Teitl: Measuring robust functional connectivity from resting-state MEG using amplitude and entropy correlation across frequency-bands and temporal scale: AEC and MRVE correlation connectivity matrices - data

Dyfyniad
Godfrey M, Singh KD (2020). Measuring robust functional connectivity from resting-state MEG using amplitude and entropy correlation across frequency-bands and temporal scale: AEC and MRVE correlation connectivity matrices - data. Cardiff University. http://doi.org/10.17035/d.2020.0120255913


Hawliau Mynediad: Darperir Data dan drwydded Creative Commons Attribution (CC BY 4.0)
Dull Mynediad: I anfon cais i gael y data hwn, ebostiwch opendata@caerdydd.ac.uk

Crewyr y Set Ddata o Brifysgol Caerdydd

Manylion y Set Ddata
Cyhoeddwr: Cardiff University
Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2020
Fformat y data: .mat
Meddalwedd ofynnol: MATLAB
Amcangyfrif o gyfanswm maint storio'r set ddata: Llai nag 1 gigabeit
Nifer y ffeiliau yn y set ddata: 1
DOI: 10.17035/d.2020.0120255913

Disgrifiad

Data are provided in two Matlab cell arrays. 'AECmatrices' contains AEC connectivity matrices for 10 frequency bands and 'MRVEmatrices' contains MRVE correlation matrices for 25 scale frequencies.

For each frequency band and scale frequency, a 183x90x90 matrix is provided. This corresponds to one 90x90 connectivity matrix per participant (n=183). Each connectivity matrix contains the Z scores indicating the connectivity between the 90 regions of the AAL atlas, obtained by correlation of amplitude envelopes (AEC) or multiscale rank-vector entropy timecourses (MRVE correlation). The diagonal elements are set to NaN as these elements would correspond to the connectivity between each region and itself. 

Research results based upon these data re published at https://doi.org/10.1016/j.neuroimage.2020.117551



Allweddeiriau

Functional connectivity, MEG, Multi-scale Rank-Vector Entropy, Resting state, Variability

Meysydd Ymchwil

Prosiectau Cysylltiedig

Diweddarwyd y tro diwethaf ar 2021-22-01 am 11:12