BrainBot (http://www.brainbot.me/) is
a “soon-to-be-released” app that uses the NeuroSky platform to provide feedback
to users on their brain state. This
sounds like so many other meditations apps out there, but BrainBot is decidedly
different. For one, the developers went
to the trouble of actually researching meditators. They went trekking through the Himalayas and
plugged in meditating monks to the NeuroSky headgear to see what they actually
did while mediating. They also thought
about what would be the most useful feedback to a meditator. Giving positive feedback (“you’re doing great”)
would only interfere with meditating.
Giving a reminder or warning (“oops, wandering” or “notice what is
happening, and return to the breath”) actually could be helpful, particularly
considering the distinct possibility that the warning would come much faster
than the meditator`s unaided awareness of the arising of distraction. This is very similar to the approach that I developed
and wrote about a year ago in my post, “Automating along the road to
mindfulness.”
Rohan Dixit,
the neuroimaging guy on the BrainBot team, wrote an article (Dixit, 2012) that provides more detailed information about their methodology. Their initial research involved comparing
meditation and baseline epochs from a cohort of 31 long-term mediators from
Tibetan and Indian monastic backgrounds.
The question they asked was whether it was possible to distinguish
between the baseline and mediation state using the power of multiple frequency bands
simultaneously. Using a single-sensor at
the right prefrontal area, as afforded by the NeuroSky headgear, mind-wandering
during a resting period was compared to 15 minutes “during which
they were asked to perform whatever type of meditation was most familiar.” Using
a classification system based on a support vector machine approach, they found
that it was possible to distinguish between the baseline and meditation state
at a rate over 75% and over 90% in the “best cases.”
The approach is commendable, but I will register a few quibbles. The meditation styles were clearly heterogeneous, which suggests that the meditators were not all doing the same thing. However, the model of meditation (return to the breath when aware of wandering) that the BrainBot uses is that of focused awareness as opposed to open monitoring (awareness of whatever shows up). In the Ted talk given by Rohan (https://www.facebook.com/BrainBot.me/posts/162738513876839), the BrainBot emits tones continuously, which to me would be distracting.
Dixit, R. (2012, March). Meditation Training and Neurofeedback Using a Personal EEG Device. In 2012 AAAI Spring Symposium Series.