Advertisement

AUTOMATIC ASSESSMENT OF CONVENTIONAL COGNITIVE TESTS FOR DIFFERENTIATING MILD COGNITIVE IMPAIRMENT: A PROOF OF CONCEPT STUDY OF THE DIGIT SPAN TASK

      Current conventional cognitive assessments are limited in their efficiency and sensitivity, often relying on a single score such as the total items correct. Typically, multiple features of response go uncaptured. The use of digital technologies allows for these response characteristics to be readily captured and automatically analyzed thus increasing the potential power of assessments. As a proof of this concept, we analyzed the Digit Span (DS) task where conventionally, total number of correctly recalled digits in both forward DS (FDS) and backward DS (BDS) tasks across test items constructs the test score. This scoring method pays equal attention to all presented items and ignores the count of incorrectly recalled digits. Additionally, the length of prompts adds to the complexity of test performance. Our objective in this study is to explore a new set of automatically derived biomarkers from DS test that address some of the drawbacks in the conventional scoring and are also useful for distinguishing subjects with MCI from those with intact cognition.
      To read this article in full you will need to make a payment
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'