ReviewFrontiers in genetics2015
An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disorders.
Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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.
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Who cites it
49 citing papers in PubMed, 99 citations in OpenAlex.
- Mapping Focal and Generalized Effects of Common Genetic Variants on Human Brain Structure.bioRxiv : the preprint server for biology · 2026Article
- Aberrant fronto-limbic network in adolescents with attention-deficit/hyperactivity disorder: a multimodal MRI study using parallel ICA.European archives of psychiatry and clinical neuroscience · 2026Article
- Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium.Molecular psychiatry · 2026Review
- Abnormal Association Between Neural Activity and Genetic Expressions of Impulsivity in Attention-Deficit/Hyperactivity Disorder: An Adolescent Brain Cognitive Development Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Cognitive heterogeneity in major depressive disorder: classification by IQ trajectory and multimodal neuroimaging profiles.BMC psychiatry · 2025Article
- Striatal dopamine gene network moderates the effect of early adversity on the risk for adult psychiatric and cardiometabolic comorbidity.Scientific reports · 2024Article
- Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024Article
- Clinical application of sparse canonical correlation analysis to detect genetic associations with cortical thickness in Alzheimer's disease.Frontiers in neuroscience · 2024Article
- dcSBM: A federated constrained source-based morphometry approach for multivariate brain structure mapping.Human brain mapping · 2023Article
- Data-driven multimodal fusion: approaches and applications in psychiatric research.Psychoradiology · 2023Review
- Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study.Brain and behavior · 2022Article
- Multivariate genomic and transcriptomic determinants of imaging-derived personalized therapeutic needs in Parkinson's disease.Scientific reports · 2022Article
- Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.Medical image analysis · 2022Article
- The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study.Frontiers in neuroscience · 2022Article
- Cerebellar-Subcortical-Cortical Systems as Modulators of Cognitive Functions.Neuropsychology review · 2021Review
- Cognitive Implications of Correlated Structural Network Changes in Schizophrenia.Frontiers in integrative neuroscience · 2021Article
- Machine Learning Prediction of Treatment Outcome in Late-Life Depression.Frontiers in psychiatry · 2021Article
- Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!Computational and structural biotechnology journal · 2021Review
- Cognitive Development and Brain Gray Matter Susceptibility to Prenatal Adversities: Moderation by the Prefrontal Cortex Brain-Derived Neurotrophic Factor Gene Co-expression Network.Frontiers in neuroscience · 2021Article
- COMT-Polymorphisms Modulated Functional Profile of the Fusiform Face Area Contributes to Face-Specific Recognition Ability.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Complex inherited phenotypes, including those for many common medical and psychiatric diseases, are most likely underpinned by multiple genes contributing to interlocking molecular biological processes, along with environmental factors (Owen et al., 2010). Despite this, genotyping strategies for complex, inherited, disease-related phenotypes mostly employ univariate analyses, e.g., genome wide association. Such procedures most often identify isolated risk-related SNPs or loci, not the underlying biological pathways necessary to help guide the development of novel treatment approaches. This article focuses on the multivariate analysis strategy of parallel (i.e., simultaneous combination of SNP and neuroimage information) independent component analysis (p-ICA), which typically yields large clusters of functionally related SNPs statistically correlated with phenotype components, whose overall molecular biologic relevance is inferred subsequently using annotation software suites. Because this is a novel approach, whose details are relatively new to the field we summarize its underlying principles and address conceptual questions regarding interpretation of resulting data and provide practical illustrations of the method.
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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.