Results 11 to 20 of about 22,955 (198)

Voxel-Based Morphometry of Cerebellar Lobules in Essential Tremor [PDF]

open access: yesFrontiers in Aging Neuroscience, 2021
BackgroundThe extent of neurodegeneration underlying essential tremor (ET) remains a matter of debate. Despite various extents of cerebellar atrophy on structural magnetic resonance imaging (MRI), previous studies have shown substantial heterogeneity and
Richard Ågren   +5 more
doaj   +4 more sources

Belief in the miracles of Lourdes: A voxel‐based morphometry study [PDF]

open access: yesBrain and Behavior, 2020
Background It has been shown that particular religious beliefs and practices are associated with brain function and structure. The present voxel‐based morphometry study investigated the correlation between the belief in the miracles of Lourdes (a major ...
Anne Schienle   +2 more
doaj   +3 more sources

No evidence for an association of voxel-based morphometry with short-term non-motor outcomes in deep brain stimulation for Parkinson’s disease [PDF]

open access: yesnpj Parkinson's Disease
Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established therapy in advanced Parkinson’s disease (PD). Motor and non-motor outcomes, however, show considerable inter-individual variability. Preoperative morphometry-based metrics have
Philipp Alexander Loehrer   +20 more
doaj   +2 more sources

Brain structural changes in girls with idiopathic central precocious puberty: a voxel-based morphometry and surface-based morphometry analysis [PDF]

open access: yesFrontiers in Endocrinology
ObjectivesThis study aimed to investigate brain structural alterations in girls with idiopathic central precocious puberty (ICPP) using voxel-based morphometry (VBM) and surface-based morphometry (SBM), and to explore associations between these changes ...
Yun Zhang, Lu Tian, Xiaojian Wang
doaj   +2 more sources

Characterizing the Structural Pattern of Heavy Smokers Using Multivoxel Pattern Analysis

open access: yesFrontiers in Psychiatry, 2021
Background: Smoking addiction is a major public health issue which causes a series of chronic diseases and mortalities worldwide. We aimed to explore the most discriminative gray matter regions between heavy smokers and healthy controls with a data ...
Yufeng Ye   +20 more
doaj   +1 more source

Voxel-Based Morphometry—The Methods [PDF]

open access: yesNeuroImage, 2000
At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the same stereotactic space.
J, Ashburner, K J, Friston
openaire   +2 more sources

Choice of Voxel-based Morphometry processing pipeline drives variability in the location of neuroanatomical brain markers

open access: yesCommunications Biology, 2022
Four common processing pipelines tested on two Voxel-based Morphometry (VBM) datasets yield considerable variations in results, raising issues on the interpretability and robustness of VBM results.
Xinqi Zhou   +11 more
doaj   +1 more source

Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging

open access: yesFrontiers in Neurology, 2021
Voxel-based morphometry (VBM) is a widely used tool for studying structural patterns of brain plasticity, brain development and disease. The source of the T1-signal changes is not understood.
Gregor Broessner   +7 more
doaj   +1 more source

Voxel-based morphometry of disgust sensitivity [PDF]

open access: yesSocial Neuroscience, 2017
Difficulties with the regulation of negative affect have been extensively studied in neuroimaging research. However, dysregulation of a specific emotion, disgust, has hardly been investigated. In the present study, we used voxel-based morphometry to identify whether gray matter volume (GMV) of frontal regions is correlated with personality traits ...
Wabnegger, Albert   +2 more
openaire   +2 more sources

Structural MRI-Based Schizophrenia Classification Using Autoencoders and 3D Convolutional Neural Networks in Combination with Various Pre-Processing Techniques

open access: yesBrain Sciences, 2022
Schizophrenia is a severe neuropsychiatric disease whose diagnosis, unfortunately, lacks an objective diagnostic tool supporting a thorough psychiatric examination of the patient.
Roman Vyškovský   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy