MRC Cognition and Brain Sciences UnitCOGNESTIC
Cognitive Neuroimaging Skills Training In Cambridge
18-29 September 2023
MRC Cognition and Brain Sciences Unit, University of Cambridge
The Cognitive Neuroimaging Skills Training In Cambridge (COGNESTIC) summer school will provide researchers with training in state-of-the-art methods for open neuroimaging analysis and related methods. We will use a variety of open-source software and data formats (such as NiPype, fMRIprep, MNE-Python, BIDS) to demonstrate and explain reproducible analysis pipelines for neuroimaging data. The sessions will provide practical demonstrations of these analysis pipelines, with opportunities for attendees to practice them hands-on. We will provide extensive online materials on the theoretical background of the methods in advance, e.g. in bespoke videos created by our tutors. Special guest lectures by principal investigators will showcase the application of neuroimaging methods in cognitive and clinical neuroscience. We will also offer tours of the CBU’s lab facilities with an opportunity to discuss best practice in data acquisition. There will be ample time for attendees to interact with tutors and fellow attendees.
The registration fee for COGNESTIC 2023 is £900. This will include lunches, refreshments and two social events, but not accommodation and dinners.
This year’s COGNESTIC is currently in full swing.
If you are interested in next year’s event, please email olaf.hauk@mrc-cbu.cam.ac.uk.
Feedback from last year’s COGNESTIC:
Possible funding options (please check for eligibility):
Possible accommodation options:
Please note we do not offer accommodation as part of the course, but you may find the following links useful.
University Rooms (College accommodation)
Cambridge Accommodation Notice Board
Schedule
Click on a title of a session to find more information about course material and suggested reading (which will be updated nearer to the event), and click on the names of the presenters to learn more about them.
| Mon, 18 | Tue, 19 | Wed, 20 | Thu, 21 | Fri, 22 | Sat, 23 | |
| 9-12.00 | Open Science |
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Structural MRI II – Surface-based analyses | Diffusion MRI II – Tractography and the anatomical connectome | Lab visits
(fMRI, EEG/MEG, TMS) 10-12.00 |
| Lunch, Q&A | ||||||
| 13.30-16.30 | Primer on Python |
Structural MRI I – Voxel-based morphometry
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Diffusion MRI I – The diffusion tensor model Marta Correia |
Data Clinic
All |
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| Tea, Q&A | ||||||
| 17.00
PI Talks |
Large-scale, multimodal imaging: the CamCAN example | Dynamic causal models of dementia
Followed by Nibbles, Drinks and Pizza in the CBU garden |
Brain plasticity for alternative hand control: From phantoms to robotic fingers | Development, Disorders and Data Science |
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Mon, 25 |
Tue, 26 | Wed, 27 | Thu, 28 | Fri, 29 |
Sat, 30 |
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| 9-12.00 | fMRI Connectivity | EEG/MEG II – Source Estimation | EEG/MEG VI – Advanced Topics Olaf Hauk & Máté Aller |
MVPA/RSA I | Brain Stimulation, Plethysmography, Electromyography | |
| Lunch, Q&A |
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| 13.30-16.30 | EEG/MEG I – Pre-processing | EEG/MEG III – Time-Frequency Analysis Olaf Hauk |
Brain Network Analysis Isaac Sebenius |
MVPA/RSA II Daniel Mitchell & Olaf Hauk |
Data Clinic
All |
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| Tea, Q&A | ||||||
| 17.00
PI Talks |
Localising and understanding the neural systems for processing spoken words | Using MRI protocols from the Human Connectome Project for precision imaging of the multiple demand system | Applying neuroimaging to understand rare genomic disorders | Social Event:
Night Out at the Tivoli (with pizza and crazy golf) from 19.00 |
