Unsupervised detection of cell ensembles in rats' primary motor cortex during online and offline processing

dc.contributor.authorNazari Robati, Peyman
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorTatsuno, Masami
dc.date.accessioned2024-02-16T16:21:43Z
dc.date.available2024-02-16T16:21:43Z
dc.date.issued2023
dc.degree.levelMasters
dc.description.abstractMotor actions engage intricate neural processes, spanning active learning phases and crucial offline periods, notably during sleep. Online learning involves diverse neural dynamics, while sleep is known for its role in skill consolidation. While numerous studies have contributed to our understanding of information processing during online and offline learning periods, these investigations have often focused on specific learning phases, leaving the intricate relationships between diverse online learning neural activities and sleep processing relatively unexplored. Here, we embarked on a comprehensive analysis aimed at unraveling the interplay between primary motor cortex (M1) neural activity during reach-to-grasp skill learning and sleep, employing an unsupervised framework. During online training, our findings uncovered four neural dynamics related to the motor execution, with compelling evidence of their replay during post-training sleep, both in Rapid Eye Movement and Slow-Wave Sleep (SWS). Moreover, our data revealed that all cell ensembles, irrespective of their dynamics during the task, exhibited substantial reactivation during spindles coupled with slow-oscillations in SWS. Further exploration on the cortico-hippocampal communication led us to investigate the activation patterns of M1 cell ensembles during hippocampal sharp-wave ripples. Our results demonstrated the dynamic suppression and enhancement modulation of M1 cell ensembles during SWS-ripples across learning days suggesting complex cortico-hippocampal dialogues associated with sensorimotor learning task. We thus contributed to understand the extensive details of neural mechanisms underlying motor learning tasks during online and offline processing periods.
dc.identifier.urihttps://hdl.handle.net/10133/6695
dc.language.isoen
dc.proquest.subject0317
dc.proquestyesYes
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Neuroscience
dc.publisher.departmentDepartment of Neuroscience
dc.publisher.facultyArts and Science
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)
dc.subjectmemory reactivation
dc.subjectmotor learning
dc.subjectsleep
dc.subjectsharp-wave ripples
dc.subject.lcshMotor learning--Research
dc.subject.lcshSleep--Research
dc.subject.lcshMemory--Physiological aspects
dc.subject.lcshMemory consolidation--Research
dc.subject.lcshRats as laboratory animals
dc.subject.lcshMotor cortex--Research
dc.subject.lcshSensorimotor integration
dc.subject.lcshSlow wave sleep
dc.subject.lcshHippocampus (Brain)--Research
dc.subject.lcshCerebral cortex--Research
dc.subject.lcshDissertations, Academic
dc.titleUnsupervised detection of cell ensembles in rats' primary motor cortex during online and offline processing
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
NAZARIROBATI_PEYMAN_MSC_2023.pdf
Size:
2.45 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.25 KB
Format:
Item-specific license agreed upon to submission
Description: