Bruno Mota

Affiliations: 
Institute of Physics Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil 
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"Bruno Mota"
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Wang Y, Leiberg K, Ludwig T, et al. (2020) Independent components of human brain morphology. Neuroimage. 117546
Neves K, Menezes Guimarães D, Rayêe D, et al. (2019) The reliability of the isotropic fractionator method for counting total cells and neurons. Journal of Neuroscience Methods. 108392
Mota B, Dos Santos SE, Ventura-Antunes L, et al. (2019) White matter volume and white/gray matter ratio in mammalian species as a consequence of the universal scaling of cortical folding. Proceedings of the National Academy of Sciences of the United States of America
Wang Y, Necus J, Rodriguez LP, et al. (2019) Human cortical folding across regions within individual brains follows universal scaling law. Communications Biology. 2: 191
Wang Y, Necus J, Kaiser M, et al. (2016) Universality in human cortical folding in health and disease. Proceedings of the National Academy of Sciences of the United States of America
Gabi M, Neves K, Masseron C, et al. (2016) No relative expansion of the number of prefrontal neurons in primate and human evolution. Proceedings of the National Academy of Sciences of the United States of America
Mota B, Herculano-Houzel S. (2016) Response to Comments on "Cortical folding scales universally with surface area and thickness, not number of neurons". Science (New York, N.Y.). 351: 826
Gomero GI, Mota B, Reboucas MJ. (2016) Limits of the circles-in-the-sky searches in the determination of cosmic topology of nearly flat universes Physical Review D. 94: 43501
Mota B, Herculano-Houzel S. (2015) BRAIN STRUCTURE. Cortical folding scales universally with surface area and thickness, not number of neurons. Science (New York, N.Y.). 349: 74-7
Kazu RS, Maldonado J, Mota B, et al. (2015) Corrigendum: Cellular scaling rules for the brain of Artiodactyla include a highly folded cortex with few neurons. Frontiers in Neuroanatomy. 9: 39
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