{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T21:46:43Z","timestamp":1785793603348,"version":"3.56.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Headache Pain"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cluster headache (CH) is a rare and disabling primary headache disorder characterized by severe unilateral pain and cranial autonomic symptoms. Although its diagnostic criteria are well defined, the conditional relationships among symptoms, reported triggers, and pain locations are not well characterized. Network analysis may provide an exploratory framework for examining these co-occurrence patterns.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To characterize conditional associations among symptoms, reported triggers, and headache regions in patients with CH using Ising model-based network analysis and to evaluate the stability of the estimated edge and centrality patterns.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional analysis was conducted using data from the Iranian National Cluster Headache Registry. Binary variables indicating the presence or absence of symptoms, reported triggers, and headache regions were analyzed. Separate symptom, trigger, and headache-region networks, together with an integrated network, were estimated using EBIC-regularized Ising models (\u03b3\u2009=\u20090.25) in R (v4.4.3). Strength and bridge-strength point estimates were calculated. Nonparametric and case-dropping bootstrap procedures (1,000\u20133,000 iterations) were used to assess edge-weight accuracy and correlation stability (CS); CS coefficients below 0.25 were considered insufficient for robust interpretation of centrality rankings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Data from 321 patients were analyzed. In the symptom network, the largest estimated positive edges included epiphora\u2013runny nose (1.80) and miosis\u2013runny nose (1.05); epiphora and miosis had the highest strength point estimates, but strength centrality did not meet the prespecified stability threshold (CS\u2009=\u20090.206). The trigger network was unstable (edge CS\u2009=\u20090.05; strength CS\u2009=\u20090.00), and trigger edge and centrality rankings were therefore not interpreted. The headache-region network showed stronger stability (edge CS\u2009=\u20090.748; strength CS\u2009=\u20090.361), with a positive neck\u2013occipital association (2.16) and a negative lower-jaw\u2013cheek association (\u22122.31). In the integrated network, edge stability was moderate (CS\u2009=\u20090.439), whereas strength centrality remained below the interpretation threshold (CS\u2009=\u20090.206); bridge-strength estimates, including runny nose (2.17), were treated as exploratory.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Ising network analysis identified conditional co-occurrence patterns among CH features, with the most robust findings arising from the headache-region network. Symptom centrality, trigger-network estimates, and integrated centrality and bridge rankings require cautious interpretation because of limited stability. These cross-sectional findings are hypothesis-generating and support validation in larger and longitudinal datasets; they do not establish causal mechanisms or clinically actionable treatment targets.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s10194-026-02474-0","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T09:28:12Z","timestamp":1785317292000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploratory Ising model network analysis of cluster headache: mapping conditional associations across symptoms, triggers, and pain localization"],"prefix":"10.1186","volume":"27","author":[{"given":"Mansoureh","family":"Togha","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Omid Kohandel","family":"Gargari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fariborz","family":"Khorvash","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsen","family":"Hoseinnezhad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elham","family":"Jafari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arya","family":"Derakhshesh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiva","family":"Rahimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vahid","family":"Shaygannejad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhale","family":"Salami","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahdi","family":"Badiee-Gavarti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza Shokrani","family":"Foroushani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheida","family":"Shaafi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faraidoon","family":"Haghdoost","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,29]]},"reference":[{"issue":"1","key":"2474_CR1","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1111\/j.1526-4610.2011.02028.x","volume":"52","author":"TD Rozen","year":"2012","unstructured":"Rozen TD, Fishman RS (2012 Jan) Cluster headache in the United States of America: demographics, clinical characteristics, triggers, suicidality, and personal burden. 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Ethical approval was obtained from the Ethics Committee of the Neuroscience Institute, Tehran University of Medical Sciences (approval number: IR.TUMS.NI.REC.1401.047). All participants provided written informed consent prior to participation in the study and for the use of their clinical data for research purposes. Participant confidentiality and data privacy were strictly maintained throughout the study.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"196"}}