Emerging Paradigms in Exercise-Based Neuro-Physiotherapy for Holistic Motor and Cognitive Rehabilitation in Parkinson’s Disease DOI

Sumbal Imama,

Zulekha Zameer

THE THERAPIST (Journal of Therapies & Rehabilitation Sciences), Journal Year: 2024, Volume and Issue: unknown, P. 02 - 10

Published: Dec. 31, 2024

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that affects motor and non-motor functions, including cognitive, emotional autonomic systems, severely impacting quality of life. The symptoms PD are successfully treated by traditional physiotherapy, but such treatments often fail to address the complexity variety PD. Advancements in exercise-based neuro-physiotherapy reviewed, with focus on innovative multimodal approaches combining cognitive rehabilitation. Technology driven interventions like virtual reality, robotics AI add real time feedback personalized care therapy, while strategies dual task training mindfulness practice impairments. Comprehensive benefits exercise programs include aerobic, strength flexibility exercises targeted achieve both physical mental health. Comparative analysis traditional, emerging shows their strengths weaknesses, highlights need for tailored interventions. Future directions directed at longitudinal research, combination pharmacological surgical treatments, use biomarkers design therapy enhance outcomes life patients

Language: Английский

A Plantar Pressure Detection and Gait Analysis System Based on Flexible Triboelectric Pressure Sensor Array and Deep Learning DOI

Hanyan Zhou,

Yingying Gui,

Guangqin Gu

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 30, 2024

Abstract Gait detection is essential for the assessment of human health status and early diagnosis diseases. The current gait analysis systems are bulky, limited in scope use, cause interference with movement measured person. Hence, it necessary to develop a wearable system that soft, breathable, lightweight, self‐powered. Here, plantar pressure sensor array based on flexible triboelectric (FTPS) developed. Soft, electrospinning nanofiber film excellent properties used as sensor, achieving high sensitivity 45.1 mV kPa −1 range 40–200 19.4 200–400 kpa. 32 FTPSs integrated into an intelligent insole, which has characteristics easy production, good air permeability, long‐time stability, no external power supply, etc. Based long short‐term memory artificial neural network deep learning model, accuracy judgment can reach 94.23%. This work provides feasible solution real‐time detection, will have potential applications disease.

Language: Английский

Citations

6

Hypoxia Sensing and Responses in Parkinson’s Disease DOI Open Access
Johannes Burtscher, Yves Duderstadt, Hannes Gatterer

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(3), P. 1759 - 1759

Published: Feb. 1, 2024

Parkinson’s disease (PD) is associated with various deficits in sensing and responding to reductions oxygen availability (hypoxia). Here we summarize the evidence pointing a central role of hypoxia PD, discuss relation dependence pathological hallmarks including mitochondrial dysfunction, dopaminergic vulnerability, alpha-synuclein-related pathology, highlight link cellular systemic sensing. We describe cases suggesting that may trigger Parkinsonian symptoms but also emphasize endogenous systems protect from can be harnessed PD. Finally, provide examples preclinical clinical research substantiating this potential.

Language: Английский

Citations

5

Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices DOI Creative Commons
Evgenia Lazarou,

Themis P. Exarchos

AIMS neuroscience, Journal Year: 2024, Volume and Issue: 11(2), P. 76 - 102

Published: Jan. 1, 2024

<abstract> <p>Stress has emerged as a prominent and multifaceted health concern in contemporary society, manifesting detrimental effects on individuals' physical mental well-being. The ability to accurately predict stress levels real time holds significant promise for facilitating timely interventions personalized management strategies. increasing incidence of stress-related issues highlights the importance thoroughly understanding prediction mechanisms. Given that is contributing factor wide array problems, objectively assessing crucial behavioral physiological studies. While numerous studies have assessed controlled environments, objective evaluation everyday settings still needs be explored, primarily due contextual factors limitations self-report adherence. This short review explored emerging field real-time prediction, focusing utilizing data collected by wearable devices. Stress was examined from comprehensive standpoint, acknowledging its both synthesized existing research development application models, underscoring advancements, challenges, future directions this rapidly evolving domain. Emphasis placed examining critically evaluating literature analysis, devices monitoring. synthesis findings aimed contribute better potential technology predicting time, thereby informing design effective approaches.</p> </abstract>

Language: Английский

Citations

5

Epigenetic regulation of iron metabolism and ferroptosis in Parkinson’s disease: Identifying novel epigenetic targets DOI

Xiaodie Gao,

Jun Ding, Junxia Xie

et al.

Acta Pharmacologica Sinica, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

Citations

0

Dual-response fluorescent probe for real-time super-resolution imaging of mitochondrial nucleoprotein dynamics in Parkinson's disease DOI
Wei Huang, Dong Wang,

Po Hu

et al.

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: unknown, P. 137703 - 137703

Published: March 1, 2025

Language: Английский

Citations

0

Gait detection of lower limb exoskeleton robot integrating visual perception and geometric features DOI
Bo Huang, Jian Lv,

Ligang Qiang

et al.

Intelligent Service Robotics, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0

Listerin promotes α-synuclein degradation to alleviate Parkinson’s disease through the ESCRT pathway DOI Creative Commons

Fei Qin,

R. Cao, Wenjing Cui

et al.

Science Advances, Journal Year: 2025, Volume and Issue: 11(7)

Published: Feb. 12, 2025

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by the progressive accumulation of abnormal α-synuclein (α-syn) within dopaminergic neurons in substantia nigra region brain. Despite excessive α-syn being key to pathogenesis PD, mechanisms governing its clearance remain elusive. In this study, we found that endosomal sorting complex required for transport (ESCRT) system plays crucial role capturing and facilitating degradation ubiquitinated α-syn. The E3 ubiquitin ligase Listerin was promote K27-linked polyubiquitination α-syn, directing it endosome subsequent degradation. We showed deletion gene exacerbates progression mouse model whereas overexpression effectively mitigates PD mice. Consequently, our study reveals mechanism identifies as promising therapeutic target treatment PD.

Language: Английский

Citations

0

The Power of Exercise: Unlocking the biological Mysteries of Peripheral-Central crosstalk in Parkinson’s disease DOI Creative Commons
Jingwen Li, Tingting Liu,

Meiyan Xian

et al.

Journal of Advanced Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Digital Biomarkers for Parkinson's Disease: A Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait (Preprint) DOI Creative Commons
Wenhao Qi,

S. Shen,

Chaoqun Dong

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Language: Английский

Citations

0

Movement analysis in the diagnosis and management of Parkinson’s disease DOI Creative Commons
Johannes Burtscher, Nicolas Bourdillon, Jules M. Janssen Daalen

et al.

Neural Regeneration Research, Journal Year: 2024, Volume and Issue: 20(2), P. 485 - 486

Published: May 10, 2024

Burtscher, Johannes; Bourdillon, Nicolas; Janssen Daalen, Jules M.; Patoz, Aurélien; Bally, Julien F.; Kopp, Martin; Malatesta, Davide; Bloem, Bastiaan R. Author Information

Language: Английский

Citations

1