ArticleFrontiers in neurology2017
A Novel Sonification Approach to Support the Diagnosis of Alzheimer's Dementia.
Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- A Dual Stream Deep Learning Framework for Alzheimer's Disease Detection Using MRI Sonification.Journal of imaging · 2026Article
- Auditory Discrimination of Parametrically Sonified EEG Signals in Alzheimer's Disease.Journal of clinical medicine · 2025Article
- ST Elevation Sonification of a 12-Lead ECG for the Assessment, Diagnosis, and Monitoring of ST Elevation Myocardial Infarction.Sensors (Basel, Switzerland) · 2025Article
- Article
- An Embodied Sonification Model for Sit-to-Stand Transfers.Frontiers in psychology · 2022Article
- Real-time audio and visual display of the Coronavirus genome.BMC bioinformatics · 2020Article
- Using the Sonification for Hardly Detectable Details in Medical Images.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Alzheimer's disease is the most common neurodegenerative form of dementia that steadily worsens and eventually leads to death. Its set of symptoms include loss of cognitive function and memory decline. Structural and functional imaging methods such as CT, MRI, and PET scans play an essential role in the diagnosis process, being able to identify specific areas of cerebral damages. While the accuracy of these imaging techniques increases over time, the severity assessment of dementia remains challenging and susceptible to cognitive and perceptual errors due to intra-reader variability among physicians. Doctors have not agreed upon standardized measurement of cell loss used to specifically diagnose dementia among individuals. These limitations have led researchers to look for supportive diagnosis tools to enhance the spectrum of diseases characteristics and peculiarities. Here is presented a supportive auditory tool to aid in diagnosing patients with different levels of Alzheimer's. This tool introduces an audible parameter mapped upon three different brain's lobes. The motivating force behind this supportive auditory technique arise from the fact that AD is distinguished by a decrease of the metabolic activity (hypometabolism) in the parietal and temporal lobes of the brain. The diagnosis is then performed by comparing metabolic activity of the affected lobes to the metabolic activity of other lobes that are not generally affected by AD (i.e., sensorimotor cortex). Results from the diagnosis process compared with the ground truth show that physicians were able to categorize different levels of AD using the sonification generated in this study with higher accuracy than using a standard diagnosis procedure, based on the visualization alone.
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Registered trials
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