Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Phenotype discovery from population brain imaging.

Medical image analysis - 1 Jul 2021

Gong Weikang, Beckmann Christian F, Smith Stephen M

Abstract excerpt

Neuroimaging allows for the non-invasive study of the brain in rich detail. Data-driven discovery of patterns of population variability in the brain has the potential to be extremely valuable for early disease diagnosis and understanding the brain. The resulting patterns can be used as imaging-derived phenotypes (IDPs), and may complement existing expert-curated IDPs. However, population datasets, comprising many...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Neuroimaging
Share to Phenotype
Share to Magnetic Resonance Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Connectome

Source

Open in PubMed Open full text

Identifiers

PMID: 33905882
DOI: 10.1016/j.media.2021.102050
PMCID: PMC8850869

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Phenotype discovery from population brain imaging.PMID 33905882Read ↗

Phenotype Discovery from Population Brain ImagingSemantic proximity Read ↗

Supervised Phenotype Discovery from Multimodal Brain ImagingSemantic proximity Read ↗

Supervised Phenotype Discovery From Multimodal Brain Imaging.Semantic proximity Read ↗

Supervised Phenotype Discovery from Multimodal Brain ImagingSemantic proximity Read ↗

The Genetic Architecture of Brain Structure and Function: A Data-Driven Interpretation Using genomICASemantic proximity Read ↗

Independent Genomic Sources of Brain Structure and FunctionSemantic proximity Read ↗

A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort.Semantic proximity Read ↗

A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function.Semantic proximity Read ↗

Voxel-wise Intermodal Coupling Analysis of Two or More Modalities using Local Covariance DecompositionSemantic proximity Read ↗

Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes.Semantic proximity Read ↗

Atlas of the Human Brain Imaging-derived Phenotypes and Disease RiskSemantic proximity Read ↗

Three-way parallel independent component analysis for imaging genetics using multi-objective optimization.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.