Literature DB >> 1811015

The fractal geometry of convoluted brains.

M A Hofman1.   

Abstract

The evolution of the brain in mammals is characterized by an overall size increase and structural reorganization. Consequently, the brain's geometry has changed notably since the late Cretaceous. Here I show that the mammalian brain is a fractal structure, the dimensions of which can be described in mathematical terms. Application of the scaling principle to convoluted brains shows that the cortical surface area, with its fractal dimension of D = 2.70 +/- 0.07, is geometrically similar with the amount of white matter, i.e., with the number and length of the interconnective nerve fibers. The hypothesis is put forward that the potential for brain evolution results from a combination of fractal folding and compartmentalization of neurons into modular circuits. The close correspondence between the form and fractal dimensions of the brain and a geometric model provides further evidence that the macroscopic organization of the brain in mammals is governed by a few simple generative rules and that these internal factors of brain design, bearing no relation to the selective reasons of initial enlargement, may be the primary determinants directing the evolution of the brain.

Entities:  

Mesh:

Year:  1991        PMID: 1811015

Source DB:  PubMed          Journal:  J Hirnforsch        ISSN: 0021-8359


  12 in total

1.  Predicting age from cortical structure across the lifespan.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Eur J Neurosci       Date:  2018-02-12       Impact factor: 3.386

2.  Age-related differences in the structural complexity of subcortical and ventricular structures.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neurobiol Aging       Date:  2016-10-27       Impact factor: 4.673

3.  Fractal dimension analysis of the cortical ribbon in mild Alzheimer's disease.

Authors:  Richard D King; Brandon Brown; Michael Hwang; Tina Jeon; Anuh T George
Journal:  Neuroimage       Date:  2010-06-25       Impact factor: 6.556

4.  Brain size and cognitive ability: Correlations with age, sex, social class, and race.

Authors:  J P Rushton; C D Ankney
Journal:  Psychon Bull Rev       Date:  1996-03

5.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

6.  Characterization of Atrophic Changes in the Cerebral Cortex Using Fractal Dimensional Analysis.

Authors:  Richard D King; Anuh T George; Tina Jeon; Linda S Hynan; Teddy S Youn; David N Kennedy; Bradford Dickerson
Journal:  Brain Imaging Behav       Date:  2009-06       Impact factor: 3.978

7.  Toward a more reliable characterization of fractal properties of the cerebral cortex of healthy subjects during the lifespan.

Authors:  Chiara Marzi; Marco Giannelli; Carlo Tessa; Mario Mascalchi; Stefano Diciotti
Journal:  Sci Rep       Date:  2020-10-12       Impact factor: 4.379

Review 8.  Whole brain size and general mental ability: a review.

Authors:  J Philippe Rushton; C Davison Ankney
Journal:  Int J Neurosci       Date:  2009       Impact factor: 2.292

Review 9.  Evolution of the human brain: when bigger is better.

Authors:  Michel A Hofman
Journal:  Front Neuroanat       Date:  2014-03-27       Impact factor: 3.856

10.  Cortical Complexity in Anorexia Nervosa: A Fractal Dimension Analysis.

Authors:  Enrico Collantoni; Christopher R Madan; Paolo Meneguzzo; Iolanna Chiappini; Elena Tenconi; Renzo Manara; Angela Favaro
Journal:  J Clin Med       Date:  2020-03-19       Impact factor: 4.241

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