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Yang M, Zhang Y, Zhang T, Zhou H, Ren J, Zhou D, Yang T. Altered dynamic functional connectivity of motor cerebellum with sensorimotor network and default mode network in juvenile myoclonic epilepsy. Front Neurol 2024; 15:1373125. [PMID: 38903166 PMCID: PMC11187336 DOI: 10.3389/fneur.2024.1373125] [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: 01/19/2024] [Accepted: 05/21/2024] [Indexed: 06/22/2024] Open
Abstract
Objective To investigate whether changes occur in the dynamic functional connectivity (dFC) of motor cerebellum with cerebral cortex in juvenile myoclonic epilepsy (JME). Methods We adopted resting-state electroencephalography-functional magnetic resonance imaging (EEG-fMRI) and a sliding-window approach to explore the dFC of motor cerebellum with cortex in 36 JME patients compared with 30 and age-matched health controls (HCs). The motor cerebellum was divided into five lobules (I-V, VI, VIIb, VIIIa, and VIIIb). Additionally, correlation analyses were conducted between the variability of dFC and clinical variables in the Juvenile Myoclonic Epilepsy (JME) group, such as disease duration, age at disease onset, and frequency score of myoclonic seizures. Results Compared to HCs, the JME group presented increased dFC between the motor cerebellum with SMN and DMN. Specifically, connectivity between lobule VIIb and left precentral gyrus and right inferior parietal lobule (IPL); between lobule VIIIa and right inferior frontal gyrus (IFG) and left IPL; and between lobule VIIIb and left middle frontal gyrus (MFG), bilateral superior parietal gyrus (SPG), and left precuneus. In addition, within the JME group, the strength of dFC between lobule VIIIb and left precuneus was negatively (r = -0.424, p = 0.025, Bonferroni correction) related with the frequency score of myoclonic seizures. Conclusion In patients with JME, there is a functional dysregulation between the motor cerebellum with DMN and SMN, and the variability of dynamic functional connectivity may be closely associated with the occurrence of motor symptoms in JME.
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Affiliation(s)
- Menghan Yang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yingying Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tianyu Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huanyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiechuan Ren
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tianhua Yang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Lei J, Tang LL, You HJ. Pathological pain: Non-motor manifestations in Parkinson disease and its treatment. Neurosci Biobehav Rev 2024; 161:105646. [PMID: 38569983 DOI: 10.1016/j.neubiorev.2024.105646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/13/2024] [Accepted: 03/26/2024] [Indexed: 04/05/2024]
Abstract
In addition to motor symptoms, non-motor manifestations of Parkinson's disease (PD), i.e. pain, depression, sleep disturbance, and autonomic disorders, have received increasing attention. As one of the non-motor symptoms, pain has a high prevalence and is considered an early pre-motor symptom in the development of PD. In relation to pathological pain and its management in PD, particularly in the early stages, it is hypothesized that the loss of dopaminergic neurons causes a functional deficit in supraspinal structures, leading to an imbalance in endogenous descending modulation. Deficits in dopaminergic-dependent pathways also affect non-dopaminergic neurotransmitter systems that contribute to the pathological processing of nociceptive input, the integration, and modulation of pain in PD. This review examines the onset and progression of pain in PD, with a particular focus on alterations in the central modulation of nociception. The discussion highlights the importance of abnormal endogenous descending facilitation and inhibition in PD pain, which may provide potential clues to a better understanding of the nature of pathological pain and its effective clinical management.
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Affiliation(s)
- Jing Lei
- Center for Translational Medicine Research on Sensory-Motor Diseases, Yan'an University, Yan'an 716000, China; Key Laboratory of Yan'an Sports Rehabilitation Medicine, Yan'an 716000, China
| | - Lin-Lin Tang
- Center for Translational Medicine Research on Sensory-Motor Diseases, Yan'an University, Yan'an 716000, China
| | - Hao-Jun You
- Center for Translational Medicine Research on Sensory-Motor Diseases, Yan'an University, Yan'an 716000, China; Key Laboratory of Yan'an Sports Rehabilitation Medicine, Yan'an 716000, China.
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3
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Pan Y, Bi C, Kochunov P, Shardell M, Smith JC, McCoy RG, Ye Z, Yu J, Lu T, Yang Y, Lee H, Liu S, Gao S, Ma Y, Li Y, Chen C, Ma T, Wang Z, Nichols T, Hong LE, Chen S. Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.17.594743. [PMID: 38798606 PMCID: PMC11118564 DOI: 10.1101/2024.05.17.594743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The functional connectome changes with aging. We systematically evaluated aging related alterations in the functional connectome using a whole-brain connectome network analysis in 39,675 participants in UK Biobank project. We used adaptive dense network discovery tools to identify networks directly associated with aging from resting-state fMRI data. We replicated our findings in 499 participants from the Lifespan Human Connectome Project in Aging study. The results consistently revealed two motor-related subnetworks (both permutation test p-values <0.001) that showed a decline in resting-state functional connectivity (rsFC) with increasing age. The first network primarily comprises sensorimotor and dorsal/ventral attention regions from precentral gyrus, postcentral gyrus, superior temporal gyrus, and insular gyrus, while the second network is exclusively composed of basal ganglia regions, namely the caudate, putamen, and globus pallidus. Path analysis indicates that white matter fractional anisotropy mediates 19.6% (p<0.001, 95% CI [7.6% 36.0%]) and 11.5% (p<0.001, 95% CI [6.3% 17.0%]) of the age-related decrease in both networks, respectively. The total volume of white matter hyperintensity mediates 32.1% (p<0.001, 95% CI [16.8% 53.0%]) of the aging-related effect on rsFC in the first subnetwork.
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Affiliation(s)
- Yezhi Pan
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Chuan Bi
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Peter Kochunov
- Department of Psychiatry and Behavioral Science, University of Texas Health Science Center Houston, Houston, United States of America
| | - Michelle Shardell
- Department of Epidemiology and Public Health and Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - J. Carson Smith
- Department of Kinesiology, University of Maryland, College Park, Maryland, United States of America
| | - Rozalina G. McCoy
- Division of Endocrinology, Diabetes, & Nutrition, Department of Medicine, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Zhenyao Ye
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Jiaao Yu
- Department of Mathematics, University of Maryland, College Park, Maryland, United States of America
| | - Tong Lu
- Department of Mathematics, University of Maryland, College Park, Maryland, United States of America
| | - Yifan Yang
- Department of Mathematics, University of Maryland, College Park, Maryland, United States of America
| | - Hwiyoung Lee
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Song Liu
- School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Yizhou Ma
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Yiran Li
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Chixiang Chen
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Tianzhou Ma
- Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, Maryland, United States of America
| | - Ze Wang
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Thomas Nichols
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - L. Elliot Hong
- Department of Psychiatry and Behavioral Science, University of Texas Health Science Center Houston, Houston, United States of America
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland, United States of America
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Allen NE, Romaliiska O, Naisby J. Pain and the Non-Pharmacological Management of Pain in People with Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:S65-S80. [PMID: 38457146 DOI: 10.3233/jpd-230227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Pain is a distressing and universal experience, yet everyone's pain experience is influenced by a complex array of biological, psychological, and social factors. For people with Parkinson's disease (PwP), these biopsychosocial factors include neurodegeneration and the psychological and social factors that accompany living with a chronic, neurodegenerative condition in addition to the factors experienced by those in the general population (e.g., living with co-morbidities such as osteoarthritis). The way these factors influence each individual is likely to determine which pain management strategies are optimal for them. This review first describes pain and the biopsychosocial model of pain. It explores how pain is classified in Parkinson's disease (PD) and describes the three main types of pain: nociceptive, neuropathic, and nociplastic pain. This background provides context for a discussion of non-pharmacological pain management strategies that may aid in the management of pain in PwP; exercise, psychological strategies, acupuncture and massage. While there is little PD-specific research to inform the non-pharmacological management of pain, findings from current PD research are combined with that from chronic pain research to present recommendations for clinical practice. Recommendations include assessment that incorporates potential biopsychosocial contributors to pain that will then guide a holistic, multi-modal approach to management. As exercise provides overall benefits for PwP, those with chronic pain should be carefully monitored with exercise prescribed and adjusted accordingly. Research is needed to develop and evaluate multi-modal approaches to pain management that are delivered in a biopsychosocial framework.
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Affiliation(s)
- Natalie Elizabeth Allen
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Oksana Romaliiska
- Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jenni Naisby
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne, UK
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5
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Zheng JH, Sun WH, Ma JJ, Wang ZD, Chang QQ, Dong LR, Shi XX, Li MJ. Differences in Brain Activity Between Dopa-Responsive and -Unresponsive Pain in Parkinson's Disease. Pain Ther 2022; 11:959-970. [PMID: 35751780 PMCID: PMC9314530 DOI: 10.1007/s40122-022-00404-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/10/2022] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION Pain in Parkinson's disease is poorly understood, and most patients with pain do not respond to dopaminergic drugs. We aimed to explore the mechanisms of dopa-responsive and -unresponsive pain by comparing such patients against patients without pain in terms of neural activity and functional connectivity in the brain. METHODS We prospectively examined 31 Parkinson's patients with dopa-responsive pain, 51 with dopa-unresponsive pain and 93 without pain using resting-state functional magnetic resonance imaging. Neural activity was assessed in terms of the amplitude of low-frequency fluctuation, while functional connectivity was assessed based on analysis of regions of interest. RESULTS Patients with dopa-unresponsive pain showed significantly higher amplitude of low-frequency fluctuation in the right parahippocampal/lingual region than patients with no pain. However, there was no amplitude difference between the dopa-responsive pain group and the no pain group. Patients with dopa-unresponsive pain also differed significantly from patients with no pain in their functional connections between the superior temporal gyrus and other areas of cerebral cortex, between amygdala and thalamus and between the amygdala and putamen. Patients with dopa-responsive pain differed significantly from patients with no pain in their functional connections between temporal fusiform cortex and cerebellum, between precentral gyrus and temporal fusiform cortex and between precentral gyrus and cerebellum. CONCLUSIONS Regional neural activity and functional connectivity in the brain differ substantially among Parkinson's patients with dopa-unresponsive pain, dopa-responsive pain or no pain. Our results suggest that dopa-responsive and -unresponsive pain may arise through different mechanisms, which may help guide the development of targeted therapies.
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Affiliation(s)
- Jin Hua Zheng
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan Province, People's Republic of China
| | - Wen Hua Sun
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
| | - Jian Jun Ma
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China.
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China.
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan Province, People's Republic of China.
| | - Zhi Dong Wang
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
| | - Qing Qing Chang
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
| | - Lin Rui Dong
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
| | - Xiao Xue Shi
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
| | - Ming Jian Li
- Department of Neurology, Henan Provincial People's Hospital, Weiwu Road, Building 7, Zhengzhou, 450003, Henan Province, People's Republic of China
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan Province, People's Republic of China
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Hou Q, Wang C, Hou C, Tan J, He S, Tang L, Yong N, Ding X, Jiang G, Liu J, Wang X. Individual differences in pain sensitivity in drug-naive patients with major depressive disorder: an fMRI study. Brain Imaging Behav 2021; 15:1335-1343. [PMID: 32712795 DOI: 10.1007/s11682-020-00332-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Patients with major depressive disorder (MDD) often report pain; however, the pain-related brain mechanism that contributes to MDD with pain remains largely unclear. In the current study, we aimed to observe the cortical responses by employing fMRI technique combined with thermal stimulation paradigm in 17 major depressive disorder patients with pain (MDDP), 19 major depressive disorder patients without pain (MDDNP), and 25 age- and gender-matched healthy control (HC) subjects. Participants completed the Hamilton Depression Rating Scale-17 (HAMD-17) and provided pain intensity ratings in response to noxious heat (51 °C) during task-fMRI scanning by visual analogue scale (VAS). In our results, there was no difference in pain intensity ratings during tonic heat stimulation between the HC group and MDDNP group (p > 0.05), while the MDDNP group had significantly higher HAMD scores compared with the HC group (p < 0.001). The MDDNP group had decreased brain activation in the postcentral gyrus (PCG) compared with the HC group, implying abnormal activation of the PCG may associate with the characterized depressive mood of painless MDD (p < 0.05). Additionally, there was no difference in HAMD scores between the MDDP group and MDDNP group (p > 0.05), while the MDDP group had significantly greater pain during tonic heat stimulation compared with the MDDNP group (p < 0.01). The MDDP group showed enhanced activation in the PCG compared with the MDDNP group (p < 0.05), which may relate to the abnormal regulation of pain in painful MDD. Our results suggested that higher PCG activation may play an important role in facilitating the occurrence of pain in depression.
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Affiliation(s)
- Qianmei Hou
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Chen Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, 710071, People's Republic of China
| | - Changyue Hou
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Juan Tan
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Shaoyue He
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Lei Tang
- Psychiatry Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Na Yong
- Psychiatry Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Xianghong Ding
- Psychiatry Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Guohui Jiang
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
- Research Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, 637000, People's Republic of China
| | - Jixin Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, 710071, People's Republic of China.
| | - Xiaoming Wang
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, 637000, People's Republic of China.
- Research Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, 637000, People's Republic of China.
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7
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Rukavina K, Batzu L, Boogers A, Abundes-Corona A, Bruno V, Chaudhuri KR. Non-motor complications in late stage Parkinson's disease: recognition, management and unmet needs. Expert Rev Neurother 2021; 21:335-352. [PMID: 33522312 DOI: 10.1080/14737175.2021.1883428] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: The burden of non-motor symptoms (NMS) is a major determinant of health-related quality of life in Parkinson's disease (PD), particularly at its late stage.Areas covered: The late stage is usually defined as the period from unstable advanced to the palliative stage, characterized by a combination of emerging treatment-resistant axial motor symptoms (freezing of gait, postural instability, falls and dysphagia), as well as both non-dopaminergic and dopaminergic NMS: cognitive decline, neuropsychiatric symptoms, aspects of dysautonomia, pain and sleep disturbances (insomnia and excessive day-time sleepiness). Here, the authors summarize the current knowledge on NMS dominating the late stage of PD and propose a pragmatic and clinically focused approach for their recognition and treatment.Expert opinion: The NMS progression pattern is complex and remains under-researched. While dopamine-dependent NMS may improve with dopamine replacement therapy, non-dopamine dependent NMS worsen progressively and culminate at the late stages of PD. Furthermore, some PD specific features could interact negatively with other comorbidities, multiple medication use and frailty - the evaluation of these aspects is important in the creation of personalized management plans in the late stage of PD.
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Affiliation(s)
- Katarina Rukavina
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience at King's College and King's College Hospital NHS Foundation Trust, London, UK.,Parkinson Foundation Centre of Excellence, King's College Hospital, London, UK
| | - Lucia Batzu
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience at King's College and King's College Hospital NHS Foundation Trust, London, UK.,Parkinson Foundation Centre of Excellence, King's College Hospital, London, UK
| | - Alexandra Boogers
- Department of Neurology, University Hospital Leuven, Leuven, U.Z, Belgium
| | - Arturo Abundes-Corona
- Department of Neurology, Clinical Laboratory of Neurodegenerative Diseases, National Institute of Neurology and Neurosurgery, Mexico City, México.,Neurology Department, American British Cowdray Medical Center IAP, Mexico City, Mexico
| | - Veronica Bruno
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - K Ray Chaudhuri
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience at King's College and King's College Hospital NHS Foundation Trust, London, UK.,Parkinson Foundation Centre of Excellence, King's College Hospital, London, UK
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Assari S, Boyce S, Bazargan M. Nucleus Accumbens Functional Connectivity with the Frontoparietal Network Predicts Subsequent Change in Body Mass Index for American Children. Brain Sci 2020; 10:brainsci10100703. [PMID: 33022949 PMCID: PMC7600639 DOI: 10.3390/brainsci10100703] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 10/02/2020] [Indexed: 12/18/2022] Open
Abstract
Background: Nucleus accumbens (NAc) is a brain structure with a well-established role in the brain reward processing system. Altered function of the NAc is shown to have a role in the development of food addiction and obesity. However, less is known about sex differences in the role of NAc function as a predictor of children’s change in body mass index (BMI) over time. Aim: We used the Adolescent Brain Cognitive Development data (version 2.01) to investigate sex differences in the predictive role of the NAc functional connectivity with the frontoparietal network on children’s BMI change over a one-year follow-up period. Methods: This 1-year longitudinal study successfully followed 3784 9–10-year-old children. Regression models were used to analyze the data. The predictor variable was NAc functional connectivity with the frontoparietal network measured using resting-state functional magnetic resonance imaging (fMRI). The primary outcome was BMI at the end of the 1-year follow up. Covariates included race, ethnicity, age, socioeconomic factors, and baseline BMI. Sex was the effect modifier. Results: NAc functional connectivity with the frontoparietal network was predictive of BMI changes over time. This association remained significant above and beyond all covariates. The above association, however, was only significant in female, not male children. Conclusion: The epidemiological observation that NAc functional connectivity is associated with BMI changes in children is an extension of well-controlled laboratory studies that have established the role of the NAc in the brain reward processing. More research is needed on sex differences in the brain regions that contribute to childhood obesity.
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Affiliation(s)
- Shervin Assari
- Department of Family Medicine, Charles Drew University, Los Angeles, CA 90059, USA;
- Department of Urban Public Health, Charles Drew University, Los Angeles, CA 90059, USA
- Correspondence: ; Tel.: +(734)-232-0445; Fax: +734-615-8739
| | - Shanika Boyce
- Department of Pediatrics, Charles Drew University, Los Angeles, CA 90059, USA;
| | - Mohsen Bazargan
- Department of Family Medicine, Charles Drew University, Los Angeles, CA 90059, USA;
- Department of Family Medicine, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA
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9
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Gratton C, Koller JM, Shannon W, Greene DJ, Maiti B, Snyder AZ, Petersen SE, Perlmutter JS, Campbell MC. Emergent Functional Network Effects in Parkinson Disease. Cereb Cortex 2019; 29:2509-2523. [PMID: 29878081 PMCID: PMC6519699 DOI: 10.1093/cercor/bhy121] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Indexed: 01/13/2023] Open
Abstract
The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these observations, resting-state functional connectivity (FC) can be used to examine dysfunction across distributed brain networks. We measured FC in a large, single-site study of nondemented PD (N = 107; OFF medications) and healthy controls (N = 46) incorporating rigorous quality control measures and comprehensive sampling of cortical, subcortical and cerebellar regions. We employed novel statistical approaches to determine group differences across the entire connectome, at the network-level, and for select brain regions. Group differences respected well-characterized network delineations producing a striking "block-wise" pattern of network-to-network effects. Surprisingly, these results demonstrate that the greatest FC differences involve sensorimotor, thalamic, and cerebellar networks, with notably smaller striatal effects. Split-half replication demonstrates the robustness of these results. Finally, block-wise FC correlations with behavior suggest that FC disruptions may contribute to clinical manifestations in PD. Overall, these results indicate a concerted breakdown of functional network interactions, remote from primary pathophysiology, and suggest that FC deficits in PD are related to emergent network-level phenomena rather than focal pathology.
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Affiliation(s)
- Caterina Gratton
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jonathan M Koller
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Baijayanta Maiti
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Abraham Z Snyder
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Steven E Petersen
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO, USA
| | - Joel S Perlmutter
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
- Department of Occupational Therapy, Washington University in St. Louis, St. Louis, MO, USA
- Department of Physical Therapy, Washington University in St. Louis, St. Louis, MO, USA
| | - Meghan C Campbell
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
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10
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Kumar M, Rana P, Modi S, Tyagi R, Kaur P, Kanwar R, Sekhri T, D'souza M, Khushu S. Aberrant intra and inter network resting state functional connectivity in thyrotoxicosis. J Neuroendocrinol 2019; 31:e12683. [PMID: 30600576 DOI: 10.1111/jne.12683] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 12/02/2018] [Accepted: 12/28/2018] [Indexed: 11/28/2022]
Abstract
Thyroid hormones epigenetically play an important role in the regularisation of neural networks and in neural differentiation during brain development. The present study aimed to explore the intra and inter network resting state functional connectivity changes underlying the neurobehavioural symptoms in thyrotoxicosis. To understand the pathophysiological changes, we investigated the correlation between functional connectivity and clinical and behavioural measures. Twenty-eight freshly diagnosed thyrotoxicosis patients suffering with symptoms such as palpitation, loss of weight, trembling and heat intolerance from days to weeks and 28 healthy controls were recruited for the study. Thyrotoxicosis patients showed significantly decreased functional connectivity in sensorimotor network, fronto-temporal network, default mode network, right fronto-parietal network, left fronto-parietal network and salience network. Inter network functional connectivity was significantly reduced between the basal ganglia network and sensorimotor network and increased between the salience network and fronto-temporal network in thyrotoxicosis. Cognitive functions such as visual retention, recognition of objects, mental balance and performance on neuropsychological tests (ie, the Bender Gestalt test, Nahar-Benson test and Mini Mental State Examination) also showed significant decline in thyrotoxicosis patients. The altered intrinsic resting state functional connectivity might underlie these cognitive deficits. The increased functional connectivity between the salience network and fronto-temporal network suggests the recruitment of additional neuronal circuitry needed to compensate for the neuropathology in the primary neural network in thyrotoxicosis.
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Affiliation(s)
- Mukesh Kumar
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
| | - Poonam Rana
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
| | - Shilpi Modi
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
| | - Ritu Tyagi
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
| | - Prabhjot Kaur
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
| | | | - Tarun Sekhri
- Thyroid Research Centre, INMAS, DRDO, New Delhi, India
| | - Maria D'souza
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
| | - Subash Khushu
- NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, New Delhi, India
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11
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Griffanti L, Stratmann P, Rolinski M, Filippini N, Zsoldos E, Mahmood A, Zamboni G, Douaud G, Klein JC, Kivimäki M, Singh-Manoux A, Hu MT, Ebmeier KP, Mackay CE. Exploring variability in basal ganglia connectivity with functional MRI in healthy aging. Brain Imaging Behav 2018; 12:1822-1827. [PMID: 29442271 PMCID: PMC6302142 DOI: 10.1007/s11682-018-9824-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Changes in functional connectivity (FC) measured using resting state fMRI within the basal ganglia network (BGN) have been observed in pathologies with altered neurotransmitter systems and conditions involving motor control and dopaminergic processes. However, less is known about non-disease factors affecting FC in the BGN. The aim of this study was to examine associations of FC within the BGN with dopaminergic processes in healthy older adults. We explored the relationship between FC in the BGN and variables related to demographics, impulsive behavior, self-paced tasks, mood, and motor correlates in 486 participants in the Whitehall-II imaging sub-study using both region-of-interest- and voxel-based approaches. Age was the only correlate of FC in the BGN that was consistently significant with both analyses. The observed adverse effect of aging on FC may relate to alterations of the dopaminergic system, but no unique dopamine-related function seemed to have a link with FC beyond those detectable in and linearly correlated with healthy aging.
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Affiliation(s)
- Ludovica Griffanti
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
| | - Philipp Stratmann
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Informatics, Germany and Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Technical University of Munich, Wessling, Germany
| | - Michal Rolinski
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Institute of Clinical Neurosciences, University of Bristol, Bristol, UK
| | - Nicola Filippini
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Giovanna Zamboni
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Gwenaëlle Douaud
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Johannes C Klein
- Centre for the functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK
- INSERM, U 1018, Hôpital Paul-Brousse, Villejuif, France
| | - Michele T Hu
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Clare E Mackay
- Oxford Parkinson's Disease Centre (OPDC), Oxford, UK.
- Oxford Health NHS Foundation Trust, Oxford, UK.
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
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12
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Jia X, Ma S, Jiang S, Sun H, Dong D, Chang X, Zhu Q, Yao D, Yu L, Luo C. Disrupted Coupling Between the Spontaneous Fluctuation and Functional Connectivity in Idiopathic Generalized Epilepsy. Front Neurol 2018; 9:838. [PMID: 30344508 PMCID: PMC6182059 DOI: 10.3389/fneur.2018.00838] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 09/18/2018] [Indexed: 12/11/2022] Open
Abstract
Purpose: The purpose of this study was to comprehensively evaluate alterations of resting-state spontaneous brain activity in patients with idiopathic generalized epilepsy (IGE) and its subgroups [juvenile myoclonic epilepsy (JME) and generalized tonic-clonic seizures (GTCS)]. Methods: Resting state functional magnetic resonance imaging (fMRI) data were acquired from 60 patients with IGE and 60 healthy controls (HCs). Amplitude of low frequency fluctuation (ALFF), global functional connectivity density (gFCD), local FCD (lFCD), and long range FCD (lrFCD) were used to evaluate spontaneous brain activity in the whole brain. Moreover, the coupling between ALFF and FCDs (gFCD, lFCD, and lrFCD) was analyzed on both voxel-wise and subject-wise levels. Two-sample t-tests were used to analyze the difference in ALFF, FCDs and coupling on a subject-wise level between the two groups. Nonparametric permutation tests were used to evaluate differences in coupling on a voxel-wise level. Key findings: Patients with IGE and its subgroups showed reduced ALFF, gFCD and lrFCD in posterior regions of the default mode network (DMN). In addition, decreased ALFF and increased coupling with FCD were found in the cerebellum, while decreased coupling was observed in the bilateral pre- and postcentral gyrus in IGE compared with the coupling in HCs. Similar findings were found in the analysis between each of the two subgroups of IGE (JME and GTCS) and HCs, and JME patients had increased coupling in the cerebellum and bilateral middle occipital gyrus compared with coupling in the GTCS patients. Significance: This study demonstrated a multifactor abnormality of the DMN in IGE and emphasized that the abnormality in the cerebellum was associated with dysfunctional motor symptoms during seizures and might participate in the regulation of GSWDs in IGE.
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Affiliation(s)
- Xiaoyan Jia
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuai Ma
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Neurology Department, Sichuan Provincial People's Hospital, The Affiliated Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Sisi Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Honbin Sun
- Neurology Department, Sichuan Provincial People's Hospital, The Affiliated Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Debo Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xuebin Chang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qiong Zhu
- Neurology Department, Sichuan Provincial People's Hospital, The Affiliated Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Liang Yu
- Neurology Department, Sichuan Provincial People's Hospital, The Affiliated Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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13
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Altered Dynamic Functional Network Connectivity in Frontal Lobe Epilepsy. Brain Topogr 2018; 32:394-404. [DOI: 10.1007/s10548-018-0678-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Accepted: 09/10/2018] [Indexed: 01/10/2023]
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14
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Wang P, Luo X, Zhong C, Yang L, Guo F, Yu N. Resting state fMRI reveals the altered synchronization of BOLD signals in essential tremor. J Neurol Sci 2018; 392:69-76. [PMID: 30025236 DOI: 10.1016/j.jns.2018.07.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 06/14/2018] [Accepted: 07/08/2018] [Indexed: 10/28/2022]
Abstract
Essential tremor (ET) is one of the most common movement disorders in humans. Nevertheless, there remain several controversies surrounding ET, such as whether it is a disorder of abnormal neuronal oscillations within the tremor network. In this work, the resting-state fMRI data were collected from 17 ET patients and 17 age- and gender-matched healthy controls. First, using FOur-dimensional (spatiotemporal) Consistency of local neural Activities (FOCA) the abnormal synchronization of fMRI signals in ET patients were investigated. Then, global functional connectivity intensity (gFCI) and density (gFCD) were analyzed in the regions exhibiting significant FOCA differences. Compared with healthy controls, patients with ET showed the increased FOCA values found in the bilateral cuneus, the left lingual gyrus, the left paracentral lobule, the right middle temporal gyrus, the bilateral precentral gyrus, the right postcentral gyrus, the pallidum and putamen. Decreased FOCA values in ET patients were located in the frontal gyrus, the bilateral anterior cingulate and the medial dorsal nucleus of right thalamus. In ET patients, significant changes in gFCI and gFCD were located in the cuneus, the middle temporal gyrus and the middle frontal gyrus. Changes in gFCI were also found in the medial frontal gyrus and thalamus in addition to changes in gFCD in the precentral gyrus. Our results provided further evidence that ET might present with abnormal spontaneous activity in the tremor network, including motor-related cotex, basal ganglia and thalamus, as well as distributed non-motor areas. This work also demonstrated that FOCA and functional connectivity have the potential to provide important insight into the pathophysiological mechanism of ET.
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Affiliation(s)
- Pu Wang
- Department of Neurology, Chongzhou People's Hospital, Chongzhou, Sichuan, China
| | - Xiangdong Luo
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Chengqing Zhong
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Lili Yang
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Fuqiang Guo
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
| | - Nengwei Yu
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
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15
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Abstract
Pain is a frequent but still neglected nonmotor symptom of Parkinson disease (PD). However, neural mechanisms underlying pain in PD are poorly understood. Here, we explored whether the high prevalence of pain in PD might be related to dysfunctional descending pain control. Using functional magnetic resonance imaging we explored neural responses during the anticipation and processing of heat pain in 21 PD patients (Hoehn and Yahr I-III) and 23 healthy controls (HC). Parkinson disease patients were naive to dopaminergic medication to avoid confounding drug effects. Fifteen heat pain stimuli were applied to the participants' forearm. Intensity and unpleasantness ratings were provided for each stimulus. Subjective pain perception was comparable for PD patients and HC. Neural processing, however, differed between groups: PD patients showed lower activity in several descending pain modulation regions (dorsal anterior cingulate cortex [dACC], subgenual anterior cingulate cortex, and dorsolateral prefrontal cortex [DLPFC]) and lower functional connectivity between dACC and DLPFC during pain anticipation. Parkinson disease symptom severity was negatively correlated with dACC-DLPFC connectivity indicating impaired functional coupling of pain modulatory regions with disease progression. During pain perception PD patients showed higher midcingulate cortex activity compared with HC, which also scaled with PD severity. Interestingly, dACC-DLPFC connectivity during pain anticipation was negatively associated with midcingulate cortex activity during the receipt of pain in PD patients. This study indicates altered neural processing during the anticipation and receipt of experimental pain in drug-naive PD patients. It provides first evidence for a progressive decline in descending pain modulation in PD, which might be related to the high prevalence of pain in later stages of PD.
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16
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Antonini A, Tinazzi M, Abbruzzese G, Berardelli A, Chaudhuri KR, Defazio G, Ferreira J, Martinez-Martin P, Trenkwalder C, Rascol O. Pain in Parkinson's disease: facts and uncertainties. Eur J Neurol 2018. [DOI: 10.1111/ene.13624] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Affiliation(s)
| | | | | | - A. Berardelli
- University of Rome; Rome
- IRCCS NEUROMED; Isernia Italy
| | | | | | | | | | - C. Trenkwalder
- University Medical Center Goettingen; Goettingen Germany
| | - O. Rascol
- Université de Toulouse; Toulouse France
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17
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Hu X, Jiang Y, Jiang X, Zhang J, Liang M, Li J, Zhang Y, Yao D, Luo C, Wang J. Altered Functional Connectivity Density in Subtypes of Parkinson's Disease. Front Hum Neurosci 2017; 11:458. [PMID: 28970788 PMCID: PMC5609108 DOI: 10.3389/fnhum.2017.00458] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 08/30/2017] [Indexed: 02/04/2023] Open
Abstract
Parkinson's disease (PD) can be classified into tremor-dominant and akinetic-rigid subtypes, each of which exhibits a unique clinical course and prognosis. The neural basis for these disparate manifestations is not well-understood, however. This study comprehensively investigated the altered functional connectivity patterns of these two subtypes. Twenty-five tremor-dominant patients, 25 akinetic-rigid patients and 26 normal control subjects participated in this study. Resting-state functional MRI data were analyzed using functional connectivity density (FCD) and seed-based functional connectivity approaches. Correlations between neuroimaging measures and clinical variables were also calculated. Compared with normal control, increased global FCD occurred most extensively in frontal lobe and cerebellum in both subtypes. Compared with akinetic-rigid patients, the tremor-dominant patients showed significantly increased global FCD in the cerebellum and decreased global FCD in portions of the bilateral frontal lobe. Furthermore, different subtypes demonstrated different cerebello-cortical functional connectivity patterns. Moreover, the identified FCD and functional connectivity correlated significantly with clinical variables in the PD patients, and particularly the FCD indices distinguished the different subtypes with high sensitivity (95%) and specificity (80%). These findings indicate that the functional connectivity patterns in the cerebellum and frontal lobe are altered in both subtypes of PD, especially cerebellum are highly related to tremor.
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Affiliation(s)
- Xiaofei Hu
- Department of Radiology, Southwest Hospital, Third Military Medical UniversityChongqing, China
| | - Yuchao Jiang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of ChinaChengdu, China
| | - Xiaomei Jiang
- Department of Centre for Disease Prevention and Control, Chengdu Military RegionChengdu, China
| | - Jiuquan Zhang
- Department of Radiology, Southwest Hospital, Third Military Medical UniversityChongqing, China
| | - Minglong Liang
- Department of Radiology, Southwest Hospital, Third Military Medical UniversityChongqing, China
| | - Jing Li
- Department of Neurology, Southwest Hospital, Third Military Medical UniversityChongqing, China
| | - Yanling Zhang
- Department of Neurology, Southwest Hospital, Third Military Medical UniversityChongqing, China
| | - Dezhong Yao
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of ChinaChengdu, China
| | - Cheng Luo
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of ChinaChengdu, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Third Military Medical UniversityChongqing, China
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18
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Li Q, Chen Y, Wei Y, Chen S, Ma L, He Z, Chen Z. Functional Network Connectivity Patterns between Idiopathic Generalized Epilepsy with Myoclonic and Absence Seizures. Front Comput Neurosci 2017; 11:38. [PMID: 28588471 PMCID: PMC5440462 DOI: 10.3389/fncom.2017.00038] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 05/04/2017] [Indexed: 11/17/2022] Open
Abstract
The extensive cerebral cortex and subcortical structures are considered as the major regions related to the generalized epileptiform discharges in idiopathic generalized epilepsy. However, various clinical syndromes and electroencephalogram (EEG) signs exist across generalized seizures, such as the loss of consciousness during absence seizures (AS) and the jerk of limbs during myoclonic seizures (MS). It is presumed that various functional systems affected by discharges lead to the difference in syndromes of these seizures. Twenty epileptic patients with MS, 21 patients with AS, and 21 healthy controls were recruited in this study. The functional network connectivity was analyzed based on the resting-state functional magnetic resonance imaging scans. The statistical analysis was performed in three groups to assess the difference in the functional brain networks in two types of generalized seizures. Twelve resting-state networks were identified in three groups. Both patient groups showed common abnormalities, including decreased functional connectivity in salience network (SN), cerebellum network, and primary perceptional networks and decreased connection between SN and visual network, compared with healthy controls. Interestingly, the frontal part of high-level cognitive resting-state networks showed increased functional connectivity (FC) in patients with MS, but decreased FC in patients with AS. Moreover, patients with MS showed decreased negative connections between high-level cognitive networks and primary system. The common alteration in both patient groups, including SN, might reflect a similar mechanism associated with the loss of consciousness during generalized seizures. This study provided the evidence of brain network in generalized epilepsy to understand the difference between MS and AS.
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Affiliation(s)
- Qifu Li
- Department of Neurology, First Affiliated Hospital of Hainan Medical UniversityHaikou, China.,Department of Neurology, First Hospital of China Medical UniversityShenyang, China
| | - Yongmin Chen
- Department of Neurology, First Affiliated Hospital of Hainan Medical UniversityHaikou, China
| | - Yong Wei
- Department of Radiology, Maternal and Child Health Care Hospital of Hainan ProvinceHaikou, China
| | - Shengmei Chen
- Department of Neurology, First Affiliated Hospital of Hainan Medical UniversityHaikou, China
| | - Lin Ma
- Department of Neurology, First Affiliated Hospital of Hainan Medical UniversityHaikou, China
| | - Zhiyi He
- Department of Neurology, First Hospital of China Medical UniversityShenyang, China
| | - Zhibin Chen
- Department of Neurology, First Affiliated Hospital of Hainan Medical UniversityHaikou, China
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19
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Huang XF, Zhu MR, Shan P, Pei CH, Liang ZH, Zhou HL, Ni MF, Miao YW, Xu GQ, Zhang BW, Luo YY. Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis. Front Hum Neurosci 2017; 11:235. [PMID: 28539879 PMCID: PMC5423973 DOI: 10.3389/fnhum.2017.00235] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2016] [Accepted: 04/24/2017] [Indexed: 01/28/2023] Open
Abstract
Primary blepharospasm (BPS) is a focal dystonia characterized by involuntary blinking and eyelid spasms. The pathophysiology of BPS remains unclear. Several neuroimaging studies have suggested dysfunction of sensory processing and sensorimotor integration, but the results have been inconsistent. This study aimed to determine whether patients with BPS exhibit altered functional brain connectivity and to explore possible correlations between these networks and clinical variables. Twenty-five patients with BPS and 25 healthy controls were enrolled. We found that the patient group exhibited decreased connectivity within the sensory-motor network (SMN), which involved regions of the bilateral primary sensorimotor cortex, supplementary motor area (SMA), right premotor cortex, bilateral precuneus and left superior parietal cortex. Within the right fronto-parietal network, decreased connections were observed in the middle frontal gyrus, dorsal lateral prefrontal cortex and inferior frontal gyrus. Regarding the salience network (SN), increased connectivity was observed in the left superior frontal gyrus and middle frontal gyrus. These findings suggest the involvement of multiple neural networks in primary BPS.
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Affiliation(s)
- Xiao-Feng Huang
- Department of Neurology and Psychiatry, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Meng-Ru Zhu
- Department of Seven Year System, China Medical UniversityShenyang, China
| | - Ping Shan
- VIP Ward, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Chen-Hui Pei
- Department of Neurology and Psychiatry, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Zhan-Hua Liang
- Department of Neurology and Psychiatry, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Hui-Ling Zhou
- Department of Neurology and Psychiatry, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Ming-Fei Ni
- Department of Image, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Yan-Wei Miao
- Department of Image, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Guo-Qing Xu
- Department of Psychology, Dalian Medical UniversityDalian, China
| | - Bing-Wei Zhang
- Department of Neurology and Psychiatry, First Affiliated Hospital of Dalian Medical UniversityDalian, China
| | - Ya-Yin Luo
- Department of Neurology and Psychiatry, First Affiliated Hospital of Dalian Medical UniversityDalian, China
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20
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Tahmasian M, Eickhoff SB, Giehl K, Schwartz F, Herz DM, Drzezga A, van Eimeren T, Laird AR, Fox PT, Khazaie H, Zarei M, Eggers C, Eickhoff CR. Resting-state functional reorganization in Parkinson's disease: An activation likelihood estimation meta-analysis. Cortex 2017; 92:119-138. [PMID: 28467917 DOI: 10.1016/j.cortex.2017.03.016] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 01/15/2017] [Accepted: 03/31/2017] [Indexed: 12/21/2022]
Abstract
Parkinson's disease (PD) is a common progressive neurodegenerative disorder. Studies using resting-state functional magnetic resonance imaging (fMRI) to investigate underlying pathophysiology of motor and non-motor symptoms in PD yielded largely inconsistent results. This quantitative neuroimaging meta-analysis aims to identify consistent abnormal intrinsic functional patterns in PD across studies. We used PubMed to retrieve suitable resting-state studies and stereotactic data were extracted from 28 individual between-group comparisons. Convergence across their findings was tested using the activation likelihood estimation (ALE) approach. We found convergent evidence for intrinsic functional disturbances in bilateral inferior parietal lobule (IPL) and the supramarginal gyrus in PD patients compared to healthy subjects. In follow-up task-based and task-independent functional connectivity (FC) analyses using two independent healthy subject data sets, we found that the regions showing convergent aberrations in PD formed an interconnected network mainly with the default mode network (DMN). Behavioral characterization of these regions using the BrainMap database suggested associated dysfunction of perception and executive processes. Taken together, our findings highlight the role of parietal cortex in the pathophysiology of PD.
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Affiliation(s)
- Masoud Tahmasian
- Department of Neurology, University Hospital Cologne, Germany; Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.
| | - Simon B Eickhoff
- Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1, INM-7), Research Center Jülich, Jülich, Germany
| | - Kathrin Giehl
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Frank Schwartz
- Department of Neurology, University Hospital Cologne, Germany
| | - Damian M Herz
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Thilo van Eimeren
- Department of Neurology, University Hospital Cologne, Germany; Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Carsten Eggers
- Department of Neurology, University Hospital Cologne, Germany; Department of Neurology, Phillips University Marburg, Germany
| | - Claudia R Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
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