Motor functions & cognition

TREND study (Tuebingen evaluation of Risk factors for the Early detection of NeuroDegeneration)

IDA analyzes longitudinal and cross-sectional data (assessed every two years since 2009) of the prospective TREND cohort (in cooperation with Prof. Daniela Berg and Prof. Walter Maetzler). Data types comprise, e.g. motor assessments (sensors, motor tests), neuropsychological tests (CERAD-Plus, MoCA), and data on autonomic dysfunction, sleep disorders, hyposmia, depression and medical history. The overall objective is to identify, characterize and validate risk and prodromal markers for Parkinson’s disease and dementia. Understanding the associations between different risk and prodromal markers is crucial for the specification of their predictive values and for a more accurate and earlier detection of these diseases. 

MODEP study

Within the MODEP study (Modeling Epidemiological Data to study Parkinson's disease progression) patients with Parkinson’s disease were followed prospectively for 5 years from 2010-2016. Motor and non-motor symptoms were assessed biannually. In cooperation with Prof. Daniela Berg and Prof. Walter Maetzler IDA analyses the MODEP data to investigate progression markers and predictors of the course of Parkinson’s disease. Analyses comprise markers of motor deficits (sensor data), cognitive functions, depression and autonomic dysfunction.


The research group Neurogeriatrics and IDA collaborate closely regarding statistical analyses of motor and non-motor markers and methodological approaches for the investigation of neurogeriatric research questions.


IDA analyses neuropsychological data from cohort- and clinical studies in cooperation with Dr. Nils Margraf and Dr. Bettina Moeller (research group Neuropsychology). Analyses are focusing on cognitive impairment of Parkinson patients and individuals at early prodromal stage of neurodegenerative diseases.