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Till-Karsten Hauser

Publications and source records attributed to Till-Karsten Hauser.

4 recordsLinked to original sources

Visualization and quantification of disease progression in multiple system atrophy.

To visualize and quantify disease progression in multiple system atrophy (MSA) from cerebellar type (MSA-C), we combined two magnetic resonance imaging (MRI) techniques, voxel-based morphometry (VBM) and 3D-based volumetry. Patients suffering from MSA-C (n = 14) were imaged twice with an interval of 2.0 +/- 0.2 years. We first applied VBM to map brain morphology changes between MSA patients and controls and to identify brain areas that showed a significant amount of atrophy. Using 3D-based volumetry, we confirmed that in MSA-C patients, the brainstem including medulla and pons, vermis and cerebellar hemispheres, caudate nucleus and putamen showed significant atrophy compared with controls. Next, we used 3D-based volumetry to analyze the atrophy rates. Atrophy rates in patients with MSA were significantly different from controls for putamen (-11.4% +/- 2.6%/year), vermis (-12.3% +/- 2.9%/year), and cerebellar hemispheres (-6.6% +/- 1.1%/year). The results show that 3D-based MRI volumetry is a tool that allows the disease progression of MSA to be followed over a time period of 2 years and suggest that it may serve as a surrogate marker in clinical trials to measure disease progression.

Aged↗

Magnetic resonance imaging-based volumetry differentiates progressive supranuclear palsy from corticobasal degeneration.

Because there are no biological markers for the clinical diagnosis of progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD), we established a mathematical model based on three-dimensional magnetic resonance (MR) imaging to differentiate between these parkinsonian disorders. Using MR imaging-based volumetry we studied the pattern of atrophic changes in patients with probable, possible or definite PSP (n = 33) or CBD (n = 18). Patients were compared with 22 controls with similar age. To establish a mathematical model that would allow for differentiation of PSP, CBD and controls we performed a discriminant analysis. We found a significant reduction in average brain, brainstem, midbrain and frontal gray matter volumes in patients with PSP, whereas patients with CBD showed atrophy of parietal cortex and corpus callosum. With the exception of reduced midbrain volumes in PSP, the measured volumes of anatomical structures showed an extensive overlap with the normal range on an individual basis. Using only post mortem confirmed cases of PSP (n = 8) and CBD (n = 7) as well as all controls, the volumes of midbrain, parietal white matter, temporal gray matter, brainstem, frontal white matter and pons were identified to separate best between groups and were used to construct a model with two canonical variables. This model allowed to correctly predict the diagnosis in 95% of controls as well as in 76% of all PSP and 83% of all CBD patients. Similar results were obtained only when patients with a possible and probable diagnosis of PSP and CBD, who were not involved in the development of the discriminant analysis, were classified. 3D-MR imaging-based volumetry may help to differentiate PSP from CBD ante mortem.

Aged↗

Modulation of rodent cortical motor excitability by somatosensory input.

It is assumed that somatosensory input is required for motor learning and recovery from focal brain injury. In rodents and other mammals, corticocortical projections between somatosensory and motor cortices are modified by patterned input. Whether and how motor cortex function is modulated by somatosensory input to support motor learning is largely unknown. Recent human evidence suggests that input changes motor excitability. Using transcranial magnetic stimulation (TMS), this study tested whether motor cortex excitability is affected by patterned somatosensory stimulation in rodents. Motor potentials evoked in gastrocnemius muscles in response to TMS (MEP(TMS)) and to cervical electrical stimulation (MEP(CES)) were recorded bilaterally. Initially, the first negative peak of the MEP(TMS) was identified as a cortical component because it disappeared after decortication in three animals. Subsequently, we studied the effects of 2 h of electrical stimulation of one sciatic nerve on the cortical component of the MEP(TMS), i.e., on motor cortex excitability. After stimulation, its amplitude increased by 117 +/- 45% ( P<0.01) in the stimulated limb. A significantly smaller effect was found in the unstimulated limb ( P<0.02) and no effect was observed in unstimulated control animals. The subcortically evoked MEP(CES) were not affected by stimulation. It is concluded that somatosensory input increases motor excitability in rat. This increase outlasts the stimulation period and is mediated by supraspinal structures, likely motor cortex. Modulation of motor cortex excitability by somatosensory input may play a role in motor learning and recovery from lesion.

Action Potentials↗

Comparing brain activation associated with isolated upper and lower limb movement across corresponding joints.

It was shown recently that functional activation across brain motor areas during locomotion and foot movements are similar but differ substantially from activation related to upper extremity movement (Miyai [2001]: Neuroimage 14:1186-1192). The activation pattern may be a function of the behavioral context of the movement rather than of its mechanical properties. We compare motor system activation patterns associated with isolated single-joint movement of corresponding joints in arm and leg carried out in equal frequency and range. Eleven healthy volunteers underwent BOLD-weighted fMRI while performing repetitive elbow or knee extension/flexion. To relate elbow and knee activation to the well-described patterns of finger movement, serial finger-to-thumb opposition was assessed in addition. After identifying task-related voxels using statistical parametric mapping, activation was measured in five regions of interest (ROI; primary motor [M1] and somatosensory cortex [S1], premotor cortex, supplementary motor area [SMA] divided into preSMA and SMA-proper, and cerebellum). Differences in the degree of activation across ROIs were found between elbow and knee movement. SMA-proper activation was prominent for knee, but almost absent for elbow movement (P < 0.05); finger movement produced small but constant SMA-proper activation. Ipsilateral M1 activation was detected during knee and finger movement, but was absent for the elbow task (P < 0.05). Knee movement showed less lateralization in M1 and S1 than other tasks (P < 0.05). The data demonstrate that central motor structures contribute differently to isolated elbow and knee movement. Activation during knee movement shows similarities to gait-related activation patterns.

Adult↗