{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T23:27:04Z","timestamp":1791674824669,"version":"4.3.4"},"reference-count":49,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:00:00Z","timestamp":1723075200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007047","name":"Norway Grants","doi-asserted-by":"publisher","award":["NOR\/SGS\/BIPOLAR\/0239\/2020\u201000"],"award-info":[{"award-number":["NOR\/SGS\/BIPOLAR\/0239\/2020\u201000"]}],"id":[{"id":"10.13039\/501100007047","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Psychiatr Scand"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Voice features could be a sensitive marker of affective state in bipolar disorder (BD). Smartphone apps offer an excellent opportunity to collect voice data in the natural setting and become a useful tool in phase prediction in BD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims of the Study<\/jats:title>\n                    <jats:p>\n                      We investigate the relations between the symptoms of BD, evaluated by psychiatrists, and patients' voice characteristics. A smartphone app extracted acoustic parameters from the daily phone calls of\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200951 patients. We show how the prosodic, spectral, and voice quality features correlate with clinically assessed affective states and explore their usefulness in predicting the BD phase.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A smartphone app (BDmon) was developed to collect the voice signal and extract its physical features. BD patients used the application on average for 208\u2009days. Psychiatrists assessed the severity of BD symptoms using the Hamilton depression rating scale \u221217 and the Young Mania rating scale. We analyze the relations between acoustic features of speech and patients' mental states using linear generalized mixed\u2010effect models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The prosodic, spectral, and voice quality parameters, are valid markers in assessing the severity of manic and depressive symptoms. The accuracy of the predictive generalized mixed\u2010effect model is 70.9%\u201371.4%. Significant differences in the effect sizes and directions are observed between female and male subgroups. The greater the severity of mania in males, the louder (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20091.6) and higher the tone of voice (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.71), more clearly (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20091.35), and more sharply they speak (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.95), and their conversations are longer (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20091.64). For females, the observations are either exactly the opposite\u2014the greater the severity of mania, the quieter (\n                      <jats:italic>\u03b2\u2009=<\/jats:italic>\n                      \u2009\u22120.27) and lower the tone of voice (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.21) and less clearly (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.25) they speak \u2014 or no correlations are found (length of speech). On the other hand, the greater the severity of bipolar depression in males, the quieter (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22121.07) and less clearly they speak (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22121.00). In females, no distinct correlations between the severity of depressive symptoms and the change in voice parameters are found.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Speech analysis provides physiological markers of affective symptoms in BD and acoustic features extracted from speech are effective in predicting BD phases. This could personalize monitoring and care for BD patients, helping to decide whether a specialist should be consulted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/acps.13735","type":"journal-article","created":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T02:46:25Z","timestamp":1723171585000},"page":"358-374","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Acoustic features from speech as markers of depressive and manic symptoms in bipolar disorder: A prospective study"],"prefix":"10.1111","volume":"151","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0422-9366","authenticated-orcid":false,"given":"Katarzyna","family":"Kaczmarek\u2010Majer","sequence":"first","affiliation":[{"name":"Department of Stochastic Methods Systems Research Institute Polish Academy of Sciences  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monika","family":"Dominiak","sequence":"additional","affiliation":[{"name":"Department of Pharmacology and Physiology of the Nervous System Institute of Psychiatry and Neurology  Warsaw Poland"},{"name":"Section of Biological Psychiatry Polish Psychiatric Association  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna Z.","family":"Antosik","sequence":"additional","affiliation":[{"name":"Section of Biological Psychiatry Polish Psychiatric Association  Warsaw Poland"},{"name":"Department of Psychiatry, Faculty of Medicine Collegium Medicum, Cardinal Wyszynski University in Warsaw  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olgierd","family":"Hryniewicz","sequence":"additional","affiliation":[{"name":"Department of Stochastic Methods Systems Research Institute Polish Academy of Sciences  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olga","family":"Kami\u0144ska","sequence":"additional","affiliation":[{"name":"Department of Stochastic Methods Systems Research Institute Polish Academy of Sciences  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karol","family":"Opara","sequence":"additional","affiliation":[{"name":"Department of Stochastic Methods Systems Research Institute Polish Academy of Sciences  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Owsi\u0144ski","sequence":"additional","affiliation":[{"name":"Department of Stochastic Methods Systems Research Institute Polish Academy of Sciences  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weronika","family":"Radziszewska","sequence":"additional","affiliation":[{"name":"Department of Stochastic Methods Systems Research Institute Polish Academy of Sciences  Warsaw Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ma\u0142gorzata","family":"Sochacka","sequence":"additional","affiliation":[{"name":"Britenet Med Sp. z o.o.  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