Efficacy of repetitive transcranial magnetic stimulation in Parkinson's disease: A systematic review and meta-analysis of randomised controlled trials

EClinicalMedicine, Journal Year: 2022, Volume and Issue: 52, P. 101589 - 101589

Published: July 30, 2022

Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive form of brain that positively regulates the motor and non-motor symptoms Parkinson's disease (PD). Although, most reviews meta-analysis have shown rTMS intervention effective in treating depression, very few used randomised controlled trials (RCTs) to analyse efficacy this PD. We aimed review RCTs patients with PD assess on function PD.In systematic meta-analysis, we searched PubMed, MEDLINE Web Science databases for published between January 1, 1988 2022. Eligible studies included sham-controlled or not focusing were excluded. Summary data extracting from those by two investigators independently. then calculated standardised mean difference random-effect models. The main outcome examination scales assessment. This study was registered PROSPERO, CRD42022329633.Fourteen 469 met criteria our meta-analysis. Twelve eligible 381 pooled improvement. effect size scale scores 0.51 (P < 0.0001) distinctly heterogeneous (I2 = 29%). Five 202 collected evaluate antidepressant-like effects. depression 0.42 0.004), 25%), indicating significant anti-depressive 0.004). results suggest high-frequency primary cortex (M1) improving symptoms; while dorsolateral prefrontal (DLPFC) may be potentially area alleviating depressive symptom.The findings could as possible adjuvant therapy mainly improve symptoms, but potential However, further investigation needed.The National Natural Foundation China (NO: 81873777, 82071414), Initiated Zhujiang Hospital 02020318005), Scientific Research Guangzhou 202206010005), Technology Program Guangdong 2020A0505100037).

Language: Английский

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Integrated data envelopment analysis, multi-criteria decision making, and cluster analysis methods: Trends and perspectives

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 8, P. 100271 - 100271

Published: June 22, 2023

Data Envelopment Analysis (DEA), Multi-criteria Decision (MCDA), and Cluster (CA) are techniques widely used to help decision-makers determine the solution problems with multiple often conflicting criteria. This study prests a comprehensive review of literature on DEA, MCDA, CA models identify existing potential applications future development trends. To this end, Methodi Ordinatio was applied which publications have greatest impact, considering articles in three databases: Scopus, ScienceDirect, Web Science. We pair two by since no results were found integrate techniques. The point portfolio 490 articles, approximately 43.87% combine DEA MCDA for solving efficiency productivity analysis problems.

Language: Английский

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Two-year clinical progression in focal and diffuse subtypes of Parkinson’s disease

npj Parkinson s Disease, Journal Year: 2023, Volume and Issue: 9(1)

Published: Feb. 17, 2023

Heterogeneity in Parkinson's disease (PD) presents a barrier to understanding mechanisms and developing new treatments. This challenge may be partially overcome by stratifying patients into clinically meaningful subtypes. A recent subtyping scheme classifies de novo PD three subtypes: mild-motor predominant, intermediate, or diffuse-malignant, based on motor impairment, cognitive function, rapid eye movement sleep behavior disorder (RBD) symptoms, autonomic symptoms. We aimed validate this approach large longitudinal cohort of early-to-moderate (n = 499) assessing the influence clinical characteristics at baseline two-year progression. Compared predominant (42%), diffuse-malignant (12%) showed involvement more domains, diffuse hypokinetic-rigid symptoms (decreased lateralization hand/foot focality), faster These findings extend classification subtypes suggest that different pathophysiological (focal versus cerebral propagation) underlie distinct subtype classifications.

Language: Английский

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Cluster analysis in fibromyalgia: a systematic review

Rheumatology International, Journal Year: 2024, Volume and Issue: 44(11), P. 2389 - 2402

Published: May 15, 2024

Language: Английский

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Amygdala-centered fusional connections characterized nonmotor symptoms in Parkinson’s disease

Cerebral Cortex, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Abstract The importance of nonmotor symptoms in understanding the pathogenesis heterogeneity Parkinson’s disease has been highlighted. However, validation specific brain network biomarkers symptom subtypes is currently lacking. By performing a new approach to compute functional connectivity with structural prior using magnetic resonance imaging, present study computed both and fusional features disease, one characterized by cognitive impairment late onset other depression early onset. centered at left amygdala were detected. significantly enhanced classification performance. amygdala-postcentral amygdala-orbital frontal critical for detection, while amygdala-temporooccipital crucial detection. Additionally, between junction sulcus parietooccipital temporooccipital regions contributed differentiating within-subtype correlation analysis revealed that age scores associated amygdala-somatosensory/visual-motor processing areas onset, related amygdala-emotional Our findings highlighted distinct amygdala-centered diverse offering insights pathogenesis-targeted treatments subtypes.

Language: Английский

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Developing a Quantitative Modeling Framework for Risk Propagation Analysis: Application to Preconstruction Delays

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering, Journal Year: 2025, Volume and Issue: 11(2)

Published: Feb. 11, 2025

Language: Английский

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Media consumption patterns and depressive and anxiety symptoms in the Chinese general population during the COVID-19 outbreak

World Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 15(4)

Published: March 25, 2025

Examining patterns of media consumption and their associations with mental health outcomes in the general population during coronavirus disease 2019 (COVID-19) pandemic has implications for public future pandemics. To investigate depressive anxiety symptoms among adults affected by COVID-19 pandemic. A total 8473 were recruited through snowball sampling an online cross-sectional survey. The participants asked to report three sources from which they most frequently acquired knowledge about a checklist nine sources. Depression assessed Patient Health Questionnaire Generalized Anxiety Disorder Scale, respectively. two-step cluster analysis was performed identify distinct clusters Seven identified. lowest prevalence depression (29.1% 22.8%, respectively) observed one, labeled "television news portals clients, minimal social media". highest (43.1%) three, "WeChat, MicroBlog, portals, traditional greatest (35.8%) seven, "news clients WeChat, no newspaper, radio, or portals". Relative significantly elevated risk found six (labeled newspaper radio") seven (adjusted odds ratio = 1.28-1.46, P ≤ 0.011). Multiple logistic regression analyses revealed that infection partially explained variations across clusters. Communication policies should be designed channel crucial pandemic-related information more effectively digital Encouraging use these implementing regulatory reduce misinformation rumors on media, may effective mitigating populations

Language: Английский

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Cluster Analysis of Motor Symptoms in Early-Diagnosed Parkinson’s Disease Patients

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 467 - 467

Published: April 28, 2025

Parkinson’s disease (PD) is a common movement disorder affecting adults. People diagnosed with PD can have multitude of physical (motor) symptoms, including tremors, and rigidness, psychological (non-motor) anxiety depression. These symptoms dramatically affect daily living activities, dressing oneself, preparing meals, speaking writing. Background/Objectives: To determine the symptom similarities differences among patients, method referred to as cluster analysis be applied patient data. This separate patients who differ by presence while grouping similarities. Previous studies provided groups that were defined their age duration—both numerical values—and excluded categorical values, such gender, family history disease, presence. In addition, duration limited in range previous studies, providing group was too similar divide into distinct clusters. Methods: study utilized decision tree data from patients. The automatically determines number clusters, reducing estimation errors, many methods require end user estimate clusters prior applying analysis. A post additional variables conducted, this means describe terms PD, median age, duration, dataset accessed Progression Markers Initiative (PPMI) website. Results Conclusions: results seven subtypes based on motor presence, largest containing half sample, these individuals had three present: bradykinesia, rigidity, tremors.

Language: Английский

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Identifying and validating subtypes of Parkinson's disease based on multimodal MRI data via hierarchical clustering analysis

Frontiers in Human Neuroscience, Journal Year: 2022, Volume and Issue: 16

Published: July 29, 2022

Objective We wished to explore Parkinson's disease (PD) subtypes by clustering analysis based on the multimodal magnetic resonance imaging (MRI) indices amplitude of low-frequency fluctuation (ALFF) and gray matter volume (GMV). Then, we analyzed differences between PD subtypes. Methods Eighty-six patients 44 healthy controls (HCs) were recruited. extracted ALFF GMV according Anatomical Automatic Labeling (AAL) partition using Data Processing Analysis for Brain Imaging (DPABI) software. The Ward linkage method was used hierarchical analysis. DPABI employed compare in groups. Results Two identified. “diffuse malignant subtype” characterized reduced visual-related cortex extensive reduction with severe impairment motor function cognitive function. “mild increased frontal lobe, temporal sensorimotor cortex, a slight decrease mild Conclusion Hierarchical MRI could be identify two These showed different neurodegenerative patterns upon imaging.

Language: Английский

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Clusters of cognitive performance predict long‐term cognitive impairment in elderly patients with subjective memory complaints and healthy controls

Alzheimer s & Dementia, Journal Year: 2024, Volume and Issue: 20(7), P. 4702 - 4716

Published: May 23, 2024

Patients with subjective memory complaints (SMC) may include subgroups different neuropsychological profiles and risks of cognitive impairment.

Language: Английский

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