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Biological signals are analogues and hence continuous. Early EEG systems simply recorded the analogue signals and displayed it as a continuous signal graphically as wiggly lines written by little pens on a roll of paper (Fig. 1). Only after analogue-to-digital converters became available, could EEG signals and the likes be digitally sampled. Fig. 1. ...


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The semantic N400 and syntactic P600 are some of the most well established ERP components in the literature. They were discovered decades ago and the results have been replicated hundreds of times in other papers. There is just no question that they are present and very robust. That's not saying they are there 100% of the time in 100% of people. All we know ...


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you can convert your data frame to numpy array using data=df.to_numpy() If your data is single trial meanining two dimensional dataset, you can use channel_names=df.columns.tolist() channel_types=len(channel_names)*['eeg'] sfreq = 1000 # in Hertz montage = 'standard_1005' info = mne.create_info(channel_names, sfreq, channel_types, montage) raw = mne.io....


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No. The key term that will help you look for research about this is the word "biomarker". There are certainly correlations with autism and some of the measurement techniques, but they aren't specific enough to be used for diagnosis. Plitt et al 2015 compared fMRI classification to a behavioral scale in high-functioning ASD vs IQ-matched typically ...


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I personally don't see the contradiction. It seems very contrived from your end to establish that there is one. I think it's very clear from the definition of the alpha wave that 'duration' is synonymous with 'period' in that case. In the 4th quote, defining 'duration', it even says this outright, "The duration of the cycle of individual components of a ...


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Not sure, but I think you'd find it interesting that there are some humans out there who do not have an intuitive sense of any number past two. For example, people who are part of hunter gatherer tribes who, for example, only need to know that they have a lot of berries, not that they have exactly 7 or exactly 65; for their lifestyle, there is no need for ...


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To add to the answer provided by @AliceD, pure digital waveforms are square waveforms as they represent steps between 1s and 0s and are therefore not continuous. Analogue waveforms are not. They are smooth continuous waves and can represent many voltage points at each millisecond, microsecond or nanosecond between the peaks and troughs. Outputs from ADCs (...


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I am unsure to what your paradigm exactly does, but as to your frequency bands a layman's interpretation would be as shown in Table 1. Hence, the frequency bands you investigate could simply be different, because the states associated with them are different. As to your band filter - the best thing to do is find the rock stars in your field and copy their ...


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The eegkit package for R is a good and open source toolkit for data analysis. It is easy to use and you can get really cool plots.


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The basic answer is that it depends on: training protocol (duration, frequency) modality (hearing, seeing, memorizing, attention, etc) individual variance (observable changes varies between individuals - some may not respond to the training) So it has to be determined individually for each task (not enough information provided in the original question). In ...


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It is possible to look at within-subject interactions using cluster permutation tests. I.e. Eric Maris here: https://mailman.science.ru.nl/pipermail/fieldtrip/2011-January/003447.html 2x2x2 with factors A,B,C has 4 interactions AxB, AxC, BxC and AxBxC and 8 cells +--------+-------------+-------------+ | C = 0 | B = 0 | B = 1 | +--------+------...


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You have one p-values for each ROI timecourse (for the largest cluster) indicating whether your conditions are exchangeable. If you want to correct for the 4 ROIs you could use any adequate multiple comparison correction, from classical Bonferroni (which might be too conservative as the tests are likely not completly independent) to Benjamini-Hochberg style ...


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