{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T03:25:51Z","timestamp":1785554751698,"version":"3.56.0"},"reference-count":41,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"vor","delay-in-days":22,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study investigated the correlation between the pulsatility index (PI) of the middle cerebral artery with the total burden of cerebral small vessel disease and cognitive impairment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>Information on patients hospitalized in the Department of Neurology was collected retrospectively. These patients had complete clinical and laboratory data. The middle cerebral artery PI was measured using transcranial Doppler, a Mini\u2010Mental State Examination (MMSE) was used to assess cognitive function, and the total cerebral small vessel disease burden was assessed using magnetic resonance imaging. Patients were grouped according to their scores for total imaging burden of cerebral small vessel disease and cognitive function. Logistic regression analysis assessed the association between the PI, total imaging burden, and cognitive impairment. Spearman analysis was used to evaluate the correlation between the PI and total imaging burden and cognitive impairment, and receiver operating characteristic (ROC) curves were used to determine the predictive value of the PI for cognitive function.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The PI was higher in the cognitive impairment (CI) group than in the no\u2010CI group. Binary logistic regression analysis showed that increased PI was an independent risk factor for CI (OR\u00a0=\u00a01.582; 95% CI: 1.043\u20132.401;\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a0.031) and total imaging burden (OR\u00a0=\u00a01.842; 95% CI: 1.274\u20132.663;\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      =\u00a0.001). Spearman analysis found that the PI correlated negatively with the MMSE score (\n                      <jats:italic>r\u00a0<\/jats:italic>\n                      =\u00a0\u2212.627,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a0.001). ROC curve analysis showed the PI predicted CI with an area under the curve of 0.784. The PI combined with the total imaging burden predicted CI in cerebral small vessel disease with an area under the curve of 0.832.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>An increased PI was associated with CI and a high imaging burden in cerebral small vessel disease patients. The PI combined with the total burden score shows a high predictive value for CI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.3526","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:38:02Z","timestamp":1716511082000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Association of pulsatility index with total burden of cerebral small vessel disease and cognitive impairment"],"prefix":"10.1002","volume":"14","author":[{"given":"Huijuan","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Neurology Jinzhou Medical University  Jinzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liaoyang","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Neurology The Affiliated Lianyungang Hospital of Xuzhou Medical University  Lianyungang 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