Research
The current research at INPL focuses on developing a clearer understanding of Long-COVID symptoms such as fatigue and cognitive function using AI and neuroimaging (PET, MRI).
Other research areas:
Artificial Intelligence (AI) to predict Alzheimer's Disease from PET images of Long-COVID patients.
Investigating the effects of cannabis use in patients with MS on motor and cognitive functions.
Exploring the positive and negative effects of cannabis on quality of life and disability in neurological diseases (e.g. Parkinson’s disease, Multiple Sclerosis, Dementia).
Clarifying the origins of MS related fatigue.
The use of non-invasive neuroimaging techniques (Positron Emission Tomography, Computed Tomography, Magnetic Resonance Imaging) to examine the CNS–skeletal muscle interaction at a whole-body level.
Transcranial Direct Current Stimulation to reduce fatigue and neuropathic pain.
Exploring potential factors contributing to Neurological Post COVID-19 Fatigue.
PET image of a patient with Multiple Sclerosis after 15 min walking. Greater glucose [18F]-FDG uptake in the weaker and more affected leg. Red denotes the greatest signal intensity followed by yellow, green, and blue.
Therapeutic Use of Cannabis: Benefits and Risks
Transcranial Direct Current Stimulation to reduce fatigue and neuropathic pain.
Neurological Post-COVID-19 Fatigue