{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:37:01Z","timestamp":1789605421225,"version":"build-2803163510"},"reference-count":62,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T00:00:00Z","timestamp":1766707200000},"content-version":"vor","delay-in-days":25,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["82225050"],"award-info":[{"award-number":["82225050"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81503664"],"award-info":[{"award-number":["81503664"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81590951"],"award-info":[{"award-number":["81590951"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82205285"],"award-info":[{"award-number":["82205285"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Provincial Science and Technology Support Program","doi-asserted-by":"publisher","award":["22ZDYF1034"],"award-info":[{"award-number":["22ZDYF1034"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["CNS Neurosci Ther"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To identify the functional brain connectivity patterns that were correlated with headache and mental conditions in migraineurs and then to elucidate their neurotransmitter basis and explore the potential clinical implications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Eighty patients with migraine without aura (MwoA) and 94 healthy controls (HCs) were included. Firstly, we employed partial least\u2013squares correlation (PLSC) to identify a set of resting\u2013state functional connectivity (RSFC) that was co\u2013related with headache symptoms and mental conditions in MwoA patients. Then, we investigated the specific neurotransmitter basis underlying headache\u2013mental disorders\u2010related RSFC patterns. Finally, we explored the potentials of these RSFC patterns in discriminating patients from HCs, interpreting patient symptoms, stratifying patients into subgroups, and predicting treatment outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The PLSC analysis revealed one robust latent component linking RSFC between the subcortical nuclei (in particular the thalamus and basal ganglia) and the occipital\/temporal cortex to the headache\u2013mental conditions in MwoA patients. These RSFC patterns were spatially correlated with the distribution of several neurotransmitters including 5HT1a, 5HT2a, and mGluR5 receptors. The third part of the analysis indicated that the RSFC patterns could discriminate MwoA patients from HCs with an accuracy of 0.793, differentiate patients into two subtypes, and to some extent predict the efficacy of acupuncture treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This was the first \u201cdoubly\u201d multivariate analysis identifying functional brain connectivity patterns underlying headache\u2013mental disorder comorbidity in migraineurs. These findings reveal a neurobiological substrate for migraine\u2013mental disorder comorbidity and highlight the potential of these connectivity patterns as biomarkers for diagnosis and treatment prediction.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cns.70710","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T08:29:09Z","timestamp":1766737749000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Functional Brain Connectivity Patterns of Headache\u2013Mental Disorder Comorbidity in Patients With Migraine"],"prefix":"10.1002","volume":"31","author":[{"given":"Tao","family":"Yin","sequence":"first","affiliation":[{"name":"Acupuncture and Tuina School Chengdu University of Traditional Chinese Medicine  Chengdu Sichuan China"},{"name":"Key Laboratory of Acupuncture for Senile Disease (Chengdu University of TCM) Ministry of Education  Chengdu Sichuan 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