Selected publications

 

The publications of Neurogeriatrics Kiel are available on Pubmed and Researchgate. Hereafter we will provide a short overview of selected research work.

  • SNPs in Aβ clearance proteins: Lower CSF Aβ1-42 levels and earlier onset of dementia in PD. Brockmann K, Lerche S, Dilger SS, Stirnkorb JG, Apel A, Hauser AK, Liepelt-Scarfone I, Berg D, Gasser T, Schulte C, Maetzler W. Neurology. 2017 Dec 5;89(23):2335-2340
    The article shows that Parkinson's patients have a genetic predisposition to have "Alzheimer's" dementia. This genetic predisposition lies in the area of ​​the degradation of substances that are increasingly produced in Alzheimer pathology. The work is important as it uses approaches to compare data within a group (genetic, biochemical, clinical data). We also use this type of data comparison in other projects. We consistently integrate data from the daily lives of study participants in other cohorts, .
  • Gait Is Associated with Cognitive Flexibility: A Dual-Tasking Study in Healthy Older People. Hobert MA, Meyer SI, Hasmann SE, Metzger FG, Suenkel U, Eschweiler GW, Berg D, Maetzler W. Front Aging Neurosci. 2017 May 24;9:154.
    The article shows that cognitive flexibility is needed for walking in difficult conditions, especially at different speeds, and that older people with limited cognitive flexibility have difficulty adapting their gait in difficult walking situations.
  • A clinical view on the development of technology-based tools in managing Parkinson's disease. Maetzler W, Klucken J, Horne M. Mov Disord. 2016; DOI: 10.1002/mds.26673. 
    A detailed "Viewpoint" on new wearable measuring instruments, that e.g. are used in the home environment of (Parkinson's) patients, and support or even change the treatment concept of such diseases. The article contains a framework for the development and clinical testing of wearable technology.
  • Twelve-week sensor assessment in Parkinson's disease: Impact on quality of life. van Uem JM, Maier KS, Hucker S, Scheck O, Hobert MA, Santos AT, Fagerbakke O, Larsen F, Ferreira JJ, Maetzler W. Mov Disord. 2016; DOI: 10.1002/mds.26676.
    The article presents data on the impact of a long-term 24/7 home-based sensors monitoring on the quality of life in a population of Parkinson's patients. The results show that such detection systems have no negative impact on the quality of life of the users, and therefore can be used in its current form.
  • Continuous leg dyskinesia assessment in Parkinson's disease -clinical validity and ecological effect. Ramsperger R, Meckler S, Heger T, van Uem J, Hucker S, Braatz U, Graessner H, Berg D, Manoli Y, Serrano JA, Ferreira JJ, Hobert MA, Maetzler W, Sense-Park study team. Parkinsonism Relat Disord. 2016; 26:41-6.
    This article presents the first movement algorithm in the home environment (dyskinesia, ie over-movement) developed by our working group. We present the basic structure  clinical validation and testing of the ecological effect (i.e. relevance of measurement for the clinic and in the home environment) of the algorithm. This work serves as the basis for our future algorithms with the aim to capture everyday movements in the elderly and frail patients. 
  • Health-Related Quality of Life in patients with Parkinson's disease-A systematic review based on the ICF model.  van Uem JM, Marinus J, Canning C, van Lummel R, Dodel R, Liepelt-Scarfone I, Berg D, Morris ME, Maetzler W. Neurosci Biobehav Rev. 2016; 61:26-34.
    This is the first systematic and quantitative review of the impact of symptoms of Parkinson's disease on quality of life. The reviews takes the five relevant functional, disability and health domains defined in the WHO Framework (ICF model) into account.
  • Clinical Parameters and Tools for Home-Based Assessment of Parkinson's Disease: Results from a Delphi study. Ferreira JJ, Santos AT, Domingos J, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Artur Serrano J, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W. J Parkinsons Dis. 2015; 5(2):281-90.
    This article summarizes the structured process for the definition of relevant symptoms that will be detected by home-based technology in Parkinson's patients. The special thing about it is the "hierarchy-free" collaboration of patients, technicians and clinicians, and the result suggests that such cross-disciplinary processes are actually possible and feasible. Together with three patients with Parkinson's disease, we co-authored a review of the topic "Research with Patients of Patients" (Van Uem et al., J. Parkinson Disease, 2016).