Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus
Tinnitus is associated with abnormal functional connectivity of multiple regions of the brain. However, previous analytic methods have disregarded information on the direction of functional connectivity, leading to only a moderate efficacy of pretreatment planning. We hypothesized that the pattern o...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/10036017/ |
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| author | Han Lv Jinduo Liu Qian Chen Zuozhen Zhang Zhaodi Wang Shusheng Gong Junzhong Ji Zhenchang Wang |
| author_facet | Han Lv Jinduo Liu Qian Chen Zuozhen Zhang Zhaodi Wang Shusheng Gong Junzhong Ji Zhenchang Wang |
| author_sort | Han Lv |
| collection | DOAJ |
| description | Tinnitus is associated with abnormal functional connectivity of multiple regions of the brain. However, previous analytic methods have disregarded information on the direction of functional connectivity, leading to only a moderate efficacy of pretreatment planning. We hypothesized that the pattern of directional functional connectivity can provide key information on treatment outcomes. Sixty-four participants were enrolled in this study: eighteen patients with tinnitus were categorized into the effective group, twenty-two patients into the ineffective group, and twenty-four healthy participants into the healthy control group. We acquired resting-state functional magnetic resonance images prior to sound therapy and constructed an effective connectivity network of the three groups using an artificial bee colony algorithm and transfer entropy. The key feature of patients with tinnitus was the significantly increased signal output of the sensory network, including the auditory, visual, and somatosensory networks, and parts of the motor network. This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. The activated gating function of the thalamus is one of the key factors for a good prognosis in tinnitus treatment. We developed a novel method for analyzing effective connectivity, facilitating an understanding of the tinnitus mechanism and treatment outcome expectation based on the direction of information flow. |
| format | Article |
| id | doaj-art-92c4c571dc494cdcaa144599447b5756 |
| institution | DOAJ |
| issn | 1534-4320 1558-0210 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj-art-92c4c571dc494cdcaa144599447b57562025-08-20T03:05:29ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1534-43201558-02102023-01-01311158116610.1109/TNSRE.2023.324194110036017Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With TinnitusHan Lv0https://orcid.org/0000-0001-9559-4777Jinduo Liu1https://orcid.org/0000-0002-6264-0471Qian Chen2https://orcid.org/0000-0001-5210-9647Zuozhen Zhang3Zhaodi Wang4Shusheng Gong5Junzhong Ji6https://orcid.org/0000-0001-6951-741XZhenchang Wang7https://orcid.org/0000-0001-8190-6469Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaBeijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer, Science and Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, ChinaDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaBeijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer, Science and Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, ChinaDepartment of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaDepartment of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaBeijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer, Science and Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, ChinaDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaTinnitus is associated with abnormal functional connectivity of multiple regions of the brain. However, previous analytic methods have disregarded information on the direction of functional connectivity, leading to only a moderate efficacy of pretreatment planning. We hypothesized that the pattern of directional functional connectivity can provide key information on treatment outcomes. Sixty-four participants were enrolled in this study: eighteen patients with tinnitus were categorized into the effective group, twenty-two patients into the ineffective group, and twenty-four healthy participants into the healthy control group. We acquired resting-state functional magnetic resonance images prior to sound therapy and constructed an effective connectivity network of the three groups using an artificial bee colony algorithm and transfer entropy. The key feature of patients with tinnitus was the significantly increased signal output of the sensory network, including the auditory, visual, and somatosensory networks, and parts of the motor network. This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. The activated gating function of the thalamus is one of the key factors for a good prognosis in tinnitus treatment. We developed a novel method for analyzing effective connectivity, facilitating an understanding of the tinnitus mechanism and treatment outcome expectation based on the direction of information flow.https://ieeexplore.ieee.org/document/10036017/Tinnitussound therapyfMRIbrain networkeffective connectivity |
| spellingShingle | Han Lv Jinduo Liu Qian Chen Zuozhen Zhang Zhaodi Wang Shusheng Gong Junzhong Ji Zhenchang Wang Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus IEEE Transactions on Neural Systems and Rehabilitation Engineering Tinnitus sound therapy fMRI brain network effective connectivity |
| title | Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus |
| title_full | Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus |
| title_fullStr | Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus |
| title_full_unstemmed | Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus |
| title_short | Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus |
| title_sort | brain effective connectivity analysis facilitates the treatment outcome expectation of sound therapy in patients with tinnitus |
| topic | Tinnitus sound therapy fMRI brain network effective connectivity |
| url | https://ieeexplore.ieee.org/document/10036017/ |
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