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Your search for Keyword: 'Executive Function' returned 11 Result(s)
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Dr Satu Baylan
- Interventions for mood and cognitive recovery after stroke: music based interventions; positive psychotherapy
- Sleep difficulties following brain injury
- Implementation of evidence based care
- Cognitive rehabilitation interventions (eg Goal Management Training) inc. functional imaging of their effects
- Neuropsychological assessment of attention, memory and executive functions in the context of brain injury and healthy ageing
Dr Simon R. Cox
Dr Kristin Flegal
I worked as the SINAPSE Lead Scientist from June 2015 until April 2021. My background is in Psychology with a concentration in Cognitive Neuroscience, through which I gained experience conducting fMRI neuroimaging research.
Since May 2021 I have taken up the role of Senior Project Manager responsible for the Advanced Imaging workstream of the UKRI SiPF Living Laboratory programme.
Dr Alexa Morcom
Memory, ageing, fMRI, EEG, ERPs
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.
Dr Kristin Nicodemus
Social cognition, neuroeconomics, computational psychiatry, schizophrenia, anxiety, bipolar disorder, depression, imaging genetics
Miss Katerina Pappa
I am interested in individuals with acquired brain injury (ABI) suffering from executive dysfunction. In my PhD, I aim to develop and test a novel intervention combining an existing rehabilitation program training compensatory mental strategies called Goal Management Training; with an adaptive, process-based computerised intervention aimed at enhancing working memory processes. I will also acquire fMRI data to investigate the underlying neural changes as a result of training.
Alexia Revueltas
- Neuropsychology of attention and executive functions
- Embodied cognition
- Correlates of task engagement
- Children science learning
Dr Blair Saunders
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).
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.
