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Bonetti L, Fernández-Rubio G, Lumaca M, Carlomagno F, Risgaard Olsen E, Criscuolo A, Kotz SA, Vuust P, Brattico E, Kringelbach ML. Age-related neural changes underlying long-term recognition of musical sequences. Commun Biol 2024; 7:1036. [PMID: 39209979 PMCID: PMC11362492 DOI: 10.1038/s42003-024-06587-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 07/15/2024] [Indexed: 09/04/2024] Open
Abstract
Aging is often associated with decline in brain processing power and neural predictive capabilities. To challenge this notion, we used magnetoencephalography (MEG) and magnetic resonance imaging (MRI) to record the whole-brain activity of 39 older adults (over 60 years old) and 37 young adults (aged 18-25 years) during recognition of previously memorised and varied musical sequences. Results reveal that when recognising memorised sequences, the brain of older compared to young adults reshapes its functional organisation. In fact, it shows increased early activity in sensory regions such as the left auditory cortex (100 ms and 250 ms after each note), and only moderate decreased activity (350 ms) in medial temporal lobe and prefrontal regions. When processing the varied sequences, older adults show a marked reduction of the fast-scale functionality (250 ms after each note) of higher-order brain regions including hippocampus, ventromedial prefrontal and inferior temporal cortices, while no differences are observed in the auditory cortex. Accordingly, young outperform older adults in the recognition of novel sequences, while no behavioural differences are observed with regards to memorised ones. Our findings show age-related neural changes in predictive and memory processes, integrating existing theories on compensatory neural mechanisms in non-pathological aging.
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Affiliation(s)
- Leonardo Bonetti
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark.
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK.
- Department of Psychiatry, University of Oxford, Oxford, UK.
| | - Gemma Fernández-Rubio
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
| | - Massimo Lumaca
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
| | - Francesco Carlomagno
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - Emma Risgaard Olsen
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
| | - Antonio Criscuolo
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Sonja A Kotz
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
| | - Elvira Brattico
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - Morten L Kringelbach
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus/Aalborg, Aarhus, Denmark
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
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2
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Liu P, Lin T, Fischer H, Feifel D, Ebner NC. Effects of four-week intranasal oxytocin administration on large-scale brain networks in older adults. Neuropharmacology 2024; 260:110130. [PMID: 39182569 DOI: 10.1016/j.neuropharm.2024.110130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 07/18/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024]
Abstract
Oxytocin (OT) is a crucial modulator of social cognition and behavior. Previous work primarily examined effects of acute intranasal oxytocin administration (IN-OT) in younger males on isolated brain regions. Not well understood are (i) chronic IN-OT effects, (ii) in older adults, (iii) on large-scale brain networks, representative of OT's wider-ranging brain mechanisms. To address these research gaps, 60 generally healthy older adults (mean age = 70.12 years, range = 55-83) were randomly assigned to self-administer either IN-OT or placebo twice daily via nasal spray over four weeks. Chronic IN-OT reduced resting-state functional connectivity (rs-FC) of both the right insula and the left middle cingulate cortex with the salience network but enhanced rs-FC of the left medial prefrontal cortex with the default mode network as well as the left thalamus with the basal ganglia-thalamus network. No significant chronic IN-OT effects were observed for between-network rs-FC. However, chronic IN-OT increased selective rs-FC of the basal ganglia-thalamus network with the salience network and the default mode network, indicative of more specialized, efficient communication between these networks. Directly comparing chronic vs. acute IN-OT, reduced rs-FC of the right insula with the salience network and between the default mode network and the basal ganglia-thalamus network, and greater selective rs-FC of the salience network with the default mode network and the basal ganglia-thalamus network, were more pronounced after chronic than acute IN-OT. Our results delineate the modulatory role of IN-OT on large-scale brain networks among older adults.
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Affiliation(s)
- Peiwei Liu
- Department of Psychology, University of Florida, Gainesville, FL, 32611, USA.
| | - Tian Lin
- Department of Psychology, University of Florida, Gainesville, FL, 32611, USA
| | - Håkan Fischer
- Department of Psychology, Stockholm University, Stockholm, SE-106 91, Sweden; Stockholm University Brain Imaging Centre (SUBIC), Stockholm University, Stockholm, SE-106 91, Sweden; Aging Research Centre, Karolinska Institute, Stockholm, SE-171 77, Stockholm, Sweden
| | - David Feifel
- Department of Psychiatry, University of California, San Diego, CA, 92093, USA
| | - Natalie C Ebner
- Department of Psychology, University of Florida, Gainesville, FL, 32611, USA; Institute on Aging, University of Florida, Gainesville, FL, 32611, USA; Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, 32610, USA.
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Maddaluno O, Della Penna S, Pizzuti A, Spezialetti M, Corbetta M, de Pasquale F, Betti V. Encoding Manual Dexterity through Modulation of Intrinsic α Band Connectivity. J Neurosci 2024; 44:e1766232024. [PMID: 38538141 PMCID: PMC11097277 DOI: 10.1523/jneurosci.1766-23.2024] [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: 09/18/2023] [Revised: 01/21/2024] [Accepted: 02/20/2024] [Indexed: 05/18/2024] Open
Abstract
The human hand possesses both consolidated motor skills and remarkable flexibility in adapting to ongoing task demands. However, the underlying mechanisms by which the brain balances stability and flexibility remain unknown. In the absence of external input or behavior, spontaneous (intrinsic) brain connectivity is thought to represent a prior of stored memories. In this study, we investigated how manual dexterity modulates spontaneous functional connectivity in the motor cortex during hand movement. Using magnetoencephalography, in 47 human participants (both sexes), we examined connectivity modulations in the α and β frequency bands at rest and during two motor tasks (i.e., finger tapping or toe squeezing). The flexibility and stability of such modulations allowed us to identify two groups of participants with different levels of performance (high and low performers) on the nine-hole peg test, a test of manual dexterity. In the α band, participants with higher manual dexterity showed distributed decreases of connectivity, specifically in the motor cortex, increased segregation, and reduced nodal centrality. Participants with lower manual dexterity showed an opposite pattern. Notably, these patterns from the brain to behavior are mirrored by results from behavior to the brain. Indeed, when participants were divided using the median split of the dexterity score, we found the same connectivity patterns. In summary, this experiment shows that a long-term motor skill-manual dexterity-influences the way the motor systems respond during movements.
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Affiliation(s)
- Ottavia Maddaluno
- Department of Psychology, Sapienza University of Rome, Rome 00185, Italy
- IRCCS Santa Lucia Foundation, Rome 00179, Italy
| | - Stefania Della Penna
- Department of Neuroscience, Imaging and Clinical Sciences and ITAB - Institute of Advanced Biomedical Technologies, "G. d'Annunzio" University of Chieti and Pescara, Chieti 66013, Italy
| | - Alessandra Pizzuti
- Department of Psychology, Sapienza University of Rome, Rome 00185, Italy
- IRCCS Santa Lucia Foundation, Rome 00179, Italy
| | - Matteo Spezialetti
- Department of Psychology, Sapienza University of Rome, Rome 00185, Italy
- IRCCS Santa Lucia Foundation, Rome 00179, Italy
| | - Maurizio Corbetta
- Department of Neuroscience and Padova Neuroscience Center, University of Padua, Padua 35131, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova 35129, Italy
| | | | - Viviana Betti
- Department of Psychology, Sapienza University of Rome, Rome 00185, Italy
- IRCCS Santa Lucia Foundation, Rome 00179, Italy
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Yamamoto S, Miyaguchi S, Ogawa T, Inukai Y, Otsuru N, Onishi H. Effects of transcranial alternating current stimulation to the supplementary motor area on motor learning. Front Behav Neurosci 2024; 18:1378059. [PMID: 38741685 PMCID: PMC11089168 DOI: 10.3389/fnbeh.2024.1378059] [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: 01/29/2024] [Accepted: 04/10/2024] [Indexed: 05/16/2024] Open
Abstract
Transcranial alternating current stimulation (tACS) is a noninvasive method for brain stimulation that artificially modulates oscillatory brain activity in the cortical region directly beneath the electrodes by applying a weak alternating current. Beta (β) oscillatory activity in the supplementary motor area (SMA) is involved in motor planning and maintenance, whereas gamma (γ) oscillatory activity is involved in the updating of motor plans. However, the effect of applying tACS to the SMA on motor learning has not yet been investigated. This study assessed the effects of applying tACS to the SMA on motor learning. Forty-two right-handed healthy adults (age 20.6 ± 0.5 years, 24 men and 18 women) were included. Motor learning was assessed using a visuomotor tracking task with pinch tension of the right thumb and right forefinger. Each trial lasted 60 s, and the error rates were measured. Conductive rubber electrodes were attached to the SMA and the left shoulder for tACS. Stimulation was applied at an intensity of 1.0 mA and frequencies of 70 and 20 Hz in the γ-tACS and β-tACS treatment groups, respectively. The sham group was only administered a fade-in/out. The visuomotor tracking task was performed for 10 trials before tACS and 10 trials after tACS. Two trials were conducted on the following day to determine motor skill retention. The average deviation measured during 60 s was considered the error value. Pre-stimulation learning rate was calculated as the change in error rate. Post-stimulation learning rate and retention rate were calculated as the change in error rate after stimulation and on the day after stimulation, respectively. In both the stimulation groups, differences in pre-stimulation learning, post-stimulation learning, and retention rates were not significant. However, in the γ-tACS group, baseline performance and pre-stimulation learning rate were positively correlated with post-stimulation learning rate. Therefore, applying γ-tACS to the SMA can increase post-stimulation learning rate in participants exhibiting low baseline performance and high pre-stimulation learning rate. Our findings suggest that motor learning can be effectively enhanced by applying γ-tACS to the SMA based on an individual's motor and learning abilities.
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Affiliation(s)
- Shunpei Yamamoto
- Graduate School, Niigata University of Health and Welfare, Niigata, Japan
| | - Shota Miyaguchi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan
| | - Takuma Ogawa
- Graduate School, Niigata University of Health and Welfare, Niigata, Japan
| | - Yasuto Inukai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan
| | - Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan
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Zhang X, Feng Y, Chen Z, Long J. Altered functional connectivity in the hippocampal and striatal systems after motor sequence learning consolidation in medial temporal lobe epilepsy individuals. J Neurophysiol 2024; 131:294-303. [PMID: 38230870 DOI: 10.1152/jn.00376.2023] [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: 10/11/2023] [Revised: 12/20/2023] [Accepted: 01/10/2024] [Indexed: 01/18/2024] Open
Abstract
Both the hippocampal and striatal systems participate in motor sequence learning (MSL) in healthy subjects, and the prominent role of the hippocampal system in sleep-related consolidation has been demonstrated. However, some pathological states may change the functional dominance between these two systems in MSL consolidation. To better understand the functional performance within these two systems under the pathological condition of hippocampal impairment, we compared the functional differences after consolidation between patients with left medial temporal lobe epilepsy (LmTLE) and healthy control subjects (HCs). We assessed participants' performance on the finger-tapping task (FTT) during acquisition (on day 1) and after consolidation during sleep (on day 2). All participants underwent an MRI scan (T1 and resting state) before each FTT. We found that the LmTLE group showed performance deficits in offline consolidation compared to the HC group. The LmTLE group exhibited structural changes, such as decreased gray matter volume (GMV) in the left hippocampus and increased GMV in the right putamen (striatum). Our results also revealed that whereas the main effect of consolidation was observed in the hippocampus-related functional connection in the HC group, it was only evident in the striatum-related functional loop in the LmTLE group. Our findings indicated that LmTLE patients may rely more on the striatal system for offline consolidation because of structural impairments in the hippocampus. Additionally, this compensatory mechanism may not fully substitute for the role of the impaired hippocampus itself.NEW & NOTEWORTHY Motor sequence learning (MSL) relies on both the hippocampal and striatal systems, but whether functional performance is altered after MSL consolidation when the hippocampus is impaired remains unknown. Our results indicated that whereas the main effect of consolidation was observed in the hippocampus-related functional connection in the healthy control (HC) group, it was only evident in the striatum-related functional loop in the left medial temporal lobe epilepsy (LmTLE) group.
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Affiliation(s)
- Xiaotong Zhang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Yanyun Feng
- Department of Radiology, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Zhuoming Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jinyi Long
- College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China
- Pazhou Lab, Guangzhou, Guangdong, China
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Kraeutner SN, Rubino C, Ferris JK, Rinat S, Penko L, Chiu L, Greeley B, Jones CB, Larssen BC, Boyd LA. Frontoparietal function and underlying structure reflect capacity for motor skill acquisition during healthy aging. Neurobiol Aging 2024; 133:78-86. [PMID: 37918189 DOI: 10.1016/j.neurobiolaging.2023.10.007] [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: 03/06/2023] [Revised: 09/22/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
While capacity for motor skill acquisition changes with healthy aging, there has been little consideration of how age-related changes in brain function or baseline brain structure support motor skill acquisition. We examined: (1) age-dependent changes in functional reorganization related to frontoparietal regions during motor skill acquisition, and (2) whether capacity for motor skill acquisition relates to baseline white matter microstructure in frontoparietal tracts. Healthy older and younger adults engaged in 4 weeks of skilled motor practice. Resting-state functional connectivity (rsFC) assessed functional reorganization before and after practice. Diffusion tensor imaging indexed microstructure of a frontoparietal tract at baseline, generated by rsFC seeds. Motor skill acquisition was associated with decreases in rsFC in healthy older adults and increases in rsFC in healthy younger adults. Frontoparietal tract microstructure was lower in healthy older versus younger adults, yet it was negatively associated with rate of skill acquisition regardless of group. Findings indicate that age-dependent alterations in frontoparietal function and baseline structure of a frontoparietal tract reflect capacity for motor skill acquisition.
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Affiliation(s)
- Sarah N Kraeutner
- Department of Psychology, University of British Columbia, Kelowna, British Columbia, Canada; Djavad Mowafaghian, Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.
| | - Cristina Rubino
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer K Ferris
- Gerontology Research Centre, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Shie Rinat
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lauren Penko
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Larissa Chiu
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Brian Greeley
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christina B Jones
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Beverley C Larssen
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lara A Boyd
- Djavad Mowafaghian, Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
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Takeda S, Miyamoto R. A randomized controlled trial of changes in resting-state functional connectivity associated with short-term motor learning of chopstick use with the non-dominant hand. Behav Brain Res 2023; 452:114599. [PMID: 37506851 DOI: 10.1016/j.bbr.2023.114599] [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: 03/05/2023] [Revised: 07/15/2023] [Accepted: 07/24/2023] [Indexed: 07/30/2023]
Abstract
INTRODUCTION This study identified the offline brain networks associated with motor learning of non-dominant hand chopstick use within-session. METHODS 40 healthy right-handed adults were randomly assigned to the practice and control groups (20 each). The performance, resting-state functional connectivity (RSFC), and their correlation were compared within and between groups. Both groups repeated 9 cycles of 30 s task and rest. During the task, the practice group performed the chopstick-use practice with their left hand, while the control group held chopsticks without acquiring any skills. During the rest, both groups fixated their gaze on a fixation point. The number of times candies were moved using chopsticks with the left hand in 30 s was used to evaluate the performance. RSFC was obtained by resting-state fMRI scanning and extracting Z-scores between the right primary motor cortex and all other brain regions. RESULTS Both the groups improved in the post-task performance; the practice group improved more. The RSFC of the two networks increased in the practice group. One network was the RSFC between the right M1 and the right cerebellar Crus I, positively correlated with performance in the post-task. Another was the RSFC between the right M1 and the left cerebellar Crus II, positively correlated with skills in the amount of change pre- and post-task. CONCLUSION Offline enhancement of RSFC in these networks was shown to contribute to early chopstick-use motor learning with the left hand. These results serve as a basis for future studies on compensatory networks in individuals with stroke.
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Affiliation(s)
- Sayori Takeda
- Department of Occupational Therapy, Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo, Japan.
| | - Reiko Miyamoto
- Department of Occupational Therapy, Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo, Japan; Division of Occupational Therapy, Faculty of Health Science, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo, Japan
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8
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Mary A, Bastin C, Lina JM, Rauchs G. Editorial: The impact of age-related changes in brain network organization and sleep on memory. Front Aging Neurosci 2022; 14:1049278. [PMID: 36268189 PMCID: PMC9577460 DOI: 10.3389/fnagi.2022.1049278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 12/01/2022] Open
Affiliation(s)
- Alison Mary
- UR2NF—Neuropsychology and Functional Neuroimaging Research Unit at CRCN - Center for Research in Cognition and Neurosciences and UNI—ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
- *Correspondence: Alison Mary
| | - Christine Bastin
- GIGA-Cyclotron Research Centre In Vivo Imaging & Psychology and Neuroscience of Cognition, University of Liège, Liège, Belgium
| | - Jean-Marc Lina
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
- Department of Electrical Engineering, École de Technologie Supérieure, Montreal, QC, Canada
- Centre de Recherches Mathématiques, Université de Montréal, Montreal, QC, Canada
| | - Géraldine Rauchs
- Normandie Univ, University of Caen, Institut national de la santé et de la recherche médicale, U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie, Caen, France
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Connectivity in Large-Scale Resting-State Brain Networks Is Related to Motor Learning: A High-Density EEG Study. Brain Sci 2022; 12:brainsci12050530. [PMID: 35624919 PMCID: PMC9138969 DOI: 10.3390/brainsci12050530] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022] Open
Abstract
Previous research has shown that resting-state functional connectivity (rsFC) between different brain regions (seeds) is related to motor learning and motor memory consolidation. Using high-density electroencephalography (hdEEG), we addressed this question from a brain network perspective. Specifically, we examined frequency-dependent functional connectivity in resting-state networks from twenty-nine young healthy participants before and after they were trained on a motor sequence learning task. Consolidation was assessed with an overnight retest on the motor task. Our results showed training-related decreases in gamma-band connectivity within the motor network, and between the motor and functionally distinct resting-state networks including the attentional network. Brain-behavior correlation analyses revealed that baseline beta, delta, and theta rsFC were related to subsequent motor learning and memory consolidation such that lower connectivity within the motor network and between the motor and several distinct resting-state networks was correlated with better learning and overnight consolidation. Lastly, training-related increases in beta-band connectivity between the motor and the visual networks were related to greater consolidation. Altogether, our results indicate that connectivity in large-scale resting-state brain networks is related to—and modulated by—motor learning and memory consolidation processes. These finding corroborate previous seed-based connectivity research and provide evidence that frequency-dependent functional connectivity in resting-state networks is critically linked to motor learning and memory consolidation.
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10
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Roshchupkina L, Wens V, Coquelet N, de Tiege X, Peigneux P. Resting state fast brain dynamics predict interindividual variability in motor performance. Sci Rep 2022; 12:5340. [PMID: 35351907 PMCID: PMC8964712 DOI: 10.1038/s41598-022-08767-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 03/07/2022] [Indexed: 11/09/2022] Open
Abstract
Motor learning features rapid enhancement during practice then offline post-practice gains with the reorganization of related brain networks. We hypothesised that fast transient, sub-second variations in magnetoencephalographic (MEG) network activity during the resting-state (RS) reflect early learning-related plasticity mechanisms and/or interindividual motor variability in performance. MEG RS activity was recorded before and 20 min after motor learning. Hidden Markov modelling (HMM) of MEG power envelope signals highlighted 8 recurrent topographical states. For two states, motor performance levels were associated with HMM temporal parameters both in pre- and post-learning resting-state sessions. However, no association emerged with offline changes in performance. These results suggest a trait-like relationship between spontaneous transient neural dynamics at rest and interindividual variations in motor abilities. On the other hand, transient RS dynamics seem not to be state-dependent, i.e., modulated by learning experience and reflect neural plasticity, at least on the short timescale.
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Affiliation(s)
- Liliia Roshchupkina
- UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences, Avenue F.D. Roosevelt 50, 1050, Bruxelles, Belgium. .,UNI-ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Avenue F.D. Roosevelt 50, 1050, Bruxelles, Belgium. .,Laboratoire de Cartographie Fonctionnelle du Cerveau (LCFC), Université Libre de Bruxelles (ULB), Brussels, Belgium.
| | - Vincent Wens
- Laboratoire de Cartographie Fonctionnelle du Cerveau (LCFC), Université Libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicolas Coquelet
- Laboratoire de Cartographie Fonctionnelle du Cerveau (LCFC), Université Libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Xavier de Tiege
- UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences, Avenue F.D. Roosevelt 50, 1050, Bruxelles, Belgium.,Laboratoire de Cartographie Fonctionnelle du Cerveau (LCFC), Université Libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Philippe Peigneux
- UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences, Avenue F.D. Roosevelt 50, 1050, Bruxelles, Belgium.,UNI-ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Avenue F.D. Roosevelt 50, 1050, Bruxelles, Belgium
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11
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Samogin J, Rueda Delgado L, Taberna GA, Swinnen SP, Mantini D. Age-related differences of frequency-dependent functional connectivity in brain networks and their link to motor performance. Brain Connect 2022; 12:686-698. [DOI: 10.1089/brain.2021.0135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Jessica Samogin
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Laura Rueda Delgado
- Trinity College Institute of Neuroscience, 71434, Dublin, Ireland
- Cumulus Neuroscience, Ltd. , Dublin, Ireland
| | - Gaia Amaranta Taberna
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Stephan P. Swinnen
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute , Leuven, Belgium
| | - Dante Mantini
- Leuven, Belgium
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
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Aznárez-Sanado M, Eudave L, Martínez M, Luis EO, Villagra F, Loayza FR, Fernández-Seara MA, Pastor MA. Brain Activity and Functional Connectivity Patterns Associated With Fast and Slow Motor Sequence Learning in Late Middle Adulthood. Front Aging Neurosci 2022; 13:778201. [PMID: 35095468 PMCID: PMC8792532 DOI: 10.3389/fnagi.2021.778201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/22/2021] [Indexed: 11/13/2022] Open
Abstract
The human brain undergoes structural and functional changes across the lifespan. The study of motor sequence learning in elderly subjects is of particularly interest since previous findings in young adults might not replicate during later stages of adulthood. The present functional magnetic resonance imaging (fMRI) study assessed the performance, brain activity and functional connectivity patterns associated with motor sequence learning in late middle adulthood. For this purpose, a total of 25 subjects were evaluated during early stages of learning [i.e., fast learning (FL)]. A subset of these subjects (n = 11) was evaluated after extensive practice of a motor sequence [i.e., slow learning (SL) phase]. As expected, late middle adults improved motor performance from FL to SL. Learning-related brain activity patterns replicated most of the findings reported previously in young subjects except for the lack of hippocampal activity during FL and the involvement of cerebellum during SL. Regarding functional connectivity, precuneus and sensorimotor lobule VI of the cerebellum showed a central role during improvement of novel motor performance. In the sample of subjects evaluated, connectivity between the posterior putamen and parietal and frontal regions was significantly decreased with aging during SL. This age-related connectivity pattern may reflect losses in network efficiency when approaching late adulthood. Altogether, these results may have important applications, for instance, in motor rehabilitation programs.
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Affiliation(s)
- Maite Aznárez-Sanado
- School of Education and Psychology, University of Navarra, Pamplona, Spain
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - Luis Eudave
- School of Education and Psychology, University of Navarra, Pamplona, Spain
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - Martín Martínez
- School of Education and Psychology, University of Navarra, Pamplona, Spain
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - Elkin O. Luis
- School of Education and Psychology, University of Navarra, Pamplona, Spain
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - Federico Villagra
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
| | - Francis R. Loayza
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Faculty of Mechanical Engineering and Production Sciences (FIMCP), Escuela Superior Politecnica del Litoral (ESPOL), Guayaquil, Ecuador
| | - María A. Fernández-Seara
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - María A. Pastor
- Neuroimaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- School of Medicine, University of Navarra, Pamplona, Spain
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13
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Zuber P, Gaetano L, Griffa A, Huerbin M, Pedullà L, Bonzano L, Altermatt A, Tsagkas C, Parmar K, Hagmann P, Wuerfel J, Kappos L, Sprenger T, Sporns O, Magon S. Additive and interaction effects of working memory and motor sequence training on brain functional connectivity. Sci Rep 2021; 11:23089. [PMID: 34845312 PMCID: PMC8630199 DOI: 10.1038/s41598-021-02492-9] [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: 05/25/2021] [Accepted: 10/29/2021] [Indexed: 11/08/2022] Open
Abstract
Although shared behavioral and neural mechanisms between working memory (WM) and motor sequence learning (MSL) have been suggested, the additive and interactive effects of training have not been studied. This study aimed at investigating changes in brain functional connectivity (FC) induced by sequential (WM + MSL and MSL + WM) and combined (WM × MSL) training programs. 54 healthy subjects (27 women; mean age: 30.2 ± 8.6 years) allocated to three training groups underwent twenty-four 40-min training sessions over 6 weeks and four cognitive assessments including functional MRI. A double-baseline approach was applied to account for practice effects. Test performances were compared using linear mixed-effects models and t-tests. Resting state fMRI data were analysed using FSL. Processing speed, verbal WM and manual dexterity increased following training in all groups. MSL + WM training led to additive effects in processing speed and verbal WM. Increased FC was found after training in a network including the right angular gyrus, left superior temporal sulcus, right superior parietal gyrus, bilateral middle temporal gyri and left precentral gyrus. No difference in FC was found between double baselines. Results indicate distinct patterns of resting state FC modulation related to sequential and combined WM and MSL training suggesting a relevance of the order of training performance. These observations could provide new insight for the planning of effective training/rehabilitation.
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Affiliation(s)
- Priska Zuber
- Division of Cognitive Neuroscience, Faculty of Psychology, University of Basel, Basel, Switzerland
| | | | - Alessandra Griffa
- Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Center of Neuroprosthetics, Institute of Bioengineering, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland
| | - Manuel Huerbin
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
| | - Ludovico Pedullà
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy
- Italian Multiple Sclerosis Foundation, Scientific Research Area, Genoa, Italy
| | - Laura Bonzano
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Anna Altermatt
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
| | - Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Reha Rheinfelden, Rheinfelden, Switzerland
| | - Patric Hagmann
- Center of Neuroprosthetics, Institute of Bioengineering, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Till Sprenger
- Department of Neurology, DKD Helios Klinik, Wiesbaden, Germany
| | - Olaf Sporns
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
- Indiana University Network Science Institute, Indiana University, Bloomington, IN, USA
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
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14
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Fang Z, Smith DM, Albouy G, King BR, Vien C, Benali H, Carrier J, Doyon J, Fogel S. Differential Effects of a Nap on Motor Sequence Learning-Related Functional Connectivity Between Young and Older Adults. Front Aging Neurosci 2021; 13:747358. [PMID: 34776932 PMCID: PMC8582327 DOI: 10.3389/fnagi.2021.747358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/06/2021] [Indexed: 11/13/2022] Open
Abstract
In older adults, motor sequence learning (MSL) is largely intact. However, consolidation of newly learned motor sequences is impaired compared to younger adults, and there is evidence that brain areas supporting enhanced consolidation via sleep degrade with age. It is known that brain activity in hippocampal-cortical-striatal areas is important for sleep-dependent, off-line consolidation of motor-sequences. Yet, the intricacies of how both age and sleep alter communication within this network of brain areas, which facilitate consolidation, are not known. In this study, 37 young (age 20-35) and 49 older individuals (age 55-75) underwent resting state functional magnetic resonance imaging (fMRI) before and after training on a MSL task as well as after either a nap or a period of awake rest. Young participants who napped showed strengthening of functional connectivity (FC) between motor, striatal, and hippocampal areas, compared to older subjects regardless of sleep condition. Follow-up analyses revealed this effect was driven by younger participants who showed an increase in FC between striatum and motor cortices, as well as older participants who showed decreased FC between the hippocampus, striatum, and precuneus. Therefore, different effects of sleep were observed in younger vs. older participants, where young participants primarily showed increased communication in the striatal-motor areas, while older participants showed decreases in key nodes of the default mode network and striatum. Performance gains correlated with FC changes in young adults, and this association was much greater in participants who napped compared to those who stayed awake. Performance gains also correlated with FC changes in older adults, but only in those who napped. This study reveals that, while there is no evidence of time-dependent forgetting/deterioration of performance, older adults exhibit a completely different pattern of FC changes during consolidation compared to younger adults, and lose the benefit that sleep affords to memory consolidation.
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Affiliation(s)
- Zhuo Fang
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Dylan M Smith
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Genevieve Albouy
- Department of Movement Sciences, KU Leuven, Leuven, Belgium.,Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Bradley R King
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Catherine Vien
- Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Habib Benali
- Functional Neuroimaging Laboratory, INSERM, Paris, France
| | - Julie Carrier
- Department of Psychology, University of Montreal, Montreal, QC, Canada.,Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montreal, Montreal, QC, Canada
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Functional Neuroimaging Unit, Centre de Recherche Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada.,Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Stuart Fogel
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Sleep Unit, University of Ottawa Institute of Mental Health Research at The Royal, Ottawa, ON, Canada.,University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
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15
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Van Dyck D, Deconinck N, Aeby A, Baijot S, Coquelet N, Trotta N, Rovai A, Goldman S, Urbain C, Wens V, De Tiège X. Resting-state functional brain connectivity is related to subsequent procedural learning skills in school-aged children. Neuroimage 2021; 240:118368. [PMID: 34242786 DOI: 10.1016/j.neuroimage.2021.118368] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022] Open
Abstract
This magnetoencephalography (MEG) study investigates how procedural sequence learning performance is related to prior brain resting-state functional connectivity (rsFC), and to what extent sequence learning induces rapid changes in brain rsFC in school-aged children. Procedural learning was assessed in 30 typically developing children (mean age ± SD: 9.99 years ± 1.35) using a serial reaction time task (SRTT). During SRTT, participants touched as quickly and accurately as possible a stimulus sequentially or randomly appearing in one of the quadrants of a touchscreen. Band-limited power envelope correlation (brain rsFC) was applied to MEG data acquired at rest pre- and post-learning. Correlation analyses were performed between brain rsFC and sequence-specific learning or response time indices. Stronger pre-learning interhemispheric rsFC between inferior parietal and primary somatosensory/motor areas correlated with better subsequent sequence learning performance and faster visuomotor response time. Faster response time was associated with post-learning decreased rsFC within the dorsal extra-striate visual stream and increased rsFC between temporo-cerebellar regions. In school-aged children, variations in functional brain architecture at rest within the sensorimotor network account for interindividual differences in sequence learning and visuomotor performance. After learning, rapid adjustments in functional brain architecture are associated with visuomotor performance but not sequence learning skills.
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Affiliation(s)
- Dorine Van Dyck
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Department of Neurology, Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université libre de Bruxelles (ULB), Brussels, Belgium.
| | - Nicolas Deconinck
- Department of Neurology, Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Alec Aeby
- Department of Neurology, Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université libre de Bruxelles (ULB), Brussels, Belgium; Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), Center for Research in Cognition and Neurosciences (CRCN) and ULB Neurosciences Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Simon Baijot
- Department of Neurology, Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université libre de Bruxelles (ULB), Brussels, Belgium; Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), Center for Research in Cognition and Neurosciences (CRCN) and ULB Neurosciences Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicolas Coquelet
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicola Trotta
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Antonin Rovai
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Serge Goldman
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Charline Urbain
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), Center for Research in Cognition and Neurosciences (CRCN) and ULB Neurosciences Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Vincent Wens
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Xavier De Tiège
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels, Belgium; Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
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16
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Veldman MP, Maurits NM, Mantini D, Hortobágyi T. Age-dependent modulation of motor network connectivity for skill acquisition, consolidation and interlimb transfer after motor practice. Clin Neurophysiol 2021; 132:1790-1801. [PMID: 34130247 DOI: 10.1016/j.clinph.2021.03.051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 02/19/2021] [Accepted: 03/22/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Age-related differences in neural strategies for motor learning are not fully understood. We determined the effects of age on the relationship between motor network connectivity and motor skill acquisition, consolidation, and interlimb transfer using dynamic imaging of coherent sources. METHODS Healthy younger (n = 24, 18-24 y) and older (n = 24, 65-87 y) adults unilaterally practiced a visuomotor task and resting-state electroencephalographic data was acquired before and after practice as well as at retention. RESULTS The results showed that right-hand skill acquisition and consolidation did not differ between age groups. However, age affected the ability to transfer the newly acquired motor skill to the non-practiced limb. Moreover, strengthened left- and right-primary motor cortex-related beta connectivity was negatively and positively associated with right-hand skill acquisition and left-hand skill consolidation in older adults, respectively. CONCLUSION Age-dependent modulations of bilateral resting-state motor network connectivity indicate age-specific strategies for the acquisition, consolidation, and interlimb transfer of novel motor tasks. SIGNIFICANCE The present results provide insights into the mechanisms underlying motor learning that are important for the development of interventions for patients with unilateral injuries.
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Affiliation(s)
- M P Veldman
- KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven, Belgium; University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands; KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium.
| | - N M Maurits
- University of Groningen, University Medical Center Groningen, Department of Neurology, Groningen, the Netherlands
| | - D Mantini
- KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven, Belgium; Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - T Hortobágyi
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands; Institute of Sport Sciences and Physical Education, Faculty of Sciences, University of Pécs, Pécs, Hungary; Somogy County Kaposi Mór Teaching Hospital, Kaposvár, Hungary
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17
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Prior cortical activity differences during an action observation plus motor imagery task related to motor adaptation performance of a coordinated multi-limb complex task. Cogn Neurodyn 2020; 14:769-779. [PMID: 33101530 DOI: 10.1007/s11571-020-09633-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 08/24/2020] [Accepted: 09/01/2020] [Indexed: 12/16/2022] Open
Abstract
Motor adaptation is the ability to develop new motor skills that makes performing a consolidated motor task under different psychophysical conditions possible. There exists a proven relationship between prior brain activity at rest and motor adaptation. However, the brain activity at rest is highly variable both between and within subjects. Here we hypothesize that the cortical activity during the original task to be later adapted is a more reliable and stronger determinant of motor adaptation. Consequently, we present a study to find cortical areas whose activity, both at rest and during first-person virtual reality simulation of bicycle riding, characterizes the subjects who did and did not adapt to ride a reverse steering bicycle, a complex motor adaptation task involving all limbs and balance. The results showed that cortical activity differences during the simulated task were higher, more significant, spatially larger, and spectrally wider than at rest for good performers. In this sense, the activity of the left anterior insula, left dorsolateral and ventrolateral inferior prefrontal areas, and left inferior premotor cortex (action understanding hub of the mirror neuron circuit) during simulated bicycle riding are the areas with the most descriptive power for the ability of adapting the motor task. Trials registration Trial was registered with the NIH Clinical Trials Registry (clinicaltrials.gov), with the registration number NCT02999516 (21/12/2016).
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18
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Miyaguchi S, Inukai Y, Takahashi R, Miyashita M, Matsumoto Y, Otsuru N, Onishi H. Effects of stimulating the supplementary motor area with a transcranial alternating current for bimanual movement performance. Behav Brain Res 2020; 393:112801. [PMID: 32652107 DOI: 10.1016/j.bbr.2020.112801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/20/2020] [Accepted: 07/06/2020] [Indexed: 11/27/2022]
Abstract
Transcranial alternating current stimulation (tACS) can regulate the frequency of neuronal activity in the cerebral cortex. Beta (β) activity in the supplementary motor area (SMA) is involved in motor planning and maintenance while gamma (γ) activity is involved in updating motor plans. We investigated the effect of tACS in the β- and γ-bands (β-tACS and γ- tACS) applied to the SMA on bimanual movement performance. This study included 32 right-handed healthy participants performing a Purdue Pegboard Test (PPT) during the administration of either β-tACS (20 Hz), γ-tACS (80 Hz), or sham stimulation over the SMA. Each participant performed nine PPT trials during each stimulation condition. The linear approximation of the number of parts and their differences for the 9 trials performed by each participant was calculated. A significant positive correlation was found between the difference from linear approximation for the β-tACS condition and the intercept of the linear approximation (p = 0.007, Pearson's r = 0.464), and significant negative correlation was found for the γ-tACS condition (p = 0.012, Pearson's r = -0.438). In the low-performance subgroup, the mean values of the difference from linear approximation under the γ-tACS condition was significantly larger than that under the β-tACS condition (p = 0.048). These results were opposite for the high-performance subgroup (p = 0.002) and sham group (p = 0.014). We demonstrated that the effect of tACS over the SMA depended on the stimulus frequency and the participant's motor performance and may modulate the maintenance and updating of motor plans.
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Affiliation(s)
- Shota Miyaguchi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan.
| | - Yasuto Inukai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Ryo Takahashi
- Department of Physical Therapy, Niigata University of Health and Welfare, Japan
| | - Mai Miyashita
- Department of Physical Therapy, Niigata University of Health and Welfare, Japan
| | - Yuya Matsumoto
- Department of Physical Therapy, Niigata University of Health and Welfare, Japan
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
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19
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Miyaguchi S, Inukai Y, Matsumoto Y, Miyashita M, Takahashi R, Otsuru N, Onishi H. Effects on motor learning of transcranial alternating current stimulation applied over the primary motor cortex and cerebellar hemisphere. J Clin Neurosci 2020; 78:296-300. [PMID: 32402616 DOI: 10.1016/j.jocn.2020.05.024] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 05/03/2020] [Indexed: 12/11/2022]
Abstract
Transcranial alternating current stimulation (tACS) is a non-invasive method of brain stimulation that modulates oscillatory neural activity in the cortical area under the electrodes. Gamma (γ)-tACS applied over the primary motor cortex (M1) and cerebellar hemisphere is known to improve motor performance; however, it is not yet known whether it affects motor learning. Thus, here we investigated whether γ-tACS applied over the M1 and cerebellar hemisphere affects motor learning. This study involved 30 healthy subjects (14 females, 16 males) performing a visuomotor control task (eight trials) during an administration of either γ-tACS or a sham stimulation (15 subjects per condition) over their right M1 and left cerebellar hemisphere. Each subject performed five trials after 24 h. The motor learning efficiency, motor learning retention and re-motor learning efficiency in each condition were compared. The motor learning retention in the γ-tACS condition was significantly higher than that in the sham condition (p = 0.031). Thus, subjects who were administered γ-tACS maintained their motor performance the next day better than sham-stimulated subjects. There was no significant difference between the conditions in the motor learning efficiency and those in the re-motor learning efficiency. Our results demonstrate that γ-tACS administered over the M1 and cerebellar hemisphere during a motor learning task can enhance motor learning retention.
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Affiliation(s)
- Shota Miyaguchi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan.
| | - Yasuto Inukai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Yuya Matsumoto
- Department of Physical Therapy, Niigata University of Health and Welfare, Japan
| | - Mai Miyashita
- Department of Physical Therapy, Niigata University of Health and Welfare, Japan
| | - Ryo Takahashi
- Department of Physical Therapy, Niigata University of Health and Welfare, Japan
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
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20
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Bulubas L, Sardesh N, Traut T, Findlay A, Mizuiri D, Honma SM, Krieg SM, Berger MS, Nagarajan SS, Tarapore PE. Motor Cortical Network Plasticity in Patients With Recurrent Brain Tumors. Front Hum Neurosci 2020; 14:118. [PMID: 32317952 PMCID: PMC7146050 DOI: 10.3389/fnhum.2020.00118] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 03/16/2020] [Indexed: 12/15/2022] Open
Abstract
Objective: The adult brain’s potential for plastic reorganization is an important mechanism for the preservation and restoration of function in patients with primary glial neoplasm. Patients with recurrent brain tumors requiring multiple interventions over time present an opportunity to examine brain reorganization. Magnetoencephalography (MEG) is a noninvasive imaging modality that can be used for motor cortical network mapping which, when performed at regular intervals, offers insight into this process of reorganization. Utilizing MEG-based motor mapping, we sought to characterize the reorganization of motor cortical networks over time in a cohort of 78 patients with recurrent glioma. Methods: MEG-based motor cortical maps were obtained by measuring event-related desynchronization (ERD) in ß-band frequency during unilateral index finger flexion. Each patient presented at our Department at least on two occasions for tumor resection due to tumor recurrence, and MEG-based motor mapping was performed as part of preoperative assessment before each surgical resection. Whole-brain activation patterns from first to second MEG scan (obtained before first and second surgery) were compared. Additionally, we calculated distances of activation peaks, which represent the location of the primary motor cortex (MC), to determine the magnitude of movement in motor eloquent areas between the first and second MEG scan. We also explored which demographic, anatomic, and pathological factors influence these shifts. Results: The whole-brain activation motor maps showed a subtle movement of the primary MC from first to second timepoint, as was confirmed by the determination of motor activation peaks. The shift of ipsilesional MC was directly correlated with a frontal-parietal tumor location (p < 0.001), presence of motor deficits (p = 0.021), and with a longer period between MEG scans (p = 0.048). Also, a disengagement of wide areas in the contralesional (ipsilateral to finger movement) hemisphere at the second time point was observed. Conclusions: MEG imaging is a sensitive method for depicting the plasticity of the motor cortical network. Although the location of the primary MC undergoes only subtle changes, appreciable shifts can occur in the setting of a stronger and longer impairment of the tumor on the MC. The ipsilateral hemisphere may serve as a reservoir for functional recovery.
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Affiliation(s)
- Lucia Bulubas
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurosurgery and TUM-Neuroimaging Center, Klinikum Rechts der Isar, Technische Universität (TU), Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians Universität (LMU), Munich, Germany.,International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Nina Sardesh
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Tavish Traut
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Anne Findlay
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Danielle Mizuiri
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Susanne M Honma
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Sandro M Krieg
- Department of Neurosurgery and TUM-Neuroimaging Center, Klinikum Rechts der Isar, Technische Universität (TU), Munich, Germany
| | - Mitchel S Berger
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Srikantan S Nagarajan
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Phiroz E Tarapore
- Biomagnetic Imaging Lab, Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, United States.,Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
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21
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Paired Associative Stimulation Rewired: A Novel Paradigm to Modulate Resting-State Intracortical Connectivity. JOURNAL OF MOTOR LEARNING AND DEVELOPMENT 2020. [DOI: 10.1123/jmld.2018-0054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Recent neuroimaging research has demonstrated that resting-state intracortical connectivity (i.e., the shared communication between two brain regions) can serve as a robust predictor of motor performance and learning. Theoretically, direct modulation of resting-state intracortical connectivity within the motor system could then improve motor performance and learning. However, previous neuromodulation techniques such as repetitive Transcranial Magnetic Stimulation may be limited in the capacity to modulate targeted intracortical connectivity. Paired Associative Stimulation (PAS) has shown efficacy in facilitating connectivity primarily between the central and peripheral nervous system based on the neuroplasticity mechanism of Spike Timing Dependent Plasticity. It may therefore be plausible for a reconfigured corticocortical PAS paradigm to modulate resting-state intracortical connectivity using a dual stimulator methodology over specific cortical nodes. However, potential theoretical and technological considerations of such a paradigm first need to be addressed prior to application for the purposes of manipulating motor behavior. We posit a corticocortical PAS paradigm used in conjunction with resting-state electroencephalography to demonstrate efficacy of potentiating motor learning associated resting-state intracortical connectivity within the human brain. Here we provide a precise PAS/EEG experimental design, details on data analysis, recommendations for maintaining scientific rigor, and preliminary proof of principle within a single-subject.
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22
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Sugata H, Yagi K, Yazawa S, Nagase Y, Tsuruta K, Ikeda T, Nojima I, Hara M, Matsushita K, Kawakami K, Kawakami K. Role of beta-band resting-state functional connectivity as a predictor of motor learning ability. Neuroimage 2020; 210:116562. [DOI: 10.1016/j.neuroimage.2020.116562] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 12/27/2019] [Accepted: 01/14/2020] [Indexed: 01/12/2023] Open
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23
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Edde M, Di Scala G, Dupuy M, Dilharreguy B, Catheline G, Chanraud S. Learning-driven cerebellar intrinsic functional connectivity changes in men. J Neurosci Res 2019; 98:668-679. [PMID: 31762075 DOI: 10.1002/jnr.24555] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 10/18/2019] [Accepted: 10/27/2019] [Indexed: 12/22/2022]
Abstract
Learning involves distributed but coordinated activity among the widespread connected brain areas. Increase in areas connections' strength may be established offline, that is, aside from the task itself, in a resting-state. The resulting functional connectivity may hence constitute a neural trace of the learning episode. The present study examined whether a conditional visuomotor learning task previously shown to activate the cerebellum would modify cerebellar intrinsic connectivity in groups of young and older male subjects. In the group of young subjects, resting-state connectivity within several cerebellar networks (fronto-cerebellar, temporo-cerebellar, cerebello-cerebellar) was modified following the task. In most cases, modulation resulted in increased anticorrelations between cerebellar and cortical areas and the amplitude of changes was correlated with learning efficacy. The group of older subjects drastically differed, with sparser modifications of resting-state functional connectivity and no cerebellar networks involved. The findings of this exploratory study indicate that associative learning modifies the strength of intrinsic connectivity in young subjects but to a lesser degree in older subjects. They further suggest that functional connectivity within cerebellar networks may play an operative role in this kind of learning.
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Affiliation(s)
- Manon Edde
- Laboratoire Neurobiologie et Vie Quotidienne, EPHE, PSL Research University, Bordeaux, France
| | - Georges Di Scala
- UMR 5287, Institut de Neurosciences Intégratives et Cognitives d'Aquitaine, Neuroimagerie et Cognition Humaine, CNRS, Université de Bordeaux, Bordeaux, France
| | - Maud Dupuy
- UMR 5287, Institut de Neurosciences Intégratives et Cognitives d'Aquitaine, Neuroimagerie et Cognition Humaine, CNRS, Université de Bordeaux, Bordeaux, France
| | - Bixente Dilharreguy
- UMR 5287, Institut de Neurosciences Intégratives et Cognitives d'Aquitaine, Neuroimagerie et Cognition Humaine, CNRS, Université de Bordeaux, Bordeaux, France
| | - Gwenaëlle Catheline
- Laboratoire Neurobiologie et Vie Quotidienne, EPHE, PSL Research University, Bordeaux, France.,UMR 5287, Institut de Neurosciences Intégratives et Cognitives d'Aquitaine, Neuroimagerie et Cognition Humaine, CNRS, Université de Bordeaux, Bordeaux, France
| | - Sandra Chanraud
- Laboratoire Neurobiologie et Vie Quotidienne, EPHE, PSL Research University, Bordeaux, France.,UMR 5287, Institut de Neurosciences Intégratives et Cognitives d'Aquitaine, Neuroimagerie et Cognition Humaine, CNRS, Université de Bordeaux, Bordeaux, France
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24
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King BR, van Ruitenbeek P, Leunissen I, Cuypers K, Heise KF, Santos Monteiro T, Hermans L, Levin O, Albouy G, Mantini D, Swinnen SP. Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks. Cereb Cortex 2019; 28:4390-4402. [PMID: 29136114 DOI: 10.1093/cercor/bhx297] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 10/13/2017] [Indexed: 12/17/2022] Open
Abstract
Aging is typically associated with substantial declines in motor functioning as well as robust changes in the functional organization of brain networks. Previous research has investigated the link between these 2 age-varying factors but examinations were predominantly limited to the functional organization within motor-related brain networks. Little is known about the relationship between age-related behavioral impairments and changes in functional organization at the whole brain (i.e., multiple network) level. This knowledge gap is surprising given that the decreased segregation of brain networks (i.e., increased internetwork connectivity) can be considered a hallmark of the aging process. Accordingly, we investigated the association between declines in motor performance across the adult lifespan (20-75 years) and age-related modulations of functional connectivity within and between resting state networks. Results indicated that stronger internetwork resting state connectivity observed as a function of age was significantly related to worse motor performance. Moreover, performance had a significantly stronger association with the strength of internetwork as compared with intranetwork connectivity, including connectivity within motor networks. These findings suggest that age-related declines in motor performance may be attributed to a breakdown in the functional organization of large-scale brain networks rather than simply age-related connectivity changes within motor-related networks.
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Affiliation(s)
- B R King
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - P van Ruitenbeek
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium.,Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - I Leunissen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - K Cuypers
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium.,Hasselt University, REVAL Rehabilitation Research Centre, Biomedical Research Institute, Faculty of Medicine and Life Sciences, Diepenbeek, Belgium
| | - K-F Heise
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - T Santos Monteiro
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - L Hermans
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - O Levin
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - G Albouy
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium
| | - D Mantini
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium.,ETH Zurich, Department of Health Sciences and Technology, Zurich, Switzerland.,Department of Experimental Psychology, Oxford University, Oxford, UK
| | - S P Swinnen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Biomedical Sciences, Leuven, Belgium.,KU Leuven, Leuven Research Institute for Neuroscience & Disease (LIND), Leuven, Belgium
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25
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McDonough IM, Letang SK, Erwin HB, Kana RK. Evidence for Maintained Post-Encoding Memory Consolidation Across the Adult Lifespan Revealed by Network Complexity. ENTROPY 2019. [PMCID: PMC7514376 DOI: 10.3390/e21111072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Memory consolidation is well known to occur during sleep, but might start immediately after encoding new information while awake. While consolidation processes are important across the lifespan, they may be even more important to maintain memory functioning in old age. We tested whether a novel measure of information processing known as network complexity might be sensitive to post-encoding consolidation mechanisms in a sample of young, middle-aged, and older adults. Network complexity was calculated by assessing the irregularity of brain signals within a network over time using multiscale entropy. To capture post-encoding mechanisms, network complexity was estimated using functional magnetic resonance imaging (fMRI) during rest before and after encoding of picture pairs, and subtracted between the two rest periods. Participants received a five-alternative-choice memory test to assess associative memory performance. Results indicated that aging was associated with an increase in network complexity from pre- to post-encoding in the default mode network (DMN). Increases in network complexity in the DMN also were associated with better subsequent memory across all age groups. These findings suggest that network complexity is sensitive to post-encoding consolidation mechanisms that enhance memory performance. These post-encoding mechanisms may represent a pathway to support memory performance in the face of overall memory declines.
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26
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Posttraining Alpha Transcranial Alternating Current Stimulation Impairs Motor Consolidation in Elderly People. Neural Plast 2019; 2019:2689790. [PMID: 31428143 PMCID: PMC6681583 DOI: 10.1155/2019/2689790] [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: 03/21/2019] [Revised: 05/27/2019] [Accepted: 06/13/2019] [Indexed: 11/23/2022] Open
Abstract
The retention of a new sequential motor skill relies on repeated practice and subsequent consolidation in the absence of active skill practice. While the early phase of skill acquisition remains relatively unaffected in older adults, posttraining consolidation appears to be selectively impaired by advancing age. Motor learning is associated with posttraining changes of oscillatory alpha and beta neuronal activities in the motor cortex. However, whether or not these oscillatory dynamics relate to posttraining consolidation and how they relate to the age-specific impairment of motor consolidation in older adults remains elusive. Transcranial alternating current stimulation (tACS) is a noninvasive brain stimulation technique capable of modulating such neuronal oscillations. Here, we examined whether tACS targeting M1 immediately following explicit motor sequence training is capable of modulating motor skill consolidation in older adults. In two sets of double-blind, sham-controlled experiments, tACS targeting left M1 was applied at either 10 Hz (alpha-tACS) or 20 Hz (beta-tACS) immediately after termination of a motor sequence training with the right (dominant) hand. Task performance was retested after an interval of 6 hours to assess consolidation of the training-acquired skill. EEG was recorded over left M1 to be able to detect local after-effects on oscillatory activity induced by tACS. Relative to the sham intervention, consolidation was selectively disrupted by posttraining alpha-tACS of M1, while posttraining beta-tACS of M1 had no effect on delayed retest performance compared to the sham intervention. No significant postinterventional changes of oscillatory activity in M1 were detected following alpha-tACS or beta-tACS. Our findings point to a frequency-specific interaction of tACS with posttraining motor memory processing and may suggest an inhibitory role of immediate posttraining alpha oscillations in M1 with respect to motor consolidation in healthy older adults.
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27
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Nackaerts E, D'Cruz N, Dijkstra BW, Gilat M, Kramer T, Nieuwboer A. Towards understanding neural network signatures of motor skill learning in Parkinson's disease and healthy aging. Br J Radiol 2019; 92:20190071. [PMID: 30982328 DOI: 10.1259/bjr.20190071] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
In the past decade, neurorehabilitation has been shown to be an effective therapeutic supplement for patients with Parkinson's disease (PD). However, patients still experience severe problems with the consolidation of learned motor skills. Knowledge on the neural correlates underlying this process is thus essential to optimize rehabilitation for PD. This review investigates the existing studies on neural network connectivity changes in relation to motor learning in healthy aging and PD and critically evaluates the imaging methods used from a methodological point of view. The results indicate that despite neurodegeneration there is still potential to modify connectivity within and between motor and cognitive networks in response to motor training, although these alterations largely bypass the most affected regions in PD. However, so far training-related changes are inferred and possible relationships are not substantiated by brain-behavior correlations. Furthermore, the studies included suffer from many methodological drawbacks. This review also highlights the potential for using neural network measures as predictors for the response to rehabilitation, mainly based on work in young healthy adults. We speculate that future approaches, including graph theory and multimodal neuroimaging, may be more sensitive than brain activation patterns and model-based connectivity maps to capture the effects of motor learning. Overall, this review suggests that methodological developments in neuroimaging will eventually provide more detailed knowledge on how neural networks are modified by training, thereby paving the way for optimized neurorehabilitation for patients.
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Affiliation(s)
| | - Nicholas D'Cruz
- 1Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Bauke W Dijkstra
- 1Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Moran Gilat
- 1Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Thomas Kramer
- 1Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Alice Nieuwboer
- 1Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
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28
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Miyaguchi S, Otsuru N, Kojima S, Yokota H, Saito K, Inukai Y, Onishi H. The effect of gamma tACS over the M1 region and cerebellar hemisphere does not depend on current intensity. J Clin Neurosci 2019; 65:54-58. [PMID: 30954355 DOI: 10.1016/j.jocn.2019.03.045] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 03/25/2019] [Indexed: 01/29/2023]
Abstract
Transcranial alternating current stimulation (tACS) has been shown to modulate neural connectivity in the cortical area under experimental electrodes. Although gamma tACS over the M1 region and the cerebellar hemisphere has been shown to improve motor performance, the optimal stimulation method has not been clarified. In this study, we aimed to clarify whether the effect of gamma tACS over M1 and the cerebellar hemisphere depends on current intensity. Twenty healthy adults performed a visuomotor control task using their right index finger for 30 s during tACS (70 Hz) over the left M1 and the right cerebellar hemisphere. Each subject participated in 10 trials, separated by intervals of 3 min. Three stimulation conditions were applied: (1) pseudo-stimulation (sham condition), (2) tACS with a current intensity of 1.0 mA and (3) tACS with a current intensity of 2.0 mA. Our results indicated that regardless of the current intensity, participants with the lower motor performance had better motor performance under both tACS conditions. Such a correlation was not observed under the sham condition. Collectively, our findings demonstrated that the effect of gamma tACS over M1 and the cerebellar hemisphere does not depend on current intensity, and that motor performance slightly improved in both tACS conditions for participants with lower motor performance.
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Affiliation(s)
- Shota Miyaguchi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan.
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Sho Kojima
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Hirotake Yokota
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Kei Saito
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Yasuto Inukai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
| | - Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Japan
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29
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Gamma tACS over M1 and cerebellar hemisphere improves motor performance in a phase-specific manner. Neurosci Lett 2019; 694:64-68. [DOI: 10.1016/j.neulet.2018.11.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/18/2018] [Accepted: 11/07/2018] [Indexed: 12/15/2022]
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30
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Resting-state connectivity after visuo-motor skill learning is inversely associated with offline consolidation in Parkinson's disease and healthy controls. Cortex 2018; 106:237-247. [DOI: 10.1016/j.cortex.2018.06.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 05/02/2018] [Accepted: 06/08/2018] [Indexed: 01/22/2023]
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31
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Lin CHJ, Yang HC, Knowlton BJ, Wu AD, Iacoboni M, Ye YL, Huang SL, Chiang MC. Contextual interference enhances motor learning through increased resting brain connectivity during memory consolidation. Neuroimage 2018; 181:1-15. [PMID: 29966717 DOI: 10.1016/j.neuroimage.2018.06.081] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 06/11/2018] [Accepted: 06/28/2018] [Indexed: 01/12/2023] Open
Abstract
Increasing contextual interference (CI) during practice benefits learning, making it a desirable difficulty. For example, interleaved practice (IP) of motor sequences is generally more difficult than repetitive practice (RP) during practice but leads to better learning. Here we investigated whether CI in practice modulated resting-state functional connectivity during consolidation. 26 healthy adults (11 men/15 women, age = 23.3 ± 1.3 years) practiced two sets of three sequences in an IP or RP condition over 2 days, followed by a retention test on Day 5 to evaluate learning. On each practice day, functional magnetic resonance imaging (fMRI) data were acquired during practice and also in a resting state immediately after practice. The resting-state fMRI data were processed using independent component analysis (ICA) followed by functional connectivity analysis, showing that IP on Day 1 led to greater resting connectivity than RP between the left premotor cortex and left dorsolateral prefrontal cortex (DLPFC), bilateral posterior cingulate cortices, and bilateral inferior parietal lobules. Moreover, greater resting connectivity after IP than RP on Day 1, between the left premotor cortex and the hippocampus, amygdala, putamen, and thalamus on the right, and the cerebellum, was associated with better learning following IP. Mediation analysis further showed that the association between enhanced resting premotor-hippocampal connectivity on Day 1 and better retention performance following IP was mediated by greater task-related functional activation during IP on Day 2. Our findings suggest that the benefit of CI to motor learning is likely through enhanced resting premotor connectivity during the early phase of consolidation.
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Affiliation(s)
- Chien-Ho Janice Lin
- Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, 112, Taiwan; Yeong-An Orthopedic and Physical Therapy Clinic, Taipei, 112, Taiwan.
| | - Ho-Ching Yang
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
| | - Barbara J Knowlton
- Department of Psychology, University of California, Los Angeles, CA, 90095, USA.
| | - Allan D Wu
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA; Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, CA, 90095, USA.
| | - Marco Iacoboni
- Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, CA, 90095, USA; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, 90095, USA.
| | - Yu-Ling Ye
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan; Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan.
| | - Shin-Leh Huang
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
| | - Ming-Chang Chiang
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
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32
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Kreitz S, de Celis Alonso B, Uder M, Hess A. A New Analysis of Resting State Connectivity and Graph Theory Reveals Distinctive Short-Term Modulations due to Whisker Stimulation in Rats. Front Neurosci 2018; 12:334. [PMID: 29875622 PMCID: PMC5974228 DOI: 10.3389/fnins.2018.00334] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 04/30/2018] [Indexed: 12/25/2022] Open
Abstract
Resting state (RS) connectivity has been increasingly studied in healthy and diseased brains in humans and animals. This paper presents a new method to analyze RS data from fMRI that combines multiple seed correlation analysis with graph-theory (MSRA). We characterize and evaluate this new method in relation to two other graph-theoretical methods and ICA. The graph-theoretical methods calculate cross-correlations of regional average time-courses, one using seed regions of the same size (SRCC) and the other using whole brain structure regions (RCCA). We evaluated the reproducibility, power, and capacity of these methods to characterize short-term RS modulation to unilateral physiological whisker stimulation in rats. Graph-theoretical networks found with the MSRA approach were highly reproducible, and their communities showed large overlaps with ICA components. Additionally, MSRA was the only one of all tested methods that had the power to detect significant RS modulations induced by whisker stimulation that are controlled by family-wise error rate (FWE). Compared to the reduced resting state network connectivity during task performance, these modulations implied decreased connectivity strength in the bilateral sensorimotor and entorhinal cortex. Additionally, the contralateral ventromedial thalamus (part of the barrel field related lemniscal pathway) and the hypothalamus showed reduced connectivity. Enhanced connectivity was observed in the amygdala, especially the contralateral basolateral amygdala (involved in emotional learning processes). In conclusion, MSRA is a powerful analytical approach that can reliably detect tiny modulations of RS connectivity. It shows a great promise as a method for studying RS dynamics in healthy and pathological conditions.
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Affiliation(s)
- Silke Kreitz
- Institute of Experimental and Clinical Pharmacology and Toxicology, FAU Erlangen-Nuremberg, Erlangen, Germany.,Department of Radiology, University Hospital Erlangen, FAU Erlangen-Nuremberg, Erlangen, Germany
| | - Benito de Celis Alonso
- Faculty of Mathematical & Physical Sciences, Benemerita Universidad Autonoma de Puebla, Puebla, Mexico
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, FAU Erlangen-Nuremberg, Erlangen, Germany
| | - Andreas Hess
- Institute of Experimental and Clinical Pharmacology and Toxicology, FAU Erlangen-Nuremberg, Erlangen, Germany
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Veldman MP, Maurits NM, Zijdewind I, Maffiuletti NA, van Middelkoop S, Mizelle JC, Hortobágyi T. Somatosensory electrical stimulation improves skill acquisition, consolidation, and transfer by increasing sensorimotor activity and connectivity. J Neurophysiol 2018; 120:281-290. [PMID: 29641307 DOI: 10.1152/jn.00860.2017] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The interaction between the somatosensory and motor systems is important for normal human motor function and learning. Enhancing somatosensory input using somatosensory electrical stimulation (SES) can increase motor performance, but the neuronal mechanisms underlying these effects are largely unknown. With EEG, we examined whether skill acquisition, consolidation, and interlimb transfer after SES was related to increased activity in sensorimotor regions, as assessed by the N30 somatosensory evoked potential or rather increased connectivity between these regions, as assessed by the phase slope index (PSI). Right- and left-hand motor performance and EEG measures were taken before, immediately after, and 24 h ( day 2) after either SES ( n = 12; 5 men) or Control ( n = 12; 5 men). The results showed skill acquisition and consolidation in the stimulated right hand immediately after SES (6%) and on day 2 (9%) and interlimb transfer to the nonstimulated left hand on day 2 relative to Control (8%, all P < 0.05). Increases in N30 amplitudes correlated with skill acquisition while PSI from electrodes that represent the posterior parietal and primary somatosensory cortex to the electrode representing the primary motor cortex correlated with skill consolidation. In contrast, interlimb transfer did not correlate with the EEG-derived neurophysiological estimates obtained in the present study, which may indicate the involvement of subcortical structures in interlimb transfer after SES. In conclusion, weak peripheral somatosensory inputs in the form of SES improve skill acquisition, consolidation, and interlimb transfer that coincide with different cortical adaptations, including enhanced N30 amplitudes and PSI. NEW & NOTEWORTHY The relationship between adaptations in synaptic plasticity and motor learning following somatosensory electrical stimulation (SES) is incompletely understood. Here, we used for the first time a multifactorial approach that examined skill acquisition, consolidation, and interlimb transfer following 20 min of SES. In addition, we quantified sensorimotor integration and the magnitude and direction of connectivity with EEG. Following artificial electrical stimulation, increases in sensorimotor integration and connectivity were found to correlate with skill acquisition and consolidation, respectively.
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Affiliation(s)
- Menno P Veldman
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences , Groningen , The Netherlands
| | - Natasha M Maurits
- Department of Neurology, University of Groningen, University Medical Center Groningen , Groningen , The Netherlands.,University of Groningen, Neuroimaging Center , Groningen , The Netherlands
| | - Inge Zijdewind
- Department of Neuroscience, University of Groningen, University Medical Center Groningen , Groningen , The Netherlands
| | | | - Stella van Middelkoop
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences , Groningen , The Netherlands
| | - J Chris Mizelle
- Department of Kinesiology, East Carolina University , Greenville, North Carolina
| | - Tibor Hortobágyi
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences , Groningen , The Netherlands
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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]
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Solesio-Jofre E, Beets IAM, Woolley DG, Pauwels L, Chalavi S, Mantini D, Swinnen SP. Age-Dependent Modulations of Resting State Connectivity Following Motor Practice. Front Aging Neurosci 2018; 10:25. [PMID: 29467646 PMCID: PMC5808218 DOI: 10.3389/fnagi.2018.00025] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 01/22/2018] [Indexed: 12/19/2022] Open
Abstract
Recent work in young adults has demonstrated that motor learning can modulate resting state functional connectivity. However, evidence for older adults is scarce. Here, we investigated whether learning a bimanual tracking task modulates resting state functional connectivity of both inter- and intra-hemispheric regions differentially in young and older individuals, and whether this has behavioral relevance. Both age groups learned a set of complex bimanual tracking task variants over a 2-week training period. Resting-state and task-related functional magnetic resonance imaging scans were collected before and after training. Our analyses revealed that both young and older adults reached considerable performance gains. Older adults even obtained larger training-induced improvements relative to baseline, but their overall performance levels were lower than in young adults. Short-term practice resulted in a modulation of resting state functional connectivity, leading to connectivity increases in young adults, but connectivity decreases in older adults. This pattern of age differences occurred for both inter- and intra-hemispheric connections related to the motor network. Additionally, long-term training-induced increases were observed in intra-hemispheric connectivity in the right hemisphere across both age groups. Overall, at the individual level, the long-term changes in inter-hemispheric connectivity correlated with training-induced motor improvement. Our findings confirm that short-term task practice shapes spontaneous brain activity differentially in young and older individuals. Importantly, the association between changes in resting state functional connectivity and improvements in motor performance at the individual level may be indicative of how training shapes the short-term functional reorganization of the resting state motor network for improvement of behavioral performance.
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Affiliation(s)
- Elena Solesio-Jofre
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,Department of Biological and Health Psychology, Autonomous University of Madrid, Madrid, Spain
| | - Iseult A M Beets
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Daniel G Woolley
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Lisa Pauwels
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Sima Chalavi
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.,Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,Leuven Research Institute for Neuroscience and Disease, KU Leuven, Leuven, Belgium
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Boutin A, Pinsard B, Boré A, Carrier J, Fogel SM, Doyon J. Transient synchronization of hippocampo-striato-thalamo-cortical networks during sleep spindle oscillations induces motor memory consolidation. Neuroimage 2017; 169:419-430. [PMID: 29277652 DOI: 10.1016/j.neuroimage.2017.12.066] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 12/20/2017] [Indexed: 01/04/2023] Open
Abstract
Sleep benefits motor memory consolidation. This mnemonic process is thought to be mediated by thalamo-cortical spindle activity during NREM-stage2 sleep episodes as well as changes in striatal and hippocampal activity. However, direct experimental evidence supporting the contribution of such sleep-dependent physiological mechanisms to motor memory consolidation in humans is lacking. In the present study, we combined EEG and fMRI sleep recordings following practice of a motor sequence learning (MSL) task to determine whether spindle oscillations support sleep-dependent motor memory consolidation by transiently synchronizing and coordinating specialized cortical and subcortical networks. To that end, we conducted EEG source reconstruction on spindle epochs in both cortical and subcortical regions using novel deep-source localization techniques. Coherence-based metrics were adopted to estimate functional connectivity between cortical and subcortical structures over specific frequency bands. Our findings not only confirm the critical and functional role of NREM-stage2 sleep spindles in motor skill consolidation, but provide first-time evidence that spindle oscillations [11-17 Hz] may be involved in sleep-dependent motor memory consolidation by locally reactivating and functionally binding specific task-relevant cortical and subcortical regions within networks including the hippocampus, putamen, thalamus and motor-related cortical regions.
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Affiliation(s)
- Arnaud Boutin
- Unité de Neuroimagerie Fonctionnelle, C.R.I.U.G.M., Montréal, QC, Canada; Université de Montréal, Montréal, QC, Canada.
| | - Basile Pinsard
- Unité de Neuroimagerie Fonctionnelle, C.R.I.U.G.M., Montréal, QC, Canada; Université de Montréal, Montréal, QC, Canada; Sorbonne Universités, UPMC Université Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - Arnaud Boré
- Unité de Neuroimagerie Fonctionnelle, C.R.I.U.G.M., Montréal, QC, Canada
| | - Julie Carrier
- Unité de Neuroimagerie Fonctionnelle, C.R.I.U.G.M., Montréal, QC, Canada; Université de Montréal, Montréal, QC, Canada; Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, Canada
| | - Stuart M Fogel
- School of Psychology, University of Ottawa, Ottawa, Canada
| | - Julien Doyon
- Unité de Neuroimagerie Fonctionnelle, C.R.I.U.G.M., Montréal, QC, Canada; Université de Montréal, Montréal, QC, Canada.
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Coquelet N, Mary A, Peigneux P, Goldman S, Wens V, De Tiège X. The electrophysiological connectome is maintained in healthy elders: a power envelope correlation MEG study. Sci Rep 2017; 7:13984. [PMID: 29070789 PMCID: PMC5656690 DOI: 10.1038/s41598-017-13829-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 09/25/2017] [Indexed: 12/21/2022] Open
Abstract
Functional magnetic resonance imaging (fMRI) studies report age-related changes in resting-state functional connectivity (rsFC), suggesting altered or reorganized connectivity patterns with age. However, age-related changes in neurovascular coupling might also partially account for altered connectivity patterns. Here, we used resting-state magnetoencephalography (MEG) and a connectome approach in carefully selected healthy young adults and elders. The MEG connectome was estimated as rsFC matrices involving forty nodes from six major resting-state networks. Source-level rsFC maps were computed in relevant frequency bands using leakage-corrected envelope correlations. Group differences were statistically assessed using non-parametric permutation tests. Our results failed to evidence significant age-related differences after correction for multiple comparisons in the α and the β bands both for static and dynamic rsFC, suggesting that the electrophysiological connectome is maintained in healthy ageing. Further studies should compare the evolution of the human brain connectome as estimated using fMRI and MEG in same healthy young and elder adults, as well as in ageing conditions associated with cognitive decline. At present, our results are in agreement with the brain maintenance theory for successful aging as they suggest that preserved intrinsic functional brain integration contributes to preserved cognitive functioning in healthy elders.
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Affiliation(s)
- N Coquelet
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.
| | - A Mary
- Neuropsychology and Functional Imaging Research Group (UR2NF), Centre for Research in Cognition and Neurosciences (CRCN), UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - P Peigneux
- Neuropsychology and Functional Imaging Research Group (UR2NF), Centre for Research in Cognition and Neurosciences (CRCN), UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - S Goldman
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of functional Neuroimaging, CUB-Hôpital Erasme, Université libre de Bruxelles, Brussels, Belgium
| | - V Wens
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of functional Neuroimaging, CUB-Hôpital Erasme, Université libre de Bruxelles, Brussels, Belgium
| | - X De Tiège
- Laboratoire de Cartographie fonctionnelle du Cerveau (LCFC), UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of functional Neuroimaging, CUB-Hôpital Erasme, Université libre de Bruxelles, Brussels, Belgium
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