Time-Resolved Decoding of Two Processing Chains during Dual-Task Interference

Highlights

• The brain activity was recorded while subjects performed a dual task

• Multivariate pattern analyses were applied to decompose the chains brain processes

• Chains of brain processes were initially parallel and then mutually exclusive

• A new theoretical framework for multitasking is proposed

Summary

The human brain exhibits fundamental limitations in multitasking. When subjects engage in a primary task, their ability to respond to a second stimulus is degraded. Two competing models of multitasking have been proposed: either cognitive resources are shared between tasks, or they are allocated to each task serially. Using a novel combination of magneto-encephalography and multivariate pattern analyses, we obtained a precise spatio-temporal decomposition of the brain processes at work during multitasking. We discovered that each task relies on a sequence of brain processes. These sequences can operate in parallel for several hundred milliseconds but beyond ∼500 ms, they repel each other: processes evoked by the first task are shortened, while processes of the second task are either lengthened or postponed. These results contradict the resource-sharing model and further demonstrate that the serial model is incomplete. We therefore propose a new theoretical framework for the computational architecture underlying multitasking.