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Chen Z, He C, Zhang P, Cai X, Li X, Huang W, Huang S, Cai M, Wang L, Zhan P, Zhang Y. Brain network centrality and connectivity are associated with clinical subtypes and disease progression in Parkinson's disease. Brain Imaging Behav 2024; 18:646-661. [PMID: 38337128 DOI: 10.1007/s11682-024-00862-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
To investigate brain network centrality and connectivity alterations in different Parkinson's disease (PD) clinical subtypes using resting-state functional magnetic resonance imaging (RS-fMRI), and to explore the correlation between baseline connectivity changes and the clinical progression. Ninety-two PD patients were enrolled at baseline, alongside 38 age- and sex-matched healthy controls. Of these, 85 PD patients underwent longitudinal assessments with a mean of 2.75 ± 0.59 years. Two-step cluster analysis integrating comprehensive motor and non-motor manifestations was performed to define PD subtypes. Degree centrality (DC) and secondary seed-based functional connectivity (FC) were applied to identify brain network centrality and connectivity changes among groups. Regression analysis was used to explore the correlation between baseline connectivity changes and clinical progression. Cluster analysis identified two main PD subtypes: mild PD and moderate PD. Two different subtypes within the mild PD were further identified: mild motor-predominant PD and mild-diffuse PD. Accordingly, the disrupted DC and seed-based FC in the left inferior frontal orbital gyrus and left superior occipital gyrus were severe in moderate PD. The DC and seed-based FC alterations in the right gyrus rectus and right postcentral gyrus were more severe in mild-diffuse PD than in mild motor-predominant PD. Moreover, disrupted DC were associated with clinical manifestations at baseline in patients with PD and predicted motor aspects progression over time. Our study suggested that brain network centrality and connectivity changes were different among PD subtypes. RS-fMRI holds promise to provide an objective assessment of subtype-related connectivity changes and predict disease progression in PD.
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Affiliation(s)
- Zhenzhen Chen
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
- Department of Neurology, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, China
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Chentao He
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Piao Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Xin Cai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Xiaohong Li
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Wenlin Huang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Sifei Huang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Mengfei Cai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lijuan Wang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Peiyan Zhan
- Department of Neurology, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China.
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Samanci B, Tan S, Michielse S, Kuijf ML, Temel Y. The habenula in Parkinson's disease: Anatomy, function, and implications for mood disorders - A narrative review. J Chem Neuroanat 2024; 136:102392. [PMID: 38237746 DOI: 10.1016/j.jchemneu.2024.102392] [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: 12/05/2023] [Revised: 01/07/2024] [Accepted: 01/12/2024] [Indexed: 01/31/2024]
Abstract
Parkinson's disease (PD), a widespread neurodegenerative disorder, often coexists with mood disorders. Degeneration of serotonergic neurons in brainstem raphe nuclei have been linked to depression and anxiety. Additionally, the locus coeruleus and its noradrenergic neurons are among the first areas to degenerate in PD and contribute to stress, emotional memory, motor, sensory, and autonomic symptoms. Another brain region of interest is habenula, which is especially related to anti-reward processing, and its function has recently been linked to PD and to mood-related symptoms. There are several neuroimaging studies that investigated role of the habenula in mood disorders. Differences in habenular size and hemispheric symmetry were found in healthy controls compared to individuals with mood disorders. The lateral habenula, as a link between the dopaminergic and serotonergic systems, is thought to contribute to depressive symptoms in PD. However, there is only one imaging study about role of habenula in mood disorders in PD, although the relationship between PD and mood disorders is known. There is little known about habenula pathology in PD but given these observations, the question arises whether habenular dysfunction could play a role in PD and the development of PD-related mood disorders. In this review, we evaluate neuroimaging techniques and studies that investigated the habenula in the context of PD and mood disorders. Future studies are important to understand habenula's role in PD patients with mood disorders. Thus, new potential diagnostic and treatment opportunities would be found for mood disorders in PD.
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Affiliation(s)
- Bedia Samanci
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
| | - Sonny Tan
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
| | - Stijn Michielse
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands
| | - Mark L Kuijf
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Yasin Temel
- School for Mental Health and Neurosciences, Maastricht University, Maastricht, the Netherlands; Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, the Netherlands
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Zhang T, Yang R, Pan J, Huang S. Parkinson's Disease Related Depression and Anxiety: A 22-Year Bibliometric Analysis (2000-2022). Neuropsychiatr Dis Treat 2023; 19:1477-1489. [PMID: 37404573 PMCID: PMC10317541 DOI: 10.2147/ndt.s403002] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/14/2023] [Indexed: 07/06/2023] Open
Abstract
Background Parkinson's disease (PD) is one of the common neurodegenerative diseases. Depression and anxiety are the most common psychiatric symptoms of PD. It is important to study the potential relationship between PD and depression or anxiety. Aim This study aimed to use bibliometrics to analyze the papers about parkinson's disease related depression and anxiety over the last 22 years, and to characterize the current status of research and predict future hotspots. Methods In the Web of Science Core Collection (WoSCC) from 2000 to 2022, documents are searched according to specific subject words. The selected literature was retrospectively analyzed and mapped using CiteSpace and Vosviewer software. We analyzed countries, institutions, journals, authors, references and keywords. Results A total of 7368 papers were included from 2000 to 2022, and the number of publications has shown an upward trend year by year. Movement Disorder is the journal with the highest number of publications (391 publications, 5.31%) and citations (30,549 times), with the United States (2055 publications, 27.9%) and the University of Toronto (158 publications) being the countries and institutions with the highest number of publications. The high-frequency keywords focused on "quality of life", "deep brain stimulation" and "non-motor symptoms". "Functional connectivity", "gut microbiota" and "inflammation" may be at the forefront of future research. Conclusion Parkinson's disease related depression and anxiety have been increasingly studied over the past 22 years. Functional connectivity, gut microbiota, and inflammation will be the subject of active research hotspots in the future, and these findings may provide new research ideas for researchers.
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Affiliation(s)
- Tong Zhang
- Research and Development Center of Traditional Chinese Medicine, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China
| | - Rui Yang
- Research and Development Center of Traditional Chinese Medicine, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China
| | - Juhua Pan
- Research and Development Center of Traditional Chinese Medicine, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China
| | - Shijing Huang
- Research and Development Center of Traditional Chinese Medicine, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China
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Liu Q, Zhang X. Multimodality neuroimaging in vascular mild cognitive impairment: A narrative review of current evidence. Front Aging Neurosci 2023; 15:1073039. [PMID: 37009448 PMCID: PMC10050753 DOI: 10.3389/fnagi.2023.1073039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/24/2023] [Indexed: 03/17/2023] Open
Abstract
The vascular mild cognitive impairment (VaMCI) is generally accepted as the premonition stage of vascular dementia (VaD). However, most studies are focused mainly on VaD as a diagnosis in patients, thus neglecting the VaMCI stage. VaMCI stage, though, is easily diagnosed by vascular injuries and represents a high-risk period for the future decline of patients’ cognitive functions. The existing studies in China and abroad have found that magnetic resonance imaging technology can provide imaging markers related to the occurrence and development of VaMCI, which is an important tool for detecting the changes in microstructure and function of VaMCI patients. Nevertheless, most of the existing studies evaluate the information of a single modal image. Due to the different imaging principles, the data provided by a single modal image are limited. In contrast, multi-modal magnetic resonance imaging research can provide multiple comprehensive data such as tissue anatomy and function. Here, a narrative review of published articles on multimodality neuroimaging in VaMCI diagnosis was conducted,and the utilization of certain neuroimaging bio-markers in clinical applications was narrated. These markers include evaluation of vascular dysfunction before tissue damages and quantification of the extent of network connectivity disruption. We further provide recommendations for early detection, progress, prompt treatment response of VaMCI, as well as optimization of the personalized treatment plan.
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Affiliation(s)
- Qiuping Liu
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuezhu Zhang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- *Correspondence: Xuezhu Zhang,
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Shi Z, Jiang B, Liu T, Wang L, Pei G, Suo D, Zhang J, Funahashi S, Wu J, Yan T. Individual-level functional connectomes predict the motor symptoms of Parkinson's disease. Cereb Cortex 2023; 33:6282-6290. [PMID: 36627247 DOI: 10.1093/cercor/bhac503] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 01/12/2023] Open
Abstract
Abnormalities in functional connectivity networks are associated with sensorimotor networks in Parkinson's disease (PD) based on group-level mapping studies, but these results are controversial. Using individual-level cortical segmentation to construct individual brain atlases can supplement the individual information covered by group-level cortical segmentation. Functional connectivity analyses at the individual level are helpful for obtaining clinically useful markers and predicting treatment response. Based on the functional connectivity of individualized regions of interest, a support vector regression model was trained to estimate the severity of motor symptoms for each subject, and a correlation analysis between the estimated scores and clinical symptom scores was performed. Forty-six PD patients aged 50-75 years were included from the Parkinson's Progression Markers Initiative database, and 63 PD patients were included from the Beijing Rehabilitation Hospital database. Only patients below Hoehn and Yahr stage III were included. The analysis showed that the severity of motor symptoms could be estimated by the individualized functional connectivity between the visual network and sensorimotor network in early-stage disease. The results reveal individual-level connectivity biomarkers related to motor symptoms and emphasize the importance of individual differences in the prediction of the treatment response of PD.
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Affiliation(s)
- Zhongyan Shi
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Bo Jiang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Tiantian Liu
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Li Wang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Guangying Pei
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Dingjie Suo
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Jian Zhang
- Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Shintaro Funahashi
- Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China
| | - Jinglong Wu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Tianyi Yan
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
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Wang H, Xu J, Yu M, Zhou G, Ren J, Wang Y, Zheng H, Sun Y, Wu J, Liu W. Functional and structural alterations as diagnostic imaging markers for depression in de novo Parkinson's disease. Front Neurosci 2023; 17:1101623. [PMID: 36908791 PMCID: PMC9992430 DOI: 10.3389/fnins.2023.1101623] [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: 11/18/2022] [Accepted: 02/08/2023] [Indexed: 02/24/2023] Open
Abstract
Background Depression in Parkinson's disease (PD) is identified and diagnosed with behavioral observations and neuropsychological measurements. Due to the large overlaps of depression and PD symptoms in clinical manifestations, it is challenging for neurologists to distinguish and diagnose depression in PD (DPD) in the early clinical stage of PD. The advancement in magnetic resonance imaging (MRI) technology provides potential clinical utility in the diagnosis of DPD. This study aimed to explore the alterations of functional and structural MRI in DPD to produce neuroimaging markers in discriminating DPD from non-depressed PD (NDPD) and healthy controls (HC). Methods We recruited 20 DPD, 37 NDPD, and 41 HC matched in age, gender, and education years. The patients' diagnosis with PD was de novo. The differences in regional homogeneity (ReHo), voxel-wise degree centrality (DC), cortical thickness, cortical gray matter (GM) volumes, and subcortical GM volumes among these groups were detected, and the relationship between altered indicators and depression was analyzed. Moreover, the receiver operating characteristic (ROC) analysis was performed to assess the diagnostic efficacy of altered indicators for DPD. Results Compared to NDPD and HC, DPD showed significantly increased ReHo in left dorsolateral superior frontal gyrus (DSFG) and DC in left inferior temporal gyrus (ITG), and decreased GM volumes in left temporal lobe and right Amygdala. Among these altered indicators, ReHo value in left DSFG and DC values in left ITG and left DSFG were significantly correlated with the severity of depression in PD patients. Comparing DPD and NDPD, the ROC analysis revealed a better area under the curve value for the combination of ReHo value in left DSFG and DC value in left ITG, followed by each independent indicator. However, the difference is not statistically significant. Conclusion This study demonstrates that both functional and structural impairments are present in DPD. Among them, ReHo value of left DSFG and DC value of left ITG are equally well suited for the diagnosis and differential diagnosis of DPD, with a combination of them being slightly preferable. The multimodal MRI technique represents a promising approach for the classification of subjects with PD.
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Affiliation(s)
- Hui Wang
- Department of Neurology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, China
| | - Jianxia Xu
- Department of Neurology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China
| | - Miao Yu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Gaiyan Zhou
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jingru Ren
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yajie Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Huifen Zheng
- Department of Neurology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Sun
- International Laboratory of Children Medical Imaging Research, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Jun Wu
- Department of Clinical Laboratory, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Santoro M, Fadda P, Klephan KJ, Hull C, Teismann P, Platt B, Riedel G. Neurochemical, histological, and behavioral profiling of the acute, sub-acute, and chronic MPTP mouse model of Parkinson's disease. J Neurochem 2023; 164:121-142. [PMID: 36184945 PMCID: PMC10098710 DOI: 10.1111/jnc.15699] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/25/2022] [Accepted: 09/30/2022] [Indexed: 02/04/2023]
Abstract
Parkinson's disease (PD) is a heterogeneous multi-systemic disorder unique to humans characterized by motor and non-motor symptoms. Preclinical experimental models of PD present limitations and inconsistent neurochemical, histological, and behavioral readouts. The 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse model of PD is the most common in vivo screening platform for novel drug therapies; nonetheless, behavioral endpoints yielded amongst laboratories are often discordant and inconclusive. In this study, we characterized neurochemically, histologically, and behaviorally three different MPTP mouse models of PD to identify translational traits reminiscent of PD symptomatology. MPTP was intraperitoneally (i.p.) administered in three different regimens: (i) acute-four injections of 20 mg/kg of MPTP every 2 h; (ii) sub-acute-one daily injection of 30 mg/kg of MPTP for 5 consecutive days; and (iii) chronic-one daily injection of 4 mg/kg of MPTP for 28 consecutive days. A series of behavioral tests were conducted to assess motor and non-motor behavioral changes including anxiety, endurance, gait, motor deficits, cognitive impairment, circadian rhythm and food consumption. Impairments in balance and gait were confirmed in the chronic and acute models, respectively, with the latter showing significant correlation with lesion size. The sub-acute model, by contrast, presented with generalized hyperactivity. Both, motor and non-motor changes were identified in the acute and sub-acute regime where habituation to a novel environment was significantly reduced. Moreover, we report increased water and food intake across all three models. Overall, the acute model displayed the most severe lesion size, while across the three models striatal dopamine content (DA) did not correlate with the behavioral performance. The present study demonstrates that detection of behavioral changes following MPTP exposure is challenging and does not correlate with the dopaminergic lesion extent.
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Affiliation(s)
- Matteo Santoro
- Institute of Medical SciencesUniversity of AberdeenAberdeenUK
- Present address:
Department of Neurosurgery, School of MedicineStanford UniversityPalo AltoCaliforniaUSA
| | - Paola Fadda
- Department of NeuroscienceUniversity of CagliariCagliariItaly
| | - Katie J. Klephan
- Newcastle UniversitySchool of Biomedical, Nutritional, and Sport SciencesNewcastle upon TyneUK
- Present address:
AccuRXLondonLondonUK
| | - Claire Hull
- Institute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Peter Teismann
- Institute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Bettina Platt
- Institute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Gernot Riedel
- Institute of Medical SciencesUniversity of AberdeenAberdeenUK
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Jellinger KA. The pathobiological basis of depression in Parkinson disease: challenges and outlooks. J Neural Transm (Vienna) 2022; 129:1397-1418. [PMID: 36322206 PMCID: PMC9628588 DOI: 10.1007/s00702-022-02559-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
Abstract
Depression, with an estimated prevalence of about 40% is a most common neuropsychiatric disorder in Parkinson disease (PD), with a negative impact on quality of life, cognitive impairment and functional disability, yet the underlying neurobiology is poorly understood. Depression in PD (DPD), one of its most common non-motor symptoms, can precede the onset of motor symptoms but can occur at any stage of the disease. Although its diagnosis is based on standard criteria, due to overlap with other symptoms related to PD or to side effects of treatment, depression is frequently underdiagnosed and undertreated. DPD has been related to a variety of pathogenic mechanisms associated with the underlying neurodegenerative process, in particular dysfunction of neurotransmitter systems (dopaminergic, serotonergic and noradrenergic), as well as to disturbances of cortico-limbic, striato-thalamic-prefrontal, mediotemporal-limbic networks, with disruption in the topological organization of functional mood-related, motor and other essential brain network connections due to alterations in the blood-oxygen-level-dependent (BOLD) fluctuations in multiple brain areas. Other hypothetic mechanisms involve neuroinflammation, neuroimmune dysregulation, stress hormones, neurotrophic, toxic or metabolic factors. The pathophysiology and pathogenesis of DPD are multifactorial and complex, and its interactions with genetic factors, age-related changes, cognitive disposition and other co-morbidities awaits further elucidation.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Liu Q, Mao Z, Tan C, Cai S, Shen Q, Wang M, Li J, Zhang L, Zhou F, Song C, Yuan J, Liu Y, Liu J, Liao H. Resting-state brain network in Parkinson’s disease with different degrees of depression. Front Neurosci 2022; 16:931365. [PMID: 36213745 PMCID: PMC9533063 DOI: 10.3389/fnins.2022.931365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/09/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe aim of this study is to explore the neural network mechanism of Parkinson’s disease (PD) with different degrees of depression using independent component analysis (ICA) of the functional connectivity changes in the forehead, limbic system, and basal ganglia regions.MethodsA total of 106 patients with PD were divided into three groups: PD with moderate-severe depression (PDMSD, n = 42), PD with mild depression (PDMD, n = 29), and PD without depression (PDND, n = 35). Fifty gender- and age-matched healthy subjects were recruited as a control group (HC). Three-dimensional T1-weighted image and resting-state functional magnetic resonance imaging (RS-fMRI) data were collected.ResultsDifferent functional connectivity was observed in the left precentral gyrus, right precuneus, right inferior frontal gyrus, right medial and paracingulate gyrus, left supplementary motor area, right brain insula, and the inferior frontal gyrus of the left orbit among the four groups (ANOVA, P < 0.05, Voxel size > 5). Both PDMD and PDMSD exhibited increased functional connectivity in the superior-posterior default-mode network (spDMN) and left frontoparietal network (LFPN); they also exhibited a decreased functional connectivity in the interior Salience Network (inSN) when compared with the PDND group. The functional connectivity within the inSN network was decreased in the PDMSD group when compared with the PDMD group (Alphasim correction, P < 0.05, voxel size > 5).ConclusionPD with different degrees of depression has abnormal functional connectivity in multiple networks, which is an important neurobiological basis for the occurrence and development of depression in PD. The degree of decreased functional connectivity in the inSN network is related to the degree of depression in patients with PD-D, which can be an imaging marker for PD to judge the severity of depression.
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Affiliation(s)
- Qinru Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhenni Mao
- Department of Radiology, The Third Hospital of Changsha, Changsha, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sainan Cai
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qin Shen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Min Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Junli Li
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lin Zhang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Fan Zhou
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chendie Song
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jiaying Yuan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yujing Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
| | - Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
- *Correspondence: Haiyan Liao,
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Wu CC, Xiong HY, Zheng JJ, Wang XQ. Dance movement therapy for neurodegenerative diseases: A systematic review. Front Aging Neurosci 2022; 14:975711. [PMID: 36004000 PMCID: PMC9394857 DOI: 10.3389/fnagi.2022.975711] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe proportion of the world's elderly population continues to rise, and the treatment and improvement of neurodegenerative diseases have become issue of public health importance as people live longer and many countries have aging populations. This systematic review aims to discuss the effects of dance movement therapy (DMT) on motor function, cognitive deficit, mood, and quality of life in people with neurodegenerative diseases, such as Parkinson's disease (PD), mild cognitive impairment (MCI), Alzheimer's disease (AD).MethodsTwo reviewers independently conducted systematic search on the Cochrane library, PubMed database, Web of Science Core Collection database, and Physiotherapy Evidence database until February 1, 2022. Only systematic analyses and randomized controlled trials were included and further analyzed.ResultsThirty-three studies on PD, 16 studies on MCI, 4 studies on AD were obtained. This systematic review found that DMT substantially improved the global cognitive function, memory, and executive function on the population with MCI. Compared with the non-dance group, DMT remarkably improved general disease condition, balance, and gait for individuals with PD. The evidence of the efficacy of DMT on AD is insufficient, and further research is needed.ConclusionDMT can effectively improve the motor function and cognitive deficits in neurodegenerative diseases. Positive effects of DMT on the mood and quality of life in ND patients are controversial and require further evidence. Future research on the effects of DMT on AD requires scientific design, large sample size, long-term comprehensive intervention, and clear reporting standards.Systematic review registrationwww.osf.io/wktez, identifier: 10.17605/OSF.IO/UYBKT.
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Affiliation(s)
- Cheng-Cheng Wu
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Huan-Yu Xiong
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Jie-Jiao Zheng
- Huadong Hospital, Shanghai, China
- *Correspondence: Jie-Jiao Zheng
| | - Xue-Qiang Wang
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
- Department of Rehabilitation Medicine, Shanghai Shangti Orthopaedic Hospital, Shanghai, China
- Xue-Qiang Wang
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11
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Thams F, Külzow N, Flöel A, Antonenko D. Modulation of network centrality and gray matter microstructure using multi-session brain stimulation and memory training. Hum Brain Mapp 2022; 43:3416-3426. [PMID: 35373873 PMCID: PMC9248322 DOI: 10.1002/hbm.25857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/15/2022] [Accepted: 03/24/2022] [Indexed: 11/07/2022] Open
Abstract
Neural mechanisms of behavioral improvement induced by repeated transcranial direct current stimulation (tDCS) combined with cognitive training are yet unclear. Previously, we reported behavioral effects of a 3-day visuospatial memory training with concurrent anodal tDCS over the right temporoparietal cortex in older adults. To investigate intervention-induced neural alterations we here used functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) datasets available from 35 participants of this previous study, acquired before and after the intervention. To delineate changes in whole-brain functional network architecture, we employed eigenvector centrality mapping. Gray matter alterations were analyzed using DTI-derived mean diffusivity (MD). Network centrality in the bilateral posterior temporooccipital cortex was reduced after anodal compared to sham stimulation. This focal effect is indicative of decreased functional connectivity of the brain region underneath the anodal electrode and its left-hemispheric homolog with other "relevant" (i.e., highly connected) brain regions, thereby providing evidence for reorganizational processes within the brain's network architecture. Examining local MD changes in these clusters, an interaction between stimulation condition and training success indicated a decrease of MD in the right (stimulated) temporooccipital cluster in individuals who showed superior behavioral training benefits. Using a data-driven whole-brain network approach, we provide evidence for targeted neuromodulatory effects of a combined tDCS-and-training intervention. We show for the first time that gray matter alterations of microstructure (assessed by DTI-derived MD) may be involved in tDCS-enhanced cognitive training. Increased knowledge on how combined interventions modulate neural networks in older adults, will help the development of specific therapeutic interventions against age-associated cognitive decline.
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Affiliation(s)
- Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Nadine Külzow
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Neurological Rehabilitation Clinic, Kliniken Beelitz GmbH, Beelitz, Germany
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
| | - Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
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12
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The altered multiscale dynamics of spontaneous brain activity in depression with Parkinson’s disease. Neurol Sci 2022; 43:4211-4219. [PMID: 35237895 PMCID: PMC9213374 DOI: 10.1007/s10072-022-05974-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 02/21/2022] [Indexed: 11/01/2022]
Abstract
Abstract
Background
Depression is one typical mood disorder in Parkinson’s disease (DPD). The alterations in the resting-state brain activities are believed to be associated with DPD. These resting-state activities are regulated by neurophysiological components over multiple temporal scales. The multiscale dynamics of these spontaneous fluctuations are thus complex, but not well-characterized.
Objective
To characterize the complexity of the spontaneous blood-oxygen-level-dependent (BOLD) of fMRI in DPD. We hypothesized that (1) compared to non-depression PD (NDPD), the complexity in DPD would be lower; and (2) the diminished complexity would be associated with lower connections/communications between brain regions.
Methods
Twenty-nine participants (10 in DPD and 19 in NDPD) who were naïve to medications completed a resting-sate functional MRI scan. The BOLD complexity within each voxel was calculated by using multiscale entropy (MSE). The complexity of the whole brain and each of the 90 regions parcellated following automated-anatomical-labeling template was then obtained by averaging voxel-wised complexity across all brain regions or within each region. The level of connections of regions with diminished complexity was measured by their own global functional connectivity (FC).
Results
As compared to NDPD patients, the whole-brain complexity and complexity in 18 regions were significantly lower in DPD (F > 16.3, p < 0.0005). Particularly, in eight of the 18 regions, lower complexity was associated with lower global FC (Beta = 0.333 ~ 0.611, p = 0.000 ~ 0.030).
Conclusion
The results from this pilot study suggest that the resting-state BOLD complexity may provide critical knowledge into the pathology of DPD. Future studies are thus warranted to confirm the findings of this study.
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13
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Kulkarni AS, Burns MR, Brundin P, Wesson DW. Linking α-synuclein-induced synaptopathy and neural network dysfunction in early Parkinson's disease. Brain Commun 2022; 4:fcac165. [PMID: 35822101 PMCID: PMC9272065 DOI: 10.1093/braincomms/fcac165] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/11/2022] [Accepted: 06/20/2022] [Indexed: 01/18/2023] Open
Abstract
The prodromal phase of Parkinson's disease is characterized by aggregation of the misfolded pathogenic protein α-synuclein in select neural centres, co-occurring with non-motor symptoms including sensory and cognitive loss, and emotional disturbances. It is unclear whether neuronal loss is significant during the prodrome. Underlying these symptoms are synaptic impairments and aberrant neural network activity. However, the relationships between synaptic defects and network-level perturbations are not established. In experimental models, pathological α-synuclein not only impacts neurotransmission at the synaptic level, but also leads to changes in brain network-level oscillatory dynamics-both of which likely contribute to non-motor deficits observed in Parkinson's disease. Here we draw upon research from both human subjects and experimental models to propose a 'synapse to network prodrome cascade' wherein before overt cell death, pathological α-synuclein induces synaptic loss and contributes to aberrant network activity, which then gives rise to prodromal symptomology. As the disease progresses, abnormal patterns of neural activity ultimately lead to neuronal loss and clinical progression of disease. Finally, we outline goals and research needed to unravel the basis of functional impairments in Parkinson's disease and other α-synucleinopathies.
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Affiliation(s)
- Aishwarya S Kulkarni
- Department of Pharmacology & Therapeutics, University of Florida, 1200 Newell Dr, Gainesville, FL 32610, USA
| | - Matthew R Burns
- Department of Neurology, University of Florida, 1200 Newell Dr, Gainesville, FL 32610, USA
- Norman Fixel Institute for Neurological Disorders, University of Florida, 1200 Newell Dr, Gainesville, FL 32610, USA
| | - Patrik Brundin
- Pharma Research and Early Development (pRED), F. Hoffman-La Roche, Little Falls, NJ, USA
| | - Daniel W Wesson
- Department of Pharmacology & Therapeutics, University of Florida, 1200 Newell Dr, Gainesville, FL 32610, USA
- Norman Fixel Institute for Neurological Disorders, University of Florida, 1200 Newell Dr, Gainesville, FL 32610, USA
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14
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Zhang Y, Wang K, Yu W, Guo X, Wen J, Luo Y. Minimal EEG channel selection for depression detection with connectivity features during sleep. Comput Biol Med 2022; 147:105690. [DOI: 10.1016/j.compbiomed.2022.105690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/29/2022] [Accepted: 05/31/2022] [Indexed: 11/30/2022]
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15
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Prange S, Klinger H, Laurencin C, Danaila T, Thobois S. Depression in Patients with Parkinson's Disease: Current Understanding of its Neurobiology and Implications for Treatment. Drugs Aging 2022; 39:417-439. [PMID: 35705848 PMCID: PMC9200562 DOI: 10.1007/s40266-022-00942-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2022] [Indexed: 12/11/2022]
Abstract
Depression is one of the most frequent and burdensome non-motor symptoms in Parkinson’s disease (PD), across all stages. Even when its severity is mild, PD depression has a great impact on quality of life for these patients and their caregivers. Accordingly, accurate diagnosis, supported by validated scales, identification of risk factors, and recognition of motor and non-motor symptoms comorbid to depression are critical to understanding the neurobiology of depression, which in turn determines the effectiveness of dopaminergic drugs, antidepressants and non-pharmacological interventions. Recent advances using in vivo functional and structural imaging demonstrate that PD depression is underpinned by dysfunction of limbic networks and monoaminergic systems, depending on the stage of PD and its associated symptoms, including apathy, anxiety, rapid eye movement sleep behavior disorder (RBD), cognitive impairment and dementia. In particular, the evolution of serotonergic, noradrenergic, and dopaminergic dysfunction and abnormalities of limbic circuits across time, involving the anterior cingulate and orbitofrontal cortices, amygdala, thalamus and ventral striatum, help to delineate the variable expression of depression in patients with prodromal, early and advanced PD. Evidence is accumulating to support the use of dual serotonin and noradrenaline reuptake inhibitors (desipramine, nortriptyline, venlafaxine) in patients with PD and moderate to severe depression, while selective serotonin reuptake inhibitors, repetitive transcranial magnetic stimulation and cognitive behavioral therapy may also be considered. In all patients, recent findings advocate that optimization of dopamine replacement therapy and evaluation of deep brain stimulation of the subthalamic nucleus to improve motor symptoms represents an important first step, in addition to physical activity. Overall, this review indicates that increasing understanding of neurobiological changes help to implement a roadmap of tailored interventions for patients with PD and depression, depending on the stage and comorbid symptoms underlying PD subtypes and their prognosis.
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Affiliation(s)
- Stéphane Prange
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France
| | - Chloé Laurencin
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Teodor Danaila
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Stéphane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Faculté de Médecine et de Maïeutique Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon 1, Oullins, France.
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16
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Mueller K, Růžička F, Slovák M, Forejtová Z, Dušek P, Dušek P, Jech R, Serranová T. Symptom-severity-related brain connectivity alterations in functional movement disorders. Neuroimage Clin 2022; 34:102981. [PMID: 35287089 PMCID: PMC8921488 DOI: 10.1016/j.nicl.2022.102981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 01/21/2023]
Abstract
Brain connectivity alterations were found in functional movement disorders. Hyperconnectivity in temporoparietal junction and precuneus in functional weakness. Consistent brain connectivity differences with four different centrality measures. Motor symptom severity correlates positively with connectivity in functional weakness.
Background Functional movement disorders, a common cause of neurological disabilities, can occur with heterogeneous motor manifestations including functional weakness. However, the underlying mechanisms related to brain function and connectivity are unknown. Objective To identify brain connectivity alterations related to functional weakness we assessed network centrality changes in a group of patients with heterogeneous motor manifestations using task-free functional MRI in combination with different network centrality approaches. Methods Task-free functional MRI was performed in 48 patients with heterogeneous motor manifestations including 28 patients showing functional weakness and 65 age- and sex-matched healthy controls. Functional connectivity differences were assessed using different network centrality approaches, i.e. global correlation, eigenvector centrality, and intrinsic connectivity. Motor symptom severity was assessed using The Simplified Functional Movement Disorders Rating Scale and correlated with network centrality. Results Comparing patients with and without functional weakness showed significant network centrality differences in the left temporoparietal junction and precuneus. Patients with functional weakness showed increased centrality in the same anatomical regions when comparing functional weakness with healthy controls. Moreover, in the same regions, patients with functional weakness showed a positive correlation between motor symptom severity and network centrality. This correlation was shown to be specific to functional weakness with an interaction analysis, confirming a significant difference between patients with and without functional weakness. Conclusions We identified the temporoparietal junction and precuneus as key regions involved in brain connectivity alterations related to functional weakness. We propose that both regions may be promising targets for phenotype-specific non-invasive brain stimulation.
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Affiliation(s)
- Karsten Mueller
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Filip Růžička
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Matěj Slovák
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Zuzana Forejtová
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Pavel Dušek
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Robert Jech
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Tereza Serranová
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic.
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17
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Bai Y, Diao Y, Gan L, Zhuo Z, Yin Z, Hu T, Cheng D, Xie H, Wu D, Fan H, Zhang Q, Duan Y, Meng F, Liu Y, Jiang Y, Zhang J. Deep Brain Stimulation Modulates Multiple Abnormal Resting-State Network Connectivity in Patients With Parkinson’s Disease. Front Aging Neurosci 2022; 14:794987. [PMID: 35386115 PMCID: PMC8978802 DOI: 10.3389/fnagi.2022.794987] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/08/2022] [Indexed: 12/12/2022] Open
Abstract
Background Deep brain stimulation (DBS) improves motor and non-motor symptoms in patients with Parkinson’s disease (PD). Researchers mainly investigated the motor networks to reveal DBS mechanisms, with few studies extending to other networks. This study aimed to investigate multi-network modulation patterns using DBS in patients with PD. Methods Twenty-four patients with PD underwent 1.5 T functional MRI (fMRI) scans in both DBS-on and DBS-off states, with twenty-seven age-matched healthy controls (HCs). Default mode, sensorimotor, salience, and left and right frontoparietal networks were identified by using the independent component analysis. Power spectra and functional connectivity of these networks were calculated. In addition, multiregional connectivity was established from 15 selected regions extracted from the abovementioned networks. Comparisons were made among groups. Finally, correlation analyses were performed between the connectivity changes and symptom improvements. Results Compared with HCs, PD-off showed abnormal power spectra and functional connectivity both within and among these networks. Some of the abovementioned abnormalities could be corrected by DBS, including increasing the power spectra in the sensorimotor network and modulating the parts of the ipsilateral functional connectivity in different regions centered in the frontoparietal network. Moreover, the DBS-induced functional connectivity changes were correlated with motor and depression improvements in patients with PD. Conclusion DBS modulated the abnormalities in multi-networks. The functional connectivity alterations were associated with motor and psychiatric improvements in PD. This study lays the foundation for large-scale brain network research on multi-network DBS modulation.
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Affiliation(s)
- Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Diao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lu Gan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tianqi Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dan Cheng
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hutao Xie
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Delong Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Houyou Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Quan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fangang Meng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Yaou Liu,
| | - Yin Jiang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing, China
- Yin Jiang,
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing, China
- Beijing Key Laboratory of Neurostimulation, Beijing, China
- Jianguo Zhang,
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18
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Chen MJ, Huang R, Liang RB, Pan YC, Shu HY, Liao XL, Xu SH, Ying P, Kang M, Zhang LJ, Ge QM, Shao Y. Abnormal Intrinsic Functional Hubs in Corneal Ulcer: Evidence from a Voxel-Wise Degree Centrality Analysis. J Clin Med 2022; 11:jcm11061478. [PMID: 35329804 PMCID: PMC8949159 DOI: 10.3390/jcm11061478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/08/2022] [Accepted: 02/24/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Numerous anterior neuroimaging researches have revealed that corneal ulcers (CU) are related to changes in cerebral anatomic structure and functional area. Nonetheless, functional characteristics of the brain's network organization still show no definite research results. The study was designed to confirm CU-associated spatial centrality distribution functional network of the whole cerebrum and explore the mechanism through which the larvaceous changed the intrinsic functional hubs. MATERIAL AND METHODS In this study, 40 patients with CU and 40 normal controls (matched in sex, age, and education level) were enrolled in this study to undergo resting-state functional magnetic resonance imaging (fMRI) scans. The differences between the groups were determined by measuring the voxel-wise degree centrality (DC) throughout the whole cerebrum. For the purpose of assessing the correlation between abnormal DC value and clinical variables, the Linear correlation analysis was used. RESULTS Compared with normal controls (NCs), CU patients revealed high DC values in the frontal lobe, precuneus, inferior parietal lobule, posterior cingulate, occipital lobe, and temporal lobe in the brain functional connectivity maps throughout the brain. The intergroup differences also had high similarity on account of different thresholds. In addition, DC values were positively related to the duration of CU in the left middle frontal gyrus. CONCLUSIONS The experimental results revealed that patients with CU showed spatially unnatural intrinsic functional hubs whether DC values increased or decreased. This brings us to a new level of comprehending the functional features of CU and may offer useful information to make us obtain a clear understanding of the dysfunction of CU.
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Xu J, Yu M, Wang H, Li Y, Li L, Ren J, Pan C, Liu W. Altered Dynamic Functional Connectivity in de novo Parkinson’s Disease Patients With Depression. Front Aging Neurosci 2022; 13:789785. [PMID: 35237143 PMCID: PMC8882994 DOI: 10.3389/fnagi.2021.789785] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/31/2021] [Indexed: 11/13/2022] Open
Abstract
BackgroundDepression is one of the most prevalent and disturbing non-motor symptoms in Parkinson’s disease (PD), with few dynamic functional connectivity (dFC) features measured in previous studies. Our aim was to investigate the alterations of the dynamics in de novo patients with PD with depression (dPD).MethodsWe performed dFC analysis on the data of resting-state functional MRI from 21 de novo dPD, 34 de novo patients with PD without depression (ndPD), and 43 healthy controls (HCs). Group independent component analysis, a sliding window approach, followed by k-means clustering were conducted to assess functional connectivity states (which represented highly structured connectivity patterns reoccurring over time) and temporal properties for comparison between groups. We further performed dynamic graph-theoretical analysis to examine the variability of topological metrics.ResultsFour distinct functional connectivity states were clustered via dFC analysis. Compared to patients with ndPD and HCs, patients with dPD showed increased fractional time and mean dwell time in state 2, characterized by default mode network (DMN)-dominated and cognitive executive network (CEN)-disconnected patterns. Besides, compared to HCs, patients with dPD and patients with ndPD both showed weaker dynamic connectivity within the sensorimotor network (SMN) in state 4, a regionally densely connected state. We additionally observed that patients with dPD presented less variability in the local efficiency of the network.ConclusionsOur study demonstrated that altered network connection over time, mainly involving the DMN and CEN, with abnormal dynamic graph properties, may contribute to the presence of depression in patients with PD.
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Affiliation(s)
- Jianxia Xu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Miao Yu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Department of Neurology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang, China
| | - Yuqian Li
- Department of Neurology, Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Lanting Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jingru Ren
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chenxi Pan
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Weiguo Liu,
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20
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Tang C, Zhang Y, Zhai Z, Zhu X, Wang C, Yang G. Mechanism of Depression through Brain Function Imaging of Depression Patients and Normal People. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:1125049. [PMID: 35047144 PMCID: PMC8763528 DOI: 10.1155/2022/1125049] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/15/2021] [Accepted: 11/25/2021] [Indexed: 01/10/2023]
Abstract
In recent years, functional magnetic resonance technology has discovered that abnormal connections in different brain regions of the brain may serve as the pathophysiological mechanism of mental illness. Exploring the mechanism of information flow and integration between different brain regions is of great significance for understanding the pathophysiological mechanism of mental illness. This article aims to analyze the mechanism of depression by comparing human brain images of normal people and patients with depression and conduct research. Fluoxetine, a selective 5-HT reuptake inhibitor (SSRI) widely used in clinical practice, can selectively inhibit 5-HT transporter and block the reuptake of 5-HT by the presynaptic membrane. The effect of 5-HT is prolonged and increased, thereby producing antidepressant effects. It has low affinity for adrenergic, histaminergic, and cholinergic receptors and has a weaker effect, resulting in fewer adverse reactions. This paper uses the comparative experiment method and the Welch method and uses the average shortest path length L to describe the average value of the shortest path length between two nodes in the network. Attention refers to the ability of a person's mental activity to point and to concentrate on something. Sustained attention means that attention is kept on a certain cognitive object or activity for a certain period of time, which is also called the stability of attention. The research on attention of depression patients generally focuses on continuous attention, and the results obtained show inconsistencies. Most studies have shown that the sustained attention of the depression group is significantly worse than that of the healthy control group. An overview of magnetic resonance imaging technology and an analysis of depression based on resting state were carried out. The key brain areas of the sample core network were scanned, and the ALFF results were analyzed. The data showed that the severity of depression in the depression group was negatively correlated with the ReHo value in the posterior left cerebellum (P=0.010). The sense of despair was negatively correlated with the ReHo value in the posterior right cerebellum (P=0.013). The diurnal variation was negatively correlated with the ReHo value of the left ring (P=0.014). It was positively correlated with the ReHo value of the left ventricle (P=0.048). This experiment has better completed the research on the mechanism of depression by analyzing the functional images of patients with depression and normal human brain.
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Affiliation(s)
- Chaozhi Tang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China
| | - Yuling Zhang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China
| | - Zihan Zhai
- College of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China
| | - Xiaofeng Zhu
- College of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China
| | - Chaowei Wang
- Department of Neurology, The First Affiliated Hospital of Xinxiang Medical College, Xinxiang 453100, Henan, China
| | - Ganggang Yang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, Henan, China
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21
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Diez-Cirarda M, Gabilondo I, Ibarretxe-Bilbao N, Gómez-Esteban JC, Kim J, Lucas-Jiménez O, Del Pino R, Peña J, Ojeda N, Mihaescu A, Valli M, Acera MA, Cabrera-Zubizarreta A, Gómez-Beldarrain MA, Strafella AP. Contributions of sex, depression, and cognition on brain connectivity dynamics in Parkinson's disease. NPJ Parkinsons Dis 2021; 7:117. [PMID: 34916518 PMCID: PMC8677758 DOI: 10.1038/s41531-021-00257-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 11/19/2021] [Indexed: 01/09/2023] Open
Abstract
Alterations in time-varying functional connectivity (FC) have been found in Parkinson's disease (PD) patients. To date, very little is known about the influence of sex on brain FC in PD patients and how this could be related to disease severity. The first objective was to evaluate the influence of sex on dynamic FC characteristics in PD patients and healthy controls (HC), while the second aim was to investigate the temporal patterns of dynamic connectivity related to PD motor and non-motor symptoms. Ninety-nine PD patients and sixty-two HC underwent a neuropsychological and clinical assessment. Rs-fMRI and T1-weighted MRI were also acquired. Dynamic FC analyses were performed in the GIFT toolbox. Dynamic FC analyses identified two States: State I, characterized by within-network positive coupling; and State II that showed between-network connectivity, mostly involving somatomotor and visual networks. Sex differences were found in dynamic indexes in HC but these differences were not observed in PD. Hierarchical clustering analysis identified three phenotypically distinct PD subgroups: (1) Subgroup A was characterized by mild motor symptoms; (2) Subgroup B was characterized by depressive and motor symptoms; (3) Subgroup C was characterized by cognitive and motor symptoms. Results revealed that changes in the temporal properties of connectivity were related to the motor/non-motor outcomes of PD severity. Findings suggest that while in HC sex differences may play a certain role in dynamic connectivity patterns, in PD patients, these effects may be overcome by the neurodegenerative process. Changes in the temporal properties of connectivity in PD were mainly related to the clinical markers of PD severity.
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Affiliation(s)
- Maria Diez-Cirarda
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.
- E.J. Safra Parkinson Disease Program & Movement Disorder Unit, Neurology Division; Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada.
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain.
| | - Iñigo Gabilondo
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- IKERBASQUE, The Basque Foundation for Science, Bilbao, Spain
| | - Naroa Ibarretxe-Bilbao
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Juan Carlos Gómez-Esteban
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- Neurology Department, Cruces University Hospital, Barakaldo, Spain
| | - Jinhee Kim
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
- E.J. Safra Parkinson Disease Program & Movement Disorder Unit, Neurology Division; Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Olaia Lucas-Jiménez
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Rocio Del Pino
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Javier Peña
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Natalia Ojeda
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Alexander Mihaescu
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
- E.J. Safra Parkinson Disease Program & Movement Disorder Unit, Neurology Division; Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Mikaeel Valli
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
- E.J. Safra Parkinson Disease Program & Movement Disorder Unit, Neurology Division; Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Maria Angeles Acera
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | | | | | - Antonio P Strafella
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.
- E.J. Safra Parkinson Disease Program & Movement Disorder Unit, Neurology Division; Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada.
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22
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Shen Q, Liu Y, Guo J, Zhang H, Xiang Y, Liao H, Cai S, Zhou B, Wang M, Liu S, Yi J, Zhang Z, Tan C. Impaired white matter microstructure associated with severe depressive symptoms in patients with PD. Brain Imaging Behav 2021; 16:169-175. [PMID: 34410611 DOI: 10.1007/s11682-021-00488-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2021] [Indexed: 11/29/2022]
Abstract
Depression is a common occurrence in patients with Parkinson's disease (PD); however, its pathophysiology is still unclear. This study assessed the association between the integrity of white matter and depressive symptoms in patients with PD. 67 patients with PD were divided into a non-depressed PD group (ndPD, n = 30) and a depressed PD group (dPD, n = 37). The dPD group was further subdivided into a mild-moderately depressed PD (mdPD, n = 22) and a severely depressed PD group (sdPD, n = 15). Tract-Based Spatial Statistics was used to compare fractional anisotropy (FA) between groups. Region-of-interest analysis was used to explore changes in diffusivity indices in the regions showing FA abnormalities. The sdPD patients exhibited significantly reduced FA in the left superior longitudinal fasciculus, uncinate fasciculus, anterior corona radiata, corticospinal tract, and bilateral inferior fronto-occipital fasciculus when compared with the ndPD patients, but the decreased FA was within a smaller area when compared with the mdPD patients. No significant difference in FA was found between the mdPD and ndPD groups. Among the dPD patients, FA values in the left superior longitudinal fasciculus negatively correlated with BDI scores. Impaired white matter integrity in the prefronto-limbic/temporal circuitry, mainly in the left hemisphere, is associated with severe, but not mild-moderate depressive symptoms in patients with PD.
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Affiliation(s)
- Qin Shen
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Yawu Liu
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Jie Guo
- National Institution of Drug Clinical Trial, Xiangya Hospital, Central South University, Changsha, China
| | - Hongchun Zhang
- Department of Radiology, the First Affiliated Hospital, University of Science and Technology of China, Hefei, China
| | - Yijuan Xiang
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Haiyan Liao
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Sainan Cai
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Bing Zhou
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Min Wang
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Siyu Liu
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Jinyao Yi
- Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Zishu Zhang
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Changlian Tan
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China.
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23
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Structural network topology and microstructural alterations of the anterior insula associate with cognitive and affective impairment in Parkinson's disease. Sci Rep 2021; 11:16021. [PMID: 34362996 PMCID: PMC8346470 DOI: 10.1038/s41598-021-95638-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 07/27/2021] [Indexed: 11/08/2022] Open
Abstract
The aim of the current study was to assess the structural centrality and microstructural integrity of the cortical hubs of the salience network, the anterior insular cortex (AIC) subregions and anterior cingulate cortex (ACC), and their relationship to cognitive and affective impairment in PD. MRI of 53 PD patients and 15 age-matched controls included 3D-T1 for anatomical registration, and diffusion tensor imaging for probabilistic tractography. Network topological measures of eigenvector and betweenness centrality were calculated for ventral (vAI) and dorsal (dAI) AIC. Microstructural tract integrity between vAI, dAI and the ACC was quantified with fractional anisotrophy (FA) and mean diffusivity (MD). Structural integrity and connectivity were related to cognitive and affective scores. The dAI had significantly higher eigenvector centrality in PD than controls (p < 0.01), associated with higher depression scores (left dAI only, rs = 0.28, p < 0.05). Tracts between dAI and ACC showed lower FA and higher MD in PD (p < 0.05), and associated with lower semantic fluency, working memory and executive functioning, and higher anxiety scores (range 0.002 < p < 0.05). This study provides evidence for clinically relevant structural damage to the cortical hubs of the salience network in PD, possibly due to extensive local neuropathology and loss of interconnecting AIC-ACC tracts.
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24
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Altered brain network centrality in patients with mild cognitive impairment: an fMRI study using a voxel-wise degree centrality approach. Aging (Albany NY) 2021; 13:15491-15500. [PMID: 34106878 PMCID: PMC8221306 DOI: 10.18632/aging.203105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 05/14/2021] [Indexed: 01/29/2023]
Abstract
PURPOSE Previous studies in patients with Alzheimer's disease have shown amyloid beta accumulation in the brain and abnormal brain activity, with mild cognitive impairment (MCI) in early stages of the disease. The aim of the current study was to investigate functional connectivity in patients with MCI. METHODS We recruited 24 subjects in total, including 12 patients with MCI (6 men and 6 women) and 12 healthy controls (HCs) (6 men and 6 women), matched for age, gender, and lifestyle factors. All subjects underwent resting-state functional magnetic resonance imaging scans and voxel-wise degree centrality (DC) was used to evaluate alterations in the strength of brain network connectivity. RESULTS The DC value of the left inferior temporal gyrus was lower in MCI but significantly higher in the right fusiform gyrus and the left supplementary motor area, compared with HCs. The DC value in left inferior temporal gyrus correlated positively with disease duration and negatively with Mini-Mental State Examination. ROC curve analysis of brain regions showed acceptable specificity and accuracy of DC values between MCIs and HCs in the area under the curve (right fusiform gyrus, 0.955; left supplementary motor area, 0.992; left inferior temporal gyrus, 1.000). CONCLUSIONS Abnormal functional connectivity in brain regions of patients with MCI may reflect the pathological process of Alzheimer's disease development and could prove useful in clinical diagnosis and treatment.
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25
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Tinaz S. Functional Connectome in Parkinson's Disease and Parkinsonism. Curr Neurol Neurosci Rep 2021; 21:24. [PMID: 33817766 DOI: 10.1007/s11910-021-01111-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE OF REVIEW There has been an exponential growth in functional connectomics research in neurodegenerative disorders. This review summarizes the recent findings and limitations of the field in Parkinson's disease (PD) and atypical parkinsonian syndromes. RECENT FINDINGS Increasingly more sophisticated methods ranging from seed-based to network and whole-brain dynamic functional connectivity have been used. Results regarding the disruption in the functional connectome vary considerably based on disease severity and phenotypes, and treatment status in PD. Non-motor symptoms of PD also link to the dysfunction in heterogeneous networks. Studies in atypical parkinsonian syndromes are relatively scarce. An important clinical goal of functional connectomics in neurodegenerative disorders is to establish the presence of pathology, track disease progression, predict outcomes, and monitor treatment response. The obstacles of reliability and reproducibility in the field need to be addressed to improve the potential of the functional connectome as a biomarker for these purposes in PD and atypical parkinsonian syndromes.
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Affiliation(s)
- Sule Tinaz
- Department of Neurology, Division of Movement Disorders, Yale University School of Medicine, 15 York St, LCI 710, New Haven, CT, 06510, USA.
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26
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Liao H, Yi J, Cai S, Shen Q, Liu Q, Zhang L, Li J, Mao Z, Wang T, Zi Y, Wang M, Liu S, Liu J, Wang C, Zhu X, Tan C. Changes in Degree Centrality of Network Nodes in Different Frequency Bands in Parkinson's Disease With Depression and Without Depression. Front Neurosci 2021; 15:638554. [PMID: 33828449 PMCID: PMC8019799 DOI: 10.3389/fnins.2021.638554] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/22/2021] [Indexed: 11/13/2022] Open
Abstract
Background Depression induces an early onset of Parkinson’s disease (PD), aggravates dyskinesia and cognitive impairment, and accelerates disease progression. However, it is very difficult to identify and diagnose PD with depression (PDD) in the early clinical stage. Few studies have suggested that the changes in neural networks are associated with PDD, while degree centrality (DC) has been documented to be effective in detecting brain network changes. Objectives The objectives of this study are to explore DC changes between patients with PDD and without depression (PDND) and to find the key brain hubs involved with depression in PD patients. Methods One hundred and four PD patients and 54 healthy controls (HCs) underwent brain resting-state functional magnetic resonance imaging. The Data Processing and Analysis of Brain Imaging and Resting-State Functional Magnetic Resonance Data Analysis Toolkit were used for processing and statistical analysis. The DC value of each frequency band was calculated. One-way analysis of variance and a two-sample t-test for post hoc comparison were used to compare the differences of the DC values in different frequency bands among PDD, PDND, and healthy control group. Gaussian random field was used for multiple comparison correction. Pearson correlation analysis was performed between each individual’s DC map and clinical indicators. Results The DC value of different brain regions changed in PDD and PDND in different frequency bands. The prefrontal lobe, limbic system, and basal ganglia were the main brain regions involved. PDD patients showed a wider range and more abnormal brain areas in the slow-4 frequency band (0.027–0.073 Hz) compared to the HCs. PDD showed a decreased DC value in the medial frontal gyrus, bilateral cuneus gyrus, right lingual gyrus, bilateral supplementary motor area (SMA), bilateral superior frontal gyrus, and left paracentral lobule, but an increased DC value in the bilateral brainstem, midbrain, bilateral parahippocampal gyrus, cerebellum, left superior temporal gyrus, bilateral insula, left fusiform gyrus, and left caudate nucleus in the traditional frequency band (0.01–0.08 Hz) compared to PDND patients. PDND patients displayed more abnormal functions in the basal ganglia in the slow-4 frequency band. Conclusion The DC changes in PDD and PDND are frequency dependent and frequency specific. The medial frontal gyrus, SMA, and limbic system may be the key hubs for depression in PD.
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Affiliation(s)
- Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinyao Yi
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sainan Cai
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qin Shen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qinru Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lin Zhang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Junli Li
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhenni Mao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Tianyu Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuheng Zi
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Min Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Siyu Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chunyu Wang
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
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27
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Tinaz S, Kamel S, Aravala SS, Sezgin M, Elfil M, Sinha R. Distinct neural circuits are associated with subclinical neuropsychiatric symptoms in Parkinson's disease. J Neurol Sci 2021; 423:117365. [PMID: 33636663 DOI: 10.1016/j.jns.2021.117365] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 01/24/2021] [Accepted: 02/18/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Parkinson's disease (PD) can present with neuropsychiatric symptoms (here, anxiety, depression, and apathy) at any stage of the disease. We investigated the neural correlates of subclinical neuropsychiatric symptoms in relation to motor and cognitive symptoms in a high-functioning PD cohort. METHODS Brain morphometry of the cognitively intact, early-stage (Hoehn & Yahr 2) PD group (n = 48) was compared to matched controls (n = 37). Whole-brain, pairwise, resting-state functional connectivity measures were correlated with neuropsychiatric symptom, motor exam, and global cognitive scores of the PD group. RESULTS Factor analysis of highly collinear anxiety, depression, and apathy scores revealed a single principal component (i.e., composite neuropsychiatric symptom score) explaining 71.6% of variance. There was no collinearity between the neuropsychiatric, motor, and cognitive scores. Compared to controls, PD group showed only subcortical changes including amygdala and nucleus accumbens atrophy, and greater pallidal volume. Reduced functional connectivity in the limbic cortical-striatal circuits and increased functional connectivity between the cerebellum and occipito-temporal regions were associated with a more impaired neuropsychiatric profile. This functional connectivity pattern was distinct from those associated with motor deficits and global cognitive functioning. The individual components of the neuropsychiatric symptoms also exhibited unique connectivity patterns. LIMITATIONS Patients were scanned in "on-medication" state only and a control group with similar neuropsychiatric symptoms was not included. CONCLUSION Abnormal functional connectivity of distinct neural circuits is present even at the subclinical stage of neuropsychiatric symptoms in PD. Neuropsychiatric phenotyping is important and may facilitate early interventions to "reorganize" these circuits and delay/prevent clinical symptom onset.
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Affiliation(s)
- Sule Tinaz
- Yale University School of Medicine, Department of Neurology, Division of Movement Disorders, 15 York St, LCI 710, New Haven, CT 06510, USA; Yale University School of Medicine, Clinical Neurosciences Imaging Center, 789 Howard Ave, New Haven, CT 06519, USA.
| | - Serageldin Kamel
- Yale University School of Medicine, Department of Neurology, Division of Movement Disorders, 15 York St, LCI 710, New Haven, CT 06510, USA
| | - Sai S Aravala
- Yale University School of Medicine, Department of Neurology, Division of Movement Disorders, 15 York St, LCI 710, New Haven, CT 06510, USA
| | - Mine Sezgin
- Yale University School of Medicine, Department of Neurology, Division of Movement Disorders, 15 York St, LCI 710, New Haven, CT 06510, USA; Istanbul University Faculty of Medicine, Department of Neurology, Millet Street, Fatih, Istanbul 34093, Turkey
| | - Mohamed Elfil
- Yale University School of Medicine, Department of Neurology, Division of Movement Disorders, 15 York St, LCI 710, New Haven, CT 06510, USA
| | - Rajita Sinha
- Yale School of Medicine, Yale Stress Center, 2 Church St South, Suite 209, New Haven, CT 06519, USA; Yale School of Medicine, Department of Psychiatry, 300 George St, New Haven, CT 06511, USA; Yale School of Medicine, Department of Neuroscience, 333 Cedar St, SHM-L-200, New Haven, CT 06510, USA
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28
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Liao H, Cai S, Shen Q, Fan J, Wang T, Zi Y, Mao Z, Situ W, Liu J, Zou T, Yi J, Zhu X, Tan C. Networks Are Associated With Depression in Patients With Parkinson's Disease: A Resting-State Imaging Study. Front Neurosci 2021; 14:573538. [PMID: 33633526 PMCID: PMC7901489 DOI: 10.3389/fnins.2020.573538] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 12/22/2020] [Indexed: 11/13/2022] Open
Abstract
Background Disturbance of networks was recently proposed to be associated with the occurrence of depression in Parkinson's disease (PD). However, the neurobiological mechanism of depression underlying PD remains unclear. Objective This study was conducted to investigate whether intra-network and inter-network brain connectivity is differently changed in PD patients with and without depression (PDD and PDND patients, respectively). Methods Forty-one PDD patients, 64 PDND patients, and 55 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI). The default mode network (DMN), executive control network (ECN), salience network (SN), precuneus network (PCUN), and sensorimotor network (SMN) were extracted using independent component analysis (ICA), and then the functional connectivity (FC) values within and between these networks were measured. Results PDD patients exhibited abnormal FC values within the DMN, ECN, SN, PCUN, and SMN. In addition, PDD patients demonstrated decreased connectivity between anterior SN (aSN) and bilateral ECN, between posterior SN (pSN) and dorsal DMN (dDMN), and between PCUN and dDMN/SMN/bilateral ECN. Connectivity within the left hippocampus of dDMN and the right medial superior frontal gyrus of aSN was a significant predictor of depression level in PD patients. Conclusions Aberrant intra- and inter-network FC is involved in several important hubs in the large-scale networks, which can be a biomarker for distinguishing PDD from PDND.
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Affiliation(s)
- Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sainan Cai
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qin Shen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jie Fan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Tianyu Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuheng Zi
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhenni Mao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Weijun Situ
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ting Zou
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinyao Yi
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
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29
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Mood and emotional disorders associated with parkinsonism, Huntington disease, and other movement disorders. HANDBOOK OF CLINICAL NEUROLOGY 2021; 183:175-196. [PMID: 34389117 DOI: 10.1016/b978-0-12-822290-4.00015-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
This chapter provides a review of mood, emotional disorders, and emotion processing deficits associated with diseases that cause movement disorders, including Parkinson's disease, Lewy body dementia, multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, frontotemporal dementia with parkinsonism, Huntington's disease, essential tremor, dystonia, and tardive dyskinesia. For each disorder, a clinical description of the common signs and symptoms, disease progression, and epidemiology is provided. Then the mood and emotional disorders associated with each of these diseases are described and discussed in terms of clinical presentation, incidence, prevalence, and alterations in quality of life. Alterations of emotion communication, such as affective speech prosody and facial emotional expression, associated with these disorders are also discussed. In addition, if applicable, deficits in gestural and lexical/verbal emotion are reviewed. Throughout the chapter, the relationships among mood and emotional disorders, alterations of emotional experiences, social communication, and quality of life, as well as treatment, are emphasized.
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30
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Wang T, Liao H, Zi Y, Wang M, Mao Z, Xiang Y, Zhang L, Li J, Shen Q, Cai S, Tan C. Distinct Changes in Global Brain Synchronization in Early-Onset vs. Late-Onset Parkinson Disease. Front Aging Neurosci 2020; 12:604995. [PMID: 33381021 PMCID: PMC7767969 DOI: 10.3389/fnagi.2020.604995] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 11/24/2020] [Indexed: 11/21/2022] Open
Abstract
Early- and late-onset Parkinson's disease (EOPD and LOPD, respectively) have different risk factors, clinical features, and disease course; however, the functional outcome of these differences have not been well characterized. This study investigated differences in global brain synchronization changes and their clinical significance in EOPD and LOPD patients. Patients with idiopathic PD including 25 EOPD and 24 LOPD patients, and age- and sex-matched healthy control (HC) subjects including 27 younger and 26 older controls (YCs and OCs, respectively) were enrolled. Voxel-based degree centrality (DC) was calculated as a measure of global synchronization and compared between PD patients and HC groups matched in terms of disease onset and severity. DC was decreased in bilateral Rolandic operculum and left insula and increased in the left superior frontal gyrus (SFG) and precuneus of EOPD patients compared to YCs. DC was decreased in the right putamen, mid-cingulate cortex, bilateral Rolandic operculum, and left insula and increased in the right cerebellum-crus1 of LOPD patients compared to OCs. Correlation analyses showed that DC in the right cerebellum-crus1 was inversely associated with the Hamilton Depression Scale (HDS) score in LOPD patients. Thus, EOPD and LOPD patients show distinct alterations in global synchronization relative to HCs. Furthermore, our results suggest that the left SFG and right cerebellum-crus1 play important roles in the compensation for corticostriatal-thalamocortical loop injury in EOPD and LOPD patients, whereas the cerebellum is a key hub in the neural mechanisms underlying LOPD with depression. These findings provide new insight into the clinical heterogeneity of the two PD subtypes.
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Affiliation(s)
- Tianyu Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Haiyan Liao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuheng Zi
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Min Wang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhenni Mao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yijuan Xiang
- Department of Radiology, Hunan Province Maternal and Child Health Care Hospital, Changsha, China
| | - Lin Zhang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Junli Li
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qin Shen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sainan Cai
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
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Iyer KK, Au TR, Angwin AJ, Copland DA, Dissanayaka NN. Theta and gamma connectivity is linked with affective and cognitive symptoms in Parkinson's disease. J Affect Disord 2020; 277:875-884. [PMID: 33065829 DOI: 10.1016/j.jad.2020.08.086] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 07/16/2020] [Accepted: 08/24/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND The progression of Parkinson's disease (PD) can often exacerbate symptoms of depression, anxiety, and/or cognitive impairment. In this study, we explore the possibility that multiple brain network responses are associated with symptoms of depression, anxiety and cognitive impairment in PD. This association is likely to provide insights into a single multivariate relationship, where common affective symptoms occurring in PD cohorts are related with alterations to electrophysiological response. METHODS 70 PD patients and 21 healthy age-matched controls (HC) participated in a high-density electroencephalography (EEG) study. Functional connectivity differences between PD and HC groups of oscillatory activity at rest and during completion of an emotion-cognition task were examined to identify key brain oscillatory activities. A canonical correlation analysis (CCA) was applied to identify a putative multivariate relationship between connectivity patterns and affective symptoms in PD groups. RESULTS A CCA analysis identified a single mode of co-variation linking theta and gamma connectivity with affective symptoms in PD groups. Increases in frontotemporal gamma, frontal and parietal theta connectivity were related with increased anxiety and cognitive impairment. Decreases in temporal region theta and frontoparietal gamma connectivity were associated with higher depression ratings and PD patient age. LIMITATIONS This study only reports on optimal dosage of dopaminergic treatment ('on' state) in PD and did not investigate at "off" medication". CONCLUSIONS Theta and gamma connectivity during rest and task-states are linked to affective and cognitive symptoms within fronto-temporo-parietal networks, suggesting a potential assessment avenue for understanding brain-behaviour associations in PD with electrophysiological task paradigms.
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Affiliation(s)
- Kartik K Iyer
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Herston, QLD 4029, Brisbane, Australia; Clinical Brain Networks group, QIMR Berghofer Medical Research Institute, Australia; School of Health & Rehabilitation Sciences, The University of Queensland, St Lucia, QLD 4067, Brisbane, Australia
| | - Tiffany R Au
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Herston, QLD 4029, Brisbane, Australia
| | - Anthony J Angwin
- School of Health & Rehabilitation Sciences, The University of Queensland, St Lucia, QLD 4067, Brisbane, Australia
| | - David A Copland
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Herston, QLD 4029, Brisbane, Australia; School of Health & Rehabilitation Sciences, The University of Queensland, St Lucia, QLD 4067, Brisbane, Australia
| | - Nadeeka N Dissanayaka
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Herston, QLD 4029, Brisbane, Australia; Department of Neurology, Royal Brisbane & Women's Hospital, Herston, QLD 4029, Brisbane, Australia; School of Psychology, The University of Queensland, St Lucia, QLD 4067, Brisbane, Australia.
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Cao F, Guan X, Ma Y, Shao Y, Zhong J. Altered Functional Network Associated With Cognitive Performance in Early Parkinson Disease Measured by Eigenvector Centrality Mapping. Front Aging Neurosci 2020; 12:554660. [PMID: 33178007 PMCID: PMC7596167 DOI: 10.3389/fnagi.2020.554660] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 09/11/2020] [Indexed: 02/01/2023] Open
Abstract
Objective: To investigate relationships between whole-brain functional changes and the performance of multiple cognitive functions in early Parkinson’s disease (PD). Methods: In the current study, we evaluated resting-state functional MRI (rsfMRI) data and neuropsychological assessments for various cognitive functions in a cohort with 84 early PD patients from the Parkinson’s Progression Markers Initiative (PPMI). Eigenvector centrality (EC) mapping based on rsfMRI was used to identify the functional connectivity of brain areas correlated with different neuropsychological scores at a whole-brain level. Results: Our study demonstrated that in the early PD patients, scores of Letter Number Sequencing (LNS) were positively correlated with EC in the left inferior occipital gyrus (IOG) and lingual gyrus. The immediate recall scores of Hopkins Verbal Learning Test-Revised (HVLT-R) were positively correlated with EC in the left superior frontal gyrus. No correlation was found between the EC and other cognitive performance scores. Conclusions: Functional alternations in the left occipital lobe (inferior occipital and lingual gyrus) and left superior frontal gyrus may account for the performance of working memory and immediate recall memory, respectively in early PD. These results may broaden the understanding of the potential mechanism of cognitive impairments in early PD.
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Affiliation(s)
- Fang Cao
- Department of Radiology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yanqing Ma
- Department of Radiology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Yuan Shao
- Department of Radiology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Jianguo Zhong
- Department of Radiology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
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Qiu YH, Huang ZH, Gao YY, Feng SJ, Huang B, Wang WY, Xu QH, Zhao JH, Zhang YH, Wang LM, Nie K, Wang LJ. Alterations in intrinsic functional networks in Parkinson's disease patients with depression: A resting-state functional magnetic resonance imaging study. CNS Neurosci Ther 2020; 27:289-298. [PMID: 33085178 PMCID: PMC7871794 DOI: 10.1111/cns.13467] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 09/07/2020] [Accepted: 09/26/2020] [Indexed: 12/11/2022] Open
Abstract
Aims The aim of this research was to investigate the alterations in functional brain networks and to assess the relationship between depressive impairment and topological network changes in Parkinson's disease (PD) patients with depression (DPD). Methods Twenty‐two DPD patients, 23 PD patients without depression (NDPD), and 25 matched healthy controls (HCs) were enrolled. All participants were examined by resting‐state functional magnetic resonance imaging scans. Graph theoretical analysis and network‐based statistic methods were used to analyze brain network topological properties and abnormal subnetworks, respectively. Results The DPD group showed significantly decreased local efficiency compared with the HC group (P = .008, FDR corrected). In nodal metrics analyses, the degree of the right inferior occipital gyrus (P = .0001, FDR corrected) was positively correlated with the Hamilton Depression Rating Scale scores in the DPD group. Meanwhile, the temporal visual cortex, including the bilateral middle temporal gyri and right inferior temporal gyrus in the HC and NDPD groups and the left posterior cingulate gyrus in the NDPD group, was defined as hub region, but not in the DPD group. Compared with the HC group, the DPD group had extensive weakening of connections between the temporal‐occipital visual cortex and the prefrontal‐limbic network. Conclusions These results suggest that PD depression is associated with disruptions in the topological organization of functional brain networks, mainly involved the temporal‐occipital visual cortex and the posterior cingulate gyrus and may advance our current understanding of the pathophysiological mechanisms underlying DPD.
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Affiliation(s)
- Yi-Hui Qiu
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Zhi-Heng Huang
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Yu-Yuan Gao
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Shu-Jun Feng
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Biao Huang
- Department of Radiology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wan-Yi Wang
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Qi-Huan Xu
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Jie-Hao Zhao
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Yu-Hu Zhang
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Li-Min Wang
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Kun Nie
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
| | - Li-Juan Wang
- Department of Neurology, Guangdong Provincial Peoples' Hospital, Guangdong Academy of Medical Sciences, Guangdong Neuroscience Institute, Guangzhou, China
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Toiviainen P, Burunat I, Brattico E, Vuust P, Alluri V. The chronnectome of musical beat. Neuroimage 2020; 216:116191. [DOI: 10.1016/j.neuroimage.2019.116191] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 09/10/2019] [Accepted: 09/11/2019] [Indexed: 01/03/2023] Open
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Tessitore A, Cirillo M, De Micco R. Functional Connectivity Signatures of Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2020; 9:637-652. [PMID: 31450512 PMCID: PMC6839494 DOI: 10.3233/jpd-191592] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Resting-state functional magnetic resonance imaging (RS-fMRI) studies have been extensively applied to analyze the pathophysiology of neurodegenerative disorders such as Parkinson’s disease (PD). In the present narrative review, we attempt to summarize the most recent RS-fMRI findings highlighting the role of brain networks re-organization and adaptation in the course of PD. We also discuss limitations and potential definition of early functional connectivity signatures to track and predict future PD progression. Understanding the neural correlates and potential predisposing factors of clinical progression and complication will be crucial to guide novel clinical trials and to foster preventive strategies.
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Affiliation(s)
- Alessandro Tessitore
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mario Cirillo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Rosa De Micco
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,MRI Research Center SUN-FISM, University of Campania "Luigi Vanvitelli", Naples, Italy
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Klobušiaková P, Mareček R, Fousek J, Výtvarová E, Rektorová I. Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study. J Alzheimers Dis 2020; 67:971-984. [PMID: 30776007 PMCID: PMC6398554 DOI: 10.3233/jad-180834] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Cognitive impairment in Parkinson's disease (PD) is associated with altered connectivity of the resting state networks (RSNs). Longitudinal studies in well cognitively characterized PD subgroups are missing. OBJECTIVES To assess changes of the whole-brain connectivity and between-network connectivity (BNC) of large-scale functional networks related to cognition in well characterized PD patients using a longitudinal study design and various analytical methods. METHODS We explored the whole-brain connectivity and BNC of the frontoparietal control network (FPCN) and the default mode, dorsal attention, and visual networks in PD with normal cognition (PD-NC, n = 17) and mild cognitive impairment (PD-MCI, n = 22) as compared to 51 healthy controls (HC). We applied regions of interest-based, partial least squares, and graph theory based network analyses. The differences among groups were analyzed at baseline and at the one-year follow-up visit (37 HC, 23 PD all). RESULTS The BNC of the FPCN and other RSNs was reduced, and the whole-brain analysis revealed increased characteristic path length and decreased average node strength, clustering coefficient, and global efficiency in PD-NC compared to HC. Values of all measures in PD-MCI were between that of HC and PD-NC. After one year, the BNC was further increased in the PD-all group; no changes were detected in HC. No cognitive domain z-scores deteriorated in either group. CONCLUSION As compared to HC, PD-NC patients display a less efficient transfer of information globally and reduced BNC of the visual and frontoparietal control network. The BNC increases with time and MCI status, reflecting compensatory efforts.
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Affiliation(s)
- Patrícia Klobušiaková
- Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Radek Mareček
- Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic.,First Department of Neurology, St. Anne's University Hospital and School of Medicine, Masaryk University, Brno, Czech Republic.,Multimodal and Functional Neuroimaging Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic
| | - Jan Fousek
- Multimodal and Functional Neuroimaging Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic.,Institute of Computer Science, Masaryk University (MU), Brno, Czech Republic
| | - Eva Výtvarová
- Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic.,Faculty of Informatics, Masaryk University (MU), Brno, Czech Republic
| | - Irena Rektorová
- Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic.,First Department of Neurology, St. Anne's University Hospital and School of Medicine, Masaryk University, Brno, Czech Republic
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37
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Li Y, Huang P, Guo T, Guan X, Gao T, Sheng W, Zhou C, Wu J, Song Z, Xuan M, Gu Q, Xu X, Yang Y, Zhang M. Brain structural correlates of depressive symptoms in Parkinson's disease patients at different disease stage. Psychiatry Res Neuroimaging 2020; 296:111029. [PMID: 31918166 DOI: 10.1016/j.pscychresns.2019.111029] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 12/26/2019] [Accepted: 12/27/2019] [Indexed: 12/13/2022]
Abstract
Parkinson's disease (PD) pathology may damage emotion circuit and cause depression. We investigated whether the neural basis of depressive symptoms varies at different PD stages. Seventy-six healthy controls (HC) and 98 PD patients (divided into early and middle stage groups) underwent brain magnetic resonance imaging (MRI) and general neuropsychological tests. Voxel-based morphometry and tract-based analysis were used to study the association between brain structural alterations and the Hamilton Depression Scale 17 Item (HAMD-17) scores in different groups. Comparing with HC group, PD patients showed widespread brain alterations in both gray and white matter. The HAMD-17 scores were positively correlated with GM volume in the right pre-central gyrus of early PD patients. In the middle stage group, HAMD-17 scores were positively correlated with GM volume in midbrain and right superior temporal gyrus, and negatively associated with GM volume in left anterior cingulate and superior frontal gyrus. In white matter analysis, The HAMD-17 scores were positively correlated with fractional anisotropy value of the bilateral inferior fronto-occipital fasciculus in the early stage group, but not the middle stage group. We concluded that the neural basis of depressive symptoms might be distinct in different stages of PD, implying the need for differential treatments.
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Affiliation(s)
- Yanxuan Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University 325000, Wenzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Ting Gao
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Wenshuang Sheng
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University 325000, Wenzhou, China
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Zhe Song
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Min Xuan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Quanquan Gu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China
| | - Yunjun Yang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University 325000, Wenzhou, China.
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine 310000, Hangzhou, China.
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Zhu PW, Chen Y, Gong YX, Jiang N, Liu WF, Su T, Ye L, Min YL, Yuan Q, He LC, Shao Y. Altered brain network centrality in patients with trigeminal neuralgia: a resting-state fMRI study. Acta Radiol 2020; 61:67-75. [PMID: 31088124 DOI: 10.1177/0284185119847678] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background Neuroimaging studies revealed that trigeminal neuralgia was related to alternations in brain anatomical function and regional function. However, the functional characteristics of network organization in the whole brain is unknown. Purpose The aim of the present study was to analyze potential functional network brain-activity changes and their relationships with clinical features in patients with trigeminal neuralgia via the voxel-wise degree centrality method. Material and Methods This study involved a total of 28 trigeminal neuralgia patients (12 men, 16 women) and 28 healthy controls matched in sex, age, and education. Spontaneous brain activity was evaluated by degree centrality. Correlation analysis was used to examine the correlations between behavioral performance and average degree centrality values in several brain regions. Results Compared with healthy controls, trigeminal neuralgia patients had significantly higher degree centrality values in the right lingual gyrus, right postcentral gyrus, left paracentral lobule, and bilateral inferior cerebellum. Receiver operative characteristic curve analysis of each brain region confirmed excellent accuracy of the areas under the curve. There was a positive correlation between the mean degree centrality value of the right postcentral gyrus and VAS score (r = 0.885, P < 0.001). Conclusions Trigeminal neuralgia causes abnormal brain network activity in multiple brain regions, which may be related to underlying disease mechanisms.
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Affiliation(s)
- Pei-Wen Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - You Chen
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Ying-Xin Gong
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Nan Jiang
- Eye Institute of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Xiamen, Fujian Province, PR China
| | - Wen-Feng Liu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Ting Su
- Eye Institute of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Xiamen, Fujian Province, PR China
| | - Lei Ye
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - You-Lan Min
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Qing Yuan
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Lai-Chang He
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
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Lin H, Cai X, Zhang D, Liu J, Na P, Li W. Functional connectivity markers of depression in advanced Parkinson's disease. NEUROIMAGE-CLINICAL 2019; 25:102130. [PMID: 31869768 PMCID: PMC6931212 DOI: 10.1016/j.nicl.2019.102130] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 11/23/2019] [Accepted: 12/13/2019] [Indexed: 11/18/2022]
Abstract
Patient-specific 42-ICNs template was created from 156 PD patients’ rs-fMRI data. 6 FC markers significantly contributed to depression discrimination in PD. Classifiers achieved the mean accuracy of 82.4% for depression diagnosis in PD.
Background Depression is a common comorbid condition in Parkinson's disease and a major contributor to poor quality of life. Despite this, depression in PD is under-diagnosed due to overlapping symptoms and difficulties in the assessment of depression in cognitively impaired old patients. Objectives This study is to explore functional connectivity markers of depression in PD patients using resting-state fMRI and help diagnose whether patients have depression or not. Methods We reviewed 156 advanced PD patients (duration > 5 years; 59 depressed ones) and 45 healthy control subjects who underwent a resting-state fMRI scanning. Functional connectivity analysis was employed to characterize intrinsic connectivity networks using group independent component analysis and extract connectivity features. Features were put into an all-relevant feature selection procedure within cross-validation loops, to identify features with significant discriminative power for classification. Random forest classifiers were built for depression diagnosis, on the basis of identified features. Results 42 intrinsic connectivity networks were identified and arranged into subcortical, auditory, somatomotor, visual, cognitive control, default-mode and cerebellar networks. Six features were significantly relevant to classification. They were connectivity within posterior cingulate cortex, within insula, between posterior cingulate cortex and insula/hippocampus+amygdala, between insula and precuneus, and between superior parietal lobule and medial prefrontal cortex. The mean accuracy achieved with classifiers to discriminate depressed patients from the non-depressed was 82.4%. Conclusions Our findings provide preliminary evidence that resting-state functional connectivity can characterize depressed PD patients and help distinguish them from non-depressed ones.
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Affiliation(s)
- Hai Lin
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; Brain Centre, Shenzhen Key Laboratory of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Xiaodong Cai
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Doudou Zhang
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Jiali Liu
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Peng Na
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; Brain Centre, Shenzhen Key Laboratory of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Weiping Li
- Brain Centre, Shenzhen Key Laboratory of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China.
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40
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Li MG, Liu TF, Zhang TH, Chen ZY, Nie BB, Lou X, Wang ZF, Ma L. Alterations of regional homogeneity in Parkinson's disease with mild cognitive impairment: a preliminary resting-state fMRI study. Neuroradiology 2019; 62:327-334. [PMID: 31822931 DOI: 10.1007/s00234-019-02333-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 11/26/2019] [Indexed: 01/23/2023]
Abstract
PURPOSE Mild cognitive impairment (MCI) is commonly observed in Parkinson's disease (PD), even in the early stages. However, the neural substrates of cognitive impairment in PD remain unclear. The aim of the current study was to investigate the change of local brain function in PD patients with MCI. METHODS Fifty patients with PD, including 25 PD patients with MCI (PD-MCI) and 25 PD patients with normal cognition (PD-NC), and 25 age- and sex-matched healthy controls (HC) were enrolled. Conventional magnetic resonance imaging (MRI), 3D structural images, and resting state-functional MRI (rs-fMRI) were performed in all subjects. Regional homogeneity (ReHo) was measured based on the rs-fMRI images to investigate the altered local brain functions. RESULTS Brain regions with decreased ReHo were located in the left posterior cerebellar lobe in PD sub-groups compared to the HC group, and the brain regions with increased ReHo were located in the limbic lobe (right precuneus/bilateral middle cingulate cortex) in PD-MCI compared with HC group. PD-MCI presented with increased ReHo in the bilateral precuneus/left superior parietal lobe and decreased ReHo in the left insula compared to PD-NC. ReHo values for the left precuneus were negatively related to neuropsychological scores, and ReHo values for the left insula were positively related to neuropsychological scores in PD subjects. CONCLUSION The present study demonstrated abnormal spontaneous synchrony in the left insula and left precuneus in patients with PD-MCI compared to PD-NC, which might provide a novel insight into the diagnosis and clinical treatment of cognitive impairment in PD.
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Affiliation(s)
- Ming-Ge Li
- School of Medicine, Nankai University, Tianjin, China.,Department of Radiology, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Tie-Fang Liu
- Department of Radiology, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Tian-Hao Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.,School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhi-Ye Chen
- Department of Radiology, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Bin-Bin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.,School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Xin Lou
- Department of Radiology, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Zhen-Fu Wang
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Lin Ma
- School of Medicine, Nankai University, Tianjin, China. .,Department of Radiology, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Beijing, 100853, China.
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41
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Morgan HE, Ledbetter CR, Ferrier C, Zweig RM, Disbrow EA. Altered Cortico-Limbic Network Connectivity in Parkinsonian Depression: The Effect of Antidepressants. JOURNAL OF PARKINSONS DISEASE 2019; 8:429-440. [PMID: 30124452 DOI: 10.3233/jpd-171204] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Depression is a common comorbidity of Parkinson's disease (PD); however, the impact of antidepressant status on cortical function in parkinsonian depression is not fully understood. While studies of resting state functional MRI in major depression have shown that antidepressant treatment affects cortical connectivity, data on connectivity and antidepressant status in PD is sparse. OBJECTIVE We tested the hypothesis that cortico-limbic network (CLN) resting state connectivity is abnormal in antidepressant-treated parkinsonian depression. METHODS Thirteen antidepressant-treated depressed PD and 47 non-depressed PD participants from the Parkinson's Progression Markers Initiative (PPMI) database were included. Data was collected using 3T Siemens TIM Trio MR scanners and analyzed using SPM and CONN functional connectivity toolbox. Volumetric analysis was also performed using BrainSuite. RESULTS We found decreased connectivity in the antidepressant-treated depressed PD group when compared to non-depressed PD between the left frontal operculum and bilateral insula, and also reduced connectivity between right orbitofrontal cortex and left temporal fusiform structures. Increased depression scores were associated with decreased insular-frontal opercular connectivity. No ROI volumetric differences were found between groups. CONCLUSION Given the relationship between depression scores and cortico-limbic connectivity in PD, the abnormal insular-frontal opercular hypoconnectivity in this cohort may be associated with persistent depressive symptoms or antidepressant effects.
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Affiliation(s)
| | | | - Christopher Ferrier
- Caddo Parish Magnet High School, Science and Medicine Academic Research Training Program, Shreveport, LA, USA
| | - Richard M Zweig
- Department of Neurology, LSUHSC Shreveport, Shreveport, LA, USA
| | - Elizabeth A Disbrow
- Department of Neurology, LSUHSC Shreveport, Shreveport, LA, USA.,Department of Pharmacology, Toxicology, and Neuroscience, LSUHSC Shreveport, Shreveport, LA, USA
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Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality. Neurosci Lett 2019; 712:134500. [PMID: 31557522 DOI: 10.1016/j.neulet.2019.134500] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/12/2019] [Accepted: 09/14/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To investigate alterations in the functional brain networks of patients with primary open-angle glaucoma (POAG) by using the resting-state functional magnetic resonance imaging (fMRI) voxelwise degree centrality (DC) method. MATERIALS AND METHODS Thirteen patients with POAG and thirteen healthy subjects were recruited for this study, and each participant underwent a rs-fMRI scan. The voxelwise DC method was used to assess the features of spontaneous brain activity. The differences in the mean DC across brain regions between the POAG group and the healthy control group were analyzed, and the correlations between the DC values of altered brain regions and various clinical ophthalmic parameters were analyzed in the POAG group. RESULTS Compared with healthy controls, patients with POAG exhibited significantly decreased DC values of the left superior frontal gyrus and the left postcentral gyrus as well as significantly increased DC values of the left superior occipital gyrus. In POAG patients, the DC value of the left superior occipital gyrus was significantly positively correlated with age (r = 0.571, P = 0.042) and negatively correlated with the intraocular pressure of the right eye (r=-0.625, P = 0.022). The DC value of the left superior frontal gyrus was significantly positively correlated with the right eye average cup-to-disc ratio (r = 0.683, P = 0.010), vertical cup-to-disc ratio (r = 0.779, P = 0.002), and pattern standard deviation (r = 0.567, P = 0.043). CONCLUSION The results showed that altered DC values in three brain regions may reflect the underlying pathological mechanisms of POAG. Decreased DC values of the left superior occipital gyrus could be useful imaging markers for determining the extent of brain damage in POAG patients compared to healthy subjects.
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Huang X, Li HJ, Peng DC, Ye L, Yang QC, Zhong YL, Zhou FQ, Shao Y. Altered brain network centrality in patients with late monocular blindness: a resting-state fMRI study. Arch Med Sci 2019; 15:1301-1307. [PMID: 31572477 PMCID: PMC6764322 DOI: 10.5114/aoms.2019.87133] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 05/22/2017] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The aim of the study was to investigate the underlying functional network brain activity changes in patients with late monocular blindness (MB) and the relationship with their clinical features using the voxel-wise degree centrality (DC) method. MATERIAL AND METHODS A total of 32 patients with MB (25 males and 7 females), and 32 healthy controls (HCs) (25 males and 7 females) closely matched in age, sex, and education, underwent resting-state functional magnetic resonance imaging scans. The DC method was used to assess local features of spontaneous brain activity. Correlation analysis was performed to explore the relationships between the observed mean DC signal values of the different areas and clinical features in these patients. RESULTS Compared with HCs, MB patients had significantly lower DC values in the bilateral cuneus/V1/V2, and significantly higher DC values in the left inferior temporal gyrus and bilateral medial frontal gyrus. However, there was no relationship between the observed mean DC values of the different brain areas and the behavioral performance. CONCLUSIONS Late monocular blindness involves brain function network dysfunction in many regions, which might indicate impairment of the visual cortex and other vision-related brain regions in the MBs.
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Affiliation(s)
- Xin Huang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hai-Jun Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - De-Chang Peng
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lei Ye
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qi-Chen Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Yu-Lin Zhong
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fu-Qing Zhou
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Alteration of Brain Functional Connectivity in Parkinson’s Disease Patients with Dysphagia. Dysphagia 2019; 34:600-607. [DOI: 10.1007/s00455-019-10015-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Accepted: 04/22/2019] [Indexed: 12/25/2022]
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Prell T, Witte OW, Grosskreutz J. Biomarkers for Dementia, Fatigue, and Depression in Parkinson's Disease. Front Neurol 2019; 10:195. [PMID: 30906277 PMCID: PMC6418014 DOI: 10.3389/fneur.2019.00195] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 02/15/2019] [Indexed: 12/26/2022] Open
Abstract
Parkinson's disease is a common multisystem neurodegenerative disorder characterized by typical motor and non-motor symptoms. There is an urgent need for biomarkers for assessment of disease severity, complications and prognosis. In addition, biomarkers reporting the underlying pathophysiology assist in understanding the disease and developing neuroprotective therapies. Ultimately, biomarkers could be used to develop a more efficient personalized approach for clinical trials and treatment strategies. With the goal to improve quality of life in Parkinson's disease it is essential to understand and objectively monitor non-motor symptoms. This narrative review provides an overview of recent developments of biomarkers (biofluid samples and imaging) for three common neuropsychological syndromes in Parkinson's disease: dementia, fatigue, and depression.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Otto W Witte
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Julian Grosskreutz
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
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The relationship of anxious and depressive symptoms in Parkinson's disease with voxel-based neuroanatomical and functional connectivity measures. J Affect Disord 2019; 245:580-588. [PMID: 30439681 DOI: 10.1016/j.jad.2018.10.364] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 09/12/2018] [Accepted: 10/31/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Anxiety and depression are two frequent comorbidities of Parkinson's disease (PD). However, the underlying neural mechanism is still unclear and the studies on their neural correlates were insufficient. METHODS Using voxel-based neuroanatomical and functional connectivity (FC) measures, i.e. grey matter volume, fractional anisotropy, and weighted degree centrality (WD), we examined their correlations with the severity levels of anxious and depressive symptoms in 36 PD patients. RESULTS Positive correlations were shown between anxiety and the WDs in the left amygdala, and between depression and short-ranged WDs in the left parahippocampal gyrus. Using these two regions as the seeds, we found that the severity levels of anxiety and depression were positively correlated with the FCs between the two seeds and the areas in the default mode network (DMN), while negatively correlated with the FCs between the two seeds and the prefrontal and superior temporal cortices. Anxiety was also positively correlated with the FC between the amygdala and the superior parietal lobule. LIMITATIONS The severity levels of anxious and depressive symptoms of our participants is relatively mild than some previous studies. The cross-sectional design of this study cannot clarify the etiological relationship between PD and two comorbidities. CONCLUSIONS Our results were in line with the key roles of the amygdala and parahippocampal gyrus in anxiety and depression, and reflected the distinct effects of the DMN, prefrontal and superior temporal cortices, and sensory-motor regions on emotional regulation. The identification of these neural substrates might assist clinical monitoring mood disturbances in PD.
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Filippi M, Sarasso E, Agosta F. Resting-state Functional MRI in Parkinsonian Syndromes. Mov Disord Clin Pract 2019; 6:104-117. [PMID: 30838308 DOI: 10.1002/mdc3.12730] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 12/28/2018] [Accepted: 01/16/2019] [Indexed: 01/18/2023] Open
Abstract
Background Functional MRI (fMRI) has been widely used to study abnormal patterns of functional connectivity at rest in patients with movement disorders such as idiopathic Parkinson's disease (PD) and atypical parkinsonisms. Methods This manuscript provides an educational review of the current use of resting-state fMRI in the field of parkinsonian syndromes. Results Resting-state fMRI studies have improved the current knowledge about the mechanisms underlying motor and non-motor symptom development and progression in movement disorders. Even if its inclusion in clinical practice is still far away, resting-state fMRI has the potential to be a promising biomarker for early disease detection and prediction. It may also aid in differential diagnosis and monitoring brain responses to therapeutic agents and neurorehabilitation strategies in different movement disorders. Conclusions There is urgent need to identify and validate prodromal biomarkers in PD patients, to perform further studies assessing both overlapping and disease-specific fMRI abnormalities among parkinsonian syndromes, and to continue technical advances to fully realize the potential of fMRI as a tool to monitor the efficacy of chronic therapies.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy
| | - Elisabetta Sarasso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy.,Laboratory of Movement Analysis San Raffaele Scientific Institute Milan Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy
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Liu WF, Shu YQ, Zhu PW, Li B, Shi WQ, Lin Q, Liu YX, Zhang MY, Min YL, Yuan Q, Shao Y. The Cerebellum Posterior Lobe Associates with the Exophthalmos of Primary Hyperthyroidism: A Resting-State fMRI Study. Int J Endocrinol 2019; 2019:8135671. [PMID: 31885561 PMCID: PMC6914989 DOI: 10.1155/2019/8135671] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 08/22/2019] [Accepted: 10/04/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Exophthalmos occurs in patients with primary hyperthyroidism. There were few studies about the changes of brain functional networks of patients with exophthalmos of primary hyperthyroidism (EOPH). However, differences in spontaneous brain activity in patients with EOPH remain unclear. OBJECTIVE This study explored alterations in the brain functional networks of patients with EOPH using a voxel-wise degree centrality (DC) method. METHODS A total of 20 patients with EOPH (8 men and 12 women) were enrolled. In addition, 20 patients with primary hyperthyroidism without exophthalmos, matched in age, sex, and education status, were enrolled as a control group. The Hospital Anxiety and Depression Scale was used to assess the anxiety and depression status of participants. All participants were examined using resting-state functional MRI. Changes in spontaneous brain activity were investigated using the DC method. To distinguish between the DC values of the patients with EOPH and those of the control group, we analyzed the receiver operating characteristic (ROC) curve. The interrelationships between the DC values and clinical variables in the patients with EOPH were evaluated using Pearson's correlation coefficient. RESULTS Patients with EOPH exhibited notably lower DC values in the cerebellum posterior lobe than the control group. In addition, there were negative correlations between the anxiety scores (AS) and the depression scores (DS) and DC values of the cerebellum posterior lobe. The ROC curve analysis of the cerebellum posterior lobe demonstrated that the area under the curve method had a high diagnostic accuracy. CONCLUSIONS Our study was the first, to our knowledge, to explore changes in the brains of patients with EOPH using the DC method. The DC value was significantly different in the cerebellum posterior lobe in patients with EOPH, indicating that the cerebellum posterior lobe is associated with EOPH.
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Affiliation(s)
- Wen-Feng Liu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Yong-Qiang Shu
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Pei-Wen Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Wen-Qing Shi
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Qi Lin
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Yu-Xin Liu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Meng-Yao Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - You-Lan Min
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Qing Yuan
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
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Comparison of structural connectivity in Parkinson's disease with depressive symptoms versus non-depressed: a diffusion MRI connectometry study. Int Psychogeriatr 2019; 31:5-12. [PMID: 29560834 DOI: 10.1017/s1041610218000170] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
UNLABELLED ABSTRACTObjective:Research on psychobiological markers of Parkinson's disease (PD) remains a hot topic. Non-motor symptoms such as depression and REM sleep behavior disorder (RBD) each attribute to a particular neurodegenerative cluster in PD, and might enlighten the way for early prediction/detection of PD. The neuropathology of mood disturbances remains unclear. In fact, a few studies have investigated depression using diffusion magnetic resonance imaging (diffusion MRI). METHOD Diffusion MRI of PD patients without comorbid RBD was used to assess whether microstructural abnormalities are detectable in the brain of 40 PD patients with depression compared to 19 patients without depression. Diffusion MRI connectometry was used to carry out group analysis between age- and gender-matched PD patients with and without depressive symptoms. Diffusion MRI connectometry is based on spin distribution function, which quantifies the density of diffusing water and is a sensitive and specific analytical method to psychological differences between groups. RESULTS A significant difference (FDR = 0.016129) was observed in the left and right uncinate fasciculi, left and right inferior longitudinal fasciculi, left and right fornices, left inferior fronto-occipital fasciculus, right corticospinal tract, genu of corpus callosum, and middle cerebellar peduncle. CONCLUSION These results suggest the prominent circuits involved in emotion recognition, particularly negative emotions, might be impaired in comorbid depressive symptoms in PD.
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Ghazi Sherbaf F, Same K, Aarabi MH. High angular resolution diffusion imaging correlates of depression in Parkinson's disease: a connectometry study. Acta Neurol Belg 2018; 118:573-579. [PMID: 29728904 DOI: 10.1007/s13760-018-0937-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 04/26/2018] [Indexed: 11/30/2022]
Abstract
Depression is a significant disabling feature in Parkinson's disease (PD). However, the neuropathology of this comorbidity is still unclear. In fact, few studies have tried to elucidate the neural correlates of depression in PD and have mostly examined specific regions of interest. In this study, we applied diffusion MRI connectometry, a powerful complementary approach to investigate alterations in whole white matter pathways regarding the severity of depressive symptoms. Using a multiple regression model, the correlation of severity of depressive symptoms assessed by the Hospital Anxiety and Depression Scale (HADS) with white matter connectivity was surveyed in 27 non-demented PD patients related to 26 age, sex, and educational level-matched healthy subjects. Results revealed areas, where white matter quantitative anisotropy (QA) was correlated with depression score in PD patients, without any significant association in healthy controls. The analysis showed a significant negative association (false discovery rate < 0.05) between scores on depression subscale of HADS in PD patients and QA of left Cingulum, Genu, and Splenium of the Corpus Callosum, and anterior and posterior limbs of the right internal capsule. This finding might improve our understanding of the neural basis of depression and its severity in PD.
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Affiliation(s)
- Farzaneh Ghazi Sherbaf
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Kaveh Same
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Aarabi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
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