Hey, I was doing some research on using the Fourier transform on EEG data and it would be nice if we could decipher the non-sinusoidal waves associated with single firing neurons within the pool of firing neurons in an EEG recording. The problem with using the Fourier transform on single neuron sites is that it solves for the individual sine waves when single neuron waves are non-sinusoidal. I came up with an idea that may make it possible to decipher the neuron non-sinusoidal brainwaves at each location within the brain. My idea is that you would need at least three sensors producing EEG data simultaneously. For each sensor, you could apply the Fourier transform and decipher all the individual sine waves. If each sensor detects all the waves of every single neuron firing an action potential in the brain at some particular time, then theoretically, each of the three + sensors should produce the same individual calculated sine waves in the frequency domain plot at some particular time, just at varying amplitudes of each calculated sine wave for each sensor since the three + sensors would be located at different locations at the scalp. If that does turn out to be the case, then each calculated sine wave associated with its frequency could be located to a specific location within the brain by identifying the amplitude of each sine wave with their corresponding frequencies in each of the three + EEG recordings. Another words, identify one of the calculated sine waves in one EEG sensor recording and then find this same calculated sine wave in the other two + EEG sensor recordings and then determine the location within the brain of the calculated sine wave based on the amplitude differences of the calculated sine wave in each of the three + sensors. This would be done for all the calculated sine waves in the EEG recordings of all the sensors. Next, combine all the calculated sine waves that correspond to the same location within the brain to get the non-sinusoidal shape associated with the neuron(s) at each precise location within the brain. It might be good to know the typical spacing of neurons in the brain, so you don’t add up two sine waves from separate neighboring firing neurons in the brain when you wish to identify the wave associated with each separate firing neuron in the brain. With this idea, it may be possible to determine the individual non-sinusoidal brainwaves associated with single firing neurons by using at least three EEG recording sensors placed at different locations on the scalp. I hope this was clear. Is this a good idea? Has this idea already been attempted? What do you think?
It is a little hard for me to wrao my head around that completely, and I am certainly no expert. I what I do know is that there are methods to specifically look at the non-sinusoidal components of a frequency spectrum (IRASA or FOOOF). But I am not sure if they achieve what you are looking for.
I did research on that, and it is mostly over my head. Does that mean that we can obtain the non-sinusoidal brain waves of single firing neurons? I am inspired by a vision that perhaps one day, I may be able to use an EEG that will be able to display on a computer screen some image that I am looking at or thinking about and play audio that I am listening to or thinking about. Do you think that is a possibility in the near future?@@real.psyched
Thaks for such an informative video, but I have doubt while calculating PSD of alpha wave why in the graph the frequecy axis is showing in range of 100-500 Hz
This video helps me get clear the difference between the evoked potential and induced potential. Thx a lot man.
Our pleasure! Glad it was helpful!
Hey, I was doing some research on using the Fourier transform on EEG data and it would be nice if we could decipher the non-sinusoidal waves associated with single firing neurons within the pool of firing neurons in an EEG recording. The problem with using the Fourier transform on single neuron sites is that it solves for the individual sine waves when single neuron waves are non-sinusoidal. I came up with an idea that may make it possible to decipher the neuron non-sinusoidal brainwaves at each location within the brain. My idea is that you would need at least three sensors producing EEG data simultaneously. For each sensor, you could apply the Fourier transform and decipher all the individual sine waves. If each sensor detects all the waves of every single neuron firing an action potential in the brain at some particular time, then theoretically, each of the three + sensors should produce the same individual calculated sine waves in the frequency domain plot at some particular time, just at varying amplitudes of each calculated sine wave for each sensor since the three + sensors would be located at different locations at the scalp. If that does turn out to be the case, then each calculated sine wave associated with its frequency could be located to a specific location within the brain by identifying the amplitude of each sine wave with their corresponding frequencies in each of the three + EEG recordings. Another words, identify one of the calculated sine waves in one EEG sensor recording and then find this same calculated sine wave in the other two + EEG sensor recordings and then determine the location within the brain of the calculated sine wave based on the amplitude differences of the calculated sine wave in each of the three + sensors. This would be done for all the calculated sine waves in the EEG recordings of all the sensors. Next, combine all the calculated sine waves that correspond to the same location within the brain to get the non-sinusoidal shape associated with the neuron(s) at each precise location within the brain. It might be good to know the typical spacing of neurons in the brain, so you don’t add up two sine waves from separate neighboring firing neurons in the brain when you wish to identify the wave associated with each separate firing neuron in the brain. With this idea, it may be possible to determine the individual non-sinusoidal brainwaves associated with single firing neurons by using at least three EEG recording sensors placed at different locations on the scalp. I hope this was clear. Is this a good idea? Has this idea already been attempted? What do you think?
It is a little hard for me to wrao my head around that completely, and I am certainly no expert. I what I do know is that there are methods to specifically look at the non-sinusoidal components of a frequency spectrum (IRASA or FOOOF). But I am not sure if they achieve what you are looking for.
I did research on that, and it is mostly over my head. Does that mean that we can obtain the non-sinusoidal brain waves of single firing neurons? I am inspired by a vision that perhaps one day, I may be able to use an EEG that will be able to display on a computer screen some image that I am looking at or thinking about and play audio that I am listening to or thinking about. Do you think that is a possibility in the near future?@@real.psyched
Single neuron activity with EEG is generally not possible (neither sinusoidal nor non sinusoidal)
Thank you so much. You’re such a blessing
Great explanation, thank you!
Very informative
thanks!..pretty clear!
Thank you sir! I would nice to see a video on lead field in MEG.
Thanks for the tip! More methods 101 videos are coming up! I will put that one on the list! :)
I need this!!
Thaks for such an informative video, but I have doubt while calculating PSD of alpha wave why in the graph the frequecy axis is showing in range of 100-500 Hz
Not sure what you are referring too. As far as I can tell no frequency of 100-500Hz is shown in any plot