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Erschienen in: Neuropsychology Review 1/2014

01.03.2014 | Review

Strengthening Connections: Functional Connectivity and Brain Plasticity

verfasst von: Clare Kelly, F. Xavier Castellanos

Erschienen in: Neuropsychology Review | Ausgabe 1/2014

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Abstract

The ascendancy of functional neuroimaging has facilitated the addition of network-based approaches to the neuropsychologist’s toolbox for evaluating the sequelae of brain insult. In particular, intrinsic functional connectivity (iFC) mapping of resting state fMRI (R-fMRI) data constitutes an ideal approach to measuring macro-scale networks in the human brain. Beyond the value of iFC mapping for charting how the functional topography of the brain is altered by insult and injury, iFC analyses can provide insights into experience-dependent plasticity at the macro level of large-scale functional networks. Such insights are foundational to the design of training and remediation interventions that will best facilitate recovery of function. In this review, we consider what is currently known about the origin and function of iFC in the brain, and how this knowledge is informative in neuropsychological settings. We then summarize studies that have examined experience-driven plasticity of iFC in healthy control participants, and frame these findings in terms of a schema that may aid in the interpretation of results and the generation of hypotheses for rehabilitative studies. Finally, we outline some caveats to the R-fMRI approach, as well as some current developments that are likely to bolster the utility of the iFC paradigm for neuropsychology.
Literatur
Zurück zum Zitat Adachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K., et al. (2012). Functional connectivity between anatomically unconnected areas is shaped by collective network-level effects in the macaque cortex. Cerebral Cortex, 22, 1586–1592.PubMed Adachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K., et al. (2012). Functional connectivity between anatomically unconnected areas is shaped by collective network-level effects in the macaque cortex. Cerebral Cortex, 22, 1586–1592.PubMed
Zurück zum Zitat Adelstein, J. S., Shehzad, Z., Mennes, M., De Young, C. G., Zuo, X., Kelly, C., et al. (2011). Personality is reflected in the brain’s intrinsic functional architecture. PLoS One, 6, e27633.PubMedPubMedCentral Adelstein, J. S., Shehzad, Z., Mennes, M., De Young, C. G., Zuo, X., Kelly, C., et al. (2011). Personality is reflected in the brain’s intrinsic functional architecture. PLoS One, 6, e27633.PubMedPubMedCentral
Zurück zum Zitat Albert, N. B., Robertson, E. M., & Miall, R. C. (2009). The resting human brain and motor learning. Current Biology, 19, 1023–1027.PubMedPubMedCentral Albert, N. B., Robertson, E. M., & Miall, R. C. (2009). The resting human brain and motor learning. Current Biology, 19, 1023–1027.PubMedPubMedCentral
Zurück zum Zitat Allen, E.A., Damaraju, E., Plis, S.M., Erhardt, E.B., Eichele, T., & Calhoun, V.D. (2012) Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex. doi:10.1093/cercor/bhs352 Allen, E.A., Damaraju, E., Plis, S.M., Erhardt, E.B., Eichele, T., & Calhoun, V.D. (2012) Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex. doi:10.​1093/​cercor/​bhs352
Zurück zum Zitat Anderson, J. S., Ferguson, M. A., Lopez-Larson, M., & Yurgelun-Todd, D. (2011). Reproducibility of single-subject functional connectivity measurements. AJNR - American Journal of Neuroradiology, 32, 548–555.PubMedPubMedCentral Anderson, J. S., Ferguson, M. A., Lopez-Larson, M., & Yurgelun-Todd, D. (2011). Reproducibility of single-subject functional connectivity measurements. AJNR - American Journal of Neuroradiology, 32, 548–555.PubMedPubMedCentral
Zurück zum Zitat Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 360, 1001–1013.PubMedPubMedCentral Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 360, 1001–1013.PubMedPubMedCentral
Zurück zum Zitat Birn, R. M. (2012). The role of physiological noise in resting-state functional connectivity. NeuroImage, 62, 864–870.PubMed Birn, R. M. (2012). The role of physiological noise in resting-state functional connectivity. NeuroImage, 62, 864–870.PubMed
Zurück zum Zitat Biswal, B., Yetkin, F. Z., Haughton, V. M., & Hyde, J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine, 34, 537–541.PubMed Biswal, B., Yetkin, F. Z., Haughton, V. M., & Hyde, J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine, 34, 537–541.PubMed
Zurück zum Zitat Biswal, B. B., Mennes, M., Zuo, X. N., Gohel, S., Kelly, C., Smith, S. M., et al. (2010). Toward discovery science of human brain function. Proceedings of the National Academy of Sciences of the United States of America, 107, 4734–4739.PubMedPubMedCentral Biswal, B. B., Mennes, M., Zuo, X. N., Gohel, S., Kelly, C., Smith, S. M., et al. (2010). Toward discovery science of human brain function. Proceedings of the National Academy of Sciences of the United States of America, 107, 4734–4739.PubMedPubMedCentral
Zurück zum Zitat Bright, M. G., & Murphy, K. (2013). Removing motion and physiological artifacts from intrinsic BOLD fluctuations using short echo data. NeuroImage, 64, 526–537.PubMedPubMedCentral Bright, M. G., & Murphy, K. (2013). Removing motion and physiological artifacts from intrinsic BOLD fluctuations using short echo data. NeuroImage, 64, 526–537.PubMedPubMedCentral
Zurück zum Zitat Buckner, R. L. (2011). The serendipitous discovery of the brain’s default network. NeuroImage, 62, 1137–1145.PubMed Buckner, R. L. (2011). The serendipitous discovery of the brain’s default network. NeuroImage, 62, 1137–1145.PubMed
Zurück zum Zitat Buckner, R. L., & Krienen, F. M. (2013). The evolution of distributed association networks in the human brain. Trends in Cognitive Sciences, 17, 648–665.PubMed Buckner, R. L., & Krienen, F. M. (2013). The evolution of distributed association networks in the human brain. Trends in Cognitive Sciences, 17, 648–665.PubMed
Zurück zum Zitat Burghy, C. A., Stodola, D. E., Ruttle, P. L., Molloy, E. K., Armstrong, J. M., Oler, J. A., et al. (2012). Developmental pathways to amygdala-prefrontal function and internalizing symptoms in adolescence. Nature Neuroscience, 15, 1736–1741.PubMedPubMedCentral Burghy, C. A., Stodola, D. E., Ruttle, P. L., Molloy, E. K., Armstrong, J. M., Oler, J. A., et al. (2012). Developmental pathways to amygdala-prefrontal function and internalizing symptoms in adolescence. Nature Neuroscience, 15, 1736–1741.PubMedPubMedCentral
Zurück zum Zitat Carter, A. R., Astafiev, S. V., Lang, C. E., Connor, L. T., Rengachary, J., Strube, M. J., et al. (2010). Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Annals of Neurology, 67, 365–375.PubMedPubMedCentral Carter, A. R., Astafiev, S. V., Lang, C. E., Connor, L. T., Rengachary, J., Strube, M. J., et al. (2010). Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Annals of Neurology, 67, 365–375.PubMedPubMedCentral
Zurück zum Zitat Carter, A. R., Shulman, G. L., & Corbetta, M. (2012). Why use a connectivity-based approach to study stroke and recovery of function? NeuroImage, 62, 2271–2280.PubMedPubMedCentral Carter, A. R., Shulman, G. L., & Corbetta, M. (2012). Why use a connectivity-based approach to study stroke and recovery of function? NeuroImage, 62, 2271–2280.PubMedPubMedCentral
Zurück zum Zitat Castellanos, F. X., & Proal, E. (2012). Large-scale brain systems in ADHD: beyond the prefrontal-striatal model. Trends in Cognitive Sciences, 16, 17–26.PubMedPubMedCentral Castellanos, F. X., & Proal, E. (2012). Large-scale brain systems in ADHD: beyond the prefrontal-striatal model. Trends in Cognitive Sciences, 16, 17–26.PubMedPubMedCentral
Zurück zum Zitat Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta, A. D., & Milham, M. P. (2013). Clinical applications of the functional connectome. NeuroImage, 80, 527–540.PubMed Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta, A. D., & Milham, M. P. (2013). Clinical applications of the functional connectome. NeuroImage, 80, 527–540.PubMed
Zurück zum Zitat Cohen Kadosh, R., Soskic, S., Iuculano, T., Kanai, R., & Walsh, V. (2010). Modulating neuronal activity produces specific and long-lasting changes in numerical competence. Current Biology, 20, 2016–2020.PubMedPubMedCentral Cohen Kadosh, R., Soskic, S., Iuculano, T., Kanai, R., & Walsh, V. (2010). Modulating neuronal activity produces specific and long-lasting changes in numerical competence. Current Biology, 20, 2016–2020.PubMedPubMedCentral
Zurück zum Zitat Cole, D. M., Beckmann, C. F., Oei, N. Y., Both, S., van Gerven, J. M., & Rombouts, S. A. (2013). Differential and distributed effects of dopamine neuromodulations on resting-state network connectivity. NeuroImage, 78, 59–67.PubMed Cole, D. M., Beckmann, C. F., Oei, N. Y., Both, S., van Gerven, J. M., & Rombouts, S. A. (2013). Differential and distributed effects of dopamine neuromodulations on resting-state network connectivity. NeuroImage, 78, 59–67.PubMed
Zurück zum Zitat Coynel, D., Marrelec, G., Perlbarg, V., Pelegrini-Issac, M., Van de Moortele, P. F., Ugurbil, K., et al. (2010). Dynamics of motor-related functional integration during motor sequence learning. NeuroImage, 49, 759–766.PubMedPubMedCentral Coynel, D., Marrelec, G., Perlbarg, V., Pelegrini-Issac, M., Van de Moortele, P. F., Ugurbil, K., et al. (2010). Dynamics of motor-related functional integration during motor sequence learning. NeuroImage, 49, 759–766.PubMedPubMedCentral
Zurück zum Zitat de Vries, M. H., Barth, A. C., Maiworm, S., Knecht, S., Zwitserlood, P., & Floel, A. (2010). Electrical stimulation of Broca’s area enhances implicit learning of an artificial grammar. Journal of Cognitive Neuroscience, 22, 2427–2436.PubMed de Vries, M. H., Barth, A. C., Maiworm, S., Knecht, S., Zwitserlood, P., & Floel, A. (2010). Electrical stimulation of Broca’s area enhances implicit learning of an artificial grammar. Journal of Cognitive Neuroscience, 22, 2427–2436.PubMed
Zurück zum Zitat Deco, G., & Corbetta, M. (2011). The dynamical balance of the brain at rest. The Neuroscientist, 17, 107–123.PubMed Deco, G., & Corbetta, M. (2011). The dynamical balance of the brain at rest. The Neuroscientist, 17, 107–123.PubMed
Zurück zum Zitat Di Martino, A., Shehzad, Z., Kelly, C., Roy, A. K., Gee, D. G., Uddin, L. Q., et al. (2009). Relationship between cingulo-insular functional connectivity and autistic traits in neurotypical adults. The American Journal of Psychiatry, 166, 891–899.PubMedPubMedCentral Di Martino, A., Shehzad, Z., Kelly, C., Roy, A. K., Gee, D. G., Uddin, L. Q., et al. (2009). Relationship between cingulo-insular functional connectivity and autistic traits in neurotypical adults. The American Journal of Psychiatry, 166, 891–899.PubMedPubMedCentral
Zurück zum Zitat Diggle, P. J., Heagerty, P., Liang, K.-Y., & Zeger, S. (2013). Analysis of longitudinal data. Oxford: Oxford University Press. Diggle, P. J., Heagerty, P., Liang, K.-Y., & Zeger, S. (2013). Analysis of longitudinal data. Oxford: Oxford University Press.
Zurück zum Zitat Dinstein, I., Pierce, K., Eyler, L., Solso, S., Malach, R., Behrmann, M., et al. (2011). Disrupted neural synchronization in toddlers with autism. Neuron, 70, 1218–1225.PubMedPubMedCentral Dinstein, I., Pierce, K., Eyler, L., Solso, S., Malach, R., Behrmann, M., et al. (2011). Disrupted neural synchronization in toddlers with autism. Neuron, 70, 1218–1225.PubMedPubMedCentral
Zurück zum Zitat Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013). Intrinsic coupling modes: multiscale interactions in ongoing brain activity. Neuron, 80, 867–886.PubMed Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013). Intrinsic coupling modes: multiscale interactions in ongoing brain activity. Neuron, 80, 867–886.PubMed
Zurück zum Zitat Ferreira, L. K., & Busatto, G. F. (2013). Resting-state functional connectivity in normal brain aging. Neuroscience and Biobehavioral Reviews, 37, 384–400.PubMed Ferreira, L. K., & Busatto, G. F. (2013). Resting-state functional connectivity in normal brain aging. Neuroscience and Biobehavioral Reviews, 37, 384–400.PubMed
Zurück zum Zitat Floel, A. (2013). tDCS-enhanced motor and cognitive function in neurological diseases. NeuroImage, 85, 934–947.PubMed Floel, A. (2013). tDCS-enhanced motor and cognitive function in neurological diseases. NeuroImage, 85, 934–947.PubMed
Zurück zum Zitat Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience, 8, 700–711.PubMed Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience, 8, 700–711.PubMed
Zurück zum Zitat Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102, 9673–9678.PubMedPubMedCentral Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102, 9673–9678.PubMedPubMedCentral
Zurück zum Zitat Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006). Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nature Neuroscience, 9, 23–25.PubMed Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006). Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nature Neuroscience, 9, 23–25.PubMed
Zurück zum Zitat Fox, M. D., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2007). Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. Neuron, 56, 171–184.PubMed Fox, M. D., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2007). Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. Neuron, 56, 171–184.PubMed
Zurück zum Zitat Fox, M. D., Zhang, D., Snyder, A. Z., & Raichle, M. E. (2009). The global signal and observed anticorrelated resting state brain networks. Journal of Neurophysiology, 101, 3270–3283.PubMedPubMedCentral Fox, M. D., Zhang, D., Snyder, A. Z., & Raichle, M. E. (2009). The global signal and observed anticorrelated resting state brain networks. Journal of Neurophysiology, 101, 3270–3283.PubMedPubMedCentral
Zurück zum Zitat Fox, M. D., Halko, M. A., Eldaief, M. C., & Pascual-Leone, A. (2012a). Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS). NeuroImage, 62, 2232–2243.PubMedPubMedCentral Fox, M. D., Halko, M. A., Eldaief, M. C., & Pascual-Leone, A. (2012a). Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS). NeuroImage, 62, 2232–2243.PubMedPubMedCentral
Zurück zum Zitat Fox, M. D., Liu, H., & Pascual-Leone, A. (2012b). Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity. NeuroImage, 66C, 151–160.PubMed Fox, M. D., Liu, H., & Pascual-Leone, A. (2012b). Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity. NeuroImage, 66C, 151–160.PubMed
Zurück zum Zitat Fransson, P. (2005). Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis. Human Brain Mapping, 26, 15–29.PubMed Fransson, P. (2005). Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis. Human Brain Mapping, 26, 15–29.PubMed
Zurück zum Zitat Fransson, P., Aden, U., Blennow, M., & Lagercrantz, H. (2011). The functional architecture of the infant brain as revealed by resting-state FMRI. Cerebral Cortex, 21, 145–154.PubMed Fransson, P., Aden, U., Blennow, M., & Lagercrantz, H. (2011). The functional architecture of the infant brain as revealed by resting-state FMRI. Cerebral Cortex, 21, 145–154.PubMed
Zurück zum Zitat Friston, K. J., Frith, C. D., Liddle, P. F., & Frackowiak, R. S. (1993). Functional connectivity: the principal-component analysis of large (PET) data sets. Journal of Cerebral Blood Flow and Metabolism, 13, 5–14.PubMed Friston, K. J., Frith, C. D., Liddle, P. F., & Frackowiak, R. S. (1993). Functional connectivity: the principal-component analysis of large (PET) data sets. Journal of Cerebral Blood Flow and Metabolism, 13, 5–14.PubMed
Zurück zum Zitat Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S., & Turner, R. (1996). Movement-related effects in fMRI time-series. Magnetic Resonance in Medicine, 35, 346–355.PubMed Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S., & Turner, R. (1996). Movement-related effects in fMRI time-series. Magnetic Resonance in Medicine, 35, 346–355.PubMed
Zurück zum Zitat Gao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., et al. (2009). Evidence on the emergence of the brain’s default network from 2-week-old to 2-year-old healthy pediatric subjects. Proceedings of the National Academy of Sciences of the United States of America, 106, 6790–6795.PubMedPubMedCentral Gao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., et al. (2009). Evidence on the emergence of the brain’s default network from 2-week-old to 2-year-old healthy pediatric subjects. Proceedings of the National Academy of Sciences of the United States of America, 106, 6790–6795.PubMedPubMedCentral
Zurück zum Zitat Gillebert, C. R., & Mantini, D. (2013). Functional connectivity in the normal and injured brain. The Neuroscientist, 19, 509–522.PubMed Gillebert, C. R., & Mantini, D. (2013). Functional connectivity in the normal and injured brain. The Neuroscientist, 19, 509–522.PubMed
Zurück zum Zitat Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., et al. (2010). Genetic control over the resting brain. Proceedings of the National Academy of Sciences of the United States of America, 107, 1223–1228.PubMedPubMedCentral Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., et al. (2010). Genetic control over the resting brain. Proceedings of the National Academy of Sciences of the United States of America, 107, 1223–1228.PubMedPubMedCentral
Zurück zum Zitat Gotts, S. J., Saad, Z. S., Jo, H. J., Wallace, G. L., Cox, R. W., & Martin, A. (2013). The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders. Frontiers in Human Neuroscience, 7, 356.PubMedPubMedCentral Gotts, S. J., Saad, Z. S., Jo, H. J., Wallace, G. L., Cox, R. W., & Martin, A. (2013). The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders. Frontiers in Human Neuroscience, 7, 356.PubMedPubMedCentral
Zurück zum Zitat Grefkes, C., & Fink, G. R. (2011). Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches. Brain, 134, 1264–1276.PubMedPubMedCentral Grefkes, C., & Fink, G. R. (2011). Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches. Brain, 134, 1264–1276.PubMedPubMedCentral
Zurück zum Zitat Greicius, M. (2008). Resting-state functional connectivity in neuropsychiatric disorders. Current Opinion in Neurology, 21, 424–430.PubMed Greicius, M. (2008). Resting-state functional connectivity in neuropsychiatric disorders. Current Opinion in Neurology, 21, 424–430.PubMed
Zurück zum Zitat Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 100, 253–258.PubMedPubMedCentral Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 100, 253–258.PubMedPubMedCentral
Zurück zum Zitat Greicius, M. D., Kiviniemi, V., Tervonen, O., Vainionpaa, V., Alahuhta, S., Reiss, A. L., et al. (2008). Persistent default-mode network connectivity during light sedation. Human Brain Mapping, 29, 839–847.PubMedPubMedCentral Greicius, M. D., Kiviniemi, V., Tervonen, O., Vainionpaa, V., Alahuhta, S., Reiss, A. L., et al. (2008). Persistent default-mode network connectivity during light sedation. Human Brain Mapping, 29, 839–847.PubMedPubMedCentral
Zurück zum Zitat Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., et al. (2008). Mapping the structural core of human cerebral cortex. PLoS Biology, 6, e159.PubMedPubMedCentral Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., et al. (2008). Mapping the structural core of human cerebral cortex. PLoS Biology, 6, e159.PubMedPubMedCentral
Zurück zum Zitat Hagmann, P., Sporns, O., Madan, N., Cammoun, L., Pienaar, R., Wedeen, V. J., et al. (2010). White matter maturation reshapes structural connectivity in the late developing human brain. Proceedings of the National Academy of Sciences of the United States of America, 107, 19067–19072.PubMedPubMedCentral Hagmann, P., Sporns, O., Madan, N., Cammoun, L., Pienaar, R., Wedeen, V. J., et al. (2010). White matter maturation reshapes structural connectivity in the late developing human brain. Proceedings of the National Academy of Sciences of the United States of America, 107, 19067–19072.PubMedPubMedCentral
Zurück zum Zitat Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006). Brain connectivity related to working memory performance. Journal of Neuroscience, 26, 13338–13343.PubMedPubMedCentral Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006). Brain connectivity related to working memory performance. Journal of Neuroscience, 26, 13338–13343.PubMedPubMedCentral
Zurück zum Zitat Harmelech, T., & Malach, R. (2013). Neurocognitive biases and the patterns of spontaneous correlations in the human cortex. Trends in Cognitive Sciences, 17, 606–615.PubMed Harmelech, T., & Malach, R. (2013). Neurocognitive biases and the patterns of spontaneous correlations in the human cortex. Trends in Cognitive Sciences, 17, 606–615.PubMed
Zurück zum Zitat Harmelech, T., Preminger, S., Wertman, E., & Malach, R. (2013). The day-after effect: long term, Hebbian-like restructuring of resting-state fMRI patterns induced by a single epoch of cortical activation. Journal of Neuroscience, 33, 9488–9497.PubMed Harmelech, T., Preminger, S., Wertman, E., & Malach, R. (2013). The day-after effect: long term, Hebbian-like restructuring of resting-state fMRI patterns induced by a single epoch of cortical activation. Journal of Neuroscience, 33, 9488–9497.PubMed
Zurück zum Zitat Harrison, B. J., Pujol, J., Ortiz, H., Fornito, A., Pantelis, C., & Yucel, M. (2008). Modulation of brain resting-state networks by sad mood induction. PLoS One, 3, e1794.PubMedPubMedCentral Harrison, B. J., Pujol, J., Ortiz, H., Fornito, A., Pantelis, C., & Yucel, M. (2008). Modulation of brain resting-state networks by sad mood induction. PLoS One, 3, e1794.PubMedPubMedCentral
Zurück zum Zitat He, B. J., Shulman, G. L., Snyder, A. Z., & Corbetta, M. (2007a). The role of impaired neuronal communication in neurological disorders. Current Opinion in Neurology, 20, 655–660.PubMed He, B. J., Shulman, G. L., Snyder, A. Z., & Corbetta, M. (2007a). The role of impaired neuronal communication in neurological disorders. Current Opinion in Neurology, 20, 655–660.PubMed
Zurück zum Zitat He, B. J., Snyder, A. Z., Vincent, J. L., Epstein, A., Shulman, G. L., & Corbetta, M. (2007b). Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron, 53, 905–918.PubMed He, B. J., Snyder, A. Z., Vincent, J. L., Epstein, A., Shulman, G. L., & Corbetta, M. (2007b). Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron, 53, 905–918.PubMed
Zurück zum Zitat He, B. J., Snyder, A. Z., Zempel, J. M., Smyth, M. D., & Raichle, M. E. (2008). Electrophysiological correlates of the brain’s intrinsic large-scale functional architecture. Proceedings of the National Academy of Sciences of the United States of America, 105, 16039–16044.PubMedPubMedCentral He, B. J., Snyder, A. Z., Zempel, J. M., Smyth, M. D., & Raichle, M. E. (2008). Electrophysiological correlates of the brain’s intrinsic large-scale functional architecture. Proceedings of the National Academy of Sciences of the United States of America, 105, 16039–16044.PubMedPubMedCentral
Zurück zum Zitat Herringa, R. J., Birn, R. M., Ruttle, P. L., Burghy, C. A., Stodola, D. E., Davidson, R. J., et al. (2013). Childhood maltreatment is associated with altered fear circuitry and increased internalizing symptoms by late adolescence. Proceedings of the National Academy of Sciences of the United States of America, 110, 19119–19124.PubMed Herringa, R. J., Birn, R. M., Ruttle, P. L., Burghy, C. A., Stodola, D. E., Davidson, R. J., et al. (2013). Childhood maltreatment is associated with altered fear circuitry and increased internalizing symptoms by late adolescence. Proceedings of the National Academy of Sciences of the United States of America, 110, 19119–19124.PubMed
Zurück zum Zitat Holland, R., & Crinion, J. (2012). Can tDCS enhance treatment of aphasia after stroke? Aphasiology, 26, 1169–1191.PubMedPubMedCentral Holland, R., & Crinion, J. (2012). Can tDCS enhance treatment of aphasia after stroke? Aphasiology, 26, 1169–1191.PubMedPubMedCentral
Zurück zum Zitat Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., et al. (2009). Predicting human resting-state functional connectivity from structural connectivity. Proceedings of the National Academy of Sciences of the United States of America, 106, 2035–2040.PubMedPubMedCentral Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., et al. (2009). Predicting human resting-state functional connectivity from structural connectivity. Proceedings of the National Academy of Sciences of the United States of America, 106, 2035–2040.PubMedPubMedCentral
Zurück zum Zitat Horovitz, S. G., Fukunaga, M., de Zwart, J. A., van Gelderen, P., Fulton, S. C., Balkin, T. J., et al. (2008). Low frequency BOLD fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study. Human Brain Mapping, 29, 671–682.PubMed Horovitz, S. G., Fukunaga, M., de Zwart, J. A., van Gelderen, P., Fulton, S. C., Balkin, T. J., et al. (2008). Low frequency BOLD fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study. Human Brain Mapping, 29, 671–682.PubMed
Zurück zum Zitat Hutchison, R. M., Gallivan, J. P., Culham, J. C., Gati, J. S., Menon, R. S., & Everling, S. (2012). Functional connectivity of the frontal eye fields in humans and macaque monkeys investigated with resting-state fMRI. Journal of Neurophysiology, 107, 2463–2474.PubMed Hutchison, R. M., Gallivan, J. P., Culham, J. C., Gati, J. S., Menon, R. S., & Everling, S. (2012). Functional connectivity of the frontal eye fields in humans and macaque monkeys investigated with resting-state fMRI. Journal of Neurophysiology, 107, 2463–2474.PubMed
Zurück zum Zitat Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. (2013). Functional brain connectivity at rest changes after working memory training. Human Brain Mapping, 34, 396–406.PubMed Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. (2013). Functional brain connectivity at rest changes after working memory training. Human Brain Mapping, 34, 396–406.PubMed
Zurück zum Zitat Keller, C. J., Bickel, S., Entz, L., Ulbert, I., Milham, M. P., Kelly, C., et al. (2011). Intrinsic functional architecture predicts electrically evoked responses in the human brain. Proceedings of the National Academy of Sciences of the United States of America, 108, 10308–10313.PubMedPubMedCentral Keller, C. J., Bickel, S., Entz, L., Ulbert, I., Milham, M. P., Kelly, C., et al. (2011). Intrinsic functional architecture predicts electrically evoked responses in the human brain. Proceedings of the National Academy of Sciences of the United States of America, 108, 10308–10313.PubMedPubMedCentral
Zurück zum Zitat Keller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., et al. (2013). Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal. Journal of Neuroscience, 33, 6333–6342.PubMedPubMedCentral Keller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., et al. (2013). Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal. Journal of Neuroscience, 33, 6333–6342.PubMedPubMedCentral
Zurück zum Zitat Kelly, A. M., & Garavan, H. (2005). Human functional neuroimaging of brain changes associated with practice. Cerebral Cortex, 15, 1089–1102.PubMed Kelly, A. M., & Garavan, H. (2005). Human functional neuroimaging of brain changes associated with practice. Cerebral Cortex, 15, 1089–1102.PubMed
Zurück zum Zitat Kelly, A. M., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008). Competition between functional brain networks mediates behavioral variability. NeuroImage, 39, 527–537.PubMed Kelly, A. M., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008). Competition between functional brain networks mediates behavioral variability. NeuroImage, 39, 527–537.PubMed
Zurück zum Zitat Kelly, C., de Zubicaray, G., Di Martino, A., Copland, D. A., Reiss, P. T., Klein, D. F., et al. (2009). L-dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study. Journal of Neuroscience, 29, 7364–7378.PubMedPubMedCentral Kelly, C., de Zubicaray, G., Di Martino, A., Copland, D. A., Reiss, P. T., Klein, D. F., et al. (2009). L-dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study. Journal of Neuroscience, 29, 7364–7378.PubMedPubMedCentral
Zurück zum Zitat Kelly, C., Biswal, B. B., Craddock, R. C., Castellanos, F. X., & Milham, M. P. (2012). Characterizing variation in the functional connectome: promise and pitfalls. Trends in Cognitive Sciences, 16, 181–188.PubMed Kelly, C., Biswal, B. B., Craddock, R. C., Castellanos, F. X., & Milham, M. P. (2012). Characterizing variation in the functional connectome: promise and pitfalls. Trends in Cognitive Sciences, 16, 181–188.PubMed
Zurück zum Zitat Kim, Y. H., Park, J. W., Ko, M. H., Jang, S. H., & Lee, P. K. (2004). Facilitative effect of high frequency subthreshold repetitive transcranial magnetic stimulation on complex sequential motor learning in humans. Neuroscience Letters, 367, 181–185.PubMed Kim, Y. H., Park, J. W., Ko, M. H., Jang, S. H., & Lee, P. K. (2004). Facilitative effect of high frequency subthreshold repetitive transcranial magnetic stimulation on complex sequential motor learning in humans. Neuroscience Letters, 367, 181–185.PubMed
Zurück zum Zitat Kluetsch, R. C., Ros, T., Theberge, J., Frewen, P. A., Calhoun, V. D., Schmahl, C., et al. (2013). Plastic modulation of PTSD resting-state networks and subjective wellbeing by EEG neurofeedback. Acta Psychiatrica Scandinavica. doi:10.1111/acps.12229.PubMed Kluetsch, R. C., Ros, T., Theberge, J., Frewen, P. A., Calhoun, V. D., Schmahl, C., et al. (2013). Plastic modulation of PTSD resting-state networks and subjective wellbeing by EEG neurofeedback. Acta Psychiatrica Scandinavica. doi:10.​1111/​acps.​12229.PubMed
Zurück zum Zitat Koyama, M. S., Di Martino, A., Kelly, C., Jutagir, D. R., Sunshine, J., Schwartz, S. J., et al. (2013). Cortical signatures of dyslexia and remediation: an intrinsic functional connectivity approach. PLoS One, 8, e55454.PubMedPubMedCentral Koyama, M. S., Di Martino, A., Kelly, C., Jutagir, D. R., Sunshine, J., Schwartz, S. J., et al. (2013). Cortical signatures of dyslexia and remediation: an intrinsic functional connectivity approach. PLoS One, 8, e55454.PubMedPubMedCentral
Zurück zum Zitat Kundu, P., Brenowitz, N. D., Voon, V., Worbe, Y., Vertes, P. E., Inati, S. J., et al. (2013). Integrated strategy for improving functional connectivity mapping using multiecho fMRI. Proceedings of the National Academy of Sciences of the United States of America, 110, 16187–16192.PubMed Kundu, P., Brenowitz, N. D., Voon, V., Worbe, Y., Vertes, P. E., Inati, S. J., et al. (2013). Integrated strategy for improving functional connectivity mapping using multiecho fMRI. Proceedings of the National Academy of Sciences of the United States of America, 110, 16187–16192.PubMed
Zurück zum Zitat Lewis, C. M., Baldassarre, A., Committeri, G., Romani, G. L., & Corbetta, M. (2009). Learning sculpts the spontaneous activity of the resting human brain. Proceedings of the National Academy of Sciences of the United States of America, 106, 17558–17563.PubMedPubMedCentral Lewis, C. M., Baldassarre, A., Committeri, G., Romani, G. L., & Corbetta, M. (2009). Learning sculpts the spontaneous activity of the resting human brain. Proceedings of the National Academy of Sciences of the United States of America, 106, 17558–17563.PubMedPubMedCentral
Zurück zum Zitat Liu, B., Song, M., Li, J., Liu, Y., Li, K., Yu, C., et al. (2010). Prefrontal-related functional connectivities within the default network are modulated by COMT val158met in healthy young adults. Journal of Neuroscience, 30, 64–69.PubMed Liu, B., Song, M., Li, J., Liu, Y., Li, K., Yu, C., et al. (2010). Prefrontal-related functional connectivities within the default network are modulated by COMT val158met in healthy young adults. Journal of Neuroscience, 30, 64–69.PubMed
Zurück zum Zitat Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., et al. (2010). Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain. PLoS One, 5, e10232.PubMedPubMedCentral Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., et al. (2010). Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain. PLoS One, 5, e10232.PubMedPubMedCentral
Zurück zum Zitat Lohmann, G., Ovadia-Caro, S., Jungehulsing, G. J., Margulies, D. S., Villringer, A., & Turner, R. (2012). Connectivity concordance mapping: a new tool for model-free analysis of FMRI data of the human brain. Frontiers in Systems Neuroscience, 6, 13.PubMedPubMedCentral Lohmann, G., Ovadia-Caro, S., Jungehulsing, G. J., Margulies, D. S., Villringer, A., & Turner, R. (2012). Connectivity concordance mapping: a new tool for model-free analysis of FMRI data of the human brain. Frontiers in Systems Neuroscience, 6, 13.PubMedPubMedCentral
Zurück zum Zitat Lu, H., Zou, Q., Gu, H., Raichle, M. E., Stein, E. A., & Yang, Y. (2012). Rat brains also have a default mode network. Proceedings of the National Academy of Sciences of the United States of America, 109, 3979–3984.PubMedPubMedCentral Lu, H., Zou, Q., Gu, H., Raichle, M. E., Stein, E. A., & Yang, Y. (2012). Rat brains also have a default mode network. Proceedings of the National Academy of Sciences of the United States of America, 109, 3979–3984.PubMedPubMedCentral
Zurück zum Zitat Ma, L., Narayana, S., Robin, D. A., Fox, P. T., & Xiong, J. (2011). Changes occur in resting state network of motor system during 4 weeks of motor skill learning. NeuroImage, 58, 226–233.PubMedPubMedCentral Ma, L., Narayana, S., Robin, D. A., Fox, P. T., & Xiong, J. (2011). Changes occur in resting state network of motor system during 4 weeks of motor skill learning. NeuroImage, 58, 226–233.PubMedPubMedCentral
Zurück zum Zitat Mackey, A. P., Miller Singley, A. T., & Bunge, S. A. (2013). Intensive reasoning training alters patterns of brain connectivity at rest. Journal of Neuroscience, 33, 4796–4803.PubMedPubMedCentral Mackey, A. P., Miller Singley, A. T., & Bunge, S. A. (2013). Intensive reasoning training alters patterns of brain connectivity at rest. Journal of Neuroscience, 33, 4796–4803.PubMedPubMedCentral
Zurück zum Zitat Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., et al. (2009). Precuneus shares intrinsic functional architecture in humans and monkeys. Proceedings of the National Academy of Sciences of the United States of America, 106, 20069–20074.PubMedPubMedCentral Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., et al. (2009). Precuneus shares intrinsic functional architecture in humans and monkeys. Proceedings of the National Academy of Sciences of the United States of America, 106, 20069–20074.PubMedPubMedCentral
Zurück zum Zitat Martinez, K., Solana, A. B., Burgaleta, M., Hernandez-Tamames, J. A., Alvarez-Linera, J., Roman, F. J., et al. (2013). Changes in resting-state functionally connected parietofrontal networks after videogame practice. Human Brain Mapping, 34, 3143–3157.PubMed Martinez, K., Solana, A. B., Burgaleta, M., Hernandez-Tamames, J. A., Alvarez-Linera, J., Roman, F. J., et al. (2013). Changes in resting-state functionally connected parietofrontal networks after videogame practice. Human Brain Mapping, 34, 3143–3157.PubMed
Zurück zum Zitat Meinzer, M., Jahnigen, S., Copland, D. A., Darkow, R., Grittner, U., Avirame, K., et al. (2014). Transcranial direct current stimulation over multiple days improves learning and maintenance of a novel vocabulary. Cortex, 50, 137–147.PubMed Meinzer, M., Jahnigen, S., Copland, D. A., Darkow, R., Grittner, U., Avirame, K., et al. (2014). Transcranial direct current stimulation over multiple days improves learning and maintenance of a novel vocabulary. Cortex, 50, 137–147.PubMed
Zurück zum Zitat Mennes, M., Kelly, C., Colcombe, S., Castellanos, F. X., & Milham, M. P. (2013). The extrinsic and intrinsic functional architectures of the human brain are not equivalent. Cerebral Cortex, 23, 223–229.PubMedPubMedCentral Mennes, M., Kelly, C., Colcombe, S., Castellanos, F. X., & Milham, M. P. (2013). The extrinsic and intrinsic functional architectures of the human brain are not equivalent. Cerebral Cortex, 23, 223–229.PubMedPubMedCentral
Zurück zum Zitat Mitra, P. P., Ogawa, S., Hu, X., & Ugurbil, K. (1997). The nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging. Magnetic Resonance in Medicine, 37, 511–518.PubMed Mitra, P. P., Ogawa, S., Hu, X., & Ugurbil, K. (1997). The nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging. Magnetic Resonance in Medicine, 37, 511–518.PubMed
Zurück zum Zitat Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009). The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? NeuroImage, 44, 893–905.PubMedPubMedCentral Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009). The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? NeuroImage, 44, 893–905.PubMedPubMedCentral
Zurück zum Zitat Murphy, K., Birn, R. M., & Bandettini, P. A. (2013). Resting-state fMRI confounds and cleanup. NeuroImage, 80, 349–359.PubMed Murphy, K., Birn, R. M., & Bandettini, P. A. (2013). Resting-state fMRI confounds and cleanup. NeuroImage, 80, 349–359.PubMed
Zurück zum Zitat Nitsche, M. A., Schauenburg, A., Lang, N., Liebetanz, D., Exner, C., Paulus, W., et al. (2003). Facilitation of implicit motor learning by weak transcranial direct current stimulation of the primary motor cortex in the human. Journal of Cognitive Neuroscience, 15, 619–626.PubMed Nitsche, M. A., Schauenburg, A., Lang, N., Liebetanz, D., Exner, C., Paulus, W., et al. (2003). Facilitation of implicit motor learning by weak transcranial direct current stimulation of the primary motor cortex in the human. Journal of Cognitive Neuroscience, 15, 619–626.PubMed
Zurück zum Zitat O’Reilly, J. X., Croxson, P. L., Jbabdi, S., Sallet, J., Noonan, M. P., Mars, R. B., et al. (2013). Causal effect of disconnection lesions on interhemispheric functional connectivity in rhesus monkeys. Proceedings of the National Academy of Sciences of the United States of America, 110, 13982–13987.PubMedPubMedCentral O’Reilly, J. X., Croxson, P. L., Jbabdi, S., Sallet, J., Noonan, M. P., Mars, R. B., et al. (2013). Causal effect of disconnection lesions on interhemispheric functional connectivity in rhesus monkeys. Proceedings of the National Academy of Sciences of the United States of America, 110, 13982–13987.PubMedPubMedCentral
Zurück zum Zitat Ovadia-Caro, S., Villringer, K., Fiebach, J., Jungehulsing, G. J., van der Meer, E., Margulies, D. S., et al. (2013). Longitudinal effects of lesions on functional networks after stroke. Journal of Cerebral Blood Flow and Metabolism, 33, 1279–1285.PubMed Ovadia-Caro, S., Villringer, K., Fiebach, J., Jungehulsing, G. J., van der Meer, E., Margulies, D. S., et al. (2013). Longitudinal effects of lesions on functional networks after stroke. Journal of Cerebral Blood Flow and Metabolism, 33, 1279–1285.PubMed
Zurück zum Zitat Pascual-Leone, A., Amedi, A., Fregni, F., & Merabet, L. B. (2005). The plastic human brain cortex. Annual Review of Neuroscience, 28, 377–401.PubMed Pascual-Leone, A., Amedi, A., Fregni, F., & Merabet, L. B. (2005). The plastic human brain cortex. Annual Review of Neuroscience, 28, 377–401.PubMed
Zurück zum Zitat Pieramico, V., Esposito, R., Sensi, F., Cilli, F., Mantini, D., Mattei, P. A., et al. (2012). Combination training in aging individuals modifies functional connectivity and cognition, and is potentially affected by dopamine-related genes. PLoS One, 7, e43901.PubMedPubMedCentral Pieramico, V., Esposito, R., Sensi, F., Cilli, F., Mantini, D., Mattei, P. A., et al. (2012). Combination training in aging individuals modifies functional connectivity and cognition, and is potentially affected by dopamine-related genes. PLoS One, 7, e43901.PubMedPubMedCentral
Zurück zum Zitat Power, J. D., Fair, D. A., Schlaggar, B. L., & Petersen, S. E. (2010). The development of human functional brain networks. Neuron, 67, 735–748.PubMedPubMedCentral Power, J. D., Fair, D. A., Schlaggar, B. L., & Petersen, S. E. (2010). The development of human functional brain networks. Neuron, 67, 735–748.PubMedPubMedCentral
Zurück zum Zitat Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59, 2142–2154.PubMedPubMedCentral Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59, 2142–2154.PubMedPubMedCentral
Zurück zum Zitat Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2013a). Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp. NeuroImage, 76, 439–441.PubMed Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2013a). Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp. NeuroImage, 76, 439–441.PubMed
Zurück zum Zitat Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2013b). Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage, 84C, 320–341. Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2013b). Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage, 84C, 320–341.
Zurück zum Zitat Raichle, M. E. (2010). The brain’s dark energy. Scientific American, 302, 44–49.PubMed Raichle, M. E. (2010). The brain’s dark energy. Scientific American, 302, 44–49.PubMed
Zurück zum Zitat Raichle, M. E., & Mintun, M. A. (2006). Brain work and brain imaging. Annual Review of Neuroscience, 29, 449–476.PubMed Raichle, M. E., & Mintun, M. A. (2006). Brain work and brain imaging. Annual Review of Neuroscience, 29, 449–476.PubMed
Zurück zum Zitat Ruiz, S., Buyukturkoglu, K., Rana, M., Birbaumer, N., & Sitaram, R. (2014). Real-time fMRI brain computer interfaces: self-regulation of single brain regions to networks. Biological Psychology, 95, 4–20.PubMed Ruiz, S., Buyukturkoglu, K., Rana, M., Birbaumer, N., & Sitaram, R. (2014). Real-time fMRI brain computer interfaces: self-regulation of single brain regions to networks. Biological Psychology, 95, 4–20.PubMed
Zurück zum Zitat Saad, Z. S., Reynolds, R. C., Jo, H. J., Gotts, S. J., Chen, G., Martin, A., et al. (2013). Correcting brain-wide correlation differences in resting-state FMRI. Brain Connect, 3, 339–352.PubMed Saad, Z. S., Reynolds, R. C., Jo, H. J., Gotts, S. J., Chen, G., Martin, A., et al. (2013). Correcting brain-wide correlation differences in resting-state FMRI. Brain Connect, 3, 339–352.PubMed
Zurück zum Zitat Samann, P. G., Wehrle, R., Hoehn, D., Spoormaker, V. I., Peters, H., Tully, C., et al. (2011). Development of the brain’s default mode network from wakefulness to slow wave sleep. Cerebral Cortex, 21, 2082–2093.PubMed Samann, P. G., Wehrle, R., Hoehn, D., Spoormaker, V. I., Peters, H., Tully, C., et al. (2011). Development of the brain’s default mode network from wakefulness to slow wave sleep. Cerebral Cortex, 21, 2082–2093.PubMed
Zurück zum Zitat Sami, S., & Miall, R. C. (2013). Graph network analysis of immediate motor-learning induced changes in resting state BOLD. Frontiers in Human Neuroscience, 7, 166.PubMedPubMedCentral Sami, S., & Miall, R. C. (2013). Graph network analysis of immediate motor-learning induced changes in resting state BOLD. Frontiers in Human Neuroscience, 7, 166.PubMedPubMedCentral
Zurück zum Zitat Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., et al. (2012). Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. NeuroImage, 60, 623–632.PubMedPubMedCentral Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., et al. (2012). Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. NeuroImage, 60, 623–632.PubMedPubMedCentral
Zurück zum Zitat Satterthwaite, T. D., Elliott, M. A., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M. E., et al. (2013a). An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage, 64, 240–256.PubMed Satterthwaite, T. D., Elliott, M. A., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M. E., et al. (2013a). An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage, 64, 240–256.PubMed
Zurück zum Zitat Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., et al. (2013b). Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth. NeuroImage, 83C, 45–57. Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., et al. (2013b). Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth. NeuroImage, 83C, 45–57.
Zurück zum Zitat Scheinost, D., Stoica, T., Saksa, J., Papademetris, X., Constable, R. T., Pittenger, C., et al. (2013). Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity. Transl Psychiatry, 3, e250.PubMedPubMedCentral Scheinost, D., Stoica, T., Saksa, J., Papademetris, X., Constable, R. T., Pittenger, C., et al. (2013). Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity. Transl Psychiatry, 3, e250.PubMedPubMedCentral
Zurück zum Zitat Scholvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010). Neural basis of global resting-state fMRI activity. Proceedings of the National Academy of Sciences of the United States of America, 107, 10238–10243.PubMedPubMedCentral Scholvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010). Neural basis of global resting-state fMRI activity. Proceedings of the National Academy of Sciences of the United States of America, 107, 10238–10243.PubMedPubMedCentral
Zurück zum Zitat Shehzad, Z., Kelly, A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., et al. (2009). The resting brain: unconstrained yet reliable. Cerebral Cortex, 19, 2209–2229.PubMedPubMedCentral Shehzad, Z., Kelly, A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., et al. (2009). The resting brain: unconstrained yet reliable. Cerebral Cortex, 19, 2209–2229.PubMedPubMedCentral
Zurück zum Zitat Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012). Decoding subject-driven cognitive states with whole-brain connectivity patterns. Cerebral Cortex, 22, 158–165.PubMedPubMedCentral Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012). Decoding subject-driven cognitive states with whole-brain connectivity patterns. Cerebral Cortex, 22, 158–165.PubMedPubMedCentral
Zurück zum Zitat Shmuel, A., & Leopold, D. A. (2008). Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest. Human Brain Mapping, 29, 751–761.PubMed Shmuel, A., & Leopold, D. A. (2008). Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest. Human Brain Mapping, 29, 751–761.PubMed
Zurück zum Zitat Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., et al. (2009). Correspondence of the brain’s functional architecture during activation and rest. Proceedings of the National Academy of Sciences of the United States of America, 106, 13040–13045.PubMedPubMedCentral Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., et al. (2009). Correspondence of the brain’s functional architecture during activation and rest. Proceedings of the National Academy of Sciences of the United States of America, 106, 13040–13045.PubMedPubMedCentral
Zurück zum Zitat Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., et al. (2012). Temporally-independent functional modes of spontaneous brain activity. Proceedings of the National Academy of Sciences of the United States of America, 109, 3131–3136.PubMedPubMedCentral Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., et al. (2012). Temporally-independent functional modes of spontaneous brain activity. Proceedings of the National Academy of Sciences of the United States of America, 109, 3131–3136.PubMedPubMedCentral
Zurück zum Zitat Song, J., Desphande, A. S., Meier, T. B., Tudorascu, D. L., Vergun, S., Nair, V. A., et al. (2012). Age-related differences in test-retest reliability in resting-state brain functional connectivity. PLoS One, 7, e49847.PubMedPubMedCentral Song, J., Desphande, A. S., Meier, T. B., Tudorascu, D. L., Vergun, S., Nair, V. A., et al. (2012). Age-related differences in test-retest reliability in resting-state brain functional connectivity. PLoS One, 7, e49847.PubMedPubMedCentral
Zurück zum Zitat Strenziok, M., Parasuraman, R., Clarke, E., Cisler, D. S., Thompson, J. C., & Greenwood, P. M. (2014). Neurocognitive enhancement in older adults: comparison of three cognitive training tasks to test a hypothesis of training transfer in brain connectivity. NeuroImage, 85, 1027–1039.PubMed Strenziok, M., Parasuraman, R., Clarke, E., Cisler, D. S., Thompson, J. C., & Greenwood, P. M. (2014). Neurocognitive enhancement in older adults: comparison of three cognitive training tasks to test a hypothesis of training transfer in brain connectivity. NeuroImage, 85, 1027–1039.PubMed
Zurück zum Zitat Sun, F. T., Miller, L. M., Rao, A. A., & D’Esposito, M. (2007). Functional connectivity of cortical networks involved in bimanual motor sequence learning. Cerebral Cortex, 17, 1227–1234.PubMed Sun, F. T., Miller, L. M., Rao, A. A., & D’Esposito, M. (2007). Functional connectivity of cortical networks involved in bimanual motor sequence learning. Cerebral Cortex, 17, 1227–1234.PubMed
Zurück zum Zitat Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., et al. (2013). Effects of working memory training on functional connectivity and cerebral blood flow during rest. Cortex, 49, 2106–2125.PubMed Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., et al. (2013). Effects of working memory training on functional connectivity and cerebral blood flow during rest. Cortex, 49, 2106–2125.PubMed
Zurück zum Zitat Tambini, A., Ketz, N., & Davachi, L. (2010). Enhanced brain correlations during rest are related to memory for recent experiences. Neuron, 65, 280–290.PubMedPubMedCentral Tambini, A., Ketz, N., & Davachi, L. (2010). Enhanced brain correlations during rest are related to memory for recent experiences. Neuron, 65, 280–290.PubMedPubMedCentral
Zurück zum Zitat Taubert, M., Lohmann, G., Margulies, D. S., Villringer, A., & Ragert, P. (2011). Long-term effects of motor training on resting-state networks and underlying brain structure. NeuroImage, 57, 1492–1498.PubMed Taubert, M., Lohmann, G., Margulies, D. S., Villringer, A., & Ragert, P. (2011). Long-term effects of motor training on resting-state networks and underlying brain structure. NeuroImage, 57, 1492–1498.PubMed
Zurück zum Zitat Thomason, M. E., Dennis, E. L., Joshi, A. A., Joshi, S. H., Dinov, I. D., Chang, C., et al. (2011). Resting-state fMRI can reliably map neural networks in children. NeuroImage, 55, 165–175.PubMedPubMedCentral Thomason, M. E., Dennis, E. L., Joshi, A. A., Joshi, S. H., Dinov, I. D., Chang, C., et al. (2011). Resting-state fMRI can reliably map neural networks in children. NeuroImage, 55, 165–175.PubMedPubMedCentral
Zurück zum Zitat Tunbridge, E. M., Farrell, S. M., Harrison, P. J., & Mackay, C. E. (2013). Catechol-O-methyltransferase (COMT) influences the connectivity of the prefrontal cortex at rest. NeuroImage, 68, 49–54.PubMedPubMedCentral Tunbridge, E. M., Farrell, S. M., Harrison, P. J., & Mackay, C. E. (2013). Catechol-O-methyltransferase (COMT) influences the connectivity of the prefrontal cortex at rest. NeuroImage, 68, 49–54.PubMedPubMedCentral
Zurück zum Zitat Turner, R., Howseman, A., Rees, G. E., Josephs, O., & Friston, K. (1998). Functional magnetic resonance imaging of the human brain: data acquisition and analysis. Experimental Brain Research, 123, 5–12.PubMed Turner, R., Howseman, A., Rees, G. E., Josephs, O., & Friston, K. (1998). Functional magnetic resonance imaging of the human brain: data acquisition and analysis. Experimental Brain Research, 123, 5–12.PubMed
Zurück zum Zitat Uddin, L. Q., Mooshagian, E., Zaidel, E., Scheres, A., Margulies, D. S., Kelly, A. M., et al. (2008). Residual functional connectivity in the split-brain revealed with resting-state functional MRI. Neuroreport, 19, 703–709.PubMedPubMedCentral Uddin, L. Q., Mooshagian, E., Zaidel, E., Scheres, A., Margulies, D. S., Kelly, A. M., et al. (2008). Residual functional connectivity in the split-brain revealed with resting-state functional MRI. Neuroreport, 19, 703–709.PubMedPubMedCentral
Zurück zum Zitat Uddin, L. Q., Supekar, K., & Menon, V. (2010). Typical and atypical development of functional human brain networks: insights from resting-state FMRI. Frontiers in Systems Neuroscience, 4, 21.PubMedPubMedCentral Uddin, L. Q., Supekar, K., & Menon, V. (2010). Typical and atypical development of functional human brain networks: insights from resting-state FMRI. Frontiers in Systems Neuroscience, 4, 21.PubMedPubMedCentral
Zurück zum Zitat Van Dijk, K. R., Sabuncu, M. R., & Buckner, R. L. (2012). The influence of head motion on intrinsic functional connectivity MRI. NeuroImage, 59, 431–438.PubMedPubMedCentral Van Dijk, K. R., Sabuncu, M. R., & Buckner, R. L. (2012). The influence of head motion on intrinsic functional connectivity MRI. NeuroImage, 59, 431–438.PubMedPubMedCentral
Zurück zum Zitat Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., et al. (2007). Intrinsic functional architecture in the anaesthetized monkey brain. Nature, 447, 83–86.PubMed Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., et al. (2007). Intrinsic functional architecture in the anaesthetized monkey brain. Nature, 447, 83–86.PubMed
Zurück zum Zitat Voss, M. W., Prakash, R. S., Erickson, K. I., Basak, C., Chaddock, L., Kim, J. S., et al. (2010). Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Frontiers in Aging Neuroscience, 2, 32.PubMedPubMedCentral Voss, M. W., Prakash, R. S., Erickson, K. I., Basak, C., Chaddock, L., Kim, J. S., et al. (2010). Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Frontiers in Aging Neuroscience, 2, 32.PubMedPubMedCentral
Zurück zum Zitat Whitfield-Gabrieli, S., & Ford, J. M. (2012). Default mode network activity and connectivity in psychopathology. Annual Review of Clinical Psychology, 8, 49–76.PubMed Whitfield-Gabrieli, S., & Ford, J. M. (2012). Default mode network activity and connectivity in psychopathology. Annual Review of Clinical Psychology, 8, 49–76.PubMed
Zurück zum Zitat Wiggins, J. L., Bedoyan, J. K., Peltier, S. J., Ashinoff, S., Carrasco, M., Weng, S. J., et al. (2012). The impact of serotonin transporter (5-HTTLPR) genotype on the development of resting-state functional connectivity in children and adolescents: a preliminary report. NeuroImage, 59, 2760–2770.PubMedPubMedCentral Wiggins, J. L., Bedoyan, J. K., Peltier, S. J., Ashinoff, S., Carrasco, M., Weng, S. J., et al. (2012). The impact of serotonin transporter (5-HTTLPR) genotype on the development of resting-state functional connectivity in children and adolescents: a preliminary report. NeuroImage, 59, 2760–2770.PubMedPubMedCentral
Zurück zum Zitat Yan, C., Liu, D., He, Y., Zou, Q., Zhu, C., Zuo, X., et al. (2009). Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load. PLoS One, 4, e5743.PubMedPubMedCentral Yan, C., Liu, D., He, Y., Zou, Q., Zhu, C., Zuo, X., et al. (2009). Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load. PLoS One, 4, e5743.PubMedPubMedCentral
Zurück zum Zitat Yan, C. G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., et al. (2013). A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. NeuroImage, 76, 183–201.PubMedPubMedCentral Yan, C. G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., et al. (2013). A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. NeuroImage, 76, 183–201.PubMedPubMedCentral
Zurück zum Zitat Yoo, K., Sohn, W. S., & Jeong, Y. (2013). Tool-use practice induces changes in intrinsic functional connectivity of parietal areas. Frontiers in Human Neuroscience, 7, 49.PubMedPubMedCentral Yoo, K., Sohn, W. S., & Jeong, Y. (2013). Tool-use practice induces changes in intrinsic functional connectivity of parietal areas. Frontiers in Human Neuroscience, 7, 49.PubMedPubMedCentral
Zurück zum Zitat Zhang, D., & Raichle, M. E. (2010). Disease and the brain’s dark energy. Nature Reviews Neurology, 6, 15–28.PubMed Zhang, D., & Raichle, M. E. (2010). Disease and the brain’s dark energy. Nature Reviews Neurology, 6, 15–28.PubMed
Metadaten
Titel
Strengthening Connections: Functional Connectivity and Brain Plasticity
verfasst von
Clare Kelly
F. Xavier Castellanos
Publikationsdatum
01.03.2014
Verlag
Springer US
Erschienen in
Neuropsychology Review / Ausgabe 1/2014
Print ISSN: 1040-7308
Elektronische ISSN: 1573-6660
DOI
https://doi.org/10.1007/s11065-014-9252-y

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