1
|
Dyck S, Klaes C. Training-related changes in neural beta oscillations associated with implicit and explicit motor sequence learning. Sci Rep 2024; 14:6781. [PMID: 38514711 PMCID: PMC10958048 DOI: 10.1038/s41598-024-57285-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 03/16/2024] [Indexed: 03/23/2024] Open
Abstract
Many motor actions we perform have a sequential nature while learning a motor sequence involves both implicit and explicit processes. In this work, we developed a task design where participants concurrently learn an implicit and an explicit motor sequence across five training sessions, with EEG recordings at sessions 1 and 5. This intra-subject approach allowed us to study training-induced behavioral and neural changes specific to the explicit and implicit components. Based on previous reports of beta power modulations in sensorimotor networks related to sequence learning, we focused our analysis on beta oscillations at motor-cortical sites. On a behavioral level, substantial performance gains were evident early in learning in the explicit condition, plus slower performance gains across training sessions in both explicit and implicit sequence learning. Consistent with the behavioral trends, we observed a training-related increase in beta power in both sequence learning conditions, while the explicit condition displayed stronger beta power suppression during early learning. The initially stronger beta suppression and subsequent increase in beta power specific to the explicit component, correlated with enhanced behavioral performance, possibly reflecting higher cortical excitability. Our study suggests an involvement of motor-cortical beta oscillations in the explicit component of motor sequence learning.
Collapse
Affiliation(s)
- Susanne Dyck
- Department of Neurotechnology, Medical Faculty, Ruhr-University Bochum, Universitaetsstrasse 150, 44801, Bochum, Germany.
- International Graduate School of Neuroscience, Ruhr-University Bochum, Universitaetsstrasse 150, 44801, Bochum, Germany.
| | - Christian Klaes
- Department of Neurotechnology, Medical Faculty, Ruhr-University Bochum, Universitaetsstrasse 150, 44801, Bochum, Germany.
- International Graduate School of Neuroscience, Ruhr-University Bochum, Universitaetsstrasse 150, 44801, Bochum, Germany.
- Neurosurgery, University hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany.
| |
Collapse
|
2
|
Bernardo M, Blandin Y, Casiez G, Scotto CR. Reliability of on-line visual feedback influences learning of continuous motor task of healthy young adults. Front Psychol 2023; 14:1234010. [PMID: 37901071 PMCID: PMC10600441 DOI: 10.3389/fpsyg.2023.1234010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 09/20/2023] [Indexed: 10/31/2023] Open
Abstract
A continuous task was used to determine how the reliability of on-line visual feedback during acquisition impacts motor learning. Participants performed a right hand pointing task of a repeated sequence with a visual cursor that was either reliable, moderately unreliable, or largely unreliable. Delayed retention tests were administered 24 h later, as well as intermanual transfer tests (performed with the left hand). A visuospatial transfer test was performed with the same targets' sequence (same visuospatial configuration) while a motor transfer test was performed with the visual mirror of the targets' sequence (same motor patterns). Results showed that pointing was slower and long-term learning disrupted in the largely unreliable visual cursor condition, compared with the reliable and moderately unreliable conditions. Also, analysis of transfers revealed classically better performance on visuospatial transfer than on motor transfer for the reliable condition. However, here we first show that such difference disappears when the cursor was moderately or largely unreliable. Interestingly, these results indicated a difference in the type of sequence coding, depending on the reliability of the on-line visual feedback. This recourse to mixed coding opens up interesting perspectives, as it is known to promote better learning of motor sequences.
Collapse
Affiliation(s)
- Marie Bernardo
- Centre de Recherche sur la Cognition et l’Apprentissage, Université de Poitiers, Université François Rabelais de Tours, Poitiers, France
| | - Yannick Blandin
- Centre de Recherche sur la Cognition et l’Apprentissage, Université de Poitiers, Université François Rabelais de Tours, Poitiers, France
| | - Géry Casiez
- Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, Lille, France
- Institut Universitaire de France (IUF), Paris, France
| | - Cécile R. Scotto
- Centre de Recherche sur la Cognition et l’Apprentissage, Université de Poitiers, Université François Rabelais de Tours, Poitiers, France
| |
Collapse
|
3
|
Badets A, Jeunet C, Dellu-Hagedorn F, Ployart M, Chanraud S, Boutin A. Conscious awareness of others' actions during observational learning does not benefit motor skill performance. Conscious Cogn 2023; 113:103553. [PMID: 37454403 DOI: 10.1016/j.concog.2023.103553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 06/26/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023]
Abstract
The conscious awareness of motor success during motor learning has recently been revealed as a learning factor. In these studies, participants had to learn a motor sequence and to detect when they assumed the execution had reached a maximal fluidity. The consciousness groups showed better motor performance during a delayed post-training test than the non-consciousness control groups. Based on the "similar mechanism" hypothesis between observational and physical practice, we tested this beneficial effect of the conscious awareness of action in an observational learning context. In the present study, two groups learned a motor sequence task by observing a videotaped human model performing the task. However, only the consciousness group had to detect the maximal fluidity of the learning human model during observational practice. Unpredictably, no difference was detected between groups during the post-training test. However, the consciousness group outperformed the non-consciousness control group for tests that assessed the motor knowledges.
Collapse
Affiliation(s)
- Arnaud Badets
- Univ. Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France.
| | - Camille Jeunet
- Univ. Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France
| | | | - Mélissa Ployart
- Univ. Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France
| | - Sandra Chanraud
- Univ. Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France; Section of Life and Earth Sciences, Ecole Pratique des Hautes Etudes, PSL Research University, 75014 Paris, France
| | - Arnaud Boutin
- Université Paris-Saclay, CIAMS, 91405 Orsay, France; Université d'Orléans, CIAMS, 45067, Orléans, France
| |
Collapse
|
4
|
Calderon CB, Verguts T, Frank MJ. Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. PLoS Comput Biol 2022; 18:e1009854. [PMID: 35108283 PMCID: PMC8843237 DOI: 10.1371/journal.pcbi.1009854] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 02/14/2022] [Accepted: 01/21/2022] [Indexed: 11/18/2022] Open
Abstract
Adaptive sequential behavior is a hallmark of human cognition. In particular, humans can learn to produce precise spatiotemporal sequences given a certain context. For instance, musicians can not only reproduce learned action sequences in a context-dependent manner, they can also quickly and flexibly reapply them in any desired tempo or rhythm without overwriting previous learning. Existing neural network models fail to account for these properties. We argue that this limitation emerges from the fact that sequence information (i.e., the position of the action) and timing (i.e., the moment of response execution) are typically stored in the same neural network weights. Here, we augment a biologically plausible recurrent neural network of cortical dynamics to include a basal ganglia-thalamic module which uses reinforcement learning to dynamically modulate action. This “associative cluster-dependent chain” (ACDC) model modularly stores sequence and timing information in distinct loci of the network. This feature increases computational power and allows ACDC to display a wide range of temporal properties (e.g., multiple sequences, temporal shifting, rescaling, and compositionality), while still accounting for several behavioral and neurophysiological empirical observations. Finally, we apply this ACDC network to show how it can learn the famous “Thunderstruck” song intro and then flexibly play it in a “bossa nova” rhythm without further training. How do humans flexibly adapt action sequences? For instance, musicians can learn a song and quickly speed up or slow down the tempo, or even play the song following a completely different rhythm (e.g., a rock song using a bossa nova rhythm). In this work, we build a biologically plausible network of cortico-basal ganglia interactions that explains how this temporal flexibility may emerge in the brain. Crucially, our model factorizes sequence order and action timing, respectively represented in cortical and basal ganglia dynamics. This factorization allows full temporal flexibility, i.e. the timing of a learned action sequence can be recomposed without interfering with the order of the sequence. As such, our model is capable of learning asynchronous action sequences, and flexibly shift, rescale, and recompose them, while accounting for biological data.
Collapse
Affiliation(s)
- Cristian Buc Calderon
- Department of Cognitive, Linguistic & Psychological Sciences, Brown University, Providence, Rhode Island, United States of America
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
- Carney Institute for Brain Science, Brown University, Providence, Rhode Island, United States of America
- * E-mail:
| | - Tom Verguts
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Michael J. Frank
- Department of Cognitive, Linguistic & Psychological Sciences, Brown University, Providence, Rhode Island, United States of America
- Carney Institute for Brain Science, Brown University, Providence, Rhode Island, United States of America
| |
Collapse
|
5
|
Fitzroy AB, Kainec KA, Seo J, Spencer RMC. Encoding and consolidation of motor sequence learning in young and older adults. Neurobiol Learn Mem 2021; 185:107508. [PMID: 34450244 DOI: 10.1016/j.nlm.2021.107508] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 07/30/2021] [Accepted: 08/20/2021] [Indexed: 11/24/2022]
Abstract
Sleep benefits motor memory consolidation in young adults, but this benefit is reduced in older adults. Here we sought to understand whether differences in the neural bases of encoding between young and older adults contribute to aging-related differences in sleep-dependent consolidation of an explicit variant of the serial reaction time task (SRTT). Seventeen young and 18 older adults completed two sessions (nap, wake) one week apart. In the MRI, participants learned the SRTT. Following an afternoon interval either awake or with a nap (recorded with high-density polysomnography), performance on the SRTT was reassessed in the MRI. Imaging and behavioral results from SRTT performance showed clear sleep-dependent consolidation of motor sequence learning in older adults after a daytime nap, compared to an equal interval awake. Young adults, however, showed brain activity and behavior during encoding consistent with high SRTT performance prior to the sleep interval, and did not show further sleep-dependent performance improvements. Young adults did show reduced cortical activity following sleep, suggesting potential systems-level consolidation related to automatization. Sleep physiology data showed that sigma activity topography was affected by hippocampal and cortical activation prior to the nap in both age groups, and suggested a role of theta activity in sleep-dependent automatization in young adults. These results suggest that previously observed aging-related sleep-dependent consolidation deficits may be driven by aging-related deficiencies in fast learning processes. Here we demonstrate that when sufficient encoding strength is reached with additional training, older adults demonstrate intact sleep-dependent consolidation of motor sequence learning.
Collapse
Affiliation(s)
- Ahren B Fitzroy
- Neuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States.
| | - Kyle A Kainec
- Neuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States.
| | - Jeehye Seo
- Neuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States.
| | - Rebecca M C Spencer
- Neuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States; Institute for Applied Life Sciences, University of Massachusetts Amherst, United States.
| |
Collapse
|
6
|
Russo C, Veronelli L, Casati C, Monti A, Perucca L, Ferraro F, Corbo M, Vallar G, Bolognini N. Explicit motor sequence learning after stroke: a neuropsychological study. Exp Brain Res 2021; 239:2303-2316. [PMID: 34091696 PMCID: PMC8282572 DOI: 10.1007/s00221-021-06141-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 05/23/2021] [Indexed: 11/30/2022]
Abstract
Motor learning interacts with and shapes experience-dependent cerebral plasticity. In stroke patients with paresis of the upper limb, motor recovery was proposed to reflect a process of re-learning the lost/impaired skill, which interacts with rehabilitation. However, to what extent stroke patients with hemiparesis may retain the ability of learning with their affected limb remains an unsolved issue, that was addressed by this study. Nineteen patients, with a cerebrovascular lesion affecting the right or the left hemisphere, underwent an explicit motor learning task (finger tapping task, FTT), which was performed with the paretic hand. Eighteen age-matched healthy participants served as controls. Motor performance was assessed during the learning phase (i.e., online learning), as well as immediately at the end of practice, and after 90 min and 24 h (i.e., retention). Results show that overall, as compared to the control group, stroke patients, regardless of the side (left/right) of the hemispheric lesion, do not show a reliable practice-dependent improvement; consequently, no retention could be detected in the long-term (after 90 min and 24 h). The motor learning impairment was associated with subcortical damage, predominantly affecting the basal ganglia; conversely, it was not associated with age, time elapsed from stroke, severity of upper-limb motor and sensory deficits, and the general neurological condition. This evidence expands our understanding regarding the potential of post-stroke motor recovery through motor practice, suggesting a potential key role of basal ganglia, not only in implicit motor learning as previously pointed out, but also in explicit finger tapping motor tasks.
Collapse
Affiliation(s)
- Cristina Russo
- Department of Psychology and Milan Center for Neuroscience-NeuroMi, University of Milano-Bicocca, Milan, Italy.
| | - Laura Veronelli
- Department of Neurorehabilitation Sciences, Casa di Cura Policlinico, Milan, Italy
| | - Carlotta Casati
- Laboratory of Neuropsychology, IRCCS Istituto Auxologico Italiano, Milan, Italy.,Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Alessia Monti
- Department of Neurorehabilitation Sciences, Casa di Cura Policlinico, Milan, Italy
| | - Laura Perucca
- Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milan, Italy.,Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy
| | - Francesco Ferraro
- Riabilitazione Specialistica Neuromotoria - Dipartimento di Neuroscienze, ASST "Carlo Poma" di Mantova - Presidio di Riabilitazione Multifunzionale di Bozzolo, Mantua, Italy
| | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa di Cura Policlinico, Milan, Italy
| | - Giuseppe Vallar
- Department of Psychology and Milan Center for Neuroscience-NeuroMi, University of Milano-Bicocca, Milan, Italy.,Laboratory of Neuropsychology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Nadia Bolognini
- Department of Psychology and Milan Center for Neuroscience-NeuroMi, University of Milano-Bicocca, Milan, Italy.,Laboratory of Neuropsychology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| |
Collapse
|
7
|
Gabitov E, Lungu O, Albouy G, Doyon J. Weaker Inter-hemispheric and Local Functional Connectivity of the Somatomotor Cortex During a Motor Skill Acquisition Is Associated With Better Learning. Front Neurol 2019; 10:1242. [PMID: 31827459 PMCID: PMC6890719 DOI: 10.3389/fneur.2019.01242] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Accepted: 11/07/2019] [Indexed: 12/20/2022] Open
Abstract
Recently, an increasing interest in investigating interactions between brain regions using functional connectivity (FC) methods has shifted the initial focus of cognitive neuroimaging research from localizing functional circuits based on task activation to mapping brain networks based on intrinsic FC dynamics. Leveraging the advantages of the latter approach, it has been shown that despite primarily invariant intrinsic organization of the large-scale functional networks, interactions between and within these networks significantly differ between various behavioral and cognitive states. These differences presumably indicate transient reconfiguration of functional connections-an instantaneous process that flexibly mediates and calibrates human behavior according to momentary demands of the environment. Nevertheless, the specificity of these reconfigured FC patterns to the task at hand and their relevance to adaptive processes during learning remain elusive. To address this knowledge gap, we investigated (1) to what extent FC within the somatomotor network is reconfigured during motor skill practice, and (2) how these changes are related to learning. We applied a seed-driven FC approach to data collected during a continuous task-free condition, so-called resting state, and during a motor sequence learning task using functional magnetic resonance imaging. During the task, participants repeatedly performed a short five-element sequence with their non-dominant (left) hand. As predicted, such unimanual sequence production was associated with lateralized activation of the right somatomotor cortex (SMC). Using this "active" region as a seed, here we show that unimanual performance of the motor sequence relies on functional segregation between the two SMC and selective integration between the "active" SMC and supplementary motor area. Whereas, greater segregation between the two SMC was associated with gains in performance rate, greater segregation within the "active" SMC itself was associated with more consistent performance by the end of training. Nether the resting-state FC patterns within the somatomotor network nor their relative modulation by the task state predicted these behavioral benefits of learning. Our results suggest that task-induced FC changes reflect reconfiguration of the connectivity patterns within the somatomotor network rather than a simple amplification or silencing of its intrinsic dynamics. Such reconfiguration not only supports motor behavior but may also predict learning.
Collapse
Affiliation(s)
- Ella Gabitov
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Ovidiu Lungu
- Functional Neuroimaging Unit, Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, QC, Canada.,Département de Psychiatrie et d'Addictologie, Université de Montréal, Montreal, QC, Canada
| | - Geneviève Albouy
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| |
Collapse
|
8
|
Gabitov E, Boutin A, Pinsard B, Censor N, Fogel SM, Albouy G, King BR, Carrier J, Cohen LG, Karni A, Doyon J. Susceptibility of consolidated procedural memory to interference is independent of its active task-based retrieval. PLoS One 2019; 14:e0210876. [PMID: 30653576 PMCID: PMC6336251 DOI: 10.1371/journal.pone.0210876] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 01/03/2019] [Indexed: 11/18/2022] Open
Abstract
Reconsolidation theory posits that upon retrieval, consolidated memories are destabilized and need to be restabilized in order to persist. It has been suggested that experience with a competitive task immediately after memory retrieval may interrupt these restabilization processes leading to memory loss. Indeed, using a motor sequence learning paradigm, we have recently shown that, in humans, interference training immediately after active task-based retrieval of the consolidated motor sequence knowledge may negatively affect its performance levels. Assessing changes in tapping pattern before and after interference training, we also demonstrated that this performance deficit more likely indicates a genuine memory loss rather than an initial failure of memory retrieval. Here, applying a similar approach, we tested the necessity of the hypothetical retrieval-induced destabilization of motor memory to allow its impairment. The impact of memory retrieval on performance of a new motor sequence knowledge acquired during the interference training was also evaluated. Similar to the immediate post-retrieval interference, interference training alone without the preceding active task-based memory retrieval was also associated with impairment of the pre-established motor sequence memory. Performance levels of the sequence trained during the interference training, on the other hand, were impaired only if this training was given immediately after memory retrieval. Noteworthy, an 8-hour interval between memory retrieval and interference allowed to express intact performance levels for both sequences. The current results suggest that susceptibility of the consolidated motor memory to behavioral interference is independent of its active task-based retrieval. Differential effects of memory retrieval on performance levels of the new motor sequence encoded during the interference training further suggests that memory retrieval may influence the way new information is stored by facilitating its integration within the retrieved memory trace. Thus, impairment of the pre-established motor memory may reflect interference from a competing memory trace rather than involve interruption of reconsolidation.
Collapse
Affiliation(s)
- Ella Gabitov
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
- * E-mail: (EG); (JD)
| | - Arnaud Boutin
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Basile Pinsard
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
- Sorbonne Université, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, LIB, Paris, France
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Stuart M. Fogel
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Geneviève Albouy
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Bradley R. King
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Julie Carrier
- Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, Canada
- Research Center of Sacré-Cœur Hospital of Montreal, Montreal, Quebec, Canada
| | - Leonardo G. Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Avi Karni
- Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, Israel
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
- * E-mail: (EG); (JD)
| |
Collapse
|
9
|
Talalay IV, Kurgansky AV, Machinskaya RI. Alpha-band functional connectivity during cued versus implicit modality-specific anticipatory attention: EEG-source coherence analysis. Psychophysiology 2018; 55:e13269. [PMID: 30010197 DOI: 10.1111/psyp.13269] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 06/01/2018] [Accepted: 06/07/2018] [Indexed: 11/28/2022]
Abstract
The anticipation of future events based on a background experience is one of the main components of any goal-directed behavior. Anticipatory attention can be either voluntary (explicit) or involuntary (implicit). We presumed that these two types of anticipatory attention differed in terms of cortical functional organization. We examined this assumption with an experimental model consisting of three experimental sessions (cued attention, implicit learning, and baseline) that were equal in terms of stimuli, motor responses, and cognitive task. Participants were asked to discriminate the temporal order of stimuli within a pair presented in either the visual or auditory sensory modality. Prestimulus functional connectivity was assessed via alpha-band coherence computed in the source space for preselected regions of interests. Functional links between the cortices of the frontoparietal control system increased during the cued attention condition and did not increase during the implicit anticipation condition. The buildup of implicit anticipation was accompanied by the strengthening of functional links between the intraparietal, ventral premotor, and presupplementary motor areas. It was discovered that both cued and implicit types of anticipation were underlain by functional modality-specific cortical links.
Collapse
Affiliation(s)
- I V Talalay
- Institute of Developmental Physiology, Laboratory of Neurophysiology of Cognitive Processes, Moscow, Russia
| | - A V Kurgansky
- Institute of Developmental Physiology, Laboratory of Neurophysiology of Cognitive Processes, Moscow, Russia
| | - R I Machinskaya
- Institute of Developmental Physiology, Laboratory of Neurophysiology of Cognitive Processes, Moscow, Russia
| |
Collapse
|
10
|
Doyon J, Gabitov E, Vahdat S, Lungu O, Boutin A. Current issues related to motor sequence learning in humans. Curr Opin Behav Sci 2018. [DOI: 10.1016/j.cobeha.2017.11.012] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
|
11
|
Gabitov E, Boutin A, Pinsard B, Censor N, Fogel SM, Albouy G, King BR, Benali H, Carrier J, Cohen LG, Karni A, Doyon J. Re-stepping into the same river: competition problem rather than a reconsolidation failure in an established motor skill. Sci Rep 2017; 7:9406. [PMID: 28839217 PMCID: PMC5570932 DOI: 10.1038/s41598-017-09677-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 07/28/2017] [Indexed: 11/09/2022] Open
Abstract
Animal models suggest that consolidated memories return to their labile state when reactivated and need to be restabilized through reconsolidation processes to persist. Consistent with this notion, post-reactivation pharmacological protein synthesis blockage results in mnemonic failure in hippocampus-dependent memories. It has been proposed that, in humans, post-reactivation experience with a competitive task can also interfere with memory restabilization. However, several studies failed to induce performance deficit implementing this approach. Moreover, even upon effective post-reactivation interference, hindered performance may rapidly recover, raising the possibility of a retrieval rather than a storage deficit. Here, to address these issues in procedural memory domain, we used new learning to interfere with restabilization of motor memory acquired through training on a sequence of finger movements. Only immediate post-reactivation interference was associated with the loss of post-training delayed gains in performance, a hallmark of motor sequence memory consolidation. We also demonstrate that such performance deficit more likely indicates a genuine memory impairment rather than a retrieval failure. However, the reconsolidation view on a reactivation-induced plasticity is not supported. Instead, our results are in line with the integration model according to which new knowledge acquired during the interfering experience, is integrated through its consolidation creating memory competition.
Collapse
Affiliation(s)
- Ella Gabitov
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada. .,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada. .,Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, 3498838, Israel.
| | - Arnaud Boutin
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada.,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada
| | - Basile Pinsard
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada.,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada.,Functional Neuroimaging Laboratory, INSERM U1146, Sorbonne University, Paris, 75634, France
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Stuart M Fogel
- School of Psychology, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada
| | - Geneviève Albouy
- Movement Control and Neuroplasticity Research Group, Department of Kinesiology, KU Leuven, Leuven, 3000, Belgium
| | - Bradley R King
- Movement Control and Neuroplasticity Research Group, Department of Kinesiology, KU Leuven, Leuven, 3000, Belgium
| | - Habib Benali
- Functional Neuroimaging Laboratory, INSERM U1146, Sorbonne University, Paris, 75634, France.,PERFORM Centre, Concordia University, Montreal, Quebec, H4B 1R6, Canada
| | - Julie Carrier
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada.,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Avi Karni
- Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, 3498838, Israel
| | - Julien Doyon
- Department of Psychology, University of Montreal, Montreal, Quebec, H3C 3J7, Canada. .,Functional Neuroimaging Unit, C.R.I.U.G.M., Montreal, Quebec, H3W 1W5, Canada.
| |
Collapse
|
12
|
A cognitive framework for explaining serial processing and sequence execution strategies. Psychon Bull Rev 2014; 22:54-77. [PMID: 25421407 DOI: 10.3758/s13423-014-0773-4] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
13
|
Sutter C, Drewing K, Müsseler J. Multisensory integration in action control. Front Psychol 2014; 5:544. [PMID: 24959154 PMCID: PMC4051139 DOI: 10.3389/fpsyg.2014.00544] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2014] [Accepted: 05/16/2014] [Indexed: 11/13/2022] Open
Affiliation(s)
- Christine Sutter
- Department of Work and Cognitive Psychology, RWTH Aachen University Aachen, Germany
| | - Knut Drewing
- Department for Experimental Psychology, Institute for Psychology, Justus-Liebig University Giessen, Germany
| | - Jochen Müsseler
- Department of Work and Cognitive Psychology, RWTH Aachen University Aachen, Germany
| |
Collapse
|
14
|
Boutin A, Blandin Y, Massen C, Heuer H, Badets A. Conscious awareness of action potentiates sensorimotor learning. Cognition 2014; 133:1-9. [PMID: 24954450 DOI: 10.1016/j.cognition.2014.05.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 05/20/2014] [Accepted: 05/22/2014] [Indexed: 11/15/2022]
Abstract
Many everyday skills are unconsciously learned through repetitions of the same behaviour by binding independent motor acts into unified sets of actions. However, our ability to be consciously aware of producing newly and highly trained motor skills raises the question of the role played by conscious awareness of action upon skill acquisition. In this study we strengthened conscious awareness of self-produced sequential finger movements by way of asking participants to judge their performance in terms of maximal fluency after each trial. Control conditions in which participants did not make any judgment or performance-unrelated judgments were also included. Findings indicate that conscious awareness of action, enhanced via subjective appraisal of motor efficiency, potentiates sensorimotor learning and skilful motor production in optimising the processing and sequencing of action units, as compared to the control groups. The current work lends support to the claim that the learning and skilful expression of sensorimotor behaviours might be grounded upon our ability to be consciously aware of our own motor capability and efficiency.
Collapse
Affiliation(s)
- Arnaud Boutin
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
| | - Yannick Blandin
- National Centre of Scientific Research (CNRS; CeRCA - UMR 7295), Poitiers, France; University of Poitiers, Poitiers, France
| | - Cristina Massen
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Herbert Heuer
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Arnaud Badets
- National Centre of Scientific Research (CNRS; CeRCA - UMR 7295), Poitiers, France
| |
Collapse
|