Cortical Thinning Explains Changes in Sleep Slow Waves during Adulthood

Sleep slow waves (SWs) change considerably throughout normal aging. In humans, SWs are generated and propagate on a structural backbone of highly interconnected cortical regions that form most of the default mode network, such as the insula, cingulate cortices, temporal lobe, parietal lobe, and medial frontal lobe. Regions in this network undergo cortical thinning and breakdown in structural and functional connectivity over the course of normal aging. In this study, we investigated how changes in cortical thickness (CT), a measure of gray matter integrity, are involved in modifications of sleep SWs during adulthood in humans. Thirty young (mean age = 23.49 years; SD = 2.79) and 33 older (mean age = 60.35 years; SD = 5.71) healthy subjects underwent a nocturnal polysomnography and T1 MRI. We show that, when controlling for age, higher SW density (nb/min of nonrapid eye movement sleep) was associated with higher CT in cortical regions involved in SW generation surrounding the lateral fissure (insula, superior temporal, parietal, middle frontal), whereas higher SW amplitude was associated with higher CT in middle frontal, medial prefrontal, and medial posterior regions. Mediation analyses demonstrated that thinning in a network of cortical regions involved in SW generation and propagation, but also in cognitive functions, explained the age-related decrease in SW density and amplitude. Altogether, our results suggest that microstructural degradation of specific cortical regions compromise SW generation and propagation in older subjects, critically contributing to age-related changes in SW oscillations.

[1]  A. Dale,et al.  High consistency of regional cortical thinning in aging across multiple samples. , 2009, Cerebral cortex.

[2]  D. McCormick,et al.  Neocortical Network Activity In Vivo Is Generated through a Dynamic Balance of Excitation and Inhibition , 2006, The Journal of Neuroscience.

[3]  Alan C. Evans,et al.  Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification , 2005, NeuroImage.

[4]  P. Tu,et al.  Effect of Bcl-2 rs956572 Polymorphism on Age-Related Gray Matter Volume Changes , 2013, PloS one.

[5]  M. Steriade,et al.  A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[6]  Alan C. Evans,et al.  Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI , 2000, NeuroImage.

[7]  Maxim Volgushev,et al.  Precise Long-Range Synchronization of Activity and Silence in Neocortical Neurons during Slow-Wave Sleep , 2006, The Journal of Neuroscience.

[8]  P. Tu,et al.  Effect of Bcl-2 rs956572 SNP on regional gray matter volumes and cognitive function in elderly males without dementia , 2013, AGE.

[9]  Manuel Schabus,et al.  Spontaneous neural activity during human slow wave sleep , 2008, Proceedings of the National Academy of Sciences.

[10]  B. Nolan Boosting slow oscillations during sleep potentiates memory , 2008 .

[11]  Alan C Evans,et al.  Impact of scale space search on age‐ and gender‐related changes in MRI‐based cortical morphometry , 2013, Human brain mapping.

[12]  T. Paus,et al.  Why do many psychiatric disorders emerge during adolescence? , 2008, Nature Reviews Neuroscience.

[13]  Hans-Peter Landolt,et al.  Age-dependent changes in sleep EEG topography , 2001, Clinical Neurophysiology.

[14]  Jennifer R. Ramautar,et al.  Individual Differences in White Matter Diffusion Affect Sleep Oscillations , 2013, The Journal of Neuroscience.

[15]  Gilles Vandewalle,et al.  Sleep slow wave changes during the middle years of life , 2011, The European journal of neuroscience.

[16]  G. Tononi,et al.  Cortical Firing and Sleep Homeostasis , 2009, Neuron.

[17]  G. Vandewalle,et al.  Reduced Slow-Wave Rebound during Daytime Recovery Sleep in Middle-Aged Subjects , 2012, PloS one.

[18]  Janet B W Williams,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[19]  M Steriade,et al.  Disconnection of intracortical synaptic linkages disrupts synchronization of a slow oscillation , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[20]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[21]  O. Sporns,et al.  Rich-Club Organization of the Human Connectome , 2011, The Journal of Neuroscience.

[22]  Sean L. Hill,et al.  The Sleep Slow Oscillation as a Traveling Wave , 2004, The Journal of Neuroscience.

[23]  O. Sporns,et al.  High-cost, high-capacity backbone for global brain communication , 2012, Proceedings of the National Academy of Sciences.

[24]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[25]  D. Louis Collins,et al.  Automated 3D nonlinear deformation procedure for determination of gross morphometric variability in human brain , 1994, Other Conferences.

[26]  Bruce Fischl,et al.  Regional white matter volume differences in nondemented aging and Alzheimer's disease , 2009, NeuroImage.

[27]  Lutz Jäncke,et al.  Training-Induced Neural Plasticity in Golf Novices , 2011, The Journal of Neuroscience.

[28]  G. Palm,et al.  Density of neurons and synapses in the cerebral cortex of the mouse , 1989, The Journal of comparative neurology.

[29]  Matthew P. Walker,et al.  Structural brain correlates of human sleep oscillations , 2013, NeuroImage.

[30]  J. Luebke,et al.  Normal aging results in decreased synaptic excitation and increased synaptic inhibition of layer 2/3 pyramidal cells in the monkey prefrontal cortex , 2004, Neuroscience.

[31]  Andreas Engvig,et al.  Effects of memory training on cortical thickness in the elderly , 2010, NeuroImage.

[32]  R. Huber,et al.  Anatomical markers of sleep slow wave activity derived from structural magnetic resonance images , 2011, Journal of sleep research.

[33]  Angela D. Friederici,et al.  Lateral Inferotemporal Cortex Maintains ConceptualSemantic Representations in Verbal Working Memory , 2007, Journal of Cognitive Neuroscience.

[34]  Jason C. Wester,et al.  Columnar Interactions Determine Horizontal Propagation of Recurrent Network Activity in Neocortex , 2012, The Journal of Neuroscience.

[35]  K. Harris,et al.  Sleep and the single neuron: the role of global slow oscillations in individual cell rest , 2013, Nature Reviews Neuroscience.

[36]  Y. Koninck,et al.  Imbalance towards inhibition as a substrate of aging-associated cognitive impairment , 2006, Neuroscience Letters.

[37]  A. Hayes Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[38]  J. Born,et al.  Boosting slow oscillations during sleep potentiates memory , 2006, Nature.

[39]  Maxim Volgushev,et al.  Origin of Active States in Local Neocortical Networks during Slow Sleep Oscillation , 2010, Cerebral cortex.

[40]  A. Beck,et al.  An inventory for measuring clinical anxiety: psychometric properties. , 1988, Journal of consulting and clinical psychology.

[41]  Jean-François Gagnon,et al.  Sleep spindles and rapid eye movement sleep as predictors of next morning cognitive performance in healthy middle‐aged and older participants , 2014, Journal of sleep research.

[42]  R. Vasko,et al.  Muscle artifacts in the sleep EEG: Automated detection and effect on all‐night EEG power spectra , 1996, Journal of sleep research.

[43]  M. Steriade Grouping of brain rhythms in corticothalamic systems , 2006, Neuroscience.

[44]  D. Contreras,et al.  The slow (< 1 Hz) oscillation in reticular thalamic and thalamocortical neurons: scenario of sleep rhythm generation in interacting thalamic and neocortical networks , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[45]  K. Worsley,et al.  Unified univariate and multivariate random field theory , 2004, NeuroImage.

[46]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[47]  Alan C. Evans,et al.  Fast and robust parameter estimation for statistical partial volume models in brain MRI , 2004, NeuroImage.

[48]  Irene E. Nagel,et al.  Cortical thickness is linked to executive functioning in adulthood and aging , 2012, Human brain mapping.

[49]  G. Tononi,et al.  Source modeling sleep slow waves , 2009, Proceedings of the National Academy of Sciences.

[50]  D. Louis Collins,et al.  Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults , 2006, MICCAI.

[51]  A. Borbély,et al.  All‐night dynamics of the human sleep EEG , 1993, Journal of sleep research.

[52]  A. Gemignani,et al.  Functional Structure of Spontaneous Sleep Slow Oscillation Activity in Humans , 2009, PloS one.

[53]  Maxim Volgushev,et al.  Precise long-range synchronization of activity and silence in neocortical neurons during slow-wave oscillations [corrected]. , 2006, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[54]  G. Tononi,et al.  Sleep and the Price of Plasticity: From Synaptic and Cellular Homeostasis to Memory Consolidation and Integration , 2014, Neuron.

[55]  Kristopher J Preacher,et al.  Effect size measures for mediation models: quantitative strategies for communicating indirect effects. , 2011, Psychological methods.

[56]  M. Walker,et al.  Prefrontal atrophy, disrupted NREM slow waves, and impaired hippocampal-dependent memory in aging , 2013, Nature Neuroscience.

[57]  I. Fried,et al.  Regional Slow Waves and Spindles in Human Sleep , 2011, Neuron.

[58]  H. Schulz,et al.  Phasic or transient? Comment on the terminology of the AASM manual for the scoring of sleep and associated events. , 2007, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[59]  R. Huber,et al.  EEG sleep slow-wave activity as a mirror of cortical maturation. , 2011, Cerebral cortex.