Skip to main content
Log in

The development of the intrinsic functional connectivity of default network subsystems from age 3 to 5

  • Original Research
  • Published:
Brain Imaging and Behavior Aims and scope Submit manuscript

Abstract

In recent years, research on human functional brain imaging using resting-state fMRI techniques has been increasingly prevalent. The term “default mode” was proposed to describe a baseline or default state of the brain during rest. Recent studies suggested that the default mode network (DMN) is comprised of two functionally distinct subsystems: a dorsal-medial prefrontal cortex (DMPFC) subsystem involved in self-oriented cognition (i.e., theory of mind) and a medial temporal lobe (MTL) subsystem engaged in memory and scene construction; both subsystems interact with the anterior medial prefrontal cortex (aMPFC) and posterior cingulate (PCC) as the core regions of DMN. The present study explored the development of DMN core regions and these two subsystems in both hemispheres from 3- to 5-year-old children. The analysis of the intrinsic activity showed strong developmental changes in both subsystems, and significant changes were specifically found in MTL subsystem, but not in DMPFC subsystem, implying distinct developmental trajectories for DMN subsystems. We found stronger interactions between the DMPFC and MTL subsystems in 5-year-olds, particularly in the left subsystems that support the development of environmental adaptation and relatively complex mental activities. These results also indicate that there is stronger right hemispheric lateralization at age 3, which then changes as bilateral development gradually increases through to age 5, suggesting in turn the hemispheric dominance in DMN subsystems changing with age. The present results provide primary evidence for the development of DMN subsystems in early life, which might be closely related to the development of social cognition in childhood.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Addis D. R., Pan L., Vu M.-A., Laiser N., & Schacter D. L. (2009). Constructive episodic simulation of the future and the past: distinct subsystems of a core brain network mediate imagining and remembering. Neuropsychologia, 47(11), 2222–2238.

    Article  PubMed  Google Scholar 

  • Andrews-Hanna J. R. (2012). The brain’s default network and its adaptive role in internal mentation. The Neuroscientist, 18(3), 251–270.

    Article  PubMed  PubMed Central  Google Scholar 

  • Andrews-Hanna J. R., Reidler J. S., Sepulcre J., Poulin R., & Buckner R. L. (2010). Functional-anatomic fractionation of the brain’s default network. Neuron, 65(4), 550–562. doi:10.1016/j.neuron.2010.02.005.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Andrews-Hanna J. R., Saxe R., & Yarkoni T. (2014a). Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses. NeuroImage, 91, 324–335.

    Article  PubMed  PubMed Central  Google Scholar 

  • Andrews-Hanna J. R., Smallwood J., & Spreng R. N. (2014b). The default network and self-generated thought: component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences, 1316, 29–52. doi:10.1111/nyas.12360.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ashburner J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1), 95–113.

    Article  PubMed  Google Scholar 

  • Astington J. W., & Jenkins J. M. (1999). A longitudinal study of the relation between language and theory-of-mind development. Developmental Psychology, 35(5), 1311–1320.

    Article  CAS  PubMed  Google Scholar 

  • Bartsch K., & Wellman H. M. (1999). Children talk about the mind. New York: Oxford University Press.

    Google Scholar 

  • Behzadi Y., Restom K., Liau J., & Liu T. T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage, 37(1), 90–101.

    Article  PubMed  PubMed Central  Google Scholar 

  • Biswal B., Zerrin Yetkin F., 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(4), 537–541.

    Article  CAS  PubMed  Google Scholar 

  • Booth J. R., Burman D. D., Meyer J. R., Lei Z., Trommer B. L., Davenport N. D., et al. (2003). Neural development of selective attention and response inhibition. NeuroImage, 20(2), 737–751.

    Article  PubMed  Google Scholar 

  • Buckner R. L., & Carroll D. C. (2007). Self-projection and the brain. Trends in Cognitive Sciences, 11(2), 49–57.

    Article  PubMed  Google Scholar 

  • Buckner R. L., Andrews-Hanna J. R., & Schacter D. L. (2008). The brain’s default network: anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. doi:10.1196/annals.1440.011.

    Article  PubMed  Google Scholar 

  • Buckner R. L., Sepulcre J., Talukdar T., Krienen F. M., Liu H., Hedden T., et al. (2009). Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. The Journal of Neuroscience, 29(6), 1860–1873.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bullmore E., & Sporns O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198.

    Article  CAS  PubMed  Google Scholar 

  • Chao-Gan Y., & Yu-Feng Z. (2010). DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Frontiers in Systems Neuroscience, 4. doi:10.3389/fnsys.2010.00013.

  • D’Argembeau A., Collette F., Van der Linden M., Laureys S., Del Fiore G., Degueldre C., et al. (2005). Self-referential reflective activity and its relationship with rest: a PET study. NeuroImage, 25(2), 616–624.

    Article  PubMed  Google Scholar 

  • Damaraju, E., Phillips, J. R., Lowe, J. R., Ohls, R., Calhoun, V. D., & Caprihan, A. (2010). Resting-state functional connectivity differences in premature children. Frontiers in Systems Neuroscience, 4, 23. doi:10.3389/fnsys.2010.00023.

  • de Bie H. M., Boersma M., Adriaanse S., Veltman D. J., Wink A. M., Roosendaal S. D., et al. (2012). Resting-state networks in awake five- to eight-year old children. Human Brain Mapping, 33(5), 1189–1201. doi:10.1002/hbm.21280.

    Article  PubMed  Google Scholar 

  • de Villiers J. (2000). Language and theory of mind: What are the developmental relationships. In S. Baron-Cohen, M. Lombardo, & H. Tager-Flusberg (Eds.), Understanding other minds: Perspectives from developmental cognitive neuroscience (pp. 83–123). New York: Oxford University Press.

    Google Scholar 

  • Fair D. A., Cohen A. L., Dosenbach N. U., Church J. A., Miezin F. M., Barch D. M., et al. (2008). The maturing architecture of the brain’s default network. Proceedings of the National Academy of Sciences of the United States of America, 105(10), 4028–4032. doi:10.1073/pnas.0800376105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Fivush R., & Nelson K. (2006). Parent–child reminiscing locates the self in the past. British Journal of Developmental Psychology, 24(1), 235–251.

    Article  Google Scholar 

  • Flavell J. H. (1999). Cognitive development: children’s knowledge about the mind. Annual Review of Psychology, 50(1), 21–45.

    Article  CAS  PubMed  Google Scholar 

  • 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(27), 9673–9678. doi:10.1073/pnas.0504136102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Fransson P., Skiöld B., Horsch S., Nordell A., Blennow M., Lagercrantz H., et al. (2007). Resting-state networks in the infant brain. Proceedings of the National Academy of Sciences of the United States of America, 104(39), 15531–15536.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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(16), 6790–6795.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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(1), 253–258.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Greicius M. D., Kiviniemi V., Tervonen O., Vainionpää V., Alahuhta S., Reiss A. L., et al. (2008). Persistent default‐mode network connectivity during light sedation. Human Brain Mapping, 29(7), 839–847.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gusnard D. A., & Raichle M. E. (2001). Searching for a baseline: functional imaging and the resting human brain. Nature Reviews Neuroscience, 2(10), 685–694.

    Article  CAS  PubMed  Google Scholar 

  • Gusnard D. A., Akbudak E., Shulman G. L., & Raichle M. E. (2001). Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(7), 4259–4264.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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(7), e159.

    Article  PubMed  PubMed Central  Google Scholar 

  • He Y., & Evans A. (2010). Graph theoretical modeling of brain connectivity. Current Opinion in Neurology, 23(4), 341–350.

    PubMed  Google Scholar 

  • 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(6), 671–682.

    Article  PubMed  Google Scholar 

  • Horovitz S. G., Braun A. R., Carr W. S., Picchioni D., Balkin T. J., Fukunaga M., et al. (2009). Decoupling of the brain’s default mode network during deep sleep. Proceedings of the National Academy of Sciences of the United States of America, 106(27), 11376–11381.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hudson J., & Nelson K. (1986). Repeated encounters of a similar kind: effects of familiarity on children’s autobiographic memory. Cognitive Development, 1(3), 253–271.

    Article  Google Scholar 

  • Jenkinson M., Bannister P., Brady M., & Smith S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17(2), 825–841.

    Article  PubMed  Google Scholar 

  • Johnson S. P. (2003). The nature of cognitive development. Trends in Cognitive Sciences, 7(3), 102–104.

    Article  PubMed  Google Scholar 

  • Kelly A. C., Di Martino A., Uddin L. Q., Shehzad Z., Gee D. G., Reiss P. T., et al. (2009). Development of anterior cingulate functional connectivity from late childhood to early adulthood. Cerebral Cortex, 19(3), 640–657.

    Article  PubMed  Google Scholar 

  • Kim H. (2012). A dual-subsystem model of the brain’s default network: self-referential processing, memory retrieval processes, and autobiographical memory retrieval. NeuroImage, 61(4), 966–977.

    Article  CAS  PubMed  Google Scholar 

  • Koyama M. S., Di Martino A., Zuo X.-N., Kelly C., Mennes M., Jutagir D. R., et al. (2011). Resting-state functional connectivity indexes reading competence in children and adults. The Journal of Neuroscience, 31(23), 8617–8624.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Larson-Prior L. J., Zempel J. M., Nolan T. S., Prior F. W., Snyder A. Z., & Raichle M. E. (2009). Cortical network functional connectivity in the descent to sleep. Proceedings of the National Academy of Sciences of the United States of America, 106(11), 4489–4494.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu W.-C., Flax J. F., Guise K. G., Sukul V., & Benasich A. A. (2008). Functional connectivity of the sensorimotor area in naturally sleeping infants. Brain Research, 1223, 42–49.

    Article  CAS  PubMed  Google Scholar 

  • Meltzoff A. N. (1995). Understanding the intentions of others: re-enactment of intended acts by 18-month-old children. Developmental Psychology, 31(5), 838–850.

    Article  PubMed  PubMed Central  Google Scholar 

  • Meltzoff A. N., Gopnik A., & Repacholi B. M. (1999). Toddlers’ understanding of intentions, desires and emotions: Explorations of the dark ages. In P. D. Zelazo, I. W. Astington, & D. R. Olson (Eds.), Developing theory of intention: social understanding and self-control (pp. 17–41). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Miller C. A. (2006). Developmental relationships between language and theory of mind. American Journal of Speech-Language Pathology, 15(2), 142–154.

    Article  PubMed  Google Scholar 

  • Moll H., & Tomasello M. (2007). How 14-and 18-month-olds know what others have experienced. Developmental Psychology, 43(2), 309–317.

    Article  PubMed  Google Scholar 

  • Naito M. (2003). The relationship between theory of mind and episodic memory: evidence for the development of autonoetic consciousness. Journal of Experimental Child Psychology, 85(4), 312–336.

    Article  PubMed  Google Scholar 

  • Nelson K. (2009). Young minds in social worlds: Experience, meaning, and memory. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Northoff G., Heinzel A., de Greck M., Bermpohl F., Dobrowolny H., & Panksepp J. (2006). Self-referential processing in our brain—a meta-analysis of imaging studies on the self. NeuroImage, 31(1), 440–457.

    Article  PubMed  Google Scholar 

  • Perner J. (2000). Memory and theory of mind. In E. Tulving, & F. I. M. Craik (Eds.), The Oxford handbook of memory (pp. 297–312). New York: Oxford University Press.

    Google Scholar 

  • Perner J., & Ruffman T. (1995). Episodic memory and autonoetic conciousness: developmental evidence and a theory of childhood amnesia. Journal of Experimental Child Psychology, 59(3), 516–548.

    Article  CAS  PubMed  Google Scholar 

  • Perner J., Leekam S. R., & Wimmer H. (1987). Three-year-olds’ difficulty with false belief: the case for a conceptual deficit. British Journal of Developmental Psychology, 5(2), 125–137.

    Article  Google Scholar 

  • Perner J., Kloo D., & Gornik E. (2007). Episodic memory development: theory of mind is part of re-experiencing experienced events. Infant and Child Development, 16(5), 471–490.

    Article  Google Scholar 

  • 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(3), 2142–2154. doi:10.1016/j.neuroimage.2011.10.018.

    Article  PubMed  PubMed Central  Google Scholar 

  • Power J. D., Mitra A., Laumann T. O., Snyder A. Z., Schlaggar B. L., & Petersen S. E. (2014). Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage, 84, 320–341.

    Article  PubMed  Google Scholar 

  • Rabin J. S., & Rosenbaum R. S. (2012). Familiarity modulates the functional relationship between theory of mind and autobiographical memory. NeuroImage, 62(1), 520–529.

    Article  PubMed  Google Scholar 

  • Raichle M. E., MacLeod A. M., Snyder A. Z., Powers W. J., Gusnard D. A., & Shulman G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 676–682.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rubin D. C. (2000). The distribution of early childhood memories. Memory, 8(4), 265–269.

    Article  CAS  PubMed  Google Scholar 

  • Ruffman T., Slade L., Rowlandson K., Rumsey C., & Garnham A. (2003). How language relates to belief, desire, and emotion understanding. Cognitive Development, 18(2), 139–158.

    Article  Google Scholar 

  • Sämann 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(9), 2082–2093.

    Article  PubMed  Google Scholar 

  • 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(1), 623–632.

    Article  PubMed  PubMed Central  Google Scholar 

  • Shulman G. L., Fiez J. A., Corbetta M., Buckner R. L., Miezin F. M., Raichle M. E., et al. (1997). Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. Journal of Cognitive Neuroscience, 9(5), 648–663.

    Article  CAS  PubMed  Google Scholar 

  • Sodian B., & Kristen S. (2010). Theory of mind. In B. Glatzeder, V. Goel, & A. von Müller (Eds.), Towards a theory of thinking (pp. 189–201). New York: Springer.

    Chapter  Google Scholar 

  • Song X. W., Dong Z. Y., Long X. Y., Li S. F., Zuo X. N., Zhu C. Z., et al. (2011). REST: a toolkit for resting-state functional magnetic resonance imaging data processing. PloS One, 6(9), e25031. doi:10.1371/journal.pone.0025031.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Stark C. E., & Squire L. R. (2001). When zero is not zero: the problem of ambiguous baseline conditions in fMRI. Proceedings of the National Academy of Sciences of the United States of America, 98(22), 12760–12766.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Szaflarski J. P., Holland S. K., Schmithorst V. J., & Byars A. W. (2006). fMRI study of language lateralization in children and adults. Human Brain Mapping, 27(3), 202–212.

    Article  PubMed  PubMed Central  Google Scholar 

  • Thomas C. G., Harshman R. A., & Menon R. S. (2002). Noise reduction in BOLD-based fMRI using component analysis. NeuroImage, 17(3), 1521–1537.

    Article  PubMed  Google Scholar 

  • Van Dijk K. R., Hedden T., Venkataraman A., Evans K. C., Lazar S. W., & Buckner R. L. (2010). Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. Journal of Neurophysiology, 103(1), 297–321.

    Article  PubMed  PubMed Central  Google Scholar 

  • Van Dijk K. R., Sabuncu M. R., & Buckner R. L. (2012). The influence of head motion on intrinsic functional connectivity MRI. NeuroImage, 59(1), 431–438.

    Article  PubMed  PubMed Central  Google Scholar 

  • Warneken F., & Tomasello M. (2007). Helping and cooperation at 14 months of age. Infancy, 11(3), 271–294.

    Article  Google Scholar 

  • Wellman H. M., & Banerjee M. (1991). Mind and emotion: Children’s understanding of the emotional consequences of beliefs and desires. British Journal of Developmental Psychology, 9(2), 191–214.

    Article  Google Scholar 

  • Wheeler M. A., Stuss D. T., & Tulving E. (1997). Toward a theory of episodic memory: the frontal lobes and autonoetic consciousness. Psychological Bulletin, 121(3), 331–354.

    Article  CAS  PubMed  Google Scholar 

  • Whitfield-Gabrieli S., & Nieto-Castanon A. (2012). Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connectivity, 2(3), 125–141. doi:10.1089/brain.2012.0073.

    Article  PubMed  Google Scholar 

  • Whitfield-Gabrieli S., Moran J. M., Nieto-Castañón A., Triantafyllou C., Saxe R., & Gabrieli J. D. (2011). Associations and dissociations between default and self-reference networks in the human brain. NeuroImage, 55(1), 225–232.

    Article  PubMed  Google Scholar 

  • Wimmer H., Hogrefe G. J., & Perner J. (1988). Children’s understanding of informational access as source of knowledge. Child Development, 59(2), 386–396.

    Article  Google Scholar 

  • Xia M., Wang J., & He Y. (2013). BrainNet Viewer: a network visualization tool for human brain connectomics. PloS One, 8(7), e68910.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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(5), e5743. doi:10.1371/journal.pone.0005743.

    Article  PubMed  PubMed Central  Google Scholar 

  • 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. doi:10.1016/j.neuroimage.2013.03.004.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We sincerely thank Dr. Jessica R. Andrews-Hanna and Dr. Daniel S. Margulies for their valuable comments on the manuscript, and Dr. R. Muralikrishnan for his contribution of language editing, as well as Mark Lauckner for his comments on the revision. This work was supported by Research Project of Humanistic and Social Science of Ministry of Education in China (Grant No. 12YJA190023) and NSFC-Guangdong Union Foundation (Grant No. U1201257).

Conflict of interest

Yaqiong Xiao, Hongchang Zhai, Angela D. Friederici, and Fucang Jia declare that they have no conflicts of interest.

Informed consent

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, and the applicable revisions at the time of the investigation. Informed consent was obtained from all patients for being included in the study.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Hongchang Zhai or Fucang Jia.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xiao, Y., Zhai, H., Friederici, A.D. et al. The development of the intrinsic functional connectivity of default network subsystems from age 3 to 5. Brain Imaging and Behavior 10, 50–59 (2016). https://doi.org/10.1007/s11682-015-9362-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11682-015-9362-z

Keywords

Navigation