Parkinson's Disease

An overview of Parkinson's disease: a narrative review.

Parkinson's disease (PD) is a degenerative neurological condition defined by a wide range of motor and non-motor symptoms that can affect function to varying degrees. One of the hallmarks of PD is postural instability (PI), along with rest tremor, stiffness, and bradykinesia. PI is a primary cause of disability and decreased quality of life in people with PD. This paper presents a review of the av...

Scoping review of AI-driven wearable technologies for rehabilitation and functional assessment in Parkinson's disease: a protocol.

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder characterised by high prevalence and disability rates, severely impairing patients' quality of life and imposing a substantial societal burden. Rehabilitation interventions are an essential component of PD management; however, conventional face-to-face rehabilitation is constrained by limited resources and poor adherence. ...

Marine-Derived bioactive compounds from Aquaculture: Receptor-Mediated neuroprotection in neurodegenerative disorders.

Neurodegenerative diseases, like Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), a...

At-home movement state classification using totally implantable cortical-basal ganglia neural interface.

Decoding human movement from invasive neural signals has traditionally relied on complex machine learning algorithms using data collected from short-t...

Autoencoder-driven stride length estimation for individuals with Parkinson's disease using inertial measurement unit-embedded footwear.

BACKGROUND: Gait disorders in Parkinson's disease (PD) are often characterized by reduced stride length, particularly under off-medication conditions....

Differential Neural Substrates of Freezing of Gait in Cerebral Small Vessel Disease and Parkinson Disease: A Dual-tracer PET Study.

PURPOSE: Freezing of gait (FOG) occurs in both Parkinson disease (PD) and cerebral small vessel disease (CSVD), but its mechanism in CSVD is unknown. ...

Efficacy of a social robot-assisted training for socio-cognitive and cognitive functions in Parkinson's disease: A comparison with an active control group.

This study evaluated the efficacy of 12-week of Socially Assistive Robot (SAR) training program on socio-cognitive and cognitive functions in 11 indiv...

De novo identification of potent ingredients for proteasome activation in MT101-5 using an AI-driven approach.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the intracellular accumulation of α-synuclein (α-syn) protein within Lewy bo...

Theoretical Insights on the Regulatory Mechanisms of Structure and Doping on the Photoluminescence of Ligand Protected Gold Nanoclusters.

ConspectusLigand-protected gold nanoclusters (Au NCs) occupy a unique region between molecules and bulk metals, garnering significant attention due to...

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-motor symptoms. Mental and behavioural non-motor s...

Utility of gait biomarkers in screening for obstructive sleep apnea among patients with Parkinson's disease: a cross-sectional study.

Surface-enhanced Raman spectroscopy of serum exosomes coupled with support vector machine for diagnosis of Parkinson's disease.

Parkinson's disease (PD) diagnosis faces substantial challenges due to the lack of reliable biomarkers and the limitations of existing detection techn...

Unraveling the Mechanistic Spectrum of Myhre Syndrome: SMAD4 Signaling Disruption, Skeletal Phenotypes, and Translational Innovation.

Myhre syndrome (MYHRS) is an ultra-rare, progressive multisystem disorder caused by recurrent heterozygous missense variants in the SMAD4 gene, a cent...

Accessible assessment of motor and cognitive symptoms in Parkinson's disease: integrating large datasets, machine-learning, and videoconferencing.

In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalability, and geographical diversity challenges. We aimed...

AI-driven biomarker learning for the early diagnosis of neurodegenerative diseases: ABLEDx.

BACKGROUND: Tears are an easily accessible biofluid that reflects both emotional states and disease conditions. They are particularly enriched in extr...

Performance of machine learning algorithms in diffusion tensor imaging of movement disorders: an exploratory meta-analysis.

BACKGROUND: Machine learning (ML) applied to diffusion tensor imaging (DTI) has emerged as a promising tool for detecting microstructural brain altera...

Probabilistic mapping and automated segmentation of human brainstem white matter bundles.

Brainstem white matter (WM) bundles are essential conduits for neural signals that modulate homeostasis and consciousness. Their architecture forms th...

An ensemble machine learning classifier for Parkinson's disease diagnosis using optical coherence tomography angiography.

Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder worldwide, yet its early diagnosis remains a major challenge due to the abs...

Artificial intelligence and machine learning in neurodegenerative disease management: A 21st century paradigm.

Neurodegenerative diseases represent a major and growing clinical challenge due to their progressive nature, biological heterogeneity, and limited the...

Stiffness enhanced reconfigurable soft hand for versatile stable grasps and in-hand manipulation.

Traditional soft robotic grippers often lack the structural rigidity required to maintain stable poses under external forces, as well as the fine cont...