The Crick Institute, London, UK  //  23 – 24 September 2019

Now that I have acquired these exciting imaging data, what is next?

 

Voxelwise 2019 was a great success.
To see more about how it went, download slide packs and check out supplementary materials, click here.

Motivation

Preclinical MR scanners are getting more numerous, but analysis of preclinical neuroimage data is lagging behind human brain mapping. This workshop aims to address this gap, bringing together world-leading experts and “hands-on” professionals who will introduce you to best practices and share expertise.

 

Aims

Provide a comprehensive introduction to analysis methods in preclinical neuroimaging

Consider issues relating specifically to the preclinical field, including: rodent brain templates and ROIs; integration of MRI with other modalities; custom software & pipelines for rodent structural and functional imaging (e.g. RMINC, SPM mouse).  

 

Who is it for?

Anyone already generating or planning to generate preclinical neuroimage data using MRI and corroborative methods. 

We aim to strike a balance so that the sessions will be useful to novices, non-computer specialists and experts alike. Breakout sessions will facilitate networking. Comprehensive post-workshop support materials will reinforce what you learned at the sessions and will help you take forward your plans with experts. For those already experienced in coding and scripting their own protocols, the workshops will offer opportunities to discuss best practices with experts. 

Techniques covered

• Magnetic resonance imaging: structural and functional

• Other imaging methods e.g. histology and autoradiography

• Multimodal imaging

Overview of Topics (full program here)

• Fundamentals of rodent brain anatomy

• Brain atlases

• MRI & corroborative methods

• Image registration & morphometry

• Templates & regions of interest

 

 • DTI, tractography, biophysical models

• Functional imaging & time-course data

• Resting- and fMRI

• Multimodal imaging & transcriptomics

• Deep learning & AI

Confirmed Speakers

Jason Lerch (University of Oxford)

Stephen Sawiak (University of Cambridge)

Joanes Grandjean (Radboud University)

Daniel Gutierrez (Istituto Italiano di Technologia)

Yohan Yee (University of Toronto)

Andreas Hess (Erlangen-Nürnberg)

Mark Horsfield (Xinapse Systems)

 

Jorge Cardoso (King’s College London)

Flavio Dell’Acqua (King’s College London)

Konstantinos Meletis (Karolinska Institute)

Marta Vicente-Rodriguez (King’s College London)

Marco Palombo (UCL)

Peter Damberg (Karolinska)

Artem Shatillo (Charles River)

 

And Organisers

The workshop will run from  approximately 9:30am on Monday 23rd until 4:30pm on Tuesday 24th September 2019.

There will be talks and breakout sessions, where you can meet the speakers or try any recommended software, scripts or pipelines. Example data sets and other information will be provided in advance.

An updated programme for the event is provided here.  Download supporting materials here.

Space is limited so registration is essential. The cost of registration is £100 for both days (£50 for those with KCL, Imperial, UCL or Crick email address). 

Registrations have now closed. If you want us to check whether we can still squeeze you in, email us at voxelwise@kcl.ac.uk.

Catering (lunch and refreshments) is provided by the Crick Institute. There will be an evening drinks reception on Monday 23rd for all attendees.

This workshop is an activity of The BRAIN Centre (KCL), The Crick Institute, Imperial College and UCL, and it is generously sponsored by the Crick networking fund, CMIC, ARC and Bruker.

Our thanks to Louise Howitt (Crick) for helping to organize the event.  

For further information contact Diana and Karen at voxelwise@kcl.ac.uk

Sponsors