MOBI Maastricht

At Maastricht University we have a lab for mobile brain-body imaging (MOBI) that includes mobile 64-channel EEG, wireless 32-channel EMG and full-body 3D kinematics. This is a collaboration between the Faculty of Psychology and Neuroscience, the Faculty of Health, Medicine and Life Sciences (Department of Human Movement Sciences) and Maastricht University Medical Center (Department of Neurology). Our research focuses on posture and gait across the lifespan and movement disorders such as Parkinson's Disease.

Brain-muscle networks of human gait

Using mobile EEG and EMG we investigated brain-muscle networks of gait in young, older and individuals with Parkinson's Disease. We identified three distinct brain-muscle networks that span a low-dimensional subspace in which dynamic connectivity evolves during a gait cycle.

For further information see our paper in iScience.

Unravelling gait impairment in Parkinson’s disease

We received a NWO Open Competition to test the predictive coding framework in the context of cueing of gait in people with Parkinon's disease. The project will be conducted in collaboration with Melvyn Roerdink and Sonja from 2023 to 2027 with Alan Bince Jacob as a PhD candidate. We will combine mobile brain-body imaging, real-time kinematic analysis and gait-dependent acoustic and augmented-reality cueing to test hypotheses regarding the neural and behavioural correlates of precision of sensorimotor predictions during gait.

EEGManySteps

With support from the University Fund Limburg, we will contribute to the EEGManyStep initiative: https://juliuswelzel.github.io/eegmanysteps/. This effort focuses on collecting and analyzing mobile brain-body imaging (MOBI) data of human gait from different contributing institutes. At Maastricht University we will contribute to this initiative and acquire MoBI data of human gait using a common experimental protocol. We are committed to fostering Open Science by ensuring our research materials, including data sets and software, are publicly accessible and well-documented. We will use the Brain Imaging Data Structure (BIDS) standard, including the new standard for kinematic and EMG data currently being developed. The EEGManySteps initiative is open to further collaborators, so please get in contact if you are interested

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