Cortical surface variation in individuals with excessive smartphone use
Sign Up to like & getrecommendations! Published in 2022 at "Developmental Neurobiology"
DOI: 10.1002/dneu.22872
Abstract: Excessive smartphone use has been repeatedly related to adverse effects on mental health and psychological well‐being in young adults. The continued investigation of the neurobiological mechanism underlying excessive smartphone use—sometimes also referred to as “smartphone… read more here.
Keywords: excessive smartphone; cortical surface; spa; smartphone ... See more keywords
Complexity analysis of cortical surface detects changes in future Alzheimer's disease converters
Sign Up to like & getrecommendations! Published in 2017 at "Human Brain Mapping"
DOI: 10.1002/hbm.23773
Abstract: Alzheimer's disease (AD) is a neurological disorder that creates neurodegenerative changes at several structural and functional levels in human brain tissue. The fractal dimension (FD) is a quantitative parameter that characterizes the morphometric variability of… read more here.
Keywords: mci converters; alzheimer disease; surface; shfd ... See more keywords
Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch‐based group‐wise sparse representation
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24636
Abstract: 4D (spatial + temporal) infant cortical surface atlases covering dense time points are highly needed for understanding dynamic early brain development. In this article, we construct a set of 4D infant cortical surface atlases with longitudinally consistent… read more here.
Keywords: group wise; surface atlases; surface; infant cortical ... See more keywords
Cortical surface morphology in long-term cannabis users: A multi-site MRI study
Sign Up to like & getrecommendations! Published in 2019 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2018.11.1110
Abstract: Cannabis exerts its psychoactive effect through cannabinoid receptors that are widely distributed across the cortical surface of the human brain. It is suggested that cannabis use may contribute to structural alterations across the cortical surface.… read more here.
Keywords: cannabis; cannabis use; use; cannabis users ... See more keywords
Subcortical volume and cortical surface architecture in women with acute and remitted anorexia nervosa: An exploratory neuroimaging study.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of psychiatric research"
DOI: 10.1016/j.jpsychires.2018.04.010
Abstract: BACKGROUND Anorexia nervosa (AN) is a highly heritable psychiatric disorder characterized by starvation and emaciation and associated with changes in brain structure. The precise nature of these changes remains unclear, as does their developmental time… read more here.
Keywords: surface; volume cortical; women acute; subcortical volume ... See more keywords
A computational method for longitudinal mapping of orientation‐specific expansion of cortical surface in infants
Sign Up to like & getrecommendations! Published in 2018 at "Medical Image Analysis"
DOI: 10.1016/j.media.2018.07.006
Abstract: HighlightsWe propose a novel method for mapping orientation‐specific cortical expansion.We derive folding orientation fields by fusing sulcal depth and curvature information.We chart the first longitudinal map of orientation‐specific infant cortical expansion. ABSTRACT The cortical surface… read more here.
Keywords: expansion; orientation; mapping orientation; orientation specific ... See more keywords
Hierarchical spherical deformation for cortical surface registration
Sign Up to like & getrecommendations! Published in 2019 at "Medical image analysis"
DOI: 10.1016/j.media.2019.06.013
Abstract: We present hierarchical spherical deformation for a group-wise shape correspondence to address template selection bias and to minimize registration distortion. In this work, we aim at a continuous and smooth deformation field to guide accurate… read more here.
Keywords: surface registration; deformation; cortical surface; registration ... See more keywords
Cortical surface thickness, subcortical volumes and disability between races in relapsing-remitting multiple sclerosis.
Sign Up to like & getrecommendations! Published in 2021 at "Multiple sclerosis and related disorders"
DOI: 10.1016/j.msard.2021.103025
Abstract: BACKGROUND The interplay between cortical surface thickness (CTh), subcortical volumes (SCV) and disability in patients with relapsing remitting multiple sclerosis (RRMS) is still not clear. OBJECTIVE To examine the relationship between CTh, SCV, and disability… read more here.
Keywords: disability; multiple sclerosis; cth; cortical surface ... See more keywords
Early cortical surface plasticity relates to basic mathematical learning
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2019.116235
Abstract: Children lay the foundation for later academic achievement by acquiring core mathematical abilities in the first school years. Neural reorganization processes associated with individual differences in early mathematical learning, however, are still poorly understood. To… read more here.
Keywords: early cortical; mathematical learning; change cortical; plasticity ... See more keywords
Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.117756
Abstract: Head motion during MRI acquisition presents significant challenges for neuroimaging analyses. In this work, we present a retrospective motion correction framework built on a Fourier domain motion simulation model combined with established 3D convolutional neural… read more here.
Keywords: motion; image; correction; retrospective motion ... See more keywords
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3206221
Abstract: We present CortexODE, a deep learning framework for cortical surface reconstruction. CortexODE leverages neural ordinary differential equations (ODEs) to deform an input surface into a target shape by learning a diffeomorphic flow. The trajectories of… read more here.
Keywords: surface reconstruction; cortical surface; surface; cortexode ... See more keywords