Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village
Open accessAbstract
People often have the intuition that they are similar to their friends, yet evidence for homophily (being friends with similar others) based on self-reported personality is inconsistent. Functional connectomes-patterns of spontaneous synchronization across the brain-are stable within individuals and predict how people tend to think and behave. Thus, they may capture interindividual variability in latent traits that are particularly similar among friends but that might elude self-report. Here, we examined interpersonal similarity in functional connectivity at rest-that is, in the absence of external stimuli-and tested if functional connectome similarity is associated with proximity in a real-world social network. The social network of a remote village was reconstructed; a subset of residents underwent functional magnetic resonance imaging. Similarity in functional connectomes was positively related to social network proximity, particularly in the default mode network. Controlling for similarities in demographic and personality data (the Big Five personality traits) yielded similar results. Thus, functional connectomes may capture latent interpersonal similarities between friends that are not fully captured by commonly used demographic or personality measures. The localization of these results suggests how friends may be particularly similar to one another. Additionally, geographic proximity moderated the relationship between neural similarity and social network proximity, sugg…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Inter-individual neural synchronization in the DMN is related to social proximity, reflecting evaluation of whether other individuals are friends, friends-of-friends, or more distally connected in social ties.
“Recent studies have also shown that inter-individual neural synchronization in the DMN is related to social proximity, reflecting evaluation of whether other individuals are friends, friends-of-friends, or more distally connected in social ties. 48”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [48]
Cites
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
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016 · see citing works
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,644 · see citing works
A note on two problems in connexion with graphs
Dijkstra, E. (1959) · Numerische Mathematik · doi:10.1007/bf01386390 · Cited by 24,351 · see citing works
<b>lmerTest</b> Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346 · see citing works
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,819 · see citing works
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567 · see citing works
The igraph software package for complex network research
Csárdi, G., & Nepusz, T. (2006) · Medical Entomology and Zoology · Cited by 10,078 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Handbook of Personality: Theory and Research
Krueger, R. F., & Johnson, W. (2008) · Cited by 7,884 · see citing works
Social Influence: Compliance and Conformity
Cialdini, R. B., & Goldstein, N. J. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142015 · Cited by 6,077 · see citing works
NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
Valiev, M., Bylaska, E. J., Govind, N., Kowalski, K., Straatsma, T. P., van Dam, H. J. J., Wang, D., Nieplocha, J., Aprà, E., Windus, T. L., et al. (2010) · Computer Physics Communications · doi:10.1016/j.cpc.2010.04.018 · Cited by 5,794 · see citing works
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007 · see citing works
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Fong, G. T., Cohen, J., & Cohen, P. R. (1985) · Journal of the American Statistical Association · doi:10.2307/2287930 · Cited by 4,608 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
fMRIPrep: A robust preprocessing pipeline for functional MRI
Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre, E., Snyder, M., et al. (2019) · Nature Methods · doi:10.1038/s41592-018-0235-4 · Cited by 3,905 · see citing works
BERGER, C. R., & CALABRESE, R. J. (1975) · Human Communication Research · doi:10.1111/j.1468-2958.1975.tb00258.x · Cited by 3,006 · see citing works
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., Mikolajczyk, R., Massari, M., Salmaso, S., Tomba, G. S., Wallinga, J., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050074 · Cited by 2,900 · see citing works
Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4135 · Cited by 2,747 · see citing works
The collective dynamics of smoking in a large social network
Christakis, N. A., & Fowler, J. H. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0706154 · Cited by 2,390 · see citing works
Fowler, J. H., & Christakis, N. A. (2008) · BMJ · doi:10.1136/bmj.a2338 · Cited by 1,990 · see citing works
Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction
Bkhetan, Z. A., & Plewczyński, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-23276-8 · Cited by 1,667 · see citing works
A review of variable selection methods in Partial Least Squares Regression
Mehmood, T., Liland, K. H., Snipen, L. G., & Sæbø, S. (2012) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2012.07.010 · Cited by 1,597 · see citing works
Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
Krishnan, A., Williams, L. J., McIntosh, A. R., & Abdi, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.034 · Cited by 1,335 · see citing works
Social contagion theory: examining dynamic social networks and human behavior
Christakis, N. A., & Fowler, J. H. (2013) · Statistics in Medicine · doi:10.1002/sim.5408 · Cited by 1,303 · see citing works
A neuromarker of sustained attention from whole-brain functional connectivity
Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M. (2015) · Nature Neuroscience · doi:10.1038/nn.4179 · Cited by 1,004 · see citing works
Speaker-listener neural coupling underlies successful communication
Stephens, G. J., Silbert, L. J., & Hasson, U. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008662107 · Cited by 970 · see citing works
Alone in the crowd: The structure and spread of loneliness in a large social network.
Cacioppo, J. T., Fowler, J. H., & Christakis, N. A. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0016076 · Cited by 844 · see citing works
Geographic routing in social networks
Liben‐Nowell, D., Novak, J., Kumar, R., Raghavan, P., & Tomkins, A. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503018102 · Cited by 843 · see citing works
Robust prediction of individual creative ability from brain functional connectivity
Beaty, R. E., Kenett, Y. N., Christensen, A. P., Rosenberg, M. D., Benedek, M., Chen, Q., Fink, A., Qiu, J., Kwapil, T. R., Kane, M. J., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713532115 · Cited by 835 · see citing works
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks
Cattuto, C., den Broeck, W. V., Barrat, A., Vittoria Colizza, A., Pinton, J.-F., & Vespignani, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011596 · Cited by 823 · see citing works
Cooperative behavior cascades in human social networks
Fowler, J. H., & Christakis, N. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913149107 · Cited by 767 · see citing works
Using second-person neuroscience to elucidate the mechanisms of social interaction
Redcay, E., & Schilbach, L. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0179-4 · Cited by 755 · see citing works
Social networks and cooperation in hunter-gatherers.
Apicella, C. L., Marlowe, F. W., Fowler, J. H., & Christakis, N. A. (2012) · Nature · doi:10.1038/nature10736 · Cited by 698 · see citing works
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613 · see citing works
Social network determinants of depression
Rosenquist, J. N., Fowler, J. H., & Christakis, N. A. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.13 · Cited by 543 · see citing works
Geographical dispersal of mobile communication networks
Lambiotte, R., Blondel, V. D., de Kerchove, C., Huens, E., Prieur, C., Smoreda, Z., & Dooren, P. M. V. (2008) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2008.05.014 · Cited by 458 · see citing works
A Reinforcement-Affect Model of Attraction
Clore, G. L., & Byrne, D. (1974) · Elsevier eBooks · doi:10.1016/b978-0-12-362950-0.50013-6 · Cited by 418 · see citing works
Big Five factors of personality and replicated predictions of behavior.
Paunonen, S. V. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.2.411 · Cited by 391 · see citing works
Similar neural responses predict friendship
Parkinson, C., Kleinbaum, A. M., & Wheatley, T. (2018) · Nature Communications · doi:10.1038/s41467-017-02722-7 · Cited by 388 · cited 5× · see citing works
“Furthermore, given prior work demonstrating that similarity in neural responses to naturalistic stimuli is also predictive of social network proximity (15, 16) and that tasks can emphasize individual differences in functional connectivity (56), future work should test if and how interpersonal similarity in functional…”
BackgroundMethodInfluentialSelf-citationCan brain state be manipulated to emphasize individual differences in functional connectivity?
Finn, E., Scheinost, D., Finn, D., Shen, X.-L., Papademetris, X., & Constable, R. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.064 · Cited by 361 · see citing works
Geographic Constraints on Social Network Groups
Onnela, J.-P. “., Samuel Arbesman, C., González, M. C., Barabási, A.-Ĺ., & Christakis, N. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016939 · Cited by 351 · see citing works
Same Story, Different Story: The Neural Representation of Interpretive Frameworks
Yeshurun, Y., Swanson, S., Simony, E., Chen, J., Lazaridi, C., Honey, C. J., & Hasson, U. (2017) · Psychological Science · doi:10.1177/0956797616682029 · Cited by 300 · see citing works
Multivariate Statistical Analyses for Neuroimaging Data
McIntosh, A. R., & Mišić, B. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143804 · Cited by 253 · see citing works
Towards a second-person neuropsychiatry
Schilbach, L. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0081 · Cited by 251 · see citing works
Bolis, D., Balsters, J., Wenderoth, N., Becchio, C., & Schilbach, L. (2017) · Psychopathology · doi:10.1159/000484353 · Cited by 204 · see citing works
Connectotyping: Model Based Fingerprinting of the Functional Connectome
Miranda-Dominguez, O., Mills, B. D., Carpenter, S. D., Grant, K. A., Kroenke, C. D., Nigg, J. T., & Fair, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111048 · Cited by 197 · see citing works
The individual functional connectome is unique and stable over months to years
Horien, C. L., Shen, X., Scheinost, D., & Constable, R. T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.002 · Cited by 191 · see citing works
van Zalk, M. H. W., Denissen, J. J. A., Branje, S., & Meeus, W. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0014468 · Cited by 189 · see citing works
Synchronous brain activity across individuals underlies shared psychological perspectives
Lahnakoski, J. M., Glerean, E., Jääskeläinen, I. P., Hyönä, J., Hari, R., Sams, M., & Nummenmaa, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.022 · Cited by 180 · see citing works
Cantlon, J. F., & Li, R. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001462 · Cited by 180 · see citing works
Similarity and propinquity in friendship formation.
Nahemow, L., & Lawton, M. P. (1975) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.32.2.205 · Cited by 178 · see citing works
Merged minds: Generalized shared reality in dyadic relationships.
Rossignac‐Milon, M., Bolger, N. P., Zee, K. S., Boothby, E. J., & Higgins, E. T. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000266 · Cited by 174 · see citing works
Popularity, Similarity, and the Network Extraversion Bias
Feiler, D. C., & Kleinbaum, A. M. (2015) · Psychological Science · doi:10.1177/0956797615569580 · Cited by 169 · see citing works
Dubois, J., Galdi, P., Han, Y., Paul, L. K., & Adolphs, R. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.8 · Cited by 168 · see citing works
(2007) · Advances in consciousness research · doi:10.1075/aicr.68 · Cited by 157 · see citing works
The amplification of risk in experimental diffusion chains
Moussaïd, M., Brighton, H., & Gaissmaier, W. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421883112 · Cited by 147 · see citing works
Brain connectivity dynamics during social interaction reflect social network structure
Schmälzle, R., O’Donnell, M. B., Garcia, J. O., Cascio, C. N., Bayer, J., Bassett, D. S., Vettel, J. M., & Falk, E. B. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616130114 · Cited by 141 · see citing works
Social Disconnection in Schizophrenia and the General Community
Green, M. F., Horan, W. P., Lee, J., McCleery, A., Reddy, L. F., & Wynn, J. K. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx082 · Cited by 131 · see citing works
Intensive Reasoning Training Alters Patterns of Brain Connectivity at Rest
Mackey, A. P., Singley, A. T. M., & Bunge, S. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4141-12.2013 · Cited by 119 · see citing works
Brain and Social Networks: Fundamental Building Blocks of Human Experience
Falk, E. B., & Bassett, D. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.06.009 · Cited by 115 · see citing works
The ‘Russian Doll’ model of empathy and imitation
de Waal, F. Β. Μ. (2007) · Advances in consciousness research · doi:10.1075/aicr.68.06waa · Cited by 110 · see citing works
Phenotypic Variability in Resting-State Functional Connectivity: Current Status
Vaidya, C. J., & Gordon, E. M. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0110 · Cited by 108 · see citing works
Han, J. W., Kim, T. H., Jhoo, J. H., Park, J. H., Kim, J. L., Ryu, S. H., Moon, S. W., Choo, I. H., Lee, D. W., Yoon, J. C., et al. (2010) · 노인정신의학 · Cited by 108 · see citing works
Self-citationPagnoni, G. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4135-11.2012 · Cited by 107 · see citing works
Connectome-based Models Predict Separable Components of Attention in Novel Individuals
Rosenberg, M. D., Hsu, T. W., Scheinost, D., Constable, R. T., & Chun, M. M. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01197 · Cited by 103 · see citing works
Chen, G., Taylor, P. A., Shin, Y., Reynolds, R. C., & Cox, R. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.029 · Cited by 101 · see citing works
Youm, Y., Laumann, E. O., Ferraro, K. F., Waite, L. J., Kim, H. C., Park, Y.-R., Chu, S. H., Joo, W.-T., & Lee, J. (2014) · BMC Geriatrics · doi:10.1186/1471-2318-14-102 · Cited by 88 · see citing works
Self-citationLahnakoski, J. M., Forbes, P., McCall, C., & Schilbach, L. (2020) · Royal Society Open Science · doi:10.1098/rsos.191815 · Cited by 61 · see citing works
Liu, W., Kohn, N., & Fernández, G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.062 · Cited by 59 · see citing works
Standardization and validation of Big Five Inventory-Korean Version (BFI-K) in Elders
Kim, S. Y., Kim, J. M., Yoo, J. A., Bae, K. Y., Kim, S. W., Yang, S. J., Shin, I. S., & Yoon, J. S. (2010) · Saengmul jeongsin euihag/Saengmul jeongsin uihak · Cited by 56 · see citing works
Self-citationReach and speed of judgment propagation in the laboratory
Moussaïd, M., Herzog, S. M., Kämmer, J. E., & Hertwig, R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611998114 · Cited by 54 · see citing works
Otti, A., Guendel, H. O., Läer, L., Wohlschlaeger, A. M., Lane, R. D., Jean Decety, A., Zimmer, C., Henningsen, P., & Noll‐Hussong, M. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.04.072 · Cited by 53 · see citing works
Prediction of long-term memory scores in MCI based on resting-state fMRI
Meskaldji, D. E., Preti, M. G., Bolton, T. A. W., Montandon, M., Rodriguez, C. K., Morgenthaler, S., Giannakopoulos, P., Haller, S., & Ville, D. V. D. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.10.004 · Cited by 51 · see citing works
Hyon, R., Kleinbaum, A. M., & Parkinson, C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116492 · Cited by 49 · see citing works
Self-citationNeural bases of recommendations differ according to social network structure
O’Donnell, M. B., Bayer, J., Cascio, C. N., & Falk, E. B. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw158 · Cited by 42 · see citing works
Predicting Empathy From Resting State Brain Connectivity: A Multivariate Approach
Christov‐Moore, L., Reggente, N., Douglas, P. K., Feusner, J. D., & Iacoboni, M. (2020) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2020.00003 · Cited by 40 · see citing works
How Physical Proximity Shapes Complex Social Networks
Stopczynski, A., Pentland, A., & Lehmann, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-36116-6 · Cited by 37 · see citing works
The Korean social life, health and aging project-health examination cohort
Lee, J., Lee, W. J., Kim, H. C., Choi, W., Lee, J., Sung, K., Chu, S. H., Park, Y. R., & Youm, Y. (2014) · Epidemiology and Health · doi:10.4178/epih/e2014003 · Cited by 32 · see citing works
Self-citationJoo, W.-T., Kwak, S., Youm, Y., & Chey, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-04904-1 · Cited by 24 · see citing works
Self-citationMcNabb, C. B., Burgess, L. G., Fancourt, A., Mulligan, N. F., FitzGibbon, L., RIDDELL, P. M., & Murayama, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-67718-8 · Cited by 11 · see citing works
Smith, J. P. (2009) · BMJ · doi:10.1136/bmj.b23 · Cited by 7 · see citing works
Flagged first, then by citations
3 of the 85 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
20 years of the default mode network: A review and synthesis.
Menon, V. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.023 · Cited by 934 · see citing works
Cortical representation of group social communication in bats
Rose, M. C., Styr, B., Schmid, T. A., Elie, J. E., & Yartsev, M. M. (2021) · Science · doi:10.1126/science.aba9584 · Cited by 83 · see citing works
A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity
Jiang, R., Scheinost, D., Zuo, N., Wu, J., Qi, S., Liang, Q., Zhi, D., Luo, N., Chung, Y., Liu, S., et al. (2022) · Advanced Science · doi:10.1002/advs.202201621 · Cited by 62 · see citing works
Liu, Y., Peng, S., Wu, X., Liu, Z., Lian, Z., Fan, H., Kuang, N., Gu, X., Yang, S., Hu, Y., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101566 · Cited by 53 · see citing works
Neural synchronization predicts marital satisfaction
Li, L., Huang, X., Xiao, J., Zheng, Q., Shan, X., He, C., Liao, W., Chen, H., Menon, V., & Duan, X. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2202515119 · Cited by 39 · see citing works
There is chemistry in social chemistry
Ravreby, I., Snitz, K., & Sobel, N. (2022) · Science Advances · doi:10.1126/sciadv.abn0154 · Cited by 36 · see citing works
Social cognitive network neuroscience
Krendl, A. C., & Betzel, R. F. (2022) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsac020 · Cited by 36 · see citing works
Kieckhäfer, C., Schilbach, L., & Bzdok, D. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac351 · Cited by 26 · see citing works
Zwir, I. J. S., Arnedo, J., Mesa, A., del Val, C., de Erausquin, G. A., & Cloninger, C. R. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02039-6 · Cited by 22 · see citing works
A functional connectome signature of blood pressure in >30 000 participants from the UK biobank
Jiang, R., Calhoun, V. D., Noble, S., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Liang, Q., Qi, S., & Scheinost, D. (2022) · Cardiovascular Research · doi:10.1093/cvr/cvac116 · Cited by 21 · see citing works
Mori, K., & Haruno, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.25822 · Cited by 16 · see citing works
Hyon, R., Chavez, R. S., Chwe, J. A. H., Wheatley, T. P., Kleinbaum, A. M., & Parkinson, C. M. (2022) · Communications Biology · doi:10.1038/s42003-022-03655-8 · Cited by 16 · see citing works
Self-citationThe anatomy of friendship: neuroanatomic homophily of the social brain among classroom friends
D’Onofrio, P., Norman, L. J., Sudre, G. P., White, T. J. H., & Shaw, P. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab398 · Cited by 15 · see citing works
Toward reframing brain-social dynamics: current assumptions and future challenges
Faraji, J., & Metz, G. A. S. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1211442 · Cited by 15 · see citing works
Iyer, S., Collier, E., Broom, T. W., Finn, E. S., & Meyer, M. L. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306295121 · Cited by 16 · see citing works
Universal association between depressive symptoms and social-network structures in the workplace
Lee, J.-H., Sato, N., Yano, K., & Miyake, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-14366-9 · Cited by 13 · see citing works
Shan, Z., Mohamed, A. Z., Schwenn, P., McLoughlin, L. T., Boyes, A., Sacks, D. D., Driver, C., Calhoun, V. D., Lagopoulos, J., & Hermens, D. F. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119358 · Cited by 13 · see citing works
A framework for integrating neural development and social networks in adolescence
Capella, J., & Telzer, E. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101442 · Cited by 11 · see citing works
Oxytocin modulates social brain network correlations in resting and task state
Wu, Q., Huang, Q., Liu, C., & Wu, H. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac295 · Cited by 11 · see citing works
Study protocol: Social Health Impact of Network Effects (SHINE) StudyPreprint
Cosme, D., Kang, Y., Tartak, J. C., Ahn, J., Corbani, F. E., Cooper, N., Doré, B., He, X., Helion, C., Jovanova, M., et al. (2022) · doi:10.31234/osf.io/cj2nx · Cited by 9 · see citing works
Baek, J., Baldina, E., Sung, K., Lee, S., Christakis, N. A., Bearman, P., Kim, H. C., Chu, S. H., Lee, E. M., Park, Y. R., et al. (2023) · American Journal of Epidemiology · doi:10.1093/aje/kwad190 · Cited by 9 · see citing works
Self-citationNeural similarity predicts whether strangers become friends
Shen, Y. L., Hyon, R., Wheatley, T. P., Kleinbaum, A. M., Welker, C. L., & Parkinson, C. M. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02266-7 · Cited by 8 · see citing works
Self-citationComputational methods in social neuroscience: recent advances, new tools and future directions
Parkinson, C. M. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab073 · Cited by 8 · see citing works
Self-citationPartner similarity and social cognitive traits predict social interaction success among strangers
Dziura, S. L., Hosangadi, A., Shariq, D. A., Merchant, J. S., & Redcay, E. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad045 · Cited by 8 · see citing works
Faraji, J., & Metz, G. A. S. (2025) · Neuroprotection/Neuroprotection (Chichester, England. Print) · doi:10.1002/nep3.73 · Cited by 8 · see citing works
Interactions between neural representations of the social and spatial environment
Thompson, J. C., & Parkinson, C. M. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0522 · Cited by 7 · see citing works
Self-citationSisterhood predicts similar neural processing of a film
Bacha‐Trams, M., Yorulmaz, G. E., Glerean, E., Ryyppö, E., Tapani, K., Virmavirta, E., Saaristo, J., Jääskeläinen, I. P., & Sams, M. E. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120712 · Cited by 6 · see citing works
Yu, J., & Fischer, N. L. (2022) · Human Brain Mapping · doi:10.1002/hbm.25759 · Cited by 5 · see citing works
“How did you stay together so long?” Relationship longevity, a cross‐generational qualitative study
Heim, C., & Heim, C. (2023) · Journal of Marital and Family Therapy · doi:10.1111/jmft.12656 · Cited by 6 · see citing works
Proximity within adolescent peer networks predicts neural similarity during affective experience
Feldman, M. J., Capella, J., Dai, J., Bonar, A. S., Field, N. H., Lewis, K., Prinstein, M. J., Telzer, E. H., & Lindquist, K. A. (2024) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsae072 · Cited by 7 · see citing works
Resting-state functional network connectivity underlying conscientiousness in school-aged children
Yi, H., Xiao, M., Chen, X., Yan, Q., Yang, Y., Liu, Y., Song, S., Gao, X., & Chen, H. (2023) · Child Neuropsychology · doi:10.1080/09297049.2023.2221757 · Cited by 6 · see citing works
Kajimura, S., Ito, A., & Izuma, K. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab143 · Cited by 5 · see citing works
Default mode network synchrony reflects shared understanding
Ohad, T., Zvi, Y., & Yeshurun, Y. (2025) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2025.101540 · Cited by 5 · see citing works
Xu, T., Liu, X., He, H., Zhou, C., Hildebrandt, A., & Chen, F. (2025) · Advanced Science · doi:10.1002/advs.202504518 · Cited by 4 · see citing works
Tang, H., Zhao, H., Liu, H., Jiang, J., Kochan, N. A., Jing, J., Brodaty, H., Wen, W., Sachdev, P. S., & Liu, T. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121065 · Cited by 3 · see citing works
Neural Similarity and Synchrony among Friends
Ma, C., & Liu, Y. T. (2024) · Brain Sciences · doi:10.3390/brainsci14060562 · Cited by 3 · see citing works
Li, J., Huang, R., Liu, M., Zhang, D., & Liang, B. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.02.018 · Cited by 4 · see citing works
Han, M., Chen, F., Shang, M., Liu, Y., & Shao, Y. (2023) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108696 · Cited by 3 · see citing works
Cao, Z., Wu, C., Hong, H., Huang, P., Zhou, C., Guan, X., Wu, H., Duanmu, X., Xu, X., & Zhang, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120305 · Cited by 2 · see citing works
Neural Synchrony and Consumer Behavior: Predicting Friends’ Behavior in Real-World Social Networks
Hu, Y., Ma, B., & Jin, J. K. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0073-25.2025 · Cited by 2 · see citing works
Ikeda, S., Jeong, H., Sasaki, Y., Sakaki, K., Yamazaki, S., Nozawa, T., & Kawashima, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-56718-7 · Cited by 2 · see citing works
Neurodevelopment of Emotional Processes in Adolescent Social Contexts
Shipkova, M., Dai, J., Lindquist, K. A., & Telzer, E. H. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009342919.034 · Cited by 1 · see citing works
Ouchi, K., Yoshimaru, D., Takemura, A., Yamamoto, S., Hayashi, R., Higo, N., Obara, M., Sugase-Miyamoto, Y., & Tsurugizawa, T. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120901 · Cited by 1 · see citing works
Zhang, Y., Ma, C., Li, H., Assumpção, L., & Liu, Y. T. (2024) · iScience · doi:10.1016/j.isci.2024.111472 · Cited by 1 · see citing works
Social compatibility in opposite-sex prairie vole pairs is modulated by early-life sleep experience
Bueno-Júnior, L. S., Milman, N., Jones, C. E., Ghimire, A., Wickham, P. T., Hu, Y., Ye, B., Lim, M. M., & Watson, B. O. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003434 · Cited by 1 · see citing works
Neural Similarity Predicts Whether Strangers Become FriendsPreprint
Shen, Y. L., Hyon, R., Kleinbaum, A. M., Welker, C. L., Parkinson, C. M., & Wheatley, T. P. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2881692 · Cited by 1 · see citing works
Self-citationTsurugizawa, T., Ouchi, K., Yoshimaru, D., Takemura, A., Yamamoto, S., Hayashi, R., Higo, N., Obara, M., & Sugase-Miyamoto, Y. (2024) · Research Square · doi:10.21203/rs.3.rs-4092810/v1 · Cited by 1 · see citing works
Li, Q., Dabranau, A., Kompatsiari, K., & Konvalinka, I. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.30.695445 · Cited by 1 · see citing works
Kajimura, S., & Ito, A. (2022) · Neuroscience Insights · doi:10.1177/26331055221119443
A fragment of Steven Schachter’s style in behavioral neurology
Gıovagnolı, A. R. (2022) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2022.108773
MY BRAIN, YOUR BRAIN, OUR BRAIN IS MORE THAN THE SUM OF ITS PARTS
Montandon, M. (2023) · Cortica · doi:10.26034/cortica.2023.3664
Age-related alterations in functional and structural networks in the brain in macaque monkeys
Ouchi, K., Yamamoto, S., Obara, M., Sugase-Miyamoto, Y., & Tsurugizawa, T. (2025) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2025.1495735
Armony, J. L., & Vuilleumier, P. O. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009342919.030
Moreira, J. F. G., Allgaier, N., Johnson, M. E., Potter, A., Garavan, H. P., & Fair, D. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101689 · Cited by 1 · see citing works
Shin, W.-G., Sung, K., Bang, J., Sul, S., Youm, Y., & Parkinson, C. M. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2536452123
Self-citationFunctional Brain Network Predictors of Abstinence Treatment Outcomes in Methamphetamine Use Disorder
Du, Y., Di, S., Luo, N., Yang, W., Shi, W., Yang, Z., Song, M., Zhang, H., Zhang, J., Jiang, T., et al. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.70990
Play as epistemic practice: neuroaffirming therapeutic knowing
Perri, N. (2026) · Subjectivity · doi:10.1057/s41286-026-00258-0
- Authors
- Hyon, R., Youm, Y., Kim, J., Chey, J., Kwak, S., & Parkinson, C.
- Affiliations
- University of California, Los Angeles (US)
- Yonsei University (KR)
- Seoul National University (KR)
- Corresponding author
- Youm, Yoosik
- Parkinson, Carolyn
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-12-14
- Volume
- 117
- Issue
- 52
- Pages
- 33149-33160
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7777022
- OpenAlex
- W3112457870
- Cited by
- 57
- References
- 85
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 9 · 2023: 11 · 2022: 15 · 2021: 4 · 2016: 1
- FWCI
- 4.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Research Foundation of Korea (NRF-2017S1A3A2067165)
- Yonsei University (2020 Research Grant)
- Alfred P. Sloan Foundation (Sloan Research Fellowship)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- homophily, default mode network, resting-state functional connectivity, interpersonal similarity, friendship, Big Five personality traits, geographic proximity, latent traits
- MeSH terms
- Aged, Aged, 80 and over, Brain, Female, Humans, Interpersonal Relations, Magnetic Resonance Imaging, Male, Personality, Rural Population, Friends, Connectome
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
