Publications by authors named "Wan-Lin Liang"
Article Synopsis
- This study investigates how linguistic features in speech can help identify early cognitive impairments in Alzheimer's disease (AD), as previous research has shown their potential sensitivity to detecting the condition.
- By analyzing connected speech from 80 participants, grouped into early-AD and normal controls, the study examined 15 linguistic features alongside neuropsychological tests and imaging results.
- The results indicated significant differences in speech characteristics between the groups, with machine learning techniques achieving up to 88% accuracy in detection, emphasizing the importance of features like mean length of utterance and long pauses in improving predictive accuracy alongside biomarkers.
Background: Acetylcholinesterase inhibitor (AChEI) drug regimens are the mainstay treatment options for patients with Alzheimer's disease (AD). Herein, We examined the association between clinical response to AChEI and white matter hyperintensities on magnetic resonance imaging (MRI) scan at baseline.
Methods: Between 2020 and 2021, we recruited 101 individuals with a clinical diagnosis of probable AD.