A fully automated cognitive screening tool based on assessment of speech and language: Neuropsychology/computerized neuropsychological assessment. (7th December 2020)

• Record Type: Journal Article
• Authors: O'Malley, Ronan; Walker, Traci; Mirheidari, Bahman; Christensen, Heidi; Reuber, Markus; Blackburn, Daniel J.; Venneri, Annalena
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 6
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.041980
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: The dramatic recent rise in referrals to specialist memory clinics has been associated with an increased proportion of patients referred with Functional Memory Disorder (FMD), i.e. non‐progressive cognitive complaints. These referrals have exerted time and financial pressures on secondary care services, impairing their ability to deliver high‐quality care for patients with neurodegenerative cognitive disorders. We have developed a fully automated system, "CognoSpeak", which enables risk stratification at the primary‐secondary care interface and ongoing monitoring of patients with memory concerns. Method: We recruited 15 participants to each of four groups: Alzheimer's disease (AD), Mild Cognitive Impairment (MCI), FMD and healthy controls. Participants responded to 12 questions posed by a computer‐presented talking head. Automatic analysis of the audio and speech data involved speaker segmentation, automatic speech recognition and machine learning classification. Result: CognoSpeak could distinguish between participants in the AD or MCI groups and those in the FMD or healthy control groups with a sensitivity of 86.7%. Patients with MCI were identified with a sensitivity of 80%. Conclusion: Our fully automated system achieved levels of accuracy comparable to currently available, manually administered assessments. Greater accuracy should be achievable through further system training with a greater number of users, the inclusion of verbal fluency tasks and mood assessments. The current data supports CognoSpeak's promise as a screening and monitoring tool for patients with MCI. Pending confirmation of these findings, it may allow clinicians to offer patients at low risk of dementia earlier reassurance and relieve pressures on specialist memory services.