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Recent research focusing on connected speech has uncovered various features strongly correlated with MCI due to AD and related dementias. Despite these advancements, the impact of early cognitive decline on articulatory precision has not been thoroughly investigated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study introduced the phoneme log-likelihood ratio (PLLR) to assess the articulatory precision of speakers across different cognitive status levels and compared its effectiveness to existing well-studied acoustic features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The study utilized speech recordings from a picture description task, which included data from 324 cognitively unimpaired participants with low amyloid-\u03b2 burden (CU, A\u03b2(\n                      <jats:inline-formula>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                          <mml:mo>\u2212<\/mml:mo>\n                        <\/mml:math>\n                      <\/jats:inline-formula>\n                      )), 47 cognitively unimpaired participants with high amyloid-\u03b2 burden (CU, A\u03b2(\n                      <jats:inline-formula>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                          <mml:mo>+<\/mml:mo>\n                        <\/mml:math>\n                      <\/jats:inline-formula>\n                      )), 69 participants with MCI, and 20 participants with dementia. Nine acoustic features were extracted from the speech recordings, covering three categories: speech fluency, speech pace, and articulatory precision. Welch\u2019s\n                      <jats:inline-formula>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                          <mml:mi>t<\/mml:mi>\n                        <\/mml:math>\n                      <\/jats:inline-formula>\n                      -test and Hedge\u2019s\n                      <jats:inline-formula>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                          <mml:mi>g<\/mml:mi>\n                        <\/mml:math>\n                      <\/jats:inline-formula>\n                      were adopted to assess their discriminative ability.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A reduction in speech fluency and pace was observed among participants in the MCI and dementia groups. The PLLR shows large effect sizes in distinguishing between cognitively unimpaired participants with low A\u03b2 burden and those diagnosed with MCI or dementia. Additionally, the test-retest reliability experiment indicated moderate repeatability of the features under study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The study reveals PLLR as a sensitive indicator capable of detecting subtle articulatory variations across groups, while also providing further support for the association between reduced articulatory precision and early cognitive decline.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877241300149","type":"journal-article","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T01:44:33Z","timestamp":1733449473000},"page":"476-486","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Articulatory precision from connected speech as a marker of cognitive decline in Alzheimer\u2019s disease risk-enriched cohorts"],"prefix":"10.1177","volume":"103","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6554-9438","authenticated-orcid":false,"given":"Lingfeng","family":"Xu","sequence":"first","affiliation":[{"name":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kewei","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Health Solutions, Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kimberly D","family":"Mueller","sequence":"additional","affiliation":[{"name":"Department of Communication Sciences and Disorders, The University of Wisconsin\u2013Madison, Madison, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie","family":"Liss","sequence":"additional","affiliation":[{"name":"College of Health Solutions, Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Visar","family":"Berisha","sequence":"additional","affiliation":[{"name":"College of Health Solutions, School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,12,5]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2796.2004.01388.x"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1186\/alzrt198"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.58.3.397"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181c34b47"},{"key":"e_1_3_4_6_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181eccfa2"},{"key":"e_1_3_4_7_2","doi-asserted-by":"publisher","DOI":"10.2196\/42886"},{"key":"e_1_3_4_8_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2212948"},{"key":"e_1_3_4_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113213"},{"key":"e_1_3_4_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2014.06.004"},{"key":"e_1_3_4_11_2","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2022-329530"},{"key":"e_1_3_4_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-024-02869-z"},{"key":"e_1_3_4_13_2","doi-asserted-by":"publisher","DOI":"10.1093\/braincomms\/fcad057"},{"key":"e_1_3_4_14_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2005.53221.x"},{"key":"e_1_3_4_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/0022-3956(75)90026-6"},{"key":"e_1_3_4_16_2","doi-asserted-by":"publisher","DOI":"10.1097\/WAD.0000000000000321"},{"key":"e_1_3_4_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmr.2006.11.002"},{"key":"e_1_3_4_18_2","doi-asserted-by":"publisher","DOI":"10.1080\/23279095.2017.1293671"},{"key":"e_1_3_4_19_2","doi-asserted-by":"publisher","DOI":"10.1177\/1533317507304744"},{"key":"e_1_3_4_20_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-019-0084-2"},{"key":"e_1_3_4_21_2","doi-asserted-by":"crossref","unstructured":"Dieffenderfer J Brewer A Noonan MA et al. 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