State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility
Open accessAbstract
The brain is a dynamic, flexible network that continuously reconfigures. However, the neural underpinnings of how state-dependent variability of dynamic functional connectivity (vdFC) relates to cognitive flexibility are unclear. We therefore investigated flexible functional connectivity during resting-state and task-state functional magnetic resonance imaging (rs-fMRI and t-fMRI, resp.) and performed separate, out-of-scanner neuropsychological testing. We hypothesize that state-dependent vdFC between the frontoparietal network (FPN) and the default mode network (DMN) relates to cognitive flexibility. Seventeen healthy subjects performed the Stroop color word test and underwent t-fMRI (Stroop computerized version) and rs-fMRI. Time series were extracted from a cortical atlas, and a sliding window approach was used to obtain a number of correlation matrices per subject. vdFC was defined as the standard deviation of connectivity strengths over these windows. Higher task-state FPN-DMN vdFC was associated with greater out-of-scanner cognitive flexibility, while the opposite relationship was present for resting-state FPN-DMN vdFC. Moreover, greater contrast between task-state and resting-state vdFC related to better cognitive performance. In conclusion, our results suggest that not only the dynamics of connectivity between these networks is seminal for optimal functioning, but also that the contrast between dynamics across states reflects cognitive performance.
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Interactions between the medial frontoparietal network and the lateral frontoparietal network are associated with cognitive flexibility.
“Dynamics between the default mode or medial frontoparietal network (M-FPN) and the L-FPN have also been linked to cognitive flexibility46.”
From Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations (2021) · cites this paper as [46]
Time-varying but not static functional connectivity of the midcingulo-insular network, as well as dynamics between the default mode/medial frontoparietal network and lateral frontoparietal network, has been shown to predict individual differences in cognitive flexibility.
“Time-varying (but not static) functional connectivity of the M-CIN (109), as well as dynamics between the default mode/medial frontoparietal network (M-FPN) and L-FPN (110), has been shown to predict individual differences in cognitive flexibility.”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [110]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
Self-citationThe organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Forming inferences about some intraclass correlation coefficients.
McGraw, K. O., & Wong, S. P. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.30 · Cited by 6,903 · see citing works
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371 · see citing works
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · see citing works
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962 · see citing works
The role of the posterior cingulate cortex in cognition and disease
Leech, R., & Sharp, D. J. (2014) · Brain · doi:10.1093/brain/awt162 · Cited by 2,247 · see citing works
Dynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705 · see citing works
Multi-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works
Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience
Dajani, D. R., & Uddin, L. Q. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.07.003 · Cited by 1,046 · see citing works
The role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978 · see citing works
He, B. J., Snyder, A. Z., Vincent, J. L., Epstein, A. A., Shulman, G. L., & Corbetta, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.02.013 · Cited by 916 · see citing works
On spurious and real fluctuations of dynamic functional connectivity during rest
Leonardi, N., & Van De Ville, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.007 · Cited by 828 · see citing works
SAUSENG, P., KLIMESCH, W., SCHABUS, M., & DOPPELMAYR, M. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.03.018 · Cited by 814 · see citing works
Dynamic reconfiguration of frontal brain networks during executive cognition in humans
Braun, U., Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422487112 · Cited by 791 · see citing works
Default and executive network coupling supports creative idea production
Beaty, R. E., Benedek, M., Barry Kaufman, S., & Silvia, P. J. (2015) · Scientific Reports · doi:10.1038/srep10964 · Cited by 705 · see citing works
Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668 · see citing works
Liu, X., & Duyn, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216856110 · Cited by 647 · see citing works
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613 · see citing works
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project
Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., Keil, B., Tisdall, M. D., Hoecht, P., Dietz, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.078 · Cited by 545 · see citing works
Fornito, A., Harrison, B. J., Zalesky, A., & Simons, J. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204185109 · Cited by 538 · see citing works
Unrest at rest: Default activity and spontaneous network correlations
Buckner, R. L., & Vincent, J. L. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.010 · Cited by 523 · see citing works
Resting-state brain networks: literature review and clinical applications
Rosazza, C., & Minati, L. (2011) · Neurological Sciences · doi:10.1007/s10072-011-0636-y · Cited by 509 · see citing works
Learning and cognitive flexibility: frontostriatal function and monoaminergic modulation
Kehagia, A. A., Murray, G. K., & Robbins, T. W. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.01.007 · Cited by 398 · see citing works
Dynamic functional connectivity of the default mode network tracks daydreaming
Kucyi, A., & Davis, K. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.044 · Cited by 355 · see citing works
Default Mode Dynamics for Global Functional Integration
Vatansever, D., Menon, D. K., Manktelow, A. E., Sahakian, B. J., & Stamatakis, E. A. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2135-15.2015 · Cited by 333 · see citing works
The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI
Daducci, A., Gerhard, S., Griffa, A., Lemkaddem, A., Cammoun, L., Gigandet, X., Meuli, R. A., Hagmann, P., & Thiran, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048121 · Cited by 266 · see citing works
A 64‐channel 3T array coil for accelerated brain MRI
Keil, B. R., Blau, J. N., Biber, S., Hoecht, P., Tountcheva, V., Setsompop, K., Triantafyllou, C., & Wald, L. L. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24427 · Cited by 259 · see citing works
Ongoing dynamics in large-scale functional connectivity predict perception
Sadaghiani, S., Poline, J., Kleinschmidt, A. K., & D’Esposito, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420687112 · Cited by 258 · see citing works
Betzel, R. F., Fukushima, M., He, Y., Zuo, X.-N., & Sporns, O. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.001 · Cited by 249 · see citing works
Differential coupling of visual cortex with default or frontal-parietal network based on goals
Chadick, J. Z., & Gazzaley, A. H. (2011) · Nature Neuroscience · doi:10.1038/nn.2823 · Cited by 222 · see citing works
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214 · see citing works
Hellyer, P. J., Shanahan, M., Scott, G., Wise, R. J. S., Sharp, D. J., & Leech, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-13.2014 · Cited by 205 · see citing works
On the existence of a generalized non-specific task-dependent network
Hugdahl, K., Raichle, M. E., Mitra, A., & Specht, K. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00430 · Cited by 169 · see citing works
Estimating time-varying brain connectivity networks from functional MRI time series
Monti, R. P., Hellyer, P. J., Sharp, D. J., Leech, R., Anagnostopoulos, C., & Montana, G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.033 · Cited by 162 · see citing works
Piccoli, T., Valente, G., Linden, D. E. J., Re, M., Esposito, F., Sack, A. T., & Salle, F. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123354 · Cited by 156 · see citing works
Default mode network connectivity during task execution
Vatansever, D., Menon, D. K., Manktelow, A. E., Sahakian, B. J., & Stamatakis, E. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.053 · Cited by 141 · see citing works
Brain Network Adaptability across Task States
Davison, E. N., Schlesinger, K. J., Bassett, D. S., Lynall, M.-E., Miller, M. B., Grafton, S. T., & Carlson, J. M. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004029 · Cited by 127 · see citing works
Behavioral Relevance of the Dynamics of the Functional Brain Connectome
Jia, H., Hu, X. P., & Deshpande, G. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0300 · Cited by 118 · see citing works
Flexible brain network reconfiguration supporting inhibitory control
Spielberg, J. M., Miller, G. A., Heller, W., & Banich, M. T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500048112 · Cited by 109 · see citing works
Gerhard, S., Daducci, A., Lemkaddem, A., Meuli, R. A., Thiran, J., & Hagmann, P. (2011) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2011.00003 · Cited by 105 · see citing works
Leonardi, N., Shirer, W. R., Greicius, M. D., & Ville, D. V. D. (2014) · Human Brain Mapping · doi:10.1002/hbm.22599 · Cited by 97 · see citing works
Lin, P., Yang, Y., Jovicich, J., Pisapia, N. D., Wang, X., Zuo, C. S., & Levitt, J. J. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9384-6 · Cited by 91 · see citing works
Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective
Vatansever, D., Manktelow, A. E., Sahakian, B. J., Menon, D. K., & Stamatakis, E. A. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0388 · Cited by 73 · see citing works
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Hashizume, H., Sassa, Y., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.058 · Cited by 69 · see citing works
Hearne, L. J., Cocchi, L., Zalesky, A., & Mattingley, J. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22802 · Cited by 63 · see citing works
Spatial and temporal functional connectivity changes between resting and attentive states
Bray, S., Arnold, A. E. G. F., Levy, R., & Iaria, G. (2014) · Human Brain Mapping · doi:10.1002/hbm.22646 · Cited by 60 · see citing works
Persistency and flexibility of complex brain networks underlie dual‐task interference
Alavash, M., Hilgetag, C. C., Thiel, C. M., & Gießing, C. (2015) · Human Brain Mapping · doi:10.1002/hbm.22861 · Cited by 38 · see citing works
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Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations
Uddin, L. Q. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00428-w · Cited by 698 · see citing works
Sezer, I., Pizzagalli, D. A., & Sacchet, M. D. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104583 · Cited by 214 · see citing works
“Indeed, higher rsFC changes of DMN and FPN have been associated with higher cognitive flexibility and cognitive performance, overall (Douw et al., 2016).”
BackgroundUddin, L. Q. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.05.010 · Cited by 116 · see citing works
Harlalka, V., Bapi, R. S., Vinod, P. K., & Roy, D. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00006 · Cited by 110 · see citing works
Li, Y., Zhu, Y., Nguchu, B. A., Wang, Y., Wang, H., Qiu, B., & Wang, X. (2020) · Autism Research · doi:10.1002/aur.2212 · Cited by 95 · see citing works
Baytunca, M. B., Inci, S. B., Ipci, M., Kardas, B., Bolat, G. U., & Ercan, E. S. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.03.038 · Cited by 51 · see citing works
Lebedev, A. V., Nilsson, J., & Lövdén, M. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01260 · Cited by 21 · see citing works
- Authors
- Douw, L., Wakeman, D. G., Tanaka, N., Liu, H., & Stufflebeam, S. M.
- Affiliations
- Massachusetts General Hospital (US)
- Harvard University (US)
- Corresponding author
- Douw, Linda
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 339
- Pages
- 12-21
- ISSN
- 0306-4522 (ISSN-L)
- PMC
- PMC5635855
- OpenAlex
- W2524362044
- Cited by
- 162
- References
- 53
- Citations by year
- 2026: 14 · 2025: 18 · 2024: 15 · 2023: 20 · 2022: 16 · 2021: 23 · 2020: 19 · 2019: 13 · 2018: 16 · 2017: 8
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuroscience (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Center for Research Resources (S10RR014978)
- National Institutes of Health (R01-NS069696, 5R01-NS060918, U01MH093765, S10RR023043, S10RR023401)
- National Science Foundation (1042134)
- Dutch Organization for Scientific Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- dynamic functional connectivity, cognitive flexibility, frontoparietal network, default mode network, resting-state functional connectivity, Stroop task, network dynamics, cognitive performance
- MeSH terms
- Adult, Brain, Brain Mapping, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Rest, Cohort Studies, Executive Function, Stroop Test
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