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A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725407/ https://www.ncbi.nlm.nih.gov/pubmed/29270150 http://dx.doi.org/10.3389/fneur.2017.00647 |
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author | Gionfrida, Letizia Roginska, Agnieszka |
author_facet | Gionfrida, Letizia Roginska, Agnieszka |
author_sort | Gionfrida, Letizia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5725407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57254072017-12-21 A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia Gionfrida, Letizia Roginska, Agnieszka Front Neurol Neuroscience 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. Frontiers Media S.A. 2017-12-07 /pmc/articles/PMC5725407/ /pubmed/29270150 http://dx.doi.org/10.3389/fneur.2017.00647 Text en Copyright © 2017 Gionfrida and Roginska. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Gionfrida, Letizia Roginska, Agnieszka A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia |
title | A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia |
title_full | A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia |
title_fullStr | A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia |
title_full_unstemmed | A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia |
title_short | A Novel Sonification Approach to Support the Diagnosis of Alzheimer’s Dementia |
title_sort | novel sonification approach to support the diagnosis of alzheimer’s dementia |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725407/ https://www.ncbi.nlm.nih.gov/pubmed/29270150 http://dx.doi.org/10.3389/fneur.2017.00647 |
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