{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T08:29:09Z","timestamp":1786609749784,"version":"build-2736575974"},"reference-count":44,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T00:00:00Z","timestamp":1769472000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin EEG Neurosci"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Assessment and treatment monitoring in alcohol dependence syndrome often rely on subjective measures, particularly in resource-limited settings. Quantitative electroencephalogram (qEEG) provides an objective alternative, though its role in alcohol use and abstinence remains underexplored in the Indian context.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To study changes in the quantitative electroencephalogram in persons with alcohol dependence syndrome undergoing treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Patients diagnosed with alcohol dependence syndrome as per ICD-11 were recruited. At baseline, the\n                      <jats:italic toggle=\"yes\">Severity of Alcohol Dependence Questionnaire<\/jats:italic>\n                      (SADQ) (mean 22.60\u2009\u00b1\u20094.81) and\n                      <jats:italic toggle=\"yes\">Clinical Institute Withdrawal Assessment for Alcohol\u2013Revised (<\/jats:italic>\n                      CIWA-Ar) (mean 10.98\u2009\u00b1\u20092.45) were administered to assess the severity of dependence and withdrawal symptoms. qEEG was recorded at baseline, following detoxification and at 12 weeks. Detoxification was done using benzodiazepines via a symptom-triggered regimen. Baclofen was offered post-detoxification with regular follow-ups. EEG signals were analysed for changes across standard frequency bands in various scalp regions and in terms of absolute powers.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Sixty patients completed the 12-week follow-up. The sample consisted of all males, with a mean age of 40.85\u2009\u00b1\u20098.30 years. Alpha and gamma powers showed increasing trends, while beta, theta, and delta powers declined across most scalp regions. Absolute power trends were similar, with a statistically significant reduction noted in the delta wave (p-value=.024). No significant correlation was found between severity of dependence and wave powers, except for gamma in the fronto-parietal region (p-value=.01) and beta in the central region (p-value=.021).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>qEEG changes with detoxification and abstinence may serve as an objective indicator for assessing treatment efficacy and abstinence status in alcohol dependence.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15500594261417529","type":"journal-article","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T17:27:23Z","timestamp":1769534843000},"page":"394-403","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantitative Electroencephalogram in Persons with Alcohol Dependence Syndrome: A Pre- and Post-Treatment Findings"],"prefix":"10.1177","volume":"57","author":[{"given":"Srishti","family":"Sharma","sequence":"first","affiliation":[{"name":"Government Medical College and Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ajeet","family":"Sidana","sequence":"additional","affiliation":[{"name":"Government Medical College and Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6325-644X","authenticated-orcid":false,"given":"Shivangi","family":"Mehta","sequence":"additional","affiliation":[{"name":"Government Medical College and Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simranjit","family":"Kaur","sequence":"additional","affiliation":[{"name":"Department of Computer Science Engineering, Thapar Institute of Engineering and Technology, Patiala, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,1,27]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/ijms22115717"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a012195"},{"key":"e_1_3_3_4_2","unstructured":"World Health Organization. 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