INFLAMED: INFLAmmatory pathways in Multi-modal imaging of Epileptogenesis and Depression

Lead Research Organisation: University College London
Department Name: Institute of Neurology

Abstract

Epilepsy is one of the most common serious neurological conditions, affecting around 1 in 100 people, about 600.000 people in the UK alone. People with epilepsy often also suffer from depression. Both conditions have a huge impact on a patient's life, and some people with epilepsy feel more affected by their symptoms of depression than their seizures. Studies have shown that suffering from depression in the past increases the risk to develop epilepsy after stroke or other brain trauma, and makes it more likely to continue suffering from seizures, even after trialing several seizure medications, and after epilepsy surgery. Studies in animals and humans have shown that inflammation in the brain can lead to both, the development of epilepsy and depression.
In this study, we plan to use recently-developed brain imaging techniques to identify and measure inflammatory changes in the brain. This will help us shed light on how inflammation in the brain may lead to both epilepsy and depression.
We will then explore:
1. Whether inflammatory changes may explain why some people with epilepsy also suffer from depression; and
2. Whether the amount of brain inflammation leads to more severe epilepsy by changing the structure and function of the brain.
To answer these questions, we will study people with temporal lobe epilepsy, which is the most common type of epilepsy, as well as people who do not have epilepsy as a control group. First, we will compare people with epilepsy and controls to characterize the amount of inflammation in the brain in those with epilepsy. We will then compare people with epilepsy with and without depression, to see how different the amount of inflammation is in those with depression. In people with epilepsy, we will also gather information on how frequent their seizures are, and in case they have depression, how severe their symptoms of depression are.
We will use a new brain imaging technique, which measures changes in the blood vessels (so called "leaky vessels"), a phenomenon commonly seen in brain inflammation. We will also use imaging techniques that measure changes in brain structure and function. We will then investigate how inflammation in the brain may lead to changes of brain structure and function.

So far, we can only treat epilepsy symptoms by controlling seizures, which means that people with epilepsy have to take anti-seizure medication over many years, often throughout their whole lives. Unfortunately, only in a small group of patients can we identify and treat an underlying cause of the condition with epilepsy surgery. With this project, we hope to measure how inflammation leads to epilepsy and depression by using advanced imaging techniques. As a next step, we aim to use these markers in future studies to study the benefit of new medications, which treat the brain inflammation as an underlying cause of epilepsy and depression. Overall, this research could eventually lead to preventing epilepsy, instead of only controlling its symptoms with anti-seizure medications.

Technical Summary

Epilepsy (point prevalence: 1%) is a major public health issue. Depression (median prevalence: 30%) is a major epilepsy comorbidity, and its negative effects on quality of life are greater than those of seizure frequency. Depression is a risk factor to develop epilepsy, particularly refractory epilepsy. Compelling evidence, both from animal and human data, identifies neuro-inflammation as a common pathological mechanism of epilepsy and depression. In rodent models of depression, pro-inflammatory pathways are activated, and animal models of inflammation cause depressive-like symptoms. Several models of acute seizures and chronic epilepsy are associated with activation of microglia, inflammatory cytokines and blood brain barrier (BBB) dysfunction. Measures of BBB permeability may therefore serve as markers of a localized inflammatory response.
We propose a pilot study to investigate patients with temporal lobe epilepsy (TLE) with and without depression and healthy controls. All will undergo Dynamic Contrast Enhanced (DCE) MRI, a novel technique quantifying BBB dysfunction as a marker of inflammatory response. In addition, all participants will undergo 3-Tesla 3D T1-weighted, T2-FLAIR and resting-state BOLD fMRI. We will obtain information on seizure frequency and depressive symptoms in patients.
We will investigate:
1. Whether there is an effect of depression on inflammatory changes in patients with TLE, by firstly comparing patients to controls, and subsequently patients with depression to those without. We hypothesize that patients will exhibit inflammation changes compared to controls, and that the latter will be more marked in patients with depression.
2. (a) How inflammatory changes relate to clinically accepted measures of disease severity, (b) how they relate to established imaging markers of disease severity, i.e. patterns of whole-brain cortical atrophy, and (c) how they are associated with abnormalities of resting-state fMRI-based functional networks.

Planned Impact

Our proposal addresses a key area of high strategic importance for the MRC: to prevent disability and promote wellbeing, based on better understanding of causes, risk levels and new approaches to early preventive interventions. The proposed research will benefit patients with epilepsy and depression, clinicians treating those patients, as well as the wider public, by overall decreasing the disability burden associated with epilepsy and depression and promoting re-integration of patients as more active and productive members of society.
In the long-term, the research may benefit the pharmaceutical industry by providing new treatment targets for anti-epileptic agents.

Our research will lead to the development of clinically-useful tests helping the early identification of patients at-risk of developing refractory epilepsy, and patient stratification for specific therapy (anti-inflammatory treatments), once available. Validated biomarkers, obtained with Dynamic Contrast Enhanced (DCE) MRI, a novel technique quantifying blood brain barrier dysfunction as a marker of inflammatory response, will also be useful for monitoring treatment response. Inflammatory imaging markers identified through this research can also be integrated into the presurgical work-up of epilepsy surgery candidates to better define the epileptogenic focus and regions belonging to the epileptogenic network, and may serve as a predictor of successful surgery. Ultimately, we therefore aim to establish the assessment of inflammation levels as a routine component of the presurgical assessment in epilepsy.

Patients at risk, with evidence of neuro-inflammation, could be monitored closely for mood changes with additional depression screening tools. Clinicians would have a lower threshold to offer social help and begin available anti-depressant agents.
Currently, the development of anti-inflammatory therapy is a growing field, and includes compounds such as anakinra or losartan. Developing such agents is an area of interest after recent reports of beneficial effects on seizure control. At-risk epilepsy patients identified via DCE-MRI imaging could be potential candidates for anti-inflammatory drug trials, or may benefit from other anti-inflammatory therapies once available. We have chosen DCE-MRI as this will ensure direct translation into clinical practice, given the fairly straightforward methodology and wide application in clinical centres. In previous MRC and Wellcome funded research, we have shown the translational value of imaging research with the implementation of functional imaging techniques for prediction of postsurgical cognitive deficits. The stage is now set to extend these methodologies to the benefit of larger patient populations, beyond those few undergoing surgery. This will have a much wider impact, and could be of benefit to all patients suffering from seizures and mood disturbances. Ultimately, findings from this pilot study will be exploited for validating imaging of inflammation and serum biomarkers for epilepsy and mood changes in larger trials, which will establish helpful benchmarks for patients with depression, or at risk of developing refractory epilepsy. If this application were to be successful, we would apply for funding for larger clinical trials already during the pilot study phase, with the overall aim of commencing those within the next five years.
The costs for DCE-MRI would be off-set by the impact which anti-inflammatory agents might have on preventing mood disturbances and refractory epilepsy. Economic development and scientific competitiveness will benefit from the potential for commercialisation of imaging methodologies. Overall, benefit for the wider public in general will result from decreasing the disability burden of epilepsy and depression, and facilitating reintegration of patients into the working world.
 
Description Epilepsy and Neurodegeneration: Disease mechanisms and early Detection (EPIPHANY) 
Organisation University College London
Department Institute of Neurology
Country United Kingdom 
Sector Academic/University 
PI Contribution This collaboration is construed as a consortium (Epilepsy and Neurodegeneration: Disease mechanisms and early Detection (Epiphany)) of several UK and internationally based researchers (Principal Investigators and Grant Holders based at UCL). In a well-characterised adult epilepsy surgical series, this study will investigate whether there are changes in brain specimens of people with epilepsy who had surgery in the past, or are about to undergo surgery, that are also known to occur in neurodegenerative conditions or "tauopathies", like Alzheimer's Disease or chronic-traumatic-encephalopathy. Pathological changes will be compared with results from repeat neuroimaging and cognitive studies in the same individual up to 20 years following surgery, or with imaging before and after surgery. As a named collaborator, my contribution will be to perform Dynamic-Contrast Enhanced MRI (DCE-MRI), a technique I am currently implementing at the Chalfont MRI Unit as part of my MRC grant, in the above-mentioned group of epilepsy cases. I will contribute further data analyses of DCE-MRI data to investigate how inflammatory response in the brain and breakdown of the blood brain barrier will eventually contribute to neurodegeneration in patients with epilepsy, and contribute my expertise in supervision of junior researchers involved in activities subsumed under the scopes of the grant.
Collaborator Contribution This collaboration will provide further funding (112000 GBP) to acquire imaging data, including DCE-MRI, and will also allow me to have access to the equipment and facilities to perform DCE-MRI at the Chalfont MRI Unit. In addition, I will have access to data from my collaborators, such as neuropathological and imaging data (PET, structural MRI) that will allow me to relate my research findings from DCE-MRI to these datasets. I will also benefit from the specific expertise of other key collaborators.
Impact Output: Implementation of DCE-MRI at Chalfont MRI Unit (see:Other Outputs & Knowledge / Future Steps) The collaboration is multi-discipinary, and includes departments of Neuropathology, Clinical Neuropsychology, advanced structural MRI/MR physics (7 and 9.4Tesla MRI) and Computational Neuroimaging, Genetics, PET imaging, and Biostatistics.
Start Year 2021
 
Description Implementation of Blood Brain Barrier Imaging Techniques 
Organisation University College London
Department Centre for Medical Image Computing
Country United Kingdom 
Sector Academic/University 
PI Contribution The collaboration with the Centre for Medical Imaging Computing is a direct result from this grant with the aim to establish Dynamic Contrast Enhanced (DCE) - MRI as a research tool for blood brain barrier imaging in patients with epilepsy. As part of my study and recruitment of epilepsy patients with normal structural brain scans, I collect and provide access to DCE-imaging data that will help to further develop these imaging methods for their usage in patients.
Collaborator Contribution The Centre for Medical Imaging Computing supports the current project by implementing this novel imaging technique as a research tool in the Chalfont MRI Unit. They provide technical support, along with support with advanced data analyses and intellectual input on data interpretation.
Impact Output: Implementation of DCE-MRI at Chalfont MRI Unit (see: Other Outputs & Knowledge / Future Steps)
Start Year 2020
 
Description MRI characteristics in Glioblastoma patients with epilepsy 
Organisation Queen Mary University of London
Department Blizard Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution This collaboration with the Barts Brain Tumour Centre aims at investigating MRI characteristics in patients with glioblastoma and epilepsy. I provide the imaging methods expertise in this project and co-supervise a postdoc working on this project. In addition to the methodological expertise, I have contributed to the planning of the project, reviewed additional funding applications of the postdoc and abstract submissions, and helped with and supervised data analysis and results interpretation.
Collaborator Contribution The collaboration partners at the Barts Brain Tumour Centre have contributed their expertise in neuropathology and neuroscience-oncology and neurosurgery. They have contributed to planning of the project, data generation and interpretation, as well as planning of further neuropathological analyses.
Impact Output: Generation of pilot data for potential future blood brain barrier imaging project in patients with glioblastoma and epilepsy (see:Other Outputs & Knowledge / Future Steps) multi-disciplinary: neurologist, neuroscientists, neurosurgeon, neuropathologist, IT specialists
Start Year 2022
 
Description Optimisation of Dynamic Contrast Enhanced (DCE) - MRI toolbox MADYM for epilepsy imaging in collaboration with Quantitative Biomedical Imaging Laboratory (QBI-Lab) Manchester University 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution The collaboration with the Quantitative Biomedical Imaging Laboratory (QBI-Lab), Manchester University aims at optimising an existing analysis toolbox (MADYM) developed at QBI-Lab for analysis of Dynamic Contrast Enhanced MRI data in patients with epilepsy. In collaboration, we have so far adjusted the toolbox settings to ensure optimal data analysis of blood brain barrier imaging in epilepsy patients, in particular using our current scanning protocol. The data acquired in this MRC funded project will help to further develop these imaging analyses methods for their usage in other, similar projects across different research sites.
Collaborator Contribution Quantitative Biomedical Imaging Laboratory (QBI-Lab), Manchester University, supports the current project by assisting in optimising the MADYM analysis toolbox for data analysis of this MRC funded project. They provide technical/computational support, along with support with advanced data analyses and intellectual input on data interpretation.
Impact Output: Implementation of DCE-MRI analysis toolbox MADYM (see: Other Outputs & Knowledge / Future Steps) Multidisciplinary: MRI physicists and neuroscientists/medical doctors
Start Year 2021
 
Description Optimisation of Dynamic Contrast Enhanced (DCE) - MRI toolbox MADYM for epilepsy imaging in collaboration with Quantitative Biomedical Imaging Laboratory (QBI-Lab) Manchester University 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution The collaboration with the Quantitative Biomedical Imaging Laboratory (QBI-Lab), Manchester University aims at optimising an existing analysis toolbox (MADYM) developed at QBI-Lab for analysis of Dynamic Contrast Enhanced MRI data in patients with epilepsy. In collaboration, we have so far adjusted the toolbox settings to ensure optimal data analysis of blood brain barrier imaging in epilepsy patients, in particular using our current scanning protocol. The data acquired in this MRC funded project will help to further develop these imaging analyses methods for their usage in other, similar projects across different research sites.
Collaborator Contribution Quantitative Biomedical Imaging Laboratory (QBI-Lab), Manchester University, supports the current project by assisting in optimising the MADYM analysis toolbox for data analysis of this MRC funded project. They provide technical/computational support, along with support with advanced data analyses and intellectual input on data interpretation.
Impact Output: Implementation of DCE-MRI analysis toolbox MADYM (see: Other Outputs & Knowledge / Future Steps) Multidisciplinary: MRI physicists and neuroscientists/medical doctors
Start Year 2021
 
Description Epilepsy Society Website information on ongoing research 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact The Epilepsy Society is a national charity with major commitment to public information provision and engagement supporting research work at the Chalfont Centre. Through this website we engage with epilepsy patients regarding research outputs, using varied media as well as through issue of an annual newsletter. The website has recently been updated to give further information on the award funded project (https://epilepsysociety.org.uk/neuro-research-projects#inflammation).
Year(s) Of Engagement Activity 2021
 
Description Talk on "Inflammation in Epilepsy" at the weekly Neuroscience Department Teaching 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact I gave a talk on the role of inflammation in epilepsy, focussing both on clinical scenarios and management, as well as research in the field. The purpose was to explain potential neuro-inflammatory patho-mechanisms in epilepsy, and to disentangle various disease entities and their definitions, such as autoimmune encephalitis, and immune-mediated epilepsy. The talk inspired a discussion amongst colleagues in the department, in particular on disease definitions, and the challenging clinical management of these conditions.
Year(s) Of Engagement Activity 2022
 
Description Talk on "Inflammation in epilepsy" at SENA (South of England Neuroscience Association) Biannual Meeting, 22/04/2022, The Royal London Hospital 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact I gave a talk on the role of inflammation in epilepsy, focussing both on clinical scenarios and management, as well as research in the field. The purpose was to explain potential neuro-inflammatory patho-mechanisms in epilepsy, and to disentangle various disease entities and their definitions, such as autoimmune encephalitis, and immune-mediated epilepsy. The talk inspired a lively discussion, in particular on disease definitions, and the challenging clinical management of all of these conditions, and the need to develop novel treatment options.
Year(s) Of Engagement Activity 2022
URL https://sena.org.uk/meetings/SENA%20Biannual%20Meeting%20-%20Spring%202022.asp