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The Resting Human Brain and Motor Learning
Open accessAbstract
Functionally related brain networks are engaged even in the absence of an overt behavior. The role of this resting state activity, evident as low-frequency fluctuations of BOLD (see [1] for review, [2-4]) or electrical [5, 6] signals, is unclear. Two major proposals are that resting state activity supports introspective thought or supports responses to future events [7]. An alternative perspective is that the resting brain actively and selectively processes previous experiences [8]. Here we show that motor learning can modulate subsequent activity within resting networks. BOLD signal was recorded during rest periods before and after an 11 min visuomotor training session. Motor learning but not motor performance modulated a fronto-parietal resting state network (RSN). Along with the fronto-parietal network, a cerebellar network not previously reported as an RSN was also specifically altered by learning. Both of these networks are engaged during learning of similar visuomotor tasks [9-22]. Thus, we provide the first description of the modulation of specific RSNs by prior learning--but not by prior performance--revealing a novel connection between the neuroplastic mechanisms of learning and resting state activity. Our approach may provide a powerful tool for exploration of the systems involved in memory consolidation.
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“Clusters of brain regions involved in motor learning can be recognized, both at rest (Albert, Robertson, & Miall, 2009;Biswal, Yetkin, Haughton, & Hyde, 1995;Wu, Srinivasan, Kaur, & Cramer, 2014) and in-task (Hasan et al., 2013).”
From Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning (2016) · cites this paper as Albert, Robertson, & Miall, 2009
In the citing paper
“Importantly, functional connectivity is related to motor skill learning (Albert et al., 2009;Song, Gotts, Dayan, & Cohen, 2015) and to higher levels of motor skill (Di, Zhu, Jin, Wang, Ye, Zhou et al., 2012;Ito, Matsuda, & Shimojo, 2015;Kim, Han, Kim, & Han, 2015;Milton, Solodkin, Hluštík, & Small, 2007;Li, He, Huang, Zhang, Lu, Lai et al., 2015).”
From Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning (2016) · cites this paper as Albert et al., 2009
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Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
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Fast robust automated brain extraction
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The human brain is intrinsically organized into dynamic, anticorrelated functional networks
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Consistent resting-state networks across healthy subjects
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“We identified six previously reported RSNs (see Figures 2A–2E and 2H of [4]).”
BackgroundProbabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707 · cited 7×
“The change in strength of the two RSN components identified by PICA across participants within the test group (Figure 2, main paper) was not linearly correlated with behavioral measures of learning, but this does not imply there is no relationship.”
InfluentialMazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,417 · cited 3×
“Non-brain structures were removed from the high-resolution structural image using BET [5] and the transformation matrix used for the affine registration of this image to the ICBM152 brain [2] was applied to the PICA output from each session.”
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173
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Items 101–200 of 509
Raichlen, D. A., Bharadwaj, P. K., Fitzhugh, M. C., Haws, K. A., Torre, G.-A. A., Trouard, T. P., & Alexander, G. E. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00610 · Cited by 107
“For example, after a short (11 min) motor training session, subjects showed strengthened connections in the FPN compared with a control group (Albert et al., 2009).”
BackgroundThe brain and its resting state activity—Experimental and methodological implications
Northoff, G., Duncan, N. W., & Hayes, D. J. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.09.002 · Cited by 109
“Another study investigated the effects of motor learning on resting state activity (Albert et al., 2009).”
BackgroundIntrinsic signature of essential tremor in the cerebello-frontal network
Galléa, C., Popa, T., García-Lorenzo, D., Valabrègue, R., Legrand, A. P., Marais, L., Degos, B., Hubsch, C. A., Fernández-Vidal, S., Bardinet, É., et al. (2015) · Brain · doi:10.1093/brain/awv171 · Cited by 103
Anatomical differences and network characteristics underlying smoking cue reactivity
Zhang, X., Salmeron, B. J., Ross, T. J., Gu, H., Geng, X., Yang, Y., & Stein, E. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.063 · Cited by 101
“For example, motor learning modulates fronto-parietal resting state networks (Albert et al., 2009) and the performance on a language task affects resting state networks in regions associated with language (Waites et al., 2005).”
InfluentialHermans, E. J., Kanen, J. W., Tambini, A., Fernández, G., Davachi, L., & Phelps, E. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw145 · Cited by 102
“Such effects have been shown for numerous cognitive domains, including motor learning (Albert et al. 2009), visual perception (Lewis et al.”
BackgroundResting-State Network Topology Differentiates Task Signals across the Adult Life Span
Chan, M. Y., Alhazmi, F. H., Park, D. C., Savalia, N. K., & Wig, G. S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2406-16.2017 · Cited by 98
Changes in the brain intrinsic organization in both on-task state and post-task resting state
Wang, Z., Liu, J., Zhong, N., Qin, Y., Zhou, H., & Li, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.051 · Cited by 97
“Albert et al. (2009) and Lewis et al. (2009) related the post-taskmodulation in the resting-state functional connectivity to the recent learning experiences.”
BackgroundInfluentialBridging the gap between motor imagery and motor execution with a brain–robot interface
Bauer, R. H., Fels, M., Vukelić, M., Ziemann, U., & Gharabaghi, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.026 · Cited by 98
“Several measures of connectivity in resting state have been proposed to predict motor learning (Albert et al., 2009; Wu et al., 2014), task performance (Lee et al., 2011; Zhou et al., 2012) or personality traits (Langer et al., 2012; Putman, 2011).”
BackgroundLiu, D., Dong, Z.-Y., Zuo, X., Wang, J., & Zang, Y. (2013) · Neuroinformatics · doi:10.1007/s12021-013-9187-0 · Cited by 93
“…metrics can generate reproducible results when examining the modulation of resting state activity by diseases (Salvador et al. 2007; Zang et al. 2007; Lai et al. 2010; Wang et al. 2010) or by the subjects’ experiences (Albert et al. 2009; Barnes et al. 2009; Wang et al. 2009; Tambini et al. 2010).”
Peri-encoding predictors of memory encoding and consolidation
Cohen, N., Pell, L., Edelson, M. G., Ben-Yakov, A., Pine, A., & Dudai, Y. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.002 · Cited by 98
Changes in functional connectivity dynamics associated with vigilance network in taxi drivers
Shen, H., Li, Z., Qin, J., Liu, Q., Wang, L., Zeng, L., Li, H., & Hu, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.010 · Cited by 91
“It has been suggested that the pattern of resting-state FC can be altered by extensive training and recent experiences (Albert et al., 2009; Jolles et al., 2013; Lewis et al., 2009).”
BackgroundInfluentialStevens, W. D., Tessler, M. H., Peng, C. S., & Martin, A. D. (2015) · Human Brain Mapping · doi:10.1002/hbm.22764 · Cited by 95
“, 2009], are subtly modulated by recent or ongoing experience in functionally relevant networks [Albert et al., 2009; Gordon et al., 2014; Grigg and Grady, 2010; Hasson et al., 2009; Lewis et al., 2009; Stevens et al., 2010; Tambini et al., 2010; Tung et al., 2013; Waites et al., 2005], predict individual differences…”
BackgroundSpontaneous cognitive processes and the behavioral validation of time-varying brain connectivity
Kucyi, A., Tambini, A., Sadaghiani, S., Keilholz, S. D., & Cohen, J. R. (2018) · Network Neuroscience · doi:10.1162/netn_a_00037 · Cited by 95
Learning-Related Gray and White Matter Changes in Humans
Taubert, M., Villringer, A., & Ragert, P. (2011) · The Neuroscientist · doi:10.1177/1073858411419048 · Cited by 95
“…of anatomical (T1-weighted) MR images can be used to assess local changes in GM structure in the living human brain by comparing tissueclassified whole brain GM maps either in cross-sectional or longitudinal studies (Ashburner and Friston 2000; Ashburner and Friston 2005; Draganski and May 2008).”
MethodSakaki, M., Nga, L., & Mather, M. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00392 · Cited by 88
“Resting-state networks also change actively, reflecting dynamic functional networks activated by recent cognitive (Albert, Robertson, & Miall, 2009; Hasson, Nusbaum, & Small, 2009; Tambini, Ketz, & Davachi, 2010; Waites, Stanislavsky, Abbott, & Jackson, 2005) and emotional states (van Marle,…”
Maso, F. D., Desormeau, B., Boudrias, M., & Roig, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.029 · Cited by 92
“Furthermore, these modulations in the oscillatory activity of cortico-motor networks persist long after motor skill practice and continue to evolve during the consolidation of motor memory (Albert et al., 2009; Sami et al., 2014).”
BackgroundMindful movement and skilled attention
Clark, D., Schumann, F., & Mostofsky, S. H. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00297 · Cited by 102
“…resting state activity following the practice of a skill is influenced in specific ways related to functional activity in the practice of the skill, contributing to the consolidation of procedural memory (Miall and Robertson, 2006; Albert et al., 2009; Taubert et al., 2011; Vahdat et al., 2011).”
BackgroundKim, D., Park, B., & Park, H. (2012) · Human Brain Mapping · doi:10.1002/hbm.21517 · Cited by 86
“, task performance can induce changes in functional connectivity strength [Albert et al., 2009; Hasson et al., 2009; Lewis et al., 2009; Waites et al., 2005].”
BackgroundSpontaneous BOLD event triggered averages for estimating functional connectivity at resting state
Tagliazucchi, E., Balenzuela, P., Fraiman, D., Montoya, P., & Chialvo, D. R. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.11.020 · Cited by 81
“[2] Albert NB, Robertson EM, Miall RC (2009).”
Sigala, R., Haufe, S., Roy, D., Dinse, H. R., & Ritter, P. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00036 · Cited by 91
Debas, K., Carrier, J., Barakat, M., Marrelec, G., Bellec, P., Tahar, A. H., Karni, A., Ungerleider, L. G., Benali, H., & Doyon, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.022 · Cited by 82
“Such interpretation is consistent with previous work, which has shown that motor learning influences resting-state network activity (e.g., Albert et al., 2009, Vahdat et al., 2011), and that the functional dynamics observed during a resting state period can also impact subsequent motor learning…”
Human functional connectivity: new tools, unresolved questions
Buckner, R. L. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005987107 · Cited by 80
“Furthermore, learning can transiently modify the strength of intrinsic activity correlations measured during subsequent rest periods (14).”
BackgroundSpontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli
Betti, V., Penna, S. D., de Pasquale, F., & Corbetta, M. (2020) · The Neuroscientist · doi:10.1177/1073858420928988 · Cited by 97
Brain activity is not only for thinking
Laumann, T. O., & Snyder, A. Z. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.04.002 · Cited by 78
“Functional connectivity changes have been observed in the context of numerous training paradigms including visuomotor adaptation [88,89], Braille training in sighted individuals [90] visual perception practice [91], playing the Space Fortress videogame [92], and acquisition of episodic memory [93], among others [94].”
Demirakça, T., Cardinale, V., Dehn, S., Ruf, M., & Ende, G. (2015) · Neural Plasticity · doi:10.1155/2016/8240894 · Cited by 93
“Training duration varied from 11 minutes [15] to several weeks or months [20].”
BackgroundAlterations in resting functional connectivity due to recent motor task
Tung, K.-C., Uh, J., Mao, D., Xu, F., Xiao, G., & Lu, H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.006 · Cited by 76
“Albert et al. noted that independent-component-analysis (ICA) based connection strength (from 11-minute fcMRI data) increased following an 11-minute left-hand joystick target tracking task, which was attributed to neural plasticity associated with motor learning (Albert et al., 2009).”
InfluentialDisrupted resting‐state functional connectivity and its changing trend in migraine suffers
Liu, J., Zhao, L., Lei, F., Zhang, Y., Yuan, K., Gong, Q., Liang, F., & Tian, J. (2015) · Human Brain Mapping · doi:10.1002/hbm.22744 · Cited by 76
“Several studies demonstrated that persistent training could induce the strengthening of functional connectivity which refers to its improved functions, such as motor [Albert et al., 2009], visual [Lewis et al.”
BackgroundFiori, F., Chiappini, E., & Avenanti, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.002 · Cited by 74
“neuroplastic changes in premotor and motor areas and the connection between them (Nelles et al., 2001; Sun et al., 2007; Albert et al., 2009; Taubert et al., 2011; Wiestler and Diedrichsen, 2013; Horn et al., 2016).”
Abnormalities in personal space and parietal–frontal function in schizophrenia
Holt, D. J., Boeke, E. A., Coombs, G., DeCross, S. N., Cassidy, B. S., Stufflebeam, S. M., Rauch, S. L., & Tootell, R. B. H. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.07.008 · Cited by 73
“Given the evidence for activity-dependent plasticity of parietal-frontal circuits (Albert et al., 2009) and relationships between frontal network strengths and social activity levels (Bickart et al.”
BackgroundInterference with Existing Memories Alters Offline Intrinsic Functional Brain Connectivity
Censor, N., Horovitz, S. G., & Cohen, L. G. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.042 · Cited by 73
“…Cheeran et al., 2010; Eisenegger et al., 2008). fMRI enables to gain insight into intrinsic functional connectivity while the brain is at rest (Albert et al., 2009; Fox and Raichle, 2007; Tambini et al., 2010; Vahdat et al., 2011), evaluating the effects of interference with existing memories…”
InfluentialOni-Orisan, A., Kaushal, M., Li, W., Leschke, J., Ward, B. D., Vedantam, A., Kalinosky, B. T., Budde, M. D., Schmit, B. D., Li, S., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150351 · Cited by 72
Fjell, A. M., Sneve, M. H., Grydeland, H., Storsve, A. B., de Lange, A. G., Amlien, I. K., Røgeberg, O. J., & Walhovd, K. B. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.08.020 · Cited by 72
“For instance, using probabilistic independent component analysis of rsFC data, Albert et al. (2009) found a frontoparietal and a cerebellar component that increased in strength after motor espan Changes in Brain and slo, Pb. 1094 Blindern, 0317 0 01.”
BackgroundMethodInfluentialStructural and functional neuroplasticity in human learning of spatial routes
Keller, T. A., & Just, M. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.015 · Cited by 76
“Such intrinsic connectivity increases are found in humans for simple motor learning (Albert et al., 2009) and for learning to navigate in a virtual environment (Woolley et al., 2015).”
Dynamic Default Mode Network across Different Brain States
Lin, P., Yang, Y., Gao, J., Pisapia, N. D., Ge, S., Wang, X., Zuo, C. S., Levitt, J. J., & Niu, C. (2017) · Scientific Reports · doi:10.1038/srep46088 · Cited by 68
“Studies have shown that the post-task resting-state network might be shaped by the performance during a prior task or through training 44,45,49 .”
Stevens, W. D., Kahn, I., Wig, G. S., & Schacter, D. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr273 · Cited by 70
“2009) or recent behavior or experience (Waites et al. 2005; Albert et al. 2009; Hasson et al. 2009; Lewis et al. 2009; Grigg and Grady 2010; Stevens et al. 2010; Tambini et al. 2010).”
BackgroundUrbin, M. A., Hong, X., Lang, C. E., & Carter, A. R. (2014) · Neurorehabilitation and neural repair · doi:10.1177/1545968314522349 · Cited by 68
“The findings reported here reaffirm the behavioral significance of endogenous brain activity following hemiparetic stroke and invite the possibility that behavior-based therapies can promote dynamic changes in resting-state connectivity.(4,50)”
BackgroundLarge-Scale Brain Networks Underlying Language Acquisition in Early Infancy
Homae, F., Watanabe, H., Nakano, T., & Taga, G. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00093 · Cited by 71
“A recent fMRI study reported that motor learning by 11-min visuomotor training can modulate subsequent activity within resting-state networks (Albert et al., 2009).”
BackgroundGregory, M. D., Agam, Y., Selvadurai, C., Nagy, A. M., Vangel, M. G., Tucker, M. A., Robertson, E. M., Stickgold, R., & Manoach, D. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.044 · Cited by 64
“This choicewas based on prior findings that resting state activity in task-relevant networks is modified by learning (Albert et al., 2009; Vahdat et al., 2011) and correlates with subsequent recognition memory (Deuker et al., 2013; Stevens et al., 2010; Tambini et al., 2010).”
BackgroundSelf-citationExploring brain functional plasticity in world class gymnasts: a network analysis
Wang, J., Lü, M., Fan, Y., Wen, X., Zhang, R., Wang, B., Ma, Q., Zheng, S. M., Yong He, A., Wang, J., et al. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1116-6 · Cited by 69
“Also, the FPN has been shown to reorganize after longterm motor skill training (Jancke et al. 2009; Di et al. 2012; Taubert et al. 2011; Albert et al. 2009).”
BackgroundVisuomotor adaptation in head-mounted virtual reality versus conventional training
Anglin, J., Sugiyama, T., & Liew, S. (2017) · Scientific Reports · doi:10.1038/srep45469 · Cited by 68
Fling, B. W., Peltier, S., Bo, J., Welsh, R. C., & Seidler, R. D. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00038 · Cited by 72
Increased functional connectivity one week after motor learning and tDCS in stroke patients
Lefebvre, S., Dricot, L., Laloux, P., Desfontaines, P., Evrard, F., Peeters, A. P., Jamart, J., & Vandermeeren, Y. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.10.066 · Cited by 67
Resting state functional connectivity analysis for addiction medicine
Pariyadath, V., Gowin, J. L., & Stein, E. A. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.015 · Cited by 68
Spatially Distributed Effects of Mental Exhaustion on Resting-State FMRI Networks
Esposito, F., Otto, T., Zijlstra, F., & Goebel, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094222 · Cited by 75
“[11] in that within-network learning effects would mainly consist of increased resting state functional connectivity that were related to highly specific synaptic mechanisms stimulated by the learning task.”
Cerebellar—premotor cortex interactions underlying visuomotor adaptation
Tzvi, E., Koeth, F., Karabanov, A. N., Siebner, H. R., & Krämer, U. M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117142 · Cited by 55
“Using resting-state connectivity in healthy subjects, studies have shown functional changes in fronto-parietal-cerebellar networks (Albert et al., 2009; Sami and Miall, 2013) as well as motor cortex-cerebellar networks (Vahdat et al.”
BackgroundPrinciples of cortical areas and their implications for neuroimaging
Petersen, S. E., Seitzman, B. A., Nelson, S. M., Wig, G. S., & Gordon, E. M. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.008 · Cited by 77
Brain mechanisms for prepulse inhibition in adults with Tourette syndrome: Initial findings
Zebardast, N., Crowley, M. J., Bloch, M. H., Mayes, L. C., Wyk, B. V., Leckman, J. F., Pelphrey, K. A., & Swain, J. E. (2013) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2013.05.009 · Cited by 64
Gabard-Durnam, L. J., Gee, D. G., Goff, B., Flannery, J., Telzer, E. H., Humphreys, K. L., Lumian, D. S., Fareri, D. S., Caldera, C., & Tottenham, N. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0598-16.2016 · Cited by 62
“Notably, initial adult studies exploring training effects on mature, established resting-state connectivity patterns suggest that resting-state connectivity may continue to undergo refinement through different, short-term Hebbian-like mechanisms in maturity (Albert et al., 2009; Lewis et al., 2009; Tambini et al., 201…”
BackgroundAltered functional network connectivity relates to motor development in children born very preterm
Wheelock, M. D., Austin, N. C., Bora, S., Eggebrecht, A. T., Melzer, T. R., Woodward, L. J., & Smyser, C. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.051 · Cited by 64
“Further, the associations between regions within the motor network are modifiable, with long-term motor learning increasing the strength of primary and supplementarymotor connectivity (Albert et al., 2009; Xiong et al., 2009; Ma et al., 2011; Taubert et al., 2011).”
BackgroundPredicting future learning from baseline network architecture
Mattar, M. G., Wymbs, N. F., Bock, A. S., Aguirre, G. K., Grafton, S. T., & Bassett, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.037 · Cited by 67
“Over short time scales, resting state patterns are altered for up to 20 minutes following task performance (Barnes et al., 2009), being modulated by cognitive processes as diverse as short term memory (Gerraty et al., 2014) and visual-motor learning (Albert et al., 2009).”
BackgroundFeng, P., Feng, T., Chen, Z., & Lei, X. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst170 · Cited by 66
“Using resting-state functional connectivity (RSFC), recent memory consolidation studies also suggested that the functional connectivity between brain areas played an important role in memory consolidation (fronto-parietal network, hippocampal-lateral occipital network) (Albert et al., 2009; Tambini et al., 2010).”
BackgroundTranslational MR Neuroimaging of Stroke and Recovery
Mandeville, E. T., Ayata, C., Zheng, Y. Z., & Mandeville, J. B. (2016) · Translational Stroke Research · doi:10.1007/s12975-016-0497-z · Cited by 63
“Given that relatively subtle effects like learning can influence rfMRI data [97, 98], there certainly must be more to learn about stroke recovery from rfMRI.”
Mottaz, A., Corbet, T., Doganci, N., Magnin, C., Nicolo, P., Schnider, A., & Guggisberg, A. G. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.07.029 · Cited by 68
“Motor, perceptual, and phonological learning as well as memory tasks specifically modulate FC during (Sun et al., 2007) and after the tasks (Albert et al., 2009; Sami et al., 2014; Tambini et al., 2010; Veroude et al., 2010).”
BackgroundWegman, J., & Janzen, G. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00081 · Cited by 64
cTBS delivered to the left somatosensory cortex changes its functional connectivity during rest
Valchev, N. S., Ćurĉić‐Blake, B., Renken, R. J., Avenanti, A., Keysers, C., Gazzola, V., & Maurits, N. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.017 · Cited by 62
“, 2009) or a motor learning task (Albert et al., 2009), influences the resting-state network's activity.”
Cortical reorganization in Bell's palsy
Klingner, C. M., Volk, G. F., Maertin, A., Brodoehl, S., Burmeister, H. P., Guntinas‐Lichius, O., & Witte, O. W. (2011) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-2011-0592 · Cited by 60
“It is thought that the strength of functional connectivity reflects the strength of synchronization of neuronal activities that was shown to correlate with motor performance in healthy subjects (Sun et al., 2007; Albert et al., 2009) and after successful motor rehabilitation after stroke (Abutalebi et al.”
Roseman, L., Sereno, M. I., Leech, R., Kaelen, M., Orbán, C., McGonigle, J., Feilding, A., Nutt, D., & Carhart-Harris, R. L. (2016) · Human Brain Mapping · doi:10.1002/hbm.23224 · Cited by 59
“The retinotopic localizer took place after the resting-state scans to avoid a possible effect of the retinotopic localizer on the resting-state scans [Albert et al., 2009; Hasson et al., 2009; Waites et al., 2005].”
A New Modular Brain Organization of the BOLD Signal during Natural Vision
Kim, D., Kay, K., Shulman, G. L., & Corbetta, M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx175 · Cited by 58
“Consistent with this idea several studies have reported modifications of resting FC patterns after learning (Albert et al. 2009; Lewis et al. 2009; Tambini et al. 2010; Harmelech and Malach 2013).”
BackgroundResultLong-Term Effects of Attentional Performance on Functional Brain Network Topology
Breckel, T. P. K., Thiel, C. M., Bullmore, E. T., Zalesky, A., Patel, A. X., & Gießing, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074125 · Cited by 58
“Other studies reported that motor [17] and perceptual learning [18,19] can lead to longlasting changes in functional connectivity and a modulation of region specific plasticity.”
ResultSelf, cortical midline structures and the resting state: Implications for Alzheimer’s disease
Weiler, M., Northoff, G., Damasceno, B. P., & Balthazar, M. L. F. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.028 · Cited by 60
Motor Imagery Learning Modulates Functional Connectivity of Multiple Brain Systems in Resting State
Zhang, H., Long, Z., Ge, R., Xu, L., Jin, Z. H., Yao, L., & Liu, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085489 · Cited by 60
“In the subsequent analysis, connectivity strength and network strength were measured as in previous studies [7,8].”
BackgroundResultInfluentialRiedl, V., Valet, M., Wöller, A. A., Sorg, C., Vogel, D., Sprenger, T., Boecker, H., Wohlschläger, A. M., & Tölle, T. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.011 · Cited by 55
“But there have also been reports of immediate variations in the coherence of ICNs associated with task performance of humans (Fox et al., 2007; Seeley et al., 2007; Albert et al., 2009; Lewis et al., 2009).”
BackgroundGraph network analysis of immediate motor-learning induced changes in resting state BOLD
Sami, S. A. K., & Miall, R. C. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00166 · Cited by 57
“Based on our previous ICA results (Albert et al., 2009) and on a recent meta-analysis of the motor learning literature (Hardwick et al.”
BackgroundMethodResultInfluentialSelf-citationAccelerated long-term forgetting in aging and intra-sleep awakenings
Mary, A., Schreiner, S., & Peigneux, P. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00750 · Cited by 62
“…patterns during post-training sleep (Peigneux et al., 2003, 2004; Huber et al., 2004; Walker and Stickgold, 2006; Rauchs et al., 2008; Diekelmann and Born, 2010) and wakefulness (Peigneux et al., 2006; Albert et al., 2009; Lewis et al., 2009; Tambini et al., 2010; Wang et al., 2012).”
BackgroundInfluentialMary, A., Wens, V., Beeck, M. O. D., Leproult, R., Tiège, X. D., & Peigneux, P. (2016) · Human Brain Mapping · doi:10.1002/hbm.23428 · Cited by 54
“Other fMRI studies showed that the strength of spontaneous connectivity increases within the fronto-parietal and cerebellar networks immediately after a visuo-motor adaptation task [Albert et al., 2009].”
BackgroundA Review of Resting-State Analysis Methods
Azeez, A., & Biswal, B. B. (2017) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2017.06.001 · Cited by 58
van de Ven, V. G., Rotarska-Jagiela, A., Oertel‐Knöchel, V., & Linden, D. E. J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.04.012 · Cited by 52
“, 2013) or motor skill (Albert et al., 2009; Taubert et al., 2011; Zhang et al., 2014) are associated with larger increases in intrinsic connectivity within and between sensory, motor and higher-order RSNs after learning.”
Kim, H., Tegethoff, M., Meinlschmidt, G., Stalujanis, E., Belardi, A., Jo, S., Lee, J., Kim, D., Yoo, S., & Lee, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.066 · Cited by 54
Bolo, N. R., Musen, G., Simonson, D. C., Nickerson, L. D. H., Flores, V. L., Siracusa, T., Hager, B. M., Lyoo, I. K., Renshaw, P. F., & Jacobson, A. M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0319-15.2015 · Cited by 53
The malleable brain: plasticity of neural circuits and behavior – a review from students to students
Schaefer, N., Rotermund, C., Blumrich, E., Lourenco, M. V., Joshi, P., Hegemann, R. U., Jamwal, S., Ali, N., Romero, E. M. G., Sharma, S., et al. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14107 · Cited by 54
Resting-state connectivity predicts visuo-motor skill learning
Manuel, A. L., Guggisberg, A. G., Thézé, R., Turri, F., & Schnider, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.003 · Cited by 52
Individual predictors of sensorimotor adaptability
Seidler, R. D., Mulavara, A. P., Bloomberg, J. J., & Peters, B. T. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00100 · Cited by 49
“They found that the leg Fugl-Meyer score—a clinical scale of function—and the extent of motor cortex that was recruited during movements of the ipsilateral foot (assessed with functionalMRI) provided the best predictors of subsequent treatment gains (Burke et al., 2014).”
BackgroundVisual Learning Induces Changes in Resting-State fMRI Multivariate Pattern of Information
Guidotti, R., Gratta, C. D., Baldassarre, A., Romani, G. L., & Corbetta, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3920-14.2015 · Cited by 49
“, 2004), and learning (Waites et al., 2005; Albert et al., 2009; Lewis et al., 2009; Stevens et al., 2010; Tambini et al., 2010).”
Backgroundvan Dongen, E. V., Takashima, A., Barth, M., & Fernández, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.019 · Cited by 53
“Similar to earlier findings of state-related modulations of resting state connectivity (Albert et al., 2009; Hasson et al., 2009; Stevens et al., 2010; Tambini et al., 2010), we observed that fusiform connectivity was increased in light sleep compared to wake after learning.”
ResultSweitzer, M. M., Geier, C. F., Addicott, M. A., Denlinger, R. L., Raiff, B. R., Dallery, J., McClernon, F. J., & Donny, E. C. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.56 · Cited by 51
“Given that cognitive task performance can influence subsequent measures of rsFC (Albert et al, 2009), it is unknown to what extent group differences and abstinence effects on rsFC were due to residual effects of reactivity during the reward task.”
Vukelić, M., & Gharabaghi, A. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00181 · Cited by 51
“Thus, t-values exceeding a threshold of p 0.01 (uncorrected) where spatially clustered based on neighboring electrodes.”
InfluentialResting state networks and memory consolidation
Albert, N. B., Robertson, E. M., Mehta, P. R., & Miall, R. C. (2009) · Communicative & Integrative Biology · doi:10.4161/cib.2.6.9612 · Cited by 46
“We measured spontaneous patterns of activity within the resting brain before and after learning a new sensorimotor skill or sensorimotor performance, and showed that two circuits within the resting brain were specifically affected by sensorimotor learning.(7,8) One included the frontal and parietal cortices, the other…”
Self-citationAre brain networks stable during a 24-hour period?
Park, B., Kim, J. I., Lee, D., Jeong, S., Lee, J. D., & Park, H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.049 · Cited by 50
“The strength of the network including the frontal and parietal areas could be modulated by cognitive control and decision making process such as motor learning (Albert et al., 2009).”
BackgroundLefebvre, S., Dricot, L., Gradkowski, W., Laloux, P., & Vandermeeren, Y. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.052 · Cited by 47
Iuculano, T., & Kadosh, R. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00038 · Cited by 47
“…cathodal electrode on the controlateral side of the parietal lobe, and not on the prefrontal cortex, not to affect the mechanisms that might relate to learning (Iuculano and Cohen Kadosh, 2013), and feedback/reward, which was provided during the learning phase (Duncan, 2001; Albert et al., 2009).”
BackgroundWoolley, D. G., Mantini, D., Coxon, J. P., D’Hooge, R., Swinnen, S. P., & Wenderoth, N. (2014) · Human Brain Mapping · doi:10.1002/hbm.22700 · Cited by 49
“Motor learning increased functional connectivity within a frontoparietal resting-state network when compared to the same motor task without learning [Albert et al., 2009].”
BackgroundMethodResultMuraskin, J., Dodhia, S., Lieberman, G., Garcia, J. O., Verstynen, T., Vettel, J. M., Sherwin, J. S., & Sajda, P. (2016) · Human Brain Mapping · doi:10.1002/hbm.23321 · Cited by 50
“, 2012] associated with learning [Albert et al., 2009; Lewis et al., 2009; Vincent, 2009] and cognition [Grigg and Grady, 2010; Hasson et al.”
BackgroundInfluentialSomatic and Reinforcement-Based Plasticity in the Initial Stages of Human Motor Learning
Sidarta, A., Vahdat, S., Bernardi, N. F., & Ostry, D. J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1767-16.2016 · Cited by 47
Bilingual Language Experience Shapes Resting-State Brain Rhythms
Bice, K., Yamasaki, B. L., & Prat, C. S. (2020) · Neurobiology of Language · doi:10.1162/nol_a_00014 · Cited by 46
Impact of the resolution of brain parcels on connectome-wide association studies in fMRI
Bellec, P., Benhajali, Y., Carbonell, F., Dansereau, C. L., Albouy, G., Pelland, M., Craddock, R. C., Collignon, O., Doyon, J., Stip, É., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.071 · Cited by 45
Philip, B. A., & Frey, S. H. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.05.016 · Cited by 45
Mawase, F., Bar‐Haim, S., & Shmuelof, L. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2733-16.2016 · Cited by 45
Mapping correlated neurological deficits after stroke to distributed brain networks
Siegel, J. S., Shulman, G. L., & Corbetta, M. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02525-7 · Cited by 44
“Moreover, learning and behavioral intervention produce measurable changes in FC in relevant cortical circuits and resting correlation is altered by learning and adaptation (Albert et al. 2009; Lewis et al. 2009; Tambini et al. 2010; SampaioBaptista et al. 2015; Newbold 2020).”
BackgroundTurrini, S., Fiori, F., Chiappini, E., Lucero, B. A., Santarnecchi, E., & Avenanti, A. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120027 · Cited by 44
“Remarkably, the functional coupling between these two nodes is highly flexible, shifting as a function of experiences ranging from motor training (Albert et al., 2009; Dayan et al., 2011; Taubert et al., 2011; Hamzei et al., 2012; Philip et al., 2016) to brain injuries (Nelles et al.”
Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network
Ge, R., Zhang, H., Li, Y., & Long, Z. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2332353 · Cited by 44
“Recently, a few fMRI studies investigating the impact of motor skill learning on resting-state networks have found changes in fronto-parietal and cerebellar networks following visuo-motor tracking [13] and dynamic balancing training [14], changes in the motor network following motor sequence learning [15] and changes…”
BackgroundLiu, Z., Grady, C. L., & Moscovitch, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.032 · Cited by 52
“In line with the animal literature, human functional neuroimaging studies have found that learning experiences can modulate resting-state brain connectivity (Albert et al., 2009; Deuker et al., 2013; Groen et al., 2011; Hasson et al., 2009; Urner et al., 2013; Wang et al., 2012; Zou et al., 2013), and that the HPC act…”
McGregor, H. E., & Gribble, P. L. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00275.2017 · Cited by 44
Functional organization of intrinsic connectivity networks in Chinese-chess experts
Duan, X., Long, Z., Chen, H., Liang, D., Qiu, L., Huang, X., Liu, T. C., & Gong, Q. (2014) · Brain Research · doi:10.1016/j.brainres.2014.02.033 · Cited by 45
“A recent study conducted by Albert et al. (2009) showed that motor learning modulated resting state networks in a positive manner, and another study performed by Lewis et al. (2009) demonstrated that visual perceptual learning modified the interaction and organization between functional networks.”
Villalta, J. I., Landi, S. M., Fló, A., & Della‐Maggiore, V. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht346 · Cited by 43
“This is in line with a large body of evidence suggesting that neural events leading to motor memory consolidation begin with practice but continue after training (Albert et al. 2009; see Dayan and Cohen 2011 for a recent review in motor skill learning).”
ResultCantou, P., Platel, H., Desgranges, B., & Groussard, M. (2017) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2017.08.003 · Cited by 44
Caudate Resting Connectivity Predicts Implicit Probabilistic Sequence Learning
Stillman, C. M., Gordon, E. M., Simon, J. R., Vaidya, C. J., Howard, D. V., & Howard, J. H. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0169 · Cited by 42
“…individual differences in the consolidation of learned information, such that individuals with superior performance on a preceding learning task display the greatest changes in rsFC from a pre-to postlearning resting scan (e.g., Albert et al., 2009; Vahdat et al., 2011; Wegman and Jan-zen, 2011).”
To Replay, Perchance to Consolidate
Genzel, L., & Robertson, E. M. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002285 · Cited by 46
“Learning and subsequently consolidating a motor skill memory leads to activity changes within brain areas that include the hippocampus, which have traditionally been considered part of the declarative memory system [28,36–38].”
BackgroundSelf-citationDella‐Maggiore, V., Landi, S. M., & Villalta, J. I. (2014) · The Neuroscientist · doi:10.1177/1073858414545228 · Cited by 47
Chand, T., Li, M., Jamalabadi, H., Wagner, G., Lord, A., Alizadeh, S., Danyeli, L., Herrmann, L., Walter, M., & Sen, Z. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00645 · Cited by 43
The predictive nature of spontaneous brain activity across scales and species
Dimakou, A., Pezzulo, G., Zangrossi, A., & Corbetta, M. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.009 · Cited by 49
Metadata
- Authors
- Albert, N. B., Robertson, E. M., & Miall, R. C.
- Affiliations
- University of Chicago (US)
- Beth Israel Deaconess Medical Center (US)
- University of Birmingham (GB)
- Corresponding author
- Miall, R. Chris
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 19
- Issue
- 12
- Pages
- 1023-1027
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC2701987
- OpenAlex
- W2117914711
- Cited by
- 510
- References
- 44
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 23 · 2023: 23 · 2022: 29 · 2021: 26 · 2020: 24 · 2019: 17 · 2018: 30 · 2017: 38 · 2016: 39 · 2015: 47 · 2014: 54 · 2013: 35 · 2012: 31
- FWCI
- 16.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Institutional Research Archive (University of Birmingham) (acceptedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (069439)
- National Institutes of Health (R01 NS051446)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- resting-state networks, motor learning, visuomotor training, frontoparietal network, cerebellar network, BOLD signal, neuroplasticity, memory consolidation
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Motor Skills, Psychomotor Performance, Random Allocation, Rest, Young Adult
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