Molecular connectivity studies of cerebral glucose metabolism and blood flow: a scoping review.

The brain's functional organization relies on neural, metabolic, and vascular interactions. Molecular neuroimaging offers powerful tools for assessing macroscale brain connectivity by capturing relationships between regional perfusion and glucose metabolism. This review summarizes molecular connectivity studies of cerebral blood flow (CBF) and metabolism, focusing on methodological approaches and key findings. A systematic search across MEDLINE, EMBASE, and Scopus identified studies employing radiotracers to examine brain perfusion or glucose metabolic connectivity. Data extraction focused on tracer type, connectivity methodology, population, and clinical relevance. Overall, 384 studies were included, covering healthy condition, dementia, movement disorders, psychiatric diseases, epilepsy, and disorders of consciousness. Both resting-state and task-based paradigms were identified, with perfusion studies being popular for detecting fast task-induced molecular connectivity changes. Metabolic connectivity, assessed via [18F]FDG-PET at rest, emerged as robust marker of functional integrity and disease progression, especially in neurodegenerative conditions. Multimodal PET/MRI studies revealed partial overlap between metabolic and hemodynamic connectivity. Noteworthy findings include the identification of default mode network through the study of CBF and disease-related covariance patterns in neurodegenerative disorders through the study of glucose metabolism. Integrating macroscale molecular brain organization studies with neurophysiological techniques will deepen the understanding of brain connectivity in health and disease. Additionally, total-body PET/MRI data may in the future elucidate brain-body interactions fostering a more comprehensive connectome framework.

• Publication year

  2026

• Venue

  Neuroscience and Biobehavioral Reviews

• Publication date

  2026-03-01

• Fields of study

  Biology, Medicine

• Identifiers
  DOI 10.1016/j.neubiorev.2026.106623PMID 41794200
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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