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Yorita A, Kawayama T, Inoue M, Kinoshita T, Oda H, Tokunaga Y, Tateishi T, Shoji Y, Uchimura N, Abe T, Hoshino T, Taniwaki T. Altered Functional Connectivity during Mild Transient Respiratory Impairment Induced by a Resistive Load. J Clin Med 2024; 13:2556. [PMID: 38731091 PMCID: PMC11084533 DOI: 10.3390/jcm13092556] [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: 03/19/2024] [Revised: 04/17/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Background: Previous neuroimaging studies have identified brain regions related to respiratory motor control and perception. However, little is known about the resting-state functional connectivity (FC) associated with respiratory impairment. We aimed to determine the FC involved in mild respiratory impairment without altering transcutaneous oxygen saturation. Methods: We obtained resting-state functional magnetic resonance imaging data from 36 healthy volunteers during normal respiration and mild respiratory impairment induced by resistive load (effort breathing). ROI-to-ROI and seed-to-voxel analyses were performed using Statistical Parametric Mapping 12 and the CONN toolbox. Results: Compared to normal respiration, effort breathing activated FCs within and between the sensory perceptual area (postcentral gyrus, anterior insular cortex (AInsula), and anterior cingulate cortex) and visual cortex (the visual occipital, occipital pole (OP), and occipital fusiform gyrus). Graph theoretical analysis showed strong centrality in the visual cortex. A significant positive correlation was observed between the dyspnoea score (modified Borg scale) and FC between the left AInsula and right OP. Conclusions: These results suggested that the FCs within the respiratory sensory area via the network hub may be neural mechanisms underlying effort breathing and modified Borg scale scores. These findings may provide new insights into the visual networks that contribute to mild respiratory impairments.
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Affiliation(s)
- Akiko Yorita
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Tomotaka Kawayama
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Masayuki Inoue
- Cognitive and Molecular Research Institute of Brain Disease, Kurume University, Kurume 830-0011, Japan; (M.I.); (Y.S.); (N.U.)
| | - Takashi Kinoshita
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Hanako Oda
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Yoshihisa Tokunaga
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Takahisa Tateishi
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Yoshihisa Shoji
- Cognitive and Molecular Research Institute of Brain Disease, Kurume University, Kurume 830-0011, Japan; (M.I.); (Y.S.); (N.U.)
| | - Naohisa Uchimura
- Cognitive and Molecular Research Institute of Brain Disease, Kurume University, Kurume 830-0011, Japan; (M.I.); (Y.S.); (N.U.)
| | - Toshi Abe
- Department of Radiology, Kurume University School of Medicine, Kurume 830-0011, Japan;
| | - Tomoaki Hoshino
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
| | - Takayuki Taniwaki
- Division of Respirology, Neurology, and Rheumatology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan; (A.Y.); (T.K.); (T.K.); (H.O.); (Y.T.); (T.T.); (T.H.)
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Wang M, Wang Y, Wang Z, Ren Q. The Abnormal Alternations of Brain Imaging in Patients with Chronic Obstructive Pulmonary Disease: A Systematic Review. J Alzheimers Dis Rep 2023; 7:901-919. [PMID: 37662615 PMCID: PMC10473125 DOI: 10.3233/adr-220083] [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: 10/12/2022] [Accepted: 07/11/2023] [Indexed: 09/05/2023] Open
Abstract
Background Cognitive impairment (CI) is an important extrapulmonary complication in patients with chronic obstructive pulmonary disease (COPD). Multimodal Neuroimaging Examination can display changes in brain structure and functions in patients with COPD. Objective The purpose of this systematic review is to provide an overview of the variations in brain imaging in patients with COPD and their potential relationship with CI. Furthermore, we aim to provide new ideas and directions for future research. Methods Literature searches were performed using the electronic databases PubMed, Scopus, and ScienceDirect. All articles published between January 2000 and November 2021 that met the eligibility criteria were included. Results Twenty of the 23 studies focused on changes in brain structure and function. Alterations in the brain's macrostructure are manifested in the bilateral frontal lobe, hippocampus, right temporal lobe, motor cortex, and supplementary motor area. The white matter microstructural changes initially appear in the bilateral frontal subcortical region. Regarding brain function, patients with COPD exhibited reduced frontal cerebral perfusion and abnormal alterations in intrinsic brain activity in the bilateral posterior cingulate cortex, precuneus, right lingual gyrus, and left anterior central gyrus. Currently, there is limited research related to brain networks. Conclusion CI in patients with COPD may present as a type of dementia different from Alzheimer's disease, which tends to manifest as frontal cognitive decline early in the disease. Further studies are required to clarify the neurobiological pathways of CI in patients with COPD from the perspective of brain connectomics based on the whole-brain system in the future.
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Affiliation(s)
- Mengxue Wang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, China
| | - Yanjuan Wang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, China
| | - Zan Wang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, China
| | - Qingguo Ren
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, China
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Golovina E, Fadason T, Jaros RK, Kumar H, John J, Burrowes K, Tawhai M, O'Sullivan JM. De novo discovery of traits co-occurring with chronic obstructive pulmonary disease. Life Sci Alliance 2023; 6:6/3/e202201609. [PMID: 36574990 PMCID: PMC9795035 DOI: 10.26508/lsa.202201609] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 12/06/2022] [Accepted: 12/08/2022] [Indexed: 12/28/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous group of chronic lung conditions. Genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) associated with COPD and the co-occurring conditions, suggesting common biological mechanisms underlying COPD and these co-occurring conditions. To identify them, we have integrated information across different biological levels (i.e., genetic variants, lung-specific 3D genome structure, gene expression and protein-protein interactions) to build lung-specific gene regulatory and protein-protein interaction networks. We have queried these networks using disease-associated SNPs for COPD, unipolar depression and coronary artery disease. COPD-associated SNPs can control genes involved in the regulation of lung or pulmonary function, asthma, brain region volumes, cortical surface area, depressed affect, neuroticism, Parkinson's disease, white matter microstructure and smoking behaviour. We describe the regulatory connections, genes and biochemical pathways that underlay these co-occurring trait-SNP-gene associations. Collectively, our findings provide new avenues for the investigation of the underlying biology and diverse clinical presentations of COPD. In so doing, we identify a collection of genetic variants and genes that may aid COPD patient stratification and treatment.
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Affiliation(s)
| | - Tayaza Fadason
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand
| | - Rachel K Jaros
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Haribalan Kumar
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joyce John
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Kelly Burrowes
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Merryn Tawhai
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Justin M O'Sullivan
- Liggins Institute, University of Auckland, Auckland, New Zealand .,Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,Garvan Institute of Medical Research, Sydney, Australia.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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Peng Z, Zhang HT, Wang G, Zhang J, Qian S, Zhao Y, Zhang R, Wang W. Cerebral neurovascular alterations in stable chronic obstructive pulmonary disease: a preliminary fMRI study. PeerJ 2022; 10:e14249. [PMID: 36405017 PMCID: PMC9671032 DOI: 10.7717/peerj.14249] [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: 03/23/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose Cognitive impairment (CI) is very common in patients with chronic obstructive pulmonary disease (COPD). Cerebral structural and functional abnormalities have been reported in cognitively impaired patients with COPD, and the neurovascular coupling changes are rarely investigated. To address this issue, arterial spin labeling (ASL) and resting-state blood oxygenation level dependent (BOLD) fMRI techniques were used to determine whether any neurovascular changes in COPD patients. Methods Forty-five stable COPD patients and forty gender- and age-matched healthy controls were recruited. Furthermore, resting-state BOLD fMRI and ASL were acquired to calculate degree centrality (DC) and cerebral blood flow (CBF) respectively. The CBF-DC coupling and CBF/DC ratio were compared between the two groups. Results COPD patients showed abnormal CBF, DC and CBF/DC ratio in several regions. Moreover, lower CBF/DC ratio in the left lingual gyrus negatively correlated with naming scores, lower CBF/DC ratio in medial frontal cortex/temporal gyrus positively correlated with the Montreal Cognitive Assessment (MoCA), visuospatial/executive and delayed recall scores. Conclusion These findings may provide new potential insights into neuropathogenesis of cognition decline in stable COPD patients.
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Affiliation(s)
- Zhaohui Peng
- Department of Nuclear Medicine, Central Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China,Department of Medical Imaging, Changzheng Hospital, Shanghai, China
| | - Hong Tao Zhang
- Institute of Ophthalmology, Third Medical Center of PLA General Hospital, Beijing, China
| | - Gang Wang
- The Second Community Healthcare Service Center of Zhengzhou Road, Luoyang, Henan, China
| | - Juntao Zhang
- GE Healthcare, Precision Health Institution, Shanghai, China
| | - Shaowen Qian
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, China
| | - Yajun Zhao
- Department of Medical Imaging, 71282 Hospital, Baoding, Hebei province, China
| | - Ruijie Zhang
- Department of Radiology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong Province, China
| | - Wei Wang
- Department of Medical Imaging, Changzheng Hospital, Shanghai, China,Department of Medical Imaging, 71282 Hospital, Baoding, Hebei province, China
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Tang F, Li L, Peng D, Yu J, Xin H, Tang X, Li K, Zeng Y, Xie W, Li H. Abnormal static and dynamic functional network connectivity in stable chronic obstructive pulmonary disease. Front Aging Neurosci 2022; 14:1009232. [PMID: 36325191 PMCID: PMC9618865 DOI: 10.3389/fnagi.2022.1009232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/26/2022] [Indexed: 12/03/2022] Open
Abstract
Objective Many studies have explored the neural mechanisms of cognitive impairment in chronic obstructive pulmonary disease (COPD) patients using the functional MRI. However, the dynamic properties of brain functional networks are still unclear. The purpose of this study was to explore the changes in dynamic functional network attributes and their relationship with cognitive impairment in stable COPD patients. Materials and methods The resting-state functional MRI and cognitive assessments were performed on 19 stable COPD patients and 19 age-, sex-, and education-matched healthy controls (HC). We conducted the independent component analysis (ICA) method on the resting-state fMRI data, and obtained seven resting-state networks (RSNs). After that, the static and dynamic functional network connectivity (sFNC and dFNC) were respectively constructed, and the differences of functional connectivity (FC) were compared between the COPD patients and the HC groups. In addition, the correlation between the dynamic functional network attributes and cognitive assessments was analyzed in COPD patients. Results Compared to HC, there were significant differences in sFNC among COPD patients between and within networks. COPD patients showed significantly longer mean dwell time and higher fractional windows in weaker connected State I than that in HC. Besides, in comparison to HC, COPD patients had more extensive abnormal FC in weaker connected State I and State IV, and less abnormal FC in stronger connected State II and State III, which were mainly located in the default mode network, executive control network, and visual network. In addition, the dFNC properties including mean dwell time and fractional windows, were significantly correlated with some essential clinical indicators such as FEV1, FEV1/FVC, and c-reactive protein (CRP) in COPD patients. Conclusion These findings emphasized the differences in sFNC and dFNC of COPD patients, which provided a new perspective for understanding the cognitive neural mechanisms, and these indexes may serve as neuroimaging biomarkers of cognitive performance in COPD patients.
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Affiliation(s)
- Fuqiu Tang
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lan Li
- Department of Infection Management, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang, China
| | - Dechang Peng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
- PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jingjing Yu
- Department of Respiratory and Critical Care, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Huizhen Xin
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xuan Tang
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kunyao Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yaping Zeng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Xie
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Haijun Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
- PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Haijun Li,
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Li Y, Wu K, Hu X, Xu T, Li Z, Zhang Y, Li K. Altered Effective Connectivity of Resting-State Networks by Tai Chi Chuan in Chronic Fatigue Syndrome Patients: A Multivariate Granger Causality Study. Front Neurol 2022; 13:858833. [PMID: 35720086 PMCID: PMC9203735 DOI: 10.3389/fneur.2022.858833] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/05/2022] [Indexed: 12/05/2022] Open
Abstract
Numerous evidence has shown that patients with chronic fatigue syndrome (CFS) have changes in resting brain functional connectivity, but there is no study on the brain network effect of Tai Chi Chuan intervention in CFS. To explore the influence of Tai Chi Chuan exercise on the causal relationship between brain functional networks in patients with CFS, 21 patients with CFS and 19 healthy controls were recruited for resting-state functional magnetic resonance imaging (rs-fMRI) scanning and 36-item Short-Form Health Survey (SF-36) scale assessment before and after 1month-long training in Tai Chi Chuan. We extracted the resting brain networks using the independent component analysis (ICA) method, analyzed the changes of FC in these networks, conducted Granger causality analysis (GCA) on it, and analyzed the correlation between the difference causality value and the SF-36 scale. Compared to the healthy control group, the SF-36 scale scores of patients with CFS were lower at baseline. Meanwhile, the causal relationship between sensorimotor network (SMN) and default mode network (DMN) was weakened. The above abnormalities could be improved by Tai Chi Chuan training for 1 month. In addition, the correlation analyses showed that the causal relationship between SMN and DMN was positively correlated with the scores of Role Physical (RP) and Bodily Pain (BP) in CFS patients, and the change of causal relationship between SMN and DMN before and after training was positively correlated with the change of BP score. The findings suggest that Tai Chi Chuan is helpful to improve the quality of life for patients with CFS. The change of Granger causality between SMN and DMN may be a readout parameter of CFS. Tai Chi Chuan may promote the functional plasticity of brain networks in patients with CFS by regulating the information transmission between them.
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Affiliation(s)
- Yuanyuan Li
- Department of Neurology and Stroke Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kang Wu
- Department of Neurology and Stroke Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaojie Hu
- Department of Rehabilitation, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Tianjiao Xu
- Department of Neurology and Stroke Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Zongheng Li
- Department of Rehabilitation, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yong Zhang
- Department of Rehabilitation, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Yong Zhang
| | - Kuangshi Li
- Department of Rehabilitation, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Kuangshi Li
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