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Leach S, Krugliakova E, Sousouri G, Snipes S, Skorucak J, Schühle S, Müller M, Ferster ML, Da Poian G, Karlen W, Huber R. Acoustically evoked K-complexes together with sleep spindles boost verbal declarative memory consolidation in healthy adults. Sci Rep 2024; 14:19184. [PMID: 39160150 PMCID: PMC11333484 DOI: 10.1038/s41598-024-67701-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 07/15/2024] [Indexed: 08/21/2024] Open
Abstract
Over the past decade, phase-targeted auditory stimulation (PTAS), a neuromodulation approach which presents auditory stimuli locked to the ongoing phase of slow waves during sleep, has shown potential to enhance specific aspects of sleep functions. However, the complexity of PTAS responses complicates the establishment of causality between specific electroencephalographic events and observed benefits. Here, we used down-PTAS during sleep to specifically evoke the early, K-complex (KC)-like response following PTAS without leading to a sustained increase in slow-wave activity throughout the stimulation window. Over the course of two nights, one with down-PTAS, the other without, high-density electroencephalography (hd-EEG) was recorded from 14 young healthy adults. The early response exhibited striking similarities to evoked KCs and was associated with improved verbal memory consolidation via stimulus-evoked spindle events nested into the up-phase of ongoing 1 Hz waves in a central region. These findings suggest that the early, KC-like response is sufficient to boost memory, potentially by orchestrating aspects of the hippocampal-neocortical dialogue.
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Affiliation(s)
- Sven Leach
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Elena Krugliakova
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Georgia Sousouri
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Mobile Health Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Institute of Pharmacology & Toxicology, University of Zurich, Zurich, Switzerland
| | - Sophia Snipes
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jelena Skorucak
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Selina Schühle
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Manuel Müller
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Maria Laura Ferster
- Mobile Health Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
| | - Giulia Da Poian
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Walter Karlen
- Mobile Health Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland
- Institute of Biomedical Engineering, Faculty of Engineering, Computer Science and Psychology, Ulm University, Ulm, Germany
| | - Reto Huber
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
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Studler M, Gianotti LRR, Lobmaier J, Maric A, Knoch D. Human Prosocial Preferences Are Related to Slow-Wave Activity in Sleep. J Neurosci 2024; 44:e0885232024. [PMID: 38467433 PMCID: PMC11007317 DOI: 10.1523/jneurosci.0885-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 12/27/2023] [Accepted: 01/03/2024] [Indexed: 03/13/2024] Open
Abstract
Prosocial behavior is crucial for the smooth functioning of the society. Yet, individuals differ vastly in the propensity to behave prosocially. Here, we try to explain these individual differences under normal sleep conditions without any experimental modulation of sleep. Using a portable high-density EEG, we measured the sleep data in 54 healthy adults (28 females) during a normal night's sleep at the participants' homes. To capture prosocial preferences, participants played an incentivized public goods game in which they faced real monetary consequences. The whole-brain analyses showed that a higher relative slow-wave activity (SWA, an indicator of sleep depth) in a cluster of electrodes over the right temporoparietal junction (TPJ) was associated with increased prosocial preferences. Source localization and current source density analyses further support these findings. Recent sleep deprivation studies imply that sleeping enough makes us more prosocial; the present findings suggest that it is not only sleep duration, but particularly sufficient sleep depth in the TPJ that is positively related to prosociality. Because the TPJ plays a central role in social cognitive functions, we speculate that sleep depth in the TPJ, as reflected by relative SWA, might serve as a dispositional indicator of social cognition ability, which is reflected in prosocial preferences. These findings contribute to the emerging framework explaining the link between sleep and prosocial behavior by shedding light on the underlying mechanisms.
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Affiliation(s)
- Mirjam Studler
- Department of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Bern 3012, Switzerland
| | - Lorena R R Gianotti
- Department of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Bern 3012, Switzerland
| | - Janek Lobmaier
- Department of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Bern 3012, Switzerland
| | - Angelina Maric
- Department of Neurology, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Daria Knoch
- Department of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Bern 3012, Switzerland
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LaGoy AD, Kubala AG, Deering S, Germain A, Markwald RR. Dawn of a New Dawn: Advances in Sleep Health to Optimize Performance. Sleep Med Clin 2023; 18:361-371. [PMID: 37532375 DOI: 10.1016/j.jsmc.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Optimal sleep health is a critical component to high-level performance. In populations such as the military, public service (eg, firefighters), and health care, achieving optimal sleep health is difficult and subsequently deficiencies in sleep health may lead to performance decrements. However, advances in sleep monitoring technologies and mitigation strategies for poor sleep health show promise for further ecological scientific investigation within these populations. The current review briefly outlines the relationship between sleep health and performance as well as current advances in behavioral and technological approaches to improving sleep health for performance.
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Affiliation(s)
- Alice D LaGoy
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA; Leidos, Inc., San Diego, CA, USA
| | - Andrew G Kubala
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA; Leidos, Inc., San Diego, CA, USA
| | - Sean Deering
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA; Leidos, Inc., San Diego, CA, USA
| | | | - Rachel R Markwald
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA.
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Leach S, Sousouri G, Huber R. 'High-Density-SleepCleaner': An open-source, semi-automatic artifact removal routine tailored to high-density sleep EEG. J Neurosci Methods 2023; 391:109849. [PMID: 37075912 DOI: 10.1016/j.jneumeth.2023.109849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/19/2023] [Accepted: 03/10/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND With up to 256 channels, high-density electroencephalography (hd-EEG) has become essential to the sleep research field. The vast amount of data resulting from this magnitude of channels in overnight EEG recordings complicates the removal of artifacts. NEW METHOD We present a new, semi-automatic artifact removal routine specifically designed for sleep hd-EEG recordings. By employing a graphical user interface (GUI), the user assesses epochs in regard to four sleep quality markers (SQMs). Based on their topography and underlying EEG signal, the user eventually removes artifactual values. To identify artifacts, the user is required to have basic knowledge of the typical (patho-)physiological EEG they are interested in, as well as artifactual EEG. The final output consists of a binary matrix (channels x epochs). Channels affected by artifacts can be restored in afflicted epochs using epoch-wise interpolation, a function included in the online repository. RESULTS The routine was applied in 54 overnight sleep hd-EEG recordings. The proportion of bad epochs highly depends on the number of channels required to be artifact-free. Between 95% and 100% of bad epochs could be restored using epoch-wise interpolation. We furthermore present a detailed examination of two extreme cases (with few and many artifacts). For both nights, the topography and cyclic pattern of delta power look as expected after artifact removal. COMPARISON WITH EXISTING METHODS Numerous artifact removal methods exist, yet their scope of application usually targets short wake EEG recordings. The proposed routine provides a transparent, practical, and efficient approach to identify artifacts in overnight sleep hd-EEG recordings. CONCLUSION This method reliably identifies artifacts simultaneously in all channels and epochs.
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Affiliation(s)
- Sven Leach
- Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Georgia Sousouri
- Institute of Pharmacology & Toxicology, University of Zurich, Zurich, Switzerland.
| | - Reto Huber
- Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
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