Enhanced brain functional connectivity and activation after 12-week Tai Chi-based action observation training in patients with Parkinson’s disease DOI Creative Commons
Lin Meng, Deyu Wang, Yu Shi

et al.

Frontiers in Aging Neuroscience, Journal Year: 2023, Volume and Issue: 15

Published: Oct. 10, 2023

Motor-cognitive interactive interventions, such as action observation training (AOT), have shown great potential in restoring cognitive function and motor behaviors. It is expected that an advanced AOT incorporating specific Tai Chi movements with continuous spiral characteristics can facilitate the shift from automatic to intentional actions thus enhance control ability for early-stage PD. Nonetheless, underlying neural mechanisms remain unclear. The study aimed investigate changes brain functional connectivity (FC) clinical improvement after 12 weeks of Chi-based (TC-AOT) compared traditional physical therapy (TPT).Thirty PD patients were recruited randomly assigned TC-AOT group (N = 15) or TPT 15). All participants underwent resting-state magnetic resonance imaging (rs-fMRI) scans before assessments. FCs evaluated by seed-based correlation analysis based on default mode network (DMN). rehabilitation effects two methods while correlations between significant FC investigated.The results showed exhibited significantly increased dorsal medial prefrontal cortex cerebellum crus I, posterior inferior parietal lobe supramarginal gyrus, temporal junction clusters middle occipital gyrus superior temporal. Moreover, these had a positive relationship patients' improved performance.The finding supported promotes outcomes promoting neuroplasticity where involved integration sensorimotor processing learning strengthened.

Language: Английский

Combined effects of virtual reality techniques and motor imagery on balance, motor function and activities of daily living in patients with Parkinson’s disease: a randomized controlled trial DOI Creative Commons
Muhammad Kashif, Ashfaq Ahmad,

Muhammad Ali Mohseni Bandpei

et al.

BMC Geriatrics, Journal Year: 2022, Volume and Issue: 22(1)

Published: April 29, 2022

Abstract Background Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder, impairing balance and motor function. Virtual reality (VR) imagery (MI) are emerging techniques for rehabilitating people with PD. VR MI combination have not been studied in PD patients. This study was conducted to investigate combined effects of on balance, function, activities daily living (ADLs) patients Methods a single-centered, two-armed, parallel-designed randomized controlled trial. A total 44 either gender who had idiopathic were randomly allocated into two groups using lottery methods. Both received Physical therapy (PT) treatment, while experimental group (N: 20) addition PT. assigned treatment three days week alternate 12 weeks. The Unified Parkinson’s Disease Rating Scale (UPDRS) (parts II III), Berg Balance (BBS), Activities-specific Confidence (ABC) used as outcome measures ADLs. baseline, 6 th , weeks assessed, 16 follow-up measure retention. data analysed SPSS 24. Results showed significant improvement function than control UPDRS part III, 32.45±3.98 vs. 31.86±4.62 before 15.05±7.16 25.52±7.36 at 12-weeks, p -value < 0.001. At weeks, group's BBS scores improved from 38.95±3.23 51.36±2.83, confidence considerably, 59.26±5.87to 81.01±6.14, ADL well, going 22.00±4.64 13.07±4.005 after Conclusion routine PT significantly ADLs compared alone. Trial registration IRCT20200221046567N1 . Date registration: 01/04/2020

Language: Английский

Citations

45
EEG-Based Parkinson's Disease Recognition via Attention-Based Sparse Graph Convolutional Neural Network DOI
Hongli Chang, Bo Liu, Yuan Zong

et al.

IEEE Journal of Biomedical and Health Informatics, Journal Year: 2023, Volume and Issue: 27(11), P. 5216 - 5224

Published: July 5, 2023

Parkinson's disease (PD) is a complicated neurological ailment that affects both the physical and mental wellness of elderly individuals which makes it problematic to diagnose in its initial stages. Electroencephalogram (EEG) promises be an efficient cost-effective method for promptly detecting cognitive impairment PD. Nevertheless, prevailing diagnostic practices utilizing EEG features have failed examine functional connectivity among channels response associated brain areas causing unsatisfactory level precision. Here, we construct attention-based sparse graph convolutional neural network (ASGCNN) diagnosing Our ASGCNN model uses structure represent channel relationships, attention mechanism selecting channels, L1 norm capture sparsity. We conduct extensive experiments on publicly available PD auditory oddball dataset, consists 24 patients (under ON/OFF drug status) matched controls, validate effectiveness our method. results show proposed provides better compared baselines. The achieved scores Recall, Precision, F1-score, Accuracy Kappa measures are 90.36%, 88.43%, 88.41%, 87.67%, 75.24%, respectively. study reveals frontal temporal lobes significant differences between healthy individuals. In addition, extracted by demonstrate asymmetry lobe patients. These findings can offer basis establishment clinical system intelligent diagnosis using features.

Language: Английский

Citations

30
The Impact of Motor-Cognitive Dual-Task Training on Physical and Cognitive Functions in Parkinson’s Disease DOI Creative Commons
Yi Xiao,

Tianmi Yang,

Huifang Shang

et al.

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(3), P. 437 - 437

Published: March 3, 2023

Rehabilitation is a high-potential approach to improving physical and cognitive functions in Parkinson’s disease (PD). Dual-task training innovatively combines motor rehabilitation comprehensive module. Patients perform tasks at the same time dual-task training. The previous studies of PD had high heterogeneity achieved controversial results. In current review, we aim summarize evidence effect on patients support clinical practice addition, also discuss opinions regarding mechanism underlying interaction between conclusion, suitable for with varied duration improve their function. can symptoms, single-task gait speed, steep length, balance, objective experience freezing PD. improvement function after mild.

Language: Английский

Citations

29
Probiotic Pediococcus pentosaceus ameliorates MPTP-induced oxidative stress via regulating the gut microbiota–gut–brain axis DOI Creative Commons
Sipei Pan, Hongming Wei,

Shushu Yuan

et al.

Frontiers in Cellular and Infection Microbiology, Journal Year: 2022, Volume and Issue: 12

Published: Nov. 9, 2022

Recent evidence demonstrated that functional bacteria were involved in the regulation of Parkinson's disease (PD). However, mechanism probiotics improving PD was unclear. Here antioxidant effect and Pediococcus pentosaceus (PP) on studied by regulating gut-brain axis. In this study, male C57BL/6J mice injected with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) intraperitoneally to establish a model then treated PP for 4 weeks. Subsequently, series neurobehavioral tests evaluate motor function performed. Additionally, degeneration dopaminergic neurons, accumulation α-synuclein, production an oxidative stress response, expression nuclear factor erythroid 2-related 2 (Nrf2) pathway-related proteins evaluated. Moreover, gut microbial composition level metabolite γ-aminobutyric acid (GABA) assessed. The results showed treatment could improve MPTP-induced deficits, α-synuclein. significantly increased levels SOD1, Gpx1, Nrf2, while it decreased Keap1 brain mice. Notably, improved dysbiosis GABA These findings indicated might represent promising candidate, due GABA, be used PD.

Language: Английский

Citations

30
Bibliometric and visualized analysis of dynamic balance and brain function using web of science and CiteSpace from 1995 to 2022 DOI Creative Commons

Mengjiao Liu,

Jian He,

Dongwei Liu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24300 - e24300

Published: Jan. 1, 2024

This study aims to explore the dynamic balance of human beings and investigate relationship between functional structure as well connectivity. Through a comprehensive bibliometric visual analysis research literature from 1995 2022, we quantitatively display development brain connection. Our objective is present new trends frontiers in function through bibliometrics software, providing valuable insights for future this domain.

Language: Английский

Citations

6
Cerebro-cerebellar motor networks in clinical subtypes of Parkinson’s disease DOI Creative Commons
Silvia Basaia, Federica Agosta,

Alessandro Francia

et al.

npj Parkinson s Disease, Journal Year: 2022, Volume and Issue: 8(1)

Published: Sept. 6, 2022

Abstract Parkinson’s disease (PD) patients can be classified in tremor-dominant (TD) and postural-instability-and-gait-disorder (PIGD) motor subtypes. PIGD represents a more aggressive form of the that TD have potentiality converting into. This study investigated functional alterations within cerebro-cerebellar system PD-TD PD-PIGD using stepwise connectivity (SFC) analysis identified neuroimaging features predict to conversion. Thirty-two PD-TD, 26 60 healthy controls performed clinical/cognitive evaluations resting-state MRI (fMRI). Four-year clinical follow-up data were available for 28 patients, who 10 converters (cTD-PD) 18 non-converters (ncTD-PD) PIGD. The cerebellar seed-region was fMRI task. SFC analysis, characterizing regions connect brain areas seed at different levels link-step distances, evaluated similar divergent PD-PIGD. discriminatory power and/or distinguishing cPD-TD from ncPD-TD assessed ROC curve analysis. Compared showed decreased temporal lobe occipital lobes increased cortex ponto-medullary junction. Considering subtype-conversion characterized by cerebellum junction relative group. Combining data, curves provided highest classification identify conversion These findings provide novel insights into pathophysiology underlying PD phenotypes potential tool early characterization risk

Language: Английский

Citations

26
Dual-task gait training improves cognition and resting-state functional connectivity in Parkinson’s disease with postural instability and gait disorders DOI
Michela Leocadi, Elisa Canu, Elisabetta Sarasso

et al.

Journal of Neurology, Journal Year: 2024, Volume and Issue: 271(4), P. 2031 - 2041

Published: Jan. 8, 2024

Language: Английский

Citations

5
Cerebellar alterations in Parkinson’s disease with postural instability and gait disorders DOI
Andrea Gardoni, Federica Agosta, Elisabetta Sarasso

et al.

Journal of Neurology, Journal Year: 2022, Volume and Issue: 270(3), P. 1735 - 1744

Published: Dec. 19, 2022

Language: Английский

Citations

21
Postural control of Parkinson’s disease: A visualized analysis based on Citespace knowledge graph DOI Creative Commons
Yan Li,

Jiejiao Zheng,

Xie Wu

et al.

Frontiers in Aging Neuroscience, Journal Year: 2023, Volume and Issue: 15

Published: March 24, 2023

Postural control impairment is one of the primary motor symptoms in patients with Parkinson’s disease, leading to an increased risk falling. Several studies have been conducted on postural disorders disease patients, but no relevant bibliometric analysis has found. In this paper, Web Science Core Collection database was searched for 1,295 papers from December 2011 2021. Based Citespace knowledge graph, these over last decade were analyzed perspectives annual publication volume, countries and institutes cooperation, authors dual-map overlay journals, co-citation literature, keywords. The purpose study explore current research status, hotspots, frontiers field, provide a reference further promoting patients.

Language: Английский

Citations

12
Action Observation and Motor Imagery as a Treatment in Patients with Parkinson’s Disease DOI Creative Commons
Susanna Mezzarobba, Gaia Bonassi,

Laura Avanzino

et al.

Journal of Parkinson s Disease, Journal Year: 2024, Volume and Issue: 14(s1), P. S53 - S64

Published: Jan. 16, 2024

Action observation (AO) and motor imagery (MI) has emerged as promising tool for physiotherapy intervention in Parkinson’s disease (PD). This narrative review summarizes why, how, when applying AO MI training individual with PD. We report the neural underpinning of their effects on learning. examine characteristics current evidence regarding effectiveness interventions we provide suggestions about implementation technologies. Neurophysiological data suggest a substantial correct activation brain networks underlying people PD, although occurrence compensatory mechanisms been documented. Regarding efficacy training, general indicates that both these techniques improve mobility functional activities However, findings should be interpreted caution due to variety study designs, characteristics, modalities which were applied. Finally, results long-term are still uncertain. Several elements considered optimize use clinical setting, such selection task, or video perspectives, training. comprehensive assessment, including cognitive abilities, is essential select between suite best each PD patients. Much unrealized potential exists personalized aimed at fostering learning clinic home setting.

Language: Английский

Citations

4