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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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Consistent resting-state networks across healthy subjects
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BackgroundProbabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
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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×
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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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Dynamic functional connectivity: Promise, issues, and interpretations
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BackgroundToward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
“For instance, functional connectivity is modulated by cognitive (47) and emotional state (48), arousal, and sleep (26), whereas structural connectivity is grossly unaffected by such factors.”
BackgroundVan Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844
Neuroplasticity Subserving Motor Skill Learning
Dayan, E., & Cohen, L. G. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.008 · Cited by 1,408
“Overall, these studies suggest that functional connectivity in fronto-parietal networks supports consolidation after fast (Albert et al., 2009) and slow learning (Taubert et al.”
InfluentialSpreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.016 · Cited by 1,256
“The frontoparietal control network, composed of rostrolateral prefrontal cortex (RLPFC), middle frontal gyrus (MFG), anterior insula/frontal operculum (aIfO), dorsal anterior cingulate cortex (dACC), precuneus (PCu), and anterior inferior parietal lobule (aIPL), is anatomically interposed between the default and dorsa…”
InfluentialA Baseline for the Multivariate Comparison of Resting-State Networks
Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W. E., Segall, J. M., Silva, R. F., Havlíček, M., Rachakonda, S., Fries, J. F., Kalyanam, R., et al. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00002 · Cited by 1,329
“A greater level of basal activity in motor networks, as well as greater coactivation between different networks, may be related to increased use and coordination between these systems, as suggested by recent studies of motor learning and functional connectivity (Albert et al., 2009; Xiong et al., 2009).”
BackgroundWulf, G., & Lewthwaite, R. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0999-9 · Cited by 1,238
“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.”
BackgroundAdvances and pitfalls in the analysis and interpretation of resting-state FMRI data
Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 1,011
Disease and the brain's dark energy
Zhang, D., & Raichle, M. E. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.198 · Cited by 928
Learning sculpts the spontaneous activity of the resting human brain
Lewis, C. M., Baldassarre, A., Committeri, G., Romani, G. L., & Corbetta, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902455106 · Cited by 777
“(50), who demonstrated increased functional connectivity in the motor system only when subjects learn a novel task, but not when they repeat a familiar task with the same intensity.”
BackgroundZuo, X.-N., Kelly, C., Adelstein, J. S., Klein, D. F., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.080 · Cited by 744
Schizophrenia, neuroimaging and connectomics
Fornito, A., Zalesky, A., Pantelis, C., & Bullmore, E. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.090 · Cited by 716
“, 2007), and that they are affected by the performance of a prior task (Albert et al., 2009; Barnes et al., 2009; Lewis et al., 2009; Tambini et al., 2010) and induced changes in mood state (Harrison et al.”
BackgroundDynamic reconfiguration of the default mode network during narrative comprehension
Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016) · Nature Communications · doi:10.1038/ncomms12141 · Cited by 588
Zuo, X., & Xing, X.-X. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.05.009 · Cited by 678
Resting-state functional connectivity in normal brain aging
Ferreira, L. K., & Busatto, G. F. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.017 · Cited by 631
Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences
Tambini, A., Ketz, N., & Davachi, L. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.001 · Cited by 596
“Furthermore, Albert et al. (2009) found that connectivity in the default network, as well as in the cerebellum, is specifically enhanced during rest after a task requiring motor learning, demonstrating a relationship between learning and changes in resting connectivity, similar to changes seen in…”
InfluentialPhomsoupha, M., & Laffaye, G. (2015) · Sports Medicine · doi:10.1007/s40279-014-0287-2 · Cited by 539
“Few studies have analyzed badminton players’ ability to cope with the neural [141] and biomechanical constraints of gripping and swinging a badminton racket [142].”
BackgroundResting-state brain networks: literature review and clinical applications
Rosazza, C., & Minati, L. (2011) · Neurological Sciences · doi:10.1007/s10072-011-0636-y · Cited by 535
“Indeed, the temporal coherence of some components has been shown to be modulated by performing an active task immediately prior to resting-state study: this evidence suggests that the recent experience as well as consolidated abilities can leave ‘a memory trace’ and that, more generally, spontaneous fluctuations may b…”
BackgroundInfluentialPalaniyappan, L., & Liddle, P. F. (2012) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.100176 · Cited by 548
Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471
“Shaping of envelope ICMs by history of coupling during preceding tasks has been shown in several studies involving sensorimotor learning (Albert et al., 2009; Lewis et al., 2009) or memory encoding (Tambini et al., 2010).”
van Kesteren, M. T. R., Fernández, G., Norris, D. G., & Hermans, E. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914892107 · Cited by 449
Network scaling effects in graph analytic studies of human resting-state fMRI data
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Voelcker‐Rehage, C., & Niemann, C. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.028 · Cited by 481
Caligiore, D., Pezzulo, G., Baldassarre, G., Bostan, A. C., Strick, P. L., Doya, K., Helmich, R. C. G., Dirkx, M. F., Houk, J. C., Jörntell, H., et al. (2016) · The Cerebellum · doi:10.1007/s12311-016-0763-3 · Cited by 454
“We are using functional imaging to understand the co-activation of cerebral and cerebellar areas [129] and more recently to explore how their connectivity changes as a consequence of learning [130].”
BackgroundSelf-citationWang, J.-H., Zuo, X.-N., Gohel, S., Milham, M. P., Biswal, B. B., & He, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021976 · Cited by 416
“This may be related to variable mental states of participants across scans which induce variations in RSFC [19,20,21,22,23,24,25].”
BackgroundFox, M. D., Halko, M. A., Eldaief, M. C., & Pascual-Leone, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.035 · Cited by 395
“state fcMRI before and after tasks can circumvent this confound, an approach that has been used to document modulation of resting state functional connectivity by learning tasks (Albert et al., 2009; Lewis et al., 2009; Tambini et al., 2010).”
MethodImpact of mindfulness-based stress reduction training on intrinsic brain connectivity
Kilpatrick, L. A., Suyenobu, B. Y., Smith, S. R., Bueller, J. A., Goodman, T., Creswell, J. D., Tillisch, K., Mayer, E. A., & Naliboff, B. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.034 · Cited by 355
“Previous studies of training-related changes in intrinsic connectivity have demonstrated that, in general, brain networks recruited during training show robust changes in intrinsic connectivity (Albert et al., 2009; Lewis et al., 2009).”
BackgroundKrienen, F. M., Yeo, B. T. T., & Buckner, R. L. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0526 · Cited by 372
“However, reconfigurations can be directly induced by changing the behavioural task or behavioural context [14–39].”
BackgroundMennes, M., Kelly, C. A. M., Zuo, X., Martino, A. D., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.002 · Cited by 368
“Modulations in RSFC were found after learning (Albert et al., 2009; Lewis et al., 2009; Xiong et al., 2009), in relation to specific task demands (Barnes et al.”
BackgroundSegregated Systems of Human Brain Networks
Wig, G. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.006 · Cited by 374
Why use a connectivity-based approach to study stroke and recovery of function?
Carter, A. R., Shulman, G. L., & Corbetta, M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.070 · Cited by 333
“This belief is based on a growing literature in normal subjects (Albert et al., 2009; Hampson et al., 2006; Lewis et al., 2009; Tambini et al., 2010; van den Heuvel et al., 2009) showing that in healthy subjects behavioral parameters and learning are significantly correlated with patterns of resting functional connect…”
Clinical applications of the functional connectome
Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta, A. D., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.083 · Cited by 312
“Also suggestive of validity have been reports of changes in the functional connectome following learning in healthy volunteers (Albert et al., 2009; Lewis et al., 2009; Ma et al., 2011; Taubert et al., 2011).”
The Dynamical Balance of the Brain at Rest
Deco, G., & Corbetta, M. (2010) · The Neuroscientist · doi:10.1177/1073858409354384 · Cited by 323
Plasticity of brain networks in a randomized intervention trial of exercise training in older adults
Voss (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00032 · Cited by 841
“Another study showed that active learning was involved in enhancement of connectivity in resting state networks reflective of task-relevant regions in the learned task, while connectivity was not affected by mere rote performance of the same learned task (Albert et al., 2009).”
Spatial and Temporal Organization of the Individual Human Cerebellum
Marek, S. A., Siegel, J. S., Gordon, E. M., Raut, R. V., Gratton, C., Newbold, D. J., Ortega, M., Laumann, T. O., Adeyemo, B., Miller, D. B., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.010 · Cited by 291
“Human imaging studies of healthy subjects have demonstrated increased functional connectivity between the lateral cerebellum and the frontoparietal network soon after sensorimotor learning (Albert et al., 2009) and after a period of learning the serial reaction time task (Sami et al.”
Peña-Gómez, C., Sala‐Llonch, R., Junqué, C., Clemente, I. C., Dídac Vidal-piñeiro, A., Bargalló, N., Falcón, C., Valls‐Solé, J., Pascual‐Leone, Á., & Bartrés‐Faz, D. (2011) · Brain stimulation · doi:10.1016/j.brs.2011.08.006 · Cited by 302
“Similarly, Albert et al. 56 demonstrated increased functional connectivity in the motor system only when subjects learnt a novel task, but not when they repeated a familiar task with the same intensity, and Stevens et al. 57 observed increased correlations between the inferior frontal gyrus and…”
InfluentialLong-term effects of motor training on resting-state networks and underlying brain structure
Taubert, M., Lohmann, G., Margulies, D. S., Villringer, A., & Ragert, P. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.078 · Cited by 297
“For instance, learning a visuomotor tracking task enhanced IFC between frontal and parietal brain regions during subsequent resting wakefulness (Albert et al., 2009).”
BackgroundConcepts and principles in the analysis of brain networks
Wig, G. S., Schlaggar, B. L., & Petersen, S. E. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05947.x · Cited by 295
Hawellek, D. J., Hipp, J. F., Lewis, C., Corbetta, M., & Engel, A. K. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110024108 · Cited by 288
“J Neurol Neurosurg Psychiatry 68(2):157–161.”
BackgroundFunctionally Specific Changes in Resting-State Sensorimotor Networks after Motor Learning
Vahdat, S., Darainy, M., Milner, T. E., & Ostry, D. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2737-11.2011 · Cited by 271
“Brain areas involved in force-field learning have been studied previously by Shadmehr and Holcomb (1997) using positron emission tomography and under resting-state conditions by Albert et al. (2009).”
Polanía, R. H., Paulus, W., Antal, A., & Nitsche, M. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.085 · Cited by 257
“Using this approach, recent studies have demonstrated a modulation of resting-state components by motor learning and memory consolidation (Albert et al., 2009a,b).”
ResultBachtiar, V., Near, J., Johansen‐Berg, H., & Stagg, C. J. (2015) · eLife · doi:10.7554/elife.08789 · Cited by 261
“…2006) and anodal transcranial direct current stimulation (tDCS) applied to M1 (Stagg et al., 2009, 2011a) have previously been shown to decrease M1 GABA levels and to increase motor resting functional connectivity (Albert et al., 2009; Sehm et al., 2012; Amadi et al., 2014; Stagg et al., 2014).”
BackgroundStructure–function coupling in macroscale human brain networks
Fotiadis, P., Parkes, L., Davis, K. A., Satterthwaite, T. D., Shinohara, R. T., & Bassett, D. S. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00846-6 · Cited by 280
Rest-stimulus interaction in the brain: a review
Northoff, G., Qin, P., & Nakao, T. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.02.006 · Cited by 248
Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity
Margulies, D. S., Böttger, J., Long, X., Lv, Y., Kelly, C. A. M., Schäfer, A., Goldhahn, D., Abbushi, A., Milham, M. P., Lohmann, G., et al. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0228-5 · Cited by 256
A brief history of the resting state: The Washington University perspective
Snyder, A. Z., & Raichle, M. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.044 · Cited by 257
“Similar modulations have also been observed immediately following task performance (Albert et al., 2009; Stevens et al., 2010; Waites et al., 2005).”
InfluentialGuerra-Carrillo, B., Mackey, A. P., & Bunge, S. A. (2014) · The Neuroscientist · doi:10.1177/1073858414524442 · Cited by 251
The relation of ongoing brain activity, evoked neural responses, and cognition
Sadaghiani, S. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00020 · Cited by 242
Understanding Structural-Functional Relationships in the Human Brain
Wang, Z., Dai, Z., Gong, G., Zhou, C., & Yong He, A. (2014) · The Neuroscientist · doi:10.1177/1073858414537560 · Cited by 232
Tompary, A., & Davachi, L. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.005 · Cited by 235
Thompson, G. J., Magnuson, M. E., Merritt, M. D., Schwarb, H. D., Pan, W., McKinley, R. A., Tripp, L. D., Schumacher, E. H., & Keilholz, S. D. (2012) · Human Brain Mapping · doi:10.1002/hbm.22140 · Cited by 225
“Using the traditional analysis method of correlation between networks on the time scale of entire resting-state functional imaging runs [Albert et al., 2009; Kelly et al., 2008; Tambini et al., 2010; Wang et al., 2010] a significant relationship was shown between faster reaction times and anticorrelation between the d…”
BackgroundMethodInfluentialGao, Y., Ma, Y., Zhang, Q., Winder, A. T., Liang, Z., Antinori, L., Drew, P. J., & Zhang, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.069 · Cited by 226
“Indeed, RSFC in awake humans has been extensively used to reveal neural circuit function in both normal (Albert et al., 2009; Horovitz et al., 2009) and pathological conditions (Anand et al.”
BackgroundMethodLocal GABA concentration is related to network-level resting functional connectivity
Stagg, C. J., Bachtiar, V., Amadi, U., Gudberg, C., Ilie, A. S., Sampaio‐Baptista, C., O’Shea, J., Woolrich, M. W., Smith, S. M., Filippini, N., et al. (2014) · eLife · doi:10.7554/elife.01465 · Cited by 222
“, 2006), increases RSN functional connectivity (Albert et al., 2009).”
Training the developing brain: a neurocognitive perspective
Jolles, D., & Crone, E. A. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00076 · Cited by 236
“Moreover, training-related changes of functional 529 connectivity have been observed during resting-state (Albert et al., 2009;Lewis et al., 530 2009;Jolles et al., 2011), suggesting that changes of interregional interactions are not 531 necessarily specific to task conditions.”
BackgroundUpstream Dysfunction of Somatomotor Functional Connectivity After Corticospinal Damage in Stroke
Carter, A. R., Patel, K. R., Astafiev, S. V., Snyder, A. Z., Rengachary, J., Strube, M., Pope, A., Shimony, J. S., Lang, C. E., Shulman, G. L., et al. (2011) · Neurorehabilitation and neural repair · doi:10.1177/1545968311411054 · Cited by 216
Clustering of Resting State Networks
Lee, M. H., Hacker, C. D., Snyder, A. Z., Corbetta, M., Zhang, D., Leuthardt, E. C., & Shimony, J. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040370 · Cited by 203
“This view is supported by developmental [33] and learning studies [34,35].”
Functional brain connectivity at rest changes after working memory training
Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. R. B. (2013) · Human Brain Mapping · doi:10.1002/hbm.21444 · Cited by 183
“We argue that restingstate connectivity might not only be influenced by a pre- ceding task [e.g., Albert et al., 2009; Barnes et al., 2009] but can also be modified by (implicit or explicit) preparatory processes in anticipation of a task.”
BackgroundStevens, W. D., Buckner, R. L., & Schacter, D. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp270 · Cited by 195
“…that LF-BOLD fluctuations during rest are modulated by previous tasks within networks engaged during task performance (Waites et al. 2005; Albert et al. 2009; Hasson et al. 2009; Lewis et al. 2009); some providing support for the suggestion that resting-state activity may be involved in…”
BackgroundMethodResultInfluentialNatural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain
Betti, V., Penna, S. D., de Pasquale, F., Mantini, D., Marzetti, L., Romani, G. L., & Corbetta, M. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.022 · Cited by 191
Riedl, V., Kurcyus, K., Strobel, C., Tahmasian, M., Grimmer, T., Förster, S., Friston, K. J., Sorg, C., & Drzezga, A. E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0492-14.2014 · Cited by 193
Resting-State and Task-Based Functional Brain Connectivity in Developmental Dyslexia
Schurz, M., Wimmer, H., Richlan, F., Ludersdorfer, P., Klackl, J., & Kronbichler, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu184 · Cited by 192
“Our whole-brain analysis found no interactions between group and task (silent reading, phonological lexical decision, and rest) on connectivity of the left FFG.”
BackgroundUncovering Intrinsic Connectional Architecture of Functional Networks in Awake Rat Brain
Liang, Z., King, J. A., & Zhang, N. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4557-10.2011 · Cited by 185
“Recent studies have also delineated significant influences of various pathological conditions on RSFC (Greicius et al., 2007), indicating vital neurobiological and psychopathological relevance (Kennedy et al., 2006; Albert et al., 2009).”
BackgroundNeural substrates of motor memory consolidation depend on practice structure
Kantak, S. S., Sullivan, K. J., Fisher, B. E., Knowlton, B. J., & Winstein, C. J. (2010) · Nature Neuroscience · doi:10.1038/nn.2596 · Cited by 179
Cole, D. M., Beckmann, C. F., Long, C. J., Matthews, P. M., Durcan, M. J., & Beaver, J. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.251 · Cited by 184
“In order to control for potential differences in RSN functional connectivity affected by prior task performance (Albert et al., 2009), separately from the cognitive and clinical withdrawal symptoms of interest, accuracy scores in the most difficult condition of the information processing taskwere similarly included as…”
BackgroundMethodInfluentialEffects of working memory training on functional connectivity and cerebral blood flow during rest
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2013) · Cortex · doi:10.1016/j.cortex.2012.09.007 · Cited by 162
BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation
Hipp, J. F., & Siegel, M. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.049 · Cited by 166
“1368 Current Biology 25, 1368–1374, May 18, 2015 a2015 Elsevier L ‘‘resting-state’’ BOLD correlation structure reflects learning [7], conscious states [8], brain maturity [9], cognitive control, and intelligence [10], as well as neuropsychiatric diseases [2, 11–13].”
The secret life of predictive brains: what’s spontaneous activity for?
Pezzulo, G., Zorzi, M., & Corbetta, M. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.05.007 · Cited by 173
Thompson, G. J., Pan, W., Magnuson, M. E., Jaeger, D., & Keilholz, S. D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.029 · Cited by 160
“, 2006) and is also sensitive to individual variations that are linked to behavioral performance (Albert et al., 2009; Boly et al., 2007; Hampson et al., 2006; Thompson et al., 2012; Waites et al., 2005; Weissman et al., 2006).”
BackgroundAbnormal sleep spindles, memory consolidation, and schizophrenia
Manoach, D. S., & Stickgold, R. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095754 · Cited by 157
“Functional magnetic resonance imaging (fMRI) studies show that learning a task changes this wakeful resting state activity in task-relevant networks (Albert et al. 2009), and that these changes predict better recognition of the learned material later that same day (Tambini et al.”
BackgroundThe Time Course of Task-Specific Memory Consolidation Effects in Resting State Networks
Sami, S. A. K., Robertson, E. M., & Miall, R. C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4341-13.2014 · Cited by 152
“The networks engaged after the visuomotor learning task (Albert et al., 2009) appear to be members of previously identified”
BackgroundInfluentialSelf-citationFunctional interactions between intrinsic brain activity and behavior
Sadaghiani, S., & Kleinschmidt, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.100 · Cited by 147
“Albert et al. (2009) observed increased functional connectivity strength in the fronto-parietal topdown control ICN and a cerebellar ICN after few minutes of motor learning.”
BackgroundFornito, A., & Bullmore, E. T. (2010) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e328337d78d · Cited by 146
Changes occur in resting state network of motor system during 4weeks of motor skill learning
Ma, L., Narayana, S., Robin, D. A., Fox, P. T., & Xiong, J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.014 · Cited by 153
“Resting state data have been used to investigate both clinical (see Fox and Greicius, 2010; Greicius, 2008 for review) and non-clinical (e.g., Albert et al., 2009b; Biswal et al., 1995; Hampson et al., 2002; Jiang et al., 2004; Xiong et al., 1999, among many other studies) populations.”
BackgroundMethodInfluentialMegumi, F., Yamashita, A., Kawato, M., & Imamizu, H. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00160 · Cited by 143
“ORIGINAL RESEARCH published: 30 March 2015 doi: 10.3389/fnhum.2015.00160 Frontiers in Human Neuroscience | www.frontiersin.org 1 March 2015 | Volume 9 | Article 160 Edited by: Daniel S. Margulies, Max Planck Institute for Human Cognitive and Brain Sciences, Germany Reviewed by: Marco Taubert, Max-Planck-Institute for…”
BackgroundInfluentialKoyama, M. S., Kelly, C. A. M., Shehzad, Z. E., Penesetti, D., Castellanos, F. X., & Milham, M. P. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq005 · Cited by 150
“Even in adults, learning experiences (e.g., motor learning) can alter RSFC patterns (Albert et al. 2009; Xiong et al. 2009).”
BackgroundAnticorrelated resting-state functional connectivity in awake rat brain
Liang, Z., King, J. A., & Zhang, N. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.009 · Cited by 139
“, 2007), indicating its vital neurobiological and psychopathological relevance (Albert et al., 2009; Kennedy et al., 2006).”
BackgroundNeural plasticity and its contribution to functional recovery
Sharma, N., Claßen, J., & Cohen, L. G. (2013) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52901-5.00001-0 · Cited by 144
“The study of these networks represents a fertile area of research given their ability to experience neuroplastic changes, for example in relation to learning (Albert et al., 2009; Mantini et al., 2009).”
BackgroundStrengthening Connections: Functional Connectivity and Brain Plasticity
Kelly, C. A. M., & Castellanos, F. X. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9252-y · Cited by 132
“In one of the earliest studies to examine training-related plasticity in iFC, Albert et al. (2009) had participants perform a short (11 min) task in which they had to adapt their visuomotor movements to an altered cursorjoystick relationship that required progressively increasing compensation.”
MethodAltered Resting Brain Function and Structure in Professional Badminton Players
Di, X., Zhu, S., Jin, H., Pin, W., Ye, Z., Zhou, K., Zhuo, Y., & Rao, H. (2012) · Brain Connectivity · doi:10.1089/brain.2011.0050 · Cited by 136
“We argue that this finding may reflect different consequences of training phases between short-term training in Albert et al. (2009) and long-term athletic training in the present study.”
InfluentialFauvel, B., Groussard, M., Chételat, G., Fouquet, M., Landeau, B., Eustache, F., Desgranges, B., & Platel, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.065 · Cited by 136
“…et al. (2011) found that motor training reinforces resting-state functional connectivity within both a motor and a somatosensory network, while Albert et al. (2009) reported modulations in resting-state functional connectivity in the wake of new complex motor learning, but not after simple,…”
Janes, A. C., Nickerson, L. D. H., Frederick, B. B., & Kaufman, M. J. (2012) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2012.02.020 · Cited by 127
“Since cognitive task performance can impact subsequent measures of RSN function (Albert et al., 2009), it is possible that group RSN differences may have been a consequence of group differences in reactivity to smoking-related cues.”
BackgroundMapping resting-state brain networks in conscious animals
Zhang, N., Rane, P., Huang, W., Liang, Z., Kennedy, D. N., Frazier, J. A., & King, J. A. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.04.001 · Cited by 128
Dídac Vidal-piñeiro, A., eValls-Pedret, C., Fernández‐Cabello, S., Arenaza‐Urquijo, E. M., Sala-Llonch, R., Solana, E., Bargalló, N., Junqué, C., Ros, E., & Bartrés‐Faz, D. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00256 · Cited by 140
“While plastic changes are easily assessed using rs-fMRI techniques (Albert et al., 2009), it is well known that plastic interventions, such as those produced by cognitive or behavioral demands, are able to impact both WM (Engvig et al., 2012) and GM (Engvig et al., 2010) structure assessed with MRI…”
BackgroundMetabolic connectivity mapping reveals effective connectivity in the resting human brain
Riedl, V., Utz, L., Castrillón, G., Grimmer, T., Rauschecker, J. P., Ploner, M., Friston, K. J., Drzezga, A. E., & Sorg, C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513752113 · Cited by 121
Dynamic resting state functional connectivity in awake and anesthetized rodents
Liang, Z., Liu, X., & Zhang, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.013 · Cited by 122
“In addition, the plasticity of specific neural circuitries induced by neurobiological behaviors such as learning and memory has been repeatedly revealed by rsfMRI (Albert et al., 2009; Foster and Wilson, 2006; Horovitz et al., 2009).”
BackgroundLi, R., Zhu, X., Yin, S., Niu, Y., Zheng, Z., Huang, X., Wang, B., & Li, J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00039 · Cited by 123
“For example, Albert et al. (2009) and Hasson et al. (2009) demonstrated that resting-state DMN connectivity could be modulated by previous experiences, and Tambini et al. (2010) further demonstrated that modulated resting-state hippocampal-cortical connectivity after an encoding task can predict…”
BackgroundThe Acute Effects of Aerobic Exercise on the Functional Connectivity of Human Brain Networks
Weng, T. B., Pierce, G. L., Darling, W. G., Falk, D. M., Magnotta, V. A., & Voss, M. W. (2016) · Brain Plasticity · doi:10.3233/bpl-160039 · Cited by 122
“Furthermore, several studies have demonstrated that acute changes in resting-state FC reflect experiencedependent plasticity following experimental manipulations of learning and memory [26–28].”
BackgroundNeurocognitive biases and the patterns of spontaneous correlations in the human cortex
Harmelech, T., & Malach, R. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.014 · Cited by 122
Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network
Kaplan, R., Adhikari, M. H., Hindriks, R., Mantini, D., Murayama, Y., Logothetis, N. K., & Deco, G. (2016) · Current Biology · doi:10.1016/j.cub.2016.01.017 · Cited by 116
“The behavioral relevance of endogenous DMN activity remains elusive, despite an emerging literature correlating resting fMRI fluctuations with memory performance [4, 5]—particularly in DMN regions [6–8].”
BackgroundNeural correlates of personal space intrusion
Holt, D. J., Cassidy, B. S., Yue, X., Rauch, S. L., Boeke, E. A., Nasr, S., Tootell, R. B. H., & Coombs, G. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0686-13.2014 · Cited by 114
“This hypothesis is supported by previous evidence for activity-dependent plasticity of functional connectivity within frontoparietal (Albert et al., 2009) and lower-level visual (Baldassarre et al., 2012) networks, in response to motor and perceptual learning, respectively, and for associations…”
The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A Consensus Paper
Lang, E. J., Apps, R., Bengtsson, F., Cerminara, N. L., Zeeuw, C. I. D., Ebner, T. J., Heck, D. H., Jaeger, D., Jörntell, H., Kawato, M., et al. (2016) · The Cerebellum · doi:10.1007/s12311-016-0787-8 · Cited by 122
“Support for this idea is provided by a study done on human participants in which blood oxygen level dependent (BOLD) signals were measured during rest periods in between bouts of motor training [81].”
BackgroundChanges in functional connectivity and GABA levels with long-term motor learning
Sampaio‐Baptista, C., Filippini, N., Stagg, C. J., Near, J., Scholz, J., & Johansen‐Berg, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.032 · Cited by 119
“For instance, 11 min of motor training increased the strength of the fronto-parietal and the cerebellum resting state networks (RSNs) (Albert et al., 2009).”
BackgroundResultInfluentialHarmelech, T., Preminger, S., Wertman, E., & Malach, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5911-12.2013 · Cited by 110
Baldassarre, A., Ramsey, L., Rengachary, J., Zinn, K., Siegel, J. S., Metcalf, N. V., Strube, M., Snyder, A. Z., Corbetta, M., & Shulman, G. L. (2016) · Brain · doi:10.1093/brain/aww107 · Cited by 110
“But the fact that resting state FC can be modified over relatively short time periods by performing a task has suggested that resting state interactions between brain regions also reflect the frequency and past history of coactivation (Albert et al., 2009; Hasson et al., 2009; Lewis et al., 2009; Tambini et al., 2010).”
BackgroundInfluentialVoss, M. W., Prakash, R. S., Erickson, K. I., Boot, W. R., Basak, C., Neider, M. B., Simons, D. J., Fabiani, M., Gratton, G., & Kramer, A. F. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.052 · Cited by 116
“Also, consolidation following motor training that required continuous updating of the parameters for manually tracking a moving object, a form of VP training, was associated with increased synchrony among brain regions in a fronto-parietal brain network (Albert et al., 2009).”
Regional homogeneity of resting state fMRI signals predicts Stop signal task performance
Tian, L., Ren, J., & Zang, Y. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.098 · Cited by 102
“The subjects were required to perform the stop-signal task after RS-fMRI data acquisition for the consideration that RS-fMRI signals could possibly be modulated by preceding events (Albert et al., 2009; Tambini et al., 2010; Yan et al., 2009).”
MethodBrain enhancement through cognitive training: a new insight from brain connectome
Taya, F., Sun, Y., Babiloni, F., Thakor, N. V., & Bezerianos, A. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00044 · Cited by 116
“Actually, as mentioned above, some studies have shown changes in frontal θ power after WM training (Jaušovec and Jaušovec, 2012) or training that uses a complex video game (Anguera et al., 2013), suggesting that these EEG biomarkers can be useful for tracking the progress of cognitive training.”
BackgroundResultWorking memory‐related changes in functional connectivity persist beyond task disengagement
Gordon, E. M., Breeden, A. L., Bean, S. E., & Vaidya, C. J. (2012) · Human Brain Mapping · doi:10.1002/hbm.22230 · Cited by 103
“Notably, the direction of change in restingstate connectivity was not consistent across these studies, with connectivity after task performance becoming more positive [Albert et al., 2009; Duff et al., 2008; Grigg and Grady, 2010; Tambini et al., 2010; Vahdat et al., 2011; Waites et al., 2005], more negative [Lewis et…”
BackgroundResultInfluentialResting‐state functional connectivity MRI reveals active processes central to cognition
Stevens, W. D., & Spreng, R. N. (2014) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1275 · Cited by 108
Functional connectivity and neurological recovery
Corbetta, M. (2012) · Developmental Psychobiology · doi:10.1002/dev.20507 · Cited by 96
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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