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Chen R, Wang S, Hu Q, Kang N, Xie H, Liu M, Shan H, Long Y, Hao Y, Qin B, Su H, Zhuang Y, Li L, Li W, Sun W, Wu D, Cao W, Mai X, Chen G, Wang D, Zou Q. Exercise intervention in middle-aged and elderly individuals with insomnia improves sleep and restores connectivity in the motor network. Transl Psychiatry 2024; 14:159. [PMID: 38519470 PMCID: PMC10959941 DOI: 10.1038/s41398-024-02875-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 03/09/2024] [Accepted: 03/13/2024] [Indexed: 03/25/2024] Open
Abstract
Exercise is a potential treatment to improve sleep quality in middle-aged and elderly individuals. Understanding exercise-induced changes in functional plasticity of brain circuits that underlie improvements in sleep among middle-aged and older adults can inform treatment of sleep problems. The aim of the study is to identify the effects of a 12-week exercise program on sleep quality and brain functional connectivity in middle-aged and older adults with insomnia. The trial was registered with Chinese Clinical Trial Register (ChiCTR2000033652). We recruited 84 healthy sleepers and 85 individuals with insomnia. Participants with insomnia were assigned to receive either a 12-week exercise intervention or were placed in a 12-week waitlist control condition. Thirty-seven middle-aged and older adults in the exercise group and 30 in the waitlist group completed both baseline and week 12 assessments. We found that middle-aged and older adults with insomnia showed significantly worse sleep quality than healthy sleepers. At the brain circuit level, insomnia patients showed decreased connectivity in the widespread motor network. After exercise intervention, self-reported sleep was increased in the exercise group (P < 0.001) compared to that in the waitlist group. We also found increased functional connectivity of the motor network with the cerebellum in the exercise group (P < 0.001). Moreover, we observed significant correlations between improvement in subjective sleep indices and connectivity changes within the motor network. We highlight exercise-induced improvement in sleep quality and functional plasticity of the aging brain.
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Affiliation(s)
- Rongrong Chen
- Department of Psychology, Renmin University of China, Beijing, China
| | - Shilei Wang
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Qinzi Hu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Ning Kang
- Institute of Population Research, Peking University, Beijing, China
| | - Haijiang Xie
- Department of Physical Education, Peking University, Beijing, China
| | - Meng Liu
- Sports Coaching College, Beijing Sports University, Beijing, China
| | - Hongyu Shan
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Yujie Long
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Yizhe Hao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Bolin Qin
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Hao Su
- The School of Sports Science, Beijing Sport University, Beijing, China
| | | | - Li Li
- Peking University Hospital, Beijing, China
| | - Weiju Li
- Peking University Hospital, Beijing, China
| | - Wei Sun
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Dong Wu
- China Wushu School, Beijing Sport University, Beijing, China
| | - Wentian Cao
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Xiaoqin Mai
- Department of Psychology, Renmin University of China, Beijing, China
| | - Gong Chen
- Institute of Population Research, Peking University, Beijing, China
| | - Dongmin Wang
- Department of Physical Education, Peking University, Beijing, China.
| | - Qihong Zou
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, China.
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Tsai CL, Chou KH, Lee PL, Liang CS, Kuo CY, Lin GY, Lin YK, Hsu YC, Ko CA, Yang FC, Lin CP. Shared alterations in hippocampal structural covariance in subjective cognitive decline and migraine. Front Aging Neurosci 2023; 15:1191991. [PMID: 37409010 PMCID: PMC10318340 DOI: 10.3389/fnagi.2023.1191991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/05/2023] [Indexed: 07/07/2023] Open
Abstract
Introduction Subjective cognitive decline (SCD) and migraine are often comorbid. Hippocampal structural abnormalities have been observed in individuals with both SCD and migraine. Given the known structural and functional heterogeneity along the long axis (anterior to posterior) of the hippocampus, we aimed to identify altered patterns of structural covariance within hippocampal subdivisions associated with SCD and migraine comorbidities. Methods A seed-based structural covariance network analysis was applied to examine large-scale anatomical network changes of the anterior and posterior hippocampus in individuals with SCD, migraine and healthy controls. Conjunction analyses were used to identify shared network-level alterations in the hippocampal subdivisions in individuals with both SCD and migraine. Results Altered structural covariance integrity of the anterior and posterior hippocampus was observed in the temporal, frontal, occipital, cingulate, precentral, and postcentral areas in individuals with SCD and migraine compared with healthy controls. Conjunction analysis revealed that, in both SCD and migraine, altered structural covariance integrity was shared between the anterior hippocampus and inferior temporal gyri and between the posterior hippocampus and precentral gyrus. Additionally, the structural covariance integrity of the posterior hippocampus-cerebellum axis was associated with the duration of SCD. Conclusion This study highlighted the specific role of hippocampal subdivisions and specific structural covariance alterations within these subdivisions in the pathophysiology of SCD and migraine. These network-level changes in structural covariance may serve as potential imaging signatures for individuals who have both SCD and migraine.
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Affiliation(s)
- Chia-Lin Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Kun-Hsien Chou
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei City, Taiwan
| | - Pei-Lin Lee
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei City, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Chen-Yuan Kuo
- Aging and Health Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
| | - Guan-Yu Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Kai Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City, Taiwan
| | - Yi-Chih Hsu
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Chien-An Ko
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City, Taiwan
| | - Ching-Po Lin
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei City, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan
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Pu L, Zou Y, Wang Y, Lei JL, Zhao XN, Zeng X, Yan GJ. The relationship between processing speed and remodeling spatial patterns of intrinsic brain activity in the elderly with different sleep duration. Front Neurosci 2023; 17:1185078. [PMID: 37304029 PMCID: PMC10250673 DOI: 10.3389/fnins.2023.1185078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/26/2023] [Indexed: 06/13/2023] Open
Abstract
Objective Brain neuroplasticity in which sleep affects the speed of information processing in the elderly population has not been reported. Therefore, this study was conducted to explore the effects of sleep on information processing speed and its central plasticity mechanism in the elderly. Methods A total of 50 individuals aged 60 and older were enrolled in this case control study. All subjects were divided into two groups according to the sleep time: short sleep duration (< 360 min) (6 men and 19 women; mean age: 66.96 ± 4.28 years old), and non-short sleep duration (> 360 min) (13 men and 12 women). Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected, and the amplitude of low frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) were calculated for each participant. Two-sample t-tests were performed to compare the ALFF, ReHo, and DC maps between the two groups. Then, the relationships among clinical features, fMRI and cognitive function were analyzed using general linear model. Results Short sleep duration group showed significantly increased ALFF value in the bilateral middle frontal gyrus and right insula; significantly increased ReHo value in the left superior parietal gyrus, and decreased ReHo value in the right crebellum; significantly decreased DC value in the left inferior occipital gyrus, left superior parietal gyrus and right cerebellum (p < 0.05, AlphaSim correction). The ALFF value of right insula is significantly associated with symbol digit modalities test (SDMT) score (β = -0.363, p = 0.033). Conclusion Short sleep duration and processing speed are significantly associated with remodeling spatial patterns of intrinsic brain activity in the elderly.
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Affiliation(s)
- Li Pu
- The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Yao Zou
- The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Yan Wang
- The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Jia-Ling Lei
- The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Xiao-Nan Zhao
- The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Xia Zeng
- Department of Neurology, Chengdu 363 Hospital, Chengdu, China
| | - Guo-Jian Yan
- The Fourth People’s Hospital of Chengdu, Chengdu, China
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Liu K, Cheng J, Cao Y, Chen K, Li Y, Zhang X, Dong L, Wang Z, Liu X. Abnormally Increased Effective Connectivity of the Periaqueductal Gray in Migraine Without Aura Patients. Clin J Pain 2023; 39:175-179. [PMID: 36943161 DOI: 10.1097/ajp.0000000000001099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/17/2023] [Indexed: 03/23/2023]
Abstract
OBJECTIVES The periaqueductal gray (PAG) is a key region in the descending pain modulatory system. We applied a Granger causality analysis-based approach to examine resting-state effective connectivity of the bilateral PAG regions in migraine patients without aura (MwoA). MATERIALS AND METHODS Resting-state functional magnetic resonance imaging data were obtained from 28 MwoA patients and 17 healthy controls. The effective connectivity of the bilateral PAG was characterized using a voxel-wised Granger causality analysis method. The resulting effective connectivity measurements were assessed for correlations with other clinical features. RESULTS Compared with the healthy controls, MwoA patients showed increased effective connectivity from the left PAG to the left anterior cingulate gyrus and right postcentral gyrus. Meanwhile, MwoA patients also showed increased effective connectivity from the right PAG to the left precentral gyrus and increased effective connectivity from the left caudate and right middle occipital gyrus to the right PAG. DISCUSSION Abnormally increased effective connectivity between PAG and limbic system, primary sensorimotor cortex, and visual cortex may play a key role in neuropathological features, perception, and affection of MwoA. The current study provides further insights into the complex scenario of MwoA mechanisms.
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Affiliation(s)
- Kun Liu
- Department of Radiology of the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang
| | - Jinming Cheng
- Department of Neurology of the Hebei General Hospital
| | - Yungang Cao
- Department of Neurology of the Second Affiliated hospital, Hebei Medical University, Shijiazhuang
| | - Keyang Chen
- Department of Neurology of the Hebei General Hospital
| | - Yan Li
- Department of Neurology of the Hebei General Hospital
| | - Xi Zhang
- Department of Neurology of Xingtai People's Hospital, Xingtai, Hebei, China
| | - LiPeng Dong
- Department of Neurology of the Hebei General Hospital
| | - Zhihong Wang
- Department of Neurology of the Second Affiliated hospital, Hebei Medical University, Shijiazhuang
| | - Xiaozheng Liu
- Department of Radiology of the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang
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Zhang X, Zhou J, Guo M, Cheng S, Chen Y, Jiang N, Li X, Hu S, Tian Z, Li Z, Zeng F. A systematic review and meta-analysis of voxel-based morphometric studies of migraine. J Neurol 2023; 270:152-170. [PMID: 36098838 DOI: 10.1007/s00415-022-11363-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVES To comprehensively summarize and meta-analyze the concurrence across voxel-based morphometric (VBM) neuroimaging studies of migraine. METHODS Neuroimaging studies published from origin to August 1, 2021 were searched in six databases including PubMed, Web of Science, Excerpta Medica Database (EMBASE), China National Knowledge Infrastructure (CNKI), Wanfang Database, and Chongqing VIP. Study selection, quality assessment, and data extraction were conducted by two independent researchers. Anisotropic effect size-signed differential mapping (AES-SDM) and activation likelihood estimation (ALE) were used to perform the meta-analysis of available studies reporting whole-brain gray matter (GM) structural data in migraine patients. Clinical variables correlation analysis and migraine subgroup analysis were also conducted. RESULTS 40 articles were included after the strict screening, containing 1616 migraine patients and 1681 matched healthy subjects (HS) in total. Using the method of AES-SDM, migraine patients showed GM increase in the bilateral amygdala, the bilateral parahippocampus, the bilateral temporal poles, the bilateral superior temporal gyri, the left hippocampus, the right superior frontal gyrus, and the left middle temporal gyrus, as well as GM decrease in the left insula, the bilateral cerebellum (hemispheric lobule IX), the right dorsal medulla, the bilateral rolandic operculum, the right middle frontal gyrus, and the right inferior parietal gyrus. Using the method of ALE, migraine patients showed GM increase in the left parahippocampus and GM decrease in the left insula. The results of correlation analysis showed that many of these brain regions were associated with migraine headache frequency and migraine disease duration. Migraine patients in different subtypes (such as migraine without aura (MwoA), migraine with aura (MwA), episodic migraine (EM), chronic migraine (CM), vestibular migraine (VM), etc.), and in different periods (in the ictal and interictal periods) presented not entirely consistent GM alterations. CONCLUSION Migraine patients have GM alterations in multiple brain regions associated with sensation, affection, cognition, and descending modulation aspects of pain. These changes might be a consequence of repeated migraine attacks. Further studies are required to determine how these GM changes can be used to diagnose, monitor disease progression, or exploit potential therapeutic interventions for migraine patients.
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Affiliation(s)
- Xinyue Zhang
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Jun Zhou
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Mengyuan Guo
- Institute College of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China
| | - Shirui Cheng
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yilin Chen
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Nannan Jiang
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xinling Li
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Shengjie Hu
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Zilei Tian
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Zhengjie Li
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. .,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
| | - Fang Zeng
- The Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. .,Acupuncture and Brain Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
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Chen ZH, Cui YL, Sun JT, Li YT, Zhang C, Zhang YM, Li ZY, Shang YX, Ni MH, Hu B, Yan LF, Wang W. The brain structure and function abnormalities of migraineurs: A systematic review and neuroimaging meta-analysis. Front Neurol 2022; 13:1022793. [PMID: 36419535 PMCID: PMC9676357 DOI: 10.3389/fneur.2022.1022793] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/18/2022] [Indexed: 07/20/2023] Open
Abstract
OBJECTIVES To quantitatively summarize the specific changes in brain structure and function in migraine patients. METHODS A literature screening of migraine was conducted from inception to Sept 1, 2022, in PubMed, Web of Science, Cochrane Library, and Medline databases using the keyword combination of "migraine and MRI." Activation likelihood estimation (ALE) was performed to assess the differentiation of functional connectivity (FC), regional homogeneity (ReHo), and gray matter volume (GMV) of migraine patients. RESULTS Eleven voxel-based morphometry (VBM) studies and 25 resting-state fMRI (rs-fMRI) studies (16 FC and 9 ReHo studies) were included in this study. ALE analysis revealed the ReHo increase in the brainstem and left thalamus, with no decreased area. Neither increased nor decreased regions were detected in FC and GMV of migraine patients. CONCLUSIONS The left thalamus and brainstem were the significantly activated regions of migraine. It is a meaningful insights into the pathophysiology of migraine. The consistent alterated brain areas of morphometrical and functional in migraine patients were far from reached based on current studies.
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Affiliation(s)
- Zhu-Hong Chen
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
- Department of Radiology, Gansu Hospital of Chinese Armed Police Force, Lanzhou, China
| | - Yu-Ling Cui
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
- Department of Radiology, The First Affiliated Hospital, Xi'an Jiatong University, Xi'an, China
| | - Jing-Ting Sun
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
- Department of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang City, China
| | - Yu-Ting Li
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Chi Zhang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Yang-Ming Zhang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Ze-Yang Li
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Yu-Xuan Shang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Min-Hua Ni
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Bo Hu
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Lin-Feng Yan
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Wen Wang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
- Department of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang City, China
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Wang M, Tutt JO, Dorricott NO, Parker KL, Russo AF, Sowers LP. Involvement of the cerebellum in migraine. Front Syst Neurosci 2022; 16:984406. [PMID: 36313527 PMCID: PMC9608746 DOI: 10.3389/fnsys.2022.984406] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/27/2022] [Indexed: 11/14/2022] Open
Abstract
Migraine is a disabling neurological disease characterized by moderate or severe headaches and accompanied by sensory abnormalities, e.g., photophobia, allodynia, and vertigo. It affects approximately 15% of people worldwide. Despite advancements in current migraine therapeutics, mechanisms underlying migraine remain elusive. Within the central nervous system, studies have hinted that the cerebellum may play an important sensory integrative role in migraine. More specifically, the cerebellum has been proposed to modulate pain processing, and imaging studies have revealed cerebellar alterations in migraine patients. This review aims to summarize the clinical and preclinical studies that link the cerebellum to migraine. We will first discuss cerebellar roles in pain modulation, including cerebellar neuronal connections with pain-related brain regions. Next, we will review cerebellar symptoms and cerebellar imaging data in migraine patients. Lastly, we will highlight the possible roles of the neuropeptide calcitonin gene-related peptide (CGRP) in migraine symptoms, including preclinical cerebellar studies in animal models of migraine.
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Affiliation(s)
- Mengya Wang
- Department of Neuroscience and Pharmacology, University of Iowa, Iowa City, IA, United States
| | - Joseph O. Tutt
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | | | - Krystal L. Parker
- Department of Psychiatry, University of Iowa, Iowa City, IA, United States
| | - Andrew F. Russo
- Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA, United States,Department of Neurology, University of Iowa, Iowa City, IA, United States,Center for the Prevention and Treatment of Visual Loss, Veterans Administration Health Center, Iowa City, IA, United States
| | - Levi P. Sowers
- Center for the Prevention and Treatment of Visual Loss, Veterans Administration Health Center, Iowa City, IA, United States,Department of Pediatrics, University of Iowa, Iowa City, IA, United States,*Correspondence: Levi P. Sowers
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Lee PL, Kuo CY, Wang PN, Chen LK, Lin CP, Chou KH, Chung CP. Regional rather than global brain age mediates cognitive function in cerebral small vessel disease. Brain Commun 2022; 4:fcac233. [PMID: 36196084 PMCID: PMC9525017 DOI: 10.1093/braincomms/fcac233] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 07/24/2022] [Accepted: 09/14/2022] [Indexed: 11/15/2022] Open
Abstract
The factors and mechanisms underlying the heterogeneous cognitive outcomes of cerebral small vessel disease are largely unknown. Brain biological age can be estimated by machine learning algorithms that use large brain MRI data sets to integrate and compute neuroimaging-derived age-related features. Predicted and chronological ages difference (brain-age gap) reflects advanced or delayed brain aging in an individual. The present study firstly reports the brain aging status of cerebral small vessel disease. In addition, we investigated whether global or certain regional brain age could mediate the cognitive functions in cerebral small vessel disease. Global and regional (400 cortical, 14 subcortical and 28 cerebellum regions of interest) brain-age prediction models were constructed using grey matter features from MRI of 1482 healthy individuals (age: 18–92 years). Predicted and chronological ages differences were obtained and then applied to non-stroke, non-demented individuals, aged ≥50 years, from another community-dwelling population (I-Lan Longitudinal Aging Study cohort). Among the 734 participants from the I-Lan Longitudinal Aging Study cohort, 124 were classified into the cerebral small vessel disease group. The cerebral small vessel disease group demonstrated significantly poorer performances in global cognitive, verbal memory and executive functions than that of non-cerebral small vessel disease group. Global brain-age gap was significantly higher in the cerebral small vessel disease (3.71 ± 7.60 years) than that in non-cerebral small vessel disease (−0.43 ± 9.47 years) group (P = 0.003, η2 = 0.012). There were 82 cerebral cortical, 3 subcortical and 4 cerebellar regions showing significantly different brain-age gap between the cerebral small vessel disease and non-cerebral small vessel disease groups. Global brain-age gap failed to mediate the relationship between cerebral small vessel disease and any of the cognitive domains. In 89 regions with increased brain-age gap in the cerebral small vessel disease group, seven regional brain-age gaps were able to show significant mediation effects in cerebral small vessel disease-related cognitive impairment (we set the statistical significance P < 0.05 uncorrected in 89 mediation models). Of these, the left thalamus and left hippocampus brain-age gap explained poorer global cognitive performance in cerebral small vessel disease. We demonstrated the interconnections between cerebral small vessel disease and brain age. Strategic brain aging, i.e. advanced brain aging in critical regions, may be involved in the pathophysiology of cerebral small vessel disease-related cognitive impairment. Regional rather than global brain-age gap could potentially serve as a biomarker for predicting heterogeneous cognitive outcomes in patients with cerebral small vessel disease.
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Affiliation(s)
- Pei-Lin Lee
- Institute of Neuroscience, National Yang Ming Chiao Tung University , Taipei , Taiwan
| | - Chen-Yuan Kuo
- Aging and Health Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
| | - Pei-Ning Wang
- Aging and Health Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital , Taipei , Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Center for Geriatric and Gerontology, Taipei Veterans General Hospital , Taipei , Taiwan
| | - Liang-Kung Chen
- Aging and Health Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Center for Geriatric and Gerontology, Taipei Veterans General Hospital , Taipei , Taiwan
- Taipei Municipal Gan-Dau Hospital (managed by Taipei Veterans General Hospital) , Taipei , Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University , Taipei , Taiwan
| | - Kun-Hsien Chou
- Institute of Neuroscience, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
| | - Chih-Ping Chung
- Aging and Health Research Center, National Yang Ming Chiao Tung University , Taipei , Taiwan
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital , Taipei , Taiwan
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Li X, Li Z, Zou Z, Wu X, Gao H, Wang C, Zhou J, Qi F, Zhang M, He J, Qi X, Yan F, Dou S, Zhang H, Tong L, Li Y. Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study. Front Mol Neurosci 2022; 15:825286. [PMID: 35283729 PMCID: PMC8904428 DOI: 10.3389/fnmol.2022.825286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundChronic insomnia disorder (CID) is considered a major public health problem worldwide. Therefore, innovative and effective technical methods for studying the pathogenesis and clinical comprehensive treatment of CID are urgently needed.MethodsReal-time fMRI neurofeedback (rtfMRI-NF), a new intervention, was used to train 28 patients with CID to regulate their amygdala activity for three sessions in 6 weeks. Resting-state fMRI data were collected before and after training. Then, voxel-based degree centrality (DC) method was used to explore the effect of rtfMRI-NF training. For regions with altered DC, we determined the specific connections to other regions that most strongly contributed to altered functional networks based on DC. Furthermore, the relationships between the DC value of the altered regions and changes in clinical variables were determined.ResultsPatients with CID showed increased DC in the right postcentral gyrus, Rolandic operculum, insula, and superior parietal gyrus and decreased DC in the right supramarginal gyrus, inferior parietal gyrus, angular gyrus, middle occipital gyrus, and middle temporal gyrus. Seed-based functional connectivity analyses based on the altered DC regions showed more details about the altered functional networks. Clinical scores in Pittsburgh sleep quality index, insomnia severity index (ISI), Beck depression inventory, and Hamilton anxiety scale decreased. Furthermore, a remarkable positive correlation was found between the changed ISI score and DC values of the right insula.ConclusionsThis study confirmed that amygdala-based rtfMRI-NF training altered the intrinsic functional hubs, which reshaped the abnormal functional connections caused by insomnia and improved the sleep of patients with CID. These findings contribute to our understanding of the neurobiological mechanism of rtfMRI-NF in insomnia treatment. However, additional double-blinded controlled clinical trials with larger sample sizes need to be conducted to confirm the effect of rtfMRI-NF from this initial study.
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Affiliation(s)
- Xiaodong Li
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhonglin Li
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhi Zou
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaolin Wu
- Department of Nuclear Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Gao
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Caiyun Wang
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Zhou
- Health Management Center, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Fei Qi
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Miao Zhang
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Junya He
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Qi
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Fengshan Yan
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Shewei Dou
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongju Zhang
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Tong
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
- *Correspondence: Li Tong,
| | - Yongli Li
- Health Management Center, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
- Yongli Li,
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Shared Patterns of Brain Functional Connectivity for the Comorbidity between Migraine and Insomnia. Biomedicines 2021; 9:biomedicines9101420. [PMID: 34680538 PMCID: PMC8533078 DOI: 10.3390/biomedicines9101420] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/05/2021] [Accepted: 10/05/2021] [Indexed: 01/03/2023] Open
Abstract
Migraine is commonly comorbid with insomnia; both disorders are linked to functional disturbance of the default mode network (DMN). Evidence suggests that DMN could be segregated into multiple subnetworks with specific roles that underline different cognitive processes. However, the relative contributions of DMN subnetworks in the comorbidity of migraine and insomnia remain largely unknown. This study sought to identify altered functional connectivity (FC) profiles of DMN subnetworks in the comorbidity of migraine and insomnia. Direct group comparisons with healthy controls, followed by conjunction analyses, were used to identify shared FC alterations of DMN subnetworks. The shared FC changes of the DMN subnetworks in the migraine and insomnia groups were identified in the dorsomedial prefrontal and posteromedial cortex subnetworks. These shared FC changes were primarily associated with motor and somatosensory systems, and consistently found in patients with comorbid migraine and insomnia. Additionally, the magnitude of FC between the posteromedial cortex and postcentral gyrus correlated with insomnia duration in patients with comorbid migraine and insomnia. Our findings point to specific FC alterations of the DMN subnetwork in migraine and insomnia. The shared patterns of FC disturbance may be associated with the underlying mechanisms of the comorbidity of the two disorders.
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