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Auditable Cognitive Infrastructure • Tridimensional Framework

Auditable Cognitive Infrastructure for Neurodegenerative Disease Research

Auditable cognitive infrastructure for neurodegenerative disorders integrating genetics, proteomics, and neuroimaging within the tridimensional framework described in a peer-reviewed publication. Supports comprehensive evidence structuring across 22 neurodegenerative diseases.

Empirical Benchmark: Causal validation demonstrated across 5 of 8 biomarkers in a reference cohort study.
Read the preprint (not peer-reviewed)
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Tridimensional framework diagram
Figure 1. Tridimensional convergence model: Axis 1 (Etiology/Genetics), Axis 2 (Pathophysiology/Fluid Markers), and Axis 3 (Topography/Neuroimaging).

Tridimensional Analysis Framework

The tridimensional framework, described in a peer-reviewed publication, analyzes neurodegenerative diseases across three fundamental biological axes. Each axis represents a distinct level of pathophysiological organization.

Dimension 01

Axis 1: Etiological Factors

Comprehensive genetic risk assessment including pathogenic variants, polygenic risk scores, and environmental modifiers.

PRS Models: 22 diseases
Penetrance Data: Age-adjusted

Examples: APOE ε4 dosage, LRRK2 G2019S, C9orf72 expansions, MAPT mutations, HTT CAG repeats

Dimension 02

Axis 2: Molecular Biomarkers

Multi-omics integration of CSF, plasma, and tissue biomarkers across pathogenic cascades.

CSF Biomarkers: AT(N) framework
Plasma Markers: p-tau217, NfL

Examples: Aβ42/40 ratio, p-tau181/217, α-synuclein RT-QuIC, TDP-43, neurofilament light

Dimension 03

Axis 3: Topographical Phenotype

Quantitative neuroimaging analysis and standardized anatomical atrophy mapping.

PET Tracers: Aβ, tau, FDG
Clinical Scales: CDR, MMSE, MoCA

Examples: Hippocampal volumetry, cortical thickness, white matter integrity, amyloid PET SUVR

Clinical Research Applications

Designed for clinical research environments and pharmaceutical discovery. Supports biomarker validation, drug target verification, and clinical trial stratification.

Biomarker Discovery

  • • Multi-omics pathway analysis
  • • Cross-disease biomarker validation
  • • Longitudinal progression markers
  • • Treatment response indicators

Clinical Trial Support

  • • Patient stratification algorithms
  • • Endpoint sensitivity optimization
  • • Statistical power estimation

Drug Development

  • • Target engagement verification
  • • Disease-modifying therapy tracking
  • • Companion biomarker protocols

Structured Analysis Pipeline

Step 01
Ingestion

Multi-modal data formatting

Step 02
Analysis

Significance and FDR correction

Step 03
Validation

Cross-validation and bootstrap

Step 04
Reporting

Audit-ready documentation

Advance Neurodegenerative Disease Research with Structured Methods

Built for research institutions and clinical investigators conducting biomarker discovery and clinical trial design.

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