ReviewBiological psychiatry global open science2022
Imaging Transcriptomics of Brain Disorders.
Review in Biological psychiatry global open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
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Who cites it
54 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Shared genetic underpinnings of gray matter volume alterations and metabolic traits in major depressive disorder.BMC psychiatry · 2026Pooled it
- Generalizability of Treatment Outcome Prediction Across Antidepressant Treatment Trials in Depression.JAMA network open · 2025Trial
- Diffusion MRI reveals amyloid plaque-associated cellular signatures through spatial transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Cellular signatures underlying functional resilience in presymptomatic frontotemporal dementia.Brain : a journal of neurology · 2026Article
- Molecular, cellular and network mapping of brain structural deviations in patients with Post-COVID19 syndrome.Brain, behavior, & immunity - health · 2026Article
- Application of the Allen Human Brain Atlas in Alzheimer's disease and Parkinson's disease.Translational neurodegeneration · 2026Review
- Transcriptional signatures of cortical morphometric variability in temporal lobe epilepsy.Epilepsia open · 2026Article
- Global network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages.Brain : a journal of neurology · 2026Article
- Reduced expression of N-methyl-D-aspartate receptor and calcium signaling genes in gray matter is associated with cancer-related cognitive impairment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Multi-ancestry gene expression models amplify transcriptome-wide association study discovery and validation.Nature communications · 2026Article
- BrainEnrich: Revealing Biological Insights for Imaging-Derived Phenotypes Through Transcriptomic Enrichment.Human brain mapping · 2026Article
- Transcriptome-informed brain cartography of polygenic risk and association with brain structure in major psychiatric disorders.Molecular psychiatry · 2026Article
- Selective molecular and network architecture features underlie brain cortical atrophy in dementia with Lewy bodies.Journal of biomedical science · 2026Article
- Multiparametric MRI and imaging transcriptomics reveal molecular and cellular correlates of neurodegeneration in experimental Parkinsonism.NPJ Parkinson's disease · 2026Article
- Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks.JAMA psychiatry · 2026Article
- Abnormal dynamics of brain networks in bipolar disorder: a dynamic degree centrality and imaging-transcriptomic investigation.Psychopharmacology · 2026Article
- Regional gene expression and brain atrophy in dementia with Lewy bodies: an imaging transcriptomics study.NPJ Parkinson's disease · 2026Article
- Altered spontaneous brain activity is associated with cognitive impairment in patients with Kallmann syndrome.Reproductive biology and endocrinology : RB&E · 2026Article
- Spatial gene expression and functional network abnormalities in multiple sclerosis: exploring biological influence on brain functional reorganization.Translational psychiatry · 2026Article
- Recent developments in imaging transcriptomics for psychiatric disorders.Psychoradiology · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Noninvasive neuroimaging is a powerful tool for quantifying diverse aspects of brain structure and function in vivo, and it has been used extensively to map the neural changes associated with various brain disorders. However, most neuroimaging techniques offer only indirect measures of underlying pathological mechanisms. The recent development of anatomically comprehensive gene expression atlases has opened new opportunities for studying the transcriptional correlates of noninvasively measured neural phenotypes, offering a rich framework for evaluating pathophysiological hypotheses and putative mechanisms. Here, we provide an overview of some fundamental methods in imaging transcriptomics and outline their application to understanding brain disorders of neurodevelopment, adulthood, and neurodegeneration. Converging evidence indicates that spatial variations in gene expression are linked to normative changes in brain structure during age-related maturation and neurodegeneration that are in part associated with cell-specific gene expression markers of gene expression. Transcriptional correlates of disorder-related neuroimaging phenotypes are also linked to transcriptionally dysregulated genes identified in ex vivo analyses of patient brains. Modeling studies demonstrate that spatial patterns of gene expression are involved in regional vulnerability to neurodegeneration and the spread of disease across the brain. This growing body of work supports the utility of transcriptional atlases in testing hypotheses about the molecular mechanism driving disease-related changes in macroscopic neuroimaging phenotypes.
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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.