Friday 28 November 2014

Muse review updated December 28, 2014

I received the Muse on November 27th.  Here are my impressions so far:
1)  The Muse has been well-designed from aesthetic and ergonomic standpoints and is no more intrusive than a pair of glasses.  Unlike the NeuroSky device, it is very comfortable and expands for an extra-large head size.  Setting up and getting the application to work was trouble-free on my Galaxy Note 8.0 tablet.  There is an FAQ site that answers a great many questions, although not all that I had, but my contact at Interaxon has been extremely helpful in clarifying the additional questions that I had.
2)  The Calm (downloaded for free) is the only app that is available at present.  It is designed to facilitate and train calm focus.  It differentiates between calm, active, and neutral states. These states are not defined in terms of EEG bandwidths, which is apparently proprietary information.  Granted, but it is unclear what is meant by these different states.  Is "active" the same as wandering (which is what the documentation says) or does it include active thinking as in problem solving?  Would it not make sense to differentiate active thinking from wandering (see my post, Automating on the road to mindfulness, dated 11/5/12)?  And what does "neutral" represent?  All that we are told is that it is somewhere in between calm and active.
3)  The Calm app provides a diagram of the quality of the connections from the different sensors as well as an indication of noise.  This is essential information to ensure that you are getting proper readings.  I have not had much trouble in getting good readings on myself, but I tried the Muse on one of my daughters and had great difficulty getting one of the sensors to show up on the diagram.  What I discovered was that the band was not touching her forehead no matter how I adjusted it.  (She has a rather oblong rather than round head.)  I had to insert a wedge under the band in order to get the sensor to touch her forehead.  
4)  There is also a calibration exercise at the outset.  This is a good idea as it has the potential for getting an individual profile on how your mind works.  The exercise is a semantic fluency task common to many psychological tests.  This type of activity is supposed to correlate with frontal and temporal areas, which is where the sensors are, and draws on semantic memory.  However, it is not clear how this kind of cognitive activity specifically relates to what is supposed to be measured by the Calm.
5)  The instructions for the Calm app ask that you count your breaths.  Although this is a standard meditation technique, I have always preferred noting the breath as in the Mahasi technique.  Initially, it did not seem to matter whether I counted my breaths or simply noted them.  I thought it would probably work for any technique that has a single object focus (focused attention or FA), but I doubted whether it would work as well with an open monitoring (OM) or mindfulness meditation technique, which has a different brainwave profile.  However, over time and having amassed many hours of use of the Muse, both using the feedback from the app and using the app with the sound off to simply to monitor different ways of meditating, I am beginning to wonder whether the technique I use is the primary determinant of the calm score I obtain.  (More about this later.) 
6)  The sound feedback is pleasant enough consisting as it does of water lapping on the shore and stormy winds.  In the supporting documentation, the wind is clearly identified as representing wandering, but there is also reference to environmental sounds, which presumably include the lapping waves.  I asked about this and was told that, while the wind represents activity as it occurs, the waves reflect longer term activity:  "The wave sound gradually gets quieter throughout the session if you keep the winds calm enough."  This is helpful information as I had difficulty understanding how the wave sound worked as it seemed to be independent of the wind.
7)  In my experience, while I can quiet the wind sound, the waves are more or less constant throughout, although they vary in intensity.  I question the value of having such constant sound as this can be quite distracting in itself.  In a future post, I will explain why this presence of more or less constant sound undermines the intent to focus on the breath.  Because of how distracting the sounds were to me, I prefer to run the app with the sound off and use it just to monitor my meditation.  I found I achieved a better calm score with the sound off than I did with the sound on.  This may be because I have meditated on my own for a number of years and know how to calm my mind.  Also, because I have mainly practiced with an open monitoring style of mindfulness meditation, my mind may have a tendency to go to these environmental sounds, especially as they kick up and become more prominent.   
8)  The data provided by the app is quite helpful and allows you to review with graphs the profile of active, calm, and neutral throughout the session and to review moment by moment what occurred in terms of these different states.  After you achieve a score of 5000, the Muse opens up to added features.  These features reflect basic statistics about what you have been doing with the Muse such as the time of day you practice, how long you practice, and suggestions about what you might do to improve your practice.  You can also review previous sessions and compare them in terms of how calm you were. 
9)  Given that there is not at present a variety of apps available, I would like to see the Muse made compatible with BioExplorer and/or BioEra, which are widely used in neurofeedback circles.  This would make it very easy for anyone familiar with either software to develop their own applications.  At the very least, I would like to see the raw EEG, preferably broken down into standard bandwidths.  I am advised that this is accessible with the developers’ kit, but it would nice if it was an included app rather than something that you have to program yourself.
10)  I have a concern about how substantial the main sensors are as they are placed on a very thin band.  The Muse team said that the strip could be replaced for free within 180 days.  I wonder whether the strip would last beyond that point with regular use.  We will see.

In summary, I have many questions and quibbles, but overall the Muse has many impressive features and a reasonably good app that appears to work in developing focused awareness.  The sound feedback is a major concern, but this is going to be a problem with any attempt to use this type of device to assist meditation when constant sound may act as a distraction.  As a long-term meditator, I prefer to use the Calm app to monitor my meditation rather than to assist it.  I look forward to more applications for the Muse to fulfill the promises that have been made for it.

Monday 18 August 2014

Another update on available and promised wearable devices (November 28, 2014)

In November, 2012 I published a post on some of the available and promised "wearable" neuroshaping devices.  I updated it in April, 2014.  Not a lot has changed as far as availability. For some of the new devices, the general release dates keep being pushed forward.  However, the long anticipated Muse, is now available.

The MindWave from Neurosky is a one active channel device.  It has been available for a while. It retails for about $100 and comes with ten apps and many more are available (see http://www.neurosky.com/Products/MindWave.aspx).  I have tried it and it seems to work, and it is great that it can be used with third-party software such as BioExplorer and BioEra.  However, I find it very uncomfortable.  It might be fine for a child but not for someone with a big head like mine!
MindWave

There is an earlier version (MindSet), which was the first mass market neuroshaping device
introduced in 2009.  It has earphones and looks more comfortable.  It uses the same chip set as the MindWave.  NeuroSky provides a comparison chart that shows the capabilities of each of their products (see http://support.neurosky.com/kb/technology/what-are-the-differences-between-the-mindset-mindwave-mindwave-mobile-and-mindband).

Another company promises to introduce the Melon, originally called the Axio.  It is based on the NeuroSky chip.  It is an attractive and comfortable appearing three sensor band, which is adjustable to different head sizes.  Again, they exceeded their goal in crowd-
sourcing (https://www.kickstarter.com/projects/806146824/melon-a-headband-and-mobile-app-to-measure-your-fo).
Melon
The developers of the Melon now have a website (www.thinkmelon.com).  The device was promised for the summer of 2014, but it still isn't available  Given that this device uses the NeuroSky chip, I thought it might make its original release date.  But, in this business, no one seems to meet their release dates.

Muse
Muse from Interaxon is now available (http://www.choosemuse.com).  Money was raised initially through an Indiegogo campaign, which quickly exceeded the goal, and more private money was raised subsequently.  It was originally to be released in the spring of 2013, but the date for its release was pushed forward several times. Prototypes were demonstrated at CES 2014 and received rave reviews. The marketing of it has been truly awe-inspiring.  It now can be obtained, although there is only one app for it, Calm, which is designed to develop focused awareness.

The Muse was developed with Interaxon's own chip set and technologies.  The device has seven sensors and four active channels (AFp3, AFp4, TP9, TP10), which are on the forehead and around the ears.  Detailed technical specifications are now available (http://s3.amazonaws.com/totem_production/assets/other/5987/Muse_-_Tech_Spec_Sheet_CES_-_2014.pdf?1387319049), and they look quite respectable.    

The producers of the Emotiv  EPOC 14 channel device are developing the INSIGHT, which is a five channel device.  Again, they exceeded their kickstarter goal of $100,000 by over $1.5 million (https://www.kickstarter.com/projects/tanttle/emotiv-insight-optimize-your-brain-fitness-and-per).

INSIGHT
The technical specifications of the INSIGHT reveal that it will have five active channels at AF3, AF4, T7, T8, Pz with two references (see http://emotiv.co/product.php).  The EPOC required saline preparation, but the INSIGHT uses "a proprietory polymer sensor that offers great electrical conductivity without any preparation whatsoever."  This is the truly innovative aspect of this product. Also, these polymer sensors can be applied over hair, while the other products listed above only have sensors on areas free of hair.

The INSIGHT was originally promised for the summer of 2014, but the release date is now December 2014.

The ENOBIO from Neuroelectrics (http://www.neuroelectrics.com/enobio) is a very promising, but expensive high end device.  It comes in 8 channel, 20 channel and 32 channel configurations.  It uses dry electrodes and bluetooth.  This one is definitely on my wish list, and it is actually available now.









Please feel free to comment or, if you wish, direct questions and comments to me directly at drampsych at gmail.com.

Monday 12 May 2014

Another brain wave sensor

Yet another brain wave sensor, Brainlink, hits the market.  This Chinese product has one dry sensor and an ear reference and appears to be based on the NeuroSky chip.  It does not look terribly innovative or particularly well designed, but is probably more comfortable than NeuroSky's Mindwave.  There is a video illustrating it on YouTube.  It is on eBay for $299.

Aside from these devices working with smartphones and using dry sensors, they are decidedly less capable than traditional neurofeedback devices, which have come down in price and can be had for not much more than these devices.  An example is the GP8, which runs about $350 with all the bells and whistles.  It is a single channel trainer and comes with its own software but can also run BioExplorer.


Wednesday 30 April 2014

Another neuroshaping website

Guy Blankett has an interesting website, www.mindfulness-tech.co.uk, that shares many of the ideals of  the neuroshaping project.  

Thursday 24 April 2014

The website of Attentive Mind

I have been revamping my website, attentivemind.ca, which describes my psychology practice in Bancroft and Peterborough, Ontario.  I am branching out with online services which are available to all residents of Ontario.

Thursday 3 April 2014

April, 2014 update on available and promised devices

In November, 2012 I published a post on some of the available and promised "wearable" neuroshaping devices.  I updated it in April, 2014.  Not a lot has changed as far as availability. For the new devices, the general release dates keep being pushed forward.

The MindWave from Neurosky is a one active channel device.  It has been available for a while. It retails for about $100 and comes with ten apps and many more are available (see http://www.neurosky.com/Products/MindWave.aspx).  I have tried it and it seems to work, and it is great that it can be used with third-party software such as BioExplorer and BioEra.  However, I find it very uncomfortable.  It might be fine for a child but not for someone with a big head like mine!
MindWave

There is an earlier version (MindSet), which was the first mass market neuroshaping device
introduced in 2009.  It has earphones and looks more comfortable.  It uses the same chip set as the MindWave.  NeuroSky provides a comparison chart that shows the capabilities of each of their products (see http://support.neurosky.com/kb/technology/what-are-the-differences-between-the-mindset-mindwave-mindwave-mobile-and-mindband).

Another company promises to introduce the Melon, originally called the Axio.  It is based on the NeuroSky chip.  It is an attractive and comfortable appearing three sensor band, which is adjustable to different head sizes.  Again, they exceeded their goal in crowd-
sourcing (https://www.kickstarter.com/projects/806146824/melon-a-headband-and-mobile-app-to-measure-your-fo).
Melon
The developers of the Melon now have a website (www.thinkmelon.com), and the device is now promised for the summer of 2014.  Given that this device uses the NeuroSky chip, I thought it might make its original release date which was the summer of 2014.

Muse
Muse from Interaxon is still not available (http://www.interaxon.ca/muse/).  It was originally to be released in the spring of 2013, but it is still on preorder status. Prototypes were demonstrated at CES 2014 and received rave reviews.  It is reported that it is being developed with Interaxon's own chip set and technologies.  Technical specifications have yet to be posted.  They exceeded their goals in the Indiegogo campaign and raised more money privately.  The promised device is supposed to have four active channels, which are on the forehead and around the ears.  

The producers of the emotiv  EPOC 14 channel device are developing the INSIGHT, which is a five channel device.  Again, they exceeded their kickstarter goal of $100,000 by over $1.5 million (https://www.kickstarter.com/projects/tanttle/emotiv-insight-optimize-your-brain-fitness-and-per).

INSIGHT
The technical specifications of the INSIGHT reveal that it will have five active channels at AF3, AF4, T7, T8, Pz with two references (see http://emotiv.co/product.php).  The EPOC required saline preparation, but the INSIGHT uses "a proprietory polymer sensor that offers great electrical conductivity without any preparation whatsoever."  This is the truly innovative aspect of this product. Also, these polymer sensors can be applied over hair, while the other products listed above only have sensors on areas free of hair.

The INSIGHT was originally promised for the summer of 2014, but the release date is now December 2014.

The ENOBIO from Neuroelectrics (http://www.neuroelectrics.com/enobio) is a very promising, but expensive high end device.  It comes in 8 channel, 20 channel and 32 channel configurations.  It uses dry electrodes and bluetooth.  This one is definitely on my wish list, and it is actually available now.









Please feel free to comment or, if you wish, direct questions and comments to me directly at drampsych at gmail.com.

Monday 24 March 2014

Brainwaves hit the runway

Another application for wearable brainwave equipment, appropriately named NEUROTiQ, is hitting the fashion runways: http://neurogadget.com/2014/03/18/light-style-fashion-item-displays-brain-states-colors/10053.  

It uses the EMOTIV platform.  According to the blurb on the neurogadget website:  

NEUROTiQ turns brain activity into colorful lights that correspond to specific brain states according to the followings:
  • Delta brainwaves (deep sleep) show up in red
  • Theta state (meditation) activates orange lights
  • Beta (consciousness) turns into yellow-green
  • Gamma is a multi sensory brain state, so it turns on blue, purple, and red bulbs as well
The company producing this item, Sensoree (http://sensoree.com), promotes "extimacy" (externalized intimacy).  You can literally wear your emotions with a variety of their "artifacts" (products).

The company even has an entrainment meditation application (http://sensoree.com/artifacts/thetavision-instant-meditation/).

Sunday 23 March 2014

Gamma: Vipassana Goenka style

A study by Cahn et al (2010) looks at EEG during Vipassana meditation in the Goenka style.  The lead-up discussion points to other studies of Vipassana that have more in common with the Mahasi style without, in my view, sufficiently highlighting the great difference between these two styles.

The style of meditation studied is described as follows:
"The specific Vipassana meditative technique involves attentional scanning of sensations
throughout the body in an iterative and cyclic fashion, scanning body sensations from the top of the head to the toes and back again repeatedly, with the concomitant adoption of an attitude of detached observation and non-reactivity to any sensations and thoughts that may arise."

16 subjects with an average of 20 years of daily meditation of at least 30 minutes daily were recruited for the study.  The authors used a 19-channel electrode cap with the following locations: Fp1, Fp2, F3, F4, F7, F8, Fz, C3, C4, T7, T8, Cz, P3, P4, P7, P8, Pz, O1, and O2.  The major bands were demarcated as follows:  delta (1–4 Hz), theta (4–8 Hz), alpha (8–12 Hz), beta (12–25 Hz), and gamma (35–45 Hz).  The contrasting conditions studies were eyes-closed meditation versus ‘‘everyday thinking.’’ However, the authors note that the meditators found it difficult not to slip into meditation when they sat quietly with their eyes closed, a common problem in these types of studies.

Band widths

Statistical differences


































The following is a summary of what they found:
"The pattern of meditation-induced increase in parieto-occipital gamma activity, concomitant decrease in frontal delta power, and a shift to a more frontal distribution of theta activity suggests that sensory processing and cognitive processing were altered during meditation relative to the control state."

They entertain alternative hypotheses about what occurred with this increase in gamma activity.  It is possible that this is a specific effect of the iterative body scanning technique, or it may reflect the enhanced perceptual clarity often reported in open-monitoring techniques.

This study highlights several problems with studies of meditation.  First, there are very real differences between different meditation styles, even when they come with a similar label.  One cannot assume that the findings of this study would generalize to Mahasi style Vipassana, for instance.  Second, the band widths are not standardized across studies.  The gamma band (35-45 Hz.) in this study is not comparable to the gamma band in other studies:  25-42 Hz. in Lutz et al, (2004) and 25-35 Hz. in Berkowitz-Ohana et al (2011).  Third, the control conditions of "relaxation" or "everyday thinking" are highly problematic given that most seasoned meditators will meditate as soon as they sit quietly and close their eyes.

Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2012). Mindfulness-induced changes in gamma band activity–implications for the default mode network, self-reference and attention. Clinical Neurophysiology, 123(4), 700-710.


Cahn, B. R., Delorme, A., & Polich, J. (2010). Occipital gamma activation during Vipassana meditation. Cognitive Processing11(1), 39-56.

Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., & Davidson, R. J. (2004). Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proceedings of the National Academy of Sciences of the United States of America101(46), 16369-16373.


Yet another EEG wearable

For those into lucid dreaming, there is a new product using EEG that promises to help:  https://iwinks.org/about/aurora.  It can be used with or without a smartphone.

They did crowsourcing through Kickstarter and surpassed their goal of $90,000 by 266%.  It is promised for June, 2014.

Thursday 20 March 2014

The EEG view of the default mode network

Studies of self-referential processing and mind wandering point to the role of the default mode network (DMN), which is prominent when there are no task domains.  Most recent studies of the DMN use fMRI.  An interesting study of the DMN was done by Chen et al (2008) with EEG.  Using a high density 128 channel array, 15 healthy female subjects were tested in eyes-closed and eyes-open conditions and given no other instructions than to relax, the idea being that this would represent the DMN.

According to the authors, their findings show
...the dominant spectral field powers entails a constellation of large low-frequency delta activity at the prefrontal area, much smaller theta activity at fronto-central area, alpha-1 activity at the anterior-posterior area, alpha-2 and beta-1 at the posterior area, and high-frequency beta-2 and gamma activities at the prefrontal area. Compared to the eyes-open resting state, the delta field power is enhanced at the prefrontal area while the theta, alpha-1, alpha-2 and beta-1 powers are reduced in the respective areas. Greater inter-individual variability in field power can be seen in the eyes-closed than the eyes-open state. In the eyes-closed state, the prefrontal delta field power is correlated with both beta-1 and gamma field powers, while these two high-frequency field powers are mutually correlated at the same area.

This study provides a useful reference point for understanding what the DMN looks like in terms of EEG, and, in particular, the findings can be useful in interpreting the fMRI and EEG studies of what occurs in meditation.

Chen, A. C., Feng, W., Zhao, H., Yin, Y., & Wang, P. (2008). EEG default mode network in the human brain: spectral regional field powers. Neuroimage41(2), 561-574.














Tuesday 18 March 2014

Gamma: unconditional loving-kindness and compassion

Antoine Lutz and others (2004) studied the EEG gamma band activity in long term meditators in contrast to controls new to meditation.  The type of meditation studied was "objectless" loving-kindness and compassion meditation as practiced in the Tibetian Buddhist tradition.  The authors looked at baseline resting state prior to meditation, during meditation, and baseline resting post meditation in the long-term meditators and the controls.  They examined the ratio of fast wave activity (25-42 Hz.) to slow wave activity (4-13 Hz.), absolute gamma, and gamma phase-synchrony measured over long distance electrodes.  They found that for the practitioners compared to the controls the ratio of fast wave to slow wave activity was higher prior to, during, and after meditation in medial frontoparietal electrodes.  Again, for the practitioners compared to the controls, absolute gamma at bilateral parietotemporal and midfrontal electrodes was higher, and the size of phase-synchrony patterns increased for practitioners during meditation.  The authors also found that the extent of training influenced the spatial distribution of gamma phase-synchrony patterns.

The authors conclude that their study provides evidence that meditation practice of the type studied results in increases in the level of gamma activity during meditation and that baseline levels are higher for long-term practitioners before and after meditating.  Their study is consistent with the idea that attention and affective processes, which gamma band activity reflects, can be trained.  Their study demonstrates that this type of objectless meditation has a different profile than concentration meditation characterized by increases in slow alpha or theta during meditation (Shapiro, 1980).





Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., & Davidson, R. J. (2004). Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proceedings of the National Academy of Sciences of the United States of America101(46), 16369-16373.

Shapiro Jr, D. H. (1980). Meditation: Self-regulation strategy and altered state of consciousness. Aldine.

Tuesday 25 February 2014

Gamma and self-reference

The concept of anatta or not-self is central to Buddhism. Meditation is a project designed to loosen attachment to the self.  A number of neuroimaging studies have focused on regions of the brain associated with self-reference (Brewer et al, 2011; Farb et al, 2007; Heatherington, 2006; Kelley et al, 2002; 2009; Qi & Northoff, 2011). Most of these studies used fMRI, but a study by Berkowitz-Ohana and associates (Berkovich-Ohana et al, 2011) used EEG to investigate the relationship of mindfulness meditation to activity related to self-reference.  The authors focused specifically on gamma power over frontal and midline areas that reflect default mode network (DMN) activity.

This study is interesting for a number of reasons. First, the authors differentiated between two types of self-reference (narrative self-reference and experiential self-reference) and the areas of the brain in which they occur. Second, they suggested that gamma power has an entirely different significance for self- reference in different parts of the brain.  Third, because they studied mindfulness meditation practitioners at three different levels of experience, they were able to illuminate the point at which their practices loosened their attachment to self.

The EEG changes associated with the transition from a resting state to a simple time production task were lower gamma power over frontal and midline regions.  This effect was similar in practitioners with three levels of experience and controls who had not previously meditated.  When the three groups of practitioners were compared to matched controls during a resting state, the practitioners exhibited lower frontal gamma activity, mainly right lateralized, thought to be related to narrative self-reference and default mode activity, and higher gamma in the right parietal-occipital region, possibly related to a more experiential focus with increased awareness of internal and external stimuli.  This suggests the practitioners had made a transition from one form of self-reference to another.  Curiously, these changes were found irrespective of expertise level suggesting that these changes occurred in the earlier stages of practice, ranging from 180 to 1430 hours of practice.
 
This study also highlights the risks of associating any given EEG band with meditation.  For years, alpha was the go-to band for meditation states.  More recently, mid-line frontal theta has enjoyed a hay day.  Studies of meditators doing compassion meditation (Lutz et al, 2004) and vipassana meditation (Cahn et al, 2010) indicated increased gamma activation.  But meditation is clearly complex and different bands at different locations have different significance.

Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2012). Mindfulness-induced changes in gamma band activity–implications for the default mode network, self-reference and attention. Clinical Neurophysiology, 123(4), 700-710.
Brewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y. Y., Weber, J., & Kober, H. (2011). Meditation experience is associated with differences in default mode network activity and connectivity. Proceedings of the National Academy of Sciences, 108(50), 20254-20259.
Cahn, B. R., Delorme, A., & Polich, J. (2010). Occipital gamma activation during Vipassana meditation. Cognitive Processing, 11(1), 39-56.
Farb, N. A., Segal, Z. V., Mayberg, H., Bean, J., McKeon, D., Fatima, Z., & Anderson, A. K. (2007). Attending to the present: mindfulness meditation reveals distinct neural modes of self-reference. Social cognitive and affective neuroscience, 2(4), 313-322.
Heatherton, T. F., Wyland, C. L., Macrae, C. N., Demos, K. E., Denny, B. T., & Kelley, W. M. (2006). Medial prefrontal activity differentiates self from close others. Social Cognitive and Affective Neuroscience, 1(1), 18-25.
Kelley, W. M., Macrae, C. N., Wyland, C. L., Caglar, S., Inati, S., & Heatherton, T. F. (2002). Finding the self? An event-related fMRI study. Journal of cognitive neuroscience, 14(5), 785-794.
Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., & Davidson, R. J. (2004). Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proceedings of the National Academy of Sciences of the United States of America, 101(46), 16369-16373.
Trapnell, P. D., & Campbell, J. D. (1999). Private self-consciousness and the five-factor model of personality: distinguishing rumination from reflection. Journal of personality and social psychology, 76(2), 284.
Qin, P., & Northoff, G. (2011). How is our self related to midline regions and the default-mode network?. NeuroImage, 57, 1221-1233.

Monday 17 February 2014

Meditation and neurofeedback

A recent article echoes many of the ideas that I have been discussion on this blog:  Brandmeyer, T., & Delorme, A. (2013). Meditation and neurofeedback. Frontiers in psychology4.  It can be downloaded from this site:  
https://www.scienceopen.com/document_file/a9d8a886-e5b1-4a46-9914-6fa0ef9956eb/PubMedCentral/a9d8a886-e5b1-4a46-9914-6fa0ef9956eb.pdf.

Brandmeyer and Delorme focus on the possibility that "machine assisted programs such as neurofeedback may help individuals develop their meditation practice more rapidly."  They point out that many of the disorders that neurofeedback has been used to treat also benefit from meditation training.  Neurofeedback and meditation are both methods of training mental states.  Both techniques facilitate and improve concentration and emotional regulation.  The focus of training in most cognitive enhancement neurofeedback protocols share similarities with the EEG frequency bands that show the most significant change during the early stages of meditation practice.

They assume that reliable and reproducible EEG signatures associated with specific meditation practices can be identified and that it might be possible to train users to make their EEG brainwaves similar to the brainwaves of expert practitioners.  While these assumption appear plausible, the diversity of meditation techniques and the complexity of brain activity during meditation may prove challenging.  If these challenges could be overcome, the objective would not be to replace meditation practice but provide feedback to practitioners on how well they are doing.

Another type of neurofeedback program could help detect mind-wandering, setting off an alarm to users when their minds start to wander.  The authors suggest that the feedback should be subtle so as not to disturb the subjects' meditation.  Once again this would not replace meditation practice, but rather "facilitate and support it in its early to middle states of practice."

They conclude with suggestions that neurofeedback could be especially effective for beginners who are struggling with meditation practice.  They point to smartphones and apps and social networking as opening up possibilities for the widespread adoption of neurofeedback as an aid to meditation.

Many of the points made by the authors have been made in previous posts on this blog.  The biggest challenge, as they acknowledge, is identifying EEG signatures for meditation.  In my own experience this is highly problematic.  For example, slow alpha or high end theta is seen in experienced practitioners, but these slow waves are also associated with mind-wandering and drowsiness.  There is some suggestion that combinations of slow waves and very fast waves in the gamma range may characterize some forms of meditation, but due to problems with artifact and the limited capabilities of low cost equipment, it may not be possible to train these combinations.  There is a risk that, in the absence of very sophisticated and in-depth research on EEG signatures, training using this approach may do little good or even some harm.

The BrainBot app promises to provide warnings of mind-wandering.  The developers seem to be on the right track, but how effective the app is remains to be seen.  As I have described in previous posts, I have experimented with a similar approach.  However, my experiences don't really count as research.

Brandmeyer and Delorme have identified the issues in their article and opened up to a wider audience what promises to be a fruitful discussion.


Monday 10 February 2014