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Morten L. Kringelbach

Large-scale societal dynamics are reflected in human mood and brain

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

  • Alexander V. Lebedev, Karolinska Institutet
  • ,
  • Christoph Abé, Karolinska Institutet
  • ,
  • Kasim Acar, Karolinska Institutet
  • ,
  • Gustavo Deco, Pompeu Fabra University, ICREA
  • ,
  • Morten L. Kringelbach
  • Martin Ingvar, Karolinska Institutet
  • ,
  • Predrag Petrovic, Karolinska Institutet

The stock market is a bellwether of socio-economic changes that may directly affect individual well-being. Using large-scale UK-biobank data generated over 14 years, we applied specification curve analysis to rigorously identify significant associations between the local stock market index (FTSE100) and 479,791 UK residents’ mood, as well as their alcohol intake and blood pressure adjusting the results for a large number of potential confounders, including age, sex, linear and non-linear effects of time, research site, other stock market indexes. Furthermore, we found similar associations between FTSE100 and volumetric measures of affective brain regions in a subsample (n = 39,755; measurements performed over 5.5 years), which were particularly strong around phase transitions characterized by maximum volatility in the market. The main findings did not depend on applied effect-size estimation criteria (linear methods or mutual information criterion) and were replicated in two independent US-based studies (Parkinson’s Progression Markers Initiative; n = 424; performed over 2.5 years and MyConnectome; n = 1; 81 measurements over 1.5 years). Our results suggest that phase transitions in the society, indexed by stock market, exhibit close relationships with human mood, health and the affective brain from an individual to population level.

OriginalsprogEngelsk
Artikelnummer4646
TidsskriftScientific Reports
Vol/bind12
ISSN2045-2322
DOI
StatusUdgivet - mar. 2022

Bibliografisk note

Funding Information:
Open access funding provided by Karolinska Institute. The study was funded by The Swedish Research Council (Vetenskapsrådet Grants 2019-01253, 2-70/2014-97), Karolinska Institutet (KID 019-00939, 2-70/2014-97), Swedish Brain Foundation (Hjärnfonden FO2016-0083), ALF Medicine 2017 (20160039), Marianne & Marcus Wallenbergs Stiftelse (MMW2014.0065). PPMI is sponsored and partially funded by The Michael J. Fox Foundation for Parkinson’s Research (MJFF). Other funding partners include a consortium of industry players, non-profit organizations and private individuals. For complete list see: https://www.ppmi-info.org/about-ppmi/who-we-are/study-sponsors .

Publisher Copyright:
© 2022, The Author(s).

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