Results 1 to 10 of about 5,320,256 (311)

Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm

Frontiers in Psychiatry, 2020
ObjectiveAlthough distinctive structural abnormalities occur in patients with schizophrenia, detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging.
Jihoon Oh, Baek-Lok Oh, Kyong-Uk Lee, Jeong-Ho Chae, Kyongsik Yun, Kyongsik Yun   +5 more
doaj   +4 more sources

Symmetric diffeomorphic modelling of longitudinal structural MRI [PDF]

Frontiers in Neuroscience, 2013
This technology report describes the longitudinal registration approach that we intend to incorporate into SPM12. It essentially describes a group-wise intra-subject modelling framework, which combines diffeomorphic and rigid-body registration ...
John eAshburner, Gerard R. Ridgway
doaj   +4 more sources

MRI structural findings in schizophrenia [PDF]

Brazilian Journal of Psychiatry, 2001
Andrew R Gilbert, Matcheri S Keshavan
doaj   +4 more sources

Imaging Structural Networks With MRI

Harvard Data Science Review, 2018
Flavio Fröhlich
doaj   +2 more sources

Aberrant callosal morphology in ex-smokers

Journal of Integrative Neuroscience, 2022
Background: Cigarette smoking is associated with widespread structural alterations in both brain hemispheres as well as of the corpus callosum (i.e., the brain’s main interhemispheric white matter pathway). While similar hemispheric alterations have also
Caitlin Dale, Delshad Kalantary, Eileen Luders, Florian Kurth   +3 more
doaj   +1 more source

Progress in the comparative study of structural and functional magnetic resonance imaging of schizophrenia and obsessive-compulsive disorder

Sichuan jingshen weisheng, 2021
Schizophrenia and obsessive-compulsive disorder are common disorders in clinical psychiatry， accompanied by varying degrees of painful experience and social functioning impairment， and a high prevalence rate of co-morbidities.
Yu Xiaoman, Zhou Zhenhe, Wang Shuai, Tian Lin   +3 more
doaj   +1 more source

The Role of Structure MRI in Diagnosing Autism [PDF]

Diagnostics, 2022
This study proposes a Computer-Aided Diagnostic (CAD) system to diagnose subjects with autism spectrum disorder (ASD). The CAD system identifies morphological anomalies within the brain regions of ASD subjects. Cortical features are scored according to their contribution in diagnosing a subject to be ASD or typically developed (TD) based on a trained ...
Mohamed T. Ali, Yaser ElNakieb, Ahmed Elnakib, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Jawad Yousaf, Hadil Abu Khalifeh, Manuel Casanova, Gregory Barnes, Ayman El-Baz   +10 more
openaire   +3 more sources

A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI

Frontiers in Aging Neuroscience, 2022
It is of potential clinical value to improve the accuracy of Alzheimer's disease (AD) recognition using structural MRI. We proposed a reparametrized convolutional neural network (Re-CNN) to discriminate AD from NC by applying morphological metrics and ...
Zhenpeng Chen, Xiao Mo, Rong Chen, Pujie Feng, Haiyun Li   +4 more
doaj   +1 more source

Structural MRI findings and postoperative prognosis in patients with temporal lobe epilepsy: a retrospective cohort study

Journal of the Mexican Federation of Radiology and Imaging, 2023
The association between preoperative structural magnetic resonance imaging (MRI) and seizure freedom in Mexican patients with refractory temporal lobe epilepsy (TLE) undergoing surgery has not been reported.
Vanesa A. Cuellar-Figueroa, Jaime I. Castro-Macias, Sara P. Perez-Reyes, Omar Sanchez-Figueroa   +3 more
doaj   +1 more source

Dynamically switchable magnetic resonance imaging contrast agents

Exploration, 2021
Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons.
Qiyue Wang, Zeyu Liang, Fangyuan Li, Jiyoung Lee, Liang Ee Low, Daishun Ling   +5 more
doaj   +1 more source