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MICA: How does the pedunculopone nucleus influence treatment responses in Parkinson's disease, and can it be targeted for new treatment strategies

Lead Research Organisation: Manchester Metropolitan University
Department Name: Centre for Bioscience

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disorder (second only to Alzheimer's disease). It is characterized by a progressive loss of motor ability over time. Partly due to the world's ageing population, PD is now one of the leading causes of disability worldwide.

We know that PD is associated with a loss of dopamine cells in the brain. Treatment with dopamine replacement medications is highly effective in the early stages of the disease. Unfortunately however, over time, people become resistant to this medication, and develop new motor symptoms as a result. The symptoms that are particularly resistant to dopamine medications include balance impairment, and changes to the way people walk. As these complications progress, they impair quality of life, and eventually lead to falls and a loss of independence.

We know that a small region of the brainstem, called the pedunculopontine nucleus (PPN), is involved in the control of balance and walking. We also know, primarily from work in animals, that the PPN can influence dopamine levels in the brain regions from which dopamine is lost in PD. However, we understand very little about the PPN and how it is connected with the rest of the brain in humans. As a result, therapies that have been developed to target the PPN have so far failed to meet our clinical expectations for improving balance and walking impairments.

There are two recent technological advances that will help us to address this problem.

First, new advances in how we image the brain have recently made it possible to examine the structure of the brain in more detail. Our study will apply these advances to investigate how the PPN might be targeted for new treatment strategies in PD.

Second, we will take advantage of a new development in deep brain stimulation technology. Deep brain stimulation is a treatment for PD that applies electrical stimulation to the regions of brain that become disrupted by the disease. This is a highly effective treatment, but it does not work for everyone, and is extremely costly and invasive. When the deep brain stimulation electrodes are implanted in the brain however, researchers can record from the electrodes to understand more about how PD effects the brain. This approach has lead to the understanding that activity in the brain regions targeted by deep brain stimulation is aberrant in PD, and that this activity can be 'normalised' by dopamine medication.

Until very recently these recordings could only be made around the time of the brain surgery, when people are generally immobile and fatigued. Now however, it is possible to record from the electrodes wirelessly, meaning people can fully recover from the surgery before taking part in research. As a result, we can now ask people to carry out some of the motor tasks that we know depend on the PPN, and record brain activity at the same time.

By combining the information we can get about the brain from these two technologies when people are on and off their dopamine medications, we have the opportunity to examine how the PPN modifies how the brain uses dopamine to perform motor functions in the human for the first time. We can also examine how the PPN might participate in treatment responses to both dopamine replacement and deep brain stimulation.

These findings will guide the development of new therapies that can target the PPN, and will enable us to personalise current treatment approaches to improve their effectiveness

Technical Summary

Loss of dopamine neurons in the substantia nigra (SN) is a hallmark of Parkinson's disease (PD). A solid body of literature in animals has established that the pedunculopontine nucleus (PPN) can modify dopamine signalling in this region. Very recently it was revealed that stimulating the PPN can restore dopamine and motor function in Parkinson's rats. These findings implicate the PPN as a target for new therapy, or for improving the current dopamine-replacement treatment approaches. However, we understand very little about how the PPN influences dopamine in the human, limiting our ability to target it effectively.

To address this, we will take advantage of two recent advances in neuroimaging and deep brain stimulation (DBS) technology to identify the PPN's role in dopamine signalling in the human for the first time:

- We have developed an advanced neuroimaging pipeline that can index the structural integrity of the PPN and its connections with the basal ganglia, including the PPN-SN pathway. Importantly, we have demonstrated the relevance of these structural metrics for PD-related degeneration.

- DBS technology now allows wireless recording directly from the basal ganglia in humans. This means we can examine how activity in this region changes following dopamine replacement during mobile performance of the motor skills that are most relevant for PD.

Thus, we will perform imaging of the PPN and its connectivity in people with PD who are scheduled to receive DBS. Following surgery, basal ganglia activity will be recorded while participants are on and off dopamine replacement during motor learning and mobile motor tasks.

Whether PPN structure and connectivity influences dopamine-induced activity in the basal ganglia, and how this influence contributes to PD symptoms will be investigated. This will lead to new opportunities to translate our findings into new pharmacological strategies to exploit the PPN's influence over basal ganglia dopamine.
 
Description A neurocomputational model to remember: brain stimulation protocol to enhance Memory in aging
Amount $112,627 (USD)
Funding ID Fondecyt I-11241484 
Organisation Agencia Nacional de Investigacion y Desarrollo (ANID) 
Sector Public
Country Chile
Start 11/2024 
End 09/2027
 
Description Accelerator Scheme
Amount £987,000 (GBP)
Organisation Manchester Metropolitan University 
Sector Academic/University
Country United Kingdom
Start 01/2025 
End 01/2028
 
Description Collective Mind: from computational modeling to computational sociology. Unveiling the Role of Self and Situational Awareness in Agent-Based Systems (ABSs)
Amount $409,287 (USD)
Funding ID Fondecyt E-13240042 
Organisation Agencia Nacional de Investigacion y Desarrollo (ANID) 
Sector Public
Country Chile
Start 08/2024 
End 08/2028
 
Description Computational modelling of Neurostimulation - San Sebastian University 
Organisation San Sebastián University
Country Chile 
Sector Academic/University 
PI Contribution I am named as visiting Professor at the Faculty of Engineering, Architecture and Design of the San Sebastian University in Chile. In this role, I contribute to several of their projects by providing expertise and intellectual input in the field of Computational Neuroscience, Bayesian Inference and mathematical modelling of brain signals. I also co-supervise the training of several post-docs and PhD students who visit our University periodically to develop our joint research projects.
Collaborator Contribution The members of the San Sebastian team have a long standing expertise in the fields of machine learning, signal processing and software engineering, specifically oriented to the development of Biomedical Engineering applications. Their contribution to this collaboration will make possible to accelerate the delivery of a user computational model of the effect of Deep Brain Stimulation of the PPN in order to provide a mechanistic explanation and support for the main hypothesis of our project and beyond. This contribution is key for the dissemination of our tools to the wider community and to maximise the impact of our outcomes.
Impact This is a multi-disciplinary collaboration including disciplines such as Computational Neuroscience, Neuroimaging, Biomedical Engineering, Applied Mathematics, Physics, Statistics, Psychology, Neuroscience and Biology. Outcomes that have resulted from this collaboration include the following collaborative research grants: - ANID: FONDECYT E-13240042 (USD 409287; 2024-2028) - ANID: FONDECYT I-11241484 (USD 112627; 2024-2027)
Start Year 2024
 
Description Movement Disorders Society: consensus statement 
Organisation International Parkinson and Movement Disorder Society (MDS)
Country United States 
Sector Charity/Non Profit 
PI Contribution With the MDS study group, we are producing a consensus paper that outlines the available tools for imaging in Parkinson's disease. My contribution will be in imaging the substantia nigra and the cholinergic basal forebrain.
Collaborator Contribution The group will be contributing their own expertise to provide consensus on the evidence available for different imaging tools and there utility in Parkinson's
Impact Outputs are being generated
Start Year 2024
 
Description New study imaging the pedunculopontine nucleus in PD 
Organisation University of Cologne
Country Germany 
Sector Academic/University 
PI Contribution Data sharing and combining analysis protocols to image the pedunculopontine nucleus in Parkinson's disease
Collaborator Contribution We will apply our newly developed analysis protocols to a large dataset collected by colleagues in Cologne
Impact Outputs will be generated this year
Start Year 2025
 
Description Patient group meeting 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Patients, carers and/or patient groups
Results and Impact We have set up a new group to help us develop the priorities emerging from our current study. The initial meetings have taken place and we are gathering interest from across the UK via Parkinson's UK.
Year(s) Of Engagement Activity 2025
URL https://tcnu.mmu.ac.uk/2025/02/10/stimulation-change-for-parkinsons/