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Neurocompute

AI-driven Parkinson’s research intelligence platform exploring emerging signals, forgotten papers, and therapeutic patterns across the biomedical literature universe.

Indexed Papers
1,516
AI Scored
984
Ranked Papers
998
Coverage
1.3%
RESEARCH INTELLIGENCE BOARD

Ranked Parkinson’s Papers

1516 results
LAST INGEST 2026-05-29 06:45 PM
E
Exploring the interplay between olfaction and vision: neuroplasticity, rehabilitation, and the therapeutic potential of herbal ingredients.
PMID 41975387 Published: 2026-04-13 Ingested: 2026-04-28 08:58 PM BMC complementary medicine and therapies
AI 12.0
Base 10.6
Rank 12.0
AI Summary

Short commentary proposing that integrating olfactory training (including essential oils) with visual rehabilitation could exploit olfactory–visual neuroplasticity to improve sensory function after COVID-19 and in conditions mentioned such as Parkinson's.

Why It Matters

Low direct Parkinson's therapeutic discovery value because it lacks mechanistic, biomarker, or intervention detail, but it flags a non-pharmacological neurorehabilitation concept that could inform quality-of-life and symptomatic care studies.

E
Wearable-sensor based walking and non-walking measures as progression markers in early to mid-stage Parkinson's disease.
PMID 42000835 Published: 2026-04-18 Ingested: 2026-04-28 08:58 PM NPJ Parkinson's disease
AI 65.0
Base 12.2
Rank 11.9
AI Summary

Longitudinal wearable-sensor data identified multiple walking, non-walking, and composite digital measures that sensitively track progression in early- to mid-stage Parkinson's disease—some outperforming conventional clinical scales and detecting change within ~10 months.

Why It Matters

These objective, remote digital biomarkers could increase sensitivity and temporal resolution in PD trials and monitoring, enabling smaller/shorter studies and earlier detection of treatment effects to accelerate therapeutic development.

E
Frequency-based deep learning to identify subtle postural instability in early, untreated Parkinson's disease.
PMID 42045279 Published: 2026-04-27 Ingested: 2026-04-28 08:58 PM NPJ Parkinson's disease
AI 45.0
Base 12.2
Rank 11.9
AI Summary

Authors trained a convolutional neural network on frequency features from a single lumbar accelerometer during quiet standing and achieved ~98–99% accuracy distinguishing 40 early untreated PD patients from 79 controls.

Why It Matters

Provides a simple, noninvasive, high-accuracy candidate biomarker for detecting subtle early postural impairment that could aid earlier diagnosis, trial enrollment, and objective outcome measurement, though it does not advance mechanistic or therapeutic targets.

E
Partnering With Participant Advisors on the Parkinson's Progression Markers Initiative.
PMID 42012017 Published: 2026-04-21 Ingested: 2026-04-28 08:58 PM Annals of neurology
AI 35.0
Base 12.2
Rank 11.9
AI Summary

Describes PPMI's use of participant advisors, advisory boards, and communication channels to adapt platforms, return-of-results policies, lumbar puncture education, recruitment strategies, and travel procedures to make the study more accessible and participant-centered.

Why It Matters

Enhancing participant engagement and study procedures improves enrollment, diversity, and quality/quantity of biospecimens and clinical data, which indirectly accelerates biomarker discovery and translational Parkinson's therapeutic research despite lacking direct mechanistic or intervention…

E
Identification of peptides interfering with the PP2Ac And LRRK2 interaction.
PMID 41990985 Published: 2026-04-15 Ingested: 2026-04-28 08:58 PM Biochimica et biophysica acta. Proteins and proteomics
AI 35.0
Base 12.2
Rank 11.9
AI Summary

This study maps PP2Ac–LRRK2 interaction sites using PEP-scan and identifies two peptides (P3, M1) that compete with the PP2A/LRRK2 interaction in vitro.

Why It Matters

LRRK2 is a major Parkinson's disease-linked protein, so peptides that disrupt its interaction with PP2A are useful mechanistic tools with potential therapeutic relevance, but the work lacks cellular, functional, or in vivo validation needed for strong translational impact.

E
Classification of fallers in Parkinson's disease through machine learning based feature analysis.
PMID 41968129 Published: 2026-04-12 Ingested: 2026-04-28 08:58 PM NPJ Parkinson's disease
AI 35.0
Base 12.2
Rank 11.9
AI Summary

Externally validated machine-learning model using clinical and GAITRite gait data classifies PD fallers vs non-fallers with ~88–89% accuracy and highlights fear of falling, stride/velocity/rotation measures, and autonomic dysfunction as key features.

Why It Matters

Although it does not identify molecular therapeutic targets, the work provides a robust, multidomain biomarker for fall-risk stratification and patient selection/outcome measurement in trials aimed at reducing falls or treating balance and autonomic symptoms in PD.

E
Parkinson Disease Pathogenic Variants: Cross-Ancestry Analysis and Microarray Data Validation.
PMID 41988218 Published: 2026-06-01 Ingested: 2026-04-28 08:58 PM Neurology. Genetics
AI 30.0
Base 12.2
Rank 11.9
AI Summary

This cross-ancestry analysis validates the NeuroBooster array for genotyping known Parkinson's pathogenic variants, reports their frequencies across diverse ancestries, and assesses per-variant genotyping quality.

Why It Matters

Although not mechanistic or therapeutic itself, the study provides a validated, ancestrally diverse genetic resource that improves variant ascertainment for target validation, cohort selection, and equitable discovery efforts that can enable future therapy development.

E
Ultrasound studies of brainstem.
PMID 41896012 Published: 2026-01-01 Ingested: 2026-04-28 08:58 PM Handbook of clinical neurology
AI 30.0
Base 12.2
Rank 11.9
AI Summary

This chapter reviews transcranial B‑mode sonography (TCBS) methodology and the evidence supporting its use to image the brainstem and aid diagnosis of Parkinson disease and other parkinsonisms.

Why It Matters

As a low-cost, noninvasive imaging biomarker with reported high accuracy and interrater reliability, TCBS can support diagnosis, differential diagnosis, and patient stratification in clinical research and trials, though it provides little direct mechanistic or therapeutic insight.

E
Three donor-matched iPSC lines derived from human postmortem dura mater for modeling neurodegenerative diseases.
PMID 41955966 Published: 2026-04-02 Ingested: 2026-04-28 08:58 PM Stem cell research
AI 28.0
Base 12.2
Rank 11.9
AI Summary

This paper reports generation and characterization of three donor-matched iPSC lines derived from postmortem dura fibroblasts from individuals with neuropathologically confirmed AD, PD, and PART, retaining donor genomic identity for use in disease modeling.

Why It Matters

These well-characterized, autopsy-matched iPSC lines provide a valuable resource to create neural derivatives that can be directly compared to corresponding brain tissue, enabling more physiologically relevant PD modeling and downstream therapeutic or biomarker studies even though the paper does…

E
Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise.
PMID 41951129 Published: 2026-04-06 Ingested: 2026-04-28 08:58 PM Journal of neuroscience methods
AI 25.0
Base 12.2
Rank 11.9
AI Summary

Multiscale computational co-simulation of cortex–basal ganglia–thalamus networks assesses effects of deep brain stimulation and stochastic noise, showing thalamic spiking variability largely reflects noise-driven fluctuations rather than changes in overall activity.

Why It Matters

Offers a mechanistic, translatable framework that can inform DBS parameter optimization and generate hypotheses about network-level dysfunction in PD, but has limited direct applicability to molecular targets or conventional drug discovery.

E
Dementia Incidence in Individuals With Parkinson's Disease in the Framingham Heart Study.
PMID 41944089 Published: 2026-04-07 Ingested: 2026-04-28 08:58 PM Annals of clinical and translational neurology
AI 12.2
Base 12.2
Rank 11.9
AI Summary

In a community-based sample of 183 Framingham Heart Study participants with Parkinson's disease, annual dementia incidence was 5.0% and mortality 10.5%, with older age at PD diagnosis predicting higher risk while sex and education showed no association.

Why It Matters

Although not mechanistic or therapeutic, the study informs prognosis and patient stratification for clinical trials by identifying older age at PD onset as a key predictor of dementia risk in community settings.

E
Unveiling the Gut-Brain Axis: Fusobacteriaceae Promotes Parkinson's Disease Development via CA9 Suppression-Induced Ferroptosis.
PMID 42033567 Published: 2026-04-25 Ingested: 2026-04-28 08:58 PM Journal of molecular neuroscience : MN
AI 62.0
Base 10.4
Rank 11.8
AI Summary

The paper implicates Fusobacteriaceae in driving Parkinson's disease through suppression of CA9 that induces ferroptosis along the gut–brain axis.

Why It Matters

This identifies an actionable microbiome→CA9→ferroptosis pathway that could be targeted via microbiome modulation, CA9 modulation, or ferroptosis inhibitors and provides biomarker/repurposing opportunities, though the missing abstract reduces confidence in details.

E
AI 36.0
Base 10.4
Rank 11.8
AI Summary

Systematic review and meta-analysis assessing whether brain iron deposition correlates with emotional disorders (e.g., depression/anxiety) in Parkinson's disease patients.

Why It Matters

A demonstrated link would point to iron accumulation as a potential imaging biomarker and mechanistic target (e.g., chelation, antioxidant strategies) for non-motor psychiatric symptoms in PD, but the missing abstract and review-only format limit immediate therapeutic actionability.

E
AI 22.0
Base 10.4
Rank 11.8
AI Summary

This is a correction notice for a study reporting that chronic cerebral hypoperfusion worsens Parkinson's disease dementia-like symptoms and pathology in 6-OHDA-lesioned rats by disrupting sphingolipid metabolism.

Why It Matters

Highlights sphingolipid metabolism as a potential link between vascular insufficiency and PD-related cognitive decline—an actionable metabolic pathway—but the correction notice and missing abstract limit immediate translational or therapeutic insights.

E
Association Between Blood-Brain Barrier Disruption and Gut Microbiota Dysbiosis in Parkinson's Disease.
PMID 42047847 Published: 2026-04-28 Ingested: 2026-04-28 08:58 PM Cellular and molecular neurobiology
AI 60.0
Base 8.8
Rank 10.5
AI Summary

The paper links blood–brain barrier disruption with gut microbiota dysbiosis in Parkinson’s disease, proposing a gut–brain axis association between peripheral microbial changes and central barrier integrity.

Why It Matters

It points to potentially targetable mechanisms (microbiome modulation and BBB-protective strategies) and biomarker opportunities relevant to PD therapeutics, though lack of abstract/details limits immediate actionability.

E
AI 22.0
Base 8.8
Rank 10.5
AI Summary

Vignette-based EQ-5D-5L study quantifying the quality-of-life burden from sleep disturbance and early-morning OFF symptoms in people with advancing Parkinson's disease.

Why It Matters

Highlights clinically important, measurable symptomatic burdens that can guide outcome selection and symptomatic intervention priorities in trials, but offers little mechanistic or drug-discovery information.

E
Content quality and reliability of YouTube exercise videos for Parkinson's disease.
PMID 41931262 Published: 2026-04-03 Ingested: 2026-04-28 08:58 PM Acta neurologica Belgica
AI 12.0
Base 8.8
Rank 10.5
AI Summary

This paper assesses the quality and reliability of YouTube exercise videos targeting people with Parkinson's disease but does not present new mechanistic, biomarker, or therapeutic discovery data.

Why It Matters

It helps clinicians and patients identify trustworthy exercise resources for symptom management, but offers minimal direct value for Parkinson's drug discovery or translational research.

E
Situational triggers of urinary urgency episodes in Parkinson's disease.
PMID 42013781 Published: 2026-03-14 Ingested: 2026-04-28 08:58 PM Autonomic neuroscience : basic & clinical
AI 12.0
Base 9.2
Rank 9.3
AI Summary

Qualitative study showing 82% of Parkinson's patients with overactive bladder report situational triggers (mean 1.6), notably running water, that provoke urinary urgency.

Why It Matters

Limited direct value for molecular therapeutic discovery but informs development of tailored behavioral interventions and symptom-management strategies to improve quality of life in PD.

E
Manifest Preexcitation-Related Cardiac Dysfunction in the Absence of Tachyarrhythmia: A Systematic Review of Literature.
PMID 42037209 Published: 2026-04-27 Ingested: 2026-04-28 08:58 PM Journal of cardiovascular electrophysiology
AI 5.0
Base 8.7
Rank 8.9
AI Summary

Systematic review finds that manifest ventricular pre-excitation can cause left ventricular dysfunction via intra-LV dyssynchrony—especially with right-sided/septal accessory pathways—and that 2D strain imaging identifies dysfunction and catheter ablation largely restores function though…

Why It Matters

This paper has minimal direct relevance to Parkinson's therapeutic discovery because it addresses cardiac electrophysiology and structural cardiomyopathy rather than neurodegenerative mechanisms (e.g., alpha-synuclein, mitochondria, inflammation) or actionable PD targets.

E
Dissecting microglial contributions to neurodegenerative disease pathophysiology using human pluripotent stem cells.
PMID 41895273 Published: 2026-04-14 Ingested: 2026-04-28 08:58 PM Stem cell reports
AI 65.0
Base 8.5
Rank 8.7
AI Summary

This review summarizes developmental origins, differentiation protocols, and applications of human iPSC/ESC-derived microglia to model microglial biology and disease-relevant phenotypes in neurodegeneration.

Why It Matters

Offers a human-relevant platform to study microglia-driven inflammation and genetics relevant to Parkinson's disease and to prioritize targets and screens for therapeutic development, though as a review it provides synthesis rather than new actionable experimental findings.

AI Summary

An editorial comparing diagnostic performance of standard susceptibility map-weighted imaging versus susceptibility maps reconstructed from clinical SWI and neuromelanin MRI for early Parkinson’s disease.

Why It Matters

Better imaging biomarkers can improve early diagnosis and trial stratification—useful for translational studies—but as an editorial without new mechanistic or therapeutic data its direct value for drug discovery is limited.

E
AI-based mouse behavior analysis in pathology: A focus on movement disorders.
PMID 42031087 Published: 2026-04-22 Ingested: 2026-04-28 08:58 PM Neuroscience and biobehavioral reviews
AI 50.0
Base 6.8
Rank 7.3
AI Summary

A methods-focused review surveying AI-driven video and inertial-sensor approaches for high-resolution, multimodal rodent behavioral phenotyping with emphasis on Parkinsonian motor deficits and L-DOPA-induced dyskinesia.

Why It Matters

This paper outlines scalable, objective behavioral endpoints and multimodal strategies that can improve preclinical screening, biomarker development, and linkage of motor phenotypes to neural activity—accelerating therapeutic evaluation—though it does not provide direct mechanistic targets or…

E
A pilot study of assessing visual hallucinations using virtual reality in lewy body disorders.
PMID 41933015 Published: 2026-04-03 Ingested: 2026-04-28 08:58 PM Scientific reports
AI 30.0
Base 6.8
Rank 7.3
AI Summary

Pilot study using structured VR exposure in 11 people with Parkinson's disease or dementia with Lewy bodies to elicit and characterize abnormal visual perceptual events, finding more misperceptions and hallucination-like events in visually degraded VR conditions but no clear separation between…

Why It Matters

Demonstrates a feasible, tolerable, and potentially objective VR-based phenotyping approach that could be developed as a biomarker or outcome measure for trials targeting visual hallucinations, though the small sample size and technical limitations limit immediate therapeutic translation.

E
A Methodological Review of Voice Acoustic Parameters, with Emphasis on Vocal Tremor: Definitions, Computation, and Software Tools.
PMID 41951462 Published: 2026-04-07 Ingested: 2026-04-28 08:58 PM Journal of voice : official journal of the Voice Foundation
AI 25.0
Base 6.8
Rank 7.3
AI Summary

This paper is a structured methodological review of acoustic parameters for characterizing vocal tremor, comparing definitions, computations, and implementations across common voice-analysis software and advocating a multidimensional parameter framework.

Why It Matters

Standardizing and clarifying voice-acoustic features can improve development and reliability of speech-based biomarkers for Parkinson's disease diagnosis and monitoring, aiding patient stratification and outcome measurement in trials, though it offers little direct insight into therapeutic…

E
AI 10.0
Base 6.8
Rank 7.3
AI Summary

Two systematic reviews of private drinking water in Pennsylvania identify chemical and biological contamination, links to shale gas drilling, and a small number of studies reporting health effects including one reporting an association with Parkinson's disease, recommending increased testing and…

Why It Matters

This paper has low direct value for Parkinson's therapeutic discovery but is relevant epidemiologically by flagging environmental water contaminants as possible PD risk factors that could justify targeted exposure studies to inform prevention and mechanistic research.

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