ArticleBrain : a journal of neurology2018
MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder.
Article in Brain : a journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.
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Who cites it
64 citing papers in PubMed, 3 syntheses or guidelines pooled it, 106 citations in OpenAlex.
- Differentially expressed microRNAs in human depression: a systematic review of case-control and longitudinal studies.BMC psychiatry · 2025Pooled it
- Identifying the differentially expressed peripheral blood microRNAs in psychiatric disorders: a systematic review and meta-analysis.Frontiers in psychiatry · 2024Pooled it
- A technical review of canonical correlation analysis for neuroscience applications.Human brain mapping · 2020Pooled it
- The role of microRNAs in executive functions: a comprehensive review and bioinformatics analysis of human and animal studies.Molecular psychiatry · 2026Review
- Blood-derived microRNA signatures associated with hippocampal structure and atrophy rate: findings from the Rhineland Study.Molecular psychiatry · 2026Article
- Expression levels of miR-132, miR-134, and miR-195 in treatment-naïve children and adolescents with obsessive-compulsive disorder: a case-control study.BMC psychiatry · 2026Article
- Multimodal neuroimaging reveals brain neurochemical disturbances associated with superoxide dismutase in first-episode drug-naïve schizophrenia.Translational psychiatry · 2026Article
- Role of microRNAs in major brain diseases, focusing on neuroinflammation and neuronal apoptosis.Iranian journal of basic medical sciences · 2026Review
- Alterations in miR-151a-3p of plasma-derived exosomes and associated multimodal neuroimaging patterns in major depressive disorder.Molecular psychiatry · 2025Article
- Identification of Potential Common Pathogenic Mechanisms Underlying Osteoarthritis and Major Depressive Disorder Using Bioinformatics Analysis.Immunity, inflammation and disease · 2025Article
- Alterations of structural-functional connectivity coupling in older adults with depressive symptoms.Psychological medicine · 2025Article
- Cognitive heterogeneity in major depressive disorder: classification by IQ trajectory and multimodal neuroimaging profiles.BMC psychiatry · 2025Article
- Fusion analysis of sMRI-DTI in patients with ulcerative colitis by multimodal CCA + joint ICA and associated neurotransmitter profiles.BMC medicine · 2025Article
- The Impact of Atlas Parcellation on Functional Connectivity Analysis Across Six Psychiatric Disorders.Human brain mapping · 2025Article
- Brain injury, endocrine disruption, and immune dysregulation in HIV-positive men who have sex with men with late HIV diagnosis.Frontiers in immunology · 2025Article
- Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging.Translational psychiatry · 2024Article
- Symptom-guided multimodal neuroimage fusion patterns in children with attention-deficit/hyperactivity disorder and its potential "brain structure-function-cognition-behavior" pathological pathways.European child & adolescent psychiatry · 2024Article
- Review
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression.JAMA network open · 2024Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 2 countries.
Funding
Abstract
There is compelling evidence that epigenetic factors contribute to the manifestation of depression, in which microRNA132 (miR-132) is suggested to play a pivotal role in the pathogenesis and neuronal mechanisms underlying the symptoms of depression. Additionally, several depression-associated genes [MECP2, ARHGAP32 (p250GAP), CREB, and period genes] were experimentally validated as miR-132 targets. However, most studies regarding miR-132 in major depressive disorder are based on post-mortem, animal models or genetic comparisons. This work will be the first attempt to investigate how miR-132 dysregulation may impact covariation of multimodal brain imaging data in 81 unmedicated major depressive patients and 123 demographically-matched healthy controls, as well as in a medication-naïve subset of major depressive patients. MiR-132 values in blood (patients > controls) was used as a prior reference to guide fusion of three MRI features: fractional amplitude of low frequency fluctuations, grey matter volume, and fractional anisotropy. The multimodal components correlated with miR-132 also show significant group difference in loadings. Results indicate that (i) higher miR-132 levels in major depressive disorder are associated with both lower fractional amplitude of low frequency fluctuations and lower grey matter volume in fronto-limbic network; and (ii) the identified brain regions linked with increased miR-132 levels were also associated with poorer cognitive performance in attention and executive function. Using a data-driven, supervised-learning method, we determined that miR-132 dysregulation in major depressive disorder is associated with multi-facets of brain function and structure in fronto-limbic network (the key network for emotional regulation and memory), which deepens our understanding of how miR-132 dysregulation in major depressive disorders contribute to the loss of specific brain areas and is linked to relevant cognitive impairments.
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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.