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NUS Survey regarding Disabled Student Allowance

The aim of this survey is to evaluate disabled students’ wellbeing and experiences in further and higher education. 

We hope to capture what the educational landscape looks like for disabled students 20 years on from the Disability Discrimination Act (DDA) - an anti-discrimination law which made this country a better place for many disabled people.

You will be asked questions about the accessibility of your institutions and learning environment, your understanding of your rights and experiences of discriminatory behaviour.

The information that you provide will be stored securely and personal data such as your email address will not be revealed to people outside of NUS.

If you have any questions about the survey which you would like to ask before or after taking part, please email Sally Thomas, Policy Officer (Liberation)  sally.thomas@nus.org.uk

https://www.snapsurveys.com/wh/s.asp?k=144733927859 


Computer model could hold key to personalised epilepsy treatment

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A computer model that identifies the parts of a person’s brain responsible for epileptic seizures could be used to design personalised surgical procedures.

A computer model that identifies the parts of a person’s brain responsible for epileptic seizures could be used to design personalised surgical procedures.

The research team from ICOS (based in the School of Computing Science), have used brain scans from patients with the most common type of epilepsy - temporal lobe epilepsy - and computer modelling techniques to look at the brain as an example of a computer network. By simulating brain activity within each patient-specific network, they successfully identified regions that were more prone to seizures.

The research (lead by Frances Hutchings with co-lead Dr Peter Taylor in the team of Prof Marcus Kaiser), simulated surgery by disconnecting sections of the network that corresponded to the parts of the brain most commonly removed. They also ran individual patient simulations, removing the most seizure-prone parts of the model for each person. By mimicking seizures before and after ‘surgery’, they found that patient-specific surgery showed, in every case, a significant improvement compared to removal of the regions most commonly taken out.

The research is published in PLOS Computational Biology, and is believed to be the first study to combine computational modelling of brain dynamics with patient-specific MRI data from individuals with temporal lobe epilepsy.

Read more about the research from the University press release.

Also, see this YouTube video about the research: https://www.youtube.com/watch?v=RVTrmCdufjs.


Imaging studies to understand the basis of chronic fatigue syndrome

Dr Andreas Finkelmeyer will be presenting his work:

Chronic fatigue syndrome (CFS) is a complex condition of unknown aetiology, which is associated with a range of symptoms including debilitating fatigue, post-exertional malaise, unrefreshing sleep, pain and cognitive dysfunction, among others. Many models of aetiology and disease progression have been proposed for CFS though so far none have been able to fully characterise this condition. Various imaging techniques have been used to investigate specific aspects of CFS over the years in relation to these models. This talk will provide a short overview of this work, including some results from MRI studies performed at the Newcastle Magnetic Resonance Centre/CIVI that used a wide range of MR methods to study CFS.

 

If you are able to attend, please register at: http://forms.ncl.ac.uk/view.php?id=9084


High resolution brain connectivity

Dr Peter Taylor will be presenting his work.

 

If you are able to attend, please register at: ttp://forms.ncl.ac.uk/view.php?id=9084


Investigating effect of dystrophin loss on brain function in mouse models for Duchenne Muscular Dystrophy

Emine Bagdatlioglu will be presenting work.

 

If you are able to attend, please register at: ttp://forms.ncl.ac.uk/view.php?id=9084


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