Our objective was to investigate diverse clinical antecedents of total and regional brain volume abnormalities and white matter hyperintensity volume on term MRI in extremely low birth weight (birth weight ≤1000 g) survivors. A consecutive cohort of extremely low birth weight infants who survived to 38 weeks postmenstrual age (n = 122) and a control group of 16 healthy term newborns underwent b...

This study examined the relationships between regional brain volumes and semantic, phonological, and nonverbal fluency in 32 participants with Alzheimer's disease (AD). Object but not animal semantic fluency correlated with frontal and temporal gray matter volumes. Phonological fluency was not significantly associated with any brain volume examined. Nonverbal fluency was selectively associated ...

objective it has previously been shown that prenatal maternal administration of boswellia serrata gum resin (frankincense) improved learning and memory performance associated with an increase in the size of neuronal bodies in ca3 (cornu ammonis) of hippocampus. continuing the previous work, a morphometric study was designed on ca3 field to examine precisely the effect of prenatal administration...

This work presents a method for classification and segmentation of brain tumors based on deep learning analysis contrast T1 (T1c) MR images. To achieve this goal, three different networks are investigated i.e., U-Net, VGG16-Segnet, DeepLabv3+ models. In addition, the integration 3D narrow-band information MRI volumes is imported to input Convolutional Neural Network (CNN) describe more accurate...

Pre-processing and Data Augmentation play an important role in Deep Convolutional Neural Networks (DCNN). Whereby several methods aim for standardization augmentation of the dataset, we here propose a novel method aimed to feed DCNN with spherical space transformed input data that could better facilitate feature learning compared standard Cartesian images volumes. In this work, coordinates tran...

MRI-based brain volumetrics is an established methodology of great versatility and reliability with a broad range of potential applications in medicine and basic human brain science. We consider here, more theoretical implications of brain tissue volumes. Specifically, we suggest that volume is an evolutionarily and developmentally regulated fundamental property of tissue, in this instance the ...

OBJECTIVE This study was designed to test the hypothesis that baseline glucose metabolism and medial temporal lobe brain volumes are predictive of cognitive decline in normal older people. METHODS We performed positron emission tomography using [18F]fluorodeoxyglucose and structural magnetic resonance imaging at baseline in 60 cognitively normal community-dwelling older subjects who were part...

BACKGROUND Structural brain volume abnormalities are among the most extensively studied endophenotypes in schizophrenia. Bivariate genetic model fitting (adjusted to account for selection) was used to quantify the genetic relationship between schizophrenia and brain volumes and to estimate the heritability of these volumes. METHOD We demonstrated by simulation that the adjusted genetic model ...