IntroductionNeuroimagingLectures - Methods

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Revision 418 as of 2022-01-25 11:57:22

location: IntroductionNeuroimagingLectures

Introduction To Neuroimaging Methods

Lent Term 2022

We are offering introductory lectures on neuroimaging data analysis as well as brain stimulation in January/February 2022. These events will happen online on Mondays (am and pm) and on Tuesdays (am), and will take 1-2 hours. They are free and open to researchers from Cambridge (from cam.ac.uk domain). Details will be announced before individual events via our skillstraining mailing list. To subscribe, please send an e-mail to skillstraining-subscribe@mrc-cbu.cam.ac.uk .

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 24

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

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

Jan 25

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


Jan 31

10-12:00:
MRI Physics I
Marta Correia

14-16:00:
MRI Physics II
Marta Correia

Feb 1

10-12.00:
Introduction to diffusion MRI
Marta Correia


Feb 7

Methods Day

Methods Day

Feb 8

10-12.00:
Advanced Diffusion MRI
Marta Correia


Feb 14

10-12:00:
fMRI I – Preprocessing
Dace Apsvalka
previous slides workshop

14-16:00:
fMRI II – GLM and experimental design
Dace Apsvalka
previous slides workshop (requires Matlab + SPM12)

Feb 15

10-12:00:
fMRI III – Group analysis and statistical inference
Dace Apsvalka previous slides workshop (CBU imaging system only, sorry)

-


Feb 21

10-12:00:
Brain Connectivity
Rik Henson
previous video slides

15-17:00:
Graph Theory
Caroline Nettekoven
previous slides

Feb 22

10-12:00:
Multimodal Imaging
Rik Henson
previous video slides


Mar 1

10-12.00:
Brain Stimulation
Jade Jackson
previous slides