Article

Outlier detection in multimodal MRI identifies rare individual phenotypes among 20,000 brains

2021-05-10

Abstract excerpt

Outliers in neuroimaging represent spurious data or the data of unusual phenotypes that deserve special attention such as clinical follow-up. Outliers have usually been detected in a supervised or semi-supervised manner for labeled neuroimaging cohorts. There has been much less work using unsupervised outlier detection on large unlabeled cohorts like the UK Biobank brain imaging dataset. Given its large sample siz...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 950078d9-7c57-5599-adb9-c634a98c668e
DOI: 10.1101/2021.05.10.441017

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Outlier detection in multimodal MRI identifies rare individual phenotypes among 20,000 brainsDOI 10.1101/2021.05.10.441017Read

Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains.Semantic proximity Read

Auditing missingness and input-outcome circularity in unsupervised clinical phenotyping: an empirical case study in hospitalized traumatic brain injurySemantic proximity Read

Computational Mechanisms of Neuroimaging Biomarkers Uncovered by Multicenter Resting-State fMRI Connectivity Variation ProfileSemantic proximity Read

Examining real-world Alzheimer’s disease heterogeneity using neuroanatomical normative modellingSemantic proximity Read

Quantitative Neuroimaging Meets Normative Modelling: The Last Mile for Precision Medicine ApplicationsSemantic proximity Read

Dimensionality reduction establishes specificity in lesion network mappingSemantic proximity Read

Fast qualit <b>Y</b> con <b>T</b> rol me <b>T</b> hod fo <b>R</b> der <b>I</b> ved diff <b>U</b> sion <b>M</b> etrics ( <b>YTTRIUM</b> ) in big data analysis: UK Biobank 18608 exampleSemantic proximity Read

A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation frameworkSemantic proximity Read

Penalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotyping.Semantic proximity Read

A Guide for Quantifying and Optimizing Measurement Reliability for the Study of Individual DifferencesSemantic proximity Read

Two neurosubtypes of ADHD different from the clinical phenotypes.Semantic proximity Read

Dissecting Heterogeneity in Functional Network Connectivity Aberrations in Antipsychotic Medication-Naïve First Episode Psychosis Patients – A Normative Modeling StudySemantic proximity Read