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The development of human amygdala functional connectivity at rest from 4 to 23years: A cross-sectional study
Open accessAbstract
Functional connections (FC) between the amygdala and cortical and subcortical regions underlie a range of affective and cognitive processes. Despite the central role amygdala networks have in these functions, the normative developmental emergence of FC between the amygdala and the rest of the brain is still largely undefined. This study employed amygdala subregion maps and resting-state functional magnetic resonance imaging to characterize the typical development of human amygdala FC from age 4 to 23years old (n=58). Amygdala FC with subcortical and limbic regions was largely stable across this developmental period. However, three cortical regions exhibited age-dependent changes in FC: amygdala FC with the medial prefrontal cortex (mPFC) increased with age, amygdala FC with a region including the insula and superior temporal sulcus decreased with age, and amygdala FC with a region encompassing the parahippocampal gyrus and posterior cingulate also decreased with age. The transition from childhood to adolescence (around age 10years) marked an important change-point in the nature of amygdala-cortical FC. We distinguished unique developmental patterns of coupling for three amygdala subregions and found particularly robust convergence of FC for all subregions with the mPFC. These findings suggest that there are extensive changes in amygdala-cortical functional connectivity that emerge between childhood and adolescence.
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“Although mPFC and amygdala have extensive bidirectional connections and often function in tandem (110, 116, 117), these mPFC findings on greater left responding under conditions of deprived care are suggestive but have yet to be extended to amygdala structure or function.”
From Disorganized attachment in infancy predicts greater amygdala volume in adulthood (2016) · cites this paper as [116]
In the citing paper
“Functional connections between amygdala and mPFC do not emerge until age 10 years, and continue to mature through at least through 23 years of age (Gabard-Durnam et al., 2014).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“In contrast to the development of cortical/subcortical connectivity, positive functional connectivity between the amygdala and other subcortical regions, including the NAc and dorsal STR (caudate/putamen), is observed in childhood and remains largely stable through adulthood (Gabard-Durnam et al., 2014).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“Structural and functional connectivity between the amygdala and cortical brain regions undergoes dramatic maturation across adolescence (Qin et al., 2012, Gabard-Durnam et al., 2014).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“which corresponds with adult RSFC patterns of amygdala sub-regions (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014), albeit with varying effects by sex.”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“Previous research has shown coupling of mPFC and all amygdala sub-regions with increasing age (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014),”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“Negative functional connectivity, or segregation and specialization of networks (Rubinov and Sporns, 2010), has been observed between amygdalar sub-regions and more dorsal and posterior brain regions in both adults (Roy et al., 2009) and in a cross-sectional sample spanning childhood and early adulthood (Gabard-Durnam et al., 2014).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“However, only one study performed a secondary analysis to examine sex differences in adolescents, which did not yield a significant effect of sex (Gabard-Durnam et al., 2014).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“Previous research examining RSFC of amygdala sub-regions found increased positive connectivity with age (10 – 25 years) between all sub-regions and the mPFC (Gabard-Durnam et al., 2014),”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“which is in accordance with a healthy developmental trajectory (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“These and other studies suggest that the amygdala is positively connected with subcortical and limbic regions, and that functional connectivity between these brain regions is stabilized early in childhood development (Gabard-Durnam et al., 2014);”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“If decoupling of SFA and parieto-occipital cortices is indeed the norm in adulthood as some studies suggest (Roy et al., 2009, Gabard-Durnam et al., 2014), then the sexually dimorphic trajectories of amygdala sub-regional connectivity observed in the current sample may give way to mature patterns observed in adults;”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Gabard-Durnam et al., 2014
In the citing paper
“Weaker or less organized functional and structural connectivity between these brain regions in childhood may also be contributing toward increased difficulty with emotion regulation [55–57].”
From The neuroscience of emotion regulation development: Implications for education (2016) · cites this paper as [57]
In the citing paper
“Research has demonstrated amygdala-prefrontal connectivity to change with age at rest17 and during the processing of affective information18.”
From Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood (2019) · cites this paper as [17]
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Citations
Cites
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 3×
“The pattern observed across these regions is in line with previous work that has established a developmental rostral shift from the posterior to inferior direction in cortical structural ontogeny and in the development of synaptic density and dendritic length, grey matter volume, and white matter volume (Gogtay et al.…”
Exploring the brain network: A review on resting-state fMRI functional connectivity
van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.03.008 · Cited by 3,326
A self‐report measure of pubertal status: Reliability, validity and initial norms
Petersen, A. C., Crockett, L., Richards, M., & Boxer, A. (1988) · Journal of Youth and Adolescence · doi:10.1007/bf01537962 · Cited by 3,129
Emotional processing in anterior cingulate and medial prefrontal cortex
Etkin, A., Egner, T., & Kalisch, R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.004 · Cited by 3,059 · cited 2×
“…has a critical role in arousal regulation with causal influence on physiological signals like skin conductance responses (e.g. Banks et al., 2007; Etkin et al., 2006, 2011; Fisher et al., 2009; Gee et al., 2013; Goldin et al., 2008; McRae et al., 2012; Hare et al., 2008; Hariri et al., 2003;…”
Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344
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Ibrahim, K., Kalvin, C. B., Morand‐Beaulieu, S., He, G. S., Pelphrey, K. A., McCarthy, G., & Sukhodolsky, D. G. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab489 · Cited by 17
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
Translating Developmental Neuroscience to Understand Risk for Psychiatric Disorders
Meyer, H. C., & Lee, F. S. (2023) · American Journal of Psychiatry · doi:10.1176/appi.ajp.19010091 · Cited by 17
Abramson, L., Callaghan, B. L., Silvers, J. A., Choy, T., VanTieghem, M., Vannucci, A., Fields, A., & Tottenham, N. (2024) · Developmental Science · doi:10.1111/desc.13505 · Cited by 19
Self-citationDomschke, K., Akhrif, A., Romanos, M., Bajer, C., Mainusch, M., Winkelmann, J., Zimmer, C., & Neufang, S. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv259 · Cited by 17
Neural activation during cognitive reappraisal in girls at high risk for depression
Şimşek, F., Oğuz, K., Kitiş, Ö., Şebnem, A. K. A. N., Kempton, M. J., & Gönül, A. S. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.03.022 · Cited by 17
The impact of age of onset on amygdala intrinsic connectivity in major depression
Clark, D., Konduru, N., Kemp, A., Bray, S., Brown, E. C., Goodyear, B. G., & Ramasubbu, R. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s145042 · Cited by 17
Hippocampal-Prefrontal Connectivity Prior to the COVID-19 Pandemic Predicts Stress Reactivity
Perica, M. I., Ravindranath, O., Calabro, F. J., Foran, W., & Luna, B. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.06.010 · Cited by 17
Chung, Y. G., Jeon, Y., Kim, R. G., Cho, A., Kim, H., Hwang, H. Y., Choi, J., & Kim, K. J. (2022) · Journal of Clinical Neurology · doi:10.3988/jcn.2022.18.5.581 · Cited by 18
Robinson, M. D., & Sedikides, C. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.031 · Cited by 18
Physiological correlates of emotional reactivity and regulation in early adolescents
Latham, M. D., Cook, N., Simmons, J. G., Byrne, M. L., Kettle, J. W. L., Schwartz, O., Vijayakumar, N., Whittle, S., & Allen, N. B. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.07.018 · Cited by 16
Copeland, A., Korja, R., Nolvi, S., Rajasilta, O., Pulli, E. P., Kumpulainen, V., Silver, E. A., Saukko, E., Hakanen, H., Holmberg, E., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.920995 · Cited by 16
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
Effects of Duration and Midpoint of Sleep on Corticolimbic Circuitry in Youth
Hehr, A., Marusak, H. A., Huntley, E. D., & Rabinak, C. A. (2019) · Chronic Stress · doi:10.1177/2470547019856332 · Cited by 17
Restructuring of amygdala subregion apportion across adolescence
Campbell, C. E., Mezher, A. F., Eckel, S. P., Tyszka, J. M., Pauli, W. M., Nagel, B. J., & Herting, M. M. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100883 · Cited by 16
Sadigurschi, N., & Golan, H. M. (2018) · Genes Brain & Behavior · doi:10.1111/gbb.12547 · Cited by 16
The Brain's Emotional Development.
Tottenham, N. (2017) · Europe PMC (PubMed Central) · Cited by 17
Self-citationMoriarity, D. P., Ng, T. H., Curley, E. E., McArthur, B. A., Ellman, L. M., Coe, C. L., Abramson, L. Y., & Alloy, L. B. (2020) · Journal of Youth and Adolescence · doi:10.1007/s10964-020-01216-y · Cited by 15
Ravindranath, O., Ordaz, S. J., Padmanabhan, A., Foran, W., Jalbrzikowski, M., Calabro, F. J., & Luna, B. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100836 · Cited by 14
Delavari, F., Rafi, H., Sandini, C., Murray, R. J., Latrèche, C., Ville, D. V. D., & D, S. E. M. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02458-7 · Cited by 14
Fear extinction retention in children, adolescents, and adults
Widegren, E., Vegelius, J. R., Frick, M. A., Roy, A. A., Möller, S., Kleberg, J. L., Hoppe, J. M., Hjorth, O. R., Fällmar, D., Pine, D. S., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101509 · Cited by 14
Dégeilh, F., Beauchamp, M. H., Leblanc, É., Daneault, V., & Bernier, A. (2019) · Developmental Neuroscience · doi:10.1159/000507616 · Cited by 15
Kim, M. J., Avinun, R., Knodt, A. R., Radtke, S. R., & Hariri, A. R. (2017) · Scientific Reports · doi:10.1038/s41598-017-11497-2 · Cited by 13
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Morales, S., & Fox, N. A. (2019) · Springer eBooks · doi:10.1007/978-3-030-17332-6_4 · Cited by 14
Bed nucleus of the stria terminalis and amygdala responses to unpredictable threat in children
Feola, B., Melancon, S. N. T., Clauss, J. A., Noall, M. P., Mgboh, A., Flook, E. A., Benningfield, M. M., & Blackford, J. U. (2021) · Developmental Psychobiology · doi:10.1002/dev.22206 · Cited by 13
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Atherton, O. E., Donnellan, M. B., & Robins, R. W. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.017 · Cited by 15
Koziol, L. F., Barker, L. A., Joyce, A. W., & Hrin, S. (2014) · Applied Neuropsychology Child · doi:10.1080/21622965.2014.946803 · Cited by 13
Galván, A., & Tottenham, N. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy218 · Cited by 14
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Decety, J., & Holvoet, C. (2021) · L’Année psychologique · doi:10.3917/anpsy1.213.0239 · Cited by 18
Chen, S., Yin, Y., Zhang, Y., Jiang, W., Hou, Z., & Yuan, Y. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.103946 · Cited by 12
Friendship and social functioning following early institutional rearing: The role of ADHD symptoms
Humphreys, K. L., Gabard-Durnam, L. J., Goff, B., Telzer, E. H., Flannery, J., Gee, D. G., Park, V., Lee, S. S., & Tottenham, N. (2018) · Development and Psychopathology · doi:10.1017/s0954579418001050 · Cited by 13
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Çiydem, E., Avcı, D., Uyar, M., & Seyhan, A. (2023) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20230818-03 · Cited by 11
Kraaijenvanger, E. J., Banaschewski, T., Eickhoff, S. B., & Holz, N. E. (2023) · Scientific Reports · doi:10.1038/s41598-023-43057-2 · Cited by 12
Hansen, M., Simon, K. R., He, X., Steele, N. C., Thomas, M. L., Noble, K. G., & Merz, E. C. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1373546 · Cited by 11
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Chan, J. S. Y., Wang, Y., Yan, J. H., & Chen, H. (2016) · Reviews in the Neurosciences · doi:10.1515/revneuro-2016-0007 · Cited by 12
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Lewis, D. M. G., Al-Shawaf, L., & Buss, D. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.022 · Cited by 11
Guan, L., Liu, R., Wang, C., Fan, Q., Zhou, J., Wang, Y., Feng, Y., Liu, J., Zhou, Y., Wang, G., et al. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05977-9 · Cited by 10
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Hu, Y., Chen, H., Li, X., Larsen, R. J., Sutton, B. P., Gao, W., & McElwain, N. L. (2023) · Developmental Science · doi:10.1111/desc.13418 · Cited by 11
Yoon, L., Rohrsetzer, F., Battel, L., Anés, M., Manfro, P. H., Rohde, L. A., Viduani, A. C., Zajkowska, Z., Mondelli, V., Kieling, C., et al. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.03.008 · Cited by 10
Miller, L. N., Forbes, D., McFarlane, A., Lawrence-Wood, E., Simmons, J., & Felmingham, K. L. (2023) · Scientific Reports · doi:10.1038/s41598-023-48505-7 · Cited by 5
Liuzzi, M. T., Kryza‐Lacombe, M., Christian, I. R., Owen, C. E., Redcay, E., Riggins, T., Dougherty, L. R., & Wiggins, J. L. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101206 · Cited by 9
Liu, G., Tan, S., Peng, K., Dang, C., Xing, S., Xie, C., & Zeng, J. (2019) · European Journal of Neurology · doi:10.1111/ene.13974 · Cited by 9
Korom, M., Valadez, E. A., Tottenham, N., Dozier, M., & Spielberg, J. M. (2024) · Development and Psychopathology · doi:10.1017/s0954579423001669 · Cited by 9
Self-citationCaprara, G. V., & Vecchione, M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.038 · Cited by 9
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Zielinski, M. J., Privratsky, A. A., Smitherman, S., Kilts, C. D., Herringa, R. J., & Cisler, J. M. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.08.016 · Cited by 10
Li, Z., Lei, K., Coles, C. D., Lynch, M. E., & Hu, X. P. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.03.007 · Cited by 8
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Bayramoğlu, G., & Öztürk, O. (2024) · Journal of Economic Surveys · doi:10.1111/joes.12676 · Cited by 8
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White, S. F., Gonzalez, S. M. E., & Moriarty, E. M. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.853697 · Cited by 7
Cruz, S., Sousa, M., & Mateus, V. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1004233 · Cited by 7
Widegren, E., Frick, M. A., Hoppe, J. M., Weis, J., Möller, S., Fällmar, D., Mårtensson, J., Brocki, K. C., Gingnell, M., & Frick, A. (2024) · Developmental Psychobiology · doi:10.1002/dev.22492 · Cited by 7
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Xu, W., Ying, F., Luo, Y., Zhang, X., & Li, Z. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00379-3 · Cited by 6
Taylor, B. K., Frenzel, M. R., Eastman, J. A., Embury, C. M., Agcaoglu, O., Wang, Y., Stephen, J. M., Calhoun, V. D., & Wilson, T. W. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118852 · Cited by 6
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Hansen, H. A., Li, J., & Saygin, Z. M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237204 · Cited by 7
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Metadata
- Authors
- Gabard-Durnam, L. J., Flannery, J., Goff, B., Gee, D. G., Humphreys, K. L., Telzer, E., Hare, T., & Tottenham, N.
- Affiliations
- University of California, Los Angeles (US)
- University of Illinois Urbana-Champaign (US)
- University of Zurich (CH)
- Corresponding author
- Gabard-Durnam, Laurel J.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 95
- Pages
- 193-207
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4305511
- OpenAlex
- W2015455914
- Cited by
- 372
- References
- 93
- Citations by year
- 2026: 14 · 2025: 11 · 2024: 21 · 2023: 25 · 2022: 18 · 2021: 28 · 2020: 72 · 2019: 49 · 2018: 35 · 2017: 29 · 2016: 40 · 2015: 22 · 2014: 7
- FWCI
- 18.23
- 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)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH091864)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- amygdala, functional connectivity, resting-state functional connectivity, brain development, childhood to adolescence, amygdala subregions, medial prefrontal cortex, insula, superior temporal sulcus, parahippocampal gyrus, posterior cingulate cortex, normative development
- MeSH terms
- Adolescent, Amygdala, Brain Mapping, Child, Child, Preschool, Cross-Sectional Studies, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Rest, Young Adult
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