ReviewBrain communications2024
Integrative approach of omics and imaging data to discover new insights for understanding brain diseases.
Review in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Early-life infections and life course health and disease in the EU child cohort network.European journal of epidemiology · 2026Article
- The landscape of plasma proteomic links to human organ imaging.Nature communications · 2026Article
- Progress and new challenges in image-based profiling.Molecular systems biology · 2026Review
- Review
- Spatial transcriptomics in epilepsy research: Early successes, opportunities, and challenges.Epilepsia · 2026Article
- AI-driven nanomedicine for cancer theranostics.Molecular cancer · 2026Review
- Network pharmacology approach to unravel the neuroprotective potential of natural products: a narrative review.Molecular diversity · 2026Review
- Computational whole-body-exposome models for global precision brain health.Nature communications · 2025Article
- Experimental models of epilepsy: A comprehensive review of mechanisms, translational relevance, and future directions.Veterinary world · 2025Review
- Intervention on Modifiable Lifestyle and Physiological Factors via Variational Autoencoder Reveals Changes in Functional Connectivity-Mediated Risk for Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Neural Metabolic Networks: Key Elements of Healthy Brain Function.Journal of neurochemistry · 2025Review
- Genomic and Transcriptomic Approaches Advance the Diagnosis and Prognosis of Neurodegenerative Diseases.Genes · 2025Review
- A foundation model for learning genetic associations from brain imaging phenotypes.Bioinformatics advances · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatments that can completely resolve brain diseases have yet to be discovered. Omics is a novel technology that allows researchers to understand the molecular pathways underlying brain diseases. Multiple omics, including genomics, transcriptomics and proteomics, and brain imaging technologies, such as MRI, PET and EEG, have contributed to brain disease-related therapeutic target detection. However, new treatment discovery remains challenging. We focused on establishing brain multi-molecular maps using an integrative approach of omics and imaging to provide insights into brain disease diagnosis and treatment. This approach requires precise data collection using omics and imaging technologies, data processing and normalization. Incorporating a brain molecular map with the advanced technologies through artificial intelligence will help establish a system for brain disease diagnosis and treatment through regulation at the molecular level.
Indexed as
Identifiers
What Socratic 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 Socratic graph.