Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability
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DOI: 10.1007/s12021-020-09481-9
Abstract: Human brain atlases have been evolving tremendously, propelled recently by brain big projects, and driven by sophisticated imaging techniques, advanced brain mapping methods, vast data, analytical strategies, and powerful computing. We overview here this evolution… read more here.
Keywords: functionality; availability; content applications; human brain ... See more keywords
Standardizing human brain parcellations
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DOI: 10.1038/s41597-021-00849-3
Abstract: Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives.… read more here.
Keywords: human brain; brain parcellations; topology; standardizing human ... See more keywords
Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases
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DOI: 10.1126/science.abe8457
Abstract: To determine the impact of genetic variants on the brain, we used genetically informed brain atlases in genome-wide association studies of regional cortical surface area and thickness in 39,898 adults and 9136 children. We uncovered… read more here.
Keywords: informed brain; genetically informed; area; brain atlases ... See more keywords
A neuroscientist’s guide to using murine brain atlases for efficient analysis and transparent reporting
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2023.1154080
Abstract: Brain atlases are widely used in neuroscience as resources for conducting experimental studies, and for integrating, analyzing, and reporting data from animal models. A variety of atlases are available, and it may be challenging to… read more here.
Keywords: neuroscientist guide; brain; guide using; using murine ... See more keywords
Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.697168
Abstract: Recently, machine learning techniques have been widely applied in discriminative studies of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however, the effects of brain atlases and machine learning methods remain largely unknown. In… read more here.
Keywords: machine learning; mri; schizophrenia patients; brain ... See more keywords