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Finds metabolic and immune factors influence consciousness, suggesting new treatment pathways.
Conscious brain states require both sufficient metabolic support and preserved large-scale neural integration, yet cerebral glucose metabolism is rarely treated as a dynamically regulated organism-level variable. Behavioural responsiveness is an unreliable proxy for consciousness when motor output is constrained, necessitating intrinsic measures of brain function. The perturbational complexity index (PCI) provides such a measure, exhibiting validated threshold behaviour (PCI* ≈ 0.31) that distinguishes conscious from unconscious states across sleep, anaesthesia, and disorders of consciousness.We propose that cortical glucose metabolism, quantified using ¹⁸F-FDG-PET, is not a fixed brain-intrinsic capacity but a controlled variable embedded within organism-level endocrine, immune, autonomic, and gut-related regulatory processes. Across independent cohorts, higher insulin resistance (HOMA-IR) is associated with reduced global and regional cerebral glucose metabolism (β ≈ −0.2 to −0.3). Immune activation redistributes rather than uniformly suppresses regional FDG signal, while cytokine-driven astrocytic glucose uptake may partially decouple FDG measures from neuronal metabolic support for large-scale integration. Vagus nerve stimulation produces regionally specific metabolic reorganisation (~10–14% FDG changes in limbic circuits) alongside dose-dependent systemic glucose effects. Microbiome-targeted interventions alter peripheral insulin sensitivity and central insulin signalling, although direct FDG-PET evidence linking gut interventions to cortical metabolism remains limited and indirect.Psychiatric cohorts further demonstrate structured variation within consciousness-compatible regimes. Schizophrenia exhibits reduced PCI without crossing the consciousness threshold, major depressive disorder shows cortico-limbic metabolic redistribution, and sub-anaesthetic ketamine increases spontaneous signal diversity while leaving evoked PCI unchanged, demonstrating that spontaneous complexity measures and perturbational integration are not interchangeable indices.Together, these findings motivate a testable metabolic–integrative state space in which sufficient energetic support and preserved large-scale integration jointly constrain consciousness-compatible regimes. The framework generates explicit falsifiable predictions: metabolic restoration interventions should shift PCI toward the consciousness-associated regime; immune perturbation should modulate PCI in proportion to network disruption rather than bulk FDG change; and spontaneous complexity measures should dissociate from FDG-PET across perturbations. For example, reproducible FDG increases without corresponding PCI change would directly challenge the proposed coupling. Direct evaluation requires prospective within-subject multimodal studies combining FDG-PET and TMS–EEG.
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Shivashanmugam et al. (2026) studied this question.
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