{"user_id":"46","date_created":"2023-01-10T06:42:31Z","language":[{"iso":"eng"}],"article_number":"21868","date_updated":"2023-03-13T15:21:32Z","department":[{"_id":"17"},{"_id":"172"}],"publication":"Scientific Reports","citation":{"bibtex":"@article{Büchel_Lehmann_Sandbakk_Baumeister_2021, title={EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks}, volume={11}, DOI={10.1038/s41598-021-01494-x}, number={121868}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Büchel, Daniel and Lehmann, Tim and Sandbakk, Øyvind and Baumeister, Jochen}, year={2021} }","ama":"Büchel D, Lehmann T, Sandbakk Ø, Baumeister J. EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks. Scientific Reports. 2021;11(1). doi:10.1038/s41598-021-01494-x","ieee":"D. Büchel, T. Lehmann, Ø. Sandbakk, and J. Baumeister, “EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks,” Scientific Reports, vol. 11, no. 1, Art. no. 21868, 2021, doi: 10.1038/s41598-021-01494-x.","chicago":"Büchel, Daniel, Tim Lehmann, Øyvind Sandbakk, and Jochen Baumeister. “EEG‑derived Brain Graphs Are Reliable Measures for Exploring Exercise‑induced Changes in Brain Networks.” Scientific Reports 11, no. 1 (2021). https://doi.org/10.1038/s41598-021-01494-x.","mla":"Büchel, Daniel, et al. “EEG‑derived Brain Graphs Are Reliable Measures for Exploring Exercise‑induced Changes in Brain Networks.” Scientific Reports, vol. 11, no. 1, 21868, Springer Science and Business Media LLC, 2021, doi:10.1038/s41598-021-01494-x.","short":"D. Büchel, T. Lehmann, Ø. Sandbakk, J. Baumeister, Scientific Reports 11 (2021).","apa":"Büchel, D., Lehmann, T., Sandbakk, Ø., & Baumeister, J. (2021). EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks. Scientific Reports, 11(1), Article 21868. https://doi.org/10.1038/s41598-021-01494-x"},"keyword":["Multidisciplinary"],"volume":11,"author":[{"full_name":"Büchel, Daniel","id":"41088","last_name":"Büchel","first_name":"Daniel"},{"first_name":"Tim","full_name":"Lehmann, Tim","id":"41584","last_name":"Lehmann"},{"first_name":"Øyvind","full_name":"Sandbakk, Øyvind","last_name":"Sandbakk"},{"id":"46","full_name":"Baumeister, Jochen","orcid":"0000-0003-2683-5826","last_name":"Baumeister","first_name":"Jochen"}],"intvolume":" 11","_id":"35626","doi":"10.1038/s41598-021-01494-x","issue":"1","type":"journal_article","year":"2021","publication_identifier":{"issn":["2045-2322"]},"publisher":"Springer Science and Business Media LLC","publication_status":"published","status":"public","title":"EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks"}