At the end of 1989 I designed the experiment
ambitioned long before by Winfree to get spiral rotating
in thin "slices" of myocardial tissue. After trying up several different
arrangement to use
Paul Kent's (graduate student of Physiology at SUNY) optical mapping
setup (which was designed for salamander olfactory bulb stuff!)
I got, with Jorge Davidenko, the first successful (but still
very "handmade") visualization of a spiral
using voltage sensitive dyes (and DAM, to kill the muscle movements,
Davidenko's idea).
Nature (the journal) and Science rejected the manuscript, but
eventually appeared in PNAS (vol 87, pages 8785-8789)
in
november of 1990.
Already by the paper's debut I was very intrigued by the stability
of our spirals, my numerical simulations said otherwise: spirals
must break up if tissue were healthy, oxygenated and with all calcium
stuff untouched, or at least shall show bistability.
(e.g., for some initial conditions one should get spirals; under
other initial conditions break up and complex stuff).
By looking at the Action Potential Duration (APD)
restitution function (the function relating how long the excited states
last as a function of
how long the recent non-excited state was) I was convinced that
spirals were not supposed to last long in healthy
2d myocardial in vitro experiments. Still today (a decade latter) we
do not know if 2d slices( of "real" tissue, not models, of course)
can support
stable spirals AND complex patterns, as we discussed in a recent editorial
Below are the original 1989 simulations using a very simple model showing
periodic or complex
patterns at two region of parameter space (more details in the NIH
proposal I wrote in 1990, which
received a nice review , but I never got one cent out of it, but that
is another story...)
(II) Same initial condition as above in (I) but with parameters
corresponding to
APD restitution with slope > 1 at short re-excitation intervals. Note
the rupture of
the vortex core and the subsequent "centrifugal" growing disorder leading
to
the aperiodic spatiotemporal dynamics.