Upcoming Events

A Celebration of the IDentIFY project and Ten Years of ABIC Oct 22, 2019 09:30 AM - 03:30 PM — Suttie Centre for Teaching & Learning in Healthcare, Medical School Campus, University of Aberdeen
4D flow MRI workshop Oct 22, 2019 12:30 PM - 04:30 PM — ICE Building, Queen Elizabeth University Hospital Glasgow
NRS Mental Health Network Annual Scientific Meeting 2019 Oct 29, 2019 09:00 AM - 04:30 PM — Technology Innovation Centre, 99 George Street, Glasgow
PET is Wonderful Annual Meeting 2019 Oct 29, 2019 09:00 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
Scottish Radiological Society Annual General Meeting 2019 Nov 01, 2019 12:00 AM — Principal Grand Central Hotel, Glasgow

People


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



Dr Satu Baylan

  • Neuropsychological assessment of memory, attention and executive functions in the context of brain injury and healthy ageing.
  • Cognitive rehabilitation interventions (eg Goal Management Training).
  • Functional imaging of the effects of cognitive rehabilitation interventions.
  • Treatment of mood disorders after stroke (music based interventions and positive psychotherapy).

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Dr Simon R. Cox


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Dr Kristin Flegal

My background is in Psychology, with a concentration in Cognitive Neuroscience, and I am interested in neuroimaging research integrating basic science with clinical and translational applications. My current research uses behavioural and fMRI methods to investigate the mechanisms of cognitive training and transfer, and associated changes in patterns of brain activity. By studying the mediators of neural plasticity and identifying brain-based principles for the transfer of training, I hope to contribute to the development of interventions targeting cognitive deficits in populations ranging from brain injury to psychiatric disorders to normal ageing.

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Olivia Hamilton

I am interested in the vulnerability of the ageing brain, especially changes cognitive ability and behaviour that can occur as part of 'healthy' ageing, or as a result of diseases such as stroke or dementia.

My PhD project focuses on changes in cognitive ability in cerebral small vessel disease and how this might relate to structural brain changes that occur throughout the disease course.

Currently, I am conducting a systematic review on the associations between domain specific cognitive ability and structural brain changes (visible on MRI) in sporadic small vessel disease (https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=80215). I am also employing structural equation modelling techniques to investigate the relationship between visible MRI markers of sporadic small vessel disease and cognitive ability longitudinally in several large cohorts.

My research aims to better characterise the cognitive symptomatology of cerebral small vessel disease and its trajectory over the disease course; examine how this relates to underlying changes in brain structure; and to explore how we can use neuroimaging, psychological and epidemiological data to more accurately predict outcomes for people with cerebral small vessel disease.

Supervisors: Professor Joanna Wardlaw and Professor Ian Deary

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Dr Alexa Morcom

Memory, ageing, fMRI, EEG, ERPs

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Dr Louise Brown Nicholls

My research is focused on attention and short-term ('working') memory in younger and older adults. I have a special interest in the effects of adult ageing on visual-spatial working memory. I am an experimental psychologist and primarily use behavioural measures, however I also have an interest in EEG/ERPs.

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Dr Kristin Nicodemus

Social cognition, neuroeconomics, computational psychiatry, schizophrenia, anxiety, bipolar disorder, depression, imaging genetics

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Alexia Revueltas

  • Neuropsychology of attention and executive functions
  • Embodied cognition
  • Correlates of task engagement
  • Children science learning

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Dr Blair Saunders


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Dr Astrid Schloerscheidt

I am interested in individual differences in memory processing, in particular in how far certain personality traits can explain such differences. The personality trait I am particularly interested in is extraversion as this trait has been linked to the functioning of the dopamine system. This relationship allows me to treat measures of extraversion as a proxy measure of dopamine availability and thus make an attempt to link differences in the efficiency of the dopamine system to potential differences in memory processing. I study this question using EEG/ERP using already established ERP measures to investigate whether levels of extraversion (and thus dopamine availability) affect processes underlying memory encoding and retrieval. The use of EEG/ERP is particularly useful as it will show differences in neuronal processing even in the absence of behavioural differences (i.e. differences in memory performance).

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Shaun R. Stone

Shaun Stone is a final year Ph.D. ERC studying Medical Imaging at the University of Aberdeen under the supervision of Professor Alison Murray. He is the deputy student lead of the Image Analysis group of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), a consortium of seven Scottish universities. His research is titled “Cognitive Reserve Estimation Models from Brain MRI in Healthy Ageing: A Machine Learning Approach”, under the supervision of 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 partners IXICO.

His project aims to identify the most important MR imaging biomarkers that influence differences in cognitive resilience. That is, given the life-course of an individual, what are the imaging characteristics that allow us to predict increased risk of cognitive impairment? Further, what factors provide resilience against age- and disease-related brain changes? He is passionate about computational neuroscience, artificial intelligence and computer-assisted diagnosis in medical imaging. 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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