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Age-related changes in the structure and function of prefrontal cortex–amygdala circuitry in children and adolescents: A multi-modal imaging approach
Open accessAbstract
The uncinate fasciculus is a major white matter tract that provides a crucial link between areas of the human brain that underlie emotion processing and regulation. Specifically, the uncinate fasciculus is the major direct fiber tract that connects the prefrontal cortex and the amygdala. The aim of the present study was to use a multi-modal imaging approach in order to simultaneously examine the relation between structural connectivity of the uncinate fasciculus and functional activation of the amygdala in a youth sample (children and adolescents). Participants were 9 to 19years old and underwent diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI). Results indicate that greater structural connectivity of the uncinate fasciculus predicts reduced amygdala activation to sad and happy faces. This effect is moderated by age, with younger participants exhibiting a stronger relation. Further, decreased amygdala activation to sad faces predicts lower internalizing symptoms. These results provide important insights into brain structure-function relationships during adolescence, and suggest that greater structural connectivity of the uncinate fasciculus may facilitate regulation of the amygdala, particularly during early adolescence. These findings also have implications for understanding the relation between brain structure, function, and the development of emotion regulation difficulties, such as internalizing symptoms.
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“amygdala reactivity to negative faces and images decreases with age [21,33–36], and is accompanied by greater structural and functional connectivity between the amygdala and mPFC/rACC [25,33,34,36].”
From Trauma, PTSD, and the Developing Brain (2017) · cites this paper as [36]
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“Most studies observe linear decreases in amygdala reactivity to affective stimuli with age [30,31,32]”
From Positive and Negative Emotion Regulation in Adolescence: Links to Anxiety and Depression (2019) · cites this paper as [31]
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Cites
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
The NimStim set of facial expressions: Judgments from untrained research participants.
Tottenham, N., Tanaka, J. W., Leon, A. C., McCarry, T., Nurse, M., Hare, T. A., Marcus, D. J., Westerlund, A., Casey, B., & Nelson, C. (2009) · Psychiatry Research · doi:10.1016/j.psychres.2008.05.006 · Cited by 3,454
Etkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391 · cited 2×
“Altered trajectories of uncinate fasciculus development could be associated with the abnormal patterns of amygdala activation observed in these disorders (Etkin and Wager, 2007; Passamonti et al., 2010; Yang et al., 2010).”
BackgroundPsychophysiological and Modulatory Interactions in Neuroimaging
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0291 · Cited by 3,097
Understanding adolescence as a period of social–affective engagement and goal flexibility
Crone, E. A., & Dahl, R. E. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3313 · Cited by 2,507
Hayes, A. F., & Matthes, J. (2009) · Behavior Research Methods · doi:10.3758/brm.41.3.924 · Cited by 2,452
Cited by
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Young, K., Sandman, C., & Craske, M. (2019) · Brain Sciences · doi:10.3390/brainsci9040076 · Cited by 485
Gabard-Durnam, L. J., Flannery, J., Goff, B., Gee, D. G., Humphreys, K. L., Telzer, E., Hare, T., & Tottenham, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.038 · Cited by 372
Gee, D. G., Gabard-Durnam, L., Telzer, E. H., Humphreys, K. L., Goff, B., Shapiro, M., Flannery, J., Lumian, D. S., Fareri, D. S., Caldera, C., et al. (2014) · Psychological Science · doi:10.1177/0956797614550878 · Cited by 363
Mechanisms contributing to prefrontal cortex maturation during adolescence
Caballero, A., Granberg, R., & Tseng, K. Y. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.013 · Cited by 357
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Tottenham, N., & Galván, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.030 · Cited by 324
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Beauchaine, T. P., & Cicchetti, D. (2019) · Development and Psychopathology · doi:10.1017/s0954579419000671 · Cited by 301
Callaghan, B. L., & Tottenham, N. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.204 · Cited by 268
Trauma, PTSD, and the Developing Brain
Herringa, R. J. (2017) · Current Psychiatry Reports · doi:10.1007/s11920-017-0825-3 · Cited by 248
Chen, J., Tam, A., Kebets, V., Orbán, C., Ooi, L. Q. R., Asplund, C. L., Marek, S. A., Dosenbach, N. U. F., Eickhoff, S. B., Bzdok, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29766-8 · Cited by 240
VanTieghem, M., & Tottenham, N. (2017) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_42 · Cited by 184
Effects of early life stress on amygdala and striatal development
Fareri, D. S., & Tottenham, N. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.04.005 · Cited by 177
Swartz, J. R., Williamson, D. E., & Hariri, A. R. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14020195 · Cited by 144
Self-citationStevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 145
Wu, M., Kujawa, A., Lu, L. H., Fitzgerald, D. A., Klumpp, H., Fitzgerald, K. D., Monk, C. S., & Phan, K. L. (2016) · Human Brain Mapping · doi:10.1002/hbm.23129 · Cited by 130
Self-citationThe developing amygdala: a student of the world and a teacher of the cortex
Tottenham, N., & Gabard-Durnam, L. J. (2017) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2017.06.012 · Cited by 139
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Tottenham, N. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.06.018 · Cited by 131
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Tottenham, N. (2015) · Social Neuroscience · doi:10.1080/17470919.2015.1087424 · Cited by 112
Gee, D. G. (2016) · New Directions for Child and Adolescent Development · doi:10.1002/cad.20166 · Cited by 111
Silvers, J. A., Insel, C., Powers, A., Franz, P., Helion, C., Martin, R., Weber, J., Mischel, W., Casey, B. J., & Ochsner, K. N. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.06.005 · Cited by 99
Gee, D. G., Fetcho, R. N., Jing, D., Li, A., Glatt, C. E., Drysdale, A. T., Cohen, A. O., Dellarco, D. V., Yang, R. R., Dale, A. M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600013113 · Cited by 106
Sample entropy reveals an age-related reduction in the complexity of dynamic brain
Jia, Y., Gu, H., & Luo, Q. (2017) · Scientific Reports · doi:10.1038/s41598-017-08565-y · Cited by 86
Normative development of ventral striatal resting state connectivity in humans
Fareri, D. S., Gabard-Durnam, L. J., Goff, B., Flannery, J., Gee, D. G., Lumian, D. S., Caldera, C., & Tottenham, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.022 · Cited by 85
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Galván, A. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316106143 · Cited by 82
Neurocognitive Development of Motivated Behavior: Dynamic Changes across Childhood and Adolescence
Gee, D. G., Bath, K. G., Johnson, C. M., Meyer, H. C., Murty, V. P., van den Bos, W., & Hartley, C. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1674-18.2018 · Cited by 86
Koch, S. B. J., van Zuiden, M., Nawijn, L., Frijling, J. L., Veltman, D. J., & Olff, M. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160129 · Cited by 80
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Callaghan, B. L., Meyer, H. C., Opendak, M. M., Tieghem, M. V., Harmon, C., Li, A., Lee, F. S., Sullivan, R. M., & Tottenham, N. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095727 · Cited by 81
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Cisler, J. M., & Herringa, R. J. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.001 · Cited by 81
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Anastasiades, P. G., de Vivo, L., Bellesi, M., & Jones, M. W. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102338 · Cited by 89
Amygdala connectivity and implications for social cognition and disorders
Meisner, O. C., Nair, A. R., & Chang, S. W. C. (2022) · Handbook of clinical neurology · doi:10.1016/b978-0-12-823493-8.00017-1 · Cited by 86
Cohodes, E. M., Kribakaran, S., Odriozola, P., Bakirci, S., McCauley, S., Hodges, H. R., Sisk, L. M., Zacharek, S. J., & Gee, D. G. (2021) · Developmental Psychobiology · doi:10.1002/dev.22158 · Cited by 85
Xie, S., Zhang, X., Cheng, W., & Yang, Z. (2021) · General Psychiatry · doi:10.1136/gpsych-2020-100411 · Cited by 78
Shollenbarger, S. G., Price, J., Wieser, J., & Lisdahl, K. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.03.024 · Cited by 64
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Helion, C., Krueger, S. M., & Ochsner, K. N. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00014-8 · Cited by 78
White matter microstructure in children and adolescents with ADHD
Connaughton, M., Whelan, R., O’Hanlon, E., & McGrath, J. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.102957 · Cited by 70
Lifespan anxiety is reflected in human amygdala cortical connectivity
He, Y., Xu, T., Zhang, W., & Zuo, X. (2015) · Human Brain Mapping · doi:10.1002/hbm.23094 · Cited by 62
Gabard-Durnam, L. J., Gee, D. G., Goff, B., Flannery, J., Telzer, E. H., Humphreys, K. L., Lumian, D. S., Fareri, D. S., Caldera, C., & Tottenham, N. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0598-16.2016 · Cited by 62
Affective reactivity during adolescence: Associations with age, puberty and testosterone
Vijayakumar, N., Pfeifer, J. H., Flournoy, J. C., Hernandez, L. M., & Dapretto, M. (2019) · Cortex · doi:10.1016/j.cortex.2019.04.024 · Cited by 72
Annual Research Review: Neuroimmune network model of depression: a developmental perspective
Nusslock, R., Alloy, L. B., Brody, G. H., & Miller, G. E. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13961 · Cited by 67
Maternal prenatal iron status and tissue organization in the neonatal brain
Monk, C. E., Georgieff, M., Xu, D., Hao, X., Bansal, R., Gustafsson, H., Spicer, J., & Peterson, B. S. (2015) · Pediatric Research · doi:10.1038/pr.2015.248 · Cited by 56
Self-citationGabard-Durnam, L. J., O’Muircheartaigh, J., Dirks, H., Dean, D., Tottenham, N., & Deoni, S. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.06.004 · Cited by 54
Amygdala habituation and uncinate fasciculus connectivity in adolescence: A multi-modal approach
Hein, T. C., Mattson, W. I., Dotterer, H. L., Mitchell, C. M., Lopez‐Duran, N. L., Thomason, M. E., Peltier, S., Welsh, R. C., Hyde, L. W., & Monk, C. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.058 · Cited by 54
Self-citationBrain structural maturation and the foundations of cognitive behavioral development.
Walhovd, K., Tamnes, C., & Fjell, A. (2014) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000074 · Cited by 51
Atypical frontoamygdala functional connectivity in youth with autism
Odriozola, P., Dajani, D. R., Burrows, C. A., Gabard-Durnam, L. J., Goodman, E. S., Baez, A. C., Tottenham, N., Uddin, L. Q., & Gee, D. G. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.001 · Cited by 54
Goetschius, L. G., Hein, T. C., Mattson, W. I., Lopez‐Duran, N. L., Dotterer, H. L., Welsh, R. C., Mitchell, C. M., Hyde, L. W., & Monk, C. S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.009 · Cited by 49
Self-citationStructural connectivity of the developing human amygdala
Saygin, Z. M., Osher, D. E., Koldewyn, K., Martin, R. E., Finn, A., Saxe, R., Gabrieli, J. D. E., & Sheridan, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125170 · Cited by 45
Causal Interactions in Human Amygdala Cortical Networks across the Lifespan
Jiang, Y., Tian, Y., & Wang, Z. (2019) · Scientific Reports · doi:10.1038/s41598-019-42361-0 · Cited by 45
Hyde, L. W. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000188 · Cited by 48
Limited prefrontal cortical regulation over the basolateral amygdala in adolescent rats
Selleck, R. A., Zhang, W., Mercier, H. D., Padival, M., & Rosenkranz, J. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-35649-0 · Cited by 50
Positive and negative emotion regulation in adolescence: links to anxiety and depressionPreprint
Young, K. S., Sandman, C. F., & Craske, M. G. (2019) · doi:10.31234/osf.io/uwy6q · Cited by 49
Fishman, I., Linke, A. C., Hau, J., Carper, R. A., & Müller, R. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.06.015 · Cited by 45
Piero, L. B. D., Saxbe, D., & Margolin, G. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.03.005 · Cited by 49
Carlisi, C. O., & Robinson, O. J. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818774223 · Cited by 48
Systematic Review and Meta-analysis: Task-based fMRI Studies in Youths With Irritability
Lee, K. S., Hagan, C., Hughes, M., Cotter, G., Freud, E. M., Kircanski, K., Leibenluft, E., Brotman, M. A., & Tseng, W. (2022) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2022.05.014 · Cited by 36
Vicarious conditioned fear acquisition and extinction in child–parent dyads
Marin, M., Bilodeau-Houle, A., Morand‐Beaulieu, S., Brouillard, A., Herringa, R. J., & Milad, M. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-74170-1 · Cited by 36
Gao, L., Cai, Y., Wang, H., Wang, G., Zhang, Q., & Yan, X. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab0093 · Cited by 36
Xiao, T., Zhang, S., Lee, L.-E., Chao, H. H., van Dyck, C. H., & Li, C.-S. R. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00209 · Cited by 32
Implications of the Research Domain Criteria project for childhood anxiety and its disorders
Lebowitz, E. R., Gee, D. G., Pine, D. S., & Silverman, W. K. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.01.005 · Cited by 35
Bloom, P. A., VanTieghem, M., Gabard-Durnam, L. J., Gee, D. G., Flannery, J., Caldera, C., Goff, B., Telzer, E. H., Humphreys, K. L., Fareri, D. S., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25847 · Cited by 34
Humphreys, K. L., Telzer, E. H., Flannery, J., Goff, B., Gabard-Durnam, L. J., Gee, D. G., Lee, S. S., & Tottenham, N. (2015) · Emotion · doi:10.1037/emo0000116 · Cited by 34
Spielberg, J. M., Schwarz, J. M., & Matyi, M. A. (2019) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2019.100791 · Cited by 37
Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood
Morriss, J., Christakou, A., & van Reekum, C. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-44150-1 · Cited by 32
Nguyen, T., Gower, P., Albaugh, M. D., Botteron, K. N., Hudziak, J. J., Fonov, V., Collins, D. L., Ducharme, S., & McCracken, J. T. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.05.003 · Cited by 30
Functional brain abnormalities associated with comorbid anxiety in autism spectrum disorder
Bartolotti, J., Sweeney, J. A., & Mosconi, M. W. (2020) · Development and Psychopathology · doi:10.1017/s0954579420000772 · Cited by 30
Chan, S. Y., Ong, Z. Y., Ngoh, Z. M., Chong, Y. S., Zhou, J. H., Fortier, M. V., Daniel, L. M., Qiu, A., Meaney, M. J., & Tan, A. P. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101107 · Cited by 28
The Perception of Facial Emotion in Typical and Atypical Development
Bayet, L., & Nelson, C. A. (2019) · Springer eBooks · doi:10.1007/978-3-030-17332-6_6 · Cited by 31
Gard, A. M., Hein, T. C., Mitchell, C. M., Jeanne Brooks-gunn, B., McLanahan, S. S., Monk, C. S., & Hyde, L. W. (2021) · Development and Psychopathology · doi:10.1017/s0954579420001583 · Cited by 26
Self-citationLloyd, W. K., Morriss, J., Macdonald, B., Joanknecht, K., Sigurðardottir, J. N., & van Reekum, C. M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117488 · Cited by 28
Petro, N. M., Tottenham, N., & Neta, M. (2021) · Developmental Psychobiology · doi:10.1002/dev.22084 · Cited by 26
Barendse, M. E. A., Simmons, J. G., Byrne, M. L., Patton, G. C., Mundy, L. K., Olsson, C. A., Seal, M. L., Allen, N. B., & Whittle, S. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.07.020 · Cited by 30
Multimodal assessment of sustained threat in adolescents with nonsuicidal self-injury
Başgöze, Z., Mirza, S. A., Silamongkol, T., Hill, D. C., Falke, C. A., Thai, M., Schreiner, M. W., Parenteau, A. M., Roediger, D. J., Hendrickson, T. J., et al. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000754 · Cited by 28
Gee, D. G., Hanson, C., Caglar, L. R., Fareri, D. S., Gabard-Durnam, L. J., Mills‐Finnerty, C., Goff, B., Caldera, C., Lumian, D. S., Flannery, J., et al. (2022) · Developmental Science · doi:10.1111/desc.13238 · Cited by 29
Material hardship, prefrontal cortex–amygdala structure, and internalizing symptoms in children
Lichtin, R. D., Merz, E. C., He, X., Desai, P. M., Simon, K. R., Melvin, S. A., Maskus, E. A., & Noble, K. G. (2020) · Developmental Psychobiology · doi:10.1002/dev.22020 · Cited by 26
Nolvi, S., Tuulari, J. J., Lavonius, T. I., Scheinin, N. M., Lehtola, S. J., Lavonius, M., Merisaari, H., Saunavaara, J. P., Korja, R., Kataja, E., et al. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa081 · Cited by 27
Maturation of Corticolimbic Functional Connectivity During Sensitive Periods of Brain Development
Yang, S., & Tseng, K. Y. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_239 · Cited by 22
Chen, J.-Z., Tam, A., Kebets, V., Orban, C., Ooi, L. Q. R., Marek, S. A., Dosenbach, N. U. F., Eickhoff, S., Bzdok, D., Holmes, A., et al. (2020) · bioRxiv · doi:10.1101/2020.06.24.168724 · Cited by 24
Swartz, J. R., Phan, K. L., Angstadt, M., Fitzgerald, K. D., & Monk, C. S. (2014) · Development and Psychopathology · doi:10.1017/s0954579414001047 · Cited by 21
Self-citationKumpulainen, V., Merisaari, H., Copeland, A., Silver, E. A., Pulli, E. P., Lewis, J. D., Saukko, E., Saunavaara, J. P., Karlsson, L., Karlsson, H., et al. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15785 · Cited by 19
Caballero, C., Nook, E. C., & Gee, D. G. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105002 · Cited by 23
The Fundamental Role of Early Environments to Developing an Emotionally Healthy Brain
Tottenham, N. (2017) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/2372732217745098 · Cited by 19
Raineki, C., Morgan, E., Ellis, L. A., & Weinberg, J. (2019) · Brain Research · doi:10.1016/j.brainres.2019.05.019 · Cited by 19
Leveraging big data to map neurodevelopmental trajectories in pediatric anxiety
Zacharek, S. J., Kribakaran, S., Kitt, E. R., & Gee, D. G. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100974 · Cited by 18
Velásquez, F., Wiggins, J. L., Mattson, W. I., Martin, D. M., Lord, C., & Monk, C. S. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.12.002 · Cited by 22
Self-citationA cognitive-computational account of mood swings in adolescence
Gregorová, K., Eldar, E., Deserno, L., & Reiter, A. M. F. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.02.006 · Cited by 18
Girls' internalizing symptoms and white matter tracts in Cortico-Limbic circuitry
Ali, O. M., Vandermeer, M. R. J., Sheikh, H. I., Joanisse, M. F., & Hayden, E. P. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.101650 · Cited by 18
Skyberg, A. M., Newman, B. T., Graves, A. J., Goldstein, A. M., Brindley, S. R., Kim, M., Druzgal, T. J., Connelly, J. J., & Morris, J. P. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02380-y · Cited by 17
Ladouceur, C. D., Henry, T. R., Ojha, A., Shirtcliff, E. A., & Silk, J. S. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101236 · Cited by 18
Prevalence and predictors of affective lability after paediatric traumatic brain injury
Vasa, R. A., Suskauer, S. J., Thorn, J. M., Kalb, L. G., Grados, M. A., Slomine, B. S., Salorio, C. F., & Gerring, J. P. (2015) · Brain Injury · doi:10.3109/02699052.2015.1005670 · Cited by 16
The Brain's Emotional Development.
Tottenham, N. (2017) · Europe PMC (PubMed Central) · Cited by 17
Li, W., Lei, D., Tallman, M. J., Patino, L. R., Gong, Q., Strawn, J. R., DelBello, M. P., & McNamara, R. K. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.05.086 · Cited by 18
Galván, A., & Tottenham, N. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy218 · Cited by 14
Roeske, J., Long, X., Perdue, M. V., Long, M., Geeraert, B., Ghasoub, M., Yeates, K. O., & Lebel, C. A. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101568 · Cited by 18
Age-related changes in neural responses to sensory stimulation in autism: a cross-sectional study
Cakar, M. E., Cummings, K. K., Bookheimer, S. Y., Dapretto, M., & Green, S. A. (2023) · Molecular Autism · doi:10.1186/s13229-023-00571-4 · Cited by 15
A Neuroscience Perspective on Emotional Development
Morales, S., & Fox, N. A. (2019) · Springer eBooks · doi:10.1007/978-3-030-17332-6_4 · Cited by 14
Cosgrove, K. T., Kerr, K. L., Ratliff, E. L., Moore, A. J., Misaki, M., DeVille, D. C., Aupperle, R. L., Simmons, W. K., Bodurka, J., & Morris, A. S. (2020) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-020-00736-2 · Cited by 14
Pedersen, W. S., Dean, D., Adluru, N., Gresham, L. K., Lee, S. D., Kelly, M. P., Mumford, J. A., Davidson, R. J., & Schaefer, S. M. (2021) · Emotion · doi:10.1037/emo0000996 · Cited by 12
Razza, R. A., Bergen‐Cico, D., Reid, S., & Linsner, R. K. (2021) · ECNU Review of Education · doi:10.1177/2096531120982254 · Cited by 17
Hurricane Sandy Exposure Alters the Development of Neural Reactivity to Negative Stimuli in Children
Kessel, E. M., Nelson, B. D., Kujawa, A., Hajcak, G., Kotov, R., Bromet, E. J., Carlson, G. A., & Klein, D. N. (2016) · Child Development · doi:10.1111/cdev.12691 · Cited by 11
Premo, J. E., Liu, Y., Bilek, E. L., Phan, K. L., Monk, C. S., & Fitzgerald, K. D. (2020) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20200005 · Cited by 12
Self-citationKlein, Z., Abend, R., Shmuel, S., & Shechner, T. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108314 · Cited by 12
Jin, J., Delaparte, L., Chen, H. W., DeLorenzo, C., Perlman, G., Klein, D. N., Mohanty, A., & Kotov, R. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.01.012 · Cited by 14
Metadata
- Authors
- Swartz, J. R., Carrasco, M., Wiggins, J. L., Thomason, M. E., & Monk, C. S.
- Affiliations
- University of Michigan (US)
- Wayne State University (US)
- Corresponding author
- Swartz, Johnna R.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 86
- Pages
- 212-220
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3947283
- OpenAlex
- W2015965964
- Semantic Scholar
- e286e448323e664aa06b75ec057dbde859c9d1fc
- Cited by
- 158
- References
- 59
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 5 · 2023: 9 · 2022: 19 · 2021: 15 · 2020: 10 · 2019: 21 · 2018: 22 · 2017: 12 · 2016: 17 · 2015: 12 · 2014: 6
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Autism Speaks award
- Michigan Institute for Clinical Health Research (MICHR) Pre-doctoral Fellowship (UL1RR024986)
- National Center for Advancing Translational Sciences of the National Institutes of Health (2UL1TR000433)
- Autism Speaks Fellowship
- NARSAD award
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- uncinate fasciculus, structural connectivity, amygdala activation, emotion regulation, face processing, internalizing problems, age-related development, adolescents, children, white matter tracts, structure-function relationship
- MeSH terms
- Adult, Aging, Amygdala, Brain Mapping, Child, Female, Humans, Male, Nerve Fibers, Myelinated, Nerve Net, Neural Pathways, Sensitivity and Specificity, Reproducibility of Results, Prefrontal Cortex, Young Adult, Diffusion Tensor Imaging, Multimodal Imaging
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