The EEG is a device that can detect electrical activity from parts of the brain. When an EEG device is used, electrodes or sensors are placed next to different parts of the skull. The device will pick up a dozen or more different lines that show electrical activity in different parts of the brain.
The analysis of brain waves obtained by EEG devices is an area of science where bad methods, pareidolia and junk analysis is very abundant. There have been many people trying to use fancy statistical methods to try to extract identifiable "signals" or "signs" from EEG data that is very noisy and polluted. Muscle movements abundantly contaminate EEG readings. Many experimental studies using EEG readings have been guilty of poor design or Questionable Research Practices, such as failing to exclude unnecessary muscle movements that may contaminate EEG readings, or the use of way-too-small study groups.
When a neurologist asks you to sit for an EEG reading, you will be asked to remain still throughout the reading. But you will sometimes see experimental studies in which experimenters will unwisely ask people to make muscle movements when EEG readings are taken. For example, a person may be asked to press a button at a particular time during the EEG reading, or to click a particular key on a keyboard. A good study design will avoid mixing EEG readings and muscle movements.
Studies trying to find EEG correlates of various types of cognitive activity give inconsistent results. For example, the paper here states this about theta waves (one of the five types of brain waves), making it sound like the research results are "all over the map":
"Contrary to findings from scalp EEG/MEG, almost all intracranial studies of human memory report at least some decreases in theta power associated with memory success, and many report exclusively decreases in theta power...The intracranial studies we have discussed so far feature prominent theta power decreases,
which are at odds with theta increases reported in many scalp EEG studies. There are
however, several intracranial studies that show increases in theta power associated with
successful encoding or retrieval."
Another paper tells us this: "Similarly, encoding-related induced gamma oscillations in the hippocampus, prefrontal cortex, and left temporal lobe have been
reported to show an increase in amplitude with successful
encoding in humans [65,66] and the hippocampus of nonhuman primates [67], while the reverse relationship has also been reported in the hippocampus and rhinal cortex [4]." Of course, such inconsistent results and variations would be expected if scientists are analyzing different types of brain waves which can randomly vary, without any real relation to some task or some particular place in the brain being checked. Given the relatively low cost of EEG use (compared to much more expensive fMRI scans), and an abundance of neuroscientists looking for experimental work to do, and the freedom of an experimental neuroscientist to check brain waves from any of many brain regions, we might expect that almost any relation between a task and some type of brain wave increase or decrease somewhere in a brain might be found by one experiment or another.
Prior to a few years ago, experiments involving EEG readings were something that could pretty much only be done by neuroscientists or wealthy citizen scientists, because of the expense of EEG devices and the software used to analyze brain waves. But in recent years the door has been opened for low-cost experimentation involving EEG readings.
A new wave of inexpensive headband devices have been put on the market, devices capable of reading brain waves. Such devices have been marketed mainly for those interested in activities such as biofeedback and meditation. But the same devices can also be used for low-cost, risk-free neuroscience experiments involving taking brain wave readings, and analyzing them. In some cases, there is a low-cost software infrastructure that allows the data from such devices to be conveniently analyzed.
I researched the available devices, and found some scientific papers suggesting that at least one of them (the Muse 2 device) was capable of reliably reading brain waves from some areas of the brain. Below is the Muse 2 device that I bought for $249. The device is placed on the forehead, at about the same spot that you might put an exercise sweatband on your head.
The protocol I used to get the data below is described in the Appendix of this post, where I also describe scientific papers I read about the Muse 2 device, papers that influenced my experimental design. The Appendix goes into lots of details so that anyone can reproduce my experimental method.
There were six experiments I performed that I discuss below. The experiments detected five types of brain waves:
1. Delta waves, with a frequency between 0.5 and 4 Hertz.
2. Theta waves, with a frequency between 4 and 8 Hertz.
3. Alpha waves with a frequency between 8 and 12 Hertz.
4. Beta waves with a frequency between 12 and 35 Hertz.
5. Gamma waves with a frequency between 35 and 100 Hertz.
Experiment 1, Conducted on October 26, 2026
Here is a short description of what went on when Experiment 1 was performed.
1. Having read a recommendation to use an alcohol wipe in a particular way to enhance the performance of the Muse 2 headband, I wiped my forehead with one of those little alcohol wipes that come in tiny packets, and also wiped the electrodes of the Muse 2 headbands with such a wipe.
2. I turned on the Muse 2 headband, and placed it on my forehead, so that its front sensors touched the middle of my forehead.
2. I went into the Mind Monitor smartphone app described below, and verified that it was well-connected to the Muse 2 headband (the two communicate electronically).
3. I clicked on a sound recording file of a type described in the Appendix, clicking on the top file in a folder filled with such files.
4. The sound recording file told me: "Start recording, close eyes, and think of nothing." I clicked on the Record button of the Mind Monitor app. I then pressed the Muse 2 headband against my forehead, closed my eyes, and thought of nothing for the next 30 seconds, while remaining motionless.
5. After 30 seconds had elapsed in the sound recording, I heard the recording give this instruction: "Recall high school events." I did that silently for the next 60 seconds, while not moving. I not only visualized experiences I had, but also silently thought to myself sentences describing various experiences I had in high school.
6. After 60 seconds of silence from the recording, while I was silently doing the recall activity described above with my eyes closed, and not moving, I heard the word "Stop." I then pressed the Record button on the Mind Monitor app. When a recording is ongoing, this causes the recording to stop; and you see then on the app screen a prompt allowing you to email the file to any email (below is a screen shot of what appears). I pressed the Gmail button shown below, and then typed in my email address, sending the data file as an attachment in an email. This is very easy; all you have to do is type in your email address.
7. Using the very convenient Mind Monitor chart app at https://mind-monitor.com/Chart.php, I graphed the data from the email I received, an email including all of the brain wave data recorded during the roughly 90 second experimental session. The first 7 seconds from the recorded data was discarded. This was because such data would have been affected by my muscle action in pressing the Record button on the Mind Monitor app and my muscle action in closing my eyes and pressing the Muse 2 headband to my forehead; and it was desired that the analyzed data would only be data collected when I was motionless and with eyes closed.
Let us look at the experimental results. Below are the delta wave results and the gamma wave results that I collected:

The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was silently recalling experiences I had in high school. We see no major difference between the rest period and the recall period.
Below are the theta wave results and the beta wave results that I collected.

The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was silently recalling experiences I had in high school. We see no major difference between the rest period and the recall period.
Lastly, we have the alpha wave results that I collected:
Again, we see no major difference between the rest period and the recall period. The resting period alpha wave results are slightly higher.
Experiment 2, Conducted on October 26, 2026
The procedure for Experiment 2 was exactly the same as the procedure described above for Experiment 1, except that the sound recording file contained the instruction "recall holiday events" rather than the instruction "recall high school events"; and rather than spending 60 seconds recalling high school events, I spent 60 seconds recalling holiday events.
Let us look at the experimental results. Below are the delta wave results and the gamma wave results that I collected:
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was silently recalling experiences I had during holidays such as Christmas. We see no major difference between the rest period and the recall period.
Below are the theta wave results and the beta wave results that I collected:
Below are the alpha wave results that I collected:
Again, we see no major difference between the rest period and the recall period. The resting period alpha wave results are slightly higher.
Experiment 3, Conducted on October 27, 2026, Around Noon
The procedure for Experiment 3 was exactly the same as the procedure described above for Experiment 1, except that the sound recording file contained the instruction "recall words used by biologists" rather than the instruction "recall high school events"; and rather than spending 60 seconds recalling high school events, I spent 60 seconds recalling words used by biologists.
Below are the results for the delta waves and the theta waves:
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was silently recalling words used by biologists. We see no significant difference.
Below are the results for the beta waves and the gamma waves.
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was silently recalling words used by biologists. We see a slight increase in the gamma rays during the recall period. An AI overview tells us, "Because gamma waves share the exact same high-frequency electrical spectrum as active muscle tissue (electromyography, or EMG), even minor muscle movements—like blinking, swallowing, shifting your neck, or clenching your jaw—will create massive electrical noise that completely masks the brain's true gamma signals."
Below are the results for the alpha waves:
We see no substantial difference between the rest period and the recall period.
Experiment 4, Conducted on October 28, 2026
The procedure for Experiment 4 was exactly the same as the procedure described above for Experiment 1, except that the sound recording file contained the instruction "recall people you loved seeing" rather than the instruction "recall high school events"; and rather than spending 60 seconds recalling high school events, I spent 60 seconds recalling people I loved seeing.
Below are the results for the delta waves and the theta waves.

The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing, motionless. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was motionless and silently recalling people I loved seeing. We see no significant difference.
Below are the results for the alpha waves and the beta waves.
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing, motionless. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was motionless and silently recalling people I loved seeing. We see no significant difference.
Finally there was the result for the gamma waves:
We see no substantial difference between the rest period and the recall period.
Experiment 5, Conducted on October 28, 2026
The procedure for Experiment 5 was exactly the same as the procedure described above for Experiment 1, except that the sound recording file contained the instruction "recall celebrities with words in their names" rather than the instruction "recall high school events"; and rather than spending 60 seconds recalling high school events, I spent 60 seconds recalling celebrities with words in their names. For example, I recalled the name of Frank Sinatra (a name including the English word "frank"), and I also recalled the name of Tom Cruise (a name including "cruise," a word in English). The recall activity was quite verbal, and required an element of thinking in addition to recall.
Below are the results for the delta waves and the theta waves.
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing, motionless. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was motionless and silently recalling celebrities with English words in their names. We see no significant difference.
Below are the results for the alpha waves and the beta waves.
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing, motionless. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was motionless and silently recalling celebrities with English words in their names. We see no significant difference.
Finally, we have below the results for the gamma waves.
We see no big difference between the rest period and the recall period. The recall period may have a tiny bit more gamma waves, but the difference looks like a mere random fluctuation.
Experiment 6, Conducted on October 28, 2026
The procedure for Experiment 6 was exactly the same as the procedure described above for Experiment 1, except that the sound recording file contained the instruction "recall historical figures" rather than the instruction "recall high school events"; and rather than spending 60 seconds recalling high school events, I spent 60 seconds recalling the names of historical figures. For example, I recalled the names of Julius Caesar, Marcus Aurelius, Plato, Aristotle and Descartes (among quite a few others).
Below are the results for the delta waves and the theta waves.
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing, motionless. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was motionless and silently recalling historical figures. We see no big difference, and these waves are slightly higher in the resting state.
Below are the results for the alpha waves and the beta waves.
The left third of the graph shows what was occurring with these two types of brain waves when I was thinking of nothing, motionless. The right two-thirds of of the graph shows what was occurring with these two types of brain waves when I was motionless and silently recalling historical figures. We see no noticeable difference.
Finally, we have below the results for the gamma waves.
We see no major difference. The resting state has slightly less gamma waves in the resting state, but in the first graph there was slightly more delta waves and theta waves in the resting state. So overall from this experiment, we get no evidence of more brain waves during a recall state than during a rest state.
Conclusion
The results displayed above are consistent with the idea that the brain is not the source of recall. Overall, we fail to see any substantial evidence of net greater brain wave activity during the 60 seconds of recall activity in an eyes-closed motionless state, compared to the 30 seconds in which no thinking and no recall occurred in an eyes-closed motionless state, In two of these graphs we see a little more activity during the recall period for one of the wave types; but this is offset in other graphs by less activity during the recall period than during the rest period, so "it's a wash."
The results I report above are consistent with the findings discussed in my post "The Brains of 60 Subjects Seemed to Look the Same During Eyes Closed Mental Rest, Recall and Math Activity," which describes a scientific paper discussing EEG experiments. However, my experimental efforts using the Muse 2 were a low-budget "shoestring" affair involving only six quick experiments with a single person. So I cannot claim any great weight in these experiments. I do think that the protocol used is a good one, as it involves only brain wave readings taken during an eyes-closed motionless state. And the type of graphs I have presented show a good way to compare whether there is any clear difference between brain waves in a rest state and brain waves in a state of mental activity.
After several days of testing with the Muse 2 device, I started to get a complete failure of the device to connect to the Mind Monitor app. I now cannot recommend the device to any low-income buyers.
Appendix
The average reader may want to skip this appendix, which is intended mainly for those who may be interested in reproducing these experiments.
Before buying the Muse 2 device, I reviewed several scientific papers discussing whether the device was effective.
- The 2021 paper "Validating the wearable Muse headset for EEG spectral analysis and Frontal Alpha Asymmetry" stated the following: "We show that the MUSE can be used to examine power spectral density (PSD) in all frequency bands, the individual alpha frequency (IAF; i.e., peak alpha frequency and alpha center of gravity), and frontal alpha asymmetry. Furthermore, we observed satisfying internal consistency reliability in alpha power and asymmetry measures recorded with the MUSE." The paper had "recommendations for using the Muse device in future clinical and experimental research" that included "eye’s closed recordings of at least 1 minute" and "cleaning the participants’ skin with alcohol wipes and wetting the dry electrodes to reduce impedance." My experiments described above follow these recommendations.
- Another scientific paper (the 2024 paper "Comparison of EEG Signal Spectral Characteristics Obtained with Consumer- and Research-Grade Devices") analyzed the Muse 2 device. Referring to the side electrodes of the device that pick up signals from the temporal lobe, the paper claimed that the Muse 2 device "exhibited poor signal quality at the TP9 and TP10 channels (temporal site)" but said "the signal on the frontal electrodes was satisfactory." My experiments described above took this into consideration, and I have only given data from the frontal electrodes (corresponding to the channels of AF7 and AF8).
- A 2026 paper in Nature ("A comprehensive evaluation framework for consumer-grade EEG devices: signal quality, robustness, and usability") discussed tests of several EEG headband devices including Muse 2, and said, "The results indicate that all tested devices successfully detected both non-neural physiological artefacts and brain wave signals, with consumer-grade devices displaying comparable alpha rhythm characteristics and noise robustness to the research-grade device." The paper noted "Muse2 exhibited relatively higher sensitivity to movement compared with the other devices." My experiments described above took this into consideration, and my graphs of those experiments show only data gathered when I was entirely motionless.
A major reason why I selected the Muse 2 device instead of competitors is that I saw a video saying that the Muse 2 device can be used with an app that can generate a data file, and that you can conveniently get an email with the Muse 2 data gathered by that app at a particular time. I paid $15 for the app (called Mind Monitor), and found that it works very well for the type of experimental purposes I had in mind. The Mind Monitor app is a smartphone app specifically designed to collect data from the Muse 2 headband. The Mind Monitor app includes a convenient Start/Stop button allowing you to manually start recording data from the Muse 2 headset, and then manually stop recording the data. As soon as you have stopped recording data, you will see on your smartphone some options that allow you to send the recorded data to yourself as an email.
I tried this, and found this all worked very conveniently. What was sent to my email was an email with a comma-separated data file as an attachment. When I opened up the email with the data, and clicked on the attachment sent with the email, I got a screen with an "Open With Google Sheets" button at the top right. Clicking on that button produced a Google Sheets spreadsheet with all of the Muse 2 data appearing well-arranged in columns corresponding to particular EEG channels. Each row had a timestamp in its first column.
To produce the graphs above, I used File/Download from the Google Sheets spreadsheet, to save the comma-separated file on my hard drive. I then went to the very convenient Mind Monitor chart app at
https://mind-monitor.com/Chart.php, Using the Choose File button on that web page, I chose the comma-separated file I had just saved on my hard drive. Once you have done this, it is very easy to chart the data on the comma-separated file created by the Mind Monitor smartphone app. You can choose which type of brain waves you wish to chart, and which of the six Muse 2 channels you wish to use. Having heard from one of the scientific papers above that the two frontal channels (AF7 and AF8) are the most reliable, I graphed only those channels.
After buying the Muse 2 device, I designed an experimental protocol for the purpose of trying to test whether brain waves differ between a state of mental rest, and various states of mental activity. I decided the experiments would involve reading of brain waves while I was motionless, silent, and with eyes closed. Each experimental run would involve 30 seconds of eyes-closed mental rest involving no thinking, seeing, moving or recalling, followed by 60 seconds of strong mental activity involving some particular task (occurring in a motionless, eyes-closed state).
To help use this experimental protocol, I created a list of dozens of short prompts, each of which would involve some instruction such as "Recall names of historical figures" or "keep subtracting 7 from 200" or "imagine a trip to a foreign country." For each of the prompts, I made a sound recording of about 100 seconds. Each sound recording began with this instruction: "Start recording, close eyes, and think of nothing." Then 30 seconds later (after 30 seconds of silence) each sound recording would have a very short instruction to do some type of mental activity. The instruction would last no more than about six seconds. Then 60 seconds later (after 60 seconds of silence) the sound recording would say, "Stop."
To use one of the recordings as part of the experiment, first I used an alcohol wipe to wipe my forehead and the electrodes of the Muse 2 headphone. I then turned on the Muse 2 headband, and put it on my head, so that the front electrodes touched the middle front of my forehead. I then entered into the Mind Monitor app on my iPhone. After verifying that the connection was good between that app and the Muse 2 headband, I clicked on the top file in my folder of sound recordings:
Clicking on the sound recording, I heard the words "Start recording, close eyes, and think of nothing." Upon hearing that, I clicked on the Record button on the Mind Monitor app, and quickly closed my eyes and pressed the Muse 2 device against my forehead. I thought of nothing for the next 30 seconds, and did not move. After 30 seconds of silence from the sound recording, I then heard the prompt asking me to perform a particular cognitive task. I did that task for the next 60 seconds, until hearing a "Stop" instruction at the end of the sound recording. When I heard that instruction, I had been eyes-closed and motionless for the previous 90 seconds. As soon as I heard that "Stop" instruction, I pressed the Record button on the Mind Monitor app, which causes the current recording to stop.
I thereby had about 97 seconds of brain wave data recorded. Once you stop a recording with the Mind Monitor app, you get a screen allowing you to email the recording to yourself. I used this smartphone capability to send an email to myself, one that included the brain wave data as an attachment. The graphical user interface allows you to choose a title for the email, and it is a good idea to type a unique title such as "Experiment 1, testing recall of high school events."
The email contained brain wave data that I graphed above. After graphing the data I excluded the first seven seconds of recorded data, because under my method there was muscle activity during most of those seconds. I wanted the graphed data to be only data for seconds in which I was motionless, and with eyes closed; so I excluded the first 7 seconds of the data. I made that exclusion by a simple act of cropping a bit of the left part of some screen shot from a chart obtained at the Mind Monitor chart app at https://mind-monitor.com/Chart.php. So, for example, you can very easily chart all of the data showing one or two particular brain waves, and two channels (using checkboxes of that web page). You can then take a screen shot of the resulting graph, and simply crop 7 seconds from the left part of the graph (removing something like the left 6% of the image).
I followed the same procedure described above when running each of the experiments described here.
Below are options I used when graphing a brain wave of a particular type (gamma waves).
Besides the experiments discussed above (involving recall tasks), I also did experiments involving two other types of activity: math calculation and imagination. Two future posts will report on the results of such experiments.