Neural oscillations organize cortico-thalamic activity, and their role in memory, attention and sleep are a central focus of systems neuroscience. Sleep spindles are among the most prominent oscillations, and have been studied at many levels of investigation, from the biophysical level, where the low threshold calcium currents are implicated in the waxing-and-waning 11-15 Hz bursts of spikes that originate in the thalamus and recruit cortical circuits, to the systems level where the electroencephalogram (EEG) and magnetoencephalogram (MEG) measured outside the skull register largescale spatial and temporal coherence in the bursting pattern across the cortex (Destexhe and Sejnowski, 2001). Despite the wealth of physiological, anatomical and computational studies, major questions remain to be resolved: How do nearby parts of the cortex become synchronized during spindles? How are spindles propagated across the cortex? Why is there a discrepancy between the temporal patterns of spindles simultaneously observed in EEG and MEG measurements? What are the consequences of spindle activity in thalamocortical systems for cortical reorganization and memory consolidation during sleep? We propose to attack these questions with a range of experimental and modeling techniques that 1) link detailed models at the biophysical level to recordings from humans at the level of current source density analysis (CSD) recordings from depth electrodes;and 2) relate large scale reduced models of cortical circuits to EEG and MEG measurements in humans. This is the first time that all of these powerful empirical and modeling approaches have been integrated into a single, multiscale approach to understanding the origin of macroscopic field measurements outside the scalp based on the specific biophysical mechanisms occurring in neurons located in different layers of the cortex and thalamus.
The goal of these studies is to help provide a scientific basis for treatment of sleep disorders as well as promote understanding of the relationship between microscopic neuronal circuit activity and macroscopic non-invasive EEG and MEG measures.
|Mak-McCully, Rachel A; Rolland, Matthieu; Sargsyan, Anna et al. (2017) Coordination of cortical and thalamic activity during non-REM sleep in humans. Nat Commun 8:15499|
|Tele?czuk, Bartosz; Dehghani, Nima; Le Van Quyen, Michel et al. (2017) Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex. Sci Rep 7:40211|
|Lainscsek, Claudia; Muller, Lyle E; Sampson, Aaron L et al. (2017) Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data. Neural Comput 29:2004-2020|
|Das, Anup; Sampson, Aaron L; Lainscsek, Claudia et al. (2017) Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings. Neural Comput 29:603-642|
|Piantoni, Giovanni; Halgren, Eric; Cash, Sydney S (2017) Spatiotemporal characteristics of sleep spindles depend on cortical location. Neuroimage 146:236-245|
|Piantoni, Giovanni; Halgren, Eric; Cash, Sydney S (2016) The Contribution of Thalamocortical Core and Matrix Pathways to Sleep Spindles. Neural Plast 2016:3024342|
|Dehghani, Nima; Peyrache, Adrien; Telenczuk, Bartosz et al. (2016) Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex. Sci Rep 6:23176|
|Wei, Yina; Krishnan, Giri P; Bazhenov, Maxim (2016) Synaptic Mechanisms of Memory Consolidation during Sleep Slow Oscillations. J Neurosci 36:4231-47|
|Muller, Lyle; Piantoni, Giovanni; Koller, Dominik et al. (2016) Rotating waves during human sleep spindles organize global patterns of activity that repeat precisely through the night. Elife 5:|
|Krishnan, Giri P; Chauvette, Sylvain; Shamie, Isaac et al. (2016) Cellular and neurochemical basis of sleep stages in the thalamocortical network. Elife 5:|
Showing the most recent 10 out of 34 publications