{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T04:00:08Z","timestamp":1768017608545,"version":"3.49.0"},"posted":{"date-parts":[[2026,1,9]]},"group-title":"Neuroscience","reference-count":0,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,1,9]]},"abstract":"<jats:p>Functional MRI-based graph theory has provided profound insights into the brain\u2032s functional organization, yet the neuroenergetic meaning of widely used graph-theoretical metrics remains poorly understood. Although resting-state research suggests a positive coupling between network topology and glucose metabolism, it remains unclear whether this relationship reflects a general principle of brain organization or a state-specific phenomenon. Here, we test the neuroenergetic interpretability of nodal graph-theoretical metrics by linking complex network topology to cerebral glucose consumption across diverse brain states. Leveraging simultaneous functional PET-MRI, we directly compare state-dependent fluctuations in glucose consumption and network topology during sensory, cognitive, and arousal conditions. We further assess metabolic-topological couplings in disease through a meta-analysis of resting-state FDG-PET and fMRI studies involving Alzheimer\u2032s disease, Parkinson\u2032s disease, major depressive disorder, and schizophrenia. Our results show that nodal graph-theoretical metrics exhibit state- and network-dependent metabolic associations, with coupling patterns diverging across experimental and disease contexts. Notably, frontoparietal and attentional networks show more conserved metabolic\u2013topological coupling than other large-scale networks across states. These findings underscore a dynamic, complex interplay between metabolic demand and complex network organization, highlighting the need for a nuanced interpretation of the energetic underpinnings of nodal graph-theoretical metrics in health and disease.<\/jats:p>","DOI":"10.64898\/2026.01.08.694967","type":"posted-content","created":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T21:05:12Z","timestamp":1767992712000},"source":"Crossref","is-referenced-by-count":0,"title":["Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0629-0841","authenticated-orcid":false,"given":"Shirley","family":"Feng","sequence":"first","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7655-1150","authenticated-orcid":false,"given":"Sean E","family":"Coursey","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7107-1891","authenticated-orcid":false,"given":"Sara A","family":"Nolin","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0271-6304","authenticated-orcid":false,"given":"Nicole R","family":"Zurcher","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1425-8489","authenticated-orcid":false,"given":"Hsiao-Ying","family":"Wey","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1348-1179","authenticated-orcid":false,"given":"Jonathan R","family":"Polimeni","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital, Harvard Medical School, and Massachusetts Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marjorie","family":"Villien","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4772-0526","authenticated-orcid":false,"given":"Anisha","family":"Bhanot","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8576-0839","authenticated-orcid":false,"given":"Bruce R","family":"Rosen","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital, Harvard Medical School, and Massachusetts Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9394-7708","authenticated-orcid":false,"given":"Jacob M","family":"Hooker","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3686-2983","authenticated-orcid":false,"given":"Jingyuan E","family":"Chen","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School;"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"54368","container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.64898\/2026.01.08.694967","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T21:05:12Z","timestamp":1767992712000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.64898\/2026.01.08.694967"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.64898\/2026.01.08.694967","relation":{},"subject":[],"published":{"date-parts":[[2026,1,9]]},"subtype":"preprint"}}