{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T14:46:29Z","timestamp":1793285189570,"version":"4.5.0"},"reference-count":49,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100002428","name":"austrian science fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002428","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001821","name":"Vienna Science and Technology Fund","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001821","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Austrian Academy of Sciences at the Department of Psychiatry and Psychotherapy"},{"DOI":"10.13039\/501100005788","name":"medizinische universit\u00e4t wien","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005788","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:p>\n                    Functional PET (fPET) identifies stimulation-specific changes of physiological processes, individual molecular connectivity and group-level molecular covariance. Since there is currently no consistent analysis approach available for these techniques, we present a toolbox for unified fPET assessment. The toolbox supports analysis of data obtained with a variety of radiotracers, scanners, experimental protocols, cognitive tasks and species. It includes general linear model (GLM)-based assessment of task-specific effects, percent signal change and absolute quantification, and data-driven independent component analysis (ICA). It allows computation of molecular connectivity via temporal correlations of PET signals and molecular covariance as between-subject covariance using static images. Toolbox performance was evaluated by comparison to previous results obtained using established protocols, demonstrating strong agreement (\n                    <jats:italic toggle=\"yes\">r<\/jats:italic>\n                    \u2009=\u20090.91\u20130.99). Stimulation-induced changes in metabolism ([\n                    <jats:sup>18<\/jats:sup>\n                    F]FDG) and neurotransmitter dynamics (6-[\n                    <jats:sup>18<\/jats:sup>\n                    F]FDOPA, [\n                    <jats:sup>11<\/jats:sup>\n                    C]AMT) were detected across different cognitive tasks. Molecular connectivity demonstrated metabolic interactions between networks, whereas group-level covariance highlighted interhemispheric relationships. These results underscore the toolbox\u2019s flexibility in capturing dynamic molecular processes. The toolbox offers a comprehensive, reproducible, user-friendly approach for analyzing fPET data across various experimental settings. This facilitates sharing of analyses pipelines and comparison across centres to advance the study of brain metabolism and neurotransmitter dynamics in health and disease.\n                  <\/jats:p>","DOI":"10.1177\/0271678x251370831","type":"journal-article","created":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T09:43:46Z","timestamp":1757324626000},"page":"558-568","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["A unified approach for identifying PET-based neuronal activation and molecular connectivity with the functional PET toolbox"],"prefix":"10.1177","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9727-7580","authenticated-orcid":false,"given":"Andreas","family":"Hahn","sequence":"first","affiliation":[{"name":"Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria"},{"name":"Comprehensive Center for Clinical Neurosciences and Mental 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