Rosetrees Interdisciplinary workshop on neurodegenerative diseases of the brain Feb 10, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
iCAIRD, NHS GG&C and NVIDIA: AI in Healthcare Feb 25, 2021 09:00 AM - 12:15 PM — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
Total Body PET 2021 conference [rescheduled] Sep 25, 2021 - Sep 27, 2021 — McEwan Hall, University of Edinburgh

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Ms Jessica Strozyk

Position:
Institute:
Department:


Description of Phd:

 

In recent years a range of neuroimaging techniques has been developed and successfully applied to increase our understanding of the behavioural significance of specific brain responses. However, many of these brain techniques face a serious problem in that usually a large number of similar events is presented and averaged in order to increase the signal strength relative to large background activity,which is unrelated to processing of that specific event. For example, in an event-related design (using event-related brain potential (ERP) or fMRI recordings) aimed at studying the processing differences between categories of stimuli, stimuli of different categories are repeatedly presented and averaged for analysis of category differences. However, averaging over repeatedly presented similar events is only justified if one assumes that each presentation produces an equivalent behavioural and/or brain response. This independence assumption is not fulfilled, that is, both behavioural and brain responses show a substantial trial-to-trial variability. For example, it is known for a long time that the nature of events earlier in the temporal sequence of events strongly influence current trial processing. Also, general effects of fatigue over a lot of trials can strongly modify our brain responses. The aim of the current proposal is therefore to address these two topics and investigate the neural mechanisms of such trial-to-trial variability, and develop a single trial analysis method to correlate behavioural responses to single-event brain activity at the single event level.  The ERP labs in St Andrews (Dr Jentzsch) and Stirling (Prof Donaldson) are ideally suited for this project. The labs use different ERP amplifier systems as well as different data processing and analysis software giving us the unique opportunity to develop a single-trial analysis protocol that can be used by all SINAPSE-ERP centers. We will use different experimental paradigms to study sequential dependencies, ranging from memory to cognitive control paradigms. Again, using a wide range of tasks will insure that the analysis guidelines are sufficiently general to be relevant to other users.