bioRxiv preprint doi: https://doi.org/10.1101/2020.02.13.948539; this version posted February 1, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Running head: SLEEP AND LANGUAGE LEARNING 1 Spindle-slow oscillation coupling during sleep predicts sequence-based language learning Zachariah R. Cross1*, Randolph F. Helfrich2, Andrew W. Corcoran1,3, Mark J. Kohler1, 4, Scott Coussens1, Lena Zou-Williams1, Matthias Schlesewsky1, M. Gareth Gaskell5, Robert T. Knight6,7, Ina Bornkessel- Schlesewsky1 1CoGnitive and Systems Neuroscience Research Hub, University of South Australia, Adelaide, Australia. 2Center for NeuroloGy, Hertie-Institute for Clinical Brain Research, University of TübinGen, Germany. 3CoGnition and Philosophy Laboratory, Monash University, Melbourne, Australia. 4Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia. 5Department of PsycholoGy, University of York, York, United KinGdom. 6Department of Psychology, UC Berkeley, Berkeley, California, USA. 7Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA. *Corresponding author: Tel. +61 8 8302 4375, e-mail:
[email protected] Manuscript details Number of paGes: 36 Number of fiGures: 8 Abstract word count: 173 Introduction word count: 2,599 Discussion word count: 2,513 Data available at: TBC Code available at: TBC Author Contribution: Conceptualization by Z.C., I.B-S., M.S. and M.J.K. Data curation by Z.C. and L.Z.W. Data pre-processing and analysis by Z.C., S.C., R.F.H., and A.W.C.