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Sivaranjini S, Sujatha CM. Analysis of cognitive dysfunction in Parkinson's disease using voxel based morphometry and radiomics. Cogn Process 2024; 25:521-532. [PMID: 38714621 DOI: 10.1007/s10339-024-01197-x] [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: 08/19/2023] [Accepted: 04/19/2024] [Indexed: 05/10/2024]
Abstract
Cognitive impairment in Parkinson's disease (PD) is associated with changes in the brain anatomical structures. The objective of this study, is to identify the atrophy patterns based on the severity of cognitive decline and evaluate the disease progression. In this study, gray matter alterations are analysed in 135 PD subjects under 3 cognitive domains (91 Cognitively normal PD (NC-PD), 25 PD with Mild Cognitive Impairment (PD-MCI) and 19 PD with Dementia (PD-D)) by comparing them with 58 Healthy Control (HC) subjects. Voxel Based Morphometry (VBM) is used to segment the gray matter regions in magnetic resonance images and analyse the atrophy patterns statistically. Significant patterns of gray matter variations observed in the middle temporal and medial frontal region differentiate between HC and PD subject groups based on the severity of cognitive decline. Abnormalities in gray matter is substantiated through radiomic features extracted from the significant gray matter clusters. Significant radiomic features of the clusters are able to differentiate between the HC and PD-D subjects with an accuracy of 81.82%. Higher atrophy levels identified in PD-D subjects compared to NC-PD and PD-MCI group enables early diagnosis and treatment procedures. The combined and comprehensive analysis of gray matter alterations through VBM and radiomic features gives better assessment of cognitive impairment in PD.
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Affiliation(s)
- S Sivaranjini
- Department of Electronics and Communication Engineering, College of Engineering (CEG), Anna University, Chennai, India.
| | - C M Sujatha
- Department of Electronics and Communication Engineering, College of Engineering (CEG), Anna University, Chennai, India
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2
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Shi D, Wu S, Zhuang C, Mao Y, Wang Q, Zhai H, Zhao N, Yan G, Wu R. Multimodal data fusion reveals functional and neurochemical correlates of Parkinson's disease. Neurobiol Dis 2024; 197:106527. [PMID: 38740347 DOI: 10.1016/j.nbd.2024.106527] [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: 04/16/2024] [Accepted: 05/09/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Neurotransmitter deficits and spatial associations among neurotransmitter distribution, brain activity, and clinical features in Parkinson's disease (PD) remain unclear. Better understanding of neurotransmitter impairments in PD may provide potential therapeutic targets. Therefore, we aimed to investigate the spatial relationship between PD-related patterns and neurotransmitter deficits. METHODS We included 59 patients with PD and 41 age- and sex-matched healthy controls (HCs). The voxel-wise mean amplitude of the low-frequency fluctuation (mALFF) was calculated and compared between the two groups. The JuSpace toolbox was used to test whether spatial patterns of mALFF alterations in patients with PD were associated with specific neurotransmitter receptor/transporter densities. RESULTS Compared to HCs, patients with PD showed reduced mALFF in the sensorimotor- and visual-related regions. In addition, mALFF alteration patterns were significantly associated with the spatial distribution of the serotonergic, dopaminergic, noradrenergic, glutamatergic, cannabinoid, and acetylcholinergic neurotransmitter systems (p < 0.05, false discovery rate-corrected). CONCLUSIONS Our results revealed abnormal brain activity patterns and specific neurotransmitter deficits in patients with PD, which may provide new insights into the mechanisms and potential targets for pharmacotherapy.
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Affiliation(s)
- Dafa Shi
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
| | - Shuohua Wu
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Caiyu Zhuang
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yumeng Mao
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Qianqi Wang
- Department of Basic Medical Sciences, School of Medicine, Xiamen University, Xiamen, China
| | - Huige Zhai
- Center of Morphological Experiment, Medical College of Yanbian University, Yanji, China
| | - Nannan Zhao
- Center of Morphological Experiment, Medical College of Yanbian University, Yanji, China
| | - Gen Yan
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China.
| | - Renhua Wu
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
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Pietracupa S, Ojha A, Belvisi D, Piervincenzi C, Tommasin S, Petsas N, De Bartolo MI, Costanzo M, Fabbrini A, Conte A, Berardelli A, Pantano P. Understanding the role of cerebellum in early Parkinson's disease: a structural and functional MRI study. NPJ Parkinsons Dis 2024; 10:119. [PMID: 38898032 PMCID: PMC11187155 DOI: 10.1038/s41531-024-00727-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Increasing evidence suggests that the cerebellum may have a role in the pathophysiology of Parkinson's disease (PD). Hence, the scope of this study was to investigate whether there are structural and functional alterations of the cerebellum and whether they correlate with motor and non-motor symptoms in early PD patients. Seventy-six patients with early PD and thirty-one age and sex-matched healthy subjects (HS) were enrolled and underwent a 3 T magnetic resonance imaging (MRI) protocol. The following MRI analyses were performed: (1) volumes of 5 cerebellar regions of interest (sensorimotor and cognitive cerebellum, dentate, interposed, and fastigial nuclei); (2) microstructural integrity of the cerebellar white matter connections (inferior, middle, and superior cerebellar peduncles); (3) functional connectivity at rest of the 5 regions of interest already described in point 1 with the rest of brain. Compared to controls, early PD patients showed a significant decrease in gray matter volume of the dentate, interposed and fastigial nuclei, bilaterally. They also showed abnormal, bilateral white matter microstructural integrity in all 3 cerebellar peduncles. Functional connectivity of the 5 cerebellar regions of interest with several areas in the midbrain, basal ganglia and cerebral cortex was altered. Finally, there was a positive correlation between abnormal functional connectivity of the fastigial nucleus with the volume of the nucleus itself and a negative correlation with axial symptoms severity. Our results showed that structural and functional alterations of the cerebellum are present in PD patients and these changes contribute to the pathophysiology of PD in the early phase.
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Affiliation(s)
- S Pietracupa
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - A Ojha
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - D Belvisi
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - C Piervincenzi
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy.
| | - S Tommasin
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - N Petsas
- Department of Public Health and Infectious Disease, Sapienza University of Rome, Rome, Italy
| | | | | | - A Fabbrini
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - A Conte
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - A Berardelli
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - P Pantano
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
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Wu Y, Xu XJ, Sun X, Zhai H, Wang T, Cao XB, Xu Y. Integrated PET/MRI With 11C-CFT and 18F-FDG for levodopa response difference in Parkinson's disease. Behav Brain Res 2023; 454:114609. [PMID: 37532003 DOI: 10.1016/j.bbr.2023.114609] [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: 04/20/2023] [Revised: 07/05/2023] [Accepted: 07/31/2023] [Indexed: 08/04/2023]
Abstract
AIM Parkinson's disease is one of the most common neurodegenerative diseases. Excellent levodopa responsiveness has been proposed as a characteristic supporting feature in substantiating the PD diagnosis. However, a small portion of clinically established PD patients shows poor levodopa response. This study aims to investigate brain function alterations of PD patients with poor levodopa responsiveness by PET/MRI. METHOD A total of 46 PD patients were recruited. They all completed 11C-CFT PET/MRI scans and the acute levodopa challenge test. Among these 46 PD patients, 42 participants further underwent 18F-FDG PET/MRI scans. Clinical variables regarding demographic data, disease features and cognition scales were also collected. Based on the improvement rate of UPDRS-III, PD patients were divided into non-responders (improvement rate < 33 %) and responders (improvement rate ≥ 33 %). Statistical parametric zapping was performed to analyze molecular imaging. Dopaminergic uptake and metabolism of 70 brain regions were converted to quantitative values and expressed as standard uptake value (SUV). SUV was further normalized by the cerebellum. The resulting SUV ratios and clinical variables were then compared by SPSS. RESULTS The difference between levodopa non-responders (n = 17) and responders (n = 29) in the UPDRS III baseline was statistically significant and the former had a lower UPDRS III baseline (19 (10, 32), p<0.05). In contrast, no statistical difference between these two groups was found in age, gender, disease duration, cognition, motor subtype and Hoehn-Yahr stage. Dopaminergic uptake differences between levodopa non-responders (n = 17) and responders (n = 29) were shown in the left inferior frontal cortex (1.00 ± 0.09 vs 1.07 ± 0.08, p < 0.05 and FDR < 0.2), the right posterior cingulum (1.10 ± 0.10 vs 1.20 ± 0.13, p < 0.05 and FDR < 0.2) and the right insula (1.21 ± 0.12 vs 1.30 ± 0.10, p < 0.05 and FDR < 0.2). The metabolic alterations between levodopa non-responders (n = 16) and responders (n = 26) were shown in the right supplementary motor area (1.30 (1.18, 1.39) vs 1.41 (1.31, 1.53), p < 0.05 and FDR < 0.2), right precuneus (1.37 ± 0.10 vs 1.47 ± 0.18, p < 0.05 and FDR < 0.2), right parietal cortex (1.14 ± 0.15 vs 1.27 ± 0.21, p < 0.05 and FDR < 0.2), right supramarginal gyrus (1.16 (1.12, 1.26) vs 1.25 (1.14, 1.46), p < 0.05 and FDR < 0.2), right postcentral gyrus (1.15 (1.08, 1.32) vs 1.24 (1.17, 1.39), p < 0.05 and FDR < 0.2), medulla (0.75 ± 0.07 vs 0.80 ± 0.07, p < 0.05 and FDR < 0.2), right rolandic operculum (1.25 (1.18, 1.32) vs 1.33 (1.25, 1.50), p < 0.05 and FDR < 0.2), right olfactory (0.95 (0.91, 1.01) vs 1.01 (0.95, 1.15), p < 0.05 and FDR < 0.2), the right insula (1.15 (1.06, 1.22) vs 1.21 (1.12, 1.35), p < 0.05 and FDR < 0.2) and the left cerebellum crus (0.96 (0.91, 1.01) vs 0.92 (0.86, 0.96), p < 0.05 and FDR < 0.2). CONCLUSIONS PD patients with poor response to levodopa showed less severe impairment of baseline motor symptoms, more severe dopaminergic deficits in the left inferior frontal, right posterior cingulate cortex and the right insula, and lower metabolism in the right supplementary motor area, right precuneus, right parietal cortex, right supramarginal gyrus, right postcentral gyrus, medulla, right rolandic operculum, right olfactory, the right insula and higher metabolism in the left cerebellum crus.
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Affiliation(s)
- Yi Wu
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Jun Xu
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xun Sun
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Heng Zhai
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Wang
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xue-Bing Cao
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yan Xu
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Wang H, Hu B, Huang J, Chen L, Yuan M, Tian X, Shi T, Zhao J, Huang W. Predicting the fatigue in Parkinson's disease using inertial sensor gait data and clinical characteristics. Front Neurol 2023; 14:1172320. [PMID: 37388552 PMCID: PMC10303817 DOI: 10.3389/fneur.2023.1172320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/23/2023] [Indexed: 07/01/2023] Open
Abstract
Objectives The study aimed to analyze the clinical features and gait characteristics of patients with Parkinson's disease (PD) who also suffer from fatigue and to develop a model that can help identify fatigue states in the early stages of PD. Methodology A total of 81 PD patients have been enrolled for the Parkinson's Fatigue Scale (PFS-16) assessment and divided into two groups: patients with or without fatigue. Neuropsychological assessments of the two groups, including motor and non-motor symptoms, were collected. The patient's gait characteristics were collected using a wearable inertial sensor device. Results PD patients who experienced fatigue had a more significant impairment of motor symptoms than those who did not, and the experience of fatigue became more pronounced as the disease progressed. Patients with fatigue had more significant mood disorders and sleep disturbances, which can lead to a poorer quality of life. PD patients with fatigue had shorter step lengths, lower velocity, and stride length and increased stride length variability. As for kinematic parameters, PD patients with fatigue had lower shank-forward swing max, trunk-max sagittal angular velocity, and lumbar-max coronal angular velocity than PD patients without fatigue. The binary logistic analysis found that Movement Disorder Society-Unified Parkinson's Disease Rating Scale-I (MDS-UPDRS-I) scores, Hamilton Depression Scale (HAMD) scores, and stride length variability independently predicted fatigue in PD patients. The area under the curve (AUC) of these selected factors in the receiver operating characteristic (ROC) analysis was 0.900. Moreover, HAMD might completely mediate the association between Hamilton Anxiety Scale (HAMA) scores and fatigue (indirect effect: β = 0.032, 95% confidence interval: 0.001-0.062), with a percentage of mediation of 55.46%. Conclusion Combining clinical characteristics and gait cycle parameters, including MDS-UPDRS-I scores, HAMD scores, and stride length variability, can identify PD patients with a high fatigue risk.
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Affiliation(s)
- Hui Wang
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Binbin Hu
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Juan Huang
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lin Chen
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Min Yuan
- Department of Neurology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Xingfu Tian
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ting Shi
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jiahao Zhao
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Huang
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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Yuan YS, Ji M, Gan CT, Sun HM, Wang LN, Zhang KZ. Impaired Interhemispheric Synchrony in Parkinson’s Disease with Fatigue. J Pers Med 2022; 12:jpm12060884. [PMID: 35743669 PMCID: PMC9225138 DOI: 10.3390/jpm12060884] [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: 03/19/2022] [Revised: 05/20/2022] [Accepted: 05/24/2022] [Indexed: 02/01/2023] Open
Abstract
The characteristics of interhemispheric resting-state functional connectivity (FC) in Parkinson’s disease (PD) with fatigue remain unclear; therefore, we aimed to explore the changes in interhemispheric FC in PD patients with fatigue. Sixteen PD patients with fatigue (PDF), 16 PD patients without fatigue (PDNF) and 15 matched healthy controls (HCs) were enrolled in the retrospective cross-sectional study. We used voxel-mirrored homotopic connectivity (VMHC) to analyze the resting-state functional magnetic resonance imaging (fMRI) data of these subjects. Compared to PDNF, PDF patients had decreased VMHC values in the supramarginal gyri (SMG). Furthermore, the mean VMHC values of the SMG were negatively correlated with the mean fatigue severity scale (FSS/9) scores (r = −0.754, p = 0.001). Compared to HCs, PDF patients had decreased VMHC in the SMG and in the opercular parts of the inferior frontal gyri (IFG operc). The VMHC values in the IFG operc and middle frontal gyri (MFG) were notably decreased in PDNF patients compared with HCs. Our findings suggest that the reduced VMHC values within the bilateral SMG may be the unique imaging features of fatigue in PD, and may illuminate the neural mechanisms of fatigue in PD.
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Tang S, Wang Y, Liu Y, Chau SW, Chan JW, Chu WC, Abrigo JM, Mok VC, Wing YK. Large-scale network dysfunction in α-Synucleinopathy: A meta-analysis of resting-state functional connectivity. EBioMedicine 2022; 77:103915. [PMID: 35259574 PMCID: PMC8904227 DOI: 10.1016/j.ebiom.2022.103915] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/18/2022] [Accepted: 02/18/2022] [Indexed: 01/22/2023] Open
Abstract
Background Although dysfunction of large-scale brain networks has been frequently demonstrated in patients with α-Synucleinopathy (α-Syn, i.e., Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy), a consistent pattern of dysfunction remains unclear. We aim to investigate network dysfunction in patients with α-Syn through a meta-analysis. Methods Whole-brain seed-based resting-state functional connectivity studies (published before September 1st, 2020 in English) comparing α-Syn patients with healthy controls (HC) were retrieved from electronic databases (PubMed, Web of Science, and EMBASE). Seeds from each study were categorized into networks by their location within a priori functional networks. Seed-based effect size mapping with Permutation of Subject Images analysis of between-group effects identified the network systems in which α-Syn was associated with hyperconnectivity (increased connectivity in α-Syn vs. HC) or hypoconnectivity (decreased connectivity in α-Syn vs. HC) within and between each seed-network. This study was registered on PROSPERO (CRD42020210133). Findings In total, 136 seed-based voxel-wise resting-state functional connectivity datasets from 72 publications (3093 α-Syn patients and 3331 HC) were included in the meta-analysis. We found that α-Syn patients demonstrated imbalanced connectivity among subcortical network, cerebellum, and frontal parietal networks that involved in motor functioning and executive control. The patient group was associated with hypoconnectivity in default mode network and ventral attention network that involved in cognition and attention. Additionally, the patient group exhibited hyperconnectivity between neural systems involved in top-down emotion regulation and hypoconnectivity between networks involved in bottom-up emotion processing. Interpretation These findings supported neurocognitive models in which network dysfunction is tightly linked to motor, cognitive and psychiatric symptoms observed in α-Syn patients.
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Affiliation(s)
- Shi Tang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yanlin Wang
- Advanced Computing and Digital Engineering Research, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven Wh Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Winnie Cw Chu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jill M Abrigo
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Béreau M, Castrioto A, Lhommée E, Maillet A, Gérazime A, Bichon A, Pélissier P, Schmitt E, Klinger H, Longato N, Fraix V, Benatru I, Durif F, Azulay JP, Moro E, Broussolle E, Tranchant C, Anheim M, Thobois S, Krack P. Fatigue in de novo Parkinson's Disease: Expanding the Neuropsychiatric Triad? JOURNAL OF PARKINSON'S DISEASE 2022; 12:1329-1337. [PMID: 35253781 DOI: 10.3233/jpd-213116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Fatigue is a frequent and troublesome symptom present from the early stages of Parkinson's disease (PD). OBJECTIVE To examine the relationship between fatigue and the neuropsychiatric triad, which includes apathy, depression, and anxiety, in de novo PD. METHODS We performed a cross-sectional study including 197 patients with de novo PD and assessed fatigue using the Parkinson's Disease Fatigue Scale (PDFS-16). We evaluated motor status using the Unified Parkinson's Disease Rating Scale (UPDRS) part III score and evaluated neuropsychiatric status using the Ardouin Scale of Behavior in Parkinson's Disease (ASBPD). We carried out univariate and multivariate analyses to model association between motor signs, non-motor signs, and fatigue risk. RESULTS Frequency of fatigue (28.9%) was of the same order of magnitude as that of apathy. PD patients with fatigue reported a lower quality of life than patients without fatigue (p < 0.0001). The ASBPD showed that patients with fatigue had higher scores for depressed mood (p < 0.0001), anxiety (p < 0.0001), and apathy (p < 0.0001). In the univariate analysis, fatigue score was positively correlated with apathy, depression, anxiety, and the neuropsychiatric triad as a whole, and to a lesser extent with female sex, hyperemotivity, and the UPDRS part III score. In the multivariate analysis, after adjusting for sex and motor status, the fatigue score remained significantly correlated with apathy (OR = 11.17 [4.33-28.78], p < 0.0001) and depression (OR = 4.28 [1.39-13.12], p = 0.01), but not with anxiety (OR = 0.94 [0.34-2.58], p = 0.9). CONCLUSION We propose that the neuropsychiatric triad could be expanded to include fatigue.
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Affiliation(s)
- Matthieu Béreau
- Department of Neurology, University Hospital of Besançon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR LINC, Université Bourgogne Franche-Comté, Besançon, France
- NS-PARK/FCRIN Network, France
| | - Anna Castrioto
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Eugénie Lhommée
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Audrey Maillet
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Aurélie Gérazime
- Unité de Méthodologie, CIC INSERM 1431, CHRU de Besançon, Besançon, France
| | - Amélie Bichon
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Pierre Pélissier
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Emmanuelle Schmitt
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Hélène Klinger
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Nadine Longato
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Valérie Fraix
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Isabelle Benatru
- Department of Neurology, University Hospital of Poitiers, Poitiers, France
- INSERM, CHU de Poitiers, University of Poitiers, Centre d'Investigation Clinique CIC1402, Poitiers, France
| | - Franck Durif
- Neurology Department, Université Clermont Auvergne, EA7280 NPsy-Sydo, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Jean-Philippe Azulay
- Movement Disorders Unit, Neurology Department, University Hospital of Marseille, Marseille, France
| | - Elena Moro
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Emmanuel Broussolle
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Christine Tranchant
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Mathieu Anheim
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), INSERM-U964/CNRS-UMR7104/Université de Strasbourg, Illkirch, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Stéphane Thobois
- NS-PARK/FCRIN Network, France
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Paul Krack
- Movement Disorders Center, Department of Neurology, University Hospital of Bern, Bern, Switzerland
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Rahimpour S, Rajkumar S, Hallett M. The Supplementary Motor Complex in Parkinson's Disease. J Mov Disord 2021; 15:21-32. [PMID: 34814237 PMCID: PMC8820882 DOI: 10.14802/jmd.21075] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/14/2021] [Indexed: 11/24/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by both motor and nonmotor symptoms. Although the basal ganglia is traditionally the primary brain region implicated in this disease process, this limited view ignores the roles of the cortex and cerebellum that are networked with the basal ganglia to support motor and cognitive functions. In particular, recent research has highlighted dysfunction in the supplementary motor complex (SMC) in patients with PD. Using the PubMed and Google Scholar search engines, we identified research articles using keywords pertaining to the involvement of the SMC in action sequencing impairments, temporal processing disturbances, and gait impairment in patients with PD. A review of abstracts and full-text articles was used to identify relevant articles. In this review of 63 articles, we focus on the role of the SMC in PD, highlighting anatomical and functional data to create new perspectives in understanding clinical symptoms and, potentially, new therapeutic targets. The SMC has a nuanced role in the pathophysiology of PD, with both hypo- and hyperactivation associated with various symptoms. Further studies using more standardized patient populations and functional tasks are needed to more clearly elucidate the role of this region in the pathophysiology and treatment of PD.
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Affiliation(s)
- Shervin Rahimpour
- Department of Neurosurgery, Clinical Neuroscience Center, University of Utah, Salt Lake City, UT, USA
| | - Shashank Rajkumar
- Department of Neurosurgery, Duke University Hospital, Durham, NC, USA
| | - Mark Hallett
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Siciliano M, De Micco R, Trojano L, Sant'Elia V, Giordano A, Russo A, Passamonti L, Tedeschi G, Chiorri C, Tessitore A. The psychological correlates of fatigue in Parkinson's disease: Contribution of maladaptive metacognitive beliefs. Parkinsonism Relat Disord 2021; 91:135-138. [PMID: 34607090 DOI: 10.1016/j.parkreldis.2021.09.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 09/06/2021] [Accepted: 09/26/2021] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Psychological factors can underlie fatigue in neurological disorders, but its relationship to fatigue in Parkinson's disease (PD) has not been explored. We assessed the association between maladaptive metacognitive beliefs and presence of fatigue in PD. METHODS Ninety-eight consecutive outpatients with PD (61% male; median age: 66.50 years) were assessed in terms of demographic, clinical, medication treatment, cognitive, or behavioural characteristics including metacognitive beliefs (Metacognitions Questionnaire-30 or MCQ). Fatigue was ascertained by PD-related diagnostic criteria. Univariate statistical approach (Mann-Whitney and Pearson chi-square tests) was used to compare PD patients with (f-PD) or without (nf-PD) fatigue in terms of demographic, clinical, medication treatment, cognitive, behavioural, and metacognitive measures. RESULTS Twenty-one PD patients (21%) displayed fatigue. The f-PD group scored higher on the MCQ-total score, MCQ-Cognitive Confidence subscale, and all behavioral measures (ps < 0.01) relative to nf-PD. They also had a more advanced Hoehn and Yahr stage and Unified Parkinson's Disease Rating Scale-III score. CONCLUSION Maladaptive metacognitive beliefs such as the lack of cognitive confidence may play a key role to trigger and maintain fatigue in PD. Future studies, using a multivariate statistical approach, are needed to confirm these preliminary findings in a larger sample of patients with fatigue and to assess if modification of such metacognitive beliefs has the potential to ameliorate fatigue in PD.
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Affiliation(s)
- Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy; Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| | - Rosa De Micco
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy
| | - Lugi Trojano
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| | - Valeria Sant'Elia
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy
| | - Alfonso Giordano
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy
| | - Antonio Russo
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy
| | - Luca Passamonti
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Institute of Molecular Bioimaging and Physiology, CNR, Milan, Italy.
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy
| | - Carlo Chiorri
- Department of Educational Sciences, University of Genova, Genova, Italy
| | - Alessandro Tessitore
- Department of Advanced Medical and Surgical Sciences - MRI Research Center Vanvitelli-FISM, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy.
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Di Vico IA, Cirillo G, Tessitore A, Siciliano M, Venturelli M, Falup-Pecurariu C, Tedeschi G, Morgante F, Tinazzi M. Fatigue in hypokinetic, hyperkinetic, and functional movement disorders. Parkinsonism Relat Disord 2021; 86:114-123. [PMID: 33839028 DOI: 10.1016/j.parkreldis.2021.03.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/25/2021] [Accepted: 03/19/2021] [Indexed: 12/20/2022]
Abstract
The emerging science of fatigue has soundly endorsed the need for its unified definition, shared terminology and increased recognition in neurological illnesses. Nevertheless, the real impact of fatigue remains under-recognized. Fatigue describes a sense of tiredness, lack of energy or need for increased effort often perceived as overwhelming, pervasive, and disabling. It is a common feature of chronic medical conditions and neurological diseases, including Parkinson's disease (PD) and other hypokinetic, hyperkinetic, and functional movement disorders (FMD). While there is solid evidence for the burden of fatigue in PD, knowledge of fatigue in other movement disorders (MDS) is still limited. Lack of consensus definition, rigorous measures and the high prevalence of potential confounders such as apathy, depression and sleepiness are the main obstacles in studying fatigue in MDS. This review of the prevalence, impact, and clinical correlates of fatigue in common MDS summarizes current hypotheses for the pathophysiological mechanisms underlying fatigue and gives a brief overview of treatment options. Fatigue is a prevalent, disabling, primary non-motor symptom (NMS) in MDS, including atypical and secondary parkinsonisms, dystonia, essential tremor (ET) and a hallmark feature of FMD. We report the hypothesis that fatigue is a perceptual disorder of the sensorimotor system. Given the relevance of this burdensome symptom, fatigue deserves greater clinical and research attention to better understand its manifestation and pathophysiology and to improve diagnosis and treatment.
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Affiliation(s)
- Ilaria Antonella Di Vico
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Giovanni Cirillo
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy; Division of Human Anatomy - Neuronal Networks Morphology Lab, University of Campania "Luigi Vanvitelli", Naples, Italy; I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alessandro Tessitore
- I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mattia Siciliano
- I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy; Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Massimo Venturelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Gioacchino Tedeschi
- I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Francesca Morgante
- Institute of Molecular and Clinical Sciences, St George's University of London, London, UK; Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Michele Tinazzi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
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