Results 1 to 10 of about 253,906 (120)
Aberrant callosal morphology in ex-smokers
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 +3 more
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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 +3 more
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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 +4 more
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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 +3 more
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Dynamically switchable magnetic resonance imaging contrast agents
Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons.
Qiyue Wang +5 more
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Genetic predictors of hippocampal subfield volume in PTSD cases and trauma-exposed controls
Behavioural, structural, and functional neuroimaging have implicated the hippocampus as a critical brain region in posttraumatic stress disorder (PTSD) pathogenesis. Recent work in a normative, primarily European, sample identified 15 unique genetic loci
Rajendra A. Morey +15 more
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Brain development is regularly studied using structural MRI. Recently, studies have used a combination of statistical learning and large-scale imaging databases of healthy children to predict an individual’s age from structural MRI.
Daniel Griffiths-King +2 more
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The purpose of this study was to develop and verify a convolutional neural network (CNN)-based deep-learning algorithm to identify tumor progression versus response by adding amide proton transfer-weighted (APTw) MRI data to structural MR images as the ...
Pengfei Guo +6 more
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Imaging perivascular space structure and function using brain MRI
In this article, we provide an overview of current neuroimaging methods for studying perivascular spaces (PVS) in humans using brain MRI. In recent years, an increasing number of studies highlighted the role of PVS in cerebrospinal/interstial fluid ...
Giuseppe Barisano +6 more
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The arcuate fasciculus network and verbal deficits in psychosis
Verbal learning (VL) and fluency (VF) are prominent cognitive deficits in psychosis, of which the precise neuroanatomical contributions are not fully understood.
Kenney Joanne P.M. +12 more
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