COGNESTIC2022 - Methods

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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

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MNE-Pythonneuro

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Sample dataset in MNE-Python.

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Digitial Filtering
Filtering How To
Maxwell Filtering

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Preprocessing


EEG/MEG II – Source Estimation
Olaf Hauk

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MNE-Python

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Sample dataset in MNE-Python.

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Linear source estimation and spatial resolution

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EEG/MEG III – Time-Frequency and Functional Connectivity
Olaf Hauk

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MNE-Python

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Sample dataset in MNE-Python.

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Tutorial on Functional Connectivity

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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

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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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