ArticleHuman brain mapping2017
Gene networks show associations with seed region connectivity.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Integrating optogenetic fMRI and spatial transcriptomics to reveal circuit-specific gene signatures in fronto- and hippo-thalamic networks.Nature communications · 2026Article
- Recent developments in imaging transcriptomics for psychiatric disorders.Psychoradiology · 2026Review
- Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disorders.Biological psychiatry global open science · 2025Article
- Transcriptional expression patterns of the cortical morphometric similarity network in progressive supranuclear palsy.CNS neuroscience & therapeutics · 2024Article
- Alzheimer's genetic risk effects on cerebral blood flow across the lifespan are proximal to gene expression.Neurobiology of aging · 2022Article
- Imaging Transcriptomics of Brain Disorders.Biological psychiatry global open science · 2022Review
- Gene expression associated with human brain activations in facial expression recognition.Brain imaging and behavior · 2022Article
- Divergent connectomic organization delineates genetic evolutionary traits in the human brain.Scientific reports · 2021Article
- Mapping gene transcription and neurocognition across human neocortex.Nature human behaviour · 2021Article
- Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures.Nature communications · 2021Article
- Functional network dynamics in a neurodevelopmental disorder of known genetic origin.Human brain mapping · 2020Article
- Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks.Frontiers in neural circuits · 2019Review
- Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex.NeuroImage · 2018Article
- Network Neuroscience and Personality.Personality neuroscience · 2018Review
- Different Behavioral Experiences Produce Distinctive Parallel Changes in, and Correlate With, Frontal Cortex and Hippocampal Global Post-translational Histone Levels.Frontiers in integrative neuroscience · 2018Article
- Age-Related Changes in Topological Degradation of White Matter Networks and Gene Expression in Chronic Schizophrenia.Brain connectivity · 2017Article
- Developmental Lead and/or Prenatal Stress Exposures Followed by Different Types of Behavioral Experience Result in the Divergence of Brain Epigenetic Profiles in a Sex, Brain Region, and Time-Dependent Manner: Implications for Neurotoxicology.Current opinion in toxicology · 2017Article
- Gray matter volume alterations in adolescents with ADHD are associated with cell type-specific transcriptional signatures.Frontiers in neurologyArticle
- Multi-modal brain data exploration software for imaging transcriptomics: A comparative evaluation and future directions.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Primary patterns in adult brain connectivity are established during development by coordinated networks of transiently expressed genes; however, neural networks remain malleable throughout life. The present study hypothesizes that structural connectivity from key seed regions may induce effects on their connected targets, which are reflected in gene expression at those targeted regions. To test this hypothesis, analyses were performed on data from two brains from the Allen Human Brain Atlas, for which both gene expression and DW-MRI were available. Structural connectivity was estimated from the DW-MRI data and an approach motivated by network topology, that is, weighted gene coexpression network analysis (WGCNA), was used to cluster genes with similar patterns of expression across the brain. Group exponential lasso models were then used to predict gene cluster expression summaries as a function of seed region structural connectivity patterns. In several gene clusters, brain regions located in the brain stem, diencephalon, and hippocampal formation were identified that have significant predictive power for these expression summaries. These connectivity-associated clusters are enriched in genes associated with synaptic signaling and brain plasticity. Furthermore, using seed region based connectivity provides a novel perspective in understanding relationships between gene expression and connectivity. Hum Brain Mapp 38:3126-3140, 2017. © 2017 Wiley Periodicals, Inc.
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