Human LFP recordings from STN during sequential conflict task
Bogacz R
Litvak V
Oswal A
Little S
Pedrosa D
Herz D
Dayal V
Patai EZ
Description
This dataset will be available to download soon, upon acceptance of the paper it is featured in.
LFP recordings from human subthalamic nucleus, filtered for beta and theta band oscillations, epoched around cue stimulus presentation, in a sequential decision making paradigm. STN-LFP signals recorded referenced to a common cephalic reference (right mastoid).
Additional source files, with raw LFP for STN and raw source-reconstructed time courses from MEG source signals. Continuous data were downsampled at 150Hz, bandpass filtered 48-52 Hz, and then MEG signals were beamformed using LCMV and significant vertices extracted based on sensor level results, finally epoched around cue presentation.
See: https://www.biorxiv.org/content/10.1101/2020.06.09.141713v1 for description of the task and detailed methods.
Corresponding analysis scripts on GitHub.
This is data for Figure 2 and Figure 4 in preprint 'Conflict detection in a sequential decision task is associated with increased cortico-subthalamic coherence and prolonged subthalamic oscillatory response in the beta band' on bioRxiv.
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.
Year Published
2020
Copyright Years
2015-2020
DOI
10.5287/bodleian:DEj58DYPb
Funders & Grant Numbers
Medical Research Council, UKRI (MC_UU_12024/5)
Medical Research Council, UKRI (MC_UU_00003/1)
Biotechnology and Biological Sciences Research Council, UKRI (BB/S006338/1)
Wellcome Trust (203147/Z/16/Z)
Medical Research Council, UKRI (MR/K005464/1)
Publisher
University of Oxford
Downloaded times
Group
Terms
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