Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.7554/elife.76506
Volition – the sense of control or agency over one’s voluntary actions – is widely recognized as the basis of both human subjective experience and natural behavior in nonhuman animals. Several human studies have found peaks in neural activity preceding voluntary actions, for example the readiness potential (RP), and some have shown upcoming actions could be decoded even before awareness. Others propose that random processes underlie and explain pre-movement neural activity. Here, we seek to address these issues by evaluating whether pre-movement neural activity in mice contains structure beyond that present in random neural activity. Implementing a self-initiated water-rewarded lever-pull paradigm in mice while recording widefield [Ca++] neural activity we find that cortical activity changes in variance seconds prior to movement and that upcoming lever pulls could be predicted between 3 and 5 s (or more in some cases) prior to movement. We found inhibition of motor cortex starting at approximately 5 s prior to lever pulls and activation of motor cortex starting at approximately 2 s prior to a random unrewarded left limb movement. We show that mice, like humans, are biased toward commencing self-initiated actions during specific phases of neural activity but that the pre-movement neural code changes over time in some mice and is widely distributed as behavior prediction improved when using all vs. single cortical areas. These findings support the presence of structured multi-second neural dynamics preceding self-initiated action beyond that expected from random processes. Our results also suggest that neural mechanisms underlying self-initiated action could be preserved between mice and humans.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.76506
- OA Status
- gold
- Cited By
- 20
- References
- 79
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4308061498
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4308061498Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7554/elife.76506Digital Object Identifier
- Title
-
Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-03Full publication date if available
- Authors
-
Catalin Mitelut, Yongxu Zhang, Y Sekino, Jamie D. Boyd, Federico Bollanos, Nicholas V. Swindale, Gergely Silasi, Shreya Saxena, Timothy H. MurphyList of authors in order
- Landing page
-
https://doi.org/10.7554/elife.76506Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.7554/elife.76506Direct OA link when available
- Concepts
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Volition (linguistics), Lever, Neuroscience, Neural activity, Sense of agency, Psychology, Movement (music), Neural correlates of consciousness, Voluntary action, Cortex (anatomy), Action (physics), Dynamics (music), Motor cortex, Premotor cortex, Brain activity and meditation, Computer science, Electroencephalography, Cognition, Biology, Perception, Physics, Pedagogy, Linguistics, Acoustics, Dorsum, Anatomy, Stimulation, Quantum mechanics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
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2025: 1, 2024: 9, 2023: 8, 2022: 2Per-year citation counts (last 5 years)
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79Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.water-rewarded | 98 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 9 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/6 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Clean water and sanitation |
| citation_normalized_percentile.value | 0.89956243 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |