Questions tagged [eeg]
Electroencephalography (EEG) is the recording of the brain's spontaneous electrical activity electrical activity from multiple electrodes placed on the scalp.
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EEGlab: power spectral density from a single EEG lead
I was trying to get power spectral density of a time-series data. The sleep recording software we use, doesn't allow to export EDF format of an interval, only of the whole record, but it allows to ...
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Intrinsic relevance of ERP polarity: 'negativity' vs 'positivity'
I know that polarity in a EEG signal is arbitrary, and a matter of convention, as clearly explained in this past question.
However, assuming said conventions are well-followed, I wonder whether is ...
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Splitting EEG signal by marker using BrainVisionAnalyser
I have recorded a long EEG experiment with BrainVision equipment and I want to split it into smaller chunks based on marker numbers. For example, I want to have the chunk of recording between markers ...
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Noise free EEG signal data base
I am working on a research paper regarding EEG signal preprocessing. The first stage includes denoising the signal. However, since I need to evaluate the performance of the method I am using, I ...
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Is it possible to send event markers via Emotiv epoc using Inquisit 5?
I am trying to employ Emotiv for my research project. Emotiv is a mobile EEG instrument (click here to see more) Unlike other EEG recording systems, I am not able to send a marker to the EEG ...
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Library (or manual creation) of ERP components
I'm looking to test some computational models using ERP components as inputs (eg. p300, n170)
I'm wondering if there is an existing library anywhere that would have a bank of wave/component examples ...
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What are other methods for adjusting latency jitter in event-related potentials (ERPs) (P300 in particular) besides Woody filter and peak-picking?
Latency jitter refers to the phenomenon that an ERP component appears at various time in different trials, without adjusting this difference when averaging across trials will lead to diminished ERP (...
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EEG data processing: large data file seems empty
We have been running an experiment trying to collect ABR data using the Brainvision EP-PreAmp and Actichamp system. We ran several successful tests with short versions of our experiment, about 10-15 ...
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What is bispectrum?
I am working on a project that uses EEG signals of the brain to identify emotional states. While surveying the literature, I came across several references where "derived features of bispectrum" are ...
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Facing problem while connecting OpenViBE Acquisition Server with Python
I am trying to connect OpenViBE Acquisition Server with Python (without using OpenViBE Driver). I read the OpenViBE documentation (http://openvibe.inria.fr/how-to-use-labstreaminglayer-in-openvibe/) ...
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How can one detect ACC, PCC or any other medial cortical activity with MEG or EEG if it's inside the brain?
Been reading some research involving various brain imaging techniques and it's not my strong point. Really, if the electrodes or SQUIDS measure surface activity, how does one measure what's going on ...
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What can combined EEG-fMRI tell us about the brain activity that two separate EEG and fMRI experiments cannot?
I am trying to get my head around what questions I can expect to have answered about brain activity that cannot be answered by doing two separate EEG and fMRI experiments.
I am aware that fMRI ...
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Statistic analysis on EEG data - how to deal with it properly?
Let's assume that I have a datasheet looking like that:
...
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What is a good software/hardware combination for biofeedback monitoring that includes GSR, GSM, HRV, and EEG?
i'm looking for a lab setup for psychological experiments to help people relieve stress better with various auditory and visual stimuli.
what i want is a software like brainbay that can use not just ...
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Detecting signs of dementia in EEG signal
I would like to know, how dementia can be recognized in the EEG signal of patients with dementia.
What I have found so far:
According to (Henderson et al., 2006) subjects with dementia are ...
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How is the noise covariance matrix computed and why is it a good measure of sensor reliability?
When using minimum norm methods for source estimation (in the case of EEG), which is to say going from the signal at the recording sites on the scalp to the signals in source space, i.e. equivalent ...
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Purchasing and Using Encephalogram (EEG)
I am going to purchase an EEG and conduct a series of studies for my MA work. Unfortunately, I come from an undeveloped country so I never had a chance to learn how to use it.
I have a few questions, ...
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How to analyse EEG files recorded from Brain Products V-Amp (Brain Vision Recorder)?
I have 3 files recorded from Brain Vision Recorder.
They are in the following formats:
.eeg
.amrk
...
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Window and noverlap values in pwelch function of Matlab
Could anyone please suggest what values to be used for Window and noverlap inputs of pwelch function in Matlab. I am using a 200 ms EEG signal with sampling frequency 1000 (so total samples 200) to ...
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Syncing up CPT device with EEG recording
I'm working on setting up an EEG experiment that will be going through a battery of various cognitive tasks. One of the tests is a Continuous Performance Task and to conduct that we'll be using a ...
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Is there a reasonably easy way to get emotions from EEG?
I am building a project to visualise brain data from EEG, specifically emotions. I have found a significant numbers of papers that describe methods that include pre-processing, feature extraction and ...
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EEG electrode cluster selection
Is there a good review paper on electrode selection in EEG analysis to avoid the problem of double dipping (Kilner, 2013)? This is a well documented issue in neuroimaging (Kriegeskorte et al, 2009; ...
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Possible links of the dreaming and hypnotic state
Recently I was asked a question that made me stuck: "how does dreaming states and hypnotic state differ?". What available EEG, fMRI and other means of obtaining data on the brain activity show in such ...
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Hanning window size in EEG power spectrum
I must compute the power spectrum density of sleep EEGs. I was told by an experienced scientist that the process goes as follows:
Artifact detect/reject the EEG
Compute the power spectrum for every 2 ...
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What could measuring the N400 response to stimuli of inconsistent stereotypes tell us?
I'm working on a project proposal for a class on intergroup relations and thought this might be interesting to observe. Participants would be shown consistent stereotypical video clips (e.g. Asian's ...
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Does EEG biofeedback brain training can cause any harm?
I'm a hobbyist making BCI for biofeedback training.
Can I induce any damage to my brain by EEG brain training? For instance, by using wrong training protocols.. Be the way, it would be wonderful if ...
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Help understanding and visualizing the data from EEG grasp dataset from kaggle
So, I downloaded the EEG grasp data set from kaggle. I am having a hard time understanding the data and plotting it. I extracted the " first subjects' " csv files from the train folder which consists ...
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Active Sources Extraction
I am using the LORETA-KEY software for source localization, which gives as an output the current density of each voxel.
No voxel has zero current density, so which method should be used to decide the ...
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Detecting trauma with EEG?
My parent went to a Psychologist because of anxiety and panic attacks. Nicely i knew that she uses EEG for diagnostics. So he went to see her, but he told me that during the EEG she asked him for 2 ...
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Somatosensory evoked potentials
I am wondering what the best EEG recording montage is to use for recording of electrically evoked somatosensory evoked potentials after median nerve stimulation?
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Bias towards lower frequencies in toy EEG
I am currently working on a scientific experiment that involves the Star Wars Force Trainer II, a toy EEG from Neurosky. It has three dry metal electrodes; one active electrode on the forehead, and ...
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Having issue in functional connectivity of difference matrix between patient group and control group
I am following a paper to calculate functional connectivity of difference between MDD (major depressive disorder group) and Control group. I am getting more connectivity in MDD as compared to control ...
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Are there better tools for EEG data visualization than MNE-python?
I've started learning about EEG data analysis (as a data scientist working with python and R on a daily basis) and came across MNE package. I know that it has some tools for visualizing EEG data and I ...
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Getting 8 channel Muse data in EEGlab?
I am trying to do an experiment, can someone tell me if the following makes sense with an Muse 2 that has 4 electrodes:
In the first session I am recording the normal 4 channel data doing some ...
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What is the "reverse-averaging" technique used in Electroencephalography (EEG)?
Im reading about the Bereitschaftspotential or Readiness-potential "discovery" and I see it was done by "reverse-averaging" the ressults of using EEG to measure certain voltage ...
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Classifying motor imagery using EEG data
I am an undergraduate student who is trying to classify motor imagery from EEG data!
I have no experience working with EEG or any neuroscience background, I only have a very basic knowledge of how ...
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Whole brain death diagnosis and false positive
In view of the increasing need for organ transplants( possibly because of the greater ability of the surgeons and physicians to both execute the transplant, prevent a rejection, and/or diagnose the ...