Fractal Structure and Entropy Production within the Central Nervous System
AbstractOur goal is to explore the relationship between two traditionally unrelated concepts, fractal structure and entropy production, evaluating both within the central nervous system (CNS). Fractals are temporal or spatial structures with self-similarity across scales of measurement; whereas entropy production represents the necessary exportation of entropy to our environment that comes with metabolism and life. Fractals may be measured by their fractal dimension; and human entropy production may be estimated by oxygen and glucose metabolism. In this paper, we observe fractal structures ubiquitously present in the CNS, and explore a hypothetical and unexplored link between fractal structure and entropy production, as measured by oxygen and glucose metabolism. Rapid increase in both fractal structures and metabolism occur with childhood and adolescent growth, followed by slow decrease during aging. Concomitant increases and decreases in fractal structure and metabolism occur with cancer vs. Alzheimer’s and multiple sclerosis, respectively. In addition to fractals being related to entropy production, we hypothesize that the emergence of fractal structures spontaneously occurs because a fractal is more efficient at dissipating energy gradients, thus maximizing entropy production. Experimental evaluation and further understanding of limitations and necessary conditions are indicated to address broad scientific and clinical implications of this work. View Full-Text
Share & Cite This Article
Seely, A.J.E.; Newman, K.D.; Herry, C.L. Fractal Structure and Entropy Production within the Central Nervous System. Entropy 2014, 16, 4497-4520.
Seely AJE, Newman KD, Herry CL. Fractal Structure and Entropy Production within the Central Nervous System. Entropy. 2014; 16(8):4497-4520.Chicago/Turabian Style
Seely, Andrew J.E.; Newman, Kimberley D.; Herry, Christophe L. 2014. "Fractal Structure and Entropy Production within the Central Nervous System." Entropy 16, no. 8: 4497-4520.