Upgrading Magnetoencephalography (MEG) system with Internal Helium Recycler (IHR)
Lead Research Organisation:
University of Ulster
Department Name: Sch of Computing & Intelligent Systems
Abstract
TMagnetoencephalography (MEG) is based on detection of tiny magnetic fields produced by electrical activity within the brain. MEG scanners require superconducting quantum interference devices (SQUIDs) bathed in a liquid Helium cooling unit to detect and amplify magnetic fields generated by neurons, in the space above the scalp. There is currently severe global Helium shortage making researchers requiring liquid Helium shut down their equipment. At Ulster University's Northern Ireland Functional Brain Mapping (NIFBM) facility, the supplier (BOC) has occasionally been unable to source the helium we require - forcing us to temporarily shut down the MEG system resulting in interruption of research and substantial restart costs (up to Euro 19k). We propose to purchase MEGIN's internal helium recycler (IHR), as it creates a closed-cycle supercooling system, requiring no weekly Helium refills, relieving research staff and reducing risks associated with storing Helium cylinders, i.e., explosion, oxygen depletion on leakage and 'ice burn' during transfer. MEGIN's IHR upgrade is the only Helium recycler technology capable of offering zero loss Helium recycling and integrate fully with the medical grade Triux MEG system.
MEG functional brain mapping is used to study information processing in the brain in order to understand the neural basis of developmental disorders, psychiatric and neurodegenerative diseases, memory, attention, emotion, language and social cognition. It is also employed to locate epileptogenic zone(s) and to perform pre-surgical mapping of visual, auditory, somatosensory and motor cortices, and language functional areas of epilepsy patients going forward for surgical treatment. NIFBM is the only such facility in Ireland. An IHR upgrade eliminates the dependence on frequent (unreliable) deliveries of Helium. Consequently, research programmes can be planned well in advance and managed regularly. This is particularly important when dealing with vulnerable groups, such as stroke victims and patients with Alzheimer Disease (AD). Even a couple of weeks delay can cause problems for the study design and moreover, these participants require assistance to attend, thus enhancing the need for planning.
MEG functional brain mapping is used to study information processing in the brain in order to understand the neural basis of developmental disorders, psychiatric and neurodegenerative diseases, memory, attention, emotion, language and social cognition. It is also employed to locate epileptogenic zone(s) and to perform pre-surgical mapping of visual, auditory, somatosensory and motor cortices, and language functional areas of epilepsy patients going forward for surgical treatment. NIFBM is the only such facility in Ireland. An IHR upgrade eliminates the dependence on frequent (unreliable) deliveries of Helium. Consequently, research programmes can be planned well in advance and managed regularly. This is particularly important when dealing with vulnerable groups, such as stroke victims and patients with Alzheimer Disease (AD). Even a couple of weeks delay can cause problems for the study design and moreover, these participants require assistance to attend, thus enhancing the need for planning.
Technical Summary
Magnetoencephalography (MEG) is based on detection of tiny magnetic fields produced by electrical activity within the brain. MEG scanners require superconducting quantum interference devices (SQUIDs) bathed in a liquid Helium cooling unit to detect and amplify magnetic fields generated by neurons, in the space above the scalp. There is currently severe global Helium shortage making researchers requiring liquid Helium shut down their equipment. At Ulster University's Northern Ireland Functional Brain Mapping (NIFBM) facility, the supplier (BOC) has occasionally been unable to source the helium we require - forcing us to temporarily shut down the MEG system resulting in interruption of research and substantial restart costs. We propose to purchase MEGIN's internal helium recycler (IHR), as MEGIN's IHR upgrade is the only Helium recycler technology capable of offering zero loss Helium recycling and integrate fully with the medical grade Triux MEG system, requiring no weekly Helium refills and reducing risks associated with storing Helium cylinders, i.e., explosion, oxygen depletion and 'ice burn'.
MEG functional brain mapping is used to study information processing in the brain in order to understand the neural basis of developmental disorders, psychiatric and neurodegenerative diseases, memory, attention, emotion, language and social cognition. It is also employed to locate epileptogenic zone(s) and to perform pre-surgical mapping of visual, auditory, somatosensory and motor cortices, and language functional areas of epilepsy patients going forward for surgical treatment. An IHR upgrade eliminates the dependence on frequent (unreliable) deliveries of Helium. Consequently, research programmes can be planned well in advance and managed regularly. This is particularly important when dealing with vulnerable groups, such as stroke victims. Even a couple of weeks delay can cause problems for the study design, thus enhancing the need for planning.
MEG functional brain mapping is used to study information processing in the brain in order to understand the neural basis of developmental disorders, psychiatric and neurodegenerative diseases, memory, attention, emotion, language and social cognition. It is also employed to locate epileptogenic zone(s) and to perform pre-surgical mapping of visual, auditory, somatosensory and motor cortices, and language functional areas of epilepsy patients going forward for surgical treatment. An IHR upgrade eliminates the dependence on frequent (unreliable) deliveries of Helium. Consequently, research programmes can be planned well in advance and managed regularly. This is particularly important when dealing with vulnerable groups, such as stroke victims. Even a couple of weeks delay can cause problems for the study design, thus enhancing the need for planning.
Publications
Susan Philip B
(2023)
A systematic review on artifact removal and classification techniques for enhanced MEG-based BCI systems
in Brain-Computer Interfaces
Youssofzadeh V
(2023)
Mapping and decoding cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG
in Human Brain Mapping
Description | A UK-LMIC Research Network for Autism Spectrum Disorder (ULMiRN-ASD) |
Amount | £26,130 (GBP) |
Funding ID | Project 610124; Cost centre: 70914 |
Organisation | Ulster University |
Sector | Academic/University |
Country | United Kingdom |
Start | 01/2024 |
End | 03/2024 |
Description | A UK-LMIC Research Network for Autism Spectrum Disorder (ULMiRN-ASD) |
Organisation | All India Institute of Medical Sciences |
Country | India |
Sector | Academic/University |
PI Contribution | The ULMiRN-ASD project is funded by NI's Department for Economy (DfE) through the International Science Partnerships Fund (ISPF) which supports collaborations between UK researchers and innovators and their peers from around the world. ASD research in general involves experts from multiple disciplines such as computer science, medical research, neuroscience, neurotechnology and experimental psychology. Through the in-person meeting at IITKORC, NOIDA, it is aimed to find common threads to work upon as a team, towards discovering neuro-markers for early detection of ASD. As the meeting involved NGO-representatives, and parents/caregivers of children with ASD, it should help each side understand the expectations of others. This should help bridge the gap between academia and affected social segment. The network will also indulge in multi-site administration of Indian Affective Picture Database (IAPD) in India and possibly other countries on neurotypical and ASD children and obtain behavioural data. At Ulster University (UK), we plan to obtain MEG scans of both groups of children, analyse the data; obtain baseline neuromarker for neurotypical and ASD children and use this to create a preliminary system to diagnose the intensity/stage of ASD. Put together, the statistical validation of the multi-site behavioural data will help evolve a culture-fair version of IAPD and the MEG data will help obtain baseline neuromarker for both the groups of children. |
Collaborator Contribution | Indian partner IITK helped organise the in-person meeting at IITKORC, NOIDA, aimed to find common threads to work upon as a team, towards discovering neuro-markers for early detection of ASD. As the meeting involved NGO-representatives, and parents/caregivers of children with ASD, it should help each side understand the expectations of others. This should help bridge the gap between academia and affected social segment. The network will also indulge in multi-site administration of Indian Affective Picture Database (IAPD) in India and possibly other countries on neurotypical and ASD children and obtain behavioural data. At Ulster University (UK), we plan to obtain MEG scans of both groups of children, analyse the data; obtain baseline neuromarker for neurotypical and ASD children and use this to create a preliminary system to diagnose the intensity/stage of ASD. Put together, the statistical validation of the multi-site behavioural data will help evolve a culture-fair version of IAPD and the MEG data will help obtain baseline neuromarker for both the groups of children. |
Impact | It just started. |
Start Year | 2024 |
Description | A UK-LMIC Research Network for Autism Spectrum Disorder (ULMiRN-ASD) |
Organisation | Indian Institute of Technology Kanpur |
Country | India |
Sector | Academic/University |
PI Contribution | The ULMiRN-ASD project is funded by NI's Department for Economy (DfE) through the International Science Partnerships Fund (ISPF) which supports collaborations between UK researchers and innovators and their peers from around the world. ASD research in general involves experts from multiple disciplines such as computer science, medical research, neuroscience, neurotechnology and experimental psychology. Through the in-person meeting at IITKORC, NOIDA, it is aimed to find common threads to work upon as a team, towards discovering neuro-markers for early detection of ASD. As the meeting involved NGO-representatives, and parents/caregivers of children with ASD, it should help each side understand the expectations of others. This should help bridge the gap between academia and affected social segment. The network will also indulge in multi-site administration of Indian Affective Picture Database (IAPD) in India and possibly other countries on neurotypical and ASD children and obtain behavioural data. At Ulster University (UK), we plan to obtain MEG scans of both groups of children, analyse the data; obtain baseline neuromarker for neurotypical and ASD children and use this to create a preliminary system to diagnose the intensity/stage of ASD. Put together, the statistical validation of the multi-site behavioural data will help evolve a culture-fair version of IAPD and the MEG data will help obtain baseline neuromarker for both the groups of children. |
Collaborator Contribution | Indian partner IITK helped organise the in-person meeting at IITKORC, NOIDA, aimed to find common threads to work upon as a team, towards discovering neuro-markers for early detection of ASD. As the meeting involved NGO-representatives, and parents/caregivers of children with ASD, it should help each side understand the expectations of others. This should help bridge the gap between academia and affected social segment. The network will also indulge in multi-site administration of Indian Affective Picture Database (IAPD) in India and possibly other countries on neurotypical and ASD children and obtain behavioural data. At Ulster University (UK), we plan to obtain MEG scans of both groups of children, analyse the data; obtain baseline neuromarker for neurotypical and ASD children and use this to create a preliminary system to diagnose the intensity/stage of ASD. Put together, the statistical validation of the multi-site behavioural data will help evolve a culture-fair version of IAPD and the MEG data will help obtain baseline neuromarker for both the groups of children. |
Impact | It just started. |
Start Year | 2024 |