Sentence examples for brain imaging datasets from inspiring English sources

Today, the primary obstacle in exploiting very large-scale brain imaging datasets is computational, because existing software tools don't scale well and lack in quality assurance capabilities.

The authors describe a client-server approach to three-dimensional (3-D) visualization of neuroimaging data, which enables researchers to visualize, manipulate, and analyze large brain imaging datasets over the Internet.

Two variants of the movie were annotated separately: 1) an audio-movie version of Forrest Gump that has been used as a stimulus for the acquisition of a large public functional brain imaging dataset, and 2) the original audio-visual movie.

Multivariate analyses acknowledge spatial relatedness in whole-brain imaging datasets, offering greater sensitivity than conventional mass-univariate methods to detect spatially distributed effects [Norman et al., 2006].

Motivation: High-spatial resolution imaging datasets of mammalian brains have recently become available in unprecedented amounts.

ALE merges datasets generated by voxel-based brain imaging studies which explore every 'volume-element' or voxel throughout the whole brain space.

With increasing availability of versatile datasets (such as our Forrest Gump movie brain imaging project ), we anticipate more and more "feasibility" studies that explore the applicability of natural stimulation paradigms for particular aspects of cognition.

The use of high-resolution anatomical information (e.g. high-resolution computed tomography (HRCT) or MRI) for improved reconstruction of the activity datasets is appealing and has shown promising results in brain imaging [9].

He utilizes unsupervised methods of data-reduction modeling to study multidimensional dataset including clinical phenotypes, biofluid multi-omics analysis, and brain imaging.

With the addition of a future publication of brain imaging data recorded from a stimulation with the audio-visual movie, the full dataset will enable comparative studies investigating the processing of rich emotional stimuli via different sensory pathways.

Even if only one-third of them represent unique imaging datasets, there are clearly a plethora of imaging datasets of the human brain in various states that could be shared, reused or aggregated for novel analyses.