@Article{publ_mods_00002424,
  author = 	{Lerche, Stefanie
		and Heinzel, Sebastian
		and Alves, Guido W.
		and Barone, Paolo
		and Behnke, Stefanie
		and Ben-Shlomo, Yoav
		and Berendse, Henk
		and Bloem, Bastiaan R.
		and Burn, David
		and Dodel, Richard
		and Grosset, Donald G.
		and Hipp, Geraldine
		and Hu, Michele T.
		and Kasten, Meike
		and Kr{\"u}ger, Rejko
		and Liepelt-Scarfone, Inga
		and M{\"a}tzler, Walter
		and Moccia, Marcello
		and Mollenhauer, Brit
		and Oertel, Wolfgang
		and Roeben, Benjamin
		and Walter, Uwe
		and Wirdefeldt, Karin
		and Berg, Daniela Dagmar Denise},
  title = 	{Aiming for Study Comparability in Parkinson's Disease: Proposal for a Modular Set of Biomarker Assessments to be Used in Longitudinal Studies},
  journal = 	{Frontiers in Aging Neuroscience},
  year = 	{2016},
  publisher = 	{Frontiers Media SA},
  address = 	{Lausanne},
  volume = 	{8},
  pages = 	{pp. 121:1 - 121:4},
  keywords = 	{Parkinson's Disease; Biomarker; Modular Set; Longitudinal Studies},
  abstract = 	{Parkinson's disease (PD) is an example for a complex field of research, which is driven by themultifactorial etiology, the heterogeneity in phenotype and the variability in disease progression,as well as the presence of a long pre-diagnostic period, called prodromal PD, lasting up to decades(Postuma et al., 2010). The very slow, so far inevitably progressive, neurodegenerative process andthe multidimensional heterogeneity of symptoms in kind (motor and non-motor), time of onsetand speed of progression call for prediction markers and progression markers to understand theonset of neurodegeneration and its course. These markers would also help to establish endpointsfor neuroprotective treatment strategies aiming to modify disease progression. Because of thecomplexity, heterogeneity, and the progressive nature of PD, such predictive and progressionmarkers can only be identified in large cohorts and in studies with a longitudinal design.},
  note = 	{http://journal.frontiersin.org/Article/10.3389/fnagi.2016.00121/abstract},
  issn = 	{1663-4365},
  doi = 	{10.3389/fnagi.2016.00121},
  url = 	{https://macau.uni-kiel.de/receive/publ_mods_00002424},
  url = 	{https://doi.org/10.3389/fnagi.2016.00121},
  file = 	{:https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00000848/lerche2016.pdf:PDF},
  language = 	{en}
}