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Course Material for COGNESTIC 2022

The Cognitive Neuroscience Skills Training In Cambridge (COGNESTIC) is a 2-week course that provides researchers with training in state-of-the-art methods for neuroimaging and neurostimulation. You can find more information on the COGNESTIC webpage.

Below you will find documents, videos and web links that will be used for the course or can be used for preparation.

Introduction and Open Science Rik Henson & Olaf Hauk
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Structural MRI Marta Correia
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Diffusion MRI I Marta Correia
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Diffusion MRI II Marta Correia
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fMRI I Dace Apšvalka
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fMRI II Dace Apšvalka
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fMRI III Dace Apšvalka
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fMRI IV Dace Apšvalka
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Connectivity for fMRI Rik Henson
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Eye-tracking Edwin Dalmijer
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EEG/MEG I – Pre-processing Olaf Hauk
Software	MNE-Pythonneuro
Datasets	Sample dataset in MNE-Python.
Suggested reading	Digitial Filtering Filtering How To Maxwell Filtering
Suggested viewing	Preprocessing

EEG/MEG II – Source Estimation Olaf Hauk
Software	MNE-Python
Datasets	Sample dataset in MNE-Python.
Suggested reading	Linear source estimation and spatial resolution
Suggested viewing

EEG/MEG III – Time-Frequency and Functional Connectivity Olaf Hauk
Software	MNE-Python
Datasets	Sample dataset in MNE-Python.
Suggested reading	Tutorial on Functional Connectivity
Suggested viewing	Time-frequency and functional connectivity analysis

Graph Theory Caroline Nettekoven
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MVPA/RSA I Daniel Mitchell
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MVPA/RSA II Daniel Mitchell
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Statistics in R Peter Watson
Software	R
Datasets	Data/Code/Videos Readme
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Suggested viewing	CBU Statistics Lectures

Brain Stimulation Ajay Halai
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DCM for M/EEG I Rik Henson
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DCM for M/EEG II Rik Henson
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||__Datasets__ ||[[attachment:PW SEPT 2022 R COURSE.zip|Data/Code/Videos]] [[attachment:README R COURSE.txt|Readme]]||
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||__Suggested viewing__ ||[[https://imaging.mrc%2Dcbu.cam.ac.uk/statswiki/StatsCourse%32%30%32%31/recordings|CBU Statistics Lectures]]||

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Course Material for COGNESTIC 2022