September 11, 2017 at 7:09 am #922MaryGuest
I have some EEG data which are .mat files. How can I to load them into BRAPH and use graph analysis?September 11, 2017 at 6:13 pm #926
Thank you a lot for using Braph. In order to do your analysis, the following steps are needed:
Import the brain atlas with which your data was extracted into BRAPH through the Brain Atlas interface. After your atlas has been uploaded, go to Subject Cohorts and choose New EEG Cohort. You could find more details about how to use the Brain Atlas interface on http://braph.org/manual/brain-atlas/.
In order to import your groups into Braph, they need to be arranged so that the .mat files of different groups are placed in different folders. The folders are uploaded to BRAPH via the EEG Cohort Editor interface by pressing the Load subject group from mat … button. More information about the capabilities of the EEG Cohort Editor can be found at http://braph.org/manual/fmri/fmri-cohort/ (the EEG flow is analogous to the fMRI’s one).
From the cohort, choose Graph Analysis -> New EEG graph analysis which will bring you to the EEG Graph Analysis interface. Here you could choose the type of graph and correlation you would like to use, as well as a definition for the community structure.
Pressing Start analysis button opens a new interface for the specific type of analysis you would like to make (WU, BUD or BUT). From here you can choose which measures to calculate and also you can visualize your results separately for global and nodal measures. For more details of the workings of these interface please check http://braph.org/manual/fmri/fmri-graph-analysis-wu/ , http://braph.org/manual/fmri/fmri-graph-analysis-but/ or http://braph.org/manual/fmri/fmri-graph-analysis-bud/ depending on the type of analysis you would like to use.
Hope this information helps you with your analysis. If you need more help, please do not hesitate to contact us.
MiteSeptember 20, 2017 at 2:38 am #935Srithiphan PhanthadParticipant
Thank you so much for a great ฺBRAPH program.
I can not load .xlsx to EEG cohort. The data from EEG. how can i do it?September 20, 2017 at 2:55 pm #943
Thank you for considering BRAPH and I hope it will be a useful tool for you.
As a first step, you should check whether the .xlsx file that you are trying to upload to the EEG cohort is prepared in the right format so that it could be read by BRAPH. In short, you need to have the different groups collected in different folders, where each file represent individual subject’s data. Moreover, each Excel file should be organized such that the columns represent brain regions; the values in a column are the values measured for a specific brain region as a function of time.
For a detailed explanation I suggest the following link http://braph.org/videos/fmri/fmri-cohort/ (fMRI cohort is analogous to the EEG cohort so all information is applicable to your case). Moreover, you could check the group files available for download for an example of how the individual Excel file should be organized. Also, the part of the manual discussing fMRI cohort can be found at http://braph.org/manual/fmri/fmri-cohort/.
Hope this helps. If you need any additional assistance with this problem, please do not hesitate to contact me.
MiteDecember 23, 2017 at 8:08 am #21248lisParticipant
I recently discovered BRAPH and I really like the output!
Although, I do not understand quitte well how to input EEG data with a specific brain atlas instead of time series with the electrodes.
I’m really new to this field, could anyone help me out?
Thanks a lot.
LisJanuary 1, 2018 at 10:37 pm #21270JBParticipant
Unfortunately I have no experience with EEG data. You would have to take a look into previous studies that carried out graph theory analyses on EEG data using brain atlas regions as nodes, or post this question in a specific EEG analysis/preprocessing forum.
Alternatively, if you already have the mean signals recorded from different electrodes you could create an atlas with the coordinates and areas corresponding to those electrodes and perform a graph theory analysis with the data you have already collected.
JoanaJuly 2, 2018 at 3:33 pm #22285Vahid NouriGuest
Thank you for this helpful toolbox. Could you please prepare a video for using EEG signals in BRAPH. Because following the instructions of fMRI are a bit different and hard.Thank you very much.
VahidJuly 9, 2018 at 11:35 am #22316
Thank you for using Braph and I hope that it will be a useful tool for your research.
I am sorry but we are currently unable to provide a separate video for EEG analysis. However, the upload and analysis of the EEG time series is analogous as the fMRI analysis and all directions in that video are directly applicable to the EEG analysis without any modifications.
If you are dealing with a particular problem in your analysis, please contact me and I will help you with that problem or offer any additional explanation if needed.
MiteJune 12, 2019 at 11:23 am #28740KanishqGuest
How can the fMRI video is applicable on EEG data? I have a 64 channel EEG data in which the channel locations are given. Please provide me a method to work on EEG data as I am not able to import any .mat files preprocessed with EEGLAB.
Even how to make the atlas file is also not clear for EEG data.June 17, 2019 at 6:22 pm #29001
The EEG is analogous to fMRI in the sense that as in fMRI, you obtain a time series for each EEG channel that you can use to create an EEG graph by either of the correlation method available in Braph. Once this graph has been calculated, you proceed analogously in both cases.
If you would like to create a graph from the 64 channel EEG data, then each channel would become a node in the graph. Each edge in this graph would be the statistical correlation between the time series of the corresponding channels. You can create the atlas by specifying each channel as a brain region and inputting their location and properties as explained in the corresponding video. Similarly, you can create the mat files from your time series.
Hope this information helps you. Let me know if there is anything additional that I might be able to help you with.
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