{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:13:30Z","timestamp":1772118810564,"version":"3.50.1"},"reference-count":47,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Neuroscience Research"],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Seizures are a frequent symptom of unruptured brain arteriovenous malformations (bAVMs). However, the brain regions responsible for these seizures remain unclear. To identify the brain regions causally involved in bAVM\u2010related seizures, we retrospectively reviewed 220 patients with unruptured bAVMs. Using voxel\u2010based lesion\u2010symptom mapping (VLSM) analyses, we tested whether individual brain regions were associated with unruptured bAVM\u2010related seizures. The result revealed that unruptured bAVMs causing seizures are anatomically heterogeneous at the voxel level. Subsequently, lesion network mapping (LNM) analyses was performed to determine whether bAVMs causing seizures belonged to a distributed brain network. LNM analyses indicated that these lesions were located in a functional network characterized by connectivity to the left caudate and precuneus. Moreover, the discrimination performance of the identified seizure network was evaluated in discovery set by calculating the individualized network damage score and was tested in validation set. Based on the calculated network damage scores, patients were divided into low\u2010, medium\u2010, and high\u2010risk groups. The prevalence of seizures significantly differed among the three risk categories in both discovery (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0=\u00a0.003) and validation set (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0=\u00a0.004). Finally, we calculated the percentage of voxels in the canonical resting\u2010state networks that overlapped with the seizure\u2010susceptible brain regions to investigate the involvement of resting\u2010state networks. With an involvement percentage over 50%, the frontoparietal control (82.9%), limbic function (76.7%), and default mode network (69.3%) were considered to be impacted in bAVM\u2010related seizures. Our study identified the seizure\u2010susceptible brain regions for unruptured bAVMs, which could be a plausible neuroimaging biomarker in predicting possible seizures.\n                  <\/jats:p>","DOI":"10.1002\/jnr.25142","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T01:07:55Z","timestamp":1667869675000},"page":"245-255","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Unruptured brain arteriovenous malformations causing seizures localize to one common brain network"],"prefix":"10.1002","volume":"101","author":[{"given":"Shao\u2010Zhi","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, Beijing Tiantan Hospital Capital Medical University  Beijing China"},{"name":"China National Clinical Research Center for Neurological Diseases  Beijing 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