Spatio-Semantic Graphs From Picture Description: Applications to Detection of Cognitive Impairment

被引:6
作者
Ambadi, Pranav S. [1 ]
Basche, Kristin [2 ]
Koscik, Rebecca L. [3 ]
Berisha, Visar [1 ]
Liss, Julie M. [1 ]
Mueller, Kimberly D. [2 ,4 ]
机构
[1] Arizona State Univ, Coll Hlth Solut, Tempe, AZ 85287 USA
[2] Univ Wisconsin Madison, Sch Med & Publ Hlth, Div Geriatr, Madison, WI USA
[3] Univ Wisconsin Madison, Wisconsin Alzheimers Inst, Sch Med & Publ Hlth, Madison, WI USA
[4] Univ Wisconsin Madison, Dept Commun Sci & Disorders, Madison, WI USA
来源
FRONTIERS IN NEUROLOGY | 2021年 / 12卷
基金
美国国家卫生研究院;
关键词
Alzheimer's disease; dementia; speech biomarkers; cognition; semantic analysis; cookie theft; graph theory; ALZHEIMERS-DISEASE; NATURAL-HISTORY; RETRIEVAL; SPEECH;
D O I
10.3389/fneur.2021.795374
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Clinical assessments often use complex picture description tasks to elicit natural speech patterns and magnify changes occurring in brain regions implicated in Alzheimer's disease and dementia. As The Cookie Theft picture description task is used in the largest Alzheimer's disease and dementia cohort studies available, we aimed to create algorithms that could characterize the visual narrative path a participant takes in describing what is happening in this image. We proposed spatio-semantic graphs, models based on graph theory that transform the participants' narratives into graphs that retain semantic order and encode the visuospatial information between content units in the image. The resulting graphs differ between Cognitively Impaired and Unimpaired participants in several important ways. Cognitively Impaired participants consistently scored higher on features that are heavily associated with symptoms of cognitive decline, including repetition, evidence of short-term memory lapses, and generally disorganized narrative descriptions, while Cognitively Unimpaired participants produced more efficient narrative paths. These results provide evidence that spatio-semantic graph analysis of these tasks can generate important insights into a participant's cognitive performance that cannot be generated from semantic analysis alone.
引用
收藏
页数:9
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