Results 1 to 10 of about 22,331 (150)

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

npj 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, Wibke Schumacher, Stefanie T. Jost, Monty Silverdale, Jan Niklas Petry-Schmelzer, Anna Sauerbier, Alexandra Gronostay, Veerle Visser-Vandewalle, Gereon R. Fink, Julian Evans, Max Krause, Alexandra Rizos, Angelo Antonini, Keyoumars Ashkan, Pablo Martinez-Martin, Christian Gaser, K. Ray Chaudhuri, Lars Timmermann, Juan Carlos Baldermann, Haidar S. Dafsari, On behalf of EUROPAR and the International Parkinson and Movement Disorders Society Non-Motor Parkinson’s Disease Study Group   +20 more
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Brain structural changes in girls with idiopathic central precocious puberty: a voxel-based morphometry and surface-based morphometry analysis [PDF]

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

Communications 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, Renjing Wu, Yixu Zeng, Ziyu Qi, Stefania Ferraro, Lei Xu, Xiaoxiao Zheng, Jialin Li, Meina Fu, Shuxia Yao, Keith M. Kendrick, Benjamin Becker   +11 more
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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
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Voxel-Based Morphometry of Cerebellar Lobules in Essential Tremor

Frontiers 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, Amar Awad, Amar Awad, Amar Awad, Patric Blomstedt, Anders Fytagoridis   +5 more
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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
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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
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Voxel-based morphometry in amyotrophic lateral sclerosis

Вестник рентгенологии и радиологии, 2019
Objective: to investigate changes in grey matter volume in patients with classical amyotrophic lateral sclerosis (ALS) and lower motor neuron syndrome (LMNS) with voxel-based morphometry (VBM).Material and methods.
I. S. Bakulin, R. N. Konovalov, M. V. Krotenkova, N. A. Suponeva, M. N. Zakharova   +4 more
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Patterns of regional gray matter loss at different stages of schizophrenia: A multisite, cross-sectional VBM study in first-episode and chronic illness

NeuroImage: Clinical, 2016
Background: Structural brain abnormalities in schizophrenia have been repeatedly demonstrated in magnetic resonance imaging (MRI) studies, but it remains unclear whether these are static or progressive in nature.
Ulysses S. Torres, Fabio L.S. Duran, Maristela S. Schaufelberger, José A.S. Crippa, Mario R. Louzã, Paulo C. Sallet, Caroline Y.O. Kanegusuku, Helio Elkis, Wagner F. Gattaz, Débora P. Bassitt, Antonio W. Zuardi, Jaime Eduardo C. Hallak, Claudia C. Leite, Claudio C. Castro, Antonio Carlos Santos, Robin M. Murray, Geraldo F. Busatto   +16 more
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