Heritability of aggression following social evaluation in middle childhood: An fMRI study
Open accessAbstract
Middle childhood marks an important phase for developing and maintaining social relations. At the same time, this phase is marked by a gap in our knowledge of the genetic and environmental influences on brain responses to social feedback and their relation to behavioral aggression. In a large developmental twin sample (509 7‐ to 9‐year‐olds), the heritability and neural underpinnings of behavioral aggression following social evaluation were investigated, using the Social Network Aggression Task (SNAT). Participants viewed pictures of peers that gave positive, neutral, or negative feedback to the participant's profile. Next, participants could blast a loud noise toward the peer as an index of aggression. Genetic modeling revealed that aggression following negative feedback was influenced by both genetics and environmental (shared as well as unique environment). On a neural level (n = 385), the anterior insula and anterior cingulate cortex gyrus (ACCg) responded to both positive and negative feedback, suggesting they signal for social salience cues. The medial prefrontal cortex (mPFC) and inferior frontal gyrus (IFG) were specifically activated during negative feedback, whereas positive feedback resulted in increased activation in caudate, supplementary motor cortex (SMA), and dorsolateral prefrontal cortex (DLPFC). Decreased SMA and DLPFC activation during negative feedback was associated with more aggressive behavior after negative feedback. Moreover, genetic modeling showed that 13%–14% of the variance in dorsolateral PFC activity was explained by genetics. Our results suggest that the processing of social feedback is partly explained by genetic factors, whereas shared environmental influences play a role in behavioral aggression following feedback.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Studies have demonstrated a significant heritability for aggressive behaviors of up to 60%.
“Studies have demonstrated a significant heritability for aggressive behaviors of up to 60% [36–38].”
From Genetics of child aggression, a systematic review (2024) · cites this paper as [37]
The Introduction reports substantial heritability of behavioral aggression, but gives an estimate of up to 48%, not 60%. The Discussion reports genetic influences of 10–20% in this study and describes prior estimates as around 50%. No page numbers are available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe influence of genes on aggressive behaviors can be augmented by the environment such that it decreases with decreasing positive social feedback or increasing parental negativity.
“However the influence of genes can be augmented by the environment such that it decreases with decreasing positive social feedback [37] or increasing parental negativity [38].”
From Genetics of child aggression, a systematic review (2024) · cites this paper as [37]
The Results (Behavioral analyses; page unavailable) estimate genetic influences on aggression at 20% for negative-versus-positive feedback and 10% for negative-versus-neutral feedback. These estimates are consistent with the stated direction, but they are for different feedback contrasts; the paper does not establish that decreasing positive feedback causes genetic influence to decline or demonstrate gene–environment moderation. The parental-negativity clause is attached to a different citation and is not assessed here. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,888 · see citing works
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 1× · see citing works
“The DLPFC is one of the brain regions that take longest to mature (Gogtay et al., 2004; Sowell, Delis, Stiles, & Jernigan, 2001), leaving ample room for individual, developmental differences.”
BackgroundConsistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
The social brain in adolescence
Blakemore, S.-J. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2353 · Cited by 1,896 · see citing works
Valid conjunction inference with the minimum statistic
Nichols, T. E., Brett, M., Andersson, J., Wager, T. D., & Poline, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.005 · Cited by 1,885 · see citing works
Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging
Lenroot, R. K., & Giedd, J. N. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.001 · Cited by 1,863 · see citing works
The Social Brain: Neural Basis of Social Knowledge
Adolphs, R. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163514 · Cited by 1,827 · see citing works
Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model
Long, J. S., & Ervin, L. H. (2000) · The American Statistician · doi:10.1080/00031305.2000.10474549 · Cited by 1,779 · see citing works
Hayes, A. F., & Cai, L. (2007) · Behavior Research Methods · doi:10.3758/bf03192961 · Cited by 1,493 · see citing works
Rhee, S. H., & Waldman, I. D. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.3.490 · Cited by 1,266 · see citing works
OpenMx 2.0: Extended Structural Equation and Statistical Modeling
Neale, M., Hunter, M. D., Pritkin, J. N., Zahery, M., Brick, T. R., Kirkpatrick, R. M., Estabrook, R., Bates, T. C., Maes, H., & Boker, S. (2015) · Psychometrika · doi:10.1007/s11336-014-9435-8 · Cited by 1,064 · see citing works
Somerville, L. H., Jones, R. M., & Casey, B. J. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.07.003 · Cited by 1,025 · see citing works
Beyond simple models of self-control to circuit-based accounts of adolescent behavior
Casey, B. J. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015156 · Cited by 742 · see citing works
The Anterior Cingulate Gyrus and Social Cognition: Tracking the Motivation of Others
Apps, M. A. J., Rushworth, M. F. S., & Chang, S. W. C. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.018 · Cited by 559 · cited 3× · see citing works
“Moreover, the ACCg has been shown to have strong structural and functional connectivity with the anterior insula (Apps et al., 2016), and together these regions have been indicated as the salience network (Damoiseaux et al., 2006; Van Duijvenvoorde, Achterberg, Braams, Peters, & Crone, 2015).”
BackgroundThe Social Brain: A Project for Integrating Primate Behavior and Neurophysiology in a New Domain
Brothers, L. (2002) · Foundations in Social Neuroscience · doi:10.7551/mitpress/3077.003.0029 · Cited by 532 · see citing works
Anterior cingulate cortex responds differentially to expectancy violation and social rejection
Somerville, L. H., Heatherton, T. F., & Kelley, W. M. (2006) · Nature Neuroscience · doi:10.1038/nn1728 · Cited by 460 · see citing works
Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model
Long, J. S., & Ervin, L. H. (2000) · The American Statistician · doi:10.2307/2685594 · Cited by 401 · see citing works
SOWELL, E. R., DELIS, D., STILES, J., & JERNIGAN, T. L. (2001) · Journal of the International Neuropsychological Society · doi:10.1017/s135561770173305x · Cited by 388 · see citing works
Guyer, A. E., Lau, J. Y. F., McClure-Tone, E. B., Parrish, J., Shiffrin, N. D., Reynolds, R. C., Chen, G., Blair, R. J. R., Leibenluft, E., Fox, N. A., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.11.1303 · Cited by 371 · see citing works
Konijn, E. A., Bijvank, M. N., & Bushman, B. J. (2007) · Developmental Psychology · doi:10.1037/0012-1649.43.4.1038 · Cited by 371 · see citing works
Ferguson, C. J. (2010) · The Journal of Social Psychology · doi:10.1080/00224540903366503 · Cited by 336 · see citing works
The neurobiology of the emotional adolescent: From the inside out
Guyer, A. E., Silk, J. S., & Nelson, E. E. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.037 · Cited by 334 · see citing works
A meta-analysis of the anterior cingulate contribution to social pain
Rotge, J.-Y., Lemogne, C., Hinfray, S., Huguet, P., Grynszpan, O., Tartour, E., George, N., & Fossati, P. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu110 · Cited by 325 · see citing works
Lenroot, R. K., Schmitt, J. E., Ordaz, S. J., Wallace, G. L., Neale, M. C., Lerch, J. P., Kendler, K. S., Evans, A. C., & Giedd, J. N. (2009) · Human Brain Mapping · doi:10.1002/hbm.20494 · Cited by 320 · see citing works
A quantitative meta-analysis of functional imaging studies of social rejection
Cacioppo, S., Frum, C., Asp, E., Weiss, R. M., Lewis, J. W., & Cacioppo, J. T. (2013) · Scientific Reports · doi:10.1038/srep02027 · Cited by 290 · see citing works
Neural circuitry underlying affective response to peer feedback in adolescence
Guyer, A. E., Choate, V. R., Pine, D. S., & Nelson, E. E. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr043 · Cited by 236 · see citing works
Do you like me? Neural correlates of social evaluation and developmental trajectories
Gunther Moor, B., van Leijenhorst, L., Rombouts, S. A. R. B., Crone, E. A., & Van der Molen, M. W. (2010) · Social Neuroscience · doi:10.1080/17470910903526155 · Cited by 231 · see citing works
Self-citationSilk, J. S., Siegle, G. J., Lee, K. H., Nelson, E. E., Stroud, L. R., & Dahl, R. E. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst175 · Cited by 231 · see citing works
Jansen, A. G., Mous, S. E., White, T., Posthuma, D., & Polderman, T. J. C. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9278-9 · Cited by 184 · see citing works
The pleasure of revenge: retaliatory aggression arises from a neural imbalance toward reward
Chester, D. S., & DeWall, C. N. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv082 · Cited by 178 · see citing works
Reducing aggressive responses to social exclusion using transcranial direct current stimulation
Riva, P., Romero Lauro, L. J., DeWall, C. N., Chester, D. S., & Bushman, B. J. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu053 · Cited by 159 · see citing works
Heritability of Working Memory Brain Activation
Blokland, G. A. M., McMahon, K. L., Thompson, P. M., Martin, N. G., de Zubicaray, G. I., & Wright, M. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5334-10.2011 · Cited by 158 · see citing works
Being liked activates primary reward and midline self‐related brain regions
Davey, C. G., Allen, N. B., Harrison, B. J., Dwyer, D. B., & Yücel, M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20895 · Cited by 155 · see citing works
Human Aggression Across the Lifespan
Tuvblad, C., & Baker, L. A. (2011) · Advances in Genetics · doi:10.1016/b978-0-12-380858-5.00007-1 · Cited by 139 · cited 4× · see citing works
“Heritability estimates for behavioral aggression are high for both children and adults, explaining up to 48% of the variance (for meta-analyses, see Ferguson, 2010; Rhee and Waldman, 2002; Tuvblad and Baker, 2011).”
BackgroundInfluentialGenetic and environmental stability differs in reactive and proactive aggression
Tuvblad, C., Raine, A., Zheng, M., & Baker, L. A. (2009) · Aggressive Behavior · doi:10.1002/ab.20319 · Cited by 136 · see citing works
van Duijvenvoorde, A. C. K., Achterberg, M., Braams, B. R., Peters, S., & Crone, E. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.069 · Cited by 130 · see citing works
Self-citationGenetic control of functional brain network efficiency in children
van den Heuvel, M. P., van Soelen, I. L. C., Stam, C. J., Kahn, R. S., Boomsma, D. I., & Hulshoff Pol, H. E. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.06.007 · Cited by 127 · see citing works
Achterberg, M., van Duijvenvoorde, A. C. K., Bakermans-Kranenburg, M. J., & Crone, E. A. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv154 · Cited by 125 · see citing works
Self-citationPower of the classical twin design revisited.
Visscher, P. (2004) · Twin research : the official journal of the International Society for Twin Studies · doi:10.1375/1369052042335250 · Cited by 111 · see citing works
Neural Basis of Strategic Decision Making
Lee, D., & Seo, H. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.11.002 · Cited by 104 · see citing works
A Power Calculator for the Classical Twin Design
Verhulst, B. (2016) · Behavior Genetics · doi:10.1007/s10519-016-9828-9 · Cited by 103 · see citing works
Longitudinal heritability of childhood aggression
Porsch, R. M., Middeldorp, C. M., Cherny, S. S., Krapohl, E. M. L., van Beijsterveldt, C. E. M., Loukola, A., Korhonen, T., Pulkkinen, L., Corley, R. P., Rhee, S. H., et al. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32420 · Cited by 102 · see citing works
The interactive effect of social pain and executive functioning on aggression: an fMRI experiment
Chester, D. S., Eisenberger, N. I., Pond, R. S., Richman, S. B., Bushman, B. J., & DeWall, C. N. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst038 · Cited by 97 · see citing works
Annual Research Review: Developmental considerations of gene by environment interactions
Lenroot, R., & Giedd, J. N. (2011) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2011.02381.x · Cited by 84 · see citing works
van den Bulk, B. G., Koolschijn, P. C. M. P., Meens, P. H. F., van Lang, N. D. J., van der Wee, N. J. A., Rombouts, S. A. R. B., Vermeiren, R. R. J. M., & Crone, E. A. (2012) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2012.09.005 · Cited by 77 · see citing works
Self-citationRichmond, 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
Pediatric Functional Magnetic Resonance Imaging (fMRI): Issues and Applications
O'Shaughnessy, E. S., Berl, M. M., Moore, E. N., & Gaillard, W. D. (2008) · Journal of Child Neurology · doi:10.1177/0883073807313047 · Cited by 69 · see citing works
Peters, S., van Duijvenvoorde, A. C. K., Koolschijn, P. C. M. P., & Crone, E. A. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.04.004 · Cited by 60 · see citing works
Self-citationThe neural and behavioral correlates of social evaluation in childhood
Achterberg, M., van Duijvenvoorde, A. C. K., van der Meulen, M., Euser, S., Bakermans‐Kranenburg, M. J., & Crone, E. A. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.02.007 · Cited by 53 · see citing works
Self-citationEuser, S., Bakermans‐Kranenburg, M. J., van den Bulk, B. G., Linting, M., Damsteegt, R. C., Vrijhof, C. I., van Wijk, I. C., Crone, E. A., & van IJzendoorn, M. H. (2016) · BMC Psychology · doi:10.1186/s40359-016-0139-y · Cited by 45 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- Brett, M., Anton, J. L., Valabregue, R., & Poline, J. B. (2002). Region of interest analysis using an SPM toolbox [abstract] Presented at the 8th International Conference on Functional Mapping of the Human Brain, June 2–6, Available on CD‐ROM in NeuroImage, 16(2).
- van Duijvenvoorde, A. C., Achterberg, M., Braams, B. R., Peters, S., & Crone, E. A. (2016). Testing a dual‐systems model of adolescent brain development using resting‐state connectivity analyses. NeuroImage, 124(Pt A), 409– 420. 25969399
- Wechsler, D. (1991). The Wechsler intelligence scale for children–third edition. San Antonio, TX: The Psychological Corporation.
Cited by
Sorted by citations
Genetics of child aggression, a systematic review
Koyama, E., Kant, T., Takata, A., Kennedy, J. L., & Zai, C. C. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02870-7 · Cited by 33 · see citing works
- Authors
- Achterberg, M., van Duijvenvoorde, A. C. K., van der Meulen, M., Bakermans‐Kranenburg, M. J., & Crone, E. A.
- Affiliations
- Leiden University (NL)
- Leiden Consortium on Individual Development Leiden University AK Leiden 2333 The Netherlands
- Corresponding author
- Achterberg, Michelle
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2018-03-12
- Volume
- 39
- Issue
- 7
- Pages
- 2828-2841
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6055731
- OpenAlex
- W2793499754
- Cited by
- 51
- References
- 52
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 8 · 2023: 7 · 2022: 13 · 2021: 3 · 2020: 11 · 2019: 3 · 2018: 2
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Human Brain Mapping (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Netherlands Organisation for Scientific Research (024.001.003)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- aggression, heritability, social evaluation, social feedback, middle childhood, genetic factors, shared environment, anterior insula, anterior cingulate cortex, medial prefrontal cortex, dorsolateral prefrontal cortex, supplementary motor area, inferior frontal gyrus, caudate nucleus, social salience
- MeSH terms
- Aggression, Caudate Nucleus, Cerebral Cortex, Child, Child Behavior, Female, Humans, Male, Motor Cortex, Social Behavior, Social Perception, Prefrontal Cortex, Feedback, Psychological, Gene-Environment Interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review