{"title":"The phase of slow wave oscillations couples with high gamma power in human electrocorticography during performed and imagined repetitive movements.","authors":"Eva Calvo Merino, Qiang Sun, Marc M Van Hulle","doi":"10.1093/cercor/bhaf226","DOIUrl":null,"url":null,"abstract":"<p><p>High Gamma Band (HGB) and Slow Wave Oscillations (SWOs) have been identified as significant features in movement neurophysiology. HGB reflects local neuronal activity, while SWOs inform on the temporal characteristics of movement, especially during repetitive tasks. However, to date, they have mostly been studied separately, leaving details on their interaction largely unknown. Here, we looked at Phase Amplitude Coupling (PAC) to assess interactions between SWO phase and HGB power. We use a publicly-available electrocorticography (ECoG) dataset recorded during repetitive motor execution (ME) and motor imagery (MI) of hand and tongue movements. We found channels with significant SWO-HGB PAC for all subjects and tasks, distributed across multiple brain regions. In the sensorimotor cortex PAC occurred at specific coupling phases and was primarily observed during ME, while frontal and temporal regions exhibited similar PAC levels across ME and MI but lacked distinct preferred coupling phases. When training decoders for movement detection, PAC underperformed compared to SWOs or HGB; however, it showed a strong correlation with accuracy when single-channel SWOs were used as decoding feature, highlighting its potential for channel selection. Weaker correlations were found when PAC was compared to task-related HGB power increases, suggesting that these represent distinct neural features.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 8","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral cortex","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/cercor/bhaf226","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
High Gamma Band (HGB) and Slow Wave Oscillations (SWOs) have been identified as significant features in movement neurophysiology. HGB reflects local neuronal activity, while SWOs inform on the temporal characteristics of movement, especially during repetitive tasks. However, to date, they have mostly been studied separately, leaving details on their interaction largely unknown. Here, we looked at Phase Amplitude Coupling (PAC) to assess interactions between SWO phase and HGB power. We use a publicly-available electrocorticography (ECoG) dataset recorded during repetitive motor execution (ME) and motor imagery (MI) of hand and tongue movements. We found channels with significant SWO-HGB PAC for all subjects and tasks, distributed across multiple brain regions. In the sensorimotor cortex PAC occurred at specific coupling phases and was primarily observed during ME, while frontal and temporal regions exhibited similar PAC levels across ME and MI but lacked distinct preferred coupling phases. When training decoders for movement detection, PAC underperformed compared to SWOs or HGB; however, it showed a strong correlation with accuracy when single-channel SWOs were used as decoding feature, highlighting its potential for channel selection. Weaker correlations were found when PAC was compared to task-related HGB power increases, suggesting that these represent distinct neural features.
期刊介绍:
Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included.
The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.