Cathepsin D deficiency induces cytoskeletal changes and affects cell migration pathways in the brain.

Cathepsin D deficiency is a fatal neurodegenerative disease characterized by extreme loss of neurons and myelin. Our previous studies have demonstrated that structural and functional alterations in synapses are central to the disease pathogenesis. Therefore, we took a systematic approach to examine the synaptic proteome in cathepsin D knock-out mice, where the synaptic pathology resembles that of human patients. We applied quantitative mass spectrometry analysis on synaptosomal fractions isolated from cathepsin D knock-out and control mice at the age of 24 days. From the approximately 600 identified proteins, 43 were present in different amounts (P<0.05, measured in triple biological replicates) in cathepsin D knock-out mice compared to controls. We connected and bridged these 43 proteins using protein interaction data, and overlaid the network with brain specific gene expression information. Subsequently, we superimposed the network with Gene Ontology, pathway, phenotype and disease involvement, allowing construction of a dynamic, disease-protein centered network and prediction of functional modules. The measured changes in the protein levels, as well as some of the bioinformatically predicted ones, were confirmed by quantitative Western blotting or qualitative immunohistochemistry. This combined approach indicated alterations in distinct cellular entities, previously not associated with the disease, and including microtubule associated cytoskeleton and cell projection organization. Cell spreading and wound healing assays confirmed strongly compromised spatial orientation, associated with changes in distribution of focal adhesions and integrin assembly, in cathepsin D deficient cells. These changes might contribute to commencement of synaptic alterations and neuronal degeneration observed in cathepsin D deficiency.

The functional role of the ventral premotor cortex in a visually paced finger tapping task: a TMS study.

The accurate control of timed actions is a fundamental aspect of our daily activities. Repetitive movements can be either self-paced or synchronized with an external stimulus. Finger tapping (FT) is a suitable task to study the mechanisms of motor timing in both conditions. The neuronal network supporting motor timing in FT tasks comprises the lateral cerebellum, the lateral and mesial premotor areas as well as parietal sites. It has been suggested that lateral premotor cortices (PMC) are involved in time representation and sensorimotor transformations needed for synchronization. Most studies have focused on the dorsal aspect of PMC (dPMC) whereas the ventral PMC (vPMC) function has been poorly investigated. Here we used an online transcranial magnetic stimulation (TMS) protocol to probe the role of vPMC in an FT task, as compared to a functionally relevant site (dPMC) and an unrelated one. According to the synchronization-continuation paradigm, subjects had to synchronize their tapping to a periodic continuous visual stimulus, and then continue without the external pacer. Two different visual pacers were used: a tapping finger and a hinged tilting bar. We show that TMS reduced the synchronization error when delivered to the vPMC. This effect was larger when the more abstract hinged tilting bar was used as a pacer instead of the finger. No effects were observed in the continuation phase. We hereby offer the first online-TMS evidence of the involvement of vPMC in visually cued FT tasks.

Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis.

We present two techniques utilizing independent component analysis (ICA) to remove large muscle artifacts from transcranial magnetic stimulation (TMS)-evoked EEG signals. The first one is a novel semi-automatic technique, called enhanced deflation method (EDM). EDM is a modification of the deflation mode of the FastICA algorithm; with an enhanced independent component search, EDM is an effective tool for removing the large, spiky muscle artifacts. The second technique, called manual method (MaM) makes use of the symmetric mode of FastICA and the artifactual components are visually selected by the user. In order to evaluate the success of the artifact removal methods, four different quality parameters, based on curve comparison and frequency analysis, were studied. The dorsal premotor cortex (dPMC) and Broca's area (BA) were stimulated with TMS. Both methods removed the very large muscle artifacts recorded after stimulation of these brain areas. However, EDM was more stable, less subjective, and thus also faster to use than MaM. Until now, examining lateral areas of the cortex with TMS-EEG has been restricted because of strong muscle artifacts. The methods described here can remove those muscle artifacts, allowing one to study lateral areas of the human brain, e.g., BA, with TMS-EEG.