Early detection of electroencephalogram temporal events in alzheimer’s disease

Pedro Miguel Rodrigues; Diamantino Freitas; João Paulo Teixeira; Dílio Alves; Carolina Garrett

doi:10.4018/978-1-5225-1724-5.ch007

Early detection of electroencephalogram temporal events in alzheimer’s disease

Pedro Miguel Rodrigues, Diamantino Freitas, João Paulo Teixeira, Dílio Alves, Carolina Garrett

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

Alzheimer's Disease (AD) is considered one of the most debilitating illness in modern societies and the leading cause of dementia. This study is a new approach to detect early AD Electroencephalogram (EEG) temporal events in order to improve early AD diagnosis. For that, Self-Organized Maps (SOM) were used, and it was found that there are sequences of EEG energy variation, characteristic of AD, that appear with high incidence in Mild Cognitive Impairment (MCI) patients. Those AD events are related to the first cognitive changes in patients that interfered with the normal EEG signal pattern. Moreover, there are significant differences concerning the propagation time of those events between the study groups(p=0.0082<0.05), meaning that, as AD progresses the brain dynamics are progressively affected, what is expected because AD causes brain atrophy.

Original language	English
Title of host publication	Design, development, and integration of reliable electronic healthcare platforms
Editors	Anastasius Moumtzoglou
Publisher	IGI Global Publishing
Chapter	7
Pages	112-131
Number of pages	20
ISBN (Electronic)	9781522517252
ISBN (Print)	9781522517245
DOIs	https://doi.org/10.4018/978-1-5225-1724-5.ch007
Publication status	Published - 2017
Externally published	Yes

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abstract = "Alzheimer's Disease (AD) is considered one of the most debilitating illness in modern societies and the leading cause of dementia. This study is a new approach to detect early AD Electroencephalogram (EEG) temporal events in order to improve early AD diagnosis. For that, Self-Organized Maps (SOM) were used, and it was found that there are sequences of EEG energy variation, characteristic of AD, that appear with high incidence in Mild Cognitive Impairment (MCI) patients. Those AD events are related to the first cognitive changes in patients that interfered with the normal EEG signal pattern. Moreover, there are significant differences concerning the propagation time of those events between the study groups(p=0.0082<0.05), meaning that, as AD progresses the brain dynamics are progressively affected, what is expected because AD causes brain atrophy. ",

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Early detection of electroencephalogram temporal events in alzheimer’s disease. / Rodrigues, Pedro Miguel; Freitas, Diamantino; Teixeira, João Paulo et al.
Design, development, and integration of reliable electronic healthcare platforms. ed. / Anastasius Moumtzoglou. IGI Global Publishing, 2017. p. 112-131.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Early detection of electroencephalogram temporal events in alzheimer’s disease

AU - Rodrigues, Pedro Miguel

AU - Freitas, Diamantino

AU - Teixeira, João Paulo

AU - Alves, Dílio

AU - Garrett, Carolina

PY - 2017

Y1 - 2017

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AB - Alzheimer's Disease (AD) is considered one of the most debilitating illness in modern societies and the leading cause of dementia. This study is a new approach to detect early AD Electroencephalogram (EEG) temporal events in order to improve early AD diagnosis. For that, Self-Organized Maps (SOM) were used, and it was found that there are sequences of EEG energy variation, characteristic of AD, that appear with high incidence in Mild Cognitive Impairment (MCI) patients. Those AD events are related to the first cognitive changes in patients that interfered with the normal EEG signal pattern. Moreover, there are significant differences concerning the propagation time of those events between the study groups(p=0.0082<0.05), meaning that, as AD progresses the brain dynamics are progressively affected, what is expected because AD causes brain atrophy.

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EP - 131

BT - Design, development, and integration of reliable electronic healthcare platforms

A2 - Moumtzoglou, Anastasius

PB - IGI Global Publishing

ER -

Early detection of electroencephalogram temporal events in alzheimer’s disease

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