» Articles » PMID: 21048140

A Shared Resource Between Declarative Memory and Motor Memory

Overview
Journal J Neurosci
Specialty Neurology
Date 2010 Nov 5
PMID 21048140
Citations 70
Authors
Affiliations
Soon will be listed here.
Abstract

The neural systems that support motor adaptation in humans are thought to be distinct from those that support the declarative system. Yet, during motor adaptation changes in motor commands are supported by a fast adaptive process that has important properties (rapid learning, fast decay) that are usually associated with the declarative system. The fast process can be contrasted to a slow adaptive process that also supports motor memory, but learns gradually and shows resistance to forgetting. Here we show that after people stop performing a motor task, the fast motor memory can be disrupted by a task that engages declarative memory, but the slow motor memory is immune from this interference. Furthermore, we find that the fast/declarative component plays a major role in the consolidation of the slow motor memory. Because of the competitive nature of declarative and nondeclarative memory during consolidation, impairment of the fast/declarative component leads to improvements in the slow/nondeclarative component. Therefore, the fast process that supports formation of motor memory is not only neurally distinct from the slow process, but it shares critical resources with the declarative memory system.

Citing Articles

The control of movement gradually transitions from feedback control to feedforward adaptation throughout childhood.

Malone L, Hill N, Tripp H, Zipunnikov V, Wolpert D, Bastian A NPJ Sci Learn. 2025; 10(1):13.

PMID: 40069149 PMC: 11897242. DOI: 10.1038/s41539-025-00304-7.


Exploring the Impact of Declarative Learning on the Consolidation of Acquired Motor Skills Under Valence Feedback.

Farrokhi A, Habibi M, Daliri M Hum Brain Mapp. 2025; 46(2):e70105.

PMID: 39835585 PMC: 11747997. DOI: 10.1002/hbm.70105.


Early-Stage Alzheimer's Disease Affects Fast But Not Slow Adaptive Processes in Motor Learning.

Sutter K, Oostwoud Wijdenes L, van Beers R, Claassen J, Kessels R, Medendorp W eNeuro. 2024; 11(6).

PMID: 38821873 PMC: 11209650. DOI: 10.1523/ENEURO.0108-24.2024.


Reinforcement Learning during Locomotion.

Wood J, Kim H, Morton S eNeuro. 2024; 11(3).

PMID: 38438263 PMC: 10946027. DOI: 10.1523/ENEURO.0383-23.2024.


Comparison of online, offline, and hybrid hypotheses of motor sequence learning using a quantitative model that incorporate reactive inhibition.

Gupta M, Rickard T Sci Rep. 2024; 14(1):4661.

PMID: 38409296 PMC: 11269601. DOI: 10.1038/s41598-024-52726-9.


References
1.
Moscovitch C, Kapur S, Kohler S, Houle S . Distinct neural correlates of visual long-term memory for spatial location and object identity: a positron emission tomography study in humans. Proc Natl Acad Sci U S A. 1995; 92(9):3721-5. PMC: 42033. DOI: 10.1073/pnas.92.9.3721. View

2.
Fusi S, Asaad W, Miller E, Wang X . A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron. 2007; 54(2):319-33. PMC: 2833020. DOI: 10.1016/j.neuron.2007.03.017. View

3.
Brown R, Robertson E . Inducing motor skill improvements with a declarative task. Nat Neurosci. 2007; 10(2):148-9. PMC: 1831714. DOI: 10.1038/nn1836. View

4.
Brown R, Robertson E . Off-line processing: reciprocal interactions between declarative and procedural memories. J Neurosci. 2007; 27(39):10468-75. PMC: 6673170. DOI: 10.1523/JNEUROSCI.2799-07.2007. View

5.
Rabe K, Livne O, Gizewski E, Aurich V, Beck A, Timmann D . Adaptation to visuomotor rotation and force field perturbation is correlated to different brain areas in patients with cerebellar degeneration. J Neurophysiol. 2009; 101(4):1961-71. DOI: 10.1152/jn.91069.2008. View