Diff for "1st_level_analysis_2" - MRC CBU Imaging Wiki
location: Diff for "1st_level_analysis_2"
Differences between revisions 28 and 29
 ⇤ ← Revision 28 as of 2011-08-25 11:51:51 → Size: 2357 Editor: MicheleVeldsman Comment: ← Revision 29 as of 2013-03-07 21:22:58 → ⇥ Size: 2401 Editor: localhost Comment: converted to 1.6 markup Deletions are marked like this. Additions are marked like this. Line 1: Line 1: __'''1st Level Analysis 2: Basis functions, parametric modulation and correlated regressors'''__[[BR]] __'''1st Level Analysis 2: Basis functions, parametric modulation and correlated regressors'''__<
> Line 3: Line 3: You can download a copy of Gayaneh and Oriel's talks here: attachment:BasisFunctions.ppt attachment:ParametricMod.ppt [[BR]] You can download a copy of Gayaneh and Oriel's talks here: [[attachment:BasisFunctions.ppt]] [[attachment:ParametricMod.ppt]] <
> Line 6: Line 6: __'''Web Resources'''__[[BR]] __'''Web Resources'''__<
> Line 8: Line 8: Below is a list of web resources used in the talk [[BR]][[BR]]'''Basis Functions''' [[BR]][http://www.fourier-series.com/fourierseries2/fourier_series_tutorial.html Fourier Series Tutorial][[BR]][http://www.texample.net/tikz/examples/convolution-of-two-functions/ Animated illustration of the convolution of two functions][[BR]][http://www-structmed.cimr.cam.ac.uk/Course/Convolution/convolution.html The convolution theorem and its applications][[BR]][http://www.fil.ion.ucl.ac.uk/spm/doc/books/hbf2/ A link to all the chapters of the Human Brain Function][[BR]][[BR]]Rik's SPM GLM powperpoint from our imaging wiki attachment:SPM.ppt [[BR]][[BR]]'''Correlated regressors'''[[BR]][[BR]][http://www.matthijs-vink.com/tools.html Design Magic toolbox- Multicollinearity assessment for fMRI for SPM][[BR]] Below is a list of web resources used in the talk <
><
>'''Basis Functions''' <
>[[http://www.fourier-series.com/fourierseries2/fourier_series_tutorial.html|Fourier Series Tutorial]]<
>[[http://www.texample.net/tikz/examples/convolution-of-two-functions/|Animated illustration of the convolution of two functions]]<
>[[http://www-structmed.cimr.cam.ac.uk/Course/Convolution/convolution.html|The convolution theorem and its applications]]<
>[[http://www.fil.ion.ucl.ac.uk/spm/doc/books/hbf2/|A link to all the chapters of the Human Brain Function]]<
><
>Rik's SPM GLM powperpoint from our imaging wiki [[attachment:SPM.ppt]] <
><
>'''Correlated regressors'''<
><
>[[http://www.matthijs-vink.com/tools.html|Design Magic toolbox- Multicollinearity assessment for fMRI for SPM]]<
> Line 18: Line 18: __'''References'''__[[BR]] __'''References'''__<
> Line 20: Line 20: '''Basis Functions'''[[BR]] '''Basis Functions'''<
> Line 22: Line 22: Human Brain Function, Academic press, 2nd edition, 2003 (Chapter 10)[[BR]] Human Brain Function, Academic press, 2nd edition, 2003 (Chapter 10)<
> Line 24: Line 24: Functional Magnetic Resonance Imaging (Scott A Huttel et al.)[[BR]] Functional Magnetic Resonance Imaging (Scott A Huttel et al.)<
> Line 26: Line 26: R.N.A. Henson, M.D. Rugg, and K.J. Friston. (2001) The choice of basis functions in event-related fMRI. NeuroImage, 13(6):149, Note: Supplement 1 [[BR]][http://www.fil.ion.ucl.ac.uk/spm/doc/papers/rnah_choice.pdf PDF of paper] R.N.A. Henson, M.D. Rugg, and K.J. Friston. (2001) The choice of basis functions in event-related fMRI. NeuroImage, 13(6):149, Note: Supplement 1 <
>[[http://www.fil.ion.ucl.ac.uk/spm/doc/papers/rnah_choice.pdf|PDF of paper]] Line 29: Line 29: attachment:Dale.pdf Selective Averaging of Rapidly Presented Individual Trials Using fMRI[[BR]]attachment:Josephs.pdf Event-Related fMRI[[BR]]attachment:Friston.pdf Event-Related fMRI: Characterizing Differential Responses[[BR]]attachment:Friston2.pdf Nonlinear Event-Related Responses in fMRI[[BR]][[BR]]'''Parametric regressors'''[[BR]] [[attachment:Dale.pdf]] Selective Averaging of Rapidly Presented Individual Trials Using fMRI<
>[[attachment:Josephs.pdf]] Event-Related fMRI<
>[[attachment:Friston.pdf]] Event-Related fMRI: Characterizing Differential Responses<
>[[attachment:Friston2.pdf]] Nonlinear Event-Related Responses in fMRI<
><
>'''Parametric regressors'''<
> Line 35: Line 35: Characterizing stimulus-response function using nonlinear regressors in parametric fMRI experiments’, Buchel et al, Neuroimage, 1998 [[BR]] Characterizing stimulus-response function using nonlinear regressors in parametric fMRI experiments’, Buchel et al, Neuroimage, 1998 <
> Line 37: Line 37: [http://www.fil.ion.ucl.ac.uk/spm/doc/papers/cb_characterizing.pdf PDF of paper] [[http://www.fil.ion.ucl.ac.uk/spm/doc/papers/cb_characterizing.pdf|PDF of paper]] Line 39: Line 39: Using parametric regressors to disentangle properties of multi-feature processes’, Wood et al, Behavioural and Brain Functions, 2008 doi:10.1186/1744-9081-4-38[[BR]][http://www.behavioralandbrainfunctions.com/content/4/1/38/ Link to paper] Using parametric regressors to disentangle properties of multi-feature processes’, Wood et al, Behavioural and Brain Functions, 2008 doi:10.1186/1744-9081-4-38<

1st Level Analysis 2: Basis functions, parametric modulation and correlated regressors

You can download a copy of Gayaneh and Oriel's talks here: BasisFunctions.ppt ParametricMod.ppt

Web Resources

Below is a list of web resources used in the talk

Basis Functions
Fourier Series Tutorial
Animated illustration of the convolution of two functions
The convolution theorem and its applications
A link to all the chapters of the Human Brain Function

Rik's SPM GLM powperpoint from our imaging wiki SPM.ppt

Correlated regressors

Design Magic toolbox- Multicollinearity assessment for fMRI for SPM

References

Basis Functions

Human Brain Function, Academic press, 2nd edition, 2003 (Chapter 10)

Functional Magnetic Resonance Imaging (Scott A Huttel et al.)

R.N.A. Henson, M.D. Rugg, and K.J. Friston. (2001) The choice of basis functions in event-related fMRI. NeuroImage, 13(6):149, Note: Supplement 1
PDF of paper

Dale.pdf Selective Averaging of Rapidly Presented Individual Trials Using fMRI
Josephs.pdf Event-Related fMRI
Friston.pdf Event-Related fMRI: Characterizing Differential Responses
Friston2.pdf Nonlinear Event-Related Responses in fMRI

Parametric regressors

Characterizing stimulus-response function using nonlinear regressors in parametric fMRI experiments’, Buchel et al, Neuroimage, 1998

Using parametric regressors to disentangle properties of multi-feature processes’, Wood et al, Behavioural and Brain Functions, 2008 doi:10.1186/1744-9081-4-38