Heterogeneous Origins of Human Sleep Spindles in Different Cortical Layers

Sleep spindles are a cardinal feature in human NREM sleep and may be important for memory consolidation. We studied the intracortical organization of spindles in men and women by recording spontaneous sleep spindles from different cortical layers using linear microelectrode arrays. Two patterns of spindle generation were identified using visual inspection, and confirmed with factor analysis. Spindles (10–16 Hz) were largest and most common in upper and middle channels, with limited involvement of deep channels. Many spindles were observed in only upper or only middle channels, but approximately half occurred in both. In spindles involving both middle and upper channels, the spindle envelope onset in middle channels led upper by ∼25–50 ms on average. The phase relationship between spindle waves in upper and middle channels varied dynamically within spindle epochs, and across individuals. Current source density analysis demonstrated that upper and middle channel spindles were both generated by an excitatory supragranular current sink while an additional deep source was present for middle channel spindles only. Only middle channel spindles were accompanied by deep low (25–50 Hz) and high (70–170 Hz) gamma activity. These results suggest that upper channel spindles are generated by supragranular pyramids, and middle channel by infragranular. Possibly, middle channel spindles are generated by core thalamocortical afferents, and upper channel by matrix. The concurrence of these patterns could reflect engagement of cortical circuits in the integration of more focal (core) and distributed (matrix) aspects of memory. These results demonstrate that at least two distinct intracortical systems generate human sleep spindles. SIGNIFICANCE STATEMENT Bursts of ∼14 Hz oscillations, lasting ∼1 s, have been recognized for over 80 years as cardinal features of mammalian sleep. Recent findings suggest that they play a key role in organizing cortical activity during memory consolidation. We used linear microelectrode arrays to study their intracortical organization in humans. We found that spindles could be divided into two types. One mainly engages upper layers of the cortex, which are considered to be specialized for associative activity. The other engages both upper and middle layers, including those devoted to sensory input. The interaction of these two spindle types may help organize the interaction of sensory and associative aspects of memory consolidation.

[1]  E. Halgren,et al.  Magnetoencephalography demonstrates multiple asynchronous generators during human sleep spindles. , 2010, Journal of neurophysiology.

[2]  H. Jasper,et al.  Laminar microelectrode analysis of cortical unspecific recruiting responses and spontaneous rhythms. , 1956, Journal of neurophysiology.

[3]  H. Barbas,et al.  Parallel Driving and Modulatory Pathways Link the Prefrontal Cortex and Thalamus , 2007, PloS one.

[4]  R. Morison,et al.  THE INTERACTION OF CERTAIN SPONTANEOUS AND INDUCED CORTICAL POTENTIALS , 1941 .

[5]  Xiaolong Jiang,et al.  Canonical Organization of Layer 1 Neuron-Led Cortical Inhibitory and Disinhibitory Interneuronal Circuits. , 2015, Cerebral cortex.

[6]  Nima Dehghani,et al.  Topographical frequency dynamics within EEG and MEG sleep spindles , 2011, Clinical Neurophysiology.

[7]  Omar J. Ahmed,et al.  Thalamic Control of Layer 1 Circuits in Prefrontal Cortex , 2012, The Journal of Neuroscience.

[8]  J. Born,et al.  About sleep's role in memory. , 2013, Physiological reviews.

[9]  Klas H. Pettersen,et al.  Current-source density estimation based on inversion of electrostatic forward solution: Effects of finite extent of neuronal activity and conductivity discontinuities , 2006, Journal of Neuroscience Methods.

[10]  Klas H. Pettersen,et al.  Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex. , 2007, Journal of neurophysiology.

[11]  J. Born,et al.  Elevated Sleep Spindle Density after Learning or after Retrieval in Rats , 2006, The Journal of Neuroscience.

[12]  I. Fried,et al.  Sleep Spindles in Humans: Insights from Intracranial EEG and Unit Recordings , 2011, The Journal of Neuroscience.

[13]  S. Chokroverty,et al.  The visual scoring of sleep in adults. , 2007, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[14]  F. Bryant,et al.  Principal-components analysis and exploratory and confirmatory factor analysis. , 1995 .

[15]  B. Efron Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods , 1981 .

[16]  Chris Gonzalez,et al.  Coordination of cortical and thalamic activity during non-REM sleep in humans , 2017, Nature Communications.

[17]  T. Sejnowski,et al.  Control of Spatiotemporal Coherence of a Thalamic Oscillation by Corticothalamic Feedback , 1996, Science.

[18]  D. McCormick,et al.  Sleep and arousal: thalamocortical mechanisms. , 1997, Annual review of neuroscience.

[19]  J. Born,et al.  Fast and slow spindles during the sleep slow oscillation: disparate coalescence and engagement in memory processing. , 2011, Sleep.

[20]  E. Halgren,et al.  Laminar analysis of slow wave activity in humans. , 2010, Brain : a journal of neurology.

[21]  E. G. Jones,et al.  Viewpoint: the core and matrix of thalamic organization , 1998, Neuroscience.

[22]  Nima Dehghani,et al.  The Human K-Complex Represents an Isolated Cortical Down-State , 2009, Science.

[23]  E. Halgren,et al.  Emergence of synchronous EEG spindles from asynchronous MEG spindles , 2011, Human brain mapping.

[24]  Stéphane Charpier,et al.  Intracellular activity of cortical and thalamic neurones during high‐voltage rhythmic spike discharge in Long‐Evans rats in vivo , 2006, The Journal of physiology.

[25]  E. Halgren,et al.  The Contribution of Thalamocortical Core and Matrix Pathways to Sleep Spindles , 2016, Neural plasticity.

[26]  M. Larkum A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex , 2013, Trends in Neurosciences.

[27]  Anita Lüthi,et al.  Sleep Spindles , 2014, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[28]  Bruce L McNaughton,et al.  Stored-Trace Reactivation in Rat Prefrontal Cortex Is Correlated with Down-to-Up State Fluctuation Density , 2010, The Journal of Neuroscience.

[29]  Sydney S. Cash,et al.  Spatiotemporal characteristics of sleep spindles depend on cortical location , 2017, NeuroImage.

[30]  István Ulbert,et al.  Multiple microelectrode-recording system for human intracortical applications , 2001, Journal of Neuroscience Methods.

[31]  Elizabeth A. McDevitt,et al.  The Critical Role of Sleep Spindles in Hippocampal-Dependent Memory: A Pharmacology Study , 2013, The Journal of Neuroscience.

[32]  Jen Q. Pan,et al.  Reduced Sleep Spindles in Schizophrenia: A Treatable Endophenotype That Links Risk Genes to Impaired Cognition? , 2016, Biological Psychiatry.

[33]  B. Connors,et al.  Intrinsic oscillations of neocortex generated by layer 5 pyramidal neurons. , 1991, Science.

[34]  E. Halgren,et al.  High-frequency neural activity and human cognition: Past, present and possible future of intracranial EEG research , 2012, Progress in Neurobiology.

[35]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[36]  Tanya I. Baker,et al.  Interactions between Core and Matrix Thalamocortical Projections in Human Sleep Spindle Synchronization , 2012, The Journal of Neuroscience.

[37]  Klas H. Pettersen,et al.  Ion diffusion may introduce spurious current sources in current-source density (CSD) analysis , 2017, Journal of neurophysiology.

[38]  H. Markram,et al.  Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron , 2015, Front. Cell. Neurosci..

[39]  G Buzsáki,et al.  Cellular–Synaptic Generation of Sleep Spindles, Spike-and-Wave Discharges, and Evoked Thalamocortical Responses in the Neocortex of the Rat , 1997, The Journal of Neuroscience.

[40]  C. Schroeder,et al.  How Local Is the Local Field Potential? , 2011, Neuron.

[41]  A. Loomis,et al.  POTENTIAL RHYTHMS OF THE CEREBRAL CORTEX DURING SLEEP. , 1935, Science.

[42]  J. Hutsler,et al.  Comparative analysis of cortical layering and supragranular layer enlargement in rodent carnivore and primate species , 2005, Brain Research.

[43]  W. Spencer,et al.  A STUDY OF SPONTANEOUS SPINDLE WAVES IN SENSORIMOTOR CORTEX OF CAT , 1961 .

[44]  C. Nicholson,et al.  Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. , 1975, Journal of neurophysiology.

[45]  Philipp Berens,et al.  CircStat: AMATLABToolbox for Circular Statistics , 2009, Journal of Statistical Software.

[46]  Alain Destexhe,et al.  Inhibition recruitment in prefrontal cortex during sleep spindles and gating of hippocampal inputs , 2011, Proceedings of the National Academy of Sciences.

[47]  A. Evans,et al.  Pitfalls in the dipolar model for the neocortical EEG sources. , 2012, Journal of neurophysiology.