Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke
In recent years, neurorehabilitation has been actively used to treat motor paralysis after stroke. However, the impacts of rehabilitation on neural networks in the brain remain largely unknown. Therefore, we investigated changes in structural neural networks after rehabilitation therapy in patients...
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| Format: | Article |
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MDPI AG
2024-02-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/14/3/197 |
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| author | Ikuo Kimura Atsushi Senoo Masahiro Abo |
| author_facet | Ikuo Kimura Atsushi Senoo Masahiro Abo |
| author_sort | Ikuo Kimura |
| collection | DOAJ |
| description | In recent years, neurorehabilitation has been actively used to treat motor paralysis after stroke. However, the impacts of rehabilitation on neural networks in the brain remain largely unknown. Therefore, we investigated changes in structural neural networks after rehabilitation therapy in patients who received a combination of low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) and intensive occupational therapy (intensive-OT) as neurorehabilitation. Fugl-Meyer assessment (FMA) for upper extremity (FMA-UE) and Action Research Arm Test (ARAT), both of which reflected upper limb motor function, were conducted before and after rehabilitation therapy. At the same time, diffusion tensor imaging (DTI) and three-dimensional T1-weighted imaging (3D T1WI) were performed. After analyzing the structural connectome based on DTI data, measures related to connectivity in neural networks were calculated using graph theory. Rehabilitation therapy prompted a significant increase in connectivity with the isthmus of the cingulate gyrus in the ipsilesional hemisphere (<i>p</i> < 0.05) in patients with left-sided paralysis, as well as a significant decrease in connectivity with the ipsilesional postcentral gyrus (<i>p</i> < 0.05). These results indicate that LF-rTMS combined with intensive-OT may facilitate motor function recovery by enhancing the functional roles of networks in motor-related areas of the ipsilesional cerebral hemisphere. |
| first_indexed | 2024-04-24T18:28:58Z |
| format | Article |
| id | doaj.art-4e6bb9d21aab4ca1b8d4c40c94a08913 |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-04-24T18:28:58Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-4e6bb9d21aab4ca1b8d4c40c94a089132024-03-27T13:28:37ZengMDPI AGBrain Sciences2076-34252024-02-0114319710.3390/brainsci14030197Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after StrokeIkuo Kimura0Atsushi Senoo1Masahiro Abo2Department of Rehabilitation Medicine, Izumi Memorial Hospital, 1-3-7 Motoki, Adachi-ku, Tokyo 123-0853, JapanDepartment of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-ogu, Arakawa-ku, Tokyo 116-8551, JapanDepartment of Rehabilitation Medicine, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo 105-8461, JapanIn recent years, neurorehabilitation has been actively used to treat motor paralysis after stroke. However, the impacts of rehabilitation on neural networks in the brain remain largely unknown. Therefore, we investigated changes in structural neural networks after rehabilitation therapy in patients who received a combination of low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) and intensive occupational therapy (intensive-OT) as neurorehabilitation. Fugl-Meyer assessment (FMA) for upper extremity (FMA-UE) and Action Research Arm Test (ARAT), both of which reflected upper limb motor function, were conducted before and after rehabilitation therapy. At the same time, diffusion tensor imaging (DTI) and three-dimensional T1-weighted imaging (3D T1WI) were performed. After analyzing the structural connectome based on DTI data, measures related to connectivity in neural networks were calculated using graph theory. Rehabilitation therapy prompted a significant increase in connectivity with the isthmus of the cingulate gyrus in the ipsilesional hemisphere (<i>p</i> < 0.05) in patients with left-sided paralysis, as well as a significant decrease in connectivity with the ipsilesional postcentral gyrus (<i>p</i> < 0.05). These results indicate that LF-rTMS combined with intensive-OT may facilitate motor function recovery by enhancing the functional roles of networks in motor-related areas of the ipsilesional cerebral hemisphere.https://www.mdpi.com/2076-3425/14/3/197strokeneurorehabilitationrepetitive transcranial magnetic stimulationrTMSdiffusion tensor imagingDTI |
| spellingShingle | Ikuo Kimura Atsushi Senoo Masahiro Abo Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke Brain Sciences stroke neurorehabilitation repetitive transcranial magnetic stimulation rTMS diffusion tensor imaging DTI |
| title | Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke |
| title_full | Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke |
| title_fullStr | Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke |
| title_full_unstemmed | Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke |
| title_short | Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke |
| title_sort | changes in structural neural networks in the recovery process of motor paralysis after stroke |
| topic | stroke neurorehabilitation repetitive transcranial magnetic stimulation rTMS diffusion tensor imaging DTI |
| url | https://www.mdpi.com/2076-3425/14/3/197 |
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