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Summary
In his introductory video, Jonah Kember guides viewers through the initial steps of using Brain Vision Analyzer for EEG data pre-processing. The video focuses on setting up your workspace, organizing files necessary for the analysis, and navigating through the program's interface. Jonah emphasizes the importance of creating raw, history, and export files before diving into the software. He also demonstrates how to import data, identify channels, and take advantage of the program's features, preparing users for more advanced steps in future videos.
Highlights
Jonah guides viewers through setting up Brain Vision Analyzer for EEG data. ๐
Learn how to create and organize necessary files for data analysis. ๐
Navigate the primary tree to manage your data effectively. ๐ฟ
Verify data channels and duration to ensure a proper analysis. ๐งช
Identify markers for responses and stimuli in the experiment. ๐
Utilize transformations and history templates for efficient data processing. ๐
Key Takeaways
Get organized before diving into Brain Vision Analyzer! ๐
Create and properly name your raw, history, and export files. ๐๏ธ
Learn to navigate the primary tree and panel layouts for efficient data handling. ๐ณ
Identify and verify your EEG data's channels and duration to ensure you're analyzing the correct data set. โ
Look out for the markers that record responses and stimuli during experiments. ๐
Understand the transformations and history templates for efficient pre-processing. ๐ ๏ธ
Overview
Kickstart your EEG data pre-processing adventure with Jonah Kember as he unravels the essentials of Brain Vision Analyzer in his first video. Before you can embark on this analytical journey, it's crucial to have your workspace organized, which revolves around setting up the raw, history, and export files correctly. Jonah ensures you're equipped with the know-how to load and navigate your data successfully.
Once set up, Jonah walks viewers through the program's interface, emphasizing the importance of understanding the primary tree's layout. This segment is pivotal as it allows users to visualize and interact with their data at a fundamental level. Jonah impresses the importance of checking the number of channels and the data's time length, ensuring your analysis commences on the right foot.
Finally, Jonah delves into the tools and templates available in Brain Vision Analyzer that aid in the EEG data pre-processing journey. He introduces history templates and transformations, highlighting their role in making the pre-processing steps more efficient. With these foundations laid, viewers are ready to embrace the forthcoming, more detailed tutorials in the series.
Chapters
00:00 - 00:30: Introduction and Overview The introduction chapter is presented by Jonah, who introduces a series of videos aimed at teaching users how to pre-process EEG data using Brain Vision Analyzer. The series will cover standard pre-processing steps from filtering to averaging. However, the focus of the current video is on getting data into the program and navigating the software. Jonah emphasizes the importance of knowing how to move around in the program before getting started with data processing.
00:30 - 01:00: Setting up Files for Brain Vision Analyzer The chapter focuses on setting up files for Brain Vision Analyzer (BVA). It guides on creating necessary files to inform BVA about the workspace configuration and data management. Three key files need to be created: a raw file for raw data storage, a history file for tracking processing steps (initially empty), and an export file (also initially empty).
01:00 - 02:00: Opening the Program and Initial Setup The chapter 'Opening the Program and Initial Setup' guides the user on how to start the program and perform the initial setup. It advises naming the project appropriately, rather than using a default name like 'bva video'. After launching the program, the user may encounter a previous file attempting to open, which can be cancelled. The program interface is then described with a main screen and an empty primary tree, indicating the start of the project setup.
02:00 - 02:30: Loading Data into the Workspace The chapter 'Loading Data into the Workspace' guides you through the initial steps of setting up a workspace for data management. It starts with creating a new workspace, followed by selecting the respective file locations for raw, history, and export files. Once these locations are set, the workspace is configured by saving it. This process helps in organizing data effectively for further operations.
02:30 - 04:00: Verifying and Navigating Data The chapter 'Verifying and Navigating Data' guides the reader through the process of loading raw data into a primary tree structure for a project. In this particular case, only four subjects are used, which allows for a quick demonstration. The text notes that if one has more subjects and a slower computer, the loading process may take longer. The chapter emphasizes that having the primary tree visible is crucial for verifying data, and provides a troubleshooting tip in case the tree is not visible in the user's view.
04:00 - 05:00: Understanding Markers and Pre-processing Tools The chapter titled โUnderstanding Markers and Pre-processing Toolsโ explains how to manage and view raw data within a software framework. It provides guidance on resetting the panel layout if needed and highlights the primary data tree where all raw data and applied pre-processing steps are visible. The importance of verifying that the viewed data matches expectations is stressed, using an example dataset with 129 channels and a duration of approximately 23 minutes.
05:00 - 06:00: Using History Templates for Pre-processing This chapter discusses the initial examination of raw data in the subject 14 experiment. It highlights the viewing and manipulation of electrode channels, which are numbered from 1 to 32. The user checks and confirms the existence of all required channels, ensuring a total of 129. The chapter ensures that all channels are correctly displayed and confirms their confidence in the data setup.
06:00 - 06:30: Conclusion and Next Steps This chapter provides a visual representation of data being discussed, focusing on the vertical display of channels and navigation techniques across the data. It describes a specific data range lasting 22 minutes starting at 10:32 and ending at 10:55. The chapter also mentions tools available for navigating the data, including options for both course and fine-tuned adjustments.
1. Getting Started with Brain Vision Analyzer Transcription
00:00 - 00:30 hi i'm jonah and this is the first in a series of videos that are going to be going over how to pre-process eeg data using brain vision analyzer so throughout these videos we're going to go over hopefully what you have here in this file on standard pre-processing steps from filtering all the way to averaging but today we're just going to be in this video at least we're just going to be looking at how to get your data into the program and how to start moving yourself around in the program itself so the first thing you need to do before even opening
00:30 - 01:00 brainvision analyzer is go to your files and you're going to need to create a few different files that tell bva uh what kind of workspace they're going to be dealing with where your raw data is and where all of the pre-processing steps that you apply to this data can be kept so where they can be saved so i've done this here i've created three files the first one is a raw file which includes all of my raw data for my project the second one is a history file which right now is empty just name it history and the third one is export also empty just name it history
01:00 - 01:30 so once you have this and i encourage you to name it your project not bva video then you're going to open up the program so hopefully you can get to this stage so right now i had a file open before that it's trying to access i'm going to cancel this and hopefully it will just pop up for you like this with a big internet screen here that you can exit and an empty primary tree over here that
01:30 - 02:00 you don't have to worry about so the first thing we're going to do in order to get our data from the files into here is create a workspace so we're going to file and new and then we're gonna have to choose where each of those files was so our raw files were in this raw folder history files the empty one is history and export files are export awesome so once you have all this click okay and it's gonna you're gonna have to save it
02:00 - 02:30 name it again as your project and it's gonna load all your raw data into this primary tree here now i only used four subjects for this video so it's going to be fairly quick if you have a lot more and a slower computer it might take a little while longer awesome so you can see i have my four subjects that i'm supposed to here over in this primary tree if you don't see this tree let's say it
02:30 - 03:00 accidentally got exited then one of the things you can do is go to windows here and reset panel layout or just look at primary tree and this primary tree is going to have all your raw data and all the pre-processing steps that you apply to this data are going to be viewed right here as another branch of the tree so first now that we have our data we're going to check and make sure what we're looking at is what we actually want to be looking at so for instance i know that my data has 128 29 channels and is around 23 minutes
03:00 - 03:30 long so we can check both of those things to understand what we're looking at here so subject 14 we're in the raw data i can see all the channels all the electrodes here numbered from 1 to 32. if i click one of these buttons i can see more or less channels so let's look at more and less so somewhere in the middle right here is probably perfect and i'm going to go down all these channels to see and make sure i have 129 of them awesome perfect there we are so we know with pretty high confidence that this is
03:30 - 04:00 what we're looking at we have the channels coming vertically here and if i move across here at the bottom then we can see all of this data you'll see that this data started right here at 1032 and it finishes at around 10 55 so about 22 minutes that's perfect so this is in fact our data now when we want to shift across from right to left in this data we can use either these two buttons there's a course tune and a fine-tuned navigation
04:00 - 04:30 so i can click click this will move all across my data i can look for messy noisy channels what not and this is going to be an even finer tune awesome so at the bottom here you'll see each of these stm things yours will look different maybe they'll be numbered these are the markers that either came up when your stimuli was presented during the experiment or when your participant made a response so each of these will be numbered like there you can see response the participant made a response and each
04:30 - 05:00 of these would be uh something that came up whether it was a fixation bar or let's say a distractor or whatever your different experiment had they'll all show up here hopefully you have numbers for those so you know what you're looking at next thing any step that we're going to be any pre-processing step we're going to be applying to this data is going to be found in this transformations bar up at the top here so you'll see from data set pre-processing channel pre-processing channels artifact rejection frequency
05:00 - 05:30 and component analysis and segmenting so all of these this is where we're going to find each of our steps next up let's say we apply one of these steps let's say at some point we want to filter so we filtered one of these what we're also going to be using is called a history template so history templates here are just steps of pre-processing data that we can then move over and apply to each of our participants so that we can save time in that we don't have to go through each participant and themselves and apply each of these steps we can just have a root history file
05:30 - 06:00 history template that we can put all of our pre-processing steps into and then we can carry that over to these each of these individual participants later awesome so now we know where our raw data is how to create a workspace um how to make sure this is in fact our data where the transformations are going to be found and where the history template that we're going to be using later is found and then you should be able to move your way around feel free to get comfortable with some of these different options you can change what color your display is if you're really into that and yeah and next video
06:00 - 06:30 we'll be going over some of the first pre-processing steps we'll want to apply