Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer’s Disease

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Variable</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><i>A</i><sub><i>β</i></sub></td><td class="align_center">Amyloid beta pathology</td></tr><tr><td class="align_left"><i>τ</i><sub><i>ρ</i></sub></td><td class="align_center">Amyloid-related phospho-tau pathology</td></tr><tr><td class="align_left"><i>τ</i><sub><i>o</i></sub></td><td class="align_center">SNAP-related tau pathology</td></tr><tr><td class="align_left"><i>N</i></td><td class="align_center">Neuronal degeneration</td></tr><tr><td class="align_left"><i>C</i></td><td class="align_center">Cognitive impairment</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div>SNAP = suspected non-Alzheimer’s pathology.<br/></div></td></tr></table>

Computational and Mathematical Methods in Medicine

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Table 1

Table 1: Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer’s Disease 