Evidence for early, non-lesional cerebellar damage in patients with multiple sclerosis: DTI measures correlate with disability, atrophy, and disease duration

Deppe, Michael; Tabelow, Karsten; Krämer, Julia; Tenberge, Jan-Gerd; Schiffler, Patrick; Bittner, Stefan; Schwindt, Wolfram; Zipp, Frauke; Wiendl, Heinz; Meuth, Sven G.

doi:10.1177/1352458515579439

Cited by 43 publications

(51 citation statements)

References 32 publications

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“…It seems that the FA captures the thalamic microstructural damage better than the MD. Many studies could show that the FA is well suited to assess microstructural abnormalities in both gray and white matter [21,37,38]. Future studies are necessary to examine if FA or MD is more suitable to evaluate microstructural alterations of gray and white matter structures.…”

Section: Resultsmentioning

confidence: 99%

Recovery of thalamic microstructural damage after Shiga toxin 2-associated hemolytic–uremic syndrome

Krämer

Deppe

Göbel

et al. 2015

Journal of the Neurological Sciences

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Section: Resultsmentioning

confidence: 99%

Recovery of thalamic microstructural damage after Shiga toxin 2-associated hemolytic–uremic syndrome

Krämer

Deppe

Göbel

et al. 2015

Journal of the Neurological Sciences

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“…Recent studies on patients with multiple sclerosis demonstrated thalamic atrophy even in the earliest stage of the disease (Krämer et al, 2015; Deppe et al, 2016). However, until now it remained unclear to which degree the thalamic volume loss is associated with modality specific white matter alterations.…”

Section: Discussionmentioning

confidence: 99%

“…The analysis of micro structural white matter properties has become increasingly important, especially in multiple sclerosis research (Deppe et al, 2007, 2014, 2016). There are several techniques such as diffusion-weighted magnet resonance imaging (DWI) that are sensitive to white matter alterations that cannot be assessed by conventional MRI.…”

Section: Introductionmentioning

confidence: 99%

Cortex Parcellation Associated Whole White Matter Parcellation in Individual Subjects

Schiffler

Tenberge

Wiendl

et al. 2017

Front. Hum. Neurosci.

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The investigation of specific white matter areas is a growing field in neurological research and is typically achieved through the use of atlases. However, the definition of anatomically based regions remains challenging for the white matter and thus hinders region-specific analysis in individual subjects. In this article, we focus on creating a whole white matter parcellation method for individual subjects where these areas can be associated to cortex regions. This is done by combining cortex parcellation and fiber tracking data. By tracking fibers out of each cortex region and labeling the fibers according to their origin, we populate a candidate image. We then derive the white matter parcellation by classifying each white matter voxel according to the distribution of labels in the corresponding voxel from the candidate image. The parcellation of the white matter with the presented method is highly reliable and is not as dependent on registration as with white matter atlases. This method allows for the parcellation of the whole white matter into individual cortex region associated areas and, therefore, associates white matter alterations to cortex regions. In addition, we compare the results from the presented method to existing atlases. The areas generated by the presented method are not as sharply defined as the areas in most existing atlases; however, they are computed directly in the DWI space of the subject and, therefore, do not suffer from distortion caused by registration. The presented approach might be a promising tool for clinical and basic research to investigate modalities or system specific micro structural alterations of white matter areas in a quantitative manner.

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“…Previous studies in MS have shown significant correlation between cognitive status and CC microstructure. [11,[36][37][38] There has been also studies about the relationship between CC involvement's patterns and prognosis of MS. [7][8][9][10][11] Most of them showed that the damage to white matter network especially CC contributes to the reduced processing speed in task specific abilities. [39] A significant increase in CC's MD was observed in relapsing remitting MS, even in benign form.…”

Section: As a Prognosis Indicatormentioning

confidence: 99%

“…This can play a keyrole to help determine the outcome of the disease and also their response to possible routine therapies. [7][8][9][10][11] In this article, we review different aspects of imaging and involvement patterns of CC in various CNS demyelinating disorders to determine more helpful ways of discrimination of such diseases and also, to demonstrate the role of white matter lesions (particularly in CC) in evaluation of prognosis of these demyelinating disorders. [12][13][14][15][16] To our knowledge there was no article previously, discussing and comparing CC features in different CNS demyelinating disorders similar to ours.…”

Section: Introductionmentioning

confidence: 99%

Neuroimaging of corpus callosum in central nervous system demyelinating disorders

Etemadifar¹,

Neshatfar²,

Zamani³

et al. 2017

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Corpus callosum (CC) is the largest white matter structure in the brain, consisting of 200-250 million contralateral axonal projections. It is the major commissural pathway connecting the hemispheres of human brain. The pathology of CC includes wide variety of entities that arise from different causes such as congenital, inflammatory, tumoral, degenerative, infectious, etc. This study reviews the most reliable neuroimaging data of human CC in central nervous system (CNS) demyelinating diseases to facilitate the understanding of different pathological entities of the CC and their role in anticipation of probable prognostic findings. After a brief description of normal anatomy and functions of CC, this review examines the most valuable findings obtained using conventional and functional magnetic resonance imaging. It also demonstrates the most well organized findings of how CC features influence prognostic factors of demyelinating disorders, which could have a great value for choosing proper therapy methods. The authors also provided a brief review of other demyelinating disorders which are primarily caused by other pathological factors other than autoimmunity. As a conclusion, the authors showed the importance of CC as an critical part of the brain, which should be explored by different methods of imaging, correspondent to clinical evaluation of CNS demyelinating disorder to widen our knowledge on pathology and clinical patterns of such disorders. Key words:Corpus callosum, central nervous system, demyelinating diseases, neuroimaging, review ABSTRACTArticle history:

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Evidence for early, non-lesional cerebellar damage in patients with multiple sclerosis: DTI measures correlate with disability, atrophy, and disease duration

Abstract: "Normal appearing" cerebellar white matter can be damaged in a very early stage of RRMS. DTI seems to be a sensitive tool for detecting this hidden cerebellar damage.

Cited by 43 publications

References 32 publications

Recovery of thalamic microstructural damage after Shiga toxin 2-associated hemolytic–uremic syndrome

Recovery of thalamic microstructural damage after Shiga toxin 2-associated hemolytic–uremic syndrome

Cortex Parcellation Associated Whole White Matter Parcellation in Individual Subjects

Neuroimaging of corpus callosum in central nervous system demyelinating disorders

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