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van der Plas M, Failla A, Robertson EM. Neuroscience: Memory modification without catastrophe. Curr Biol 2024; 34:R281-R284. [PMID: 38593772 DOI: 10.1016/j.cub.2024.02.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Adaptive behaviour is supported by changes in neuronal networks. Insight into maintaining these memories - preventing their catastrophic loss - despite further network changes occurring due to novel learning is provided in a new study.
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Affiliation(s)
- Mircea van der Plas
- Institute of Neuroscience and Psychology, Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK
| | - Alberto Failla
- Institute of Neuroscience and Psychology, Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK
| | - Edwin M Robertson
- Institute of Neuroscience and Psychology, Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK.
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2
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Wang Y, Huynh AT, Bao S, Buchanan JJ, Wright DL, Lei Y. Memory consolidation of sequence learning and dynamic adaptation during wakefulness. Cereb Cortex 2024; 34:bhad507. [PMID: 38185987 DOI: 10.1093/cercor/bhad507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 12/04/2023] [Accepted: 12/15/2023] [Indexed: 01/09/2024] Open
Abstract
Motor learning involves acquiring new movement sequences and adapting motor commands to novel conditions. Labile motor memories, acquired through sequence learning and dynamic adaptation, undergo a consolidation process during wakefulness after initial training. This process stabilizes the new memories, leading to long-term memory formation. However, it remains unclear if the consolidation processes underlying sequence learning and dynamic adaptation are independent and if distinct neural regions underpin memory consolidation associated with sequence learning and dynamic adaptation. Here, we first demonstrated that the initially labile memories formed during sequence learning and dynamic adaptation were stabilized against interference through time-dependent consolidation processes occurring during wakefulness. Furthermore, we found that sequence learning memory was not disrupted when immediately followed by dynamic adaptation and vice versa, indicating distinct mechanisms for sequence learning and dynamic adaptation consolidation. Finally, by applying patterned transcranial magnetic stimulation to selectively disrupt the activity in the primary motor (M1) or sensory (S1) cortices immediately after sequence learning or dynamic adaptation, we found that sequence learning consolidation depended on M1 but not S1, while dynamic adaptation consolidation relied on S1 but not M1. For the first time in a single experimental framework, this study revealed distinct neural underpinnings for sequence learning and dynamic adaptation consolidation during wakefulness, with significant implications for motor skill enhancement and rehabilitation.
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Affiliation(s)
- Yiyu Wang
- Program of Motor Neuroscience, Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX 77843, United States
| | - Angelina T Huynh
- Program of Motor Neuroscience, Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX 77843, United States
| | - Shancheng Bao
- Program of Motor Neuroscience, Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX 77843, United States
| | - John J Buchanan
- Program of Motor Neuroscience, Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX 77843, United States
| | - David L Wright
- Program of Motor Neuroscience, Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX 77843, United States
| | - Yuming Lei
- Program of Motor Neuroscience, Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX 77843, United States
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Eisenstein T, Furman-Haran E, Tal A. Early excitatory-inhibitory cortical modifications following skill learning are associated with motor memory consolidation and plasticity overnight. Nat Commun 2024; 15:906. [PMID: 38291029 PMCID: PMC10828487 DOI: 10.1038/s41467-024-44979-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 01/08/2024] [Indexed: 02/01/2024] Open
Abstract
Consolidation of motor memories is vital to offline enhancement of new motor skills and involves short and longer-term offline processes following learning. While emerging evidence link glutamate and GABA dynamics in the primary motor cortex (M1) to online motor skill practice, its relationship with offline consolidation processes in humans is unclear. Using two-day repeated measures of behavioral and multimodal neuroimaging data before and following motor sequence learning, we show that short-term glutamatergic and GABAergic responses in M1 within minutes after learning were associated with longer-term learning-induced functional, structural, and behavioral modifications overnight. Furthermore, Glutamatergic and GABAergic modifications were differentially associated with different facets of motor memory consolidation. Our results point to unique and distinct roles of Glutamate and GABA in motor memory consolidation processes in the human brain across timescales and mechanistic levels, tying short-term changes on the neurochemical level to overnight changes in macroscale structure, function, and behavior.
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Affiliation(s)
- Tamir Eisenstein
- Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.
| | - Edna Furman-Haran
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Assaf Tal
- Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.
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Xiong Y, Zhu J, He Y, Qu W, Huang Z, Ding F. Sleep fragmentation reduces explorative behaviors and impairs motor coordination in male mice. J Neurosci Res 2024; 102:e25268. [PMID: 38284850 DOI: 10.1002/jnr.25268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/26/2023] [Accepted: 10/22/2023] [Indexed: 01/30/2024]
Abstract
Sleep fragmentation (SF), which refers to discontinuous and fragmented sleep, induces cognitive impairment and anxiety-like behavior in mice. However, whether SF can affect motor capability in healthy young wild-type mice and the underlying mechanisms remain unknown. We performed seven days of sleep fragmentation (SF 7d) interventions in young wild-type male mice. While SF mice experienced regular sleep disruption between Zeitgeber time (ZT) 0-12, control mice were allowed to have natural sleep (NS) cycles. Homecage analysis and conventional behavioral tests were conducted to assess the behavioral alterations in behavioral patterns in general and motor-related behaviors. Sleep structures and the power spectrum of electroencephalograms (EEGs) were compared between SF 7d and NS groups. Neuronal activation was measured using c-Fos immunostaining and quantified in multiple brain regions. SF of 7 days significantly decreased bouts of rearing and sniffing and the duration of rearing and impaired motor coordination. An increase in the total sleep time and a decrease in wakefulness between ZT12-24 was found in SF 7d mice. In SF 7d mice, EEG beta1 power was increased in rapid eye movement (REM) sleep while theta power was decreased during wakefulness. SF 7d resulted in significant suppression in c-Fos (+) cell counts in the motor cortex and hippocampus but an increase in c-Fos (+) cell counts in the substantia nigra pars compacta (SNc). In summary, SF 7d suppressed explorative behaviors and impaired motor coordination as compared to NS. EEG power and altered neuronal activity detected by c-Fos staining might contribute to the behavioral changes.
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Affiliation(s)
- Yanyu Xiong
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, The Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Jian Zhu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, The Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yifan He
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, The Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Weimin Qu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, The Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Zhili Huang
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, The Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Fengfei Ding
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, The Department of Pharmacology, School of Basic Medical Sciences, Fudan University, Shanghai, China
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Yamada T, Watanabe T, Sasaki Y. Plasticity-stability dynamics during post-training processing of learning. Trends Cogn Sci 2024; 28:72-83. [PMID: 37858389 PMCID: PMC10842181 DOI: 10.1016/j.tics.2023.09.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 10/21/2023]
Abstract
Learning continues beyond the end of training. Post-training learning is supported by changes in plasticity and stability in the brain during both wakefulness and sleep. However, the lack of a unified measure for assessing plasticity and stability dynamics during training and post-training periods has limited our understanding of how these dynamics shape learning. Focusing primarily on procedural learning, we integrate work using behavioral paradigms and a recently developed measure, the excitatory-to-inhibitory (E/I) ratio, to explore the delicate balance between plasticity and stability and its relationship to post-training learning. This reveals plasticity-stability cycles during both wakefulness and sleep that enhance learning and protect it from new learning during post-training processing.
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Affiliation(s)
- Takashi Yamada
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA
| | - Takeo Watanabe
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA
| | - Yuka Sasaki
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA.
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Cristini J, Kraft VS, De Las Heras B, Rodrigues L, Parwanta Z, Hermsdörfer J, Steib S, Roig M. Differential effects of acute cardiovascular exercise on explicit and implicit motor memory: The moderating effects of fitness level. Neurobiol Learn Mem 2023; 205:107846. [PMID: 37865261 DOI: 10.1016/j.nlm.2023.107846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/29/2023] [Accepted: 10/18/2023] [Indexed: 10/23/2023]
Abstract
A single bout of cardiovascular exercise (CE) performed after practice can facilitate the consolidation of motor memory. However, the effect is variable and may be modulated by different factors such as the motor task's or participant's characteristics and level of awareness during encoding (implicit vs explicit learning). This study examines the effects of acute CE on the consolidation of motor sequences learned explicitly and implicitly, exploring the potential moderating effect of fitness level and awareness. Fifty-six healthy adults (24.1 ± 3.3 years, 32 female) were recruited. After practicing with either the implicit or explicit variant of the Serial Reaction Time Task (SRTT), participants either performed a bout of 16 min of vigorous CE or rested for the same amount of time. Consolidation was quantified as the change in SRTT performance from the end of practice to a 24 h retention test. Fitness level (V̇O2peak) was determined through a graded exercise test. Awareness (implicit vs explicit learning) was operationalized using a free recall test conducted immediately after retention. Our primary analysis indicated that CE had no statistically significant effects on consolidation, regardless of the SRTT's variant utilized during practice. However, an exploratory analysis, classifying participants based on the level of awareness gained during motor practice, showed that CE negatively influenced consolidation in unfit participants who explicitly acquired the motor sequence. Our findings indicate that fitness level and awareness in sequence acquisition can modulate the interaction between CE and motor memory consolidation. These factors should be taken into account when assessing the effects of CE on motor memory.
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Affiliation(s)
- J Cristini
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada; School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - V S Kraft
- Chair of Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - B De Las Heras
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada; School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - L Rodrigues
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada; School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Z Parwanta
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada; School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - J Hermsdörfer
- Chair of Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - S Steib
- Department of Exercise, Training and Active Aging, Institute of Sport and Sport Science, University of Heidelberg, Heidelberg, Germany
| | - M Roig
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada; School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
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Szücs-Bencze L, Vékony T, Pesthy O, Szabó N, Kincses TZ, Turi Z, Nemeth D. Modulating Visuomotor Sequence Learning by Repetitive Transcranial Magnetic Stimulation: What Do We Know So Far? J Intell 2023; 11:201. [PMID: 37888433 PMCID: PMC10607545 DOI: 10.3390/jintelligence11100201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/23/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023] Open
Abstract
Predictive processes and numerous cognitive, motor, and social skills depend heavily on sequence learning. The visuomotor Serial Reaction Time Task (SRTT) can measure this fundamental cognitive process. To comprehend the neural underpinnings of the SRTT, non-invasive brain stimulation stands out as one of the most effective methodologies. Nevertheless, a systematic list of considerations for the design of such interventional studies is currently lacking. To address this gap, this review aimed to investigate whether repetitive transcranial magnetic stimulation (rTMS) is a viable method of modulating visuomotor sequence learning and to identify the factors that mediate its efficacy. We systematically analyzed the eligible records (n = 17) that attempted to modulate the performance of the SRTT with rTMS. The purpose of the analysis was to determine how the following factors affected SRTT performance: (1) stimulated brain regions, (2) rTMS protocols, (3) stimulated hemisphere, (4) timing of the stimulation, (5) SRTT sequence properties, and (6) other methodological features. The primary motor cortex (M1) and the dorsolateral prefrontal cortex (DLPFC) were found to be the most promising stimulation targets. Low-frequency protocols over M1 usually weaken performance, but the results are less consistent for the DLPFC. This review provides a comprehensive discussion about the behavioral effects of six factors that are crucial in designing future studies to modulate sequence learning with rTMS. Future studies may preferentially and synergistically combine functional neuroimaging with rTMS to adequately link the rTMS-induced network effects with behavioral findings, which are crucial to develop a unified cognitive model of visuomotor sequence learning.
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Affiliation(s)
- Laura Szücs-Bencze
- Department of Neurology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
| | - Teodóra Vékony
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, 95 Boulevard Pinel, F-69500 Bron, France
| | - Orsolya Pesthy
- Doctoral School of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, H-1064 Budapest, Hungary
- Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary
- Institute of Psychology, ELTE Eötvös Loránd Universiry, Izabella utca 46, H-1064 Budapest, Hungary
| | - Nikoletta Szabó
- Department of Neurology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
| | - Tamás Zsigmond Kincses
- Department of Neurology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
- Department of Radiology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
| | - Zsolt Turi
- Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Albertstrasse 17, D-79104 Freiburg, Germany
| | - Dezso Nemeth
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, 95 Boulevard Pinel, F-69500 Bron, France
- BML-NAP Research Group, Institute of Psychology & Institute of Cognitive Neuroscience and Psychology, ELTE Eötvös Loránd University & Research Centre for Natural Sciences, Damjanich utca 41, H-1072 Budapest, Hungary
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Lutz ND, Admard M, Genzoni E, Born J, Rauss K. Occipital sleep spindles predict sequence learning in a visuo-motor task. Sleep 2021; 44:zsab056. [PMID: 33743012 PMCID: PMC8361350 DOI: 10.1093/sleep/zsab056] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 03/01/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES The brain appears to use internal models to successfully interact with its environment via active predictions of future events. Both internal models and the predictions derived from them are based on previous experience. However, it remains unclear how previously encoded information is maintained to support this function, especially in the visual domain. In the present study, we hypothesized that sleep consolidates newly encoded spatio-temporal regularities to improve predictions afterwards. METHODS We tested this hypothesis using a novel sequence-learning paradigm that aimed to dissociate perceptual from motor learning. We recorded behavioral performance and high-density electroencephalography (EEG) in male human participants during initial training and during testing two days later, following an experimental night of sleep (n = 16, including high-density EEG recordings) or wakefulness (n = 17). RESULTS Our results show sleep-dependent behavioral improvements correlated with sleep-spindle activity specifically over occipital cortices. Moreover, event-related potential (ERP) responses indicate a shift of attention away from predictable to unpredictable sequences after sleep, consistent with enhanced automaticity in the processing of predictable sequences. CONCLUSIONS These findings suggest a sleep-dependent improvement in the prediction of visual sequences, likely related to visual cortex reactivation during sleep spindles. Considering that controls in our experiments did not fully exclude oculomotor contributions, future studies will need to address the extent to which these effects depend on purely perceptual versus oculomotor sequence learning.
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Affiliation(s)
- Nicolas D Lutz
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Graduate Training Centre of Neuroscience/IMPRS for Cognitive & Systems Neuroscience, University of Tübingen, Tübingen, Germany
| | - Marie Admard
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Elsa Genzoni
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Jan Born
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Institute for Diabetes Research & Metabolic Diseases of the Helmholtz Center Munich at the University Tübingen (IDM), Germany
| | - Karsten Rauss
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
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Intention to learn modulates the impact of reward and punishment on sequence learning. Sci Rep 2020; 10:8906. [PMID: 32483289 PMCID: PMC7264311 DOI: 10.1038/s41598-020-65853-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 04/20/2020] [Indexed: 11/09/2022] Open
Abstract
In real-world settings, learning is often characterised as intentional: learners are aware of the goal during the learning process, and the goal of learning is readily dissociable from the awareness of what is learned. Recent evidence has shown that reward and punishment (collectively referred to as valenced feedback) are important factors that influence performance during learning. Presently, however, studies investigating the impact of valenced feedback on skill learning have only considered unintentional learning, and therefore the interaction between intentionality and valenced feedback has not been systematically examined. The present study investigated how reward and punishment impact behavioural performance when participants are instructed to learn in a goal-directed fashion (i.e. intentionally) rather than unintentionally. In Experiment 1, participants performed the serial response time task with reward, punishment, or control feedback and were instructed to ignore the presence of the sequence, i.e., learn unintentionally. Experiment 2 followed the same design, but participants were instructed to intentionally learn the sequence. We found that punishment significantly benefitted performance during learning only when participants learned unintentionally, and we observed no effect of punishment when participants learned intentionally. Thus, the impact of feedback on performance may be influenced by goal of the learner.
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Park I, Buchanan JJ, McCulloch AT, Chen J, Wright DL. Motor and spatial representations of action: corticospinal excitability in M1 after training with a bimanual skill. Exp Brain Res 2020; 238:1191-1202. [DOI: 10.1007/s00221-020-05795-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 03/19/2020] [Indexed: 11/28/2022]
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Mutanen TP, Bracco M, Robertson EM. A Common Task Structure Links Together the Fate of Different Types of Memories. Curr Biol 2020; 30:2139-2145.e5. [PMID: 32302588 DOI: 10.1016/j.cub.2020.03.043] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 02/06/2020] [Accepted: 03/17/2020] [Indexed: 12/28/2022]
Abstract
Our memories frequently have features in common. For example, a learned sequence of words or actions can follow a common rule, which determines their serial order, despite being composed of very different events [1, 2]. This common abstract structure might link the fates of memories together. We tested this idea by creating different types of memory task: a sequence of words or actions that either did or did not have a common structure. Participants learned one of these memory tasks and then they learned another type of memory task 6 h later, either with or without the same structure. We then tested the newly formed memory's susceptibility to interference. We found that the newly formed memory was protected from interference when it shared a common structure with the earlier memory. Specifically, learning a sequence of words protected a subsequent sequence of actions learned hours later from interference, and conversely, learning a sequence of actions protected a subsequent sequence of words learned hours later from interference provided the sequences shared a common structure. Yet this protection of the newly formed memory came at a cost. The earlier memory had disrupted recall when it had the same rather than a different structure to the newly formed and protected memory. Thus, a common structure can determine what is retained (i.e., protected) and what is modified (i.e., disrupted). Our work reveals that a shared common structure links the fate of otherwise different types of memories together and identifies a novel mechanism for memory modification.
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Affiliation(s)
- Tuomas P Mutanen
- Department of Neuroscience & Biomedical Engineering, Aalto University, School of Science, 00076 Aalto, Espoo, Finland
| | - Martina Bracco
- Institute of Neuroscience & Psychology, Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK
| | - Edwin M Robertson
- Institute of Neuroscience & Psychology, Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK.
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12
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Robertson EM, Genzel L. Memories replayed: reactivating past successes and new dilemmas. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190226. [PMID: 32248775 DOI: 10.1098/rstb.2019.0226] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Our experiences continue to be processed 'offline' in the ensuing hours of both wakefulness and sleep. During these different brain states, the memory formed during our experience is replayed or reactivated. Here, we discuss the unique challenges in studying offline reactivation, the growth in both the experimental and analytical techniques available across different animals from rodents to humans to capture these offline events, the important challenges this innovation has brought, our still modest understanding of how reactivation drives diverse synaptic changes across circuits, and how these changes differ (if at all), and perhaps complement, those at memory formation. Together, these discussions highlight critical emerging issues vital for identifying how reactivation affects circuits, and, in turn, behaviour, and provides a broader context for the contributions in this special issue. This article is part of the Theo Murphy meeting issue 'Memory reactivation: replaying events past, present and future'.
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Affiliation(s)
- Edwin M Robertson
- Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, UK
| | - Lisa Genzel
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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13
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Debarnot U, Neveu R, Samaha Y, Saruco E, Macintyre T, Guillot A. Acquisition and consolidation of implicit motor learning with physical and mental practice across multiple days of anodal tDCS. Neurobiol Learn Mem 2019; 164:107062. [PMID: 31377178 DOI: 10.1016/j.nlm.2019.107062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 07/16/2019] [Accepted: 07/30/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Acquisition and consolidation of a new motor skill occurs gradually over long time span. Motor imagery (MI) and brain stimulation have been showed as beneficial approaches that boost motor learning, but little is known about the extent of their combined effects. OBJECTIVE Here, we aimed to investigate, for the first time, whether delivering multiple sessions of transcranial direct current stimulation (tDCS) over primary motor cortex during physical and MI practice might improve implicit motor sequence learning in a young population. METHODS Participants practiced a serial reaction time task (SRTT) either physically or through MI, and concomitantly received either an anodal (excitatory) or sham stimulation over the primary motor cortex during three successive days. The effect of anodal tDCS on the general motor skill and sequence specific learning were assessed on both acquisition (within-day) and consolidation (between-day) processes. We further compared the magnitude of motor learning reached after a single and three daily sessions of tDCS. RESULTS The main finding showed that anodal tDCS boosted MI practice, but not physical practice, during the first acquisition session. A second major result showed that compared to sham stimulation, multiple daily session of anodal tDCS, for both types of practice, resulted in greater implicit motor sequence learning rather than a single session of stimulation. CONCLUSIONS The present study is of particular importance in the context of rehabilitation, where we postulate that scheduling mental training when patients are not able to perform physical movement might beneficiate from concomitant and consecutive brain stimulation sessions over M1 to promote functional recovery.
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Affiliation(s)
- Ursula Debarnot
- Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622 Villeurbanne, France.
| | - Rémi Neveu
- Division of Child and Adolescent Psychiatry, University of Geneva, 1200 Geneva, Switzerland
| | - Yvette Samaha
- Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622 Villeurbanne, France
| | - Elodie Saruco
- Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622 Villeurbanne, France; Neurologische Universitätsklinik, Bergmannsheil gGmbH, Forschungsgruppe Plastizität, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Tadhg Macintyre
- Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
| | - Aymeric Guillot
- Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622 Villeurbanne, France
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Lacroix A, Proulx-Bégin L, Hamel R, De Beaumont L, Bernier PM, Lepage JF. Static magnetic stimulation of the primary motor cortex impairs online but not offline motor sequence learning. Sci Rep 2019; 9:9886. [PMID: 31285526 PMCID: PMC6614538 DOI: 10.1038/s41598-019-46379-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/19/2019] [Indexed: 12/14/2022] Open
Abstract
Static magnetic fields (SMFs) are known to alter neural activity, but evidence of their ability to modify learning-related neuroplasticity is lacking. The present study tested the hypothesis that application of static magnetic stimulation (SMS), an SMF applied transcranially via a neodymium magnet, over the primary motor cortex (M1) would alter learning of a serial reaction time task (SRTT). Thirty-nine participants took part in two experimental sessions separated by 24 h where they had to learn the SRTT with their right hand. During the first session, two groups received SMS either over contralateral (i.e., left) or ipsilateral (i.e., right) M1 while a third group received sham stimulation. SMS was not applied during the second session. Results of the first session showed that application of SMS over contralateral M1 impaired online learning as compared to both ipsilateral and sham groups, which did not differ. Results further revealed that application of SMS did not impair offline learning or relearning. Overall, these results are in line with those obtained using other neuromodulatory techniques believed to reduce cortical excitability in the context of motor learning and suggest that the ability of SMS to alter learning-related neuroplasticity is temporally circumscribed to the duration of its application.
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Affiliation(s)
- Angélina Lacroix
- Department of Pediatrics, Sherbrooke University, 3001-12th Ave. North, Sherbrooke, Canada.,Sherbrooke University Research Center, 3001-12th Ave. North, Sherbrooke, Canada
| | - Léa Proulx-Bégin
- Department of Psychology, Montreal University, 90 Ave. Vincent d'Indy, Montréal, Canada
| | - Raphaël Hamel
- Department of Pediatrics, Sherbrooke University, 3001-12th Ave. North, Sherbrooke, Canada.,Sherbrooke University Research Center, 3001-12th Ave. North, Sherbrooke, Canada.,Faculty of Physical Activity Sciences, Sherbrooke University, 2500 de l'Université Blvd., Sherbrooke, Canada
| | - Louis De Beaumont
- Department of Surgery, Faculty of Medicine, Pavillon Roger-Gaudry C.P, 6128, Montréal, Canada
| | - Pierre-Michel Bernier
- Faculty of Physical Activity Sciences, Sherbrooke University, 2500 de l'Université Blvd., Sherbrooke, Canada
| | - Jean-François Lepage
- Department of Pediatrics, Sherbrooke University, 3001-12th Ave. North, Sherbrooke, Canada. .,Sherbrooke University Research Center, 3001-12th Ave. North, Sherbrooke, Canada.
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15
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Steel A, Silson EH, Stagg CJ, Baker CI. Differential impact of reward and punishment on functional connectivity after skill learning. Neuroimage 2019; 189:95-105. [PMID: 30630080 PMCID: PMC7612345 DOI: 10.1016/j.neuroimage.2019.01.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 01/03/2019] [Accepted: 01/04/2019] [Indexed: 12/20/2022] Open
Abstract
Reward and punishment shape behavior, but the mechanisms underlying their effect on skill learning are not well understood. Here, we tested whether the functional connectivity of premotor cortex (PMC), a region known to be critical for learning of sequencing skills, is altered after training when reward or punishment is given during training. Resting-state fMRI was collected in two experiments before and after participants trained on either a serial reaction time task (SRTT; n = 36) or force-tracking task (FTT; n = 36) with reward, punishment, or control feedback. In each experiment, training-related change in PMC functional connectivity was compared across feedback groups. In both tasks, we found that reward and punishment differentially affected PMC functional connectivity. On the SRTT, participants trained with reward showed an increase in functional connectivity between PMC and cerebellum as well as PMC and striatum, while participants trained with punishment showed an increase in functional connectivity between PMC and medial temporal lobe connectivity. After training on the FTT, subjects trained with control and reward showed increases in PMC connectivity with parietal and temporal cortices after training, while subjects trained with punishment showed increased PMC connectivity with ventral striatum. While the results from the two experiments overlapped in some areas, including ventral pallidum, temporal lobe, and cerebellum, these regions showed diverging patterns of results across the two tasks for the different feedback conditions. These findings suggest that reward and punishment strongly influence spontaneous brain activity after training, and that the regions implicated depend on the task learned.
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Affiliation(s)
- Adam Steel
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20814, USA.
| | - Edward H Silson
- Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20814, USA
| | - Charlotte J Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK; Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging, University Department of Psychiatry, University of Oxford, Oxford, OX3 9DU, UK
| | - Chris I Baker
- Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20814, USA
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Vien C, Boré A, Boutin A, Pinsard B, Carrier J, Doyon J, Fogel S. Thalamo-Cortical White Matter Underlies Motor Memory Consolidation via Modulation of Sleep Spindles in Young and Older Adults. Neuroscience 2019; 402:104-115. [PMID: 30615913 DOI: 10.1016/j.neuroscience.2018.12.049] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 12/23/2018] [Accepted: 12/27/2018] [Indexed: 11/30/2022]
Abstract
Ample evidence suggests that consolidation of the memory trace associated with a newly acquired motor sequence is supported by thalamo-cortical spindle activity during subsequent sleep, as well as functional changes in a distributed cortico-striatal network. To date, however, no studies have investigated whether the structural white matter connections between these regions affect motor sequence memory consolidation in relation with sleep spindles. Here, we used diffusion weighted imaging (DWI) tractography to reconstruct the major fascicles of the cortico-striato-pallido-thalamo-cortical loop in both young and older participants who were trained on an explicit finger sequence learning task before and after a daytime nap. Thereby, this allowed us to examine whether post-learning sleep spindles measured using polysomnographic recordings interact with consolidation processes and this specific neural network. Our findings provide evidence corroborating the critical role of NREM2 thalamo-cortical sleep spindles in motor sequence memory consolidation, and show that the post-learning changes in these neurophysiological events relate specifically to white matter characteristics in thalamo-cortical fascicles. Moreover, we demonstrate that microstructure along this fascicle relates indirectly to offline gains in performance through an increase of spindle density over motor-related cortical areas. These results suggest that the integrity of thalamo-cortical projections, via their impact on sleep spindle generation, may represent one of the critical mechanisms modulating the expression of sleep-dependent offline gains following motor sequence learning in healthy adults.
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Affiliation(s)
- Catherine Vien
- Functional Neuroimaging Unit, CRIUGM, Montreal, QC, Canada; University of Montreal, Montreal, Canada
| | - Arnaud Boré
- Functional Neuroimaging Unit, CRIUGM, Montreal, QC, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Arnaud Boutin
- Functional Neuroimaging Unit, CRIUGM, Montreal, QC, Canada; University of Montreal, Montreal, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Basile Pinsard
- Functional Neuroimaging Unit, CRIUGM, Montreal, QC, Canada; University of Montreal, Montreal, Canada; Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France
| | - Julie Carrier
- Functional Neuroimaging Unit, CRIUGM, Montreal, QC, Canada; University of Montreal, Montreal, Canada; Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montreal, Montreal, Canada
| | - Julien Doyon
- Functional Neuroimaging Unit, CRIUGM, Montreal, QC, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada.
| | - Stuart Fogel
- School of Psychology, University of Ottawa, Ottawa, Canada
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17
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Abstract
Our present frequently resembles our past. Patterns of actions and events repeat throughout our lives like a motif. Identifying and exploiting these patterns are fundamental to many behaviours, from creating grammar to the application of skill across diverse situations. Such generalization may be dependent upon memory instability. Following their formation, memories are unstable and able to interact with one another, allowing, at least in principle, common features to be extracted. Exploiting these common features creates generalized knowledge that can be applied across varied circumstances. Memory instability explains many of the biological and behavioural conditions necessary for generalization and offers predictions for how generalization is produced.
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Affiliation(s)
- Edwin M. Robertson
- Institute of Neuroscience & Psychology, Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow, United Kingdom
- * E-mail:
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18
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Neuroscience: Sleep, memories, and the brain. Nat Hum Behav 2017. [DOI: 10.1038/s41562-017-0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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