The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.
Development of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Abstract
Human cerebral development is remarkably protracted. Although microstructural processes of neuronal maturation remain accessible only to morphometric post-mortem studies, neuroimaging tools permit the examination of macrostructural aspects of brain development. The analysis of resting-state functional connectivity (FC) offers novel possibilities for the investigation of cerebral development. Using seed-based FC methods, we examined the development of 5 functionally distinct cingulate-based intrinsic connectivity networks (ICNs) in children (n = 14, 10.6 +/- 1.5 years), adolescents (n = 12, 15.4 +/- 1.2) and young adults (n=14, 22.4 +/- 1.2). Children demonstrated a more diffuse pattern of correlation with voxels proximal to the seed region of interest (ROI) ("local FC"), whereas adults exhibited more focal patterns of FC, as well as a greater number of significantly correlated voxels at long distances from the seed ROI. Adolescents exhibited intermediate patterns of FC. Consistent with evidence for different maturational time courses, ICNs associated with social and emotional functions exhibited the greatest developmental effects. Our findings demonstrate the utility of FC for the study of developing functional organization. Moreover, given that ICNs are thought to have an anatomical basis in neuronal connectivity, measures of FC may provide a quantitative index of brain maturation in healthy subjects and those with neurodevelopmental disorders.
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In the citing paper
“Prior to 2012, multiple studies had found that functional connectivity between anatomically proximate ROIs gradually decreased, whereas long-range functional connections, especially anterior-posterior links, gradually increased until adulthood (Dosenbach et al., 2010; Fair et al., 2009; Kelly et al., 2009; Supekar 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 Kelly et al., 2009
In the citing paper
“Also, the greatest development occurred in those ICNs associated with social and emotional functions.”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [35]
In the citing paper
“They found that the pattern of correlation with voxels proximal to the seed region of interest was age-dependent: the pattern was diffuse in children (mean age 10.6 years), was less diffuse in adolescents (mean age 15.4 years), and showed signs of becoming focal in young adults (mean age 22.4 years).”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [35]
In the citing paper
“Kelly and colleagues provide additional evidence that brain maturation extends beyond adolescence into young adulthood (35).”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [35]
In the citing paper
“diffuse patterns of local FC are gradually replaced by a distributed architecture, dominated by focal long-range connections (3-6).”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
In the citing paper
“Since development is characterized by an overall increase in long-range functional connections (3-5;25), these studies suggest dysmaturation as a core feature of ASD pathophysiology.”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
In the citing paper
“This resembles TDC functional architecture rather than that of TA (3;5;25), suggesting developmental immaturity in ASD.”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
In the citing paper
“initial R-fMRI studies of adults with ASD demonstrated reduced long-range FC in large-scale networks (3;e.g., 5;50).”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
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“According to the previous studies on ACC subdivisions (Kelly et al., 2008; Margulies et al., 2007), five seeds defined for each hemisphere in MNI space divided the ACC into five districts, including the caudal ACC (A1; MNI = ± 5, −10, 37), dorsal ACC (A2; MNI = ± 5, 10, 33), rostral ACC (A3; MNI = ± 5, 27, 21), perige…”
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Cao, W., Luo, C., Zhu, B., Zhang, D., Dong, L., Gong, J., Gong, D., He, H., Tu, S., Yin, W., et al. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00280 · Cited by 61
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“Interestingly, the peri-genual ACC, which was over-activated in Mr. T.A., has been shown to play a central role in social cognitive functions, such as mentalizing or self-reference (Kelly et al., 2008).”
BackgroundNeural anomaly and reorganization in speakers who stutter
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“This is consistent with other studies showing less circumscribed patterns of connectivity in child and adolescent samples (Kelly et al., 2009).”
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“This has been observed for instance in a reduction in short-length connections for the SM and anterior cingulate cortex in young children (Kelly et al., 2008; Supekar et al., 2009), and for segregation of frontal regions and the DMN in late childhood (Fair et al., 2009).”
BackgroundHenje, E., Connolly, C. G., Ho, T. C., LeWinn, K. Z., Mobayed, N., Han, L. K. M., Paulus, M. P., Wu, J., Simmons, A. N., & Yang, T. T. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.03.012 · Cited by 57
“Paradoxically, the maturation process of the neural circuits involved in emotional processing (Giedd et al., 2006; Kelly et al., 2009; Romeo and McEwen, 2006) may contribute to increased vulnerability to depression during adolescence (Weir et al.”
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BackgroundBDNF genotype modulates resting functional connectivity in children
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“A number of analysis approaches have been described (Fox and Raichle, 2007) and are potentially applicable to FASD including placing multiple seeds in known anatomical networks (Kelly et al., 2009; Margulies et al., 2007) or applying independent components analysis in a purely empirical derivation of functional networ…”
BackgroundMethodSato, J. R., Salum, G. A., Gadelha, A., Vieira, G., Zugman, A., Picon, F. A., Pan, P. M., Hoexter, M. Q., Anés, M., Moura, L. M., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.063 · Cited by 54
“…are a result of important refinements in complex neural dynamics and may ultimately reflect the organization of the human brain (Fair et al., 2009; Kelly et al., 2009; Stevens et al., 2009; Dosenbach et al., 2010; Blakemore, 2012). o Bangu, Santo André, SP, Brazil, The brain can be conceptualized…”
On Distance‐Based Permutation Tests for Between‐Group Comparisons
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“Some recent work (e.g., Fair et al., 2008; Kelly et al., 2009) has examined how functional networks of this kind mature from childhood to adulthood.”
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The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex
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BackgroundSelf-citationNeural correlates of empathic accuracy in adolescence
Kral, T. R. A., Solis, E., Mumford, J. A., Schuyler, B. S., Flook, L., Rifken, K. M., Patsenko, E. G., & Davidson, R. J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx099 · Cited by 49
“Conversely, in regions underlying ES, including ACC and right IPL, activation was related to lower empathic accuracy (or greater empathic accuracy related to less activation in these regions; depicted in blue in Figure 3A).”
InfluentialGaudio, S., Olivo, G., Zobel, B. B., & Schiöth, H. B. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0173-z · Cited by 49
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“…modeling nonneuronal signals derived from white matter, cerebrospinal fluid, global signal, and six motion parameters as nuisance variables (e.g., Kelly et al., 2009) using FEAT from FSL. Specific within-subject contrasts included: main effects of left and right amygdala, mean amygdala (left and…”
Self-citationCamchong, J., MacDonald, A. W., Mueller, B. A., Nelson, B. G., Specker, S. M., Slaymaker, V. J., & Lim, K. O. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.03.024 · Cited by 44
Ortiz, E., Stingl, K. T., Muenssinger, J., Braun, C., Preissl, H. T., & Belardinelli, P. (2012) · Computational and Mathematical Methods in Medicine · doi:10.1155/2012/186353 · Cited by 44
“…8 pages doi:10.1155/2012/186353 Research Article Weighted Phase Lag Index and Graph Analysis: Preliminary Investigation of Functional Connectivity during Resting State in Children Erick Ortiz,1 Krunoslav Stingl,1 Jana Münßinger,1 Christoph Braun,1, 2, 3 Hubert Preissl,1, 4 and Paolo Belardinelli1”
BackgroundInfluentialYokoyama, S., Okamoto, Y., Takagaki, K., Okada, G., Takamura, M., Mori, A., Shiota, S., Ichikawa, N., Jinnin, R., & Yamawaki, S. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.10.021 · Cited by 44
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“…(spherical seed with center located at MNI: 0,44,10 and radius 10 mm) (Blakemore 2008; Chai et al. 2011; Conklin et al. 2007; Cullen et al. 2009; Kelly et al. 2009; Margulies et al. 2007) and left (spherical seed with center located at MNI: −34,42,20 and radius 10 mm) and right DLPFC (spherical…”
BackgroundMethodExploring resting-state functional connectivity with total interdependence
Wen, X., Mo, J., & Ding, M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.079 · Cited by 46
“, 2006), correlate with behavior during development and aging (Beason-Held et al., 2009; Church et al., 2009; Jolles et al., 2011; Kelly et al., 2009), and predict brain pathology (He et al.”
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Yu, D., Yuan, K., Luo, L., Zhai, J., Bi, Y., Xue, T., Ren, X., Zhang, M., Ren, G., & Lu, X. (2017) · Molecular Pain · doi:10.1177/1744806917737461 · Cited by 42
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Camchong, J., Lim, K. O., & Kumra, S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw015 · Cited by 138
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InfluentialReconfiguration of parietal circuits with cognitive tutoring in elementary school children
Jolles, D., Supekar, K., Richardson, J. L., Tenison, C., Ashkenazi, S., Rosenberg‐Lee, M., Fuchs, L. S., & Menon, V. (2016) · Cortex · doi:10.1016/j.cortex.2016.08.004 · Cited by 45
“…in increased differentiation between functional brain networks that subserve distinct cognitive processes (Fair et al., 2007; Fox & Raichle, 2007; Jolles, van Buchem, Crone, & Rombouts, 2013; Kelly et al., 2009; Mackey, Singley, & Bunge, 2013; Supekar, Menon, Rubin, Musen, & Greicius, 2008).”
In need of constraint: Understanding the role of the cingulate cortex in the impulsive mind
Golchert, J., Smallwood, J., Jefferies, E., Liem, F., Huntenburg, J. M., Falkiewicz, M., Lauckner, M. E., Oligschläger, S., Villringer, A., & Margulies, D. S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.041 · Cited by 45
Self-citationBuilding an adaptive brain across development: targets for neurorehabilitation must begin in infancy
Edgin, J. O., Clark, C. A. C., Massand, E., & Karmiloff‐Smith, A. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00232 · Cited by 44
“Whilemuch of the axonal wiring of these connections likely is established by 9 months of age in typical development, the efficient coactivation of hubs in these networks continues to develop across childhood and into adolescence, and may be related to increases in myelination and synaptic remodeling (Kelly et al., 200…”
BackgroundFoss, K. D. B., Yuan, W., Diekfuss, J. A., Leach, J. L., Meehan, W. P., III, DiCesare, C. A., Solomon, G. S., Schneider, D. K., MacDonald, J. P., Dudley, J. A., et al. (2019) · Clinical Journal of Sport Medicine · doi:10.1097/jsm.0000000000000753 · Cited by 42
Hirshfeld-Becker, D. R., Gabrieli, J. D. E., Shapero, B. G., Biederman, J., Whitfield-Gabrieli, S., & Chai, X. J. (2019) · Brain Connectivity · doi:10.1089/brain.2018.0646 · Cited by 40
“The sgACC and frontoparietal network are typically anticorrelated in healthy adults and children (Kelly et al., 2009; Margulies et al., 2007), but the resilient group in this study showed positive connectivity between these regions.”
BackgroundMethodFine-grained functional parcellation maps of the infant cerebral cortex
Wang, F., Zhang, H., Wu, Z., Hu, D., Zhou, Z., Girault, J. B., Wang, L., Lin, W., & Li, G. (2023) · eLife · doi:10.7554/elife.75401 · Cited by 46
“, 2016), their links have not been reliably distinguished (Grayson and Fair, 2017; Dosenbach et al., 2010; Kelly et al., 2009).”
BackgroundLifespan Differences in Cortico-Striatal Resting State Connectivity
Bo, J., Lee, C.-M., Kwak, Y., Peltier, S., Bernard, J. A., Buschkuehl, M., Jaeggi, S. M., Wiggins, J. L., Jonides, J. J., Monk, C. S., et al. (2014) · Brain Connectivity · doi:10.1089/brain.2013.0155 · Cited by 40
“Similar L-dopa modulations on the ‘‘cognitive’’ and ‘‘motor’’ circuits have also been reported in healthy YAs (Kelly et al., 2009b).”
BackgroundBakshi, N. K., Pruitt, P. J., Radwan, J., Keshavan, M. S., Rajan, U., Zajac‐Benitez, C., & Diwadkar, V. A. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.01.002 · Cited by 41
Meyer, B. M., Huemer, J., Rabl, U., Boubela, R. N., Kalcher, K., Berger, A., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., et al. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0895-5 · Cited by 41
“The analysis of the main developmental stage (age) effect replicates previous reports and is, therefore, reported only briefly (Fair et al. 2008; Kelly et al. 2009).”
ResultSingh, M. K., Chang, K., Chen, M. C., Kelley, R. G., Garrett, A. S., Mitsunaga, M. M., Bararpour, L., Howe, M. E., Reiss, A. L., & Gotlib, I. H. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.01043.x · Cited by 39
“As such, this finding may represent a departure from typical gray matter pruning and maturation of the ventral and rostral regions of the ACC that occurs during adolescence (43, 44).”
Working memory gating mechanisms explain developmental change in rule-guided behavior
Unger, K., Ackerman, L. K., Chatham, C. H., Amso, D., & Badre, D. (2016) · Cognition · doi:10.1016/j.cognition.2016.05.020 · Cited by 43
“…studies for experience-dependent developmental plasticity of connectivity patterns in widespread cognitive control networks in general and corticostriatal circuits in particular (e.g., Fair et al., 2008; Gianaros et al., 2011; Kelly et al., 2009; van den Bos, Cohen, Kahnt, & Crone, 2011).”
How does the body representation system develop in the human brain?
Fontan, A., Cignetti, F., Nazarian, B., Anton, J., Vaugoyeau, M., & Assaiante, C. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.02.010 · Cited by 39
Wang, X., Zhang, Y., Long, Z., Zheng, J., Zhang, Y., Han, S., Wang, Y., Duan, X., Yang, M., Zhao, J., et al. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.07.014 · Cited by 38
Khundrakpam, B. S., Lewis, J. D., Jeon, S., Kostopoulos, P., Medina, Y. I., Chouinard-Decorte, F., & Evans, A. C. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx317 · Cited by 35
“In fact, converging evidence suggests no connectivity to nominal connectivity within the DMN in children (Fair et al. 2008; Kelly et al. 2009), followed by increased within-network connectivity in adults (Supekar et al. 2010; Sherman et al. 2014).”
BackgroundKlobušiaková, P., Mareček, R., Fousek, J., Výtvarová, E., & Rektorová, I. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180834 · Cited by 40
Fein, G. (2015) · Alcohol research · doi:10.35946/arcr.v37.1.09 · Cited by 38
“…lateral prefrontal cortex and limbic structures (including the hippocampus, amygdala, and anterior thalamus) that are involved in emotional responsiveness and the regulation of behavior in the context of rewarding and punishing outcomes (Drevets et al. 1997; Kelly et al. 2009; Phan et al. 2005).”
Zou, F., Wu, X., Zhai, T., Lei, Y., Shao, Y., Jin, X., Shuwen, T., Wu, B., Wang, L., & Zheng, Y. (2015) · Journal of Neuroscience Research · doi:10.1002/jnr.23608 · Cited by 36
“We also examined the group difference in mean relative head movement (||motion||2009) with the formula (Rosenkranz and Grace, 2001; Kelly et al., 2009)”
MethodRichardson, C., Anderson, M. B., Reid, C. L., & Fox, A. M. (2010) · Developmental Psychobiology · doi:10.1002/dev.20518 · Cited by 37
Scholastic performance and functional connectivity of brain networks in children
Chaddock‐Heyman, L., Weng, T. B., Kienzler, C., Erickson, K. I., Voss, M. W., Drollette, E. S., Raine, L. B., Kao, S., Hillman, C. H., & Kramer, A. F. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190073 · Cited by 41
Bagging improves reproducibility of functional parcellation of the human brain
Nikolaidis, A., Heinsfeld, A. S., Xu, T., Bellec, P., Vogelstein, J. T., & Milham, M. P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116678 · Cited by 38
Self-citationCousijn, J., Zanolie, K., Munsters, R. J. M., Kleibeuker, S. W., & Crone, E. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105780 · Cited by 39
“Anti-correlations between brain areas, also referred to as functional segregation, have previously been associated with better cognitive performance [52,53].”
BackgroundDevelopment of Large-Scale Functional Brain Networks in Children
Supekar, K., Musen, M., & Menon, V. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70984-x · Cited by 36
Resting State Networks' Corticotopy: The Dual Intertwined Rings Architecture
Mesmoudi, S., Perlbarg, V., Rudrauf, D., Messé, A., Pinsard, B., Hasboun, D., Cioli, C., Marrelec, G., Toro, R., Benali, H., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067444 · Cited by 38
Luo, C., Zhang, X., Cao, X., Gan, Y., Li, T., Cheng, Y., Cao, W., Jiang, L., Yao, D., & Li, C. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00032 · Cited by 33
Neuroimaging Findings in Adolescents and Young Adults with Anorexia Nervosa: A Systematic Review
Kappou, K., Ntougia, M., Kourtesi, A., Panagouli, E. D., Vlachopapadopoulou, E. A., Michalacos, S., Gonidakis, F., Mastorakos, G., Ψαλτοπούλου, Θ., Tsolia, M. N., et al. (2021) · Children · doi:10.3390/children8020137 · Cited by 36
“, the ability to control and manage uncomfortable emotions [126,127].”
BackgroundStrait, G. G., McQuillin, S. D., Smith, B. H., & Englund, J. A. (2012) · Advances in School Mental Health Promotion · doi:10.1080/1754730x.2012.736789 · Cited by 38
“Much of the limbic system, including functional connectivity between the anterior cingulate cortex and other cerebral areas, experiences significant development throughout the adolescent years and into early adulthood (Kelly et al., 2009).”
BackgroundWang, Y., Wang, C., Zhou, J., Chen, X., Liu, R., Zhang, Z., Feng, Y., Feng, L., Liu, J., Zhou, Y., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03117-1 · Cited by 35
“The MNI coordinate of the right sgACC (5, 25, − 10), which was derived from previous studies [7, 28], was represented by a sphere with a radius of 4 mm. Additionally, as an exploratory measure, we also examined the rsFC of the left sgACC ( − 5, 25, − 10) using the same methodology.”
BackgroundMethodFerdinand, N. K., & Kray, J. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.01.029 · Cited by 49
Liu, P., Liu, Y., Wang, G., Li, R., Wei, Y., Fan, Y., Yu, Y., Deng, D., & Qin, W. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9730-y · Cited by 35
“Our results showed similar functional connectivity patterns in the PDM patients and healthy controls, consistent with the previous studies (Kelly et al. 2009; Kennis et al. 2015; Margulies et al. 2007).”
BackgroundMethodResultInfluentialEncouraging performance monitoring promotes proactive control in children
Hadley, L. V., Acluche, F., & Chevalier, N. (2019) · Developmental Science · doi:10.1111/desc.12861 · Cited by 36
Izadi‐Najafabadi, S., Rinat, S., & Zwicker, J. G. (2021) · Pediatric Research · doi:10.1038/s41390-021-01517-3 · Cited by 34
Altered Functional Connectivity of the Salience Network in Problematic Smartphone Users
Ahn, J., Lee, D., Namkoong, K., & Jung, Y. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.636730 · Cited by 34
“For four networks, the following spherical seeds with a 6-mm radius were selected: the dorsal anterior cingulate cortex (6 45 9) (28) and the anterior frontoinsular cortex (left anterior frontoinsular cortex:−45 35 9; right anterior frontoinsular cortex: 45 3 15) (29) of the salience network; the bilateral frontal eye…”
MethodDenervaud, S., Knebel, J., Immordino‐Yang, M. H., & Hagmann, P. (2020) · Mind, Brain, and Education · doi:10.1111/mbe.12233 · Cited by 29
Empathy for pain‑related dorsolateral prefrontal activity is modulated by angry face perception
Enzi, B., Amirie, S., & Brüne, M. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4731-4 · Cited by 33
“Empathyrelated activation of the cingulate cortex—a region closely connected to the insular cortex (Kelly et al. 2009)—is commonly observed in affective–motivational subdivisions, whereas the first-hand experience of pain shows an extended activation pattern including brain regions associated with action control (Lamm…”
BackgroundZillé, P., Calhoun, V. D., Stephen, J. M., Wilson, T. W., & Wang, Y. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2721640 · Cited by 32
“It has been previously reported [3], [31] that”
ResultMeyers, J. L., McCutcheon, V. V., Pandey, A. K., Kamarajan, C., de Viteri, S. S., Chorlian, D. B., Salvatore, J. E., Pandey, G., Almasy, L. A., Anokhin, A. P., et al. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.07.905 · Cited by 33
“The brain undergoes its greatest growth and development in the first years of life, with a second phase beginning in adolescence characterized by synaptic pruning, leading to anatomic and functional maturation.(13-16) This second phase of development is most profound in frontal lobe regions of the brain involved in hi…”
Effects of age, sex, and puberty on neural efficiency of cognitive and motor control in adolescents
Schulte, T., Hong, J., Sullivan, E. V., Adolf Pfefferbaum, A., Baker, F. C., Chu, W., Prouty, D., Kwon, D., Meloy, M. J., Brumback, T., et al. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00075-x · Cited by 37
“2016) to enhance processing efficiency in adulthood (Kelly et al. 2009; Luna et al. 2015).”
Resting-state functional connectivity and reading abilities in first and second languages
Zhang, M., Li, J., Chen, C., Xue, G., Lu, Z., Mei, L., Xue, H., Xue, F., He, Q., Chen, C., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.006 · Cited by 35
“However, given that some previous studies in this area regressed out global signal in this step (Kelly et al., 2009; Kelly et al., 2010; Koyama et al., 2010), we also reported results from global signal regression in supplementary materials (Supplementary Figure 1).”
Aberrant local striatal functional connectivity in attention‐deficit/hyperactivity disorder
von Rhein, D. T., Oldehinkel, M., Beckmann, C. F., Oosterlaan, J., Heslenfeld, D. J., Hartman, C. A., Hoekstra, P. J., Franke, B., Cools, R., Buitelaar, J. K., et al. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12529 · Cited by 32
“…development or maturation of functional brain networks has been characterized by both a decrease in short-range, local connectivity strength (segregation) and a simultaneous increase in the strength of long-range, global functional connectivity (integration) (Fair et al., 2009; Kelly et al., 2009).”
Brain Activity Elicited by Positive and Negative Feedback in Preschool-Aged Children
Mai, X., Tardif, T. Z., Doan, S. N., Liu, C., Gehring, W. J., & Luo, Y.-J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018774 · Cited by 33
“This has been evidenced in nonhuman primate studies [9,10], a functional Magnetic Resonance Imaging (fMRI) study [11] and some developmental ERP studies on error-related negativity, which may also be generated by the ACC [12,13,14].”
BackgroundMethodA fuzzy trace theory of adolescent risk taking: Beyond self-control and sensation seeking.
Chick, C. F., & Reyna, V. F. (2011) · American Psychological Association eBooks · doi:10.1037/13493-013 · Cited by 34
Wass, S. V. (2021) · Developmental Review · doi:10.1016/j.dr.2021.100978 · Cited by 36
Neuroaging through the Lens of the Resting State Networks
Cieri, F., & Esposito, R. (2018) · BioMed Research International · doi:10.1155/2018/5080981 · Cited by 32
The emergence of long-range language network structural covariance and language abilities
Qi, T., Schaadt, G., Cafiero, R., Bräuer, J., Skeide, M. A., & Friederici, A. D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.014 · Cited by 31
Yuan, Q., Liang, X., Xue, C., Qi, W., Chen, S., Song, Y., Wu, H., Zhang, X., Xiao, C., & Chen, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1035746 · Cited by 33
“In line with previous studies on ACC subdivisions (Kelly et al., 2009), three seeds were defined for each hemisphere in MNI space: caudal ACC (A1; MNI =± 5, −10, 37), dorsal ACC (A2; MNI =± 5, 10, 33), and subgenual ACC (A3; MNI =± 5, 34, −4) (Figure 1 and Table 1).”
BackgroundThe maturation of mismatch negativity networks in normal adolescence
Cooray, G., Garrido, M. I., Brismar, T., & Hyllienmark, L. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.06.026 · Cited by 30
Wilk, H. A., & Morton, J. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.069 · Cited by 31
“…networks that putatively support moment-to-moment adjustments in control undergo considerable reorganization over development, with the pattern of functional and anatomical connectivity among constituent regions changing markedly over time (Fair et al., 2007; Kelly et al., 2008; Nagy et al., 2004).”
InfluentialWeber, A. M., Soreni, N., & Noseworthy, M. D. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.04.001 · Cited by 31
“In contrast, the ICA method allowed us to identify the RSNA, RSNB and RSNC (Fair et al., 2008; Kelly et al., 2009) as possible precursors to the adult DMN. CCAmethods are also limited by the lack of accepted standards of selecting seed ROIs for the DMN and issues of variability in inter-subject…”
MethodProtracted Development of the Proprioceptive Brain Network During and Beyond Adolescence
Cignetti, F., Fontan, A., Menant, J. C., Nazarian, B., Anton, J., Vaugoyeau, M., & Assaiante, C. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv323 · Cited by 35
“A main finding was the transition from diffuse to more focal FC patterns during adolescence, which echoes previous results on the development of intrinsic FC networks (Kelly et al. 2009; Jolles et al. 2011) and structural (graymatter) covariance networks (Zielinski et al. 2010).”
BackgroundResultInfluential
Metadata
- Authors
- Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P.
- Affiliations
- NYU Langone Health (US)
- New York University (US)
- Humboldt-Universität zu Berlin (DE)
- Nathan Kline Institute for Psychiatric Research (US)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-07-24
- Volume
- 19
- Issue
- 3
- Pages
- 640-657
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2113490642
- Cited by
- 572
- References
- 191
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 17 · 2023: 22 · 2022: 20 · 2021: 34 · 2020: 25 · 2019: 33 · 2018: 37 · 2017: 37 · 2016: 36 · 2015: 37 · 2014: 63 · 2013: 51 · 2012: 43
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- anterior cingulate cortex, resting-state functional connectivity, resting-state networks, brain maturation, developmental trajectories, children, adolescents, young adults, seed-based functional connectivity
- MeSH terms
- Adolescent, Age Factors, Child, Female, Gyrus Cinguli, Humans, Functional Laterality, Male, Nerve Net, Young Adult
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