Software Tool for Brain Connectivity Analysis

Structural magnetic resonance imaging (MRI) is a constitutive part of the clinical assessment of neurodegenerative patients. The routine neuroimaging evaluation of structural markers from preclinical to conspicuous stage is a key figure of how the disease is conceptualized, and will determine its...

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Main Author: Gan, Heng Yi
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22978 /
Published: Universiti Teknologi PETRONAS 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/22978/1/GanHengYi_18190_dissertation.pdf
http://utpedia.utp.edu.my/22978/
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spelling utp-utpedia.229782022-03-07T07:22:10Z http://utpedia.utp.edu.my/22978/ Software Tool for Brain Connectivity Analysis Gan, Heng Yi TK Electrical engineering. Electronics Nuclear engineering Structural magnetic resonance imaging (MRI) is a constitutive part of the clinical assessment of neurodegenerative patients. The routine neuroimaging evaluation of structural markers from preclinical to conspicuous stage is a key figure of how the disease is conceptualized, and will determine its imminent diagnosis and treatment to dementia. Atrophy, a late feature in the progression of the disease, is now a valid diagnostic marker to the neurodegenerative diseases. At the mild cognitive impairment stage of the Alzheimer disease (AD), the valid diagnostic marker is the atrophy of medical temporal structure [33]. In temporal lobe epilepsy (TLE), the atrophy of the subcortical brain structures specifically the size of the hippocampus is observed [34]. Apart from these neurodegenerative diseases, there is a significant evidence showing that the long-term ‘Ketum’ drug abuse also causes dementia which are profound impairments of learning and memory. These cognitive-impairing effects are revealed by the analysis of electroencephalogram (EEG) that shows a significant decline of delta power in the hippocampus [35]. Additionally, in the electrocorticography (ECoG) of the frontal cortex, it is found out that there is a complete suppression of the delta and theta bands [35]. Universiti Teknologi PETRONAS 2017-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22978/1/GanHengYi_18190_dissertation.pdf Gan, Heng Yi (2017) Software Tool for Brain Connectivity Analysis. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Gan, Heng Yi
Software Tool for Brain Connectivity Analysis
description Structural magnetic resonance imaging (MRI) is a constitutive part of the clinical assessment of neurodegenerative patients. The routine neuroimaging evaluation of structural markers from preclinical to conspicuous stage is a key figure of how the disease is conceptualized, and will determine its imminent diagnosis and treatment to dementia. Atrophy, a late feature in the progression of the disease, is now a valid diagnostic marker to the neurodegenerative diseases. At the mild cognitive impairment stage of the Alzheimer disease (AD), the valid diagnostic marker is the atrophy of medical temporal structure [33]. In temporal lobe epilepsy (TLE), the atrophy of the subcortical brain structures specifically the size of the hippocampus is observed [34]. Apart from these neurodegenerative diseases, there is a significant evidence showing that the long-term ‘Ketum’ drug abuse also causes dementia which are profound impairments of learning and memory. These cognitive-impairing effects are revealed by the analysis of electroencephalogram (EEG) that shows a significant decline of delta power in the hippocampus [35]. Additionally, in the electrocorticography (ECoG) of the frontal cortex, it is found out that there is a complete suppression of the delta and theta bands [35].
format Final Year Project
author Gan, Heng Yi
author_sort Gan, Heng Yi
title Software Tool for Brain Connectivity Analysis
title_short Software Tool for Brain Connectivity Analysis
title_full Software Tool for Brain Connectivity Analysis
title_fullStr Software Tool for Brain Connectivity Analysis
title_full_unstemmed Software Tool for Brain Connectivity Analysis
title_sort software tool for brain connectivity analysis
publisher Universiti Teknologi PETRONAS
publishDate 2017
url http://utpedia.utp.edu.my/22978/1/GanHengYi_18190_dissertation.pdf
http://utpedia.utp.edu.my/22978/
_version_ 1741195890319687680
score 11.62408

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