PMID- 32328008
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210215
IS  - 1664-1078 (Print)
IS  - 1664-1078 (Electronic)
IS  - 1664-1078 (Linking)
VI  - 11
DP  - 2020
TI  - Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a 
      Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency.
PG  - 535
LID - 10.3389/fpsyg.2020.00535 [doi]
LID - 535
AB  - Introduction: Clinically relevant information can go uncaptured in the 
      conventional scoring of a verbal fluency test. We hypothesize that characterizing 
      the temporal aspects of the response through a set of time related measures will 
      be useful in distinguishing those with MCI from cognitively intact controls. 
      Methods: Audio recordings of an animal fluency test administered to 70 
      demographically matched older adults (mean age 90.4 years), 28 with mild 
      cognitive impairment (MCI) and 42 cognitively intact (CI) were professionally 
      transcribed and fed into an automatic speech recognition (ASR) system to estimate 
      the start time of each recalled word in the response. Next, we semantically 
      cluster participant generated animal names and through a novel set of time-based 
      measures, we characterize the semantic search strategy of subjects in retrieving 
      words from animal name clusters. This set of time-based features along with 
      standard count-based features (e.g., number of correctly retrieved animal names) 
      were then used in a machine learning algorithm trained for distinguishing those 
      with MCI from CI controls. Results: The combination of both count-based and 
      time-based features, automatically derived from the test response, achieved 77% 
      on AUC-ROC of the support vector machine (SVM) classifier, outperforming the 
      model trained only on the raw test score (AUC, 65%), and well above the chance 
      model (AUC, 50%). Conclusion: This approach supports the value of introducing 
      time-based measures to the assessment of verbal fluency in the context of this 
      generative task differentiating subjects with MCI from those with intact 
      cognition.
CI  - Copyright (c) 2020 Chen, Asgari, Gale, Wild, Dodge and Kaye.
FAU - Chen, Liu
AU  - Chen L
AD  - Center for Spoken Language Understanding, Oregon Health & Science University 
      (OHSU), Portland, OR, United States.
FAU - Asgari, Meysam
AU  - Asgari M
AD  - Center for Spoken Language Understanding, Oregon Health & Science University 
      (OHSU), Portland, OR, United States.
FAU - Gale, Robert
AU  - Gale R
AD  - Center for Spoken Language Understanding, Oregon Health & Science University 
      (OHSU), Portland, OR, United States.
FAU - Wild, Katherine
AU  - Wild K
AD  - Department of Neurology, NIA-Layton Aging and Alzheimer's Disease Center, Oregon 
      Health & Science University (OHSU), Portland, OR, United States.
AD  - Department of Neurology, Oregon Center for Aging & Technology (ORCATECH), Oregon 
      Health & Science University (OHSU), Portland, OR, United States.
FAU - Dodge, Hiroko
AU  - Dodge H
AD  - Department of Neurology, NIA-Layton Aging and Alzheimer's Disease Center, Oregon 
      Health & Science University (OHSU), Portland, OR, United States.
AD  - Department of Neurology, Michigan Alzheimer's Disease Center, University of 
      Michigan, Ann Arbor, MI, United States.
FAU - Kaye, Jeffrey
AU  - Kaye J
AD  - Department of Neurology, NIA-Layton Aging and Alzheimer's Disease Center, Oregon 
      Health & Science University (OHSU), Portland, OR, United States.
AD  - Department of Neurology, Oregon Center for Aging & Technology (ORCATECH), Oregon 
      Health & Science University (OHSU), Portland, OR, United States.
LA  - eng
GR  - U2C AG054397/AG/NIA NIH HHS/United States
GR  - P30 AG008017/AG/NIA NIH HHS/United States
GR  - R01 AG056102/AG/NIA NIH HHS/United States
GR  - R21 AG055749/AG/NIA NIH HHS/United States
GR  - R01 AG033581/AG/NIA NIH HHS/United States
GR  - R01 AG051628/AG/NIA NIH HHS/United States
GR  - P30 AG024978/AG/NIA NIH HHS/United States
GR  - P30 AG066518/AG/NIA NIH HHS/United States
PT  - Journal Article
DEP - 20200409
PL  - Switzerland
TA  - Front Psychol
JT  - Frontiers in psychology
JID - 101550902
PMC - PMC7160369
OTO - NOTNLM
OT  - animal fluency
OT  - biomarkers
OT  - computerized assessment
OT  - mild cognitive impairment (MCI)
OT  - neuropsychological tests
OT  - short term memory
EDAT- 2020/04/25 06:00
MHDA- 2020/04/25 06:01
PMCR- 2020/04/09
CRDT- 2020/04/25 06:00
PHST- 2019/08/31 00:00 [received]
PHST- 2020/03/06 00:00 [accepted]
PHST- 2020/04/25 06:00 [entrez]
PHST- 2020/04/25 06:00 [pubmed]
PHST- 2020/04/25 06:01 [medline]
PHST- 2020/04/09 00:00 [pmc-release]
AID - 10.3389/fpsyg.2020.00535 [doi]
PST - epublish
SO  - Front Psychol. 2020 Apr 9;11:535. doi: 10.3389/fpsyg.2020.00535. eCollection 
      2020.