English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Identity domains capture individual differences from across the behavioral repertoire

Forkosh, O., Karamihalev, S., Roeh, S., Alon, U., Anpilov, S., Touma, C., et al. (2019). Identity domains capture individual differences from across the behavioral repertoire. Nature Neuroscience, 22(12), 2023-+. doi:10.1038/s41593-019-0516-y.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-F8C7-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-F8C8-2
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Forkosh, Oren1, Author              
Karamihalev, Stoyo1, Author              
Roeh, Simone2, 3, Author              
Alon, Uri, Author
Anpilov, Sergey1, Author              
Touma, Chadi1, Author              
Nussbaumer, Markus1, 4, Author              
Flachskamm, Cornelia5, Author              
Kaplick, Paul M.1, Author              
Shemesh, Yair1, Author              
Chen, Alon1, Author              
Affiliations:
1Dept. Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035294              
2AG Binder, Elisabeth, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society, ou_1607142              
3Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              
4AG Landgraf, Rainer, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society, ou_1607151              
5AG Kimura, Mayumi, Florian Holsboer (Direktor), Max Planck Institute of Psychiatry, Max Planck Society, ou_1607150              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2019-11-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000499644100010
DOI: 10.1038/s41593-019-0516-y
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nature Neuroscience
  Other : Nat. Neurosci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Nature America Inc.
Pages: - Volume / Issue: 22 (12) Sequence Number: - Start / End Page: 2023 - + Identifier: ISSN: 1097-6256
CoNE: https://pure.mpg.de/cone/journals/resource/954925610931