Research

Our teams work on a few projects related to physics and mathematics applied to neuroscience:

• Cortical folding universal rule, its universality, and derived variables
• Mammals brain morphology
• Humans brain morphology
• Computational research on surface-based methods for quantifying morphological measurements.

Here you find all the most important publications, including our team contributions to relevant works. Please see the complete list of publications from Bruno Mota at his Lattes or Google Scholar.

2024

Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains

Heitor Mynssen, Kamilla Avelino-de-Souza, Khallil Chaim, Vanessa Lanes Ribeiro, Nina Patzke, Bruno Mota

Neuroinformatics  ·  10 Oct 2024

computational methodscompared neuroanatomybrain morphologycortical folding

JournalSource

Neuro-evolutionary evidence for a universal fractal primate brain shape

Yujiang Wang, Karoline Leiberg, Nathan Kindred, Christopher R Madan, Colline Poirier, Christopher I Petkov, Peter Neal Taylor, Bruno Mota

eLife  ·  30 Sep 2024

computational methodscompared neuroanatomybrain morphologycortical folding

JournalSourceSource

2022

Neuro-evolutionary evidence for a universal fractal primate brain shape

Yujiang Wang, Karoline Leiberg, Nathan Kindred, Christopher R. Madan, Colline Poirier, Christopher I. Petkov, Peter N. Taylor, Bruno C. C. Mota

arXiv  ·  16 Sep 2022

brain morphologycortical foldingcompared neuroanatomy

Preprint

Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study

Fernanda H. P. de Moraes, Victor B. B. Mello, Fernanda Tovar-Moll, Bruno Mota

Frontiers in Neuroscience  ·  18 Jul 2022

cortical foldingagingneurodegenerative diseasesharmonizationbaseline estimation

Journal

Predicting the principal components of cortical morphological variables

Victor B B Mello, Fernanda H de Moraes, Bruno Mota

bioRxiv  ·  07 Jul 2022

PCAcortical folding modelcortical folding universal rulecompared neuroanatomy

Preprint

Independent morphological variables correlate with Aging, Mild Cognitive Impairment, and Alzheimer’s Disease

Fernanda Hansen Pacheco de Moraes, Felipe Sudo, Marina Carneiro Monteiro, Bruno R. P. de Melo, Paulo Mattos, Bruno Mota, Fernanda Tovar-Moll

medRxiv  ·  11 Jan 2022

brain morphologycortical foldingneurodegenerative diseases

Preprint

2021

Independent components of human brain morphology

Yujiang Wang, Karoline Leiberg, Tobias Ludwig, Bethany Little, Joe H Necus, Gavin Winston, Sjoerd B Vos, Jane de Tisi, John S Duncan, Peter N Taylor, Bruno Mota

NeuroImage  ·  01 Feb 2021

brain morphologycortical folding

Journal

2019

White matter volume and white/gray matter ratio in mammalian species as a consequence of the universal scaling of cortical folding

Bruno Mota, Sandra E. Dos Santos, Lissa Ventura-Antunes, Débora Jardim-Messeder, Kleber Neves, Rodrigo S. Kazu, Stephen Noctor, Kelly Lambert, Mads F. Bertelsen, Paul R. Manger, Chet C. Sherwood, Jon H. Kaas, Suzana Herculano-Houzel

Proceedings of the National Academy of Sciences  ·  08 Jul 2019

compared neuroanatomybrain morphologycortical folding

Journal

Human cortical folding across regions within individual brains follows universal scaling law

Yujiang Wang, Joe Necus, Luis Peraza Rodriguez, Peter Neal Taylor, Bruno Mota

Communications Biology  ·  20 May 2019

brain morphologycortical folding

JournalSource

2016

Universality in human cortical folding in health and disease

Yujiang Wang, Joe Necus, Marcus Kaiser, Bruno Mota

Proceedings of the National Academy of Sciences  ·  08 Nov 2016

brain morphologycortical folding

Journal

2015

Cortical folding scales universally with surface area and thickness, not number of neurons

Bruno Mota, Suzana Herculano-Houzel

Science  ·  03 Jul 2015

compared neuroanatomybrain morphologycortical folding

Journal