Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gionfrida, Letizia, Roginska, Agnieszka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
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
_version_ 1783285515154358272
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
work_keys_str_mv AT gionfridaletizia anovelsonificationapproachtosupportthediagnosisofalzheimersdementia
AT roginskaagnieszka anovelsonificationapproachtosupportthediagnosisofalzheimersdementia
AT gionfridaletizia novelsonificationapproachtosupportthediagnosisofalzheimersdementia
AT roginskaagnieszka novelsonificationapproachtosupportthediagnosisofalzheimersdementia