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Your search keyword '"Müller, Hans‐Peter"' showing total 38 results
Start Over Author "Müller, Hans‐Peter" Publisher wiley
38 results on '"Müller, Hans‐Peter"'

36. Longitudinal brain atrophy distribution in advanced Parkinson's disease: What makes the difference in "cognitive status" converters?

Author

Gorges M, Kunz MS, Müller HP, Liepelt-Scarfone I, Storch A, Dodel R, Hilker-Roggendorf R, Berg D, Kalbe E, Braak H, Del Tredici K, Baudrexel S, Huppertz HJ, and Kassubek J

Subjects
Aged, Atlases as Topic, Atrophy, Cerebral Cortex diagnostic imaging, Cognitive Dysfunction pathology, Cognitive Dysfunction psychology, Dementia pathology, Dementia psychology, Disease Progression, Female, Follow-Up Studies, Humans, Linear Models, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Prospective Studies, Cognition, Parkinson Disease diagnostic imaging, Parkinson Disease psychology
Abstract

We investigated the brain atrophy distribution pattern and rate of regional atrophy change in Parkinson's disease (PD) in association with the cognitive status to identify the morphological characteristics of conversion to mild cognitive impairment (MCI) and dementia (PDD). T1-weighted longitudinal 3T MRI data (up to four follow-up assessments) from neuropsychologically well-characterized advanced PD patients (n = 172, 8.9 years disease duration) and healthy elderly controls (n = 85) enrolled in the LANDSCAPE study were longitudinally analyzed using a linear mixed effect model and atlas-based volumetry and cortical thickness measures. At baseline, PD patients presented with cerebral atrophy and cortical thinning including striatum, temporoparietal regions, and primary/premotor cortex. The atrophy was already observed in "cognitively normal" PD patients (PD-N) and was considerably more pronounced in cognitively impaired PD patients. Linear mixed effect modeling revealed almost similar rates of atrophy change in PD and controls. The group comparison at baseline between those PD-N whose cognitive performance remained stable (n = 42) and those PD-N patients who converted to MCI/PDD ("converter" cPD-N, n = 26) indicated suggested cortical thinning in the anterior cingulate cortex in cPD-N patients which was correlated with cognitive performance. Our results suggest that cortical brain atrophy has been already expanded in advanced PD patients without overt cognitive deficits while atrophy progression in late disease did not differ from "normal" aging regardless of the cognitive status. It appears that cortical atrophy begins early and progresses already in the initial disease stages emphasizing the need for therapeutic interventions already at disease onset., (© 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.)

Published
2020
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37. Intrinsic functional connectivity networks in healthy elderly subjects: a multiparametric approach with structural connectivity analysis.

Author

Gorges M, Müller HP, Ludolph AC, Rasche V, and Kassubek J

Subjects
Aged, Canada, Demography, Diffusion Tensor Imaging, Female, Humans, Imaging, Three-Dimensional, Male, Time Factors, Health, Nerve Net physiology
Abstract

Intrinsic functional connectivity magnetic resonance imaging (iFCMRI) provides an encouraging approach for mapping large-scale intrinsic connectivity networks (ICNs) in the "resting" brain. Structural connections as measured by diffusion tensor imaging (DTI) are a major constraint on the identified ICNs. This study aimed at the combined investigation of ten well-defined ICNs in healthy elderly subjects at single subject level as well as at the group level, together with the underlying structural connectivity. IFCMRI and DTI data were acquired in twelve subjects (68 ± 7 years) at a 3T scanner and were studied using the tensor imaging and fiber tracking software package. The seed-based iFCMRI analysis approach was comprehensively performed with DTI analysis, following standardized procedures including an 8-step processing of iFCMRI data. Our findings demonstrated robust ICNs at the single subject level and conclusive brain maps at the group level in the healthy elderly sample, supported by the complementary fiber tractography. The findings demonstrated here provide a methodological framework for future comparisons of pathological (e.g., neurodegenerative) conditions with healthy controls on the basis of multiparametric functional connectivity mapping.

Published
2014
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38. Complementary image analysis of diffusion tensor imaging and 3-dimensional t1-weighted imaging: white matter analysis in amyotrophic lateral sclerosis.

Author

Müller HP, Lulé D, Unrath A, Ludolph AC, Riecker A, and Kassubek J

Subjects
Adult, Aged, Anisotropy, Diffusion Tensor Imaging, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Amyotrophic Lateral Sclerosis pathology, Brain pathology, Image Processing, Computer-Assisted methods, Nerve Fibers, Myelinated pathology
Abstract

Introduction: in order to obtain detailed information on disease-associated changes in the integrity of cerebral white matter (WM), complementary image analysis (CIA) was applied to patients with amyotrophic lateral sclerosis (ALS) and controls., Methods: both diffusion tensor imaging and T1-weighted 3-dimensional data were analyzed with respect to WM microstructure and T1 signal intensity alterations, respectively, in a sample of 19 ALS patients. Covariate information was added in the form of clinical parameters. All results were obtained in one common analysis software environment (Tensor Imaging and Fiber Tracking)., Results: complementary analysis and display were performed for WM directionality and structure. Significant WM differences between ALS patients and controls were observed both in the motor system, that is, the bilateral corticospinal tracts, and in extramotor brain areas, in part correlating with clinical parameters. The performance of all analyses in one software environment enabled the synopsis of results obtained from various analyses., Discussion/conclusion: within the application of CIA to a neurodegenerative disease for the whole brain-based analysis of WM alterations together with clinical characteristics, it could be demonstrated that ALS was associated with WM changes within and outside the motor system.

Published
2011
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