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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What cognitively interesting event-related potentials at FP1, FP2, TP9 or TP10 can be measured with consumer-grade EEG hardware?

I'm looking for cognitively interesting event-related potentials at places like FP1, FP2, TP9 or TP10 that can be measured with consumer-grade EEG hardware. Right now I have an Interaxon Muse EEG and ...
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How to compute auditory steady state responses?

Simple question: How does one usually go about computing an auditory steady state response (ASSR)? I have data where speech was amplitude modulated to a 40 Hz sine tone. There's 3.5 minutes of data; ...
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What are some good references for preprocessing and analysis of the P300 response from EEG data in Python?

I have just started to work on problems in neuroscience on my own. I sought to analyze the P300 response from EEG data because I was trying to understand a Kaggle.com challenge that used it. I found ...
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Effectiveness of implicit measures of deception (e.g., sweating, eye focus, EEG) when filling out online questionnaire

I'm working in my master thesis on a method of detecting user deception or lying when answering online questionnaires using his implicit feedback like sweating, eye focus, EEG etc. I would like if ...
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Neurophysiological indications of focus and motivation

Is there any way to detect a subject being focused or highly motivated (assuming that these two states are essentially the same) using any sort of external detection, such as fMRI or EEG? How would ...
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Are there any EEG procedures currently available/in development that can formulate letters/words from deliberate, internal monologue?

I am thinking of the combination of an EEG-like device and software to monitor and analyze (very) deliberate thoughts of letters/words. The input would be in the form of raw electrical brain ...
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52 views

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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Dependancy EEG signals from regions of the brain

When we record an EEG signals , we apply an ICA on it , this algorithm assumes that the sources of signals are independent , could I assume that each region in the brain work independently , i.e the ...
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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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Accuracy of methods for detection of dementia in EEG

I found these methods mentioned in bioengineering and other papers: Fractal Dimension Measure, Probability Density Function of the Zero-crossing Intervals, Approximate Entropy But I think every of ...