title: Comment on "Cortical folding scales universally with surface area and thickness, not number of neurons".
abstract: Mota and Herculano-Houzel (Reports, 3 July 2015, p. 74) assign power functions to neuroanatomical data and present a model to account for evolutionary patterns of cortical folding in the mammalian brain. We detail how the model assumptions are in conflict with experimental and observational work and show that the model itself does not accurately fit the data.
authors.affiliation: Institut de Biologie, École Normale Supérieure, Paris, France. lewitus@biologie.ens.fr huttner@mpi-cbg.de.
authors.forename: Eric
authors.initials: E
authors.lastname: Lewitus
authors.affiliation: MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK.
authors.forename: Iva
authors.initials: I
authors.lastname: Kelava
authors.affiliation: Institute of Population Genetics, Vetmeduni, Vienna, Austria.
authors.forename: Alex T
authors.initials: AT
authors.lastname: Kalinka
authors.affiliation: Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
authors.forename: Pavel
authors.initials: P
authors.lastname: Tomancak
authors.affiliation: Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany. lewitus@biologie.ens.fr huttner@mpi-cbg.de.
authors.forename: Wieland B
authors.initials: WB
authors.lastname: Huttner
mesh_terms: D000818:Animals; D002540:Cerebral Cortex; D006801:Humans; D054082:Lissencephaly / Q000473:pathology*; D009474:Neurons / Q000166:cytology*