between patients and controls at the group level. For multiparametric MRI protocols, including T1-weighted MRI, diffusion-weighted imaging, and intrinsic functional connectivity MRI, the potential as a surrogate marker is a subject of investigation. The additional value of MRI with respect to diagnosis at the individual level and for future disease-modifying multicentre trials remains to be defined. Here, we give an overview of recent applications of multiparametric MRI to patients with various neurodegenerative diseases. Starting from applications at the group level, continuous progress of a transfer to individual diagnostic classification is ongoing.

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Multimodality in Functional Neuroimaging

Cited by 2 publications

References 133 publications

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Computer-based magnetic resonance imaging as a tool in clinical diagnosis in neurodegenerative diseases

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