Focus on the breath: Brain decoding reveals internal states of attention during meditation

H.Y. Weng, J.A. Lewis-Peacock, F.M. Hecht, M.R. Uncapher, D.A. Ziegler, N.A.S. Farb, V. Goldman, S. Skinner, L.G. Duncan, M.T. Chao, A. Gazzaley

Thumb 65bb0659497b85bae0759dc2a6b4b5db 400x400
Dec 04, 2018

Received Date: 19th November 18

Evidence suggests meditation may improve health and well-being. However, understanding how meditation practices impact therapeutic outcomes is poorly characterized, in part because existing measures cannot track internal attentional states during meditation. To address this, we applied machine learning to track fMRI brain activity patterns associated with distinct mental states during meditation. Individualized brain patterns were distinguished for different forms of internal attention (breath attention, mind wandering, and self-referential processing) during a directed internal attention task. Next, these brain patterns were used to track the internal focus of attention, from moment to moment, for meditators and matched controls during breath-focused meditation. We observed that while all participants spent the majority of time attending to breath (vs. mind wandering or self-referential processing), meditators with more lifetime practice demonstrated greater overall breath attention. This new framework holds promise for elucidating therapeutic mechanisms of meditation and furthering precision medicine approaches to health.

Read in full at bioRxiv.

This is an abstract of a preprint hosted on an independent third party site. It has not been peer reviewed but is currently under consideration at Nature Communications.

Medium 65bb0659497b85bae0759dc2a6b4b5db 400x400

Nature Communications

Nature Research, Springer Nature