Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke
Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural conn...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/12/5398 |
| _version_ | 1797592710037635072 |
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| author | Adam Baker Christian Schranz Na Jin Seo |
| author_facet | Adam Baker Christian Schranz Na Jin Seo |
| author_sort | Adam Baker |
| collection | DOAJ |
| description | Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural connectivity and specific aspects of sensorimotor control have seldom been explored. Understanding these relationships is important for developing personalized rehabilitation strategies to improve individual patients’ specific sensorimotor deficits and, thus, rehabilitation outcomes. Here, we investigated the hypothesis that specific aspects of sensorimotor control will be associated with distinct neural connectivity in chronic stroke survivors. Twelve chronic stroke survivors performed a paretic hand grip-and-relax task while EEG was collected. Four aspects of hand sensorimotor grip control were extracted, including reaction time, relaxation time, force magnitude control, and force direction control. EEG source connectivity in the bilateral sensorimotor regions was calculated in α and β frequency bands during grip preparation and execution. Each of the four hand grip measures was significantly associated with a distinct connectivity measure. These results support further investigations into functional neural connectivity signatures that explain various aspects of sensorimotor control, to assist the development of personalized rehabilitation that targets the specific brain networks responsible for the individuals’ distinct sensorimotor deficits. |
| first_indexed | 2024-03-11T01:57:59Z |
| format | Article |
| id | doaj.art-6502acd71eb74a31843024f9452d7717 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T01:57:59Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6502acd71eb74a31843024f9452d77172023-11-18T12:30:28ZengMDPI AGSensors1424-82202023-06-012312539810.3390/s23125398Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic StrokeAdam Baker0Christian Schranz1Na Jin Seo2Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., Charleston, SC 29425, USADepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., Charleston, SC 29425, USADepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., Charleston, SC 29425, USAHand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural connectivity and specific aspects of sensorimotor control have seldom been explored. Understanding these relationships is important for developing personalized rehabilitation strategies to improve individual patients’ specific sensorimotor deficits and, thus, rehabilitation outcomes. Here, we investigated the hypothesis that specific aspects of sensorimotor control will be associated with distinct neural connectivity in chronic stroke survivors. Twelve chronic stroke survivors performed a paretic hand grip-and-relax task while EEG was collected. Four aspects of hand sensorimotor grip control were extracted, including reaction time, relaxation time, force magnitude control, and force direction control. EEG source connectivity in the bilateral sensorimotor regions was calculated in α and β frequency bands during grip preparation and execution. Each of the four hand grip measures was significantly associated with a distinct connectivity measure. These results support further investigations into functional neural connectivity signatures that explain various aspects of sensorimotor control, to assist the development of personalized rehabilitation that targets the specific brain networks responsible for the individuals’ distinct sensorimotor deficits.https://www.mdpi.com/1424-8220/23/12/5398strokerehabilitationupper extremityEEG connectivitybiomechanicsprecision medicine |
| spellingShingle | Adam Baker Christian Schranz Na Jin Seo Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke Sensors stroke rehabilitation upper extremity EEG connectivity biomechanics precision medicine |
| title | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
| title_full | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
| title_fullStr | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
| title_full_unstemmed | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
| title_short | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
| title_sort | associating functional neural connectivity and specific aspects of sensorimotor control in chronic stroke |
| topic | stroke rehabilitation upper extremity EEG connectivity biomechanics precision medicine |
| url | https://www.mdpi.com/1424-8220/23/12/5398 |
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