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Retrieving the Hemodynamic Response Function in resting state fMRI: methodology and applications

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RT @dan_marinazzo: Very nice! We did the same for our tool to retrieve a proxy of the HRF from resting state BOLD https://t.co/gxxJX4cTAW…
....and Wu & Marinazzo also made estimated hemodynamic responses in the human brain, obtaining reliability maps: https://t.co/q41tBefeYM https://t.co/BoRJte4ga1
Very nice! We did the same for our tool to retrieve a proxy of the HRF from resting state BOLD https://t.co/gxxJX4cTAW https://t.co/9tHvoYCcPZ Curious how this would work in their data (not available, but the authors can use our toolbox, now also available as SPM plugin) https://t.co/Ix0WrrDMrX
RT @dan_marinazzo: @BrightMG here https://t.co/9tHvoYCcPZ we observed that this anticorrelation is increased when we consider the deconvolv…
RT @dan_marinazzo: @BrightMG here https://t.co/9tHvoYCcPZ we observed that this anticorrelation is increased when we consider the deconvolv…
@BrightMG here https://t.co/9tHvoYCcPZ we observed that this anticorrelation is increased when we consider the deconvolved BOLD and the alpha envelope instead of the alpha envelope convolved with a HRF and the BOLD https://t.co/MVQJZyRBGV
RT @dan_marinazzo: You can try it on your data, with the code here https://t.co/gxxJX4cTAW methods described here https://t.co/PgBoO5CeMv…
248 days ago
RT @dan_marinazzo: You can try it on your data, with the code here https://t.co/gxxJX4cTAW methods described here https://t.co/PgBoO5CeMv…
RT @dan_marinazzo: You can try it on your data, with the code here https://t.co/gxxJX4cTAW methods described here https://t.co/PgBoO5CeMv…
RT @dan_marinazzo: You can try it on your data, with the code here https://t.co/gxxJX4cTAW methods described here https://t.co/PgBoO5CeMv…
RT @dan_marinazzo: You can try it on your data, with the code here https://t.co/gxxJX4cTAW methods described here https://t.co/PgBoO5CeMv…
You can try it on your data, with the code here https://t.co/gxxJX4cTAW methods described here https://t.co/PgBoO5CeMv (OA https://t.co/sS2Nz1vMEa) and here https://t.co/9tHvoYCcPZ #braintc talk from last year https://t.co/mK7vQdj3VN slides https://t.co/d4Kcwq5DBY
RT @dan_marinazzo: @abc_aalto (5) we validated it with simulation, perfusion (ASL) and EEG/fMRI https://t.co/9tHvoYCcPZ. Still, ground trut…
@abc_aalto (5) we validated it with simulation, perfusion (ASL) and EEG/fMRI https://t.co/9tHvoYCcPZ. Still, ground truth validation is tricky #braintc https://t.co/xHvth0VbLg
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Additional Information

Competing Interests

The authors declare that they have no competing interests

Author Contributions

Guo-Rong Wu conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Daniele Marinazzo conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

Resting state fMRI data are from the 1000 functional connectome database

https://www.nitrc.org/projects/fcon_1000/

The deconvolution code is available here

http://users.ugent.be/~dmarinaz/code.html

Funding

The authors received no funding for this work.


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