Closed-loop training of attention with real-time brain imaging.

ABSTRACT: Lapses of attention can have negative consequences, including accidents and lost productivity. Here we used closed-loop neurofeedback to improve sustained attention abilities and reduce the frequency of lapses. During a sustained attention task, the focus of attention was monitored in real time with multivariate pattern analysis of whole-brain neuroimaging data. When indicators of an attentional lapse were detected in the brain, we gave human participants feedback by making the task more difficult. Behavioral performance improved after one training session, relative to control participants who received feedback from other participants' brains. This improvement was largest when feedback carried information from a frontoparietal attention network. A neural consequence of training was that th

SUBMITTER: deBettencourt MT 

PROVIDER: S-EPMC4503600 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature