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||||||<tablewidth="100%"style="text-align:center">~+'''Structural MRI '''+~<<BR>> Marta Correia || | ||||||<tablewidth="100%"style="text-align:center">~+'''Structural MRI - VBM and Surface-based Analysis '''+~<<BR>> Marta Correia || |
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||__Suggested viewing__ ||[[https://www.youtube.com/watch?v=6eJMxh7PlOY|Using the command line]] <<BR>> Introduction to MRI Physics talk coming soon. || | ||__Suggested viewing__ ||[[https://www.youtube.com/watch?v=6eJMxh7PlOY|Using the command line]] <<BR>> [[https://youtu.be/Psh-GovQLiI|Introduction to MRI Physics and image contrast]] || |
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||||||<tablewidth="100%"style="text-align:center">~+'''Diffusion MRI I'''+~ <<BR>> Marta Correia || | ||||||<tablewidth="100%"style="text-align:center">~+'''Diffusion MRI I - DTI Model Fitting and Group Analysis'''+~ <<BR>> Marta Correia || |
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||__Suggested viewing__ ||Introduction to Diffusion MRI talk coming soon. || | ||__Suggested viewing__ ||[[https://youtu.be/stpmlzO7b6c|Introduction to Diffusion MRI - Part I]] || |
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||||||<tablewidth="100%"style="text-align:center">~+'''Diffusion MRI II'''+~ <<BR>> Marta Correia || | ||||||<tablewidth="100%"style="text-align:center">~+'''Diffusion MRI II - Tractography and Structural Connectivity'''+~ <<BR>> Marta Correia || |
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||__Suggested reading__ ||[[https://www.sciencedirect.com/science/article/pii/B9780123964601000196|MR Diffusion Tractography]] || ||__Suggested viewing__ ||Introduction to Diffusion MRI talk coming soon. || |
||__Suggested reading__ ||[[https://mrtrix.readthedocs.io/en/latest/|MRtrix3 documentation]] <<BR>> [[https://www.sciencedirect.com/science/article/pii/B9780123964601000196|MR Diffusion Tractography]] || ||__Suggested viewing__ ||[[https://youtu.be/QDJJ6G2ZouA|Introduction to Diffusion MRI - Part II]] || |
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||__Suggested reading__ ||[[https://doi.org/10.1038/sdata.2016.44|Gorgolewski et al, 2016, The brain imaging data structure (BIDS)]] || | ||__Suggested reading__ ||[[https://doi.org/10.1038/sdata.2016.44|Gorgolewski et al., 2016, The brain imaging data structure (BIDS)]] || |
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||__Suggested reading__ ||...coming soon... || ||__Suggested viewing__ ||...coming soon... || |
||__Suggested reading__ ||[[https://link.springer.com/article/10.1007/s11065-015-9294-9|Chen & Glover (2015), Functional Magnetic Resonance Imaging Methods]]<<BR>> [[https://mriquestions.com/uploads/3/4/5/7/34572113/ch2.pdf|Ashburner J & Friston KJ (2004), Rigid body registration]]<<BR>> [[https://doi.org/10.1002/mrm.24314|Maclaren et al. (2013), Prospective Motion Correction in Brain Imaging: A Review]]<<BR>> [[https://doi.org/10.1016/j.neuroimage.2011.06.078|Sladky et al. (2011), Slice-timing effects and their correction in functional MRI]]<<BR>> [[https://doi.org/10.1006/nimg.2000.0609|Friston et al. (2000), To Smooth or Not to Smooth?: Bias and Efficiency in fMRI Time-Series Analysis]]<<BR>> [[https://www.nature.com/articles/s41592-018-0235-4|Esteban et al., 2018, fMRIPrep: a robust preprocessing pipeline for functional MRI]] || ||__Suggested viewing__ ||From the Principles of fMRI by Martin Lindquist and Tor Wager:<<BR>> [[https://youtu.be/7Kk_RsGycHs|fMRI Artifacts and Noise]] (11:57)<<BR>>[[https://youtu.be/Qc3rRaJWOc4|Pre-processing I]] (10:17)<<BR>>[[https://youtu.be/qamRGWSC-6g|Pre-processing II]] (7:42) || |
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||__Suggested viewing__ ||[[https://youtu.be/1VOKsWWLgjk|fMRI Functional Connectivity, including DCM]] <<BR>> Talk on Bayesian Model Comparison coming soon || | ||__Suggested viewing__ ||[[https://youtu.be/1VOKsWWLgjk|fMRI Functional Connectivity, including DCM]] <<BR>> [[https://youtu.be/1cbEmn_Qgkc|Bayesian Model Comparison (for DCM for fMRI/MEEG)]] || |
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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 |
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Websites |
||
Suggested reading |
Munafo et al, 2017, problems in science |
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Suggested viewing |
Statistical power in neuroimaging |
Structural MRI - VBM and Surface-based Analysis |
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Software |
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Datasets |
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Suggested reading |
Introduction to GLM for structural MRI analysis |
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Suggested viewing |
Using the command line |
Diffusion MRI I - DTI Model Fitting and Group Analysis |
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Software |
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Datasets |
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Suggested reading |
FSL Diffusion Toolbox Wiki |
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Suggested viewing |
Diffusion MRI II - Tractography and Structural Connectivity |
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Software |
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Datasets |
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Suggested reading |
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Suggested viewing |
fMRI I - Data management, structure, manipulation |
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Software |
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Datasets |
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Suggested reading |
Gorgolewski et al., 2016, The brain imaging data structure (BIDS) |
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Suggested viewing |
BIDS for MRI: Structure and Conversion by Taylor Salo (13:39) |
fMRI II - Quality control & Pre-processing |
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Software |
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Datasets |
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Suggested reading |
Chen & Glover (2015), Functional Magnetic Resonance Imaging Methods |
|
Suggested viewing |
From the Principles of fMRI by Martin Lindquist and Tor Wager:<<BR>> fMRI Artifacts and Noise (11:57) |
fMRI III - Statistical Analysis |
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Software |
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Datasets |
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Suggested reading |
...coming soon... |
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Suggested viewing |
...coming soon... |
fMRI IV - Reporting |
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Software |
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Datasets |
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Suggested reading |
...coming soon... |
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Suggested viewing |
...coming soon... |
Connectivity for fMRI |
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Software |
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Datasets |
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Suggested reading |
Resting-state functional Connectivity |
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Suggested viewing |
fMRI Functional Connectivity, including DCM |
Eye-tracking |
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Software |
Python NumPy, SciPy, Matplotlib |
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Datasets |
EyeLink EDF examples (to be provided) |
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Suggested reading |
https://doi.org/10.3758/s13428-021-01762-8 Paper on eye-tracking reporting standards (great for beginners and experts alike) |
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Suggested viewing |
https://www.youtube.com/watch?v=F5eBln42VyM Talk at the MRC CBU on how to hack pupillometry studies |
EEG/MEG I – Pre-processing |
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Software |
MNE-Pythonneuro |
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Datasets |
Sample dataset in MNE-Python. Tutorials |
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Suggested reading |
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Suggested viewing |
EEG/MEG II – Source Estimation |
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Software |
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Datasets |
Sample dataset in MNE-Python. Tutorials |
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Suggested reading |
||
Suggested viewing |
EEG/MEG III – Time-Frequency and Functional Connectivity |
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Software |
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Datasets |
Sample dataset in MNE-Python. Tutorials |
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Suggested reading |
Tutorial on Functional Connectivity |
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Suggested viewing |
Time-frequency and functional connectivity analysis |
Graph Theory |
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Software |
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Datasets |
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Suggested reading |
Complex brain networks: graph theoretical analysis of structural and functional systems |
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Suggested viewing |
MVPA/RSA I |
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Software |
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Datasets |
The Decoding Toolbox example dataset |
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Suggested reading |
Mur et al. (2009) Revealing representational content with pattern-information fMRI--an introductory guide |
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Suggested viewing |
Excellent presentations from Martin Hebart's MVPA course, on: |
MVPA/RSA II |
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Software |
The RSA toolbox in Matlab |
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Datasets |
|
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Suggested reading |
Kriegeskorte et al. (2008) Representational similarity analysis - connecting the branches of systems neuroscience |
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Suggested viewing |
Statistics in R |
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Software |
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Datasets |
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Suggested reading |
Statistical Methods for Psychology (Howell) |
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Suggested viewing |
Brain Stimulation |
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Software |
SIMNIBS (also requires access to Matlab, FSL and Freesurfer to run certain functions, see SIMNIBS installation guide) and k-wave |
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Datasets |
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Suggested reading |
Approaches to brain stimulation ; what can we infer from brain stimulation; using NIBS clinically ; focused ultrasound 1 and 2 |
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Suggested viewing |
DCM for M/EEG |
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Software |
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Datasets |
||
Suggested reading |
||
Suggested viewing |
Talk on DCM for M/EEG coming soon |