Literature DB >> 23981852

Sleep Spindles: Where They Come From, What They Do.

Anita Lüthi1.   

Abstract

Sleep spindles are extensively studied electroencephalographic rhythms that recur periodically during non-rapid eye movement sleep and that are associated with rhythmic discharges of neurons throughout the thalamocortical system. Their occurrence thus constrains many aspects of the communication between thalamus and cortex, ranging from sensory transmission, to cortical plasticity and learning, to development and disease. I review these functional aspects in conjunction with novel findings on the cellular and molecular makeup of spindle-pacemaking circuits. A highlight in the search of roles for sleep spindles is the repeated finding that spindles correlate with memory consolidation in humans and animals. By illustrating that spindles are at the forefront understanding on how the brain might benefit from sleep rhythms, I hope to stimulate further experimentation.
© The Author(s) 2013.

Entities:  

Keywords:  CaV3 channel; EEG; NREM sleep; burst; cyclic AMP; inhibition; learning; rhythm; sensory transmission; voltage-gated calcium channel

Mesh:

Year:  2013        PMID: 23981852     DOI: 10.1177/1073858413500854

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  65 in total

1.  A Dual Role for Sleep Spindles in Sleep-Dependent Memory Consolidation?

Authors:  Scott A Cairney; Jennifer E Ashton; Anastasia A Roshchupkina; Justyna M Sobczak
Journal:  J Neurosci       Date:  2015-09-09       Impact factor: 6.167

Review 2.  Neuromodulation of sleep rhythms in schizophrenia: Towards the rational design of non-invasive brain stimulation.

Authors:  Flavio Fröhlich; Caroline Lustenberger
Journal:  Schizophr Res       Date:  2020-04-27       Impact factor: 4.939

3.  The association between white matter and sleep spindles differs in young and older individuals.

Authors:  Pierre-Olivier Gaudreault; Nadia Gosselin; Marjolaine Lafortune; Samuel Deslauriers-Gauthier; Nicolas Martin; Maude Bouchard; Jonathan Dubé; Jean-Marc Lina; Julien Doyon; Julie Carrier
Journal:  Sleep       Date:  2018-09-01       Impact factor: 5.849

4.  Validation of an automated sleep spindle detection method for mouse electroencephalography.

Authors:  David S Uygun; Fumi Katsuki; Yunren Bolortuya; David D Aguilar; James T McKenna; Stephen Thankachan; Robert W McCarley; Radhika Basheer; Ritchie E Brown; Robert E Strecker; James M McNally
Journal:  Sleep       Date:  2019-02-01       Impact factor: 5.849

5.  Cortical circuit activity underlying sleep slow oscillations and spindles.

Authors:  Niels Niethard; Hong-Viet V Ngo; Ingrid Ehrlich; Jan Born
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-12       Impact factor: 11.205

6.  Large-scale structure and individual fingerprints of locally coupled sleep oscillations.

Authors:  Roy Cox; Dimitris S Mylonas; Dara S Manoach; Robert Stickgold
Journal:  Sleep       Date:  2018-12-01       Impact factor: 5.849

7.  The role of cEEG as a predictor of patient outcome and survival in patients with intraparenchymal hemorrhages.

Authors:  Mallika Purandare; Alexa N Ehlert; Henri Vaitkevicius; Barbara A Dworetzky; Jong Woo Lee
Journal:  Seizure       Date:  2018-08-15       Impact factor: 3.184

8.  Large-scale recording of thalamocortical circuits: in vivo electrophysiology with the two-dimensional electronic depth control silicon probe.

Authors:  Richárd Fiáth; Patrícia Beregszászi; Domonkos Horváth; Lucia Wittner; Arno A A Aarts; Patrick Ruther; Hercules P Neves; Hajnalka Bokor; László Acsády; István Ulbert
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

9.  Phosphocreatine Levels in the Left Thalamus Decline during Wakefulness and Increase after a Nap.

Authors:  Ali Gordji-Nejad; Andreas Matusch; Shumei Li; Tina Kroll; Simone Beer; David Elmenhorst; Andreas Bauer
Journal:  J Neurosci       Date:  2018-10-03       Impact factor: 6.167

10.  Suppression of Sleep Spindle Rhythmogenesis in Mice with Deletion of CaV3.2 and CaV3.3 T-type Ca(2+) Channels.

Authors:  Chiara Pellegrini; Sandro Lecci; Anita Lüthi; Simone Astori
Journal:  Sleep       Date:  2016-04-01       Impact factor: 5.849

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