Upcoming Events

Digital Health Product Forge Feb 21, 2019 - Feb 24, 2019 — The Crags Centre, 10 Bowmont Place, Edinburgh
Professor James Boardman inaugural lecture Feb 25, 2019 05:30 PM - 06:30 PM — Lecture Theatre A, Chancellor's Building, Edinburgh, EH16 4SB
ISMRM Workshop on MR Value Mar 11, 2019 - Mar 13, 2019 — University of Edinburgh
Scotland's New Industrial Centre for AI Research in Digital Diagnostics: Vision & Opportunities in Grampian Mar 11, 2019 06:00 PM - 08:00 PM — The Rowett Institute, Ashgrove Road West, Aberdeen
Scotlands New Industrial Centre for AI Research in Digital Diagnostics: Vision & Opportunities in Glasgow Mar 14, 2019 11:30 AM - 01:30 PM — Teaching and Learning Centre, Queen Elizabeth University Hospital Glasgow

People


Your search for Keyword: 'Statistics' returned 11 Result(s)



Miss Muzammal Ayesha


Full profile…


Dr David Alexander Dickie

Structural brain ageing

White matter disease

Cognitive ageing

Stroke

Image Analysis

Alzheimer's disease and other dementias

Full profile…


Dr Robin Ince


Full profile…


Mr Conor MacDonald

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

Full profile…


Ms Shadia Mikhael


Full profile…


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 ).

 

Cognitive Computing and Neuroscience Group at UNTELS

Members:

Carlos Andrés Mugruza Vassallo -

Itamar Franco Salazar Reque - (Tesis en arbitraje). Evaluación de técnicas del problema inverso para estudio del número de señales de electroencefalograma para mecanismos cognitivos. Postgrado en Procesamiento Digital de Señales. Universidad Nacional de Ingeniería.

Yamina Andrade Huaman - “Estudio del tiempo de reacción ante un evento simulado de sismo en una adaptación de videojuego 2d para la UNTELS”. Programa de Graduación de la EAP Ing. Electrónica y Telecomunicaciones-UNTELS

Fredrich Huamani Atao - ““Diseño, implementación y evaluación de un experimento visual 2d en computación cognitiva en la UNTELS”. Programa de Graduación de la EAP Ing. Electrónica y Telecomunicaciones-UNTELS

Carlos Escobar Ulloa -

Donny Hanco -

Luz Elena Collado Arapa -

Edward Ventura Barrientos

 

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.

Full profile…


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.

Full profile…


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.

Full profile…


Mr Sam Rupprechter


Full profile…


Mr Fraser Sneden

I am a PhD student within the Institute of Cardiovascular and Medical Sciences, based at the Queen Elizabeth University Hospital in Glasgow. I am working on a project entitled "Magnetic Resonance Imaging to Assess Carotid-Brain Interactions in People with Stroke", thus my interests in the remit of this PhD include:

  • Ischaemic Stroke
  • Magnetic Resonance Imaging
  • Cognitive Functioning
  • Cerebrovascular Disease

Full profile…


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.

Full profile…