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Yang J, Xiao R, Liu Y, He C, Han L, Xu X, Chen M, Zhong J. Spatiotemporal consistency analysis of cerebral small vessel disease: an rs-fMRI study. Front Neurosci 2024; 18:1385960. [PMID: 38841094 PMCID: PMC11150806 DOI: 10.3389/fnins.2024.1385960] [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: 02/14/2024] [Accepted: 05/08/2024] [Indexed: 06/07/2024] Open
Abstract
Introduction Cerebral small vessel disease (SVD) affects older adults, but traditional approaches have limited the understanding of the neural mechanisms of SVD. This study aimed to explore the effects of SVD on brain regions and its association with cognitive decline using the four-dimensional (spatiotemporal) consistency of local neural activity (FOCA) method. Methods Magnetic resonance imaging data from 42 patients with SVD and 38 healthy controls (HCs) were analyzed using the FOCA values. A two-sample t test was performed to compare the differences in FOCA values in the brain between the HCs and SVD groups. Pearson correlation analysis was conducted to analyze the association of various brain regions with SVD scores. Results The results revealed that the FOCA values in the right frontal_inf_oper, right temporal_pole_sup, and default mode network decreased, whereas those in the temporal_inf, hippocampus, basal ganglia, and cerebellum increased, in patients with SVD. Most of these varying brain regions were negatively correlated with SVD scores. Discussion This study suggested that the FOCA approach might have the potential to provide useful insights into the understanding of the neurophysiologic mechanisms of patients with SVD.
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Affiliation(s)
- Jie Yang
- Department of Radiology, Zigong First People’s Hospital, Zigong, China
| | - Rui Xiao
- Department of Radiology, Zigong First People’s Hospital, Zigong, China
| | - Yujian Liu
- Department of Radiology, Zigong First People’s Hospital, Zigong, China
- Sichuan Vocational College of Health and Rehabilitation, Zigong, China
| | - Chaoliang He
- Department of Radiology, Zigong First People’s Hospital, Zigong, China
| | - Limei Han
- Department of Radiology, Zigong First People’s Hospital, Zigong, China
- North Sichuan Medical College, Nanchong, China
| | - Xiaoya Xu
- Department of Neurology, Zigong First People’s Hospital, Zigong, China
| | - Meining Chen
- MR Research and Collaboration, Siemens Healthineers, Shanghai, China
| | - Jianquan Zhong
- Department of Radiology, Zigong First People’s Hospital, Zigong, China
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Ding J, Zhang H, Hua B, Feng C, Yang M, Ding X, Yang C. Frequency specificity in the amplitude of low frequency oscillations in patients with white matter lesions. J Clin Neurosci 2023; 113:86-92. [PMID: 37229795 DOI: 10.1016/j.jocn.2023.05.011] [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: 04/06/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
Previous studies have reported that patients with white matter lesions (WMLs) have abnormal spontaneous brain activity in the resting state. However, the spontaneous neuronal activity of specific frequency bands in WMLs patients is unknown. Here, we included 16 WMLs patients and 13 gender and age-matched healthy controls (HCs) underwent resting-state magnetic resonance imaging (rs-fMRI) scan and studied the specificity of the amplitude of low-frequency fluctuations (ALFF) in WMLs patients in the slow-5 (0.01-0.027 Hz), slow-4 (0.027-0.073 Hz), and typical (0.01-0.08 Hz) frequency bands. In addition, ALFF values of different frequency bands were extracted as classification features and support vector machines (SVM) were used to classify WMLs patients. In all three frequency bands, significant increases in ALFF values in WMLs patients were observed in the cerebellum. In the slow-5 band, the ALFF values of the left anterior cingulate and paracingulate gyri (ACG), and the right precentral gyrus, rolandic operculum and inferior temporal gyrus in WMLs patients were lower than those in HCs. In the slow-4 band, ALFF values were lower in WMLs patients than in HCs at the left ACG, the right median cingulate and paracingulate gyri, parahippocampal gyrus, caudate nucleus, and the bilateral lenticular nucleus, putamen. In the SVM classification model, the classification accuracy of slow-5, slow-4 and typical frequency bands is 75.86%, 86.21% and 72.41%, respectively. The results indicate that the ALFF abnormalities in WMLs patients have frequency specificity, and the ALFF abnormalities in the slow-4 frequency band may serve as imaging markers for WMLs.
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Affiliation(s)
- Jurong Ding
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China.
| | - Hui Zhang
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Bo Hua
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Chenyu Feng
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Mei Yang
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Xin Ding
- Department of Neurology, Chengdu Second People's Hospital, Chengdu, PR China.
| | - Chenghao Yang
- Department of Neurosurgery, Zigong Fourth People's Hospital, Zigong, PR China
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Li Y, Liu X, Jia X, Li H, Jia X, Yang Q. Structural and functional alterations in cerebral small vessel disease: an ALE-based meta-analysis. Cereb Cortex 2022; 33:5484-5492. [PMID: 36376927 DOI: 10.1093/cercor/bhac435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/01/2022] [Accepted: 10/02/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Cerebral small vessel disease (CSVD) is one of the most important causes of stroke and dementia. Although increasing studies have reported alterations of brain structural or neuronal functional activity exhibited in patients with CSVD, it is still unclear which alterations are reliable. Here, we performed a meta-analysis to establish which brain structural or neuronal functional activity changes in those studies were consistent. Activation likelihood estimation revealed that changes in neuronal functional activity in the left angular gyrus, bilateral anterior cingulate cortex/left medial prefrontal cortex, right rolandic operculum, and alterations of gray structure in the left insular cortex/superior temporal gyrus/claustrum were reliable in sporadic CSVD. Decreased neuronal functional activity in the caudate head, anterior cingulate cortex, and reduced gray matter volume in the insular cortex/superior temporal gyrus/claustrum were associated with CSVD-related cognitive impairment. Furthermore, unlike sporadic CSVD, the reliable alterations of neuronal functional activity in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy were concentrated in the left parahippocampal gyrus. The current study presents stable brain structural and neuronal functional abnormalities within the brain, which can help further understand the pathogenesis of CSVD and CSVD-cognitive impairment and provide an index to evaluate the effectiveness of treatment protocols.
Highlights
• Default mode network and salience network are reliable networks affected in sporadic CSVD in resting-state.
• Altered corticostriatal circuitry is associated with cognitive decline.
• Decreased gray matter volume in the insular cortex is stable “remote effects” of sporadic CSVD.
• The parahippocampal gyrus may be a reliable affected brain region in CADASIL.
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Affiliation(s)
- Yingying Li
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Xin Liu
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Xuejia Jia
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Haoyuan Li
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Xiuqin Jia
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University , No.10 Xitoutiao, Fengtai District, Beijing 100069 , China
| | - Qi Yang
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University , No.10 Xitoutiao, Fengtai District, Beijing 100069 , China
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Liu Y, Hu A, Chen L, Li B, Zhang M, Xi P, Yang Q, Tang R, Huang Q, He J, Lang Y, Zhang Y. Association between cortical thickness and distinct vascular cognitive impairment and dementia in patients with white matter lesions. Exp Physiol 2021; 106:1612-1620. [PMID: 33866642 DOI: 10.1113/ep089419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/08/2021] [Indexed: 12/29/2022]
Abstract
NEW FINDINGS What is the central question of this study? White matter lesions (WMLs) are a brain disease characterized by altered brain structural and functional connectivity, but findings have shown an inconsistent pattern: are there distinct cortical thickness changes in patients with WMLs subtypes? What is the main finding and its importance? Patients with WMLs with non-dementia vascular cognitive impairment and WMLs with vascular dementia showed distinct pathophysiology in cortical thickness. These neural correlates of WMLs should be considered in future treatment. ABSTRACT The effect of cortical thickness on white matter lesions (WMLs) in patients with distinct vascular cognitive impairments is relatively unknown. This study investigated the correlation between cortical thickness and vascular cognitive manifestations. WML patients and healthy controls from Beijing Tiantan Hospital between 2014 and 2018 were included. The patients were further divided into two subgroups, namely WMLs with non-dementia vascular cognitive impairment (WML-VCIND) and WMLs with vascular dementia (WML-VaD) according to the Clinical Dementia Rating (CDR) scale and the Beijing version of the Montreal Cognitive Assessment (MoCA). Changes in cortical thickness were calculated using FreeSurfer. Pearson's correlation analysis was performed to explore the relationship between cognitive manifestations and cortical thickness in WML patients. Forty-five WML patients and 23 healthy controls were recruited. The WML group exhibited significant difference in cortical thickness compared to the control group. Significantly decreased cortical thickness in the middle and superior frontal gyri, middle temporal gyrus, angular gyrus and insula was found in the WML-VaD versus WML-VCIND subgroup. Cortical thickness deficits of the left caudal middle frontal gyrus (r = 0.451, P = 0.002), left rostral middle frontal gyrus (r = 0.514, P < 0.001), left superior frontal gyrus (r = 0.410, P = 0.006), right middle temporal gyrus (r = 0.440, P = 0.003), right pars triangularis (r = 0.462, P = 0.002), right superior frontal gyrus (r = 0.434, P = 0.004) and right insula (r = 0.499, P = 0.001) were positively correlated with the MoCA score in WML patients. The specific pattern of cortical thickness deficits in the WML-VaD subgroup revealed the pathophysiology of WMLs, which should be considered in future treatment of WMLs.
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Affiliation(s)
- Yafei Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Anming Hu
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Luyao Chen
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Bo Li
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Minjian Zhang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Pengcheng Xi
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Qinghu Yang
- College of Life Sciences & Research Center for Resource Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, China
| | - Rongyu Tang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Qiang Huang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Jiping He
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.,Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Yiran Lang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Yumei Zhang
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Abnormal white matter functional connectivity density in antipsychotic-naive adolescents with schizophrenia. Clin Neurophysiol 2021; 132:1025-1032. [PMID: 33743297 DOI: 10.1016/j.clinph.2020.12.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 12/14/2020] [Accepted: 12/27/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVES This study aimed to assess the white matter (WM) functional hubs and abnormal functional connectivity pattern in adolescents with schizophrenia (AOS) and to explore the potential mechanisms. METHODS Based on resting-state fMRI data, we measured the WM functional connectivity density (FCD) at local- and long- ranges in 39 AOS and 31 healthy controls (HCs). Group comparison was conducted between the two groups. Spearman rank correlation analysis between the altered WM FCD and clinical PANSS scores was performed. RESULTS In the local scale, the functional hubs of the WM were mainly located in the corona radiata and cerebellum. Compared with HCs, AOS patients exhibited decreased FCD in the superior corona radiata. In the long-range, the functional hubs of the WM were mainly located in the external capsule and pons. AOS patients exhibited increased FCD in the cingulum but decreased FCD in the right dorsal raphe nuclei (DR). Furthermore, the aberrant long-range FCD in the right DR was inversely proportional to the clinical symptoms. CONCLUSION These findings indicated that the pathophysiology of schizophrenia may also lie in WM functional dysconnectivity. SIGNIFICANCE The current results provided initial evidence for the hypothesis of abnormal WM functional connectivity in schizophrenia.
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12-h abstinence-induced functional connectivity density changes and craving in young smokers: a resting-state study. Brain Imaging Behav 2020; 13:953-962. [PMID: 29926324 DOI: 10.1007/s11682-018-9911-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Studying the neural correlates of craving to smoke is of great importance to improve treatment outcomes in smoking addiction. According to previous studies, the critical roles of striatum and frontal brain regions had been revealed in addiction. However, few studies focused on the hub of brain regions in the 12 h abstinence induced craving in young smokers. Thirty-one young male smokers were enrolled in the present study. A within-subject experiment design was carried out to compare functional connectivity density between 12-h smoking abstinence and smoking satiety conditions during resting state in young adult smokers by using functional connectivity density mapping (FCDM). Then, the functional connectivity density changes during smoking abstinence versus satiety were further used to examine correlations with abstinence-induced changes in subjective craving. We found young adult smokers in abstinence state (vs satiety) had higher local functional connectivity density (lFCD) and global functional connectivity density (gFCD) in brain regions including striatal subregions (i.e., bilateral caudate and putamen), frontal regions (i.e., anterior cingulate cortex (ACC) and orbital frontal cortex (OFC)) and bilateral insula. We also found higher lFCD during smoking abstinence (vs satiety) in bilateral thalamus. Additionally, the lFCD changes of the left ACC, bilateral caudate and right OFC were positively correlated with the changes in craving induced by abstinence (i.e., abstinence minus satiety) in young adult smokers. The present findings improve the understanding of the effects of acute smoking abstinence on the hubs of brain gray matter in the abstinence-induces craving and may contribute new insights into the neural mechanism of abstinence-induced craving in young smokers in smoking addiction.
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Diniz PHB, Valente TLA, Diniz JOB, Silva AC, Gattass M, Ventura N, Muniz BC, Gasparetto EL. Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2018; 167:49-63. [PMID: 29706405 DOI: 10.1016/j.cmpb.2018.04.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 02/12/2018] [Accepted: 04/17/2018] [Indexed: 05/06/2023]
Abstract
BACKGROUND AND OBJECTIVE White matter lesions are non-static brain lesions that have a prevalence rate up to 98% in the elderly population. Because they may be associated with several brain diseases, it is important that they are detected as soon as possible. Magnetic Resonance Imaging (MRI) provides three-dimensional data with the possibility to detect and emphasize contrast differences in soft tissues, providing rich information about the human soft tissue anatomy. However, the amount of data provided for these images is far too much for manual analysis/interpretation, representing a difficult and time-consuming task for specialists. This work presents a computational methodology capable of detecting regions of white matter lesions of the brain in MRI of FLAIR modality. The techniques highlighted in this methodology are SLIC0 clustering for candidate segmentation and convolutional neural networks for candidate classification. METHODS The methodology proposed here consists of four steps: (1) images acquisition, (2) images preprocessing, (3) candidates segmentation and (4) candidates classification. RESULTS The methodology was applied on 91 magnetic resonance images provided by DASA, and achieved an accuracy of 98.73%, specificity of 98.77% and sensitivity of 78.79% with 0.005 of false positives, without any false positives reduction technique, in detection of white matter lesion regions. CONCLUSIONS It is demonstrated the feasibility of the analysis of brain MRI using SLIC0 and convolutional neural network techniques to achieve success in detection of white matter lesions regions.
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Affiliation(s)
- Pedro Henrique Bandeira Diniz
- Pontifical Catholic University of Rio de Janeiro - PUC - RioR. São Vicente, 225, Gávea, RJ, Rio de Janeiro, 22453-900, Brazil.
| | - Thales Levi Azevedo Valente
- Pontifical Catholic University of Rio de Janeiro - PUC - RioR. São Vicente, 225, Gávea, RJ, Rio de Janeiro, 22453-900, Brazil.
| | - João Otávio Bandeira Diniz
- Federal University of Maranhão - UFMA Applied Computing Group - NCA Av. dos Portugueses, SN, Bacanga, MA, São Luís, 65085-580, Brazil.
| | - Aristófanes Corrêa Silva
- Federal University of Maranhão - UFMA Applied Computing Group - NCA Av. dos Portugueses, SN, Bacanga, MA, São Luís, 65085-580, Brazil.
| | - Marcelo Gattass
- Pontifical Catholic University of Rio de Janeiro - PUC - RioR. São Vicente, 225, Gávea, RJ, Rio de Janeiro, 22453-900, Brazil.
| | - Nina Ventura
- Paulo Niemeyer State Brain Institute - IECR. Lobo Júnior, 2293, Penha -RJ, 21070-060, Brazil.
| | - Bernardo Carvalho Muniz
- Paulo Niemeyer State Brain Institute - IECR. Lobo Júnior, 2293, Penha -RJ, 21070-060, Brazil.
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Ding JR, Ding X, Hua B, Xiong X, Wen Y, Ding Z, Wang Q, Thompson P. Altered connectivity patterns among resting state networks in patients with ischemic white matter lesions. Brain Imaging Behav 2018; 12:1239-1250. [PMID: 29134612 PMCID: PMC6290724 DOI: 10.1007/s11682-017-9793-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
White matter lesions (WMLs) have been associated with cognitive and motor decline. Resting state networks (RSNs) are spatially coherent patterns in the human brain and their interactions sustain our daily function. Therefore, investigating the altered intra- and inter-network connectivity among the RSNs may help to understand the association of WMLs with impaired cognitive and motor function. Here, we assessed alterations in functional connectivity patterns based on six well-defined RSNs-the default mode network (DMN), dorsal attention network (DAN), frontal-parietal control network (FPCN), auditory network (AN), sensory motor network (SMN) and visual network (VN)-in 15 patients with ischemic WMLs and 15 controls. In the patients, Spearman's correlation analysis was further performed between these alterations and cognitive test scores, including Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Our results showed wide alterations of inter-network connectivity mainly involving the SMN, DMN, FPCN and DAN, and some alterations correlated with cognitive test scores in the patients. The reduced functional connectivities in the SMN-AN, SMN-VN, FPCN-AN, DAN-VN pairs may account for the cognitive and motor decline in patients with ischemic WMLs, while the increased functional connectivities in the DMN-AN, DMN-FPCN and DAN-FPCN pairs may reflect a functional network reorganization after damage to white matter. It is unexpected that altered intra-network connectivities were found within the AN and VN, which may explain the impairments in verbal fluency and information retrieval associated with WMLs. This study highlights the importance of functional connectivity in understanding how WMLs influence cognitive and behavior dysfunction.
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Affiliation(s)
- Ju-Rong Ding
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China.
- Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, CA, USA.
| | - Xin Ding
- Department of Neurology, Chengdu Military General Hospital, Chengdu, China
| | - Bo Hua
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China
| | - Xingzhong Xiong
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China
| | - Yuqiao Wen
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China
| | - Zhongxiang Ding
- Department of Radiology, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Qingsong Wang
- Department of Neurology, Chengdu Military General Hospital, Chengdu, China
| | - Paul Thompson
- Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, CA, USA.
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New insights into cerebral small vessel disease and vascular cognitive impairment from MRI. Curr Opin Neurol 2018; 31:36-43. [PMID: 29084064 DOI: 10.1097/wco.0000000000000513] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW We review recent MRI research that addresses two important challenges in cerebral small vessel disease (SVD) research: early diagnosis, and linking SVD with cognitive impairment. First, we review studies of MRI measurements of blood flow and blood-brain barrier integrity. Second, we review MRI studies identifying neuroimaging correlates of SVD-related cognitive dysfunction, focusing on brain connectivity and white matter microarchitecture. This research is placed in context through discussion of recent recommendations for management of incidentally discovered SVD, and neuroimaging biomarker use in clinical trials. RECENT FINDINGS Cerebral perfusion, cerebrovascular reactivity (CVR), blood-brain barrier permeability, and white matter microarchitecture are measurable using MRI, and are altered in SVD. Lower cerebral blood flow predicts a higher future risk for dementia, whereas decreased CVR occurs at early stages of SVD and is associated with future white matter hyperintensity growth. Two new approaches to analyzing diffusion tensor imaging (DTI) data in SVD patients have emerged: graph theory-based analysis of networks of DTI connectivity between cortical nodes, and analysis of histograms of mean diffusivity of the hemispheric white matter. SUMMARY New, advanced quantitative neuroimaging techniques are not ready for routine radiological practice but are already being employed as monitoring biomarkers in the newest generation of trials for SVD.
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Bournonville C, Hénon H, Dondaine T, Delmaire C, Bombois S, Mendyk AM, Cordonnier C, Moulin S, Leclerc X, Bordet R, Lopes R. Identification of a specific functional network altered in poststroke cognitive impairment. Neurology 2018; 90:e1879-e1888. [DOI: 10.1212/wnl.0000000000005553] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 03/02/2018] [Indexed: 12/22/2022] Open
Abstract
ObjectiveTo study the association between poststroke cognitive impairment and defining a specific resting functional marker.MethodsThe resting-state functional connectivity 6 months after an ischemic stroke in 56 patients was investigated. Twenty-nine of the patients who had an impairment of one or several cognitive domains were compared to 27 without any cognitive deficit. We studied the whole-brain connectivity using 2 complementary approaches: graph theory to study the functional network organization and network-based statistics to explore connectivity between brain regions. We assessed the potential cortical atrophy using voxel-based morphometry analysis.ResultsThe overall topological organization of the functional network was not altered in cognitively impaired stroke patients, who had the same mean node degree, average clustering coefficient, and global efficiency as cognitively healthy stroke patients. Network-based statistics analysis showed that poststroke cognitive impairment was associated with dysfunction of a whole-brain network composed of 167 regions and 178 connections, and functional disconnections between superior, middle, and inferior frontal gyri and the superior and inferior temporal gyri. These regions had connections that were specifically and positively correlated with cognitive domain scores. No intergroup differences in overall gray matter thickness and ischemic infarct topography were observed. To assess the effect of prestroke white matter hyperintensities on connectivity, we included the initial Fazekas scale in the regression model for a second network-based analysis. The resulting network was associated with the same key alterations but had fewer connections.ConclusionsThe observed functional network alterations suggest that the appearance of a cognitive impairment following stroke may be associated with a particular functional alteration, shared specifically between cognitive domains.
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Ding X, Ding J, Hua B, Xiong X, Xiao L, Peng F, Chen L, Pan X, Wang Q. Abnormal cortical functional activity in patients with ischemic white matter lesions: A resting-state functional magnetic resonance imaging study. Neurosci Lett 2017; 644:10-17. [PMID: 28189742 DOI: 10.1016/j.neulet.2017.02.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 01/27/2017] [Accepted: 02/07/2017] [Indexed: 12/18/2022]
Abstract
There is increasing evidence that white matter lesions (WMLs) are associated with cognitive impairments. The purpose of this study was to explore the relationship of WMLs with cognitive impairments from the aspect of cortical functional activity. Briefly, Sixteen patients with ischemic WMLs and 13 controls participated in this study. A regional homogeneity (ReHo) approach was used to investigate altered neural coherence in patients with ischemic WMLs during the resting state. A correlation analysis was further performed between regions with altered ReHo and cognitive test scores, including Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), in the patient group. Finally, we found regions with altered ReHo values in patients with ischemic WMLs to be involved in default mode network (DMN), frontal-parietal control network (FPCN), dorsal attention network (DAN), motor network and right temporal cortex. Moreover, some altered regions belonging to DMN, FPCN and motor network were significantly correlated with cognitive test scores. Our results provide neuroimaging evidence for the impairments of memory, attention, executive and motor function in patients with ischemic WMLs. It is interesting to note that the decreased ReHo was mainly in the anterior brain regions, while increased ReHo in the posterior brain regions, which may indicate a failure down regulation of spontaneous activity in posterior regions. In summary, this study indicates an important role of specific cortical dysfunction in cognitive associated with WMLs.
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Affiliation(s)
- Xin Ding
- Department of Neurology, Chengdu Military General Hospital, No. 270 Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan, 610083, China
| | - Jurong Ding
- School of Automation and Electronic Information, Sichuan University of Science and Engineering, No. 180 Xueyuan Street, Huixing Road, Zigong, 64300, China
| | - Bo Hua
- School of Automation and Electronic Information, Sichuan University of Science and Engineering, No. 180 Xueyuan Street, Huixing Road, Zigong, 64300, China
| | - Xingzhong Xiong
- School of Automation and Electronic Information, Sichuan University of Science and Engineering, No. 180 Xueyuan Street, Huixing Road, Zigong, 64300, China
| | - Li Xiao
- Department of Neurology, Chengdu Military General Hospital, No. 270 Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan, 610083, China
| | - Fang Peng
- Department of Neurology, Chengdu Military General Hospital, No. 270 Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan, 610083, China
| | - Lin Chen
- Department of Neurology, Chengdu Military General Hospital, No. 270 Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan, 610083, China
| | - Xianfang Pan
- Department of Neurology, Chengdu Military General Hospital, No. 270 Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan, 610083, China
| | - Qingsong Wang
- Department of Neurology, Chengdu Military General Hospital, No. 270 Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan, 610083, China.
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