{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T11:38:52Z","timestamp":1788349132132,"version":"build-2803163510"},"reference-count":50,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2018,10,30]],"date-time":"2018-10-30T00:00:00Z","timestamp":1540857600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Epilepsia"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      The European Union\u2013funded E\u2010\n                      <jats:styled-content style=\"fixed-case\">PILEPSY<\/jats:styled-content>\n                      project was launched to develop guidelines and recommendations for epilepsy surgery. In this systematic review, we aimed to assess the diagnostic accuracy of functional magnetic resonance imaging (fMRI), Wada test, magnetoencephalography (MEG), and functional transcranial Doppler sonography (fTCD) for memory and language decline after surgery.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The literature search was conducted using PubMed, Embase, and\n                      <jats:styled-content style=\"fixed-case\">CENTRAL<\/jats:styled-content>\n                      . The diagnostic accuracy was expressed in terms of sensitivity and specificity for postoperative language or memory decline, as determined by pre\u2010 and postoperative neuropsychological assessments. If two or more estimates of sensitivity or specificity were extracted from a study, two meta\u2010analyses were conducted, using the maximum (\u201cbest case\u201d) and the minimum (\u201cworst case\u201d) of the extracted estimates, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Twenty\u2010eight papers were eligible for data extraction and further analysis. All tests for heterogeneity were highly significant, indicating large between\u2010study variability (\n                      <jats:italic>P\u00a0<\/jats:italic>\n                      &lt;\n                      <jats:italic>\u00a0<\/jats:italic>\n                      0.001). For memory outcomes, meta\u2010analyses were conducted for\n                      <jats:styled-content style=\"fixed-case\">Wada<\/jats:styled-content>\n                      tests (n\u00a0=\u00a017) using both memory and language laterality quotients. In the best case, meta\u2010analyses yielded a sensitivity estimate of 0.79 (95% confidence interval [\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      ] = 0.67\u20100.92) and a specificity estimate of 0.65 (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 0.47\u20100.83). For the worst case, meta\u2010analyses yielded a sensitivity estimate of 0.65 (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 0.48\u20100.82) and a specificity estimate of 0.46 (95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 0.28\u20100.65). The overall quality of evidence, which was assessed using Grading of Recommendations Assessment, Development, and Evaluation methodology, was rated as very low. Meta\u2010analyses concerning diagnostic accuracy of\n                      <jats:styled-content style=\"fixed-case\">fMRI<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">fTCD<\/jats:styled-content>\n                      , and\n                      <jats:styled-content style=\"fixed-case\">MEG<\/jats:styled-content>\n                      were not feasible due to small numbers of studies (\n                      <jats:styled-content style=\"fixed-case\">fMRI<\/jats:styled-content>\n                      , n\u00a0=\u00a04;\n                      <jats:styled-content style=\"fixed-case\">fTCD<\/jats:styled-content>\n                      , n\u00a0=\u00a01;\n                      <jats:styled-content style=\"fixed-case\">MEG<\/jats:styled-content>\n                      , n\u00a0=\u00a00). This also applied to studies concerning language outcomes (\n                      <jats:styled-content style=\"fixed-case\">Wada<\/jats:styled-content>\n                      test, n\u00a0=\u00a06;\n                      <jats:styled-content style=\"fixed-case\">fMRI<\/jats:styled-content>\n                      , n\u00a0=\u00a02;\n                      <jats:styled-content style=\"fixed-case\">fTCD<\/jats:styled-content>\n                      , n\u00a0=\u00a01; MEG, n\u00a0=\u00a00).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance<\/jats:title>\n                    <jats:p>\n                      Meta\u2010analyses could only be conducted in a few subgroups for the\n                      <jats:styled-content style=\"fixed-case\">Wada<\/jats:styled-content>\n                      test with low\u2010quality evidence. Thus, more evidence from high\u2010quality studies and improved data reporting are required. Moreover, the large between\u2010study heterogeneity underlines the necessity for more homogeneous and thus comparable studies in future research.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/epi.14588","type":"journal-article","created":{"date-parts":[[2018,10,30]],"date-time":"2018-10-30T07:34:29Z","timestamp":1540884869000},"page":"2305-2317","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Diagnostic accuracy of functional magnetic resonance imaging,\n                    <scp>Wada<\/scp>\n                    test, magnetoencephalography, and functional transcranial Doppler sonography for memory and language outcome after epilepsy surgery: A systematic review"],"prefix":"10.1111","volume":"59","author":[{"given":"Elisabeth","family":"Schmid","sequence":"first","affiliation":[{"name":"Department of Neurology Christian Doppler Medical Center Paracelsus Medical University 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Salzburg Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8282-1034","authenticated-orcid":false,"given":"Georg","family":"Zimmermann","sequence":"additional","affiliation":[{"name":"Department of Neurology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria"},{"name":"Spinal Cord Injury and Tissue Regeneration Center Salzburg Salzburg Austria"},{"name":"Department of Mathematics Paris Lodron University of Salzburg Salzburg Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margarita","family":"Kirschner","sequence":"additional","affiliation":[{"name":"Department of Neurology Christian Doppler Medical Center Paracelsus Medical University Salzburg Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9213-1355","authenticated-orcid":false,"given":"Teia","family":"Kobulashvili","sequence":"additional","affiliation":[{"name":"Department 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