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Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model
How neuronal activity of motor cortex is related to movement is a central topic in motor neuroscience. Motor-cortical single neurons are more closely related to hand movement velocity than speed, that is, the magnitude of the (directional) velocity vector. Recently, there is also increasing interest...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869816/ https://www.ncbi.nlm.nih.gov/pubmed/26984895 http://dx.doi.org/10.1093/cercor/bhw033 |
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author | Hammer, Jiří Pistohl, Tobias Fischer, Jörg Kršek, Pavel Tomášek, Martin Marusič, Petr Schulze-Bonhage, Andreas Aertsen, Ad Ball, Tonio |
author_facet | Hammer, Jiří Pistohl, Tobias Fischer, Jörg Kršek, Pavel Tomášek, Martin Marusič, Petr Schulze-Bonhage, Andreas Aertsen, Ad Ball, Tonio |
author_sort | Hammer, Jiří |
collection | PubMed |
description | How neuronal activity of motor cortex is related to movement is a central topic in motor neuroscience. Motor-cortical single neurons are more closely related to hand movement velocity than speed, that is, the magnitude of the (directional) velocity vector. Recently, there is also increasing interest in the representation of movement parameters in neuronal population activity, such as reflected in the intracranial EEG (iEEG). We show that in iEEG, contrasting to what has been previously found on the single neuron level, speed predominates over velocity. The predominant speed representation was present in nearly all iEEG signal features, up to the 600–1000 Hz range. Using a model of motor-cortical signals arising from neuronal populations with realistic single neuron tuning properties, we show how this reversal can be understood as a consequence of increasing population size. Our findings demonstrate that the information profile in large population signals may systematically differ from the single neuron level, a principle that may be helpful in the interpretation of neuronal population signals in general, including, for example, EEG and functional magnetic resonance imaging. Taking advantage of the robust speed population signal may help in developing brain–machine interfaces exploiting population signals. |
format | Online Article Text |
id | pubmed-4869816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48698162016-05-26 Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model Hammer, Jiří Pistohl, Tobias Fischer, Jörg Kršek, Pavel Tomášek, Martin Marusič, Petr Schulze-Bonhage, Andreas Aertsen, Ad Ball, Tonio Cereb Cortex Articles How neuronal activity of motor cortex is related to movement is a central topic in motor neuroscience. Motor-cortical single neurons are more closely related to hand movement velocity than speed, that is, the magnitude of the (directional) velocity vector. Recently, there is also increasing interest in the representation of movement parameters in neuronal population activity, such as reflected in the intracranial EEG (iEEG). We show that in iEEG, contrasting to what has been previously found on the single neuron level, speed predominates over velocity. The predominant speed representation was present in nearly all iEEG signal features, up to the 600–1000 Hz range. Using a model of motor-cortical signals arising from neuronal populations with realistic single neuron tuning properties, we show how this reversal can be understood as a consequence of increasing population size. Our findings demonstrate that the information profile in large population signals may systematically differ from the single neuron level, a principle that may be helpful in the interpretation of neuronal population signals in general, including, for example, EEG and functional magnetic resonance imaging. Taking advantage of the robust speed population signal may help in developing brain–machine interfaces exploiting population signals. Oxford University Press 2016-06 2016-03-16 /pmc/articles/PMC4869816/ /pubmed/26984895 http://dx.doi.org/10.1093/cercor/bhw033 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Articles Hammer, Jiří Pistohl, Tobias Fischer, Jörg Kršek, Pavel Tomášek, Martin Marusič, Petr Schulze-Bonhage, Andreas Aertsen, Ad Ball, Tonio Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model |
title | Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model |
title_full | Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model |
title_fullStr | Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model |
title_full_unstemmed | Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model |
title_short | Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model |
title_sort | predominance of movement speed over direction in neuronal population signals of motor cortex: intracranial eeg data and a simple explanatory model |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869816/ https://www.ncbi.nlm.nih.gov/pubmed/26984895 http://dx.doi.org/10.1093/cercor/bhw033 |
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