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You are here: Home Data Sets Prefrontal cortex (PFC) pfc-5 About pfc-5

About pfc-5

Information about pfc-5 (prefrontal cortex, number 5).

Summary.

This data set contains human scalp EEG recordings from 14 patients with unilateral prefrontal cortex lesions (mean ± SD [range]: 46 ± 16 [20-71] years of age, 15 ± 3 years of education, 6 males) and 20 age- and education-matched, healthy controls (44 ± 19 [19-70] years of age, 16 ± 3 years of education, 11 males). Primary (raw) and derived (preprocessed) EEG data, and analysis scripts are included.  Methods, participants, and results are described in:

Johnson, E. L., Dewar, C. D., Solbakk, A-K., Endestad, T., Meling, T. R. & Knight, R. T. Bidirectional frontoparietal oscillatory systems support working memory. Current Biology 27, 1829-1835 (2017). doi:10.1016/j.cub.2017.05.046

Format of the data.

Primary EEG data files are in .bdf (BioSemi) format. These files may be imported and converted to .mat format. Processed data is in .mat format. Information about each PFC patient subject is stored in .csv format. Total size of the data is about 20 GB. Details about the data are in the document linked to at the bottom of this page.

How to download the data.

The data must be downloaded from:

https://portal.nersc.gov/project/crcns/download/pfc-5

A CRCNS.org account is required.  This link allows bulk downloading of multiple files using the download script as described in the "Alternative download method" section on the download page.

Getting help using the data.

If you have questions about using the data, post them on the forum for using data sets.

Conditions for using the data

Anyone wishing to publish results from this dataset should consult the lead researcher, E. L. Johnson (eljohnson@berkeley.edu). Publications made using the data should cite the publication above (Johnson et al., 2017) and cite the data set using the following:
Johnson (2017); 64-channel human scalp EEG from 14 unilateral PFC patients and 20 healthy controls performing a lateralized visuospatial working memory task. CRCNS.org
http://dx.doi.org/10.6080/K0ZC811B

The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set.  The DOI was created using DataCite (www.datacite.org) and the California Digital Library, "EZID" system (n2t.net/ezid/).

Documentation files

crcns_pfc-5_data_description.pdf

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