Findings show that concurrent clinical assessments can identify interpretable, depression-specific acoustic markers in populations where cognitive and affective symptoms co-occur.
Abstract
Detecting depression from speech in elderly patients with mild cognitive impairment (MCI) is complicated by overlapping acoustic effects of cognitive decline. Without disentangling these, classifiers risk learning cognitive rather than depression-specific patterns. We present a Korean elderly speech corpus of 89 MCI speakers collected over three years with concurrent depression (SGDS) and cognitive (MMSE) assessments. Both linear mixed-effects models and partial correlations identify the same pattern: of seven feature groups, only formant features are associated with depression after controlling for cognitive function, while widely used F0 features carry no signal. The F1+F2 subset achieves UAR 0.760 with just 12 features, outperforming both the full eGeMAPS baseline and self-supervised representations. These findings show that concurrent clinical assessments can identify interpretable, depression-specific acoustic markers in populations where cognitive and affective symptoms co-occur.
A short, automated speech-based assessment integrating task scores with acoustic features could effectively differentiate among individuals with CN, MCI, and dementia, and its consistent performance in an independent external cohort supports potential deployment in primary care, community, and home-based settings.
Takayuki Asano, Setsuo Kinoshita, Asako Yasuda et al.· Alzheimer's Research & T...· 0 citations
Abstract INTRODUCTION Physiological aging involves gradual modifications of brain activity patterns sometimes leading to pathological outcomes. Understanding changes in brain signal complexity from healthy aging to mild cognitive impairment (MCI) and Alzheimer's disease (AD) may provide insights into cognitive decline...
A. Cacciotti, A. Fabbrocino, C. Pappalettera et al.· Alzheimer's & Dementia· 0 citations
Subtle language changes occur early in Alzheimer's disease (AD). Early detection of these changes therefore represents a potential tool for the early detection of individuals who could develop the disease. Knowledge on connected speech (CS) in Subjective Cognitive Decline (SCD, a preclinical stage of AD for at least so...
Sophie Pellerin, N. Clarke, Nicholas Grunden et al.· Brain and Language· 0 citations
Objective: To evaluate the clinical utility of selected CVLT-II process scores (intrusions, semantic clustering, and learning slope) for identifying mild cognitive impairment (MCI) in a memory clinic sample. We examined whether these indices provide incremental diagnostic value beyond long delay free recall (LDFR) an...
Caitlin Baird Kissinger, Adam Acker, Laura Estupiñan Higuera et al.· Archives of Clinical Neurops...· 0 citations
Mild Cognitive Impairment (MCI) is an important stage between normal cognitive ageing and
dementia, making its early identification particularly valuable for timely intervention and longterm care. This paper examines the potential of Artificial Intelligence (AI) in analysing
conversational speech as a non-invasive meth...
Avika Singhal· International Journal of Soc...· 0 citations
