Simple biomarkers to distinguish Parkinson’s disease from its mimics in clinical practice: a comprehensive review and future directions

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 19, 2024

In the last few years, a plethora of biomarkers have been proposed for differentiation Parkinson’s disease (PD) from its mimics. Most them consist complex measures, often based on expensive technology, not easily employed outside research centers. MRI measures widely used to differentiate between PD and other parkinsonism. However, these measurements were performed manually small brain areas in patient cohorts with intra- inter-rater variability. The aim current review is provide comprehensive updated overview literature commonly mimics (including parkinsonism tremor syndromes), focusing parameters derived by simple qualitative or quantitative that can be routine practice. Several electrophysiological, sonographic shown promising results, including blink-reflex recovery cycle, analysis, assessment substantia nigra, several signs linear directly MR images. most significant issue studies conducted single center, limited reproducibility findings. Future should carried out larger international patients ensure generalizability. Moreover, seek different diseases but similar clinical phenotypes, distinguish subtypes same disease, assess progression, correlate pathological data. An even more important goal would predict preclinical phase.

Language: Английский

---

SERS detection of dopamine in artificial cerebrospinal fluid and in Parkinson’s disease-induced mouse cortex using a hybrid ZnO@Ag nanostructured platform

Microchemical Journal, Journal Year: 2024, Volume and Issue: 206, P. 111589 - 111589

Published: Sept. 8, 2024

Language: Английский

---

Unraveling the Complexity of Parkinson's Disease: Insights into Pathogenesis and Precision Interventions

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Abstract Parkinson's disease (PD) is a neurodegenerative disorder characterized by dopaminergic neuron loss, leading to motor and non‐motor symptoms. Early detection before symptom onset crucial but challenging. This study presents framework integrating circuit modeling, non‐equilibrium dynamics, optimization understand PD pathogenesis enable precision interventions. Neuronal firing patterns, particularly oscillatory activity, play critical role in pathology. The basal ganglia network, specifically the subthalamic nucleus‐external globus pallidus (STN‐GPe) circuitry, exhibits abnormal activity associated with dysfunction. leverages landscape flux theory identify key connections generating pathological providing insights into progression potential intervention points. intricate STN‐GPe interplay highlighted, shedding light on compensatory mechanisms within this circuitry may initially counteract changes later contribute alterations as progresses. addresses need for comprehensive evaluation methods assess outcomes. Cross‐correlations between state variables provide superior early warning signals compared traditional indicators relying slowing down. By elucidating contributes improved management, detection, risk assessment, prevention/delay of development. pioneering research paves way medicine disorders.

Language: Английский

---

Language Modeling Screens Parkinson's Disease with Self-reported Questionnaires

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 24, 2024

Abstract Parkinson’s disease (PD) is a growing public health challenge associated with the aging population. Current diagnostic methods rely on motor symptoms and invasive procedures, making early detection difficult. This study established transferable artificial intelligence (AI) model, Quest2Dx, to analyze questionnaires enable low-cost non-invasive PD diagnosis. Quest2Dx tackles common challenges of missing responses required specific modeling for each questionnaire by developing novel language approach allow model transfer across different enhance interpretability. Evaluated PPMI Fox Insight datasets, achieved AUROCs 0.977 0.974, respectively, significantly outperforming existing methods. Additionally, cross-questionnaire validation 0.920 0.952, from vice versa. also identified key predictors list questions provide further insights. The validated technology elucidates promising path screening in primary-care settings.

Language: Английский

---

Diagnosis and biomarkers of Parkinson's disease and related movement disorders

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 39 - 63

Published: Nov. 29, 2024

Language: Английский

---