Computational Modeling of Alpha-Synuclein Propagation in PD

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Computational Modeling of Alpha-Synuclein Propagation in PD

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experiment Created: 2026-04-02T10:01:41 By: crosslink-v2 Quality: 67% ✓ SciDEX ID: experiment-exp-wiki-experiments-alpha-sy

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SUMMARY

# Computational Modeling of Alpha-Synuclein Propagation in PD ## Background and Rationale The progressive spread of alpha-synuclein pathology throughout the nervous system represents one of the most compelling yet incompletely understood aspects of Parkinson's disease pathogenesis. Alpha-synuclein, encoded by the SNCA gene, is a 140-amino acid presynaptic protein that normally functions in synaptic vesicle trafficking and neurotransmitter release regulation. Under pathological conditions, this i

METHODOLOGY NOTES

**Phase 1: Data Collection and Preprocessing (Weeks 1-4)** • Acquire longitudinal neuroimaging datasets (DaTscan SPECT, structural MRI, DTI) from n=200 PD patients and n=100 controls across 3 timepoints (baseline, 12-month, 24-month follow-up) • Collect postmortem brain tissue data with confirmed α-syn pathology staging from n=50 cases across Braak stages 1-6 • Extract regional connectivity matrices from DTI data using deterministic tractography with FA threshold >0.2 and streamline density >10 per voxel • Quantify regional α-syn burden using standardized immunohistochemistry protocols with phospho-α-syn antibodies (pSer129) • Generate brain parcellation using Desikan-Killiany atlas (68 cortical + 14 subcortical regions) **Phase 2: Network-Based Propagation Model Development (Weeks 5-12)** • Implement graph-theoretic propagation model using weighted adjacency matrices from structural connectivity • Develop mathematical framework incorporating: (1) seeding probability per region, (2) t

▸Metadatasource: {'type': 'manual', 'source_name': 'wiki'

source	{'type': 'manual', 'source_name': 'wiki', 'extracted_by': 'backfill_v1', 'extraction_date': '2026-04-16T01:00:16.906514Z'}
summary	# Computational Modeling of Alpha-Synuclein Propagation in PD ## Background and Rationale The progressive spread of alpha-synuclein pathology throughout the nervous system represents one of the most c
entities	{'genes': ['CLDN1/DNMT1/DRD2'], 'diseases': ["Parkinson's Disease"]}
model_system	human
_schema_version	1
experiment_type	validation
primary_outcome	Validate Computational Modeling of Alpha-Synuclein Propagation in PD
methodology_notes	Phase 1: Data Collection and Preprocessing (Weeks 1-4) • Acquire longitudinal neuroimaging datasets (DaTscan SPECT, structural MRI, DTI) from n=200 PD patients and n=100 controls across 3 timepoin
replication_status	single_study
extraction_metadata	{'backfill_at': '2026-04-16T01:00:16.906519', 'needs_review': True, 'extraction_notes': 'Backfilled from wiki source (no PMID available)', 'extraction_confidence': 0.4}

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Computational Modeling of Alpha-Synuclein Propagation in PD

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