Identity domains capture individual differences from across the behavioral repertoire
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Abstract
Personality traits can offer considerable insight into the biological basis of individual differences. However, existing approaches toward understanding personality across species rely on subjective criteria and limited sets of behavioral readouts, which result in noisy and often inconsistent outcomes. Here we introduce a mathematical framework for describing individual differences along dimensions with maximum consistency and discriminative power. We validate this framework in mice, using data from a system for high-throughput longitudinal monitoring of group-housed male mice that yields a variety of readouts from across the behavioral repertoire of individual animals. We demonstrate a set of stable traits that capture variability in behavior and gene expression in the brain, allowing for better-informed mechanistic investigations into the biology of individual differences.
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The authors previously developed an experimental system that allows animals to behave freely in a large enriched environment while their location is tracked automatically over days and dozens of behavioral readouts are extracted.
“we previously developed an experimental system that allows animals to behave freely in a large environment, enriched with hiding places, elevated platforms, bedding, feeders, and water sources, while their location is tracked automatically over days, and dozens of behavioral readouts are extracted”
From Wireless Optogenetic Stimulation of Oxytocin Neurons in a Semi-natural Setup Dynamically Elevates Both Pro-social and Agonistic Behaviors (2020) · cites this paper as Forkosh et al., 2019
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889 · see citing works
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743 · see citing works
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 21,028 · see citing works
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
Fisher, R. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 16,063 · see citing works
Near-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723 · see citing works
Personality in Adulthood: A Five-Factor Theory Perspective
McCrae, R., & Costa, P. (2005) · doi:10.4324/9780203428412 · Cited by 2,355 · see citing works
Personality in Adulthood: A Five-Factor Theory Perspective
McCrae, R. R., & Costa, P. T. (2005) · Cited by 1,645 · see citing works
Object recognition test in mice
Leger, M., Quiedeville, A., Bouet, V., Haelewyn, B., Boulouard, M., Schumann-Bard, P., & Freret, T. (2013) · Nature Protocols · doi:10.1038/nprot.2013.155 · Cited by 1,357 · see citing works
Measurement of Temperament in Infancy
Rothbart, M. K. (1981) · Child Development · doi:10.2307/1129176 · Cited by 1,237 · see citing works
Cultural Influences on Personality
Triandis, H. C., & Suh, E. M. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135200 · Cited by 1,216 · see citing works
variancePartition: interpreting drivers of variation in complex gene expression studies
Hoffman, G. E., & Schadt, E. E. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1323-z · Cited by 831 · see citing works
Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space
Shoval, O., Sheftel, H., Shinar, G., Hart, Y., Ramote, O., Mayo, A., Dekel, E., Kavanagh, K., & Alon, U. (2012) · Science · doi:10.1126/science.1217405 · Cited by 647 · see citing works
Measuring and testing the steepness of dominance hierarchies
VRIES, H. D., Stevens, J. M. G., & Vervaecke, H. (2006) · Animal Behaviour · doi:10.1016/j.anbehav.2005.05.015 · Cited by 583 · see citing works
Cross-Cultural Assessment of the Five-Factor Model: The Revised NEO Personality Inventory
McCrae, R. R., Costa, P. T., Del Pilar, G. H., Rolland, J.-P., & Parker, W. D. (1998) · Journal of Cross-Cultural Psychology · doi:10.1177/0022022198291009 · Cited by 406 · see citing works
Identification of Glyoxalase-I as a Protein Marker in a Mouse Model of Extremes in Trait Anxiety
Krömer, S. A., Kessler, M. S., Milfay, D., Birg, I., Bunck, M., Czibere, L., Panhuysen, M., Pütz, B., Deussing, J. M., Holsboer, F., et al. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0115-05.2005 · Cited by 263 · see citing works
Minnesota Multiphasic Personality Inventory
Butcher, J. N. (2010) · The Corsini Encyclopedia of Psychology · doi:10.1002/9780470479216.corpsy0573 · Cited by 239 · see citing works
High-order social interactions in groups of mice
Shemesh, Y., Sztainberg, Y., Forkosh, O., Shlapobersky, T., Chen, A., & Schneidman, E. (2013) · eLife · doi:10.7554/elife.00759 · Cited by 213 · see citing works
Inferring biological tasks using Pareto analysis of high-dimensional data
Hart, Y., Sheftel, H., Hausser, J., Székely, P., Moshe, N. B. B., Kohanim, Y. K., Tendler, A., Mayo, A., & Alon, U. S. (2015) · Nature Methods · doi:10.1038/nmeth.3254 · Cited by 174 · see citing works
Ucn3 and CRF-R2 in the medial amygdala regulate complex social dynamics
Shemesh, Y., Forkosh, O., Mahn, M., Anpilov, S., Sztainberg, Y., Manashirov, S., Shlapobersky, T., Elliott, E., Tabouy, L., Ezra, G., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4346 · Cited by 99 · see citing works
Self-citationThe Geometry of Locomotive Behavioral States in C. elegans
Gallagher, T., Bjorness, T., Greene, R., You, Y.-J., & Avery, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059865 · Cited by 85 · see citing works
Archetypal Analysis for Modeling Multisubject fMRI Data
Hinrich, J. L., Bardenfleth, S. W., Roge, R. E., Churchill, N. W., Madsen, K. H., & Mørup, M. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2595103 · Cited by 30 · see citing works
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Research works printed but not linked: 1
- Duda, R. O., Hart, P. E. & Stork, D. G. Pattern Classification. (John Wiley & Sons Inc., 2012).
Cited by
Sorted by citations
Cortisol and major depressive disorder-translating findings from humans to animal models and Back
Nandam, L. S., Brazel, M., Zhou, M., & Jhaveri, D. J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00974 · Cited by 265 · see citing works
The emergence and influence of internal states
Flavell, S. W., Gogolla, N., Lovett-Barron, M., & Zelikowsky, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.04.030 · Cited by 234 · see citing works
Mouse spontaneous behavior reflects individual variation rather than estrous state
Levy, D. R., Hunter, N., Lin, S., Robinson, E. M., Gillis, W. F., Conlin, E., Anyoha, R., Shansky, R. M., & Datta, S. R. (2023) · Current Biology · doi:10.1016/j.cub.2023.02.035 · Cited by 163 · see citing works
Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire
Marshall, J. D., Aldarondo, D. E., Dunn, T., Wang, W. L., Berman, G. J., & Ölveczky, B. P. (2020) · Neuron · doi:10.1016/j.neuron.2020.11.016 · Cited by 139 · see citing works
The neural circuitry of social homeostasis: Consequences of acute versus chronic social isolation
Lee, C. R., Chen, A., & Tye, K. M. (2021) · Cell · doi:10.1016/j.cell.2021.02.028 · Cited by 138 · see citing works
A paradigm shift in translational psychiatry through rodent neuroethology
Shemesh, Y., & Chen, A. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01913-z · Cited by 126 · see citing works
The neuroimmune response during stress: A physiological perspective
Haykin, H., & Rolls, A. (2021) · Immunity · doi:10.1016/j.immuni.2021.08.023 · Cited by 128 · see citing works
Võikar, V., & Gaburro, S. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.575434 · Cited by 119 · see citing works
Saré, R. M., Lemons, A. H. S., & Smith, C. B. (2021) · Brain Sciences · doi:10.3390/brainsci11040522 · Cited by 114 · see citing works
Jabarin, R., Netser, S., & Wagner, S. (2022) · Molecular Autism · doi:10.1186/s13229-022-00521-6 · Cited by 113 · see citing works
Social dominance mediates behavioral adaptation to chronic stress in a sex-specific manner
Karamihalev, S., Brivio, E., Flachskamm, C., Stoffel, R., Schmidt, M. V., & Chen, A. (2020) · eLife · doi:10.7554/elife.58723 · Cited by 98 · see citing works
Anpilov, S., Shemesh, Y., Eren, N., Harony-Nicolas, H., Benjamin, A., Dine, J., Oliveira, V. E. M., Forkosh, O., Karamihalev, S., Hüttl, R.-E., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.028 · Cited by 89 · see citing works
Ketamine exerts its sustained antidepressant effects via cell-type-specific regulation of Kcnq2
López, J. P., Luecken, M. D., Brivio, E., Karamihalev, S., Kos, A., Donno, C. D., Benjamin, A., Yang, H., Dick, A. L. W., Stoffel, R., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.05.001 · Cited by 79 · see citing works
Early Life Experience Shapes Male Behavior and Social Networks in Drosophila
Bentzur, A., Ben-Shaanan, S., Benichou, J. I. C., Costi, E., Levi, M., Ilany, A., & Shohat-Ophir, G. (2020) · Current Biology · doi:10.1016/j.cub.2020.10.060 · Cited by 69 · see citing works
The what, how, and why of naturalistic behavior
Kennedy, A. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102549 · Cited by 65 · see citing works
Smiley, K. O., Munley, K. M., Aghi, K., Lipshutz, S. E., Patton, T. M., Pradhan, D. S., Solomon‐Lane, T. K., & Sun, S. D. (2023) · Hormones and Behavior · doi:10.1016/j.yhbeh.2023.105445 · Cited by 57 · see citing works
Body language signals for rodent social communication
Ebbesen, C. L., & Froemke, R. C. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.01.008 · Cited by 53 · see citing works
von Mücke-Heim, I.-A., Urbina-Treviño, L., Bordes, J., Ries, C., Schmidt, M. V., & Deussing, J. M. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01762-w · Cited by 51 · see citing works
Kos, A., López, J. P., Bordes, J., Donno, C. D., Dine, J., Brivio, E., Karamihalev, S., Luecken, M. D., Almeida-Corrêa, S., Gasperoni, S., et al. (2023) · Science Advances · doi:10.1126/sciadv.adj3793 · Cited by 41 · see citing works
Bordes, J., Miranda, L., Müller‐Myhsok, B., & Schmidt, M. V. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105243 · Cited by 42 · see citing works
Rajput, N., Parikh, K., & Kenney, J. W. (2022) · Biology Open · doi:10.1242/bio.059443 · Cited by 40 · see citing works
Sofer, Y., Zilkha, N., Gimpel, E., Wagner, S., Chuartzman, S. G., & Kimchi, T. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01685-5 · Cited by 38 · see citing works
Kempermann, G., Lopes, J. B., Zocher, S., Schilling, S., Ehret, F., Garthe, A., Karasinsky, A., Brandmaier, A. M., Lindenberger, U., Winter, Y., et al. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105916 · Cited by 39 · see citing works
Translational models of stress and resilience: An applied neuroscience methodology review
Albayrak, Z. S., Vaz, A., Bordes, J., Ünlü, S., Sep, M. S. C., Vinkers, C. H., Pinto, L., & Eser, H. Y. (2024) · Neuroscience Applied · doi:10.1016/j.nsa.2024.104064 · Cited by 39 · see citing works
Rodrigues, J., Studer, E., Streuber, S., Meyer, N. H., & Sandi, C. (2020) · Nature Communications · doi:10.1038/s41467-020-19736-3 · Cited by 31 · see citing works
Neural optimization: Understanding trade-offs with Pareto theory
Pallasdies, F., Norton, P., Schleimer, J., & Schreiber, S. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.08.008 · Cited by 33 · see citing works
Sex-dependent control of pheromones on social organization within groups of wild house mice
Zilkha, N., Chuartzman, S. G., Sofer, Y., Pen, Y., Cum, M., Mayo, A., Alon, U. S., & Kimchi, T. (2023) · Current Biology · doi:10.1016/j.cub.2023.02.039 · Cited by 29 · see citing works
Zhang, H., Yang, Y., Cao, Y., & Guan, J. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.116609 · Cited by 40 · see citing works
Disentangling the behavioural variability of confined cell migration
Brückner, D. B., Fink, A., Rädler, J. O., & Broedersz, C. P. (2020) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0689 · Cited by 27 · see citing works
Karamihalev, S., Flachskamm, C., Eren, N., Kimura, M., & Chen, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-51375-7 · Cited by 29 · see citing works
Dubois, J., Eberhardt, F., Paul, L. K., & Adolphs, R. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00989-3 · Cited by 23 · see citing works
Blueprints for measuring natural behavior
Puścian, A., & Knapska, E. (2022) · iScience · doi:10.1016/j.isci.2022.104635 · Cited by 21 · see citing works
Animal behavior and animal personality from a non-human perspective: Getting help from the machine
Forkosh, O. (2021) · Patterns · doi:10.1016/j.patter.2020.100194 · Cited by 21 · see citing works
Social Determinants of Inter-Individual Variability and Vulnerability: The Role of Dopamine
Fauré, P., Fayad, S. L., Solié, C., & Reynolds, L. M. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.836343 · Cited by 17 · see citing works
Concurrent stress modulates the acute and post-acute effects of psilocybin in a sex-dependent manner
Farinha‐Ferreira, M., Miranda‐Lourenço, C., Galipeau, C., Lenkei, Z., & Sebastião, A. M. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.110280 · Cited by 18 · see citing works
Long-term tracking of social structure in groups of rats
Nagy, M., Davidson, J. D., Vásárhelyi, G., Ábel, D., Enikö Kubinyi, B., Hady, A. E., & Vicsek, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-72437-5 · Cited by 17 · see citing works
Underhill, V. A., Pandelis, G. G., Papuga, J., Sabol, A. C., Rife, A., Rubi, T. L., Hoffman, S. M. G., & Dantzer, B. (2021) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-020-02951-9 · Cited by 17 · see citing works
Serra, I., Manusama, O. R., Kaiser, F. M. P., Floriano, I. I., Wahl, L. F., van der Zalm, C., IJspeert, H., van Hagen, P. M., van Beveren, N. J. M., Arend, S. M., et al. (2021) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2021.100377 · Cited by 15 · see citing works
Cougnoux, A., Mahmoud, L., Johnsson, P. A., Eroğlu, A., Gsell, L., Rosenbauer, J., Sandberg, R., & Hausser, J. (2025) · Scientific Reports · doi:10.1038/s41598-024-83989-x · Cited by 15 · see citing works
Increasing resolution in stress neurobiology: from single cells to complex group behaviors
Miranda, L., Bordes, J., Gasperoni, S., & López, J. P. (2023) · Stress · doi:10.1080/10253890.2023.2186141 · Cited by 15 · see citing works
Pohl, T. T., & Hörnberg, H. (2022) · Neuronal Signaling · doi:10.1042/ns20210030 · Cited by 13 · see citing works
Meccia, J., Lopez, J., & Bagot, R. C. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06297-0 · Cited by 13 · see citing works
Individual differences in social homeostasis
Bales, K. L., Hang, S., Paulus, J. P., Jahanfard, E., Manca, C., Jost, G. M., Boyer, C. J., Bern, R., Yerumyan, D., Rogers, S., et al. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1068609 · Cited by 13 · see citing works
Zilkha, N., Chuartzman, S. G., Fishman, R., Ben‐Dor, S., & Kimchi, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-70062-w · Cited by 12 · see citing works
Rampant False Detection of Adaptive Phenotypic Optimization by ParTI-Based Pareto Front Inference
Sun, M., & Zhang, J. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa330 · Cited by 12 · see citing works
Su, F., Wang, Y., Wei, M., Wang, C., Wang, S., Yang, L., Li, J., Yuan, P., Luo, D.-G., & Zhang, C. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-022-00988-6 · Cited by 12 · see citing works
Studying dominance and aggression requires ethologically relevant paradigms.
Shemesh, Y., Benjamin, A., Shoshani-Haye, K., Yizhar, O., & Chen, A. (2024) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2024.102879 · Cited by 10 · see citing works
Wang, Y., Zhang, X., Yao, Y., Hu, S.-W., Wang, W., Wang, D., Huang, C., Liu, H., Zhang, Q., He, T., et al. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106402 · Cited by 10 · see citing works
Bouts of rest and physical activity in C57BL/6J mice
Pernold, K., Rullman, E., & Ulfhake, B. (2023) · bioRxiv · doi:10.1371/journal.pone.0280416 · Cited by 11 · see citing works
Guns, P., Guth, B. D., Braam, S. R., Kosmidis, G., Matsa, E., Delaunois, A. G., Gryshkova, V., Bernasconi, S., Knot, H. J., Shemesh, Y., et al. (2020) · Journal of Pharmacological and Toxicological Methods · doi:10.1016/j.vascn.2020.106889 · Cited by 10 · see citing works
Karin, O., & Alon, U. (2021) · iScience · doi:10.1016/j.isci.2021.102796 · Cited by 10 · see citing works
Keshavarz, M., Krebs-Wheaton, R., Refki, P. N., Savriama, Y., Zhang, Y., Guenther, A., Brückl, T. M., Binder, E. B., & Tautz, D. (2021) · Molecular Ecology · doi:10.1111/mec.16076 · Cited by 10 · see citing works
Mesolimbic Neural Response Dynamics Predict Future Individual Alcohol Drinking in Mice
Montgomery, S. E., Li, L., Russo, S. J., Calipari, E. S., Nestler, E. J., Morel, C., & Han, M. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.11.019 · Cited by 9 · see citing works
Zhao, X., Wang, H., Dai, C., Tang, J., Deng, K., Zhong, Z., Kong, F., Wang, S., & Morikawa, S. (2025) · Systems · doi:10.3390/systems13040240 · Cited by 9 · see citing works
Emotions in multi-brain dynamics: A promising research frontier
Antonelli, F., Bernardi, F., Koul, A., Novembre, G., & Papaleo, F. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105965 · Cited by 8 · see citing works
Mikami, T., & Iwasaki, W. (2021) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13553 · Cited by 8 · see citing works
A social switch: daylength drives meadow vole group dynamics in automatically tracked habitats
Power, K. C., Lee, N. S., Rendon-Torres, K., Soergel, D. A. W., & Beery, A. K. (2025) · Animal Behaviour · doi:10.1016/j.anbehav.2025.123084 · Cited by 6 · see citing works
Group Social Dynamics in a Seminatural Setup Reflect the Adaptive Value of Aggression in Male Mice
Anpilov, S., Shemesh, Y., Benjamin, A., Biagini, T., Umanski, D., Zur, Y., Sztainberg, Y., Richter-Levin, A., Forkosh, O., & Chen, A. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100399 · Cited by 8 · see citing works
Migliaro, M., Sánchez‐Zavaleta, R., Soto‐Tinoco, E., Ruiz‐Contreras, A. E., Méndez‐Díaz, M., Herrera-Solís, A., de la Mora, M. P., & Prospero-Garcia, O. E. (2022) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2022.173483 · Cited by 6 · see citing works
For neuroscience, social history matters
George, A., Padilla-Coreano, N., & Opendak, M. M. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01566-8 · Cited by 5 · see citing works
Quantifying the contribution of subject and group factors in brain activation
Nakuci, J., Yeon, J., Xue, K., Kim, J., Kim, S.-P., & Rahnev, D. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad348 · Cited by 5 · see citing works
Opinion: Which animals have personality?
Adolphs, R., & Xu, Y. (2024) · Personality Neuroscience · doi:10.1017/pen.2023.9 · Cited by 5 · see citing works
Social status predicts physiological and behavioral responses to chronic stress in rhesus monkeys
Zhang, Z., Dong, X., Liu, Z., & Liu, N. (2024) · iScience · doi:10.1016/j.isci.2024.110073 · Cited by 6 · see citing works
Amaral, I. M., Hofer, A., & Rawas, R. E. (2021) · Biomedicines · doi:10.3390/biomedicines9080877 · Cited by 5 · see citing works
Robertson, T. L., Ellis, M., Bratcher-Petersen, N., Ruidíaz, M. E., Harada, K., Toburen, D., Oberhauser, J. P., Grzenda, D., Peltier, N. E., Raza, M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.18.629281 · Cited by 8 · see citing works
Social context restructures behavioral syntax in mice
Ritter, M., Shipley, H., Deiana, S., Hengerer, B., Wotjak, C. T., Brecht, M., & Bogadhi, A. R. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1617091 · Cited by 5 · see citing works
A hierarchical trait and state model for decoding dyadic social interactions
Wu, Q., Nakauchi, S., Shehata, M., & Shinsuke Shimojo, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-95916-9 · Cited by 3 · see citing works
Oxytocin Discrepancies in Social Dynamics.
Maltese, F., & Papaleo, F. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.027 · Cited by 2 · see citing works
Kondo, M., Sehara, K., Harukuni, R., Aoki, R., Sugimoto, S., Tanaka, Y. R., Matsuzaki, M., & Nakae, K. (2025) · Scientific Data · doi:10.1038/s41597-025-05482-y · Cited by 3 · see citing works
Measuring the replicability of our own research
Brown, R. E. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110111 · Cited by 4 · see citing works
Echoes of stress: From molecular whispers to social thunderstorms
López, J. P. (2025) · Neurobiology of Stress · doi:10.1016/j.ynstr.2025.100766 · Cited by 2 · see citing works
From eye to AI: Studying rodent social behavior in the era of machine learning
Chindemi, G., Bellone, C., & Girard, B. J. T. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106766 · Cited by 3 · see citing works
Social Relationship as a Factor for the Development of Stress Incubation in Adult Mice
Lee, R. X., Stephens, G. J., & Kühn, B. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.854486 · Cited by 2 · see citing works
Bentzur, A., Alon, S., & Shohat-Ophir, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23073811 · Cited by 2 · see citing works
Sexually divergent effects of social dominance on chronic stress outcomes in micePreprint
Karamihalev, S., Brivio, E., Flachskamm, C., Stoffel, R., Schmidt, M. V., & Chen, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.04.933481 · Cited by 2 · see citing works
PRECOMMENTARY: Animal personality needs animal sentience
Adolphs, R., & Xu, Y. (2024) · Animal Sentience · doi:10.51291/2377-7478.1843 · Cited by 2 · see citing works
Individual differences drive social hierarchies in male mouse societiesPreprint
Reinwald, J., Ghanayem, S., Wolf, D., Scheller, M. F., Lebedeva, J., Lebhardt, P., Gölz, O., Nelias, C., & Kelsch, W. (2026) · eLife · doi:10.7554/elife.109354 · Cited by 2 · see citing works
Adolescent sleep molds adult social preferences
McHenry, J. A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01103-8 · Cited by 1 · see citing works
Gasperoni, S., Ji, X., Sudre-Chinsky, C., Pajuelo, E. C., Zolfaghari, F. S., Boldemann, O., Hasan, M. M., Biagini, T., Umanski, D., Shemesh, Y., et al. (2026) · iScience · doi:10.1016/j.isci.2026.116825 · Cited by 1 · see citing works
Neuropsychiatric research in 2023: mechanisms of stress and therapies
López, J. P., & Chen, A. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(23)00469-6 · Cited by 1 · see citing works
Bray, N. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0247-9 · Cited by 1 · see citing works
Computational behavior analysis takes on drug development
Kennedy, A. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00722-3 · Cited by 1 · see citing works
Copy number variation in small nucleolar RNAs regulates personality behaviorPreprint
Keshavarz, M., Krebs-Wheaton, R., Refki, P. N., Guenther, A., Brückl, T. M., Binder, E. B., & Tautz, D. (2018) · MPG.PuRe (Max Planck Society) · Cited by 1 · see citing works
Group social dynamics in a semi-natural setup reveal an adaptive value for aggression in male micePreprint
Anpilov, S., Shemesh, Y., Benjamin, A., Biagini, T., Sztainberg, Y., Richter-Levin, A., Forkosh, O., & Chen, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.25.591070 · Cited by 1 · see citing works
Sanguino‐Gómez, J., Güçlü, U., Krugers, H. J., & Lozano, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.01.673507 · Cited by 1 · see citing works
Pharmacological Inhibition of FKBP51 Mitigates Early Life Adversity-Induced Social DeficitsPreprint
Bordes, J., Ji, X., Gasperoni, S., Sudre-Chinsky, C., Harbich, D., Flachskamm, C., Fontanet, P., Narayan, S. V., Uhr, M., Namendorf, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.13.694102 · Cited by 1 · see citing works
Exploring individual differences through network topologyPreprint
Samoilov-Katz, Y., Louzoun, Y., Muchnik, L., & Zaidel, A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.13672
Forkosh, O., & Sinervo, B. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.13.484125
Ryvkin, J., Shmueli, A., Levi, M., Jacob, A., Shalit, T., Bentzur, A., Agranovich, B., Abramovich, I., Gottlieb, E., Nässel, D. R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.02.482596
Mitelut, C., Castro, M. D., Peterson, R. E., Gonçalves, M., Li, J., Gamer, M., Nilsson, S. R. O., Pereira, T. D., & Sanes, D. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003348
The Study of Emotion in Other Animals
Karamihalev, S., & Gogolla, N. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009342919.011
Armony, J., & Vuilleumier, P. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009342919.005
Preclinical Models of Emotional Dysregulations in Animals
Bittar, T. P., Bordes, J., Nicolas, C., Calhoon, G. G., & Beyeler, A. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009342919.039
Armony, J., & Vuilleumier, P. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009342919.035
Mirofle, N., Jamain, S., Chauveau, F., Penot, M., Chater, D., Latapie, V., Deneux, T., Faure, A., & Granon, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.23.684125
Pozeilov, H., Dayan, E., Yehuda, R., Levi, M., Shohat-Ophir, G., & Forkosh, O. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.19.689229
The adaptive tasks and trade-offs that drive the human value system
Markovitch, N., Amir, D. H., Kavod, R. Z., Knafo‐Noam, A., & Hart, Y. (2025) · Communications Psychology · doi:10.1038/s44271-025-00382-8
Animal models in psychedelic research – Tripping over translationPreprint
Hay, M. Y. A. E., Cukić, A., Schölvinck, M. L., & Havenith, M. N. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.14.699469
- Authors
- Forkosh, O., Karamihalev, S., Roeh, S., Alon, U., Anpilov, S., Touma, C., Nussbaumer, M., Flachskamm, C., Kaplick, P. M., Shemesh, Y., & Chen, A.
- Affiliations
- Max Planck Institute of Psychiatry (DE)
- Weizmann Institute of Science (IL)
- Osnabrück University (DE)
- Corresponding author
- Chen, Alon
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2019-11-04
- Volume
- 22
- Issue
- 12
- Pages
- 2023-2028
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2986988144
- Cited by
- 110
- References
- 23
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 17 · 2023: 14 · 2022: 18 · 2021: 13 · 2020: 15 · 2019: 2 · 2018: 1
- FWCI
- 9.40
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Nature Neuroscience (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Pratt Foundation
- Perlman Family Foundation
- International Max Planck Research School for Environmental, Cellular and Molecular Microbiology
- Weizmann Institute of Science
- Bundesministerium für Bildung und Forschung (01KU1501A)
- Israel Science Foundation (1565/15, 1916/12)
- Max-Planck-Gesellschaft
- Ministry of Health, State of Israel
- International Max Planck Research School for Advanced Methods in Process and Systems Engineering
- Israeli Centers for Research Excellence (1916/12)
- Planning and Budgeting Committee of the Council for Higher Education of Israel
- FP7 Ideas: European Research Council (260463)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Keywords
- individual differences, personality traits, identity domains, behavioral repertoire, mathematical framework, group-housed mice, gene expression, brain
- MeSH terms
- Animals, Behavior, Animal, Hierarchy, Social, Individuality, Male, Models, Theoretical, Personality, Social Behavior, Mice
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