ArticlePloS one2016
MENGA: A New Comprehensive Tool for the Integration of Neuroimaging Data and the Allen Human Brain Transcriptome Atlas.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association of CNR1 gene and cannabinoid 1 receptor protein in the human brain.Journal of neuroscience research · 2023Pooled it
- Semantically defined subdomains of functional neuroimaging literature and their corresponding brain regions.Human brain mapping · 2018Pooled it
- Kinetic modelling of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Trial
- 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
- Integrating optogenetic fMRI and spatial transcriptomics to reveal circuit-specific gene signatures in fronto- and hippo-thalamic networks.Nature communications · 2026Article
- Spatial gene expression and functional network abnormalities in multiple sclerosis: exploring biological influence on brain functional reorganization.Translational psychiatry · 2026Article
- The expression of insulin signaling and N-methyl-D-aspartate receptor genes in areas of gray matter atrophy is associated with cognitive function in type 2 diabetes.Journal of Alzheimer's disease : JAD · 2025Article
- Use of brain MRI and gene expression atlases to reconstruct the pathophysiology of autoimmune neurological disorders: The proof-of-concept of NMOSD.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Spatial correspondence among regional gene expressions and gray matter volume loss in multiple sclerosis.Molecular psychiatry · 2024Article
- Article
- aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024Article
- Strength of spatial correlation between gray matter connectivity and patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival.Frontiers in neurology · 2024Article
- Strength of spatial correlation between structural brain network connectivity and brain-wide patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival.medRxiv : the preprint server for health sciences · 2023Article
- Article
- Neurotransmitter receptor densities are associated with changes in regional Cerebral blood flow during clinical ongoing pain.Human brain mapping · 2022Article
- Regional gene expression patterns are associated with task-specific brain activation during reward and emotion processing measured with functional MRI.Human brain mapping · 2022Article
- Genetic influence on brain volume alterations related to self-reported childhood abuse.Frontiers in neuroscience · 2022Article
- Imaging of the glioma microenvironment by TSPO PET.European journal of nuclear medicine and molecular imaging · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionBrain-wide mRNA mappings offer a great potential for neuroscience research as they can provide information about system proteomics. In a previous work we have correlated mRNA maps with the binding patterns of radioligands targeting specific molecular systems and imaged with positron emission tomography (PET) in unrelated control groups. This approach is potentially applicable to any imaging modality as long as an efficient procedure of imaging-genomic matching is provided. In the original work we considered mRNA brain maps of the whole human genome derived from the Allen human brain database (ABA) and we performed the analysis with a specific region-based segmentation with a resolution that was limited by the PET data parcellation. There we identified the need for a platform for imaging-genomic integration that should be usable with any imaging modalities and fully exploit the high resolution mapping of ABA dataset.
aimIn this work we present MENGA (Multimodal Environment for Neuroimaging and Genomic Analysis), a software platform that allows the investigation of the correlation patterns between neuroimaging data of any sort (both functional and structural) with mRNA gene expression profiles derived from the ABA database at high resolution.
resultsWe applied MENGA to six different imaging datasets from three modalities (PET, single photon emission tomography and magnetic resonance imaging) targeting the dopamine and serotonin receptor systems and the myelin molecular structure. We further investigated imaging-genomic correlations in the case of mismatch between selected proteins and imaging targets.
Indexed as
Identifiers
What OpenQuestion holds
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.