To help with electrode positioning we have updated a 3d model head with the 10/20 electrode placements. Click the position name e.g. F3, and it will appear on the head. You will still need to translate this to your own head but we hope it helps. (Move the model around with your mouse.)
We are also now selling a version of Go Flow Pro that includes our 1020 position cap instead of the headband. It includes everything you need to get started.
Before you strap a tDCS device on your head in order to learn something new, have you studied Spaced Repetition or Interleaving? Have you mastered software like Anki? Or language learning techniques? As the paper quoted below makes so clear, tDCS adds another very complex set of variables to the notion of accelerated learning. While it may be practical for the military to be pursuing optimized tDCS-enhanced training methods for very specific skill sets, I do think we’re years away from practical DIY learning protocols involving tDCS.
Although tDCS shows promise as a training method, important questions remain unanswered. To maximize effects on training, optimal stimulation schedules i.e., every day, twice a week, etc. need to be determined. Juvina, Jastrzembski, and McKinley 2013 used a computational modeling approach to predict the optimal tDCS scheduling, but empirical validation is required. Second, at what point in training should tDCS be applied? One study showed that tDCS was more beneficial in the early phases of training Bullard et al., 2011, whereas another showed benefits at all stages McKinley et al., 2013. Importantly, these studies involved different learning tasks, so it is possible that the optimal time point for tDCS efficacy is task dependent. Likewise, different electrode placements may be optimal for different stages of learning. Third, how long is the learned information retained, and does this change with repeated doses of tDCS? Initial evidence suggests that tDCS-induced improvements in learning are retained for at least 24 hr Falcone et al., 2012; however, there is little evidence of exactly how long the new knowledge is retained. Finally, the “gold standard” of any training technique is not only whether it is effective in accelerating learning on a particular task but whether its effects transfer to others tasks within the same cognitive domain Dahlin, Neely, Larsson, Backman, & Nyberg, 2008; Strenziok et al., 2014. TDCS will ultimately need to be held to this high standard
There’s just so much going on in tDCS right now that it’s hard to keep track. Coupled with the fact that I don’t have a Uni account that lets me access new paper (although I’ve had some help there from time to time). One of my objectives is to understand what’s going on well enough to present you with an accurate overview of what’s new. But lately research papers are coming so quickly that it’s been overwhelming.
But here’s my take-away from Marom’s lecture: Electrode placement does not necessarily correlate with current flow! At least not the way one might assume. Watch the videos to get a clear picture.
In Canada, it is not considered a medical device when used in a cognitiveneuroscience application.
I need to do a deep dive with an expert at some point, but for now, let’s operate under the assumption that it’s much easier to get a tDCS device in Canada or Europe. According to the Mind Alive ordering page, there does not seem to be anything special or awkward about ordering one of their devices. (I have no affiliation with Mind Alive).
Here Dave gives an overview of tDCS, how it’s theorized to work, and includes a set of tDCS montages for various purposes. Excellent!
The Soterix website and all that shiny new technology!
They make reference to ‘HD-tDCS‘ and diagram multi-electrode application for fine-tuning current distribution. Download their device manual (pdf).
Prof. Bikson’s lab has a YouTube page. They seem to have constructed a computer model for determining where current flows according to how electrodes are placed.
Prof. Bikson’s group uses a range of research and engineering design tools including cellular and animal studies, computer simulations, imaging, and clinical evaluation. Prof. Bikson’s research has recieved support from funding agencies including NIH (NINDS,NCI,NIGMS), The Andy Grove Foundation, The Wallace H. Coulter Foundation, and the Howard Hughes Medical Institute. . Prof. Bikson is actively involved in biomedical education including outreach to underserved groups.