ArticleHuman brain mapping2009
Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA.
Article in Human brain mapping, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
151 citing papers in PubMed, 1 synthesis or guideline pooled it, 276 citations in OpenAlex.
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- Effects of an alpha 7-nicotinic agonist on default network activity in schizophrenia.Biological psychiatry · 2011Trial
- Brain network correlates of fatigue, depression, and anxiety in patients with Crohn's Disease in different disease states.BMC gastroenterology · 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
- Multimodal Fusion of Structural and Diffusion MRI for Intelligence Prediction.Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation · 2026Article
- Investigating the Amyloid-Tau-Neurodegeneration Framework in Alzheimer's Disease Using Semi-Supervised Multimodal Imaging Data Fusion.medRxiv : the preprint server for health sciences · 2025Article
- 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
- aNy-way ICA and its application to estimate cortico-thalamo-cerebellar functional links in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion.Neuroinformatics · 2025Article
- Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents.Developmental cognitive neuroscience · 2025Article
- Links between brain structure and function in children with autism spectrum disorder by parallel independent component analysis.Brain imaging and behavior · 2025Article
- Structure-function interrelationships and associated neurotransmitter profiles in drug-naïve benign childhood epilepsy with central-temporal spikes patients.European radiology · 2025Article
- Gray and white matter alterations in Obsessive-Compulsive Personality Disorder: a data fusion machine learning approach.Frontiers in human neuroscience · 2025Article
- A multivariate to multivariate approach for voxel-wise genome-wide association analysis.Statistics in medicine · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.NeuroImage · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.Network neuroscience (Cambridge, Mass.) · 2024Article
- Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.NeuroImage · 2024Article
- Anxious Brains: A Combined Data Fusion Machine Learning Approach to Predict Trait Anxiety from Morphometric Features.Sensors (Basel, Switzerland) · 2023Article
- Bayesian nonparametric method for genetic dissection of brain activation region.Frontiers in neuroscience · 2023Article
91 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
There is current interest in understanding genetic influences on both healthy and disordered brain function. We assessed brain function with functional magnetic resonance imaging (fMRI) data collected during an auditory oddball task--detecting an infrequent sound within a series of frequent sounds. Then, task-related imaging findings were utilized as potential intermediate phenotypes (endophenotypes) to investigate genomic factors derived from a single nucleotide polymorphism (SNP) array. Our target is the linkage of these genomic factors to normal/abnormal brain functionality. We explored parallel independent component analysis (paraICA) as a new method for analyzing multimodal data. The method was aimed to identify simultaneously independent components of each modality and the relationships between them. When 43 healthy controls and 20 schizophrenia patients, all Caucasian, were studied, we found a correlation of 0.38 between one fMRI component and one SNP component. This fMRI component consisted mainly of parietal lobe activations. The relevant SNP component was contributed to significantly by 10 SNPs located in genes, including those coding for the nicotinic alpha-7 cholinergic receptor, aromatic amino acid decarboxylase, disrupted in schizophrenia 1, among others. Both fMRI and SNP components showed significant differences in loading parameters between the schizophrenia and control groups (P = 0.0006 for the fMRI component; P = 0.001 for the SNP component). In summary, we constructed a framework to identify interactions between brain functional and genetic information; our findings provide a proof-of-concept that genomic SNP factors can be investigated by using endophenotypic imaging findings in a multivariate format.
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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.