Maintaining vs. enhancing motor sequence memories: Respective roles of striatal and hippocampal systems

Albouy, Geneviève; Fogel, Stuart; King, Bradley R.; Laventure, Samuel; Benali, Habib; Karni, Avi; Carrier, Julie; Robertson, Edwin M.; Doyon, Julien

doi:10.1016/j.neuroimage.2014.12.049

Cited by 139 publications

(181 citation statements)

References 66 publications

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“…Neuroimaging studies show that the hippocampus is engaged during training experience that can lead to skill. Furthermore, the level of hippocampal engagement and its subsequent disengagement may determine whether an individual will be a good learner and how well skill will be consolidated (Albouy et al, 2015). Thus, there is evidence that cortico-striatal and hippocampal-dependent memory systems do not act independently, but rather interact during consolidation (Debas et al, 2014;Coynel et al, 2010;Albouy et al, 2015).…”

Section: Consolidation and Transformation In ''Non-declarative'' Memorymentioning

confidence: 99%

“…Furthermore, the level of hippocampal engagement and its subsequent disengagement may determine whether an individual will be a good learner and how well skill will be consolidated (Albouy et al, 2015). Thus, there is evidence that cortico-striatal and hippocampal-dependent memory systems do not act independently, but rather interact during consolidation (Debas et al, 2014;Coynel et al, 2010;Albouy et al, 2015). The reverse also holds true: brain circuits that are traditionally associated with non-declarative tasks participate and predict subsequent memory in declarative tasks (Ben-Yakov and Dudai 2011;Reber et al, 2012).…”

Section: Consolidation and Transformation In ''Non-declarative'' Memorymentioning

confidence: 99%

“…These changes occurred in multiple brain areas, reflected in changes in activity and in connectivity patterns in the brain networks underlying task performance at a later re-test. One important focus of interest are the changes occurring during consolidation in cortico-striatal networks, specifically redistribution of new experience-dependent information between sub-networks (Lehé ricy et al, 2005;Albouy et al, 2015). A second focus is the motor cortex itself.…”

Section: Consolidation and Transformation In ''Non-declarative'' Memorymentioning

confidence: 99%

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The Consolidation and Transformation of Memory

Dudai

Karni

Born

2015

Neuron

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508

472

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Memory consolidation refers to the transformation over time of experience-dependent internal representations and their neurobiological underpinnings. The process is assumed to be embodied in synaptic and cellular modifications at brain circuits in which the memory is initially encoded and to proceed by recurrent reactivations, both during wakefulness and during sleep, culminating in the distribution of information to additional locales and integration of new information into existing knowledge. We present snapshots of our current knowledge and gaps in knowledge concerning the progress of consolidation over time and the cognitive architecture that supports it and shapes our long-term memories.

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Section: Consolidation and Transformation In ''Non-declarative'' Memorymentioning

confidence: 99%

Section: Consolidation and Transformation In ''Non-declarative'' Memorymentioning

confidence: 99%

Section: Consolidation and Transformation In ''Non-declarative'' Memorymentioning

confidence: 99%

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The Consolidation and Transformation of Memory

Dudai

Karni

Born

2015

Neuron

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508

472

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“…Behaviorally, consolidation refers to the maintenance or enhancement of performance over an interval including no further practice - off-line, between practice sessions improvement (delayed, “offline” gains); and the increase in stability of a novel memory trace, making it no longer susceptible to interference (Brashers-Krug et al, 1996; Walker, 2005; Dudai, 2012; Robertson, 2012; Albouy et al, 2015). Considerable evidence suggests that sleep favors the development of the first behavioral determinant and consequently facilitates motor sequence memory retention as compared to wakefulness (Walker et al, 2002; Robertson et al, 2004; Nettersheim et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Offline Optimization of the Relative Timing of Movements in a Sequence Is Blocked by Retroactive Behavioral Interference

Friedman

Korman

2016

Front. Hum. Neurosci.

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Acquisition of motor skills often involves the concatenation of single movements into sequences. Along the course of learning, sequential performance becomes progressively faster and smoother, presumably by optimization of both motor planning and motor execution. Following its encoding during training, “how-to” memory undergoes consolidation, reflecting transformations in performance and its neurobiological underpinnings over time. This offline post-training memory process is characterized by two phenomena: reduced sensitivity to interference and the emergence of delayed, typically overnight, gains in performance. Here, using a training protocol that effectively induces motor sequence memory consolidation, we tested temporal and kinematic parameters of performance within (online) and between (offline) sessions, and their sensitivity to retroactive interference. One group learned a given finger-to-thumb opposition sequence (FOS), and showed robust delayed (consolidation) gains in the number of correct sequences performed at 24 h. A second group learned an additional (interference) FOS shortly after the first and did not show delayed gains. Reduction of touch times and inter-movement intervals significantly contributed to the overall offline improvement of performance overnight. However, only the offline inter-movement interval shortening was selectively blocked by the interference experience. Velocity and amplitude, comprising movement time, also significantly changed across the consolidation period but were interference –insensitive. Moreover, they paradoxically canceled out each other. Current results suggest that shifts in the representation of the trained sequence are subserved by multiple processes: from distinct changes in kinematic characteristics of individual finger movements to high-level, temporal reorganization of the movements as a unit. Each of these processes has a distinct time course and a specific susceptibility to retroactive interference. This multiple-component view may bridge the gap in understanding the link between the behavioral changes, which define online and offline learning, and the biological mechanisms that support those changes.

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“…Participants were distributed into four groups, which randomly underwent continuous theta-burst stimulation of the left (LcTBSCB group, N=16) or right (RcTBSCB group, N=19) cerebellar hemisphere, or intermittent theta-burst stimulation of the left (LiTBSCB group, N=16) or right (RiTBSCB group, N=22) cerebellum. Results were compared with those of a control group of 55 right-handed, healthy volunteers (from a previous study, see Albouy et al 2015), who executed the exact same motor sequence learning task under identical fMRI scanning conditions, but without prior stimulation of the cerebellum. Data from nine subjects were excluded from the analyses for the following reasons: three participants were discarded from the RiTBSCB group due to technical difficulties (i.e.…”

Section: Subjectsmentioning

confidence: 99%

Taking the brakes off the learning curve

Gheysen

Lasne

Pélégrini‐Issac

et al. 2016

Human Brain Mapping

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Motor learning is characterized by patterns of cerebello-striato-cortical activations shifting in time, yet the early dynamic and function of these activations remains unclear. Five groups of subjects underwent either continuous or intermittent theta-burst stimulation of one cerebellar hemisphere, or no stimulation just before learning a new motor sequence during fMRI scanning. We identified 3 phases during initial learning: one rapid, one slow, and one quasi-asymptotic performance phase.These phases were not changed by left cerebellar stimulation. Right cerebellar inhibition, however, accelerated learning and enhanced brain activation in critical motor learning-related areas during the first phase, continuing with reduced brain activation but high-performance in late phase. Right cerebellar excitation did not affect the early learning process, but slowed learning significantly in late phase, along with increased brain activation. We conclude that the right cerebellum is a key factor coordinating other neuronal loops in the early acquisition of an explicit motor sequential skill.

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Maintaining vs. enhancing motor sequence memories: Respective roles of striatal and hippocampal systems

Cited by 139 publications

References 66 publications

The Consolidation and Transformation of Memory

The Consolidation and Transformation of Memory

Offline Optimization of the Relative Timing of Movements in a Sequence Is Blocked by Retroactive Behavioral Interference

Taking the brakes off the learning curve

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