Upcoming Events

Edinburgh Imaging PhD Expo 2018 Oct 18, 2018 01:30 PM - 06:00 PM — Room G07, Informatics Building, University of Edinburgh
PET is Wonderful Annual Meeting 2018 Oct 29, 2018 09:00 AM - 05:00 PM — South Hall Complex, Pollock Halls, University of Edinburgh
2018 NHS Research Scotland Annual Conference Oct 30, 2018 09:00 AM - 05:00 PM — Perth Concert Hall
8th SINAPSE Neuro-oncology Meeting Oct 30, 2018 09:30 AM - 04:00 PM — Royal College of Physicians and Surgeons of Glasgow, 232-242 St Vincent Street, Glasgow
Image Guided Therapies Network+ Tri-Annual Meeting Nov 01, 2018 10:00 AM - 05:00 PM — Wolfson Lecture Theatre, Ninewells Hospital, Dundee

People


Your search for Keyword: 'Statistics' returned 12 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

Additionally, I am interested in cognitive dysfunction associated with neurodegenerative diseases, including my previous work in "the biological bases of processing speed in Alzheimer's disease".

Full profile…