Functional connectivity in the developing brain: a longitudinal study from 4 to 9months of age
Open accessAbstract
We characterize the development of intrinsic connectivity networks (ICNs) from 4 to 9months of age with resting state magnetic resonance imaging performed on sleeping infants without sedative medication. Data is analyzed with independent component analysis (ICA). Using both low (30 components) and high (100 components) ICA model order decompositions, we find that the functional network connectivity (FNC) map is largely similar at both 4 and 9months. However at 9months the connectivity strength decreases within local networks and increases between more distant networks. The connectivity within the default-mode network, which contains both local and more distant nodes, also increases in strength with age. The low frequency power spectrum increases with age only in the posterior cingulate cortex and posterior default mode network. These findings are consistent with a general developmental pattern of increasing longer distance functional connectivity over the first year of life and raise questions regarding the developmental importance of the posterior cingulate at this age.
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Default-mode network subregions in neonates and young infants are locally correlated but not yet synchronized as one coherent network.
“In neonates and very young infants, these individual compartments demonstrate locally correlated activity, but fail to synchronize into a coherent network (Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Wylie et al., 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Damaraju et al., 2014
Across the first two years, default-mode regions progressively become integrated into an online network.
“Over the course of the first two years of life, these regions undergo a precise evolution to gradually bring the network ‘online’ (Damaraju et al., 2014; Gao et al., 2013; Gao et al., 2009).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Damaraju et al., 2014
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Whitfield-Gabrieli, S., & Ford, J. M. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143049 · Cited by 1,465 · cited 1× · see citing works
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BackgroundA Baseline for the Multivariate Comparison of Resting-State Networks
Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W. E., Segall, J. M., Silva, R. F., Havlíček, M., Rachakonda, S., Fries, J. F., Kalyanam, R., et al. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00002 · Cited by 1,286 · cited 1× · see citing works
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MethodA Structural MRI Study of Human Brain Development from Birth to 2 Years
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MethodSelf-citationEstimating the number of independent components for functional magnetic resonance imaging data
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“Here, we follow their recommendation and use a model order of 30, the average Minimum Description Length (MDL) for single subject datasets (Li et al., 2007), and a high model order of 100, the upper limit recommendedbyAbou-Elseoud et al. (2010) beyond which network stability was found to decrease.”
MethodSelf-citationMapping functionally related regions of brain with functional connectivity MR imaging.
Cordes, D., Haughton, V. M., Arfanakis, K., Wendt, G. J., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2000) · PubMed Central · Cited by 908 · see citing works
Structural MRI of pediatric brain development: what have we learned and where are we going?
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“Recent high-resolution MRI studies identify age-dependent changes in cortical thickness and volume that vary throughout the brain (Giedd and Rapoport, 2010) and may be sensitive to disorders such as prematurity (Phillips et al., 2011), autism (Castelli et al., 2002; McAlonan et al., 2005) or other…”
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Longitudinal Analysis of Neural Network Development in Preterm Infants
Smyser, C. D., Inder, T. E., Shimony, J. S., Hill, J. E., Degnan, A. J., Snyder, A. Z., & Neil, J. J. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq035 · Cited by 791 · cited 1× · see citing works
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MethodSynaptogenesis in human visual cortex—evidence for synapse elimination during normal development
Huttenlocher, P. R., de Courten, C., Garey, L. J., & Van der Loos, H. (1982) · Neuroscience Letters · doi:10.1016/0304-3940(82)90379-2 · Cited by 745 · cited 2× · see citing works
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Saxe, R., Carey, S., & Kanwisher, N. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142044 · Cited by 726 · cited 2× · see citing works
“Components of the default mode network putatively support self reflection (Whitfield-Gabrieli et al., 2011) and social cognition (Saxe et al., 2004), with the posterior cingulate cortex particularly important for emotional processing of faces (Ramasubbu et al., 2007).”
BackgroundComparison of multi‐subject ICA methods for analysis of fMRI data
Erhardt, E. B., Rachakonda, S., Bedrick, E. J., Allen, E. A., Adalı, T., & Calhoun, V. D. (2010) · Human Brain Mapping · doi:10.1002/hbm.21170 · Cited by 724 · cited 3× · see citing works
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BackgroundMethodSelf-citationResting-state networks in the infant brain
Fransson, P., Skiöld, B., Horsch, S., Nordell, A., Blennow, M., Lagercrantz, H., & Åden, U. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704380104 · Cited by 696 · cited 3× · see citing works
“Fransson et al. published the initial work identifying ICNs in infants (Fransson et al., 2007) and numerous subsequent studies of resting state connectivity have provided greater understanding of the functional architecture of the human brain during early development (Doria et al., 2010; Dosenbach…”
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Seidman, L. J., Valera, E. M., & Makris, N. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.019 · Cited by 676 · cited 2× · see citing works
“…changes in cortical thickness and volume that vary throughout the brain (Giedd and Rapoport, 2010) and may be sensitive to disorders such as prematurity (Phillips et al., 2011), autism (Castelli et al., 2002; McAlonan et al., 2005) or other developmental disabilities (Seidman et al., 2005).”
BackgroundSakoğlu, Ü., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0197-8 · Cited by 620 · cited 1× · see citing works
“Recent studies have demonstrated non-stationarity in fMRI time courses (Chang and Glover, 2010; Jones et al., 2012; Sakoglu et al., 2010); therefore future work should consider probing the changes in the dynamics of ICNs (Allen et al., 2012; Cribben et al., 2012).”
BackgroundSelf-citationGao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., & Lin, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811221106 · Cited by 601 · cited 4× · see citing works
“Using ICA to identify regions associatedwith the adult defaultmode network, therewas evidence for a rudimentary default mode network consisting of 6 regions in the infants that expanded to 13 regions at 1 year of age and 19 regions at 2 years (Gao et al., 2009).”
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Doria, V., Beckmann, C. F., Arichi, T., Merchant, N., Groppo, M., Turkheimer, F. E., Counsell, S. J., Murgasova, M., Aljabar, P., Nunes, R. G., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007921107 · Cited by 574 · cited 6× · see citing works
“Consistentwith a prior report (Doria et al., 2010), it is possible that these primary sensory networks are present from birth.”
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“Intrinsic connectivity networks (ICNs) observed during resting state fMRI (rsfMRI) have shown close correspondence to networks observed across several tasks (Calhoun et al., 2008; Filippini et al., 2009) thereby providing an objective way to probe network organization without task confounds.”
BackgroundSelf-citationPersistent default‐mode network connectivity during light sedation
Greicius, M. D., Kiviniemi, V. J., Tervonen, O. A., Vainionpää, V., Alahuhta, S., Reiss, A. L., & Menon, V. (2008) · Human Brain Mapping · doi:10.1002/hbm.20537 · Cited by 514 · cited 2× · see citing works
“Furthermore ICNs are shown to be present under the conditions of mild anesthesia (Greicius et al., 2008; Vincent et al., 2007) as well as sleep (Larson-Prior et al.”
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“…changes in cortical thickness and volume that vary throughout the brain (Giedd and Rapoport, 2010) and may be sensitive to disorders such as prematurity (Phillips et al., 2011), autism (Castelli et al., 2002; McAlonan et al., 2005) or other developmental disabilities (Seidman et al., 2005).”
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Di Martino, A., Kelly, C., Grzadzinski, R., Zuo, X.-N., Mennes, M., Mairena, M. A., Lord, C., Castellanos, F. X., & Milham, M. P. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.10.029 · Cited by 483 · cited 1× · see citing works
“This approach has been used to better characterize clinical disorders of abnormal brain network development such as schizophrenia (Filippini et al., 2009), autism (Di Martino et al., 2011; Jones et al., 2010) and attention deficit hyperactivity disorder (Mennes et al., 2011).”
MethodLongitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years
Gilmore, J. H., Shi, F., Woolson, S. L., Knickmeyer, R. C., Short, S. J., Lin, W., Zhu, H., Hamer, R. M., Styner, M., & Shen, D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr327 · Cited by 456 · see citing works
Cortical network functional connectivity in the descent to sleep
Larson‐Prior, L. J., Zempel, J. M., Nolan, T. S., Prior, F., Snyder, A. Z., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900924106 · Cited by 434 · cited 2× · see citing works
“, 2007) as well as sleep (Larson-Prior et al., 2009).”
BackgroundNon-Stationarity in the “Resting Brain’s” Modular Architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039731 · Cited by 427 · cited 1× · see citing works
“Recent studies have demonstrated non-stationarity in fMRI time courses (Chang and Glover, 2010; Jones et al., 2012; Sakoglu et al., 2010); therefore future work should consider probing the changes in the dynamics of ICNs (Allen et al., 2012; Cribben et al., 2012).”
BackgroundAssociations and dissociations between default and self-reference networks in the human brain
Whitfield-Gabrieli, S., Moran, J. M., Nieto-Castañón, A., Triantafyllou, C., Saxe, R., & Gabrieli, J. D. E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.048 · Cited by 394 · cited 2× · see citing works
“Components of the default mode network putatively support self reflection (Whitfield-Gabrieli et al., 2011) and social cognition (Saxe et al.”
BackgroundFunctional segmentation of the brain cortex using high model order group PICA
Kiviniemi, V. J., Starck, T., Remes, J. J., Long, X., Nikkinen, J., Haapea, M., Veijola, J. M., Moilanen, I. K., Isohanni, M. K., Zang, Y., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20813 · Cited by 368 · cited 6× · see citing works
“This approach has been used to study ICNs in adults (Kiviniemi et al., 2009) but it has not previously been applied to children.”
BackgroundMethodResultInfluentialThe effect of model order selection in group PICA
Abou‐Elseoud, A., Starck, T., Remes, J. J., Nikkinen, J., Tervonen, O. A., & Kiviniemi, V. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.20929 · Cited by 362 · cited 3× · see citing works
“A clear advantage of the higher order ICA decomposition was that it divided relatively large spatial networks into smaller sub-networks such that we could study the functional connectivity between them (Abou-Elseoud et al., 2010).”
BackgroundMethodDynamic connectivity regression: Determining state-related changes in brain connectivity
Cribben, I., Haraldsdottir, R., Atlas, L. Y., Wager, T. D., & Lindquist, M. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.070 · Cited by 283 · cited 1× · see citing works
“Recent studies have demonstrated non-stationarity in fMRI time courses (Chang and Glover, 2010; Jones et al., 2012; Sakoglu et al., 2010); therefore future work should consider probing the changes in the dynamics of ICNs (Allen et al., 2012; Cribben et al., 2012).”
BackgroundGlantz, L. A., Gilmore, J. H., Hamer, R. M., Lieberman, J. A., & Jarskog, L. F. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.06.036 · Cited by 270 · cited 1× · see citing works
“…post-mortem investigations identifying cellular processes in early childhood such as dendritic maturation, fluctuating synaptic density, and myelination that vary depending on brain region and age (Glantz et al., 2007; Huttenlocher and Dabholkar, 1997; Petanjek et al., 2011; Webster et al., 2011).”
BackgroundSmyser, C. D., Snyder, A. Z., & Neil, J. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.073 · Cited by 241 · cited 1× · see citing works
“The technology needed for optimal data acquisition and processing methods for infant studies, and the factors involved in the interpretation of cerebral development in infants on the basis of intrinsic networks obtained from fcMRI, has been recently reviewed (Smyser et al., 2011).”
BackgroundFunctional connectivity MR imaging reveals cortical functional connectivity in the developing brain
Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J. K., Biswal, B., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1256 · Cited by 222 · cited 1× · see citing works
“Using children from this same cross sectional dataset, Lin et al. (2008) showed that the sensorimotor cortex had functional connectivity with larger areas of the brain than the visual cortex did at 1 year of age, but by 2 years both areas were similar.”
Spectral characteristics of resting state networks
Niazy, R. K., Xie, J., Miller, K., Beckmann, C. F., & Smith, S. M. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00017-x · Cited by 175 · cited 1× · see citing works
“A slightly higher upper frequency cut off of 0.15 Hzwas chosen instead of typical 0.08 or 0.1 Hz for the bandpassfiltering as some recent studies have demonstrated the broadband nature of neuronal signals underlying BOLD time courses (Niazy et al., 2011).”
BackgroundInfluentialJones, T. B., Bandettini, P. A., Kenworthy, L., Case, L. K., Milleville, S. C., Martin, A., & Birn, R. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.051 · Cited by 172 · cited 2× · see citing works
“This approach has been used to better characterize clinical disorders of abnormal brain network development such as schizophrenia (Filippini et al., 2009), autism (Di Martino et al., 2011; Jones et al., 2010) and attention deficit hyperactivity disorder (Mennes et al., 2011).”
BackgroundMethodInfant brain probability templates for MRI segmentation and normalization
Altaye, M., Holland, S. K., Wilke, M., & Christian Gaser, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.060 · Cited by 145 · cited 3× · see citing works
“The common template was the 9 month template in the MNI stereotaxic standard space as provided by Cincinnati children's research hospital (Altaye et al., 2008).”
MethodInfluentialTouchpoints: Your Child's Emotional and Behavioral Development
Brazelton, T. B. (1992) · Medical Entomology and Zoology · Cited by 135 · see citing works
Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Elseoud, A. A., Littow, H., Remes, J. J., Starck, T., Nikkinen, J., Nissilä, J., Timonen, M., Tervonen, O. A., & Kiviniemi, V. J. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00037 · Cited by 131 · cited 1× · see citing works
“Additionally as more common group variance is captured at highmodel order ICA, the ICA algorithmwill be able to separate cleaner sources thereby increasing the ability to detect differences between groups (Abou-Elseoud et al., 2011).”
BackgroundP4‐158: Nonstationarity in the ‘resting brain's’ modular architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.1862 · Cited by 116 · see citing works
Functional connectivity of the sensorimotor area in naturally sleeping infants
Liu, W.-C., Flax, J. F., Guise, K. G., Sukul, V., & Benasich, A. A. (2008) · Brain Research · doi:10.1016/j.brainres.2008.05.054 · Cited by 110 · cited 2× · see citing works
“…based analysis of children at 12 months of age, Liu evaluated functional connectivity with the sensorimotor cortex and found greater intrahemispheric than interhemispheric connectivity, suggesting that cross-callosal connectivity develops later than within-hemisphere networks (Liu et al., 2008).”
BackgroundResting-state functional connectivity differences in premature children
Damaraju, E. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00023 · Cited by 104 · see citing works
Self-citationMennes, M., Potler, N. V., Kelly, C. A. M., Martino, A. D., Castellanos, F. X., & Milham, M. P. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00083 · Cited by 63 · cited 2× · see citing works
“This approach has been used to better characterize clinical disorders of abnormal brain network development such as schizophrenia (Filippini et al., 2009), autism (Di Martino et al., 2011; Jones et al., 2010) and attention deficit hyperactivity disorder (Mennes et al., 2011).”
BackgroundMethodShankle, W. R., Rafii, M. S., Landing, B. H., & Fallon, J. H. (1999) · Pediatric and Developmental Pathology · doi:10.1007/s100249900120 · Cited by 58 · cited 1× · see citing works
“…becomes more efficient and thus requires fewer neuronal circuits, which is consistentwith post-mortem studies at this age demonstrating synaptic pruning and cortical thinning as part of normal development (Huttenlocher and Dabholkar, 1997; Huttenlocher et al., 1982; Shankle et al., 1999).”
BackgroundWebster, M. J., Elashoff, M. R., & Weickert, C. S. (2010) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2010.09.006 · Cited by 49 · cited 2× · see citing works
“Such imaging studies are consistent with previous post-mortem investigations identifying cellular processes in early childhood such as dendritic maturation, fluctuating synaptic density, and myelination that vary depending on brain region and age (Glantz et al., 2007; Huttenlocher and Dabholkar, 1997; Petanjek et al.,…”
BackgroundResultAltered resting-state activity in seasonal affective disorder
Elseoud, A. A., Nissilä, J., Liettu, A., Remes, J. J., Jokelainen, J. J., Takala, T., Aunio, A., Starck, T., Nikkinen, J., Koponen, H., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.22164 · Cited by 40 · see citing works
Prematurity Affects Cortical Maturation in Early Childhood
Phillips, J., Montague, E. Q., Aragón, M., Lowe, J. R., Schrader, R. M., Ohls, R. K., & Caprihan, A. (2011) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2011.06.001 · Cited by 33 · cited 2× · see citing works
“Recent high-resolution MRI studies identify age-dependent changes in cortical thickness and volume that vary throughout the brain (Giedd and Rapoport, 2010) and may be sensitive to disorders such as prematurity (Phillips et al., 2011), autism (Castelli et al.”
BackgroundSelf-citationExtracting functional networks with spatial independent component analysis
Esposito, F., & Goebel, R. (2011) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32834897a5 · Cited by 31 · cited 1× · see citing works
“Accounting for more variance at the subject level data reduction improves the estimation of group aggregate spatial maps as well as back reconstructed subjectspecific maps and time-courses (Erhardt et al., 2011; Esposito and Goebel, 2011).”
BackgroundNeural Representation of Maternal Face Processing: A Functional Magnetic Resonance Imaging Study
Ramasubbu, R., Masalovich, S. E., Peltier, S., Holtzheimer, P. E., Heim, C. C., & Mayberg, H. S. (2007) · The Canadian Journal of Psychiatry · doi:10.1177/070674370705201107 · Cited by 20 · cited 2× · see citing works
“, 2004), with the posterior cingulate cortex particularly important for emotional processing of faces (Ramasubbu et al., 2007).”
BackgroundHuttenlocher (1997) · doi:10.1002/(sici)1096-9861(19971020)387:2
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- Hay WW Levin MJ Deterding RR Abzug MJ Sondheimer JM Pediatrics 2012 McGraw-Hill New York, New York 21st ed.
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Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411 · see citing works
“In neonates and very young infants, these individual compartments demonstrate locally correlated activity, but fail to synchronize into a coherent network (Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Wylie et al., 2014).”
BackgroundThe UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
Howell, B., Styner, M. A., Gao, W., Yap, P., Wang, L., Baluyot, K., Yacoub, E. S., Chen, G., Potts, T., Salzwedel, A., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.049 · Cited by 431 · see citing works
Gao, W., Alcauter, S., Elton, A., Hernandez-Castillo, C. R., Smith, J. K., Ramirez, J., & Lin, W. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu088 · Cited by 380 · see citing works
“Consistently, Damaraju et al. (2013) imaged normal pediatric subjects at 4 and 9 months and showed decreased local functional connectivity and increased distant connectivity, exemplifying the dynamic functional maturation process during this critical period.”
BackgroundRashid, B., Arbabshirani, M. R., Damaraju, E., Cetin, M. S., Miller, R. L., Pearlson, G. D., & Calhoun, V. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.051 · Cited by 328 · see citing works
“We expected some connectivity measures to be better captured in a static model and others in a dynamic model (Damaraju et al., 2014).”
BackgroundSelf-citationThe Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis
Mak, L. E., Minuzzi, L., MacQUEEN, G. M., Hall, G. B., Kennedy, S. H., & Milev, R. V. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0438 · Cited by 325 · see citing works
“By 4 years of age, there is marked increase in connectivity and the DMN becomes similar to what is observed in adults (Damaraju et al., 2014; Gao et al., 2009; Lee et al., 2013).”
Developmental connectomics from infancy through early childhood
Cao, M., Huang, H., & He, Y. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.06.003 · Cited by 284 · see citing works
“However, the long-range connections, which were less developed during the prenatal period, primarily appear in 1-year-olds and strengthen in 2-year-olds, making the brain networks more globally integrated [9,10,24,25].”
Dubois, J., Alison, M., Counsell, S. J., Hertz‐Pannier, L., Hüppi, P. S., & Benders, M. J. N. L. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27192 · Cited by 226 · see citing works
“Between 4 and 9 months of age, a similar network localization is observed but the connectivity strength decreases in local networks and increases in more distant networks.(191) Regarding higher-order cognitive processes, an immature default mode network (“protoDMN”) is usually found in newborns, whereas integrated net…”
BackgroundVértes, P. E., & Bullmore, E. T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12365 · Cited by 197 · see citing works
Fitzgibbon, S. P., Harrison, S. J., Jenkinson, M., Baxter, L., Robinson, E. C., Bastiani, M., Božek, J., Karolis, V. R., Cordero‐Grande, L., Price, A. N., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117303 · Cited by 158 · see citing works
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts
Zhang, H., Shen, D. G., & Lin, W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.004 · Cited by 154 · see citing works
Machine-learning to characterise neonatal functional connectivity in the preterm brain
Ball, G., Aljabar, P., Arichi, T., Tusor, N., Cox, D., Merchant, N., Nongena, P., Hajnal, J. V., Edwards, A. D., & Counsell, S. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.055 · Cited by 114 · see citing works
“We defined 71 functional nodes in our population, this is in line with previous studies in developmental populations (Damaraju et al., 2014) and offered good cerebral coverage coupled with anatomically distinct nodes (Fig.”
BackgroundResultEarly human brain development: Starring the subplate
Hadders-Algra, M. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.017 · Cited by 100 · see citing works
“…two postnatal years local connectivity decreases and global connectivity via long-range functional connections increases in a process especially characterized by a complex reorganization of the hubs (Damaraju et al., 2014; Fan et al., 2011; Gao et al., 2016; Hagmann et al., 2010; Yap et al., 2011).”
BackgroundFirst-year development of modules and hubs in infant brain functional networks
Wen, X., Zhang, H., Li, G., Liu, M., Yin, W., Lin, W., Zhang, J., & Shen, D. G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.019 · Cited by 96 · see citing works
“(rs-fMRI) has been emerging for probing functional brain development (Gao et al., 2009; Smyser et al., 2010; Fransson et al., 2011; Gao et al., 2011; Smyser et al., 2011; Barrett and Satpute, 2013; Alcauter et al., 2014; Damaraju et al., 2014; De Asis-Cruz et al., 2015; Gao et al., 2015a; Gao et al., 2015b; Van den He…”
Cannon, E. N., Simpson, E. A., Fox, N. A., Vanderwert, R. E., Woodward, A. L., & Ferrari, P. F. (2015) · Developmental Science · doi:10.1111/desc.12295 · Cited by 93 · see citing works
Use of resting-state functional MRI to study brain development and injury in neonates
Smyser, C. D., & Neil, J. J. (2015) · Seminars in Perinatology · doi:10.1053/j.semperi.2015.01.006 · Cited by 90 · see citing works
Neonatal brain injury and aberrant connectivity
Smyser, C. D., Wheelock, M. D., Limbrick, D. D., & Neil, J. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.057 · Cited by 81 · see citing works
Richmond, S., Johnson, K. A., Seal, M. L., Allen, N. B., & Whittle, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.024 · Cited by 70 · see citing works
França, L. G. S., Ciarrusta, J., Gale‐Grant, O., Fenn‐Moltu, S., Fitzgibbon, S. P., Chew, A. T. M., Falconer, S., Dimitrova, R., Cordero‐Grande, L., Price, A. N., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-44050-z · Cited by 72 · see citing works
“State); one state represented high synchrony for regions mainly in the sensorimotor cortex (SM State); and one state comprised high levels of synchronisation in the frontal cortex, angular gyrus, and posterior cingulate gyrus (for simplicity we refer to this as frontoparietal or FP state).”
Naturalistic Language Input is Associated with Resting-State Functional Connectivity in Infancy
King, L. S., Camacho, M. C., Montez, D. F., Humphreys, K. L., & Gotlib, I. H. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0779-20.2020 · Cited by 66 · see citing works
“A study focused on development from four to ninemonths found that the strength of connectivity decreased in all ICA-identified networks except the default mode, including in the auditory and temporal networks (Damaraju et al., 2014).”
BackgroundPruett, J. R., Kandala, S., Hoertel, S., Snyder, A. Z., Elison, J. T., Nishino, T., Feczko, E., Dosenbach, N. U. F., Nardos, B., Power, J. D., et al. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.003 · Cited by 57 · see citing works
“Some investigators have reported increasing long- /decreasing short-range functional connectivity, with increased default mode network connectivity between four and nine months (Damaraju et al., 2013).”
Ciarrusta, J., Dimitrova, R., Batallé, D., O’Muircheartaigh, J., Cordero‐Grande, L., Price, A. N., Hughes, E., Kangas, J., Perry, E., Javed, A., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0805-y · Cited by 62 · see citing works
Bulgarelli, C., de Klerk, C. C. J. M., Richards, J. E., Southgate, V., Hamilton, A. F. D. C., & Blasi, A. (2020) · Human Brain Mapping · doi:10.1002/hbm.24974 · Cited by 61 · see citing works
Hu, Z., Liu, G., Dong, Q., & Niu, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00476 · Cited by 60 · see citing works
“With the development of the brain, functional connectivity undergoes substantial changes, which demonstrate the strengthening and pruning of brain connectivity between different cortical regions (Damaraju et al., 2014; Cao et al., 2017b).”
BackgroundPetanjek, Z., Sedmak, D., Džaja, D., Hladnik, A., Rašin, M. R., & Milošević, N. J. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00122 · Cited by 64 · see citing works
Manza, P., Zhang, S., Hu, S., Chao, H. H., Leung, H., & Li, C.-S. R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.016 · Cited by 54 · see citing works
“These results thus need to be replicated both for the current age range and other developmental stages, as studied for other neural systems (Antonenko et al., 2013; Bernard et al., 2013; Damaraju et al., 2014; Gabard-Durnam et al., 2014).”
BackgroundSplenium development and early spoken language in human infants
Swanson, M. R., Wolff, J. J., Elison, J. T., Gu, H., Hazlett, H. C., Botteron, K. N., Styner, M. A., Paterson, S., Gerig, G., Constantino, J. N., et al. (2015) · Developmental Science · doi:10.1111/desc.12360 · Cited by 52 · see citing works
“One such region that may be uniquely important early in development is the posterior hub of the default mode network (Damaraju et al., 2014; Gao et al., 2009, 2013; Pruett et al., 2015).”
BackgroundInfant fMRI: A Model System for Cognitive Neuroscience
Ellis, C. T., & Turk‐Browne, N. B. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.005 · Cited by 52 · see citing works
“Hence, most fMRI studies with infants have been done with them sleeping [74,75] or sedated [76,77].”
BackgroundXie, W., Mallin, B. M., & Richards, J. E. (2018) · Developmental Science · doi:10.1111/desc.12703 · Cited by 49 · see citing works
Methodological challenges in the comparison of infant fMRI across age groups
Cusack, R., McCuaig, O., & Linke, A. C. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.003 · Cited by 49 · see citing works
He, L., & Parikh, N. A. (2015) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2015.05.001 · Cited by 45 · see citing works
Delayed maturation of the structural brain connectome in neonates with congenital heart disease
Feldmann, M., Guo, T., Miller, S. P., Knirsch, W., Kottke, R., Hagmann, C. F., Latal, B., & András, J. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa209 · Cited by 44 · see citing works
“This increasing efficiency is paralleled by decreasing segregation as result of synaptic pruning and the refinement of the specialized sub-networks (Damaraju et al. , 2014).”
Bulgarelli, C., Blasi, A., Arridge, S., Powell, S., de Klerk, C. C. J. M., Southgate, V., Brigadoi, S., Penny, W. D., Tak, S., & Hamilton, A. F. D. C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.022 · Cited by 43 · see citing works
“…2014; Righi et al., 2014; T oth et al., 2017), while most of the studies using fMRI have focused on resting-state connectivity in sleeping infants (Damaraju et al., 2014; Emberson et al., 2015; Fransson et al., 2011; Gao et al., 2016; Kwon et al., 2016; Lin et al., 2008; Lu et al., 2010; Marrus…”
Sleep State Modulates Resting-State Functional Connectivity in Neonates
Lee, C. W., Blanco, B., Dempsey, L. A., Chalia, M., Hebden, J. C., Caballero‐Gaudes, C., Austin, T., & Cooper, R. J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00347 · Cited by 45 · see citing works
“…most of these studies utilize functional connectivity MRI (fcMRI) to identify RSNs (Fransson et al., 2007; Doria et al., 2010; Smyser et al., 2010; Damaraju et al., 2014), functional near-infrared spectroscopy (fNIRS) has emerged as a promising modality due to its practical advantages, which…”
BackgroundBrain functional network connectivity development in very preterm infants: The first six months
He, L., & Parikh, N. A. (2016) · Early Human Development · doi:10.1016/j.earlhumdev.2016.06.002 · Cited by 38 · see citing works
Control networks of the frontal lobes
Marek, S. A., & Dosenbach, N. U. F. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00018-5 · Cited by 37 · see citing works
Ontogeny of Sleep and Its Functions in Infancy, Childhood, and Adolescence
Grigg-Damberger, M. M. (2016) · Springer eBooks · doi:10.1007/978-3-319-28640-2_1 · Cited by 34 · see citing works
The developing brain structural and functional connectome fingerprint
Ciarrusta, J., Christiaens, D., Fitzgibbon, S., Dimitrova, R., Hutter, J., Hughes, E., Duff, E., Price, A., Cordero-Grande, L., Tournier, J.-D., et al. (2021) · bioRxiv · doi:10.1016/j.dcn.2022.101117 · Cited by 31 · see citing works
A size‐adaptive 32‐channel array coil for awake infant neuroimaging at 3 Tesla MRI
Ghotra, A., Kosakowski, H. L., Takahashi, A., Etzel, R., May, M. W., Scholz, A., Jansen, A., Wald, L. L., Kanwisher, N., Saxe, R. R., et al. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28791 · Cited by 31 · see citing works
Fair, D. A., Dosenbach, N. U. F., Moore, A. H., Satterthwaite, T. D., & Milham, M. P. (2021) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-085124 · Cited by 30 · see citing works
“These sensory and association networks undergo subtle refinements and strengthening over the first two years of life and by age two bear substantial resemblance to their adult counterparts (Alcauter et al. 2015; Damaraju et al. 2014; Gao et al. 2015a,b; Graham et al. 2015).”
BackgroundThe Timing of Brain Maturation, Early Experience, and the Human Social Niche
Finlay, B. L., & Uchiyama, R. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00134-2 · Cited by 31 · see citing works
Blanco, B., Molnar, M. T., Carreiras, M., Collins-Jones, L. H., Vidal-Rosas, E. E., Cooper, R. J., & Caballero‐Gaudes, C. (2021) · Neurophotonics · doi:10.1117/1.nph.8.2.025011 · Cited by 27 · see citing works
“18,28,81,83 Due to the marked spatial symmetry observed in components FCC 3 to FCC 8, we presented them in pairs in Fig.”
Functional Connectivity of the Developing Mouse Cortex
Rahn, R. M., Brier, L. M., Bice, A. R., Reisman, M. D., Dougherty, J. D., & Culver, J. P. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab312 · Cited by 25 · see citing works
Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder
Wilcox, C., Calhoun, V., Rachakonda, S., Claus, E., Littlewood, R. A., Mickey, J., Arenella, P., & Hutchison, K. (2017) · Psychiatry research. Neuroimaging · doi:10.1016/j.pscychresns.2017.04.011 · Cited by 22 · see citing works
“Although 30 components are more frequently used, 100 component ICA is increasingly common (Damaraju et al., 2014; Wu et al., 2015).”
BackgroundSelf-citationWang, S., Chen, B., Yu, Y., Yang, H., Cui, W., Fan, G., & Jian, L. (2021) · Human Brain Mapping · doi:10.1002/hbm.25548 · Cited by 23 · see citing works
“At this stage, the DMN is still in the process of rapid development (Damaraju et al., 2014; Gao et al., 2016).”
BackgroundBerchicci, M., Tamburro, G., & Comani, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00039 · Cited by 24 · see citing works
“Damaraju et al. (2014) recently characterized the development of intrinsic connectivity networks (ICNs) in infants aged between 4 and 9 months with resting state MRI (rsMRI) performed while sleeping without sedative medication.”
BackgroundInfluentialTsang, T., Green, S. A., Liu, J., Lawrence, K. E., Jeste, S., Bookheimer, S. Y., & Dapretto, M. (2024) · Communications Biology · doi:10.1038/s42003-024-06016-9 · Cited by 24 · see citing works
“Nostatisticalmethodswereusedtopre-determinesamplesize,butour samplesizeislargerthanwhathasbeenreportedinpreviouspublications evaluatingresting-stateconnectivityinearlyinfancy 44 – 46 .”
Development of Dynamic Functional Architecture during Early Infancy
Wen, X., Wang, R., Yin, W., Lin, W., Zhang, H., & Shen, D. G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa128 · Cited by 22 · see citing works
Zhang, F., Moerman, F., Niu, H., Warreyn, P., & Roeyers, H. (2022) · Autism Research · doi:10.1002/aur.2827 · Cited by 21 · see citing works
“In typically developing infants, functional integration and segregation of brain networks undergo maturation during the first year of life, generally manifested as increasing connectivity in functionally-relevant regions (Damaraju et al., 2014; Huang et al., 2015).”
BackgroundNormal Cerebellar Development by Qualitative and Quantitative MR Imaging
Brossard‐Racine, M., & Limperopoulos, C. (2016) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2016.03.004 · Cited by 20 · see citing works
Li, C., Deng, Y.-J., He, Y., Zhai, H., & Jia, F. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.253526 · Cited by 19 · see citing works
“These findings are somewhat consistent with those of a study of 4-to 9-month-old children (Damaraju et al., 2014).”
Development and emergence of functional network asymmetry in 3- to 9-month-old infants
Liu, G., Huo, E., Liu, H., Jia, G., Zhi, Y., Dong, Q., & Niu, H. (2022) · Cortex · doi:10.1016/j.cortex.2022.06.009 · Cited by 18 · see citing works
Karen, T., Kleiser, S., Ostojic, D., Isler, H., Guglielmini, S., Bassler, D., Wolf, M., & Scholkmann, F. (2019) · Neurophotonics · doi:10.1117/1.nph.6.4.045005 · Cited by 18 · see citing works
“increase during early brain development but at a different pace or slope.(67) For a better visualization of the fto-FC in our study, we plotted the stimulus-evoked time course of changes in Δ1⁄2O2Hb , Δ1⁄2tHb , and Δ1⁄2HHb at the left FTL with respect to those at the VC (Fig.”
Functional connectivity patterns predict naturalistic viewing versus rest across development
Sanchez–Alonso, S., Rosenberg, M. D., & Aslin, R. Ν. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117630 · Cited by 17 · see citing works
A neural window on the emergence of cognition
Cusack, R., Ball, G., Smyser, C. D., & Dehaene‐Lambertz, G. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13036 · Cited by 19 · see citing works
Towards personalized precision functional mapping in infancy
Moore, L. A., Hermosillo, R. J. M., Feczko, E., Moser, J., Koirala, S., Allen, M. C., Buß, C., Conan, G., Juliano, A., Marr, M. C., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00165 · Cited by 17 · see citing works
“…in both short-range connectivity between anatomically proximal regions and long-range global connections between anatomically distant regions ( Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Moore et al., 2023; Smyser et al., 2010; Sylvester et al., 2022; Wylie et al., 2014).”
BackgroundEffect of prewhitening in resting-state functional near-infrared spectroscopy data
Blanco, B., Molnar, M. T., & Caballero‐Gaudes, C. (2018) · Neurophotonics · doi:10.1117/1.nph.5.4.040401 · Cited by 18 · see citing works
Derome, M., Fonseca-Pedrero, E., Badoud, D., Morosan, L., van de Ville, D., Lazeyras, F., Eliez, S., Chan, R., Rudrauf, D., Schwartz, S., et al. (2018) · Schizophrenia bulletin · doi:10.1093/schbul/sby031 · Cited by 15 · see citing works
Sleep and brain evolution across the human lifespan: A mutual embrace
Mutti, C., Misirocchi, F., Zilioli, A., Rausa, F., Pizzarotti, S., Spallazzi, M., & Parrino, L. (2022) · Frontiers in Network Physiology · doi:10.3389/fnetp.2022.938012 · Cited by 15 · see citing works
“, frontal to visual and frontal to sensorimotor regions), with the exception of the posterior cingulate cortex which maintains a high level of intra-network connectivity profile (Damaraju et al., 2014).”
BackgroundToich, J. T. F., Taylor, P. A., Holmes, M., Gohel, S., Cotton, M. F., Dobbels, E., Laughton, B., Little, F., van der Kouwe, A. J. W., Biswal, B. B., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00635 · Cited by 15 · see citing works
Longitudinally consistent estimates of intrinsic functional networks
Zhao, Q., Kwon, D., Müller‐Oehring, E. M., Berre, A. L., Pfefferbaum, A., Sullivan, E. V., & Pohl, K. M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24541 · Cited by 14 · see citing works
“Existing longitudinal studies have applied cross-sectional approaches to identify subject-specific IFNs; that is, IFNs are esti- mated independently for rs-fMRI of each visit (Damaraju et al., 2014; Gao, Alcauter, Smith, Gilmore, & Lin, 2015; Odish et al., 2015; van der Horn et al., 2017).”
BackgroundPredictive modeling of neurobehavioral state and trait variation across development
Sanchez–Alonso, S., & Aslin, R. Ν. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100855 · Cited by 14 · see citing works
“In these studies, the term ‘state’ refers to whole-brain stable FC configurations recurring across participants and time (Allen et al., 2014; Damaraju et al., 2014; Gonzalez-Castillo et al., 2015; Valsasina et al., 2019).”
BackgroundInhibitory control development from infancy to early childhood: A longitudinal fNIRS study
Fiske, A., Mortimer, A., Collins-Jones, L. H., de Klerk, C. C. J. M., Gattas, S., Dvergsdal, H., Scerif, G., & Holmboe, K. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101557 · Cited by 13 · see citing works
“A. Fiske et al. Whilst previous longitudinal research has examined resting state functional connectivity development in infancy (Damaraju et al., 2014), as well as the functional activation underpinning working memory in infancy (Reyes et al., 2020) and cognitive flexibility in early childhood…”
Torres, E. R., Tumey, T. A., Dean, D., Kassahun‐Yimer, W., Lopez-Lambert, E., & Hitchcock, M. (2020) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2020.103551 · Cited by 13 · see citing works
“Scan times were not reported in 38% of articles with success rates ranging from 43–100% x = 87.4% (Bartha et al., 2007; Damaraju et al., 2014; Golan et al., 2011; Groves et al., 2012; Inder et al., 2005; Knickmeyer et al., 2008; Lin et al., 2008; Maas et al., 2004; McNally et al., 1997; Miller et…”
BackgroundMethodInfluentialThe Timing of Brain Maturation, Early Experience, and the Human Social Niche
Finlay, B. L., & Uchiyama, R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820584-6.00034-9 · Cited by 11 · see citing works
Li, X., Chen, H., Hu, Y., Larsen, R. J., Sutton, B. P., McElwain, N. L., & Gao, W. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad117 · Cited by 12 · see citing works
Spatial development of brain networks during the first six postnatal months
Seraji, M., Shultz, S., Li, Q., Fu, Z., Calhoun, V. D., & Iraji, A. (2025) · Communications Biology · doi:10.1038/s42003-025-08913-z · Cited by 16 · see citing works
“Similarly, Damaraju et al. found increasing coherence within the posterior DMN between 4 and 9 months, and noted that executive and frontoparietal networks showed more prolonged maturation 66 .”
Self-citationA 1-Tesla MRI system for dedicated brain imaging in the neonatal intensive care unit
Berson, E. R., Mozayan, A., Peterec, S. M., Taylor, S. N., Bamford, N. S., Ment, L. R., Rowe, E., Lisse, S., Ehrlich, L., Silva, C. T., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1132173 · Cited by 11 · see citing works
“Over the past two decades, MRI has been increasingly used in neonates and infants to elucidate patterns of brain development (Damaraju et al., 2014; Kline et al., 2021; Zhang et al., 2021) and to quickly and accurately diagnose suspected intraparenchymal pathologies, such as ischemia and hemorrhage (Reddy, 2022).”
BackgroundDevelopmental implications of children’s brain networks and learning
Chan, J. S. Y., Wang, Y., Yan, J. H., & Chen, H. (2016) · Reviews in the Neurosciences · doi:10.1515/revneuro-2016-0007 · Cited by 11 · see citing works
“In addition, functional network segregation and integration proceed from childhood to adulthood, which is characterized by an increase in distant networks and a decrease in local networks (Fair et al., 2009; Vogel et al., 2010; Damaraju et al., 2014).”
BackgroundSensorimotor contingencies in congenital hearing loss: The critical first nine months.
Kral, A., Kishon-Rabin, L., O'Donoghue, G. M., & Romeo, R. R. (2025) · Hearing Research · doi:10.1016/j.heares.2025.109401 · Cited by 7 · see citing works
Mueller, I., Rodriguez, R. X., Pini, N., Holland, C. M., Ababio, R., Inala, S., Delapenha, K., Mahmoodi, V., Khaitova, M., Hao, X., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101525 · Cited by 6 · see citing works
Frontoparietal network and neuropsychological measures in typically developing children
Solis, I., Janowich, J., Candelaria‐Cook, F. T., Collishaw, W., Wang, Y., Wilson, T. W., Calhoun, V. D., Ciesielski, K. T. R., & Stephen, J. M. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107914 · Cited by 6 · see citing works
Self-citationBulgarelli, C., Blasi, A., McCann, S., Milosavljevic, B., Ghillia, G., Mbye, E., Touray, E., Fadera, T., Acolatse, L., Moore, S. E., et al. (2026) · eLife · doi:10.1101/2024.01.02.573930 · Cited by 6 · see citing works
“Additionally, we observed long-range right frontal-posterior FC increased with age and exhibited positive correlations at 24 months, as consistent with previous infant studies (29, 31).”
Rashid, B., Arbabshirani, M. R., Damaraju, E., Millar, R., Cetin, M. S., Pearlson, G. D., & Calhoun, V. D. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7163861 · Cited by 6 · see citing works
“In addition, we expected some connectivity measures to be better captured in a static model and others in a dynamic model [12].”
BackgroundSelf-citationAltered Salience Network Connectivity in 6-Week-Old Infants at Risk for AutismPreprint
Tsang, T., Green, S. A., Liu, J., Lawrence, K. E., Jeste, S., Bookheimer, S. Y., & Dapretto, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.27.466195 · Cited by 6 · see citing works
Bulgarelli, C., Blasi, A., McCann, S., Milosavljevic, B., Ghillia, G., Mbye, E., Touray, E., Fadera, T., Acolatse, L., Moore, S. E., et al. (2025) · eLife · doi:10.7554/elife.94194.2 · Cited by 6 · see citing works
Developmental human brain connectome from fetal stage to early childhood
Wu, W., Huang, H., Zhu, T., Tan, S., & Ouyang, M. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101704 · Cited by 6 · see citing works
“…connectivity develops first, followed by the enhancement of long-range functional connectivity and its continued maturation throughout childhood (Cao et al., 2017a; Damaraju et al., 2014b; Fair et al., 2009; Jakab et al., 2014; Smyser et al., 2010; Thomason et al., 2014; Thomason et al., 2015).”
InfluentialBurr, S. D. L., Pirazzoli, L., Dopierała, A. A. W., Bejjanki, V. R., Nelson, C. A., & Emberson, L. L. (2024) · Journal of Experimental Psychology General · doi:10.1037/xge0001531 · Cited by 5 · see citing works
“In particular, while there was evidence for the expected increase in long-range connectivity, there was no expected decrease in short-range connectivity (Damaraju et al., 2014).”
BackgroundTo, X. V., Vegh, V., & Nasrallah, F. A. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109411 · Cited by 5 · see citing works
Born Connected: The Early Emergence of Adult-Like Multi-Scale Brain Networks in InfancyPreprint
Bajracharya, P., Fu, Z., Mirzaeian, S., Calhoun, V. D., Shultz, S., & Iraji, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.27.625681 · Cited by 7 · see citing works
“Prior infant studies have identified several ICNs 7–9, 11, 12, 32– 34 , yet only a subset Our findings offer critical insights into neurodevelopment, particularly the early formation of brain network architecture.”
Self-citationCOVID-19 Pandemic–Related Prenatal Distress and Infant Functional Brain Development
Jaffer, A., Manning, K. Y., Giesbrecht, G. F., Tomfohr‐Madsen, L. M., & Lebel, C. A. (2024) · JAACAP Open · doi:10.1016/j.jaacop.2024.09.008 · Cited by 3 · see citing works
“12 Even across this smaller age range (2 months), changes were apparent in these 2 networks.”
InfluentialMucignat‐Caretta, C., & Soravia, G. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1266766 · Cited by 5 · see citing works
“Also, connections between areas mature with time: for example, at 9 months the connections over longer distance are emerging, while local network connectivity decreases (Damaraju et al., 2014).”
BackgroundSantamaria, L., Georgieva, S., Noreika, V., Canales‐Johnson, A., & Leong, V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.18.670844 · Cited by 2 · see citing works
“…from infancy to adulthood is not yet well known, functional connectivity measures in infancy show increased complexity and e ffi ciency (Boersma et al., 2011; Cao et al., 2016; Damaraju et al., 2014) and a significant reorganisation in adolescence (Gabard-Durnam et al., 2014; Uhlhaas et al., 2009).”
Wigley, I. L. C. M., Lautarescu, A., Vartiainen, E., Pulli, E. P., Hashempour, N., Merisaari, H., Bano, W., Luotonen, S., Jolly, A., Suuronen, I., et al. (2026) · Pediatric Research · doi:10.1038/s41390-025-04726-2 · Cited by 2 · see citing works
“78 Fourth, motion during scanning was a signi fi cant covariate in our analyses, and although we adjusted for it statistically, its in fl uence represents a potential limitation.”
Zhao, Z., Li, R., Wu, Y., Li, M., & Wu, D. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101496 · Cited by 2 · see citing works
“However, it remains inconsistent that the FNC increases (Gao et al., 2015) or decreases (Damaraju et al., 2014; Zhang et al., 2017) with age during early brain development in previous reports.”
Neuroimaging of early brain development and the consequences of preterm birth
Lean, R. E., Neil, J. J., & Smyser, C. D. (2021) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-816633-8.00022-3 · Cited by 2 · see citing works
Ventura, S., Ryan, M. A., Mathieson, S., Livingstone, V., O’Toole, J. M., & Boylan, G. B. (2025) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2025.114728 · Cited by 1 · see citing works
Seraji, M., Shultz, S., Li, Q., Fu, Z., Iraji, A., & Calhoun, V. D. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253059 · Cited by 1 · see citing works
Self-citationBenchmarking functional brain network organization in childhood and its similarity to adults
Ali, S. A., Demeter, D. V., Baim, A. R., Koithan, E. M., Feigelis, M., Zreik, S., Ahern, J., Chang, S. E., Park, S., Gordon, E. M., et al. (2026) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2026.1818662 · Cited by 1 · see citing works
“…networks emerge from localized patterns of connectivity that gradually integrate into distributed systems supporting flexible cognition (Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Damaraju et al., 2014; Wylie et al., 2014; De Asis-Cruz et al., 2015; Van Den Heuvel et al., 2015).”
Blanco, B., Molnar, M. T., Carreiras, M., Collins-Jones, L. H., Vidal-Rosas, E. E., Cooper, R. J., & Caballero‐Gaudes, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.10.035469 · Cited by 1 · see citing works
Bulgarelli, C., Blasi, A., McCann, S., Milosavljevic, B., Ghillia, G., Mbye, E., Touray, E., Fadera, T., Acolatse, L., Moore, S. E., et al. (2024) · eLife · doi:10.7554/elife.94194 · Cited by 1 · see citing works
“Additionally, we observed long-range right frontal-posterior FC increased with age and exhibited positive correlations at 24 months, as consistent with previous infant studies ( Damaraju et al., 2014 ; Bulgarelli et al., 2020b ).”
The Mind Research Network - Mental Illness Neuroscience Discovery Grant
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Lifespan changes in brain rhythms and networks
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The Timing of Brain Maturation, Early Experience and the Human Social NichePreprint
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Maternal and Fetal Conditions With Consequences for the Fetal Brain
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Trajectories of functional connectivity in brain maturation
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Critical states in sleep EEG: developmental evolution across 3192 clinical children aged 0-18 years
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- Authors
- Damaraju, E., Caprihan, A., Lowe, J. R., Allen, E. A., Calhoun, V. D., & Phillips, J. P.
- Affiliations
- Mind Research Network (US)
- University of New Mexico (US)
- Corresponding author
- Damaraju, E.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 84
- Pages
- 169-180
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3881974
- OpenAlex
- W1967832316
- Cited by
- 103
- References
- 69
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 10 · 2023: 4 · 2022: 5 · 2021: 11 · 2020: 14 · 2019: 5 · 2018: 11 · 2017: 4 · 2016: 9 · 2015: 8 · 2014: 4 · 2013: 1
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Delle Foundation
- NIH (R01-EB000840)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- functional connectivity, brain development, infants, resting-state networks, resting-state fMRI, default mode network, posterior cingulate cortex, longitudinal development
- MeSH terms
- Aging, Brain, Child, Child, Preschool, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Male, Nerve Net, Neural Pathways, Neuronal Plasticity, Sensitivity and Specificity, Sleep, Reproducibility of Results, Connectome
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