IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0113855.html
   My bibliography  Save this article

Quantifying the Behavioural Relevance of Hippocampal Neurogenesis

Author

Listed:
  • Stanley E Lazic
  • Johannes Fuss
  • Peter Gass

Abstract

Few studies that examine the neurogenesis–behaviour relationship formally establish covariation between neurogenesis and behaviour or rule out competing explanations. The behavioural relevance of neurogenesis might therefore be overestimated if other mechanisms account for some, or even all, of the experimental effects. A systematic review of the literature was conducted and the data reanalysed using causal mediation analysis, which can estimate the behavioural contribution of new hippocampal neurons separately from other mechanisms that might be operating. Results from eleven eligible individual studies were then combined in a meta-analysis to increase precision (representing data from 215 animals) and showed that neurogenesis made a negligible contribution to behaviour (standarised effect = 0.15; 95% CI = −0.04 to 0.34; p = 0.128); other mechanisms accounted for the majority of experimental effects (standardised effect = 1.06; 95% CI = 0.74 to 1.38; p = 1.7×10−11).

Suggested Citation

  • Stanley E Lazic & Johannes Fuss & Peter Gass, 2014. "Quantifying the Behavioural Relevance of Hippocampal Neurogenesis," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-14, November.
    • Handle: RePEc:plo:pone00:0113855
    DOI: 10.1371/journal.pone.0113855
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113855
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0113855&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0113855?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Emily S Sena & H Bart van der Worp & Philip M W Bath & David W Howells & Malcolm R Macleod, 2010. "Publication Bias in Reports of Animal Stroke Studies Leads to Major Overstatement of Efficacy," PLOS Biology, Public Library of Science, vol. 8(3), pages 1-8, March.
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    3. Carol Kilkenny & Nick Parsons & Ed Kadyszewski & Michael F W Festing & Innes C Cuthill & Derek Fry & Jane Hutton & Douglas G Altman, 2009. "Survey of the Quality of Experimental Design, Statistical Analysis and Reporting of Research Using Animals," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-11, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bernhard Voelkl & Lucile Vogt & Emily S Sena & Hanno Würbel, 2018. "Reproducibility of preclinical animal research improves with heterogeneity of study samples," PLOS Biology, Public Library of Science, vol. 16(2), pages 1-13, February.
    2. David Baker & Katie Lidster & Ana Sottomayor & Sandra Amor, 2014. "Two Years Later: Journals Are Not Yet Enforcing the ARRIVE Guidelines on Reporting Standards for Pre-Clinical Animal Studies," PLOS Biology, Public Library of Science, vol. 12(1), pages 1-6, January.
    3. Carol Kilkenny & William J Browne & Innes C Cuthill & Michael Emerson & Douglas G Altman, 2010. "Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research," PLOS Biology, Public Library of Science, vol. 8(6), pages 1-5, June.
    4. Whitney S Beck & Ed K Hall, 2018. "Confounding factors in algal phosphorus limitation experiments," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    5. Xindong Xue & W. Robert Reed & Robbie C.M. van Aert, 2022. "Social Capital and Economic Growth: A Meta-Analysis," Working Papers in Economics 22/20, University of Canterbury, Department of Economics and Finance.
    6. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    7. Dean A Fergusson & Marc T Avey & Carly C Barron & Mathew Bocock & Kristen E Biefer & Sylvain Boet & Stephane L Bourque & Isidora Conic & Kai Chen & Yuan Yi Dong & Grace M Fox & Ronald B George & Neil , 2019. "Reporting preclinical anesthesia study (REPEAT): Evaluating the quality of reporting in the preclinical anesthesiology literature," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.
    8. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    9. repec:cup:judgdm:v:15:y:2020:i:6:p:972-988 is not listed on IDEAS
    10. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    11. Mario Herberz & Tobias Brosch & Ulf J. J. Hahnel, 2020. "Kilo what? Default units increase value sensitivity in joint evaluations of energy efficiency," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(6), pages 972-988, November.
    12. Piers Steel & Sjoerd Beugelsdijk & Herman Aguinis, 2021. "The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 23-44, February.
    13. Molo, Fabio & Pawel, Samuel & Fraga González, Gorka, 2024. "A Robustness Reproduction of "A Systematic Review and Meta-Analysis of 90 Cohort Studies of Social Isolation, Loneliness and Mortality"," I4R Discussion Paper Series 169, The Institute for Replication (I4R).
    14. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    15. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    16. Geller, Susann & Wilhelm, Oliver & Wacker, Jan & Hamm, Alfons & Hildebrandt, Andrea, 2017. "Associations of the COMT Val158Met polymorphism with working memory and intelligence – A review and meta-analysis," Intelligence, Elsevier, vol. 65(C), pages 75-92.
    17. Gignac, Gilles E. & Bates, Timothy C., 2017. "Brain volume and intelligence: The moderating role of intelligence measurement quality," Intelligence, Elsevier, vol. 64(C), pages 18-29.
    18. Stephan Kambach & Ingolf Kühn & Bastien Castagneyrol & Helge Bruelheide, 2016. "The Impact of Tree Diversity on Different Aspects of Insect Herbivory along a Global Temperature Gradient - A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    19. Julian Packheiser & Helena Hartmann & Kelly Fredriksen & Valeria Gazzola & Christian Keysers & Frédéric Michon, 2024. "A systematic review and multivariate meta-analysis of the physical and mental health benefits of touch interventions," Nature Human Behaviour, Nature, vol. 8(6), pages 1088-1107, June.
    20. Nan Wang & Yuxiang Luan & Rui Ma, 2024. "Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    21. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
    22. Senlin Zhou & Yunpeng Wu & Xizheng Xu, 2023. "Linking Cognitive Reappraisal and Expressive Suppression to Mindfulness: A Three-Level Meta-Analysis," IJERPH, MDPI, vol. 20(2), pages 1-16, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0113855. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.