Upcoming Events

TOPIM ("hot TOPics in IMaging") 2018: Imaging Metabolism Jan 21, 2018 - Jan 26, 2018 — L'Ecole de Physique des Houches, France
SINAPSE Molecular Imaging PET/SPECT focus group meeting Feb 05, 2018 10:30 AM - 04:00 PM — Carnegie Lecture Theatre (C3-05), Joseph Black Building, School of Chemistry, University of Glasgow
'Let's Talk About Health' free public lecture Feb 21, 2018 05:30 PM - 06:30 PM — Wellcome Auditorium, Queen’s Medical Research Institute, University of Edinburgh
British Cardiovascular Imaging 2018 May 02, 2018 - May 04, 2018 — John McIntyre Conference Centre, Edinburgh

People


Your search for Keyword: 'Statistics' returned 10 Result(s)



Miss Muzammal Ayesha


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Dr David Alexander Dickie

Structural brain ageing

White matter disease

Cognitive ageing

Stroke

Image Analysis

Alzheimer's disease and other dementias

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Dr Robin Ince


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Mr Conor MacDonald

PhD student in clinical imaging and data mining. Focus on predictive markers of vascular access outcome for haemodialysis.

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Ms Shadia Mikhael


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Dr. Carlos Mugruza-Vassallo

Description of PhD:

Fox et al. (Fox et al., 2005)  hypothesize that a dorsal ‘goal-driven’ attention network controls environmentally directed processes (perception and action) and a ‘default network’ controls internally directed processes (memory and introspection). Within this model it was hypothesised that a ventral ‘stimulus-driven’ network facilitates reorientation in goal driven attention as well as between internally and externally directed processing modes. We have demonstrated abnormal patterns of brain activity in both the goal-driven and stimulus driven networks in individuals with a history of mild concussion (Potter et al., 2001) and in patients diagnosed with schizophrenia (Potter et al., 2008). These abnormalities may result from reduced effectiveness of frontal control caused by diffuse neurotransmitter imbalances (Rolls et al., 2008). The research extended our previous work by providing a better understanding of the role of the stimulus-driven system in switching between goal-driven and default processing modes (Mugruza-Vassallo, 2015 http://discovery.dundee.ac.uk/portal/files/8267183/CAR_FE_PhD2015_VIVA.pdf ).

Collaboration and Aims: Carlos Mugruza is working between Computing and Cognitive Neuroscience. In the last years he has worked with EEG and fMRI, his experiments are between oddball paradigms, Go-NoGo, 3D and augmented reality.

Since 2013, Carlos Mugruza and Douglas Potter continued the analysis of data between the University of Dundee and the Cognitive Neuroscience Group in Peru. Therefore the aims are:

- To better characterise the function of the stimulus-driven system by determining the effects of task load and distractor contingency on  the temporal relationships between the components of the stimulus-driven system.

- To better characterise the function of the stimulus-driven system by inducing more explicit switching and maintenance of processing modes.

Experimental Methods: Combine fMRI and EEG to visualise selective activation or suppression of posterior and anterior components of the ‘stimulus-driven’ control system while participants perform a number decision paradigm in which the temporal and spatial relationship of goal relevant and distractor stimuli are systematically manipulated. Basically EEG signals are modeled as

EEG = β0 + ∑ βiSi + β3A3 + Error

This equation considers 2 categorical variables as regressors.

Theoretical Methods: An information theory framework is being used. Simulation of the information of the auditory parity experiment has shown around 300 ms CTOA a saddle indentation in the curve of the information measure based on the states of the incoming signal.

Expected Outcomes: The development of optimised, inexpensive (EEG), measures of cognitive control for use assessment attention functions. Two specific use are in neuromarketing and in the pharmacological efficacy in patients diagnosed with schizophrenia, depression and mild cognitive impairment.

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Miss Emma Pead

Assessing neurodegeneration of the retina and brain with ultra-widefield retinal images.

Philosophers have often described the eye as the window to the soul. This can also be addressed on the scientific basis that the retina is a direct window into the health of the brain (or CNS). My focus is on the development of automatic detection algorithms of biomarkers for Age-related macular degeneration (AMD) and Alzheimer’s disease (AD) in retinal images. AMD is often characterised by the presence of drusen, small deposits of cellular debris, in retinal images appearing as bright white/yellow spots. The hallmark of AD is the presence of Aβ-amyloid which has also been shown to be present in drusen. There are currently no treatments for late AMD, therefore early diagnosis and detection of drusen could provide timely treatment. Additionally, the potential of drusen as an early biomarker of AD will be explored. My methods focus on image analysis and quantification of fundus and OptoMap images (Optos) and application of machine learning algorithms as an automatic detection strategy.

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Dr Cyril Pernet

I am broadly interested in cognitive neurosciences; within this field my research focuses on categorization processes and language, and by extension, language disorders. I also enjoy studying and developing methodological tools to analyze data coming from MRI, fMRI and EEG systems.

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Professor Douglas Steele

Mood Disorder and Addictions, Anxiety/Panic Disorders, Schizophrenia, Dementia, Neurological Disorders (e.g. Dystonia, Chronic Pain Syndromes)

 

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    Mr Shaun R. Stone

    Shaun is currently on his second year of his PhD studentship in Medical Imaging at the University of Aberdeen. His project is titled, “Prediction Models of Dementia Risk from Brain MR and Proxies of Cognitive Reserve” with Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partnership IXICO. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.

    Shaun is currently on his second year of his PhD studentship in Medical Imaging at the University of Aberdeen. His project is titled, “Prediction Models of Dementia Risk from Brain MR and Proxies of Cognitive Reserve” with Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partnership IXICO. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.

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