Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training
BackgroundChronic insomnia disorder (CID) is a highly prevalent sleep disorder, which influences people's daily life and is even life threatening. However, whether the resting-state regional homogeneity (ReHo) of disrupted brain regions in CID can be reshaped to normal after treatment remains u...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.863056/full |
| _version_ | 1811238168420155392 |
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| author | Zhonglin Li Jiao Liu Jiao Liu Bairu Chen Xiaoling Wu Zhi Zou Hui Gao Caiyun Wang Jing Zhou Fei Qi Miao Zhang Junya He Xin Qi Fengshan Yan Shewei Dou Li Tong Hongju Zhang Xingmin Han Xingmin Han Yongli Li |
| author_facet | Zhonglin Li Jiao Liu Jiao Liu Bairu Chen Xiaoling Wu Zhi Zou Hui Gao Caiyun Wang Jing Zhou Fei Qi Miao Zhang Junya He Xin Qi Fengshan Yan Shewei Dou Li Tong Hongju Zhang Xingmin Han Xingmin Han Yongli Li |
| author_sort | Zhonglin Li |
| collection | DOAJ |
| description | BackgroundChronic insomnia disorder (CID) is a highly prevalent sleep disorder, which influences people's daily life and is even life threatening. However, whether the resting-state regional homogeneity (ReHo) of disrupted brain regions in CID can be reshaped to normal after treatment remains unclear.MethodsA novel intervention real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) was used to train 28 CID patients to regulate the activity of the left amygdala for three sessions in 6 weeks. The ReHo methodology was adopted to explore its role on resting-state fMRI data, which were collected before and after training. Moreover, the relationships between changes of clinical variables and ReHo value of altered regions were determined.ResultsResults showed that the bilateral dorsal medial pre-frontal cortex, supplementary motor area (SMA), and left dorsal lateral pre-frontal cortex had decreased ReHo values, whereas the bilateral cerebellum anterior lobe (CAL) had increased ReHo values after training. Some clinical scores markedly decreased, including Pittsburgh Sleep Quality Index, Insomnia Severity Index, Beck Depression Inventory, and Hamilton Anxiety Scale (HAMA). Additionally, the ReHo values of the left CAL were positively correlated with the change in the Hamilton depression scale score, and a remarkable positive correlation was found between the ReHo values of the right SMA and the HAMA score.ConclusionOur study provided an objective evidence that amygdala-based rtfMRI-NF training could reshape abnormal ReHo and improve sleep in patients with CID. The improved ReHo in CID provides insights into the neurobiological mechanism for the effectiveness of this intervention. However, larger double-blinded sham-controlled trials are needed to confirm our results from this initial study. |
| first_indexed | 2024-04-12T12:37:05Z |
| format | Article |
| id | doaj.art-3b45d606b899466fbbb12eb261f8f906 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-12T12:37:05Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-3b45d606b899466fbbb12eb261f8f9062022-12-22T03:32:52ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-06-011310.3389/fpsyt.2022.863056863056Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback TrainingZhonglin Li0Jiao Liu1Jiao Liu2Bairu Chen3Xiaoling Wu4Zhi Zou5Hui Gao6Caiyun Wang7Jing Zhou8Fei Qi9Miao Zhang10Junya He11Xin Qi12Fengshan Yan13Shewei Dou14Li Tong15Hongju Zhang16Xingmin Han17Xingmin Han18Yongli Li19Department of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Nuclear Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Molecular Imaging, Zhengzhou, ChinaDepartment of Medical Imaging, Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Nuclear Medicine, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaHealth Management Center, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, ChinaDepartment of Neurology, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Nuclear Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Molecular Imaging, Zhengzhou, ChinaHealth Management Center, Henan Provincial People's Hospital and People's Hospital of Zhengzhou University, Zhengzhou, ChinaBackgroundChronic insomnia disorder (CID) is a highly prevalent sleep disorder, which influences people's daily life and is even life threatening. However, whether the resting-state regional homogeneity (ReHo) of disrupted brain regions in CID can be reshaped to normal after treatment remains unclear.MethodsA novel intervention real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) was used to train 28 CID patients to regulate the activity of the left amygdala for three sessions in 6 weeks. The ReHo methodology was adopted to explore its role on resting-state fMRI data, which were collected before and after training. Moreover, the relationships between changes of clinical variables and ReHo value of altered regions were determined.ResultsResults showed that the bilateral dorsal medial pre-frontal cortex, supplementary motor area (SMA), and left dorsal lateral pre-frontal cortex had decreased ReHo values, whereas the bilateral cerebellum anterior lobe (CAL) had increased ReHo values after training. Some clinical scores markedly decreased, including Pittsburgh Sleep Quality Index, Insomnia Severity Index, Beck Depression Inventory, and Hamilton Anxiety Scale (HAMA). Additionally, the ReHo values of the left CAL were positively correlated with the change in the Hamilton depression scale score, and a remarkable positive correlation was found between the ReHo values of the right SMA and the HAMA score.ConclusionOur study provided an objective evidence that amygdala-based rtfMRI-NF training could reshape abnormal ReHo and improve sleep in patients with CID. The improved ReHo in CID provides insights into the neurobiological mechanism for the effectiveness of this intervention. However, larger double-blinded sham-controlled trials are needed to confirm our results from this initial study.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.863056/fullchronic insomnia disorderregional homogeneityreal-timefMRIneurofeedbackamygdala |
| spellingShingle | Zhonglin Li Jiao Liu Jiao Liu Bairu Chen Xiaoling Wu Zhi Zou Hui Gao Caiyun Wang Jing Zhou Fei Qi Miao Zhang Junya He Xin Qi Fengshan Yan Shewei Dou Li Tong Hongju Zhang Xingmin Han Xingmin Han Yongli Li Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training Frontiers in Psychiatry chronic insomnia disorder regional homogeneity real-time fMRI neurofeedback amygdala |
| title | Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training |
| title_full | Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training |
| title_fullStr | Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training |
| title_full_unstemmed | Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training |
| title_short | Improved Regional Homogeneity in Chronic Insomnia Disorder After Amygdala-Based Real-Time fMRI Neurofeedback Training |
| title_sort | improved regional homogeneity in chronic insomnia disorder after amygdala based real time fmri neurofeedback training |
| topic | chronic insomnia disorder regional homogeneity real-time fMRI neurofeedback amygdala |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.863056/full |
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