title: Determination of fractal dimension of physiologically characterized neurons in two and three dimensions.
abstract: Although there is a growing interest in the application of fractal analysis in neurobiology, questions about the methodology have restricted its wider application. In this report we discuss some of the underlying principles for fractal analysis, we propose the cumulative-mass method as a standard method and we extend the applicability of fractal analysis to both 2 and 3 dimensions. We have examined the relationship between the method of log-log Sholl analysis and fractal analysis and have found that they correlate well. Measurements of physiologically characterized retinal ganglion cells indicate that different cell types can have significantly different fractal dimensions. Such differences may allow the correlation of the physiological type of a neuron with its morphological fractal dimension.
authors.affiliation: Center for Polymer Studies, Boston University, MA 02215, USA.
authors.forename: F
authors.initials: F
authors.lastname: Caserta
authors.forename: W D
authors.initials: WD
authors.lastname: Eldred
authors.forename: E
authors.initials: E
authors.lastname: Fernandez
authors.forename: R E
authors.initials: RE
authors.lastname: Hausman
authors.forename: L R
authors.initials: LR
authors.lastname: Stanford
authors.forename: S V
authors.initials: SV
authors.lastname: Bulderev
authors.forename: S
authors.initials: S
authors.lastname: Schwarzer
authors.forename: H E
authors.initials: HE
authors.lastname: Stanley
mesh_terms: D000818:Animals; D002415:Cats; D002477:Cells / Q000145:classification; D017709:Fractals; D005724:Ganglia / Q000502:physiology*; D007091:Image Processing, Computer-Assisted; D009474:Neurons / Q000502:physiology; D012160:Retina / Q000502:physiology*