ReviewTrends in cognitive sciences2023
Brain connectomics: time for a molecular imaging perspective?
Review in Trends in cognitive sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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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
54 citing papers in PubMed.
- Unveiling Functional-Metabolic Synergy in the Healthy Brain: Multivariate Integration of Dynamic [Human brain mapping · 2026Article
- Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens in the ageing brain.European journal of nuclear medicine and molecular imaging · 2026Article
- Application-Driven Modular Design of Gold Nanoclusters for In Vivo Fluorescence Imaging.Small methods · 2026Review
- Glutamatergic signaling underlies brain structural organization for mathematical and reading abilities in children.Nature communications · 2026Article
- Bridging molecules and connectome: network biomarkers guided by neurotransmitter architecture in major depressive disorder.Translational psychiatry · 2026Article
- Neurovascular-metabolic dysregulation, metabolic connectomics, and metabolic functional changes in Alzheimer's disease: A preclinical and clinical comparison.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Network-based disease fingerprinting with neuroinflammation PET imaging.Journal of neuroinflammation · 2026Article
- Multiscale metabolic covariance networks uncover stage-specific biomarker signatures across the Alzheimer's disease continuum.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- [Brain structure & function · 2026Article
- Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens with age.bioRxiv : the preprint server for biology · 2026Article
- Mapping individual molecular connectomes in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- GABAMolecular psychiatry · 2026Article
- The Tip-of-the-Tongue Phenomenon: Cognitive, Neural, and Neurochemical Perspectives.Biomedicines · 2026Review
- Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- PET in conjunction with resting-state functional MRI for the study of chronic disorders of consciousness.Brain communications · 2026Article
- Clinical development and guiding theory of transcranial magnetic stimulation: a literature review.Annals of medicine · 2025Review
- Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography.European journal of nuclear medicine and molecular imaging · 2025Review
- Brain Network Signature of Autoscopic Phenomena in Humans.CNS neuroscience & therapeutics · 2025Article
- Network-based disease fingerprinting with neuroinflammation PET imaging.Research square · 2025Article
- Glucose metabolism in hyper-connected regions predicts neurodegeneration and speed of conversion in Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
In the past two decades brain connectomics has evolved into a major concept in neuroscience. However, the current perspective on brain connectivity and how it underpins brain function relies mainly on the hemodynamic signal of functional magnetic resonance imaging (MRI). Molecular imaging provides unique information inaccessible to MRI-based and electrophysiological techniques. Thus, positron emission tomography (PET) has been successfully applied to measure neural activity, neurotransmission, and proteinopathies in normal and pathological cognition. Here, we position molecular imaging within the brain connectivity framework from the perspective of timeliness, validity, reproducibility, and resolution. We encourage the neuroscientific community to take an integrative approach whereby MRI-based, electrophysiological techniques, and molecular imaging contribute to our understanding of the brain connectome.
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