AD/PD™ Journal Club – Classification of Mild Cognitive Impairment and Alzheimer’s Disease Using Manual Motor Measures

Join the next AD/PD™ Journal Club, where we’ll explore this groundbreaking research on Classification of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Using Manual Motor Measures—a study that could reshape the future of neurodegenerative disease diagnosis.

The author´s paper will be available free of access to all journal attendees here.

Learning Objectives:

  • Identify motor performance differences in cognitively normal, MCI, and AD
    individuals.
  • Explore the connection between motor function and AD biomarkers for better
    disease progression insights.
  • Learn how machine learning can enhance classification accuracy based on
    motor performance data.

Agenda

  • 16:00 – 16:10: Introduction by Dr. Liscic
  • 16:10 – 16:30: Presentation by Dr. Ruitenberg and Prof. Koppelmans
  • 16:30 – 16:45: Interactive Q&A session

Faculty

Moderator

Rajka M. Liscic, MD, PhD
Assistant Professor of Neurology·MEDIAN Clinics GmbH, Germany

I’m a German-board certified neurologist with 25+ years’ experience in clinical neurology. As a winner of a Fulbright Scholarship, I completed a 12-months clinical fellowship in cognitive neurology at the NIH-funded Charles F. and Joanne Knight-Alzheimer Disease Research Center (Knight-ADRC) at Washington University in St. Louis, USA under a supervision of Prof. JC Morris, MD, and became CDR (Clinical Dementia Rating) certified. Working collaboratively with Prof. NJ Cairns, PhD, FRCPath, and Leader of the ADRC´s Neuropathology Core at the time and Prof. David Balota, PhD of the Department of Psychology, and others we characterized the clinical and pathological phenotypes of frontotemporal lobar degeneration (FTLD). The results have been published in prominent journals, and a particularly noteworthy publication described the co-existence of Alzheimer disease pathology in almost a quarter of FTLD cases (Liscic RM, et al. Archives of Neurology 2007) showing an overlap between different dementias.

Speakers

Marit Ruitenberg, PhD
Leiden University, the Netherlands

Dr Marit Ruitenberg is an Assistant Professor at the Health, Medical and Neuropsychology section at Leiden University, the Netherlands. Her research focuses on the cognitive and neural mechanisms underlying sensorimotor function across the lifespan, both in health and neuro(psycho)logical disorders. Using a combination of behavioral and neuroimaging methods (fMRI, fcMRI), she aims to contribute towards a better understanding of how our brain controls movement, and how such control changes due to aging or disorders such as Parkinson’s disease, Alzheimer’s disease, or depression.

Vincent Koppelmans, PhD
Research Associate Professor, Department of Psychiatry, University of Utah, Salt Lake City, UT, US

Vincent Koppelmans, PhD, is a Research Associate Professor in the Department of Psychiatry. He earned a Master of Science degree in Clinical Neuropsychology from the VU University, Amsterdam, the Netherlands, and a Master of Science degree in Health Sciences from the Erasmus University, Rotterdam, the Netherlands. He obtained his PhD in Neuro-epidemiology from the same Erasmus University for his dissertation on The Late Effects of Adjuvant Chemotherapy on Brain Function and Structure.   Dr. Koppelmans completed his postdoctoral training in Neural Control of Movement in the Department of Kinesiology at the University of Michigan in Ann Arbor, MI. He was awarded a fellowship from the National Space Biomedical Research Institute to investigate exercise as a potential countermeasure for brain changes that occur as a result of long-duration bed rest. Following his postdoctoral training he joined the Kinesiology Department of the University of Michigan as an Assistant Research Scientist. He is interested in disease and age related brain structural and functional neuroplasticity and their relation with cognitive function and motor behavior. He is currently funded by an NIH/NIA K01 award to study Neural and Behavioral Motor Profiles as Novel Biomarker for Alzheimer’s Disease.

This initiative is made possible thanks to the help of Karger Publishers.