Code used for analysis of task-relevant, time-resolved functional Magnetic Resonance Spectroscopy (fMRS)

Koolschijn R
Shpektor A
Emir UE
Barron H
Description

This package contains code for

  • Preprocessing of fMRS data (matlab)
  • fsl_mrs code for simulations of fMRS data (python)
  • Code for analysis of behavioural data (matlab)
  • Code to assess relationship between fMRI and fMRS data (matlab)
  • Plotting functions
Assistance with this dataset

We welcome researchers wishing to reuse our data to contact the creators of datasets. If you are unfamiliar with analysing the type of data we are sharing, have questions about the acquisition methodology, need additional help understanding a file format, or are interested in collaborating with us, please get in touch via email. Our current members have email addresses on our main site. The corresponding author of an associated publication, or the first or last creator of the dataset are likely to be able to assist, but in case of uncertainty on who to contact, email Ben Micklem, Research Support Manager at the MRC BNDU.

plot of glutate and GABA tCr during trials
Year Published
2021
DOI
10.5287/bodleian:8JwYayQmD
Funders & Grant Numbers
EPSRC/MRC, UKRI (EP/L016052/1)
Wellcome Trust (203836/Z/16/Z)
Royal Society Dorothy Hodgkin Research Fellowship
BBSRC, UKRI (BB/N0059TX/1)
MRC, UKRI (MC_UU_12024/3)
John Fell Oxford University Press Research Fund (153/046)
Wellcome Centre for Integrative Neuroimaging (seed grant)
Junior Research Fellowship from Merton College
Wellcome Trust (203139/Z/16/Z)
Publisher
University of Oxford
Downloaded times
Terms

Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

This is a human-readable summary of (and not a substitute for) the licence.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material for any purpose, even commercially.

This licence is acceptable for Free Cultural Works. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same licence as the original.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the licence permits.