United Kingdom



Neuroimaging Research Group, Aston University 

 

 

General Information :uk_1.jpg

  • Location: Birmingham, UK
  • Equipment:
          - 128 channel EGI EEG
          - 275 channel MEG
          - Siemens Trio 3T MRI
          - TMS, Multifocal ERG
          - CRS visual stimulus suite
  • Personnel:
          - 9 full-time researchers
          - 6 post-graduates
          - 4 PhD students
  • Contact: Prof. Stefano Seri
  • Email: s.seri@aston.ac.uk




The Main Research Lines :uk_2.png

  • Development of source models and statistical methods to test inversion assumptions.
  • Measures of interaction between cortical areas.
  • Investigating through modelling and measurement the properties of oscillatory electro-magnetic activity
  • Measuring coupling between haemodynamic response and EEG and MEG

 

 

What it is offered to the other NEUROMATH partners :

  • Hosting PhD/Postdoctoral Fellows funded by STSM to acquire experience in MEG source estimation using beamformer techniques
  • Hosting PhD/Postdoctoral Fellows funded by STSM on collaborative projects on induced changes in brain oscillatory activity during perceptual or cognitive stimuli
  • Acquisition and analysis of high-resolution EEG and EEG-triggered fMRI paradigms 



What we are looking for in the other NEUROMATH partners :

  • Collaboration on implementation of Bayesian methods.
  • Collaboration on behaviour of coupled non-linear systems.
  • Collaboration on EEG-triggered fMRI paradigms and analysis methods

 

 

uk_3.jpg






MRI Unit, Dept of Clinical and Experimental Epilepsy, Institute of Neurology,
University College London, Queen Square

 

General Information:

  • Location: London, UK
  • Personnel: 3 professors, 6 researchers, 5 PhD students
  • Equipment: 3T MR, 32-c MR-compatible EEG (, access to MEG)
  • Contact: Prof. Louis Lemieux
  • Email: l.lemieux@ion.ucl.ac.uk



Main lines of research :

Application of advanced MR techniques:

  • to improve our ability to detect abnormalities that underlie a patient’s epilepsy
  • to improve our ability to localise the generators of interictal and ictal epileptiform discharges
  • to improve our understanding of the pathological substrate of epilepsy

 

What we can offer to  NEUROMATH partners :

  • Hosting PhD students and researchers
  • Sharing resting-state EEG-fMRI data processing and analysis methods
  • Sharing high-quality structural MRI data (for source reconstruction purposes)
  • Sharing resting-state MEG data



What we are looking for from other NEUROMATH partners :

  • Algorithms for background EEG segmentation & classification
  • Algorithms for the estimation of deep sources responsible for EEG (& MEG) signals

 

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