{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T16:49:16Z","timestamp":1791910156605,"version":"4.3.4"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T00:00:00Z","timestamp":1784332800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:00Z","timestamp":1791849600000},"content-version":"vor","delay-in-days":87,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Acta Neurochir"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Stereo-electroencephalography (SEEG) is increasingly utilized in surgical epilepsy evaluations, however, more robust preoperative data can aid in localizing and focusing SEEG electrode placement. Automated MRI volumetric analysis in patients with drug-resistant epilepsy may help predict aspects of the seizure network, as confirmed with invasive SEEG analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Pre-operative MRIs of patients undergoing SEEG investigation were analyzed using an automated volumetric platform and compared to age- and sex-matched controls. The patient\u2019s seizure network was parsed into subcomponents based on the SEEG investigation and compared to volumetric data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Nineteen patients were analyzed. On logistic regression, each one standard deviation increase in regional volume increased the odds that a region was part of the irritative zone (OR 1.36, 95% CI\u2009=\u2009[1.08, 1.71],\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.009), though this estimate should be considered exploratory given the non-independence of regions within patients. In patients with temporal lobe epilepsy (15\/19), increased volume was associated with the irritative zone (OR 1.49, CI\u2009=\u2009[1.16,1.93],\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002) and the seizure network overall (OR 1.31, CI\u2009=\u2009[1.04, 1.65],\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.023), while decreased volume was suggestive of non-involvement with the network (OR 0.76, CI\u2009=\u2009[0.60, 0.96],\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.023).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Regions with an increased cortical volume as determined by rapid, automated volumetric analysis were more likely to be part of the seizure network irritative zone. This may represent a novel avenue for a low-cost, non-invasive analysis of patients\u2019 seizure networks. Further work is needed to better elucidate the relationship between cortical volumes and seizure networks and determine the potential of using automated volumetric analysis as a non-invasive tool in the preoperative work-up.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00701-026-06983-4","type":"journal-article","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T05:35:02Z","timestamp":1784352902000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated preoperative volumetric analysis as a marker of the seizure irritative zone"],"prefix":"10.1007","volume":"168","author":[{"given":"Dorian M.","family":"Kusyk","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Jaffee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher","family":"Sanfilippo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trent","family":"Kite","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas","family":"Blaney","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jenna","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy","family":"Quezada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tyson","family":"Tragon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander C.","family":"Whiting","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,18]]},"reference":[{"issue":"10","key":"6983_CR1","doi-asserted-by":"publisher","first-page":"2163","DOI":"10.1111\/epi.16668","volume":"61","author":"JP Andrews","year":"2020","unstructured":"Andrews JP, Ammanuel S, Kleen J, Khambhati AN, Knowlton R, Chang EF (2020) Early seizure spread and epilepsy surgery: a systematic review. 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