Constipation is a common complication and non-motor symptom of Parkinson’s disease (PD) and affects up to 80% of people with PD. It is in fact within the non-motor symptoms that nutrition and dietetic intervention could have the greatest impact. Research suggests that increasing the amount of fibre in the diet could help to alleviate the effects of constipation. Inulin is a type of fibre widely found in a variety of vegetables, and recent studies have shown that inulin can improve constipation in people with PD.

AI in Parkinson’s Disease (AIPD) is a Marie Skłodowska-Curie Joint Industry-Academic Doctoral Network. AIPD will train a group of 14 Doctoral Candidates in an intersectoral, international and interdisciplinary setting with the aim to educate the next generation of medical data scientists. Our program stands out by a strong translational focus bridging academia and industry. PhD candidates will benefit from:

Parkinson’s Disease (PD) is the second most frequent, degenerative neurological condition affecting up to ten million worldwide and occurs through loss of dopamine-producing neurons. PD etiology/pathogenesis remain incompletely understood, however, mitochondrial dysfunction, protein aggregation and neuroinflammation play a role in PD development.

Parkinson’s disease is a debilitating disorder characterized by uncontrolled limb shaking (tremor), slow movement, dementia and depression. It is the second most common age-related neurodegenerative disease affecting ~10 million worldwide, yet the causes of tremor are poorly understood and treatment is wholly inadequate. Tremor is linked to proteins called ion channels. These tiny molecular pores are studded into the cell membrane, permit the flow of ions through it and help to control nerves.

α-Synuclein (α-Syn) pathology is inextricably linked to the pathogenesis of Parkinson’s disease (PD), yet we have very limited understanding why specific neuronal populations are vulnerable to α-Syn-related PD pathology while others are much more resistant.

This study focuses on finding better ways to assess and manage Parkinson's disease. The study aims to validate two machine learning algorithms, developed respectively by PragmaClin Research Inc., and researchers at the Tyndall Institute in collaboration with the Centre for Gerontology and Rehabilitation at University College Cork (UCC). These algorithms are both designed to analyse data collected from video recordings and wearable devices to provide a rating of PD symptom severity.

Parkinson’s disease is a debilitating disorder characterised by movement disorders, including tremor, cognitive dysfunction and non-motor impairments. It is the second most common age-related neurodegenerative disease with ~10 million sufferers worldwide, but the causes of tremor are poorly understood and treatment is wholly inadequate.

α-Synuclein (α-Syn) pathology is inextricably linked to the pathogenesis of Parkinson’s disease (PD), yet we have very limited understanding why specific neuronal populations are vulnerable to α-Syn-related PD pathology while others are much more resistant.