MRC Cognition and Brain Sciences UnitCOGNESTIC
Cognitive Neuroimaging Skills Training In Cambridge
16-27 September 2024
MRC Cognition and Brain Sciences Unit, University of Cambridge
The event is now fully booked and we cannot accept more registrations.
You can still contact cognestic (at) mrc-cbu.cam.ac.uk for more information.
The two-week 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, focusing on MRI, fMRI and EEG/MEG. We will use a variety of open-source software and data formats (e.g. DiPy, Nilearn, MNE-Python, FSL, Freesurfer, fMRIprep, BIDS) and software packages to demonstrate and explain reproducible analysis pipelines for neuroimaging data, mostly based on Python. The sessions will provide theory and practical demonstrations of these analysis pipelines, with opportunities for attendees to practice them hands-on. We will supply 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 event is aimed at researchers who are starting or are planning to start their own neuroimaging research. Basic knowledge of neuroimaging techniques and coding would be useful but is not essential.
The registration fee for COGNESTIC 2024 is £900. This will include lunches, refreshments and two social events, but not accommodation and dinners. We offer a discount of 50% to attendees from UNESCO low and lower-middle income countries. Registration deadline is 31 July 2024.
Feedback from previous COGNESTICs:
Schedule
Click on the names of the presenters to learn more about them.
| Mon, 16 | Tue, 17 | Wed, 18 | Thu, 19 | Fri, 20 | Sat, 21 | |
| 9-12.00 |
Introduction Primer on Python |
Structural MRI I – VBM and surface-based analysis |
Diffusion MRI I – Preprocessing, model fitting and group analysis |
fMRI I – Data Management |
fMRI III – Analysis |
(fMRI, EEG/MEG, TMS) 10-12.00 |
| Lunch, Q&A | ||||||
| 13.30-16.30 |
Statistics |
Structural MRI II – Surface-based analyses |
Diffusion MRI II – Tractography and the anatomical connectome |
fMRI II – Preprocessing |
Data Clinic All |
|
| Tea, Q&A | ||||||
|
17.00 PI Talks |
Using MVPA/RSA to understand visual attention |
Brain plasticity for alternative hand control: From phantoms to robotic fingers Followed by Nibbles, Drinks and Pizza in the CBU garden |
Large-scale, multimodal imaging: the CamCAN example |
Multimodal imaging for clinical research |
|
Mon, 23 |
Tue, 24 | Wed, 25 | Thu, 26 | Fri, 27 |
Sat, 28 |
|
| 9-12.00 |
fMRI Connectivity |
EEG/MEG I – Pre-processing |
EEG/MEG III – Time-Frequency Analysis |
MVPA I – Classification |
Combining Neurostimulation with Neuroimaging |
|
| Lunch, Q&A |
||||||
| 13.30-16.30 |
Brain Network Analysis |
EEG/MEG II – Source Estimation |
EEG/MEG IV – Statistics & BIDS
|
MVPA II – RSA |
Data Clinic All |
|
| Tea, Q&A | ||||||
|
17.00 PI Talks |
Multimodal imaging in semantic dementia and stroke |
Using MRI protocols from the Human Connectome Project for precision imaging of the multiple demand system |
Localising and understanding the neural systems for processing spoken words |
Applying neuroimaging to understand rare genomic disorders ~7pm onwards: Social Event
|
Selected Topics
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)
