Neuroplex-C Project Neuroplex-C Project

A multi-institutional, multi-national collaboration
in Neuro-Cardiology

About   |   Team   |   Background   |   Progress   |   Downloads   |   Support   |   Contact   |   Home

There's a lot in some of the newer (Dec 2021, Jan 2022 +) documents:
see Progress and Downloads on the menu

This summary is an excerpt from one of the introductory documents. Kindly note that there has been significant progress and changes, as everything moves forward. This tells about how we started. Contact us to learn more!

There are consistent findings indicative of a strong causal relationship between stressor-induced dysfunctions within the autonomic nervous system and severe systemic disorders that include cardiac arrhythmia (specifically variations of tachycardia including SVT, AFIB and POTS), as well as gastrointestinal disorders such as IBS and POI. We consider a theoretical framework wherein chronic stressors of electrochemical nature affect both sympathetic and parasympathetic functions in a manner that originates and sustains degenerative noise effects within neuronal signaling pathways, thereby leading to a variety of dysautonomia conditions, including aforementioned cardiac disorders. One leading hypothesis is that measurable neuronal signals demonstrate distinctive patterns over time which can be prominent and decisive indicators of such degenerative actions, and that such identification can be made in advance of such degenerative conditions being noticeable in clinical examinations (e.g., EKG and echocardiography), or in typical clinical and personal observation of symptoms such as are typically the precursors to more formal diagnostics and treatments.

We focus upon applying a set of mathematical techniques for modeling neuronal signals as topological patterns of tangles and knots which can be simplified into a finite set of categories, certain of which will stand out as precursors to such pathologies as (diverse) tachycardia and also other cardiomyopathic conditions (including myocarditis and potentially precursor stages of myocardial infarction). We assert that the technology for obtaining the requisite signal data for this “topological-order” analysis is sufficient in current EKG that is in wide use clinically, including such compact, portable, personal-use instruments are are currently available commercially for at-home usage.

The analysis of these topological signal structures (dynamical patterns) can thereby enable rapid and population-wide early detection of conditions warranting further medical treatment of both prophylactic and therapeutic nature, thereby offering potential major advantages in healthcare. These advantages include reducing the probability for serious, critical and fatal consequences, minimizing hospitalization and surgical procedures, and overall aiding in the increasingly-present critical need for population health equity, particularly for segments of the general population that are less likely to receive early or in-time medical examination and treatment.

Copyright © 2021 TETRAD Institute of Complex System Dynamics, a not-for-profit research and education organization