Chaos models may help predict cardiac arrhythmias.

Although chaos marks the disorder of a dynamical system, locating the origin of chaos and watching it develop might allow researchers to predict, and maybe even counteract, certain outcomes. An important example may be the chaotic behavior of ventricular fibrillation, a severely abnormal heart rhythm that’s often life-threatening. One study discovered chaos in two and three sizes in the breakup of scroll and spiral waves, thought to be precursors of cardiac fibrillation. Another study discovered that one type of heartbeat irregularity, a sudden response of the heart to rapid beating called ‘spatially discordant alternans,’ potential clients to chaotic behavior and therefore is a feasible predictor of a fatal heart attack.‘Hopefully that new image evaluation technique will help for the reason that endeavor.’ Kewei Chen, Ph.D., the study's lead researcher, and his group analyzed baseline and 24-month follow-up florbetapir PET scans in 332 individuals of the Alzheimer's Disease Neuroimaging Initiative , a public-personal partnership attempting to advance Alzheimer's study. Of the 332 individuals, 31 had medical diagnoses of probable Alzheimer's dementia, 187 had diagnoses of mild cognitive impairment and 114 were cognitively regular older adults.