Lingo: an automated, web-based deep phenotyping platform for language ability.

Autor:	Casten LG; Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA.; Department of Psychiatry, University of Iowa, Iowa City, IA., Koomar T; Department of Psychiatry, University of Iowa, Iowa City, IA., Elsadany M; Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA.; Department of Psychiatry, University of Iowa, Iowa City, IA., McKone C; Department of Psychiatry, University of Iowa, Iowa City, IA., Tysseling B; Department of Psychiatry, University of Iowa, Iowa City, IA., Sasidharan M; Department of Psychiatry, University of Iowa, Iowa City, IA., Tomblin JB; Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA., Michaelson JJ; Department of Psychiatry, University of Iowa, Iowa City, IA.; Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA.; Iowa Neuroscience Institute, University of Iowa, Iowa City, IA.; Hawkeye Intellectual and Developmental Disabilities Research Center (Hawk-IDDRC), University of Iowa, Iowa City, IA.
Jazyk:	angličtina
Zdroj:	MedRxiv : the preprint server for health sciences [medRxiv] 2024 Mar 29. Date of Electronic Publication: 2024 Mar 29.
DOI:	10.1101/2024.03.29.24305034
Abstrakt:	Background: Language and the ability to communicate effectively are key factors in mental health and well-being. Despite this critical importance, research on language is limited by the lack of a scalable phenotyping toolkit. Methods: Here, we describe and showcase Lingo - a flexible online battery of language and nonverbal reasoning skills based on seven widely used tasks (COWAT, picture narration, vocal rhythm entrainment, rapid automatized naming, following directions, sentence repetition, and nonverbal reasoning). The current version of Lingo takes approximately 30 minutes to complete, is entirely open source, and allows for a wide variety of performance metrics to be extracted. We asked > 1,300 individuals from multiple samples to complete Lingo, then investigated the validity and utility of the resulting data. Results: We conducted an exploratory factor analysis across 14 features derived from the seven assessments, identifying five factors. Four of the five factors showed acceptable test-retest reliability (Pearson's R > 0.7). Factor 2 showed the highest reliability (Pearson's R = 0.95) and loaded primarily on sentence repetition task performance. We validated Lingo with objective measures of language ability by comparing performance to gold-standard assessments: CELF-5 and the VABS-3. Factor 2 was significantly associated with the CELF-5 "core language ability" scale (Pearson's R = 0.77, p-value < 0.05) and the VABS-3 "communication" scale (Pearson's R = 0.74, p-value < 0.05). Factor 2 was positively associated with phenotypic and genetic measures of socieconomic status. Interestingly, we found the parents of children with language impairments had lower Factor 2 scores (p-value < 0.01). Finally, we found Lingo factor scores were significantly predictive of numerous psychiatric and neurodevelopmental conditions. Conclusions: Together, these analyses support Lingo as a powerful platform for scalable deep phenotyping of language and other cognitive abilities. Additionally, exploratory analyses provide supporting evidence for the heritability of language ability and the complex relationship between mental health and language. Competing Interests: Conflicts of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Databáze:	MEDLINE
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