ArticleCNS neuroscience & therapeutics2023
Genes associated with spontaneous brain activity changes in clinically different patients with major depressive disorder: A transcription-neuroimaging association study.
Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Shared genetic underpinnings of gray matter volume alterations and metabolic traits in major depressive disorder.BMC psychiatry · 2026Pooled it
- Cell-type and spatiotemporal transcriptional signatures of white matter morphometric similarity network alterations in major depressive disorder.Psychological medicine · 2026Article
- Mapping Multiscale Brain Changes in Primary Angle-Closure Glaucoma Using Regional Radiomics Similarity Networks.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Neurobiological mechanisms and brain network dysfunction in major depressive disorder: an integrative review.Frontiers in integrative neuroscience · 2026Review
- Recent developments in imaging transcriptomics for psychiatric disorders.Psychoradiology · 2026Review
- Neural Plasticity Induced by Working Memory Training: Insights From Cortical Microstructure and Transcriptional Profiles.CNS neuroscience & therapeutics · 2025Article
- Brain connectivity and transcriptional changes induced by rTMS in first-episode major depressive disorder.Translational psychiatry · 2025Article
- Review
- Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2023Article
- Genes associated with spontaneous brain activity changes in clinically different patients with major depressive disorder: A transcription-neuroimaging association study.CNS neuroscience & therapeutics · 2023Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
aimsThe amplitude of low-frequency fluctuations (ALFF) of resting-state functional MRI signals is a reliable neuroimaging measure of spontaneous brain activity. Inconsistent ALFF alterations have been reported in major depressive disorder (MDD) possibly due to clinical heterogeneity. This study was designed to investigate clinically sensitive and insensitive genes associated with ALFF alterations in MDD and the potential mechanisms.
methodsTranscription-neuroimaging association analyses of case-control ALFF differences from two independent neuroimaging datasets with gene expression data from Allen Human Brain Atlas were performed to identify the two gene sets. Various enrichment analyses were conducted to characterize their preference in biological functions, cell types, temporal stages, and shared effects with other psychiatric disorders.
resultsCompared with controls, first-episode and drug-naïve patients showed more extensive ALFF alterations than patients with varied clinical features. We identified 903 clinically sensitive genes and 633 clinically insensitive genes, and the former was enriched for genes with down-regulated expression in the cerebral cortex of MDD patients. Despite shared functions of cell communication, signaling, and transport, clinically sensitive genes were enriched for cell differentiation and development whereas clinically insensitive genes were for ion transport and synaptic signaling. Clinically sensitive genes showed enrichment for microglia and macrophage from childhood to young adulthood in contrast to clinically insensitive genes for neurons before early infancy. Clinically sensitive genes (15.2%) were less likely correlated with ALFF alterations in schizophrenia than clinically insensitive genes (66.8%), and both were not relevant to bipolar disorder and adult attention deficit and hyperactivity disorder based on a third independent neuroimaging dataset.
conclusionsPresent results provide novel insights into the molecular mechanisms of spontaneous brain activity changes in clinically different patients with MDD.
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