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Stamatios N. Sotiropoulos

Bio: Stamatios N. Sotiropoulos is an academic researcher from University of Nottingham. The author has contributed to research in topics: Human Connectome Project & Diffusion MRI. The author has an hindex of 43, co-authored 106 publications receiving 12619 citations. Previous affiliations of Stamatios N. Sotiropoulos include Nottingham University Hospitals NHS Trust & University of Crete.


Papers
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Journal ArticleDOI
TL;DR: The minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space are described.

3,992 citations

Journal ArticleDOI
TL;DR: The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes.

2,431 citations

Journal ArticleDOI
TL;DR: UK Biobank brain imaging is described and results derived from the first 5,000 participants' data release are presented, which have already yielded a rich range of associations between brain imaging and other measures collected by UK Biobanks.
Abstract: Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to address this problem directly by acquiring high-quality, consistently acquired imaging data from 100,000 predominantly healthy participants, with health outcomes being tracked over the coming decades. The brain imaging includes structural, diffusion and functional modalities. Along with body and cardiac imaging, genetics, lifestyle measures, biological phenotyping and health records, this imaging is expected to enable discovery of imaging markers of a broad range of diseases at their earliest stages, as well as provide unique insight into disease mechanisms. We describe UK Biobank brain imaging and present results derived from the first 5,000 participants' data release. Although this covers just 5% of the ultimate cohort, it has already yielded a rich range of associations between brain imaging and other measures collected by UK Biobank.

1,343 citations

Journal ArticleDOI
TL;DR: The pipeline is described in detail, following a brief overview of UK Biobank brain imaging and the acquisition protocol and several quantitative investigations carried out as part of the development of both the imaging protocol and the processing pipeline.

927 citations

Journal ArticleDOI
TL;DR: This overview of the Human Connectome Project focuses on diffusion MRI (dMRI) and the structural connectivity aspect of the project, and presents recent advances in acquisition and processing that allow for very high-quality in-vivo MRI data, whilst enabling scanning of a very large number of subjects.

843 citations


Cited by
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Journal ArticleDOI
11 Oct 2018-Nature
TL;DR: Deep phenotype and genome-wide genetic data from 500,000 individuals from the UK Biobank is described, describing population structure and relatedness in the cohort, and imputation to increase the number of testable variants to 96 million.
Abstract: The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.

4,489 citations

Journal ArticleDOI
TL;DR: Progress made during the first half of the Human Connectome Project project in refining the methods for data acquisition and analysis provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.

4,388 citations

Journal ArticleDOI
TL;DR: The minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space are described.

3,992 citations