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The gut–brain axis and its relation to Parkinson's disease: a review
EM Klann, U Dissanayake, A Gurrala… - Frontiers in aging …, 2022 - frontiersin.org
Parkinson's disease is a chronic neurodegenerative disease characterized by the
accumulation of misfolded alpha-synuclein protein (Lewy bodies) in dopaminergic neurons …
accumulation of misfolded alpha-synuclein protein (Lewy bodies) in dopaminergic neurons …
Multi-modal deep learning diagnosis of Parkinson's disease—a systematic review
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease
The brain is composed of disparate neural populations that communicate and interact with
one another. Although fiber bundles, similarities in molecular architecture, and synchronized …
one another. Although fiber bundles, similarities in molecular architecture, and synchronized …
Targeting Nrf2 signaling pathway and oxidative stress by resveratrol for Parkinson's disease: an overview and update on new developments
Parkinson's disease (PD) as a prevalent neurodegenerative condition impairs motor function
and is caused by the progressive deterioration of nigrostriatal dopaminergic (DAergic) …
and is caused by the progressive deterioration of nigrostriatal dopaminergic (DAergic) …
Resveratrol attenuates rotenone-induced inflammation and oxidative stress via STAT1 and Nrf2/Keap1/SLC7A11 pathway in a microglia cell line
W Sun, H Li, Y Shen, H **ao - Pathology-Research and Practice, 2021 - Elsevier
Scope Resveratrol is abundant in grapes. A protective role for resveratrol in anti-oxidation
and anti-inflammatory has been demonstrated. Rotenone is a pesticide, used to make …
and anti-inflammatory has been demonstrated. Rotenone is a pesticide, used to make …
Machine learning within the Parkinson's progression markers initiative: Review of the current state of affairs
The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …
Identification of Parkinson's disease subtypes from resting‐state electroencephalography
Background Parkinson's disease (PD) patients present with a heterogeneous clinical
phenotype, including motor, cognitive, sleep, and affective disruptions. However, this …
phenotype, including motor, cognitive, sleep, and affective disruptions. However, this …
Effect of probiotic supplementation on gastrointestinal motility, inflammation, motor, non-motor symptoms and mental health in Parkinson's disease: a meta-analysis of …
JM Park, SC Lee, C Ham, YW Kim - Gut Pathogens, 2023 - Springer
Background Parkinson's disease (PD) is the second most common neurodegenerative
disease worldwide. Gut dysbiosis is hypothesized to cause PD; therefore, whether probiotics …
disease worldwide. Gut dysbiosis is hypothesized to cause PD; therefore, whether probiotics …
[HTML][HTML] Genetic-based patient stratification in Alzheimer's disease
Alzheimer's disease (AD) shows a high pathological and symptomatological heterogeneity.
To study this heterogeneity, we have developed a patient stratification technique based on …
To study this heterogeneity, we have developed a patient stratification technique based on …
Combining neuroimaging and omics datasets for disease classification using graph neural networks
Both neuroimaging and genomics datasets are often gathered for the detection of
neurodegenerative diseases. Huge dimensionalities of neuroimaging data as well as omics …
neurodegenerative diseases. Huge dimensionalities of neuroimaging data as well as omics …