title: Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks.
abstract: Recently, a related morphometry-based connection concept has been introduced using local mean cortical thickness and volume to study the underlying complex architecture of the brain networks. In this article, the surface area is employed as a morphometric descriptor to study the concurrent changes between brain structures and to build binarized connectivity graphs. The statistical similarity in surface area between pair of regions was measured by computing the partial correlation coefficient across 186 normal subjects of the Cuban Human Brain Mapping Project. We demonstrated that connectivity matrices obtained follow a small-world behavior for two different parcellations of the brain gray matter. The properties of the connectivity matrices were compared to the matrices obtained using the mean cortical thickness for the same cortical parcellations. The topology of the cortical thickness and surface area networks were statistically different, demonstrating that both capture distinct properties of the interaction or different aspects of the same interaction (mechanical, anatomical, chemical, etc.) between brain structures. This finding could be explained by the fact that each descriptor is driven by distinct cellular mechanisms as result of a distinct genetic origin. To our knowledge, this is the first time that surface area is used to study the morphological connectivity of brain networks.
authors.affiliation: Clinical Neuroimaging Department, Cuban Neuroscience Center, Cuba.
authors.forename: Gretel
authors.initials: G
authors.lastname: Sanabria-Diaz
authors.forename: Lester
authors.initials: L
authors.lastname: Melie-García
authors.forename: Yasser
authors.initials: Y
authors.lastname: Iturria-Medina
authors.forename: Yasser
authors.initials: Y
authors.lastname: Alemán-Gómez
authors.forename: Gertrudis
authors.initials: G
authors.lastname: Hernández-González
authors.forename: Lourdes
authors.initials: L
authors.lastname: Valdés-Urrutia
authors.forename: Lídice
authors.initials: L
authors.lastname: Galán
authors.forename: Pedro
authors.initials: P
authors.lastname: Valdés-Sosa
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001921:Brain / Q000033:anatomy & histology*; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000033:anatomy & histology*; D016000:Cluster Analysis; D003337:Corpus Callosum / Q000033:anatomy & histology; D003462:Cuba; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D036421:Nerve Fibers, Unmyelinated; D009434:Neural Pathways / Q000033:anatomy & histology; D009929:Organ Size; D055815:Young Adult