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Whole-body metabolic connectivity framework with functional PET

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High-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response

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Benchmarking methods for mapping functional connectivity in the brain

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Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships

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Disrupted coupling between salience network segregation and glucose metabolism is associated with cognitive decline in Alzheimer's disease – A simultaneous resting-state FDG-PET/fMRI study

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The cerebellum and the Mirror Neuron System: A matter of inhibition? From neurophysiological evidence to neuromodulatory implications. A narrative review

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A new framework for metabolic connectivity mapping using bolus [ 18 F]FDG PET and kinetic modeling

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Perception is associated with the brain’s metabolic response to sensory stimulation

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Static versus Functional PET: Making Sense of Metabolic Connectivity

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Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

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Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders

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Integrating and interpreting brain maps

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Mapping covariance in brain FDG uptake to structural connectivity

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Simultaneous EEG-PET-MRI identifies temporally coupled and spatially structured brain dynamics across wakefulness and NREM sleep

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Alteration of the Individual Metabolic Network of the Brain Based on Jensen-Shannon Divergence Similarity Estimation in Elderly Patients With Type 2 Diabetes Mellitus

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The brain’s “dark energy” puzzle: How strongly is glucose metabolism linked to resting-state brain activity?

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Reconfiguration of metabolic connectivity in ageing

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Metabolic connectivity has greater predictive utility for age and cognition than functional connectivity

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Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography

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Brain glucodynamic variability is an essential feature of the metabolism–cognition relationship

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Spatiotemporal topological correspondence between blood oxygenation and glucose metabolism revealed by simultaneous fPET-fMRI in brain’s white matter

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Similarity between structural and proxy estimates of brain connectivity

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Metabolic Brain PET Connectivity

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PET Image Reconstruction With Kernel and Kernel Space Composite Regularizer

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PET ‐ MRI Applications and Future Prospects in Psychiatry

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Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard

Vallini, G., Silvestri, E., Volpi, T., Lee, J. J., Vlassenko, A. G., Goyal, M. S., Cecchin, D., Corbetta, M., & Bertoldo, A. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06956-8 · Cited by 11 · see citing works

Abnormal metabolic connectivity in default mode network of right temporal lobe epilepsy

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A unified approach for identifying PET-based neuronal activation and molecular connectivity with the functional PET toolbox

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Molecular connectivity studies in neurotransmission: a scoping review

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Optimal filtering strategies for task-specific functional PET imaging

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Resting-State FDG-PET Connectivity: Covariance, Ergodicity, and Biomarkers. Response to Commentary by Sala et al.; Static versus Functional PET: Making Sense of Metabolic Connectivity

Jamadar, S. D., & Egan, G. F. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab316 · Cited by 9 · see citing works

Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex

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Diagnostic value of PET imaging in clinically unresponsive patients

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Comparative evaluation of graph construction methods for individual brain metabolic network from FDG-PET images: an ADNI study in healthy subjects

Tuấn, P. M., Horowitz, T., Adel, M., Wojak, J., Trung, N. L., & Guedj, É. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07462-1 · Cited by 6 · see citing works

Functional PET for mapping metabolic dynamics in Parkinson’s disease

Heinecke, V., Machholz, L., Steidel, K., Rüsing, L. M., Thiemig, F. K., Librizzi, D., Beckersjürgen, M., Fuchs, J. C., Luster, M., Timmermann, L., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-28456-x · Cited by 6 · see citing works

Influence of diabetes mellitus on metabolic networks in lung cancer patients: an analysis using dynamic total-body PET/CT imaging

Sun, L., Wu, Y., Sun, T., Li, P., Liang, J., Yu, X., Yang, J., Meng, N., Wang, M., & Chen, C.-L. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07081-w · Cited by 5 · see citing works

On the analysis of functional PET (fPET)-FDG: Baseline mischaracterization can introduce artifactual metabolic (de)activations

Coursey, S. E., Mandeville, J. B., Reed, M. B., Hartung, G. A., Garimella, A. H., Sari, H., Lanzenberger, R. R., Price, J. C., Polimeni, J. R., Greve, D. N., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.110 · Cited by 5 · see citing works

Different Features of a Metabolic Connectivity Map and the Granger Causality Method in Revealing Directed Dopamine Pathways: A Study Based on Integrated PET/MR Imaging

Wang, L., Wei, L., Jin, L. H., Li, Y., Wei, Y., He, W., Shi, L. M., Sun, Q., Li, W., Li, Q., et al. (2022) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7707 · Cited by 5 · see citing works

Brain effective connectome based on fMRI and DTI data: Bayesian causal learning and assessment

Bagheri, A., Dehshiri, M., Bagheri, Y., Akhondi‐Asl, A., & Araabi, B. N. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289406 · Cited by 5 · see citing works

Kernel graph filtering—A new method for dynamic sinogram denoising

Guo, S., Sheng, Y., Chai, L., & Zhang, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260374 · Cited by 5 · see citing works

Metabolic connectivity in ageing.Preprint

Deery, H. A., Liang, E. X., Siddiqui, N. M., Murray, G., Voigt, K., Paolo, R. D., Moran, C., Egan, G. F., & Jamadar, S. D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.16.599247 · Cited by 5 · see citing works

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

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High-temporal resolution metabolic connectivity resolved by component-based noise correction

Reed, M. B., Graf, S., Murgaš, M., Eggerstorfer, B., Milz, C., Silberbauer, L., Falb, P., Briem, E., Mayerweg, A., Schlosser, G., et al. (2026) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x261431043 · Cited by 4 · see citing works

An iterative reconstruction algorithm for unsupervised PET image

Wang, S., Liu, B., Xie, F., & Chai, L. (2024) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ad2882 · Cited by 4 · see citing works

Connectivity based on glucose dynamics reveals exaggerated sensorimotor network coupling on subject-level in Parkinson’s disease

Ruppert, M. C., Heinecke, V., Librizzi, D., Steidel, K., Beckersjürgen, M., Verburg, F. A., Schurrat, T., Luster, M., Müller, H., Timmermann, L., et al. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06796-6 · Cited by 4 · see citing works

Multimodal, multiscale connectivity blueprints of the cerebral cortexPreprint

Hansen, J. Y., Shafiei, G., Voigt, K., Liang, E. X., Cox, S. M. L., Leyton, M., Jamadar, S. D., & Mišić, B. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.02.518906 · Cited by 4 · see citing works

Integrating direct electrical stimulation with brain connectivity predicts lesion-induced language impairment and recovery

Coletta, L., Avesani, P., Zigiotto, L., Venturini, M., Annicchiarico, L., Vavassori, L., Jamadar, S., Liang, E., Hansen, J. Y., Mišić, B., et al. (2025) · Communications Medicine · doi:10.1038/s43856-025-01121-0 · Cited by 3 · see citing works

Brain metabolic-functional (de)coupling from health to glioma dysfunction

Vallini, G., Baron, G., Silvestri, E., Volpi, T., Vlassenko, A. G., Goyal, M. S., Chiuso, A., Cecchin, D., Corbetta, M., & Bertoldo, A. (2025) · Communications Biology · doi:10.1038/s42003-025-09181-7 · Cited by 3 · see citing works

[ 18 F]FDG functional PET revisited: A new perspective on the temporal dynamics of brain glucose metabolism

Hahn, A., Falb, P., Murgaš, M., Klug, S., Reed, M. B., Godbersen, G. M., de León, M. P., Milz, C., Hacker, M., Rujescu, D., et al. (2026) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x261455750 · Cited by 4 · see citing works

Tumors Affect the Metabolic Connectivity of the Human Brain Measured by 18F-FDG PET

Pasquini, L., Jenabi, M., Graham, M. S., Peck, K. K., Schöder, H. M., Holodny, A. I., & Krebs, S. S. (2024) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000005227 · Cited by 3 · see citing works

PET-based brain molecular connectivity in neurodegenerative disease

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PET Image Representation and Reconstruction Based on Graph Filter

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Individual metabolic brain network abnormalities associated with drug-resistant mTLE vary in surgical outcomes

Wang, X., Zhang, P., Lin, D., Zhao, C., Huang, Z., Chen, Z., Li, H., & Xu, S. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1444787 · Cited by 3 · see citing works

Lactate flux dysfunction in patients with bipolar disorder: preliminary insights from ultra-high field 7T MRSI during task and rest

Bertocci, M. A., & Diler, R. S. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1587011 · Cited by 2 · see citing works

Future perspectives of functional connectivity: Advances in data acquisition and analysis

Di, X., Xu, T., & Miao, X. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-19099-5.00020-9 · Cited by 2 · see citing works

Task-evoked brain network architecture captured by the complementary integration of metabolic and functional connectivity

Vallini, G., Reed, M. B., Klug, S., Godbersen, G. M., Bertoldo, A., Lanzenberger, R. R., & Hahn, A. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121854 · Cited by 3 · see citing works

Fragmentation of functional resting state brain networks in a transgenic mouse model of tau pathology: A metabolic connectivity study using [18F]FDG-PET

Endepols, H., Anglada‐Huguet, M., Mandelkow�, E., Neumaier, B., Mandelkow, E., & Drzezga, A. E. (2023) · Experimental Neurology · doi:10.1016/j.expneurol.2023.114632 · Cited by 2 · see citing works

Mitochondria and Cognition: An [18F]BCPP-EF Positron Emission Tomography Study of Mitochondrial Complex I Levels and Brain Activation During Task Switching

Shatalina, E., Whitehurst, T., Onwordi, E. C., Whittington, A., Mansur, A., Arumuham, A., Marques, T. R., Gunn, R. N., Natesan, S., Nour, M. M., et al. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.02.007 · Cited by 2 · see citing works

Effects of MRI protocols on brain FDG uptake in simultaneous PET/MR imaging

Wang, J., Yang, H., Cui, B., Shan, B., & Lu, J. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05703-1 · Cited by 2 · see citing works

Connecting the Dots: Approaching a Standardized Nomenclature for Molecular Connectivity Combining Data and LiteraturePreprint

Reed, M. B., Cocchi, L., Knudsen, G. M., Sander, C. Y. M., Gryglewski, G., Chen, J., Volpi, T., Fisher, P. M., Khattar, N., Silberbauer, L., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.10.593490 · Cited by 2 · see citing works

Synaptome architecture shapes regional dynamics in the mouse brainPreprint

Hansen, J. Y., Luppi, A. I., Qiu, Z., Gini, S., Fulcher, B., Gozzi, A., Grant, S. G. N., & Mišić, B. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.24.634803 · Cited by 2 · see citing works

A Comparative Evaluation of Molecular Connectivity and Covariance ApproachesPreprint

Reed, M. B., Graf, S., Murgaš, M., Eggerstorfer, B., Milz, C., Falb, P., Briem, E., Mayerweg, A., Schlosser, G., Nics, L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.17.694867 · Cited by 2 · see citing works

Single-scan adaptive graph filtering for dynamic PET denoising by exploring intrinsic spatio-temporal structure

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Stress-induced takotsubo syndrome: dynamic changes in regional cerebral metabolism revealed by quantitative PET imaging

Ariza-Carrasco, A., Yoganathan, T., de Leciñana, M. A., Viel, T., Mikaïl, N., Herraiz, J. L., Udias, J. M., Ibáñez, P., Tavitian, B., & Pérez-Liva, M. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121797 · Cited by 1 · see citing works

Synapse types are spatially associated with regional hemodynamics in the mouse brain

Hansen, J. Y., Luppi, A. I., Qiu, Z., Gini, S., Fulcher, B., Gozzi, A., Grant, S. G. N., & Mišić, B. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003637 · Cited by 1 · see citing works

Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens in the ageing brain

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Evaluation of signal enhancement techniques for motion correction for high temporal resolution functional PET

Falb, P., Reed, M. B., Klug, S., Murgaš, M., Godbersen, G. M., Schmidt, C., Nics, L., Hacker, M., Lanzenberger, R. R., & Hahn, A. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122163 · Cited by 1 · see citing works

Metabolic connectivity alterations in amyotrophic lateral sclerosis: Individual network analysis based on Wasserstein distances

Tang, C., Vocht, J. D., Damme, P. V., Laere, K. V., & Koole, M. J. B. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1343 · Cited by 1 · see citing works

Directed information flow across the metabolic network of the human brain

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Reply

Yun, M., Bai, Y., Nie, B., Zhang, X., & Li, X. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.01.039 · Cited by 1 · see citing works

PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space RegularizersPreprint

Guo, S., Sheng, Y., Li, S., Chai, L., & Zhang, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.02813

Different Features of Metabolic Connectivity Map and Granger Causality Method in Revealing Directed Dopamine Pathways: A Pilot Study Based on Integrated PET/MRPreprint

Wang, L., Wei, L., Jin, L. H., Li, Y., Wei, Y., He, W., Shi, L., Sun, Q., Li, W., Li, Q., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-842940/v1

PET Image Reconstruction Using Deep Image Prior And Graph Laplacian Regularization

Hui, C., Sheng, Y., Xiong, D., & Chai, L. (2022) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc55256.2022.10034049

PET image reconstruction based on multi-kernel fusion

YiSheng, D., & Yuxia, S. (2025) · International Conference on Signal Processing Systems (ICSPS) · doi:10.1117/12.3061775

Multimodal Imaging Investigations of Human Brain Function and Plasticity

Moore, M., Katsumi, Y., Iordan, A. D., Dolcos, S. M., & Dolcos, F. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197677131.013.32

Evaluation of Data-based Motion Correction Techniques for High Temporal Resolution Functional PETPreprint

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