Disorders of the Nervous System<\/p>\n
Author:<\/strong> Ivan Caro | Email:<\/strong> ivan.caro.strokes@gmail.com<\/p>\n Ivan Caro 1\u00b0<\/sup>, Gonzalo P\u00e9rez 1\u00b0<\/sup>, Joaqu\u00edn Ponferrada 1\u00b0<\/sup>, Franco Ferrante 1\u00b0<\/sup>, Joaqu\u00edn Vald\u00e9s 3\u00b0<\/sup>, Joaqu\u00edn Migeot 4\u00b0<\/sup>, Alejandro Sosa Welford 1\u00b0<\/sup>, Agust\u00edn Iba\u00f1ez 1\u00b0<\/sup>, Andrea Slachevsky 1\u00b0<\/sup>, Adolfo Garc\u00eda 1\u00b0<\/sup><\/p>\n 1\u00b0 Cognitive Neuroscience Center (CNC), Universidad de San Andr\u00e9s, Buenos Aires, Argentina Detecting early markers of neurocognitive decline is vital in brain aging research. Recent works show that automated analysis of timing and word property patterns in verbal fluency tasks can reveal robust markers of Alzheimer\u0092s disease. Here we examine whether these approaches can boost the detection of mild cognitive impairment (MCI). Fifty-two MCI patients and 54 healthy controls performed phonemic and semantic fluency tasks. Automated tools were used to extract timing (e.g., articulation rate) and word property (e.g., frequency, granularity) features from participants\u0092 responses. These features were analyzed via a generalized linear model (GLM) and machine learning tools, compared with standard cognitive measures, and used for brain atrophy prediction. A GLM showed that word frequency, granularity, phonemic length, and imageability were significantly altered in MCI subjects, with no significant differences for timing measures. Machine learning analysis yielded robust classification (AUC = 0.77 \u00b1 0.05), outperforming classification based on standard cognitive tasks. MCI participants showed atrophy of the left temporal pole, and their frequency and granularity patterns correlated with the volume of frontal and temporal regions, respectively. These results suggest that automated word property analysis in verbal fluency tasks can reveal robust markers of MCI, highlighting the utility of fine-grained language screenings to better characterize brain (dys)function in the elderly.<\/p>\n","protected":false},"excerpt":{"rendered":" Author: Caro Ivan | email: ivan.caro.strokes@gmail.com | Disorders of the Nervous System<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[22],"class_list":["post-1314","post","type-post","status-publish","format-standard","hentry","category-session-1","tag-disorders-of-the-nervous-system"],"_links":{"self":[{"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/posts\/1314","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/comments?post=1314"}],"version-history":[{"count":3,"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/posts\/1314\/revisions"}],"predecessor-version":[{"id":1798,"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/posts\/1314\/revisions\/1798"}],"wp:attachment":[{"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/media?parent=1314"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/categories?post=1314"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/csan2023.saneurociencias.org.ar\/index.php\/wp-json\/wp\/v2\/tags?post=1314"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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\n2\u00b0 National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
\n3\u00b0 Department of Psychiatry, School of Medicine, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile
\n4\u00b0 Latin American Brain Health (BrainLat) Institute, Universidad Adolfo Ib\u00e1\u00f1ez, Santiago, Chile<\/p>\n