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The retrieval of previously learned motor memories is facilitated by the reinstatement of default mode network manifold structures.

Ali Rezaei, Corson N. Areshenkoff, Daniel J. Gale, Emily R Oby, Jonathan Smallwood, J Randall Flanagan, Jeffrey D Wammes, Jason P. Gallivan

PLoS Biology March 10, 2026 DOI: 10.1371/journal.pbio.3003684 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Functional MRI study with a two-day sensorimotor adaptation paradigm Peer reviewed
Population Human participants
Duration Two-day sensorimotor adaptation paradigm
Topics Default mode network
Keywords Nerve net Humans Magnetic resonance imaging Brain mapping Learning Memory Mental recall Female Young adult
Key points Savings in motor learning was associated with reinstatement of a large-scale cortical manifold structure formed during initial learning, and this reinstatement was localized to default mode network regions rather than sensorimotor systems. The authors argue that motor savings arises from re-expression of DMN activity patterns linked to initial learning, suggesting a common mechanism for flexible memory recall across behavioral domains.

Abstract

Motor learning induces alterations in neural activity that can persist long after the effects of such learning have faded. These persistent neural alterations are thought to manifest behaviorally as "savings," or faster relearning, via access to a latent motor memory. How the human brain forms and retrieves these latent memories, and the specific neural systems involved, remains unresolved. Here, using human functional MRI and a two-day sensorimotor adaptation paradigm, we show that savings are associated with the reinstatement of a large-scale cortical manifold structure formed during initial learning. Notably, this neural reinstatement effect was not observed across sensorimotor systems but was localized to regions of the default mode network (DMN). Moreover, the specific dynamics of DMN activity were linked to inter-subject differences in patterns of learning and relearning across days. These results suggest that motor savings arises from the re-expression of DMN activity patterns associated with initial learning, establishing a key role for this network in motor memory formation and retrieval. This finding, paralleling reinstatement principles from other memory domains (episodic memory, fear conditioning) and anticipated by recent computational models of motor learning, suggests a common mechanism for the flexible recall and reuse of stored memories across diverse behavioral contexts.

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