CAFACHEM 2020 Summer School on Organic & Halogen Radiochemistry Aug 26, 2020 - Aug 28, 2020 — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 02:30 PM — Virtual Meeting (online)
Society for Magnetic Resonance Angiography - SMRA2020 VIRTUAL Sep 11, 2020 - Sep 13, 2020 — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)

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

Dr Nicolás Rubido

Home page: Go to homepage
Position: Research Fellow

Interests:

My research interests are focused on Complexity issues. In general, the complex systems that I research involve Coupled Dynamical Systems, namely, many non-trivially interacting sub-systems. I try to measure, explain, and/or predict their collective behaviour (for example, the emergence of synchronization or chaotic dynamics) in terms of how they are inter-connected, namely, in terms of the topological features of the underlying network topology (i.e., Graph Theory).

In particular, I am fascinated by Network Neuroscience research, where Complexity challenges abound -- neurons in the brain create a myriad of dynamical behaviours due to their intricate connectivity in order for us to function and our observations can only access these behaviours by indirect measurements (such as EEGs or MRIs). What happens when a disease affects the brain connectivity? How do we manage to infer the connectivity from indirect measurements? What can we say about the different states of consciousness? How can we develop/improve methods to understand all these issues? These (and other) questions are the ones that I am currently interested in answering.

Institute: Institute of Medical Sciences

Department: Aberdeen Biomedical Imaging Centre


Research Themes

I am part of a RSAT project, focused on developing a model of brain impaired functions in Alzheimer’s disease from large-scale brain networks, rather than on existing diagnostic categories. The objective of the overall project is to develop novel neuroimaging-informed ways to classify Alzheimer’s disease and mild cognitive impairment. Neuroimaging-defined connectomes will be linked to specific behavioural and cognitive scores, aiming to help in early diagnosis.

  • Neuroimaging Research
  • Alzheimer's and Dementia Research
  • Functional Connectivity Research
  • Image Analysis
  • Time-series Analysis
Key Publications

Collaborators
  • Dr. Vesna Vuksanovic, Aberdeen Biomedical Imaging Centre, Aberdeen AB25 2ZD, United Kingdom.
  • Dr. Murilo S. Baptista, University of Aberdeen, Institute for Complex Systems and Mathematical Biology, Aberdeen AB24 3UE, United Kingdom
  • Prof. Celso Grebogi, University of Aberdeen, Institute for Complex Systems and Mathematical Biology, Aberdeen AB24 3UE, United Kingdom