Computational models of cortical folding: a review of common approaches

M Darayi, ME Hoffman, J Sayut, S Wang… - Journal of …, 2022 - Elsevier
The process of gyrification, by which the brain develops the intricate pattern of gyral hills and
sulcal valleys, is the result of interactions between biological and mechanical processes …

[HTML][HTML] Surface-based single-subject morphological brain networks: effects of morphological index, brain parcellation and similarity measure, sample size-varying …

Y Li, N Wang, H Wang, Y Lv, Q Zou, J Wang - NeuroImage, 2021 - Elsevier
Morphological brain networks, in particular those at the individual level, have become an
important approach for studying the human brain connectome; however, relevant …

Mechanical hierarchy in the formation and modulation of cortical folding patterns

P Chavoshnejad, L Vallejo, S Zhang, Y Guo, W Dai… - Scientific Reports, 2023 - nature.com
The important mechanical parameters and their hierarchy in the growth and folding of the
human brain have not been thoroughly understood. In this study, we developed a multiscale …

Cortical thickness systematically varies with curvature and depth in healthy human brains

N Demirci, MA Holland - Human Brain Map**, 2022 - Wiley Online Library
Cortical thickness varies throughout the cortex in a systematic way. However, it is
challenging to investigate the patterns of cortical thickness due to the intricate geometry of …

[HTML][HTML] Role of axonal fibers in the cortical folding patterns: A tale of variability and regularity

P Chavoshnejad, X Li, S Zhang, W Dai, L Vasung… - Brain Multiphysics, 2021 - Elsevier
Cortical folding is one of the most complex processes that occur during the normal
development of the human brain. Despite variability in folding patterns of different …

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns

S Liu, F Ge, L Zhao, T Wang, D Ni, T Liu - Medical image analysis, 2022 - Elsevier
Increasing evidence suggests that cortical folding patterns of human cerebral cortex
manifest overt structural and functional differences. However, for interpretability, few studies …

An integrated finite element method and machine learning algorithm for brain morphology prediction

P Chavoshnejad, L Chen, X Yu, J Hou, N Filla… - Cerebral …, 2023 - academic.oup.com
The human brain development experiences a complex evolving cortical folding from a
smooth surface to a convoluted ensemble of folds. Computational modeling of brain …

Physical aspects of cortical folding

A Greiner, S Kaessmair, S Budday - Soft Matter, 2021 - pubs.rsc.org
The characteristically folded surface of the human brain is critical for brain function and
allows for higher cognitive abilities. Recent mostly computational research advances have …

Cortical 3-hinges could serve as hubs in cortico-cortical connective network

T Zhang, X Li, X Jiang, F Ge, S Zhang, L Zhao… - Brain imaging and …, 2020 - Springer
Map** the relation between cortical convolution and structural/functional brain
architectures could provide deep insights into the mechanisms of brain development …

Gyral and sulcal connectivity in the human cerebral cortex

F Kruggel, A Solodkin - Cerebral Cortex, 2023 - academic.oup.com
The rapid evolution of image acquisition and data analytic methods has established in vivo
whole-brain tractography as a routine technology over the last 20 years. Imaging-based …