The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Neural Correlates of Direct and Reflected Self-Appraisals in Adolescents and Adults: When Social Perspective-Taking Informs Self-Perception
Open accessAbstract
Classic theories of self-development suggest people define themselves in part through internalized perceptions of other people’s beliefs about them, known as reflected self-appraisals. This study uses functional magnetic resonance imaging to compare the neural correlates of direct and reflected self-appraisals in adolescence (N = 12, ages 11–14 years) and adulthood (N = 12, ages 23–30 years). During direct self-reflection, adolescents demonstrated greater activity than adults in networks relevant to self-perception (medial prefrontal and parietal cortices) and social-cognition (dorsomedial prefrontal cortex, temporal–parietal junction, and posterior superior temporal sulcus), suggesting adolescent self-construals may rely more heavily on others’ perspectives about the self. Activity in the medial fronto-parietal network was also enhanced when adolescents took the perspective of someone more relevant to a given domain.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
A perspective on judgment and choice: mapping bounded rationality.
Kahneman, D. (2003) · American Psychologist · doi:10.1037/0003-066x.58.9.697 · Cited by 5,540
Does Rejection Hurt? An fMRI Study of Social Exclusion
Eisenberger, N. I., Lieberman, M. D., & Williams, K. D. (2003) · Science · doi:10.1126/science.1089134 · Cited by 3,849
Self-citationForman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Eccles, J. S., Midgley, C., Wigfield, A., Buchanan, C. M., Reuman, D., Flanagan, C., & Mac Iver, D. (1993) · American Psychologist · doi:10.1037/0003-066x.48.2.90 · Cited by 2,616 · cited 2×
“For example, many of the antisocial and risky behaviors that increase during adolescence are associated with perceived popularity among peers (Eccles et al., 1993; Juvonen, Graham, & Schuster, 2003), suggesting what teenagers perceive themselves to be and do may be adjusted according to beliefs about what peers value,…”
Steinberg, L., & Morris, A. S. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.83 · Cited by 2,517
People thinking about thinking peopleThe role of the temporo-parietal junction in “theory of mind”
Saxe, R., & Kanwisher, N. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00230-1 · Cited by 2,316 · cited 4×
“Furthermore, many studies and reviews (Aichhorn et al., 2006; Frith & Frith, 2003, 2006; Ruby & Decety, 2003; Saxe, Carey, & Kanwisher, 2004; Saxe & Kanwisher, 2003; Saxe & Wexler, 2005) propose that third-person perspective taking, and perhaps reasoning about another individual’s beliefs or mental…”
InfluentialDevelopment and neurophysiology of mentalizing
Frith, U., & Frith, C. D. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1218 · Cited by 2,306
Can cognitive processes be inferred from neuroimaging data?
POLDRACK, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.12.004 · Cited by 2,249
Cited by
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
Is Adolescence a Sensitive Period for Sociocultural Processing?
Blakemore, S.-J., & Mills, K. L. (2014) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115202 · Cited by 2,264
Decision-making in the adolescent brain
Blakemore, S.-J., & Robbins, T. W. (2012) · Nature Neuroscience · doi:10.1038/nn.3177 · Cited by 711
McRae, K., Gross, J. J., Weber, J., Robertson, E. R., Sokol-Hessner, P., Ray, R. D., Gabrieli, J. D. E., & Ochsner, K. N. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr093 · Cited by 655
Imaging brain development: The adolescent brain
Blakemore, S.-J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.080 · Cited by 649
Masten, C. L., Eisenberger, N. I., Borofsky, L. A., Pfeifer, J. H., McNealy, K., Mazziotta, J. C., & Dapretto, M. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp007 · Cited by 529
Self-citationDevelopmental changes in the structure of the social brain in late childhood and adolescence
Mills, K. L., Lalonde, F., Clasen, L. S., Giedd, J. N., & Blakemore, S.-J. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss113 · Cited by 452
The development of social cognition in adolescence: An integrated perspective
Kilford, E. J., Garrett, E., & Blakemore, S.-J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.016 · Cited by 412
Burnett, S., Sebastian, C., Cohen Kadosh, K., & Blakemore, S.-J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.10.011 · Cited by 391
Pfeifer, J. H., & Berkman, E. T. (2018) · Child Development Perspectives · doi:10.1111/cdep.12279 · Cited by 354
Self-citationLombardo, M. V., Chakrabarti, B., Bullmore, E. T., & Baron-Cohen, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.067 · Cited by 275
Sebastian, C. L., Tan, G. C. Y., Roiser, J. P., Viding, E., Dumontheil, I., & Blakemore, S.-J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.063 · Cited by 250
Self and Others in Adolescence
Crone, E. A., & Fuligni, A. J. (2020) · Annual Review of Psychology · doi:10.1146/annurev-psych-010419-050937 · Cited by 239
Self-citationNeural 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
Social Influence on Positive Youth Development: A Developmental Neuroscience Perspective
Telzer, E. H., van Hoorn, J., Rogers, C. R., & Do, K. T. (2018) · Advances in Child Development and Behavior · doi:10.1016/bs.acdb.2017.10.003 · Cited by 211
Gweon, H., Dodell-Feder, D., Bedny, M., & Saxe, R. (2012) · Child Development · doi:10.1111/j.1467-8624.2012.01829.x · Cited by 206
Silk, J. S., Stroud, L. R., Siegle, G. J., Dahl, R. E., Lee, K. H., & Nelson, E. E. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr044 · Cited by 187
Gaining while giving: An fMRI study of the rewards of family assistance among White and Latino youth
Telzer, E. H., Masten, C. L., Berkman, E. T., Lieberman, M. D., & Fuligni, A. J. (2010) · Social Neuroscience · doi:10.1080/17470911003687913 · Cited by 189
Self-citationThe relationship between puberty and social emotion processing
Goddings, A., Burnett Heyes, S., Bird, G., Viner, R. M., & Blakemore, S. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01174.x · Cited by 169
Peake, S. J., Dishion, T. J., Stormshak, E. A., Moore, W. E., & Pfeifer, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.061 · Cited by 147
Self-citationDivergent task-dependent functional connectivity of executive control and salience networks
Elton, A., & Gao, W. (2014) · Cortex · doi:10.1016/j.cortex.2013.10.012 · Cited by 127
Pfeifer, J. H., Kahn, L. E., Merchant, J. S., Peake, S. J., Veroude, K., Masten, C. L., Lieberman, M. D., Mazziotta, J. C., & Dapretto, M. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4074-12.2013 · Cited by 125
Self-citationMoore, W. E., Pfeifer, J. H., Masten, C. L., Mazziotta, J. C., Iacoboni, M., & Dapretto, M. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr066 · Cited by 115
Self-citationMorin, A., & Hamper, B. (2012) · The Open Neuroimaging Journal · doi:10.2174/1874440001206010078 · Cited by 80
Adolescent brain development and contextual influences: a decade in review
Galván, A. (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12687 · Cited by 77
The neurobiology of self-knowledge in depressed and self-injurious youth
Quevedo, K., Martin, J., Scott, H., Smyda, G., & Pfeifer, J. H. (2016) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2016.06.015 · Cited by 50
Developmental Differences in the Control of Action Selection by Social Information
Dumontheil, I., Hillebrandt, H., Apperly, I. A., & Blakemore, S.-J. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00268 · Cited by 44
Silk, J. S., Lee, K. H., Elliott, R. D., Hooley, J. M., Dahl, R. E., Barber, A., & Siegle, G. J. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx014 · Cited by 39
Williamson, C. M., Klein, I. S., Lee, W., & Curley, J. P. (2019) · Social Neuroscience · doi:10.1080/17470919.2018.1479303 · Cited by 37
Social contextual risk taking in adolescence
Kwon, S.-J., & Telzer, E. H. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00060-0 · Cited by 32
Modulation of the brain's core-self network by self-appraisal processes
Delahoy, R., Davey, C. G., Jamieson, A. J., Finlayson-Short, L., Savage, H. S., Steward, T., & Harrison, B. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118980 · Cited by 22
Crone, E. A., & van Drunen, L. (2024) · Human Development · doi:10.1159/000539844 · Cited by 17
“To test for developmental differences in domain-speci fi c neural recruitment, we rely on few studies that have examined this question in a developmental study (Jankowski et al., 2014; Pfeifer et al., 2009).”
Smith, S. (2020) · Educational and Child Psychology · doi:10.53841/bpsecp.2020.37.3.56 · Cited by 2
Metadata
- Authors
- Pfeifer, J. H., Masten, C. L., Borofsky, L. A., Dapretto, M., Fuligni, A. J., & Lieberman, M. D.
- Venue
- Child Development
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-07-01
- Volume
- 80
- Issue
- 4
- Pages
- 1016-1038
- ISSN
- 0009-3920 (ISSN-L)
- 1467-8624
- OpenAlex
- W2128340652
- Cited by
- 280
- References
- 27
- FWCI
- 24.22
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.