ArticleFrontiers in neuroinformatics2013
High-throughput neuro-imaging informatics.
Article in Frontiers in neuroinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup.Human brain mapping · 2021Article
- Structural neuroimaging of the altered brain stemming from pediatric and adolescent hearing loss-Scientific and clinical challenges.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease.Frontiers in neuroscience · 2020Article
- Test-retest reproducibility of a multi-atlas automated segmentation tool on multimodality brain MRI.Brain and behavior · 2019Article
- Article
- Relationship between neuropsychological behavior and brain white matter in first-episode psychosis.Schizophrenia research · 2019Article
- Baby brain atlases.NeuroImage · 2019Review
- Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening.Journal of healthcare engineering · 2019Article
- Structural signature in SCA1: clinical correlates, determinants and natural history.Journal of neurology · 2018Article
- Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI-Application in Premanifest Huntington's Disease.Journal of visualized experiments : JoVE · 2018Article
- Article
- Structural signature of classical versus late-onset friedreich's ataxia by Multimodality brain MRI.Human brain mapping · 2017Article
- DTI Analysis of Presbycusis Using Voxel-Based Analysis.AJNR. American journal of neuroradiology · 2016Article
- Going beyond the current neuroinformatics infrastructure.Frontiers in neuroinformatics · 2015Article
- Construction and application of human neonatal DTI atlases.Frontiers in neuroanatomy · 2015Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
This paper describes neuroinformatics technologies at 1 mm anatomical scale based on high-throughput 3D functional and structural imaging technologies of the human brain. The core is an abstract pipeline for converting functional and structural imagery into their high-dimensional neuroinformatic representation index containing O(1000-10,000) discriminating dimensions. The pipeline is based on advanced image analysis coupled to digital knowledge representations in the form of dense atlases of the human brain at gross anatomical scale. We demonstrate the integration of these high-dimensional representations with machine learning methods, which have become the mainstay of other fields of science including genomics as well as social networks. Such high-throughput facilities have the potential to alter the way medical images are stored and utilized in radiological workflows. The neuroinformatics pipeline is used to examine cross-sectional and personalized analyses of neuropsychiatric illnesses in clinical applications as well as longitudinal studies. We demonstrate the use of high-throughput machine learning methods for supporting (i) cross-sectional image analysis to evaluate the health status of individual subjects with respect to the population data, (ii) integration of image and personal medical record non-image information for diagnosis and prognosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.