التفاصيل البيبلوغرافية
العنوان: |
Automated lexical analysis of story recall in healthy controls |
المؤلفون: |
Ip, Martin Ho Kwan, Cousins, Katheryn A Q, Nevler, Naomi, Liberman, Mark Y, Grossman, Murray, Cho, Sunghye |
المصدر: |
Alzheimer's & Dementia ; volume 19, issue S15 ; ISSN 1552-5260 1552-5279 |
بيانات النشر: |
Wiley |
سنة النشر: |
2023 |
المجموعة: |
Wiley Online Library (Open Access Articles via Crossref) |
الوصف: |
Background Impaired episodic memory is one of the earliest and most prominent symptoms of Alzheimer’s disease (AD). Examining how patients produce words and phrases in story recall tasks is useful for tracking and understanding progression of their disease. Traditional approaches rely on manual assessments of recalled stories which can be limited, time‐consuming, and not applicable in large‐scale studies. Here, we implement an automated, computational approach to measure verbal episodic memory in a digitally recorded story recall task performed by young healthy speakers using natural language processing models. Method We analyzed digitized speech samples of pre‐recorded immediate and delayed Craft Story recall tasks performed by healthy speakers ( n = 67, mean age = 20.31 years, SD = 2.17, 45 (67%) females). All transcripts were transcribed by trained annotators and automatically scored for number of verbatim and paraphrase recall, total recall score ( = verbatim+paraphrase), and semantic distance from the original story (degree of semantic similarity between the original craft story and the recalled story based on the Word2vec module in python). We also calculated total word count and number of unique words, and rated all recalled words for word familiarity, concreteness, and semantic ambiguity based on published norms. Number of pauses and total durations of speech and silent pauses were also measured. Result We found larger semantic distance between successive words in the delayed recall task compared with immediate recall within speaker (p<.001). Delayed recall also elicited lower total recall scores than immediate recall (p = .03). Comparing the effect sizes of semantic distance vs. total recall scores, our model comparison showed a smaller prediction error for semantic distance (AIC = 95.45) than total recall score (AIC = 736.18). In addition, speakers in the delayed recall task performed more paraphrase recall, had higher total word count, number of unique words, more ambiguous words, and ... |
نوع الوثيقة: |
article in journal/newspaper |
اللغة: |
English |
DOI: |
10.1002/alz.079800 |
الاتاحة: |
http://dx.doi.org/10.1002/alz.079800 |
Rights: |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
رقم الانضمام: |
edsbas.206C6B8F |
قاعدة البيانات: |
BASE |