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      Behavioral and brain responses to verbal stimuli reveal transient periods of cognitive integration of the external world during sleep

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          Abstract

          Sleep has long been considered as a state of behavioral disconnection from the environment, without reactivity to external stimuli. Here we questioned this ‘sleep disconnection’ dogma by directly investigating behavioral responsiveness in 49 napping participants (27 with narcolepsy and 22 healthy volunteers) engaged in a lexical decision task. Participants were instructed to frown or smile depending on the stimulus type. We found accurate behavioral responses, visible via contractions of the corrugator or zygomatic muscles, in most sleep stages in both groups (except slow-wave sleep in healthy volunteers). Across sleep stages, responses occurred more frequently when stimuli were presented during high cognitive states than during low cognitive states, as indexed by prestimulus electroencephalography. Our findings suggest that transient windows of reactivity to external stimuli exist during bona fide sleep, even in healthy individuals. Such windows of reactivity could pave the way for real-time communication with sleepers to probe sleep-related mental and cognitive processes.

          Abstract

          We typically assume that we lose the ability to react to the outside world when sleeping. Oudiette et al. show that, in most sleep stages, humans can use their facial muscles to respond to spoken words during transient ‘connected’ periods.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            SciPy 1.0: fundamental algorithms for scientific computing in Python

            SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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              Array programming with NumPy

              Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves 1 and in the first imaging of a black hole 2 . Here we review how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data. NumPy is the foundation upon which the scientific Python ecosystem is constructed. It is so pervasive that several projects, targeting audiences with specialized needs, have developed their own NumPy-like interfaces and array objects. Owing to its central position in the ecosystem, NumPy increasingly acts as an interoperability layer between such array computation libraries and, together with its application programming interface (API), provides a flexible framework to support the next decade of scientific and industrial analysis.
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                Author and article information

                Contributors
                delphine.oudiette@icm-institute.org
                Journal
                Nat Neurosci
                Nat Neurosci
                Nature Neuroscience
                Nature Publishing Group US (New York )
                1097-6256
                1546-1726
                12 October 2023
                12 October 2023
                2023
                : 26
                : 11
                : 1981-1993
                Affiliations
                [1 ]Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, INSERM, CNRS, Paris, France
                [2 ]AP-HP, Hôpital Pitié-Salpêtrière, Service des Pathologies du Sommeil, National Reference Centre for Narcolepsy, ( https://ror.org/02mh9a093) Paris, France
                [3 ]Sorbonne Université, INSERM, Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France
                [4 ]AP-HP, Hôpital Pitié-Salpêtrière, Service de Neurophysiologie Clinique, ( https://ror.org/02mh9a093) Paris, France
                Author information
                http://orcid.org/0000-0002-4721-7376
                http://orcid.org/0000-0002-2874-1009
                http://orcid.org/0000-0002-6598-4130
                Article
                1449
                10.1038/s41593-023-01449-7
                10620087
                37828228
                ebce58f3-5480-457f-8c1f-9211b409c855
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 May 2022
                : 5 September 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001665, Agence Nationale de la Recherche (French National Research Agency);
                Award ID: ANR-20-CE37-0001-01
                Award Recipient :
                Funded by: Société Française de Recherche et Médecine du Sommeil
                Funded by: French Ministry of Higher Education
                Funded by: Institut National de la Santé et de la Recherche Médicale (National Institute of Health and Medical Research)
                Funded by: APHP and Sorbonne University (‘Poste d’accueil APHP’)
                Funded by: UNIM
                Funded by: National Program on Rare Diseases (PNMR-3 grant)
                Categories
                Article
                Custom metadata
                © Springer Nature America, Inc. 2023

                Neurosciences
                consciousness,sleep
                Neurosciences
                consciousness, sleep

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