Predicting Montreal Cognitive Assessment Scores From Measures of Speech and Language.
Predicting Montreal Cognitive Assessment Scores From Measures of Speech and Language.
复制标题
根据言语和语言测量预测蒙特利尔认知评估分数。
DOI：
10.1044/2020_jslhr-19-00183
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
M. McAuliffe
中科院分区：
文献类型：
--
作者：
A. Wisler;Annalise R Fletcher;M. McAuliffe
目的：本研究考察了自发言语的测量值与参与者在蒙特利尔认知评估中的得分之间的关系。方法521名年龄在64 ~ 97岁之间的参与者完成了认知评估，并被要求描述一个早期的童年记忆。从得到的语音样本中提取了一系列声学和语言度量。最小绝对收缩和选择算子方法被用来模拟声学、词汇和人口统计信息与参与者认知评估得分之间的关系。结果采用协方差检验统计量，确定了四个重要变量，这四个变量共同解释了被试认知得分16.52%的方差。结论通过自发产生的语音样本准确预测认知的程度有限。在词汇变化的具体测量、参与者的说话速度和他们在蒙特利尔认知评估中的得分之间发现了统计上显著的关系。
Purpose This study examined the relationship between measurements derived from spontaneous speech and participants' scores on the Montreal Cognitive Assessment. Method Participants (N = 521) aged between 64 and 97 years completed the cognitive assessment and were prompted to describe an early childhood memory. A range of acoustic and linguistic measures was extracted from the resulting speech sample. A least absolute shrinkage and selection operator approach was used to model the relationship between acoustic, lexical, and demographic information and participants' scores on the cognitive assessment. Results Using the covariance test statistic, four important variables were identified, which, together, explained 16.52% of the variance in participants' cognitive scores. Conclusions The degree to which cognition can be accurately predicted through spontaneously produced speech samples is limited. Statistically significant relationships were found between specific measurements of lexical variation, participants' speaking rate, and their scores on the Montreal Cognitive Assessment.
影响因子：
4.5
作者：
Lockhart R;Taylor J;Tibshirani RJ;Tibshirani R
通讯作者：
Tibshirani R
影响因子：
4
作者：
Fraser, Kathleen C.;Meltzer, Jed A.;Rudzicz, Frank
通讯作者：
Rudzicz, Frank
影响因子：
1.7
作者：
Reilly, Jamie;Rodriguez, Amy D.;Lamy, Martine;Neils-Strunjas, Jean
通讯作者：
Neils-Strunjas, Jean