Cortical Structure Abnormalities in Patients With Noise‐Induced Hearing Loss: A Surface‐Based Morphometry Study
Sign Up to like & getrecommendations! Published in 2025 at "Brain and Behavior"
DOI: 10.1002/brb3.70813
Abstract: To investigate the characteristics of brain structures in patients with noise‐induced hearing loss (NIHL) using source‐based morphometry (SBM) and to evaluate the correlation between abnormal brain regions and clinical data. read more here.
Keywords: noise induced; based morphometry; hearing loss; patients noise ... See more keywords
Mode‐based morphometry: A multiscale approach to mapping human neuroanatomy
Sign Up to like & getrecommendations! Published in 2024 at "Human Brain Mapping"
DOI: 10.1002/hbm.26640
Abstract: Voxel‐based morphometry (VBM) and surface‐based morphometry (SBM) are two widely used neuroimaging techniques for investigating brain anatomy. These techniques rely on statistical inferences at individual points (voxels or vertices), clusters of points, or a priori… read more here.
Keywords: mode based; brain; based morphometry; anatomy ... See more keywords
Grey matter alterations in generalized anxiety disorder: A voxel‐wise meta‐analysis of voxel‐based morphometry studies
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Developmental Neuroscience"
DOI: 10.1002/jdn.10330
Abstract: Grey matter, a crucial component of the brain, has been found altered in generalized anxiety disorder (GAD) of several voxel‐based morphometry studies. The conclusive and consistent grey matter alterations in GAD have not been confirmed. read more here.
Keywords: anxiety disorder; voxel; voxel based; based morphometry ... See more keywords
Mis-segmentation in voxel-based morphometry due to a signal intensity change in the putamen
Sign Up to like & getrecommendations! Published in 2017 at "Radiological Physics and Technology"
DOI: 10.1007/s12194-017-0424-3
Abstract: The aims of this study were to demonstrate an association between changes in the signal intensity of the putamen on three-dimensional T1-weighted magnetic resonance images (3D-T1WI) and mis-segmentation, using the voxel-based morphometry (VBM) 8 toolbox.… read more here.
Keywords: change; mis segmentation; intensity; based morphometry ... See more keywords
Grey matter reduction in the occipitotemporal cortex in Spanish children with dyslexia: A voxel-based morphometry study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neurolinguistics"
DOI: 10.1016/j.jneuroling.2019.100873
Abstract: Abstract Structural and functional neuroimaging studies have reported brain alterations in occipitotemporal, temporoparietal, and left frontal areas in dyslexic patients. These areas have been linked to reading skill impairments, due to their involvement in word… read more here.
Keywords: orthography; reduction; occipitotemporal cortex; grey matter ... See more keywords
Two subtypes of pathological skin-picking: Evidence from a voxel-based morphometry study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Obsessive-Compulsive and Related Disorders"
DOI: 10.1016/j.jocrd.2020.100534
Abstract: Abstract Research on the neurobiological correlates of skin-picking disorder (SPD) has yielded inconsistent findings. The present voxel-based morphometry (VBM) study investigated whether there are two distinct subtypes of SPD based on the heterogeneity in symptom… read more here.
Keywords: skin picking; group; study; spd ... See more keywords
Structural graph‐based morphometry: A multiscale searchlight framework based on sulcal pits
Sign Up to like & getrecommendations! Published in 2017 at "Medical Image Analysis"
DOI: 10.1016/j.media.2016.04.011
Abstract: &NA; Studying the topography of the cortex has proved valuable in order to characterize populations of subjects. In particular, the recent interest towards the deepest parts of the cortical sulci – the so‐called sulcal pits… read more here.
Keywords: structural graph; graph based; framework; based morphometry ... See more keywords
Brain structural abnormalities in adult major depressive disorder revealed by voxel- and source-based morphometry: evidence from the REST-meta-MDD Consortium.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological medicine"
DOI: 10.1017/s0033291722000320
Abstract: BACKGROUND Neuroimaging studies on major depressive disorder (MDD) have identified an extensive range of brain structural abnormalities, but the exact neural mechanisms associated with MDD remain elusive. Most previous studies were performed with voxel- or… read more here.
Keywords: based morphometry; brain structural; brain; depressive disorder ... See more keywords
Brain Structural Bases of Tendency to Forgive: evidence from a young adults sample using voxel-based morphometry
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-16868-3
Abstract: Tendency to forgive refers to one’s global dispositional level of forgiveness across situations and relationships. Brain imaging studies examined activation patterns underlying forgiving response, yet focal differences in brain structures related to tendency to forgive… read more here.
Keywords: based morphometry; tendency forgive; brain; voxel based ... See more keywords
Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-61799-1
Abstract: Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor… read more here.
Keywords: based morphometry; dti driven; hypoplasia; driven tensor ... See more keywords
Genetic Contributions to Multivariate Data-Driven Brain Networks Constructed via Source-Based Morphometry.
Sign Up to like & getrecommendations! Published in 2020 at "Cerebral cortex"
DOI: 10.1093/cercor/bhaa082
Abstract: Identifying genetic factors underlying neuroanatomical variation has been difficult. Traditional methods have used brain regions from predetermined parcellation schemes as phenotypes for genetic analyses, although these parcellations often do not reflect brain function and/or do… read more here.
Keywords: via source; data driven; source based; networks constructed ... See more keywords