Results 31 to 40 of about 911,585 (172)

GESTATIONAL DEVELOPMENT OF BRAIN

open access: yesObstetrical & Gynecological Survey, 1978
Eighty normal human brains varying from 22 weeks' gestation to 1 month postnatal life were graded according to convolutional development and compared with the microscopical development of kidneys and the gestational age as given by the mother. Excellent correlation was obtained between the gross appearance of the brain and the microscopical appearance ...
Clarisse L. Dolman   +1 more
openaire   +3 more sources

The vulnerable developing brain [PDF]

open access: yesProceedings of the National Academy of Sciences, 2011
During healthy pregnancy, appropriate levels of fetal nutrition and oxygenation are indispensable for the optimal growth and development of the fetal organs. In pregnancy complicated by decreased nutrient and oxygen delivery to the fetus, current dogma is that the growth and development of key organs, such as the brain, are “spared” at the expense of ...
openaire   +3 more sources

Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks [PDF]

open access: yesarXiv, 2018
Brain age prediction based on neuroimaging data could help characterize both the typical brain development and neuropsychiatric disorders. Pattern recognition models built upon functional connectivity (FC) measures derived from resting state fMRI (rsfMRI) data have been successfully used to predict the brain age. However, most existing studies focus on
arxiv  

Brain-to-brain Wireless Communication and Technologies Beyond 5G [PDF]

open access: yesarXiv, 2019
During the last few years, intensive research efforts are being done in the field of brain interfaces to extract neuro-information from the signals representing neuronal activities in the human brain. A recent development of these interfaces is capable of direct communication between animals' brains, enabling direct brain-to-brain communication ...
arxiv  

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning [PDF]

open access: yesarXiv
Brain network analysis plays an increasingly important role in studying brain function and the exploring of disease mechanisms. However, existing brain network construction tools have some limitations, including dependency on empirical users, weak consistency in repeated experiments and time-consuming processes.
arxiv  

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