Results 21 to 30 of about 89,007 (293)

Characterizing the Structural Pattern of Heavy Smokers Using Multivoxel Pattern Analysis

Frontiers 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, Yufeng Ye, Jian Zhang, Bingsheng Huang, Bingsheng Huang, Bingsheng Huang, Xun Cai, Panying Wang, Panying Wang, Panying Wang, Ping Zeng, Ping Zeng, Songxiong Wu, Songxiong Wu, Jinting Ma, Han Huang, Heng Liu, Guo Dan, Guangyao Wu, Guangyao Wu, Guangyao Wu   +20 more
doaj   +1 more source

Developmental brain structural atypicalities in autism: a voxel-based morphometry analysis

Child and Adolescent Psychiatry and Mental Health, 2021
Background Structural magnetic resonance imaging (sMRI) studies have shown atypicalities in structural brain changes in individuals with autism spectrum disorder (ASD), while a noticeable discrepancy in their results indicates the necessity of conducting
Hui Wang, Zeng-Hui Ma, Lingzi Xu, Liu Yang, Zhaozheng Ji, Xinzhou Tang, Jing-Ran Liu, Xue Li, Q. Cao, Jing Liu   +9 more
semanticscholar   +1 more source

Voxel-based morphometry results. [PDF]

, 2023
Recurrent neuroinflammation in relapsing-remitting MS (RRMS) is thought to lead to neurodegeneration, resulting in progressive disability. Repeated magnetic resonance imaging (MRI) of the brain provides non-invasive measures of atrophy over time, a key ...
Michael J. Thrippleton (10193213), David P. J. Hunt (16705825), Nicole White (770357), Adam D. Waldman (10116784), Agniete Kampaite (11408699), Mathew A. Harris (3824581), N. J. J. MacDougall (16705822), Peter Connick (719507), Elizabeth N. York (11408696), Siddharthan Chandran (94755), Rozanna Meijboom (7041257), Maria del C. Valdés Hernández (7041263)   +11 more
core   +1 more source

Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson's disease

Comput. Methods Programs Biomed., 2020
BACKGROUND AND OBJECTIVES Qualitative and quantitative analyses of Magnetic Resonance Imaging (MRI) scans are carried out to study and understand Parkinson's Disease, the second most common neurodegenerative disorder in people at their 60's.
Gabriel Solana-Lavalle, R. Rosas-Romero
semanticscholar   +1 more source

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

Frontiers 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, Gregor Broessner, Isabel Ellerbrock, Mareike M. Menz, Florian Frank, Michael Verius, Christian Gaser, Arne May   +7 more
doaj   +1 more source

Distributional Assumptions in Voxel-Based Morphometry

NeuroImage, 2002
In this paper we address the assumptions about the distribution of errors made by voxel-based morphometry. Voxel-based morphometry (VBM) uses the general linear model to construct parametric statistical tests. In order for these statistics to be valid, a small number of assumptions must hold.
C. H. Salmond, John Ashburner, Faraneh Vargha-Khadem, Alan Connelly, David G. Gadian, Karl J. Friston   +5 more
openaire   +3 more sources

Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

Magnetic Resonance in Medical Sciences, 2022
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that ...
M. Goto, O. Abe, A. Hagiwara, S. Fujita, K. Kamagata, M. Hori, S. Aoki, Takahiro Osada, S. Konishi, Y. Masutani, H. Sakamoto, Y. Sakano, S. Kyogoku, H. Daida   +13 more
semanticscholar   +1 more source

Voxel-based morphometry of disgust sensitivity [PDF]

Social 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, Übel, Sonja, Schienle, Anne   +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

Brain 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, Daniel Schwarz, Vendula Churová, Tomáš Kašpárek   +3 more
doaj   +1 more source

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

NeuroImage: Clinical, 2015
Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and
Daniel Schmitter, Alexis Roche, Bénédicte Maréchal, Delphine Ribes, Ahmed Abdulkadir, Meritxell Bach-Cuadra, Alessandro Daducci, Cristina Granziera, Stefan Klöppel, Philippe Maeder, Reto Meuli, Gunnar Krueger   +11 more
doaj   +1 more source