The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Identity domains capture individual differences from across the behavioral repertoire
Open accessPublished version of a preprint
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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“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
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
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
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
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 21,030
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
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
Personality in Adulthood: A Five-Factor Theory Perspective
McCrae, R., & Costa, P. (2005) · doi:10.4324/9780203428412 · Cited by 2,355
Personality in Adulthood: A Five-Factor Theory Perspective
McCrae, R. R., & Costa, P. T. (2005) · Cited by 1,645
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
Research works printed but not linked: 2
- Duda, R. O., Hart, P. E. & Stork, D. G. Pattern Classification (Wiley, 2012).
- Franklin, K. B. J & Paxinos, G. The Mouse Brain in Stereotaxic Coordinates (Academic Press, 1997).
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Khatamsaz, E., Ionescu, T. M., Keppler, K., Stoller, F., Kätzel, D., Marston, H. M., & Hengerer, B. (2026) · Communications Biology · doi:10.1038/s42003-026-10060-y
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Li, Z., Endo, N., Makinodan, M., Yamamuro, K., Yoshimoto, J., Nishi, M., & Ikeda, K. (2026) · SICE Journal of Control Measurement and System Integration · doi:10.1080/18824889.2026.2718619
Multilevel sex-influenced neurobiological signatures of early life adversity
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Metadata
- 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
- 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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