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The laminar profile of sleep spindles in humans
Sleep spindles are functionally important NREM sleep EEG oscillations which are generated in thalamocortical, corticothalamic and possibly cortico-cortical circuits. Previous hypotheses suggested that slow and fast spindles or spindles with various spatial extent may be generated in different circui...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113200/ https://www.ncbi.nlm.nih.gov/pubmed/33249216 http://dx.doi.org/10.1016/j.neuroimage.2020.117587 |
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author | Ujma, Péter P. Hajnal, Boglárka Bódizs, Róbert Gombos, Ferenc Erőss, Loránd Wittner, Lucia Halgren, Eric Cash, Sydney S. Ulbert, István Fabó, Dániel |
author_facet | Ujma, Péter P. Hajnal, Boglárka Bódizs, Róbert Gombos, Ferenc Erőss, Loránd Wittner, Lucia Halgren, Eric Cash, Sydney S. Ulbert, István Fabó, Dániel |
author_sort | Ujma, Péter P. |
collection | PubMed |
description | Sleep spindles are functionally important NREM sleep EEG oscillations which are generated in thalamocortical, corticothalamic and possibly cortico-cortical circuits. Previous hypotheses suggested that slow and fast spindles or spindles with various spatial extent may be generated in different circuits with various cortical laminar innervation patterns. We used NREM sleep EEG data recorded from four human epileptic patients undergoing presurgical electrophysiological monitoring with subdural electrocorticographic grids (ECoG) and implanted laminar microelectrodes penetrating the cortex (IME). The position of IMEs within cortical layers was confirmed using postsurgical histological reconstructions. Many spindles detected on the IME occurred only in one layer and were absent from the ECoG, but with increasing amplitude simultaneous detection in other layers and on the ECoG became more likely. ECoG spindles were in contrast usually accompanied by IME spindles. Neither IME nor ECoG spindle cortical profiles were strongly associated with sleep spindle frequency or globality. Multiple-unit and single-unit activity during spindles, however, was heterogeneous across spindle types, but also across layers and patients. Our results indicate that extremely local spindles may occur in any cortical layer, but co-occurrence at other locations becomes likelier with increasing amplitude and the relatively large spindles detected on ECoG channels have a stereotypical laminar profile. We found no compelling evidence that different spindle types are associated with different laminar profiles, suggesting that they are generated in cortical and thalamic circuits with similar cortical innervation patterns. Local neuronal activity is a stronger candidate mechanism for driving functional differences between spindles subtypes. |
format | Online Article Text |
id | pubmed-9113200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-91132002022-05-17 The laminar profile of sleep spindles in humans Ujma, Péter P. Hajnal, Boglárka Bódizs, Róbert Gombos, Ferenc Erőss, Loránd Wittner, Lucia Halgren, Eric Cash, Sydney S. Ulbert, István Fabó, Dániel Neuroimage Article Sleep spindles are functionally important NREM sleep EEG oscillations which are generated in thalamocortical, corticothalamic and possibly cortico-cortical circuits. Previous hypotheses suggested that slow and fast spindles or spindles with various spatial extent may be generated in different circuits with various cortical laminar innervation patterns. We used NREM sleep EEG data recorded from four human epileptic patients undergoing presurgical electrophysiological monitoring with subdural electrocorticographic grids (ECoG) and implanted laminar microelectrodes penetrating the cortex (IME). The position of IMEs within cortical layers was confirmed using postsurgical histological reconstructions. Many spindles detected on the IME occurred only in one layer and were absent from the ECoG, but with increasing amplitude simultaneous detection in other layers and on the ECoG became more likely. ECoG spindles were in contrast usually accompanied by IME spindles. Neither IME nor ECoG spindle cortical profiles were strongly associated with sleep spindle frequency or globality. Multiple-unit and single-unit activity during spindles, however, was heterogeneous across spindle types, but also across layers and patients. Our results indicate that extremely local spindles may occur in any cortical layer, but co-occurrence at other locations becomes likelier with increasing amplitude and the relatively large spindles detected on ECoG channels have a stereotypical laminar profile. We found no compelling evidence that different spindle types are associated with different laminar profiles, suggesting that they are generated in cortical and thalamic circuits with similar cortical innervation patterns. Local neuronal activity is a stronger candidate mechanism for driving functional differences between spindles subtypes. 2021-02-01 2020-11-27 /pmc/articles/PMC9113200/ /pubmed/33249216 http://dx.doi.org/10.1016/j.neuroimage.2020.117587 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Ujma, Péter P. Hajnal, Boglárka Bódizs, Róbert Gombos, Ferenc Erőss, Loránd Wittner, Lucia Halgren, Eric Cash, Sydney S. Ulbert, István Fabó, Dániel The laminar profile of sleep spindles in humans |
title | The laminar profile of sleep spindles in humans |
title_full | The laminar profile of sleep spindles in humans |
title_fullStr | The laminar profile of sleep spindles in humans |
title_full_unstemmed | The laminar profile of sleep spindles in humans |
title_short | The laminar profile of sleep spindles in humans |
title_sort | laminar profile of sleep spindles in humans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113200/ https://www.ncbi.nlm.nih.gov/pubmed/33249216 http://dx.doi.org/10.1016/j.neuroimage.2020.117587 |
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