White Matter Network Alterations in Alzheimer’s Disease Patients
Previous studies have revealed the occurrence of alterations of white matter (WM) and grey matter (GM) microstructures in Alzheimer’s disease (AD) and their prodromal state amnestic mild cognitive impairment (MCI). In general, these alterations can be studied comprehensively by modeling th...
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doaj-c577ab317766421b8f0cc19bbc366be12020-11-25T01:45:08ZengMDPI AGApplied Sciences2076-34172020-01-0110391910.3390/app10030919app10030919White Matter Network Alterations in Alzheimer’s Disease PatientsRamesh Kumar Lama0Sang-Woong Lee1National Research Center for Dementia, Chosun University, Gwangju 61452, KoreaPattern Recognition and Machine Learning Lab., Gachon University, 1342 Seongnamdaero, Sujeonggu, Seongnam, Gyeonggido 13120, KoreaPrevious studies have revealed the occurrence of alterations of white matter (WM) and grey matter (GM) microstructures in Alzheimer’s disease (AD) and their prodromal state amnestic mild cognitive impairment (MCI). In general, these alterations can be studied comprehensively by modeling the brain as a complex network, which describes many important topological properties, such as the small-world property, modularity, and efficiency. In this study, we systematically investigated white matter abnormalities using unbiased whole brain network analysis. We compared regional and network related WM features between groups of 19 AD and 25 MCI patients and 22 healthy controls (HC) using tract-based spatial statistics (TBSS), network based statistics (NBS) and graph theoretical analysis. We did not find significant differences in fractional anisotropy (FA) between two groups on TBSS analysis. However, observable alterations were noticed at a network level. Brain network measures such as global efficiency and small world properties were low in AD patients compared to HCs.https://www.mdpi.com/2076-3417/10/3/919alzheimer’s diseasenetwork based statisticswhite matter |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ramesh Kumar Lama Sang-Woong Lee |
spellingShingle |
Ramesh Kumar Lama Sang-Woong Lee White Matter Network Alterations in Alzheimer’s Disease Patients Applied Sciences alzheimer’s disease network based statistics white matter |
author_facet |
Ramesh Kumar Lama Sang-Woong Lee |
author_sort |
Ramesh Kumar Lama |
title |
White Matter Network Alterations in Alzheimer’s Disease Patients |
title_short |
White Matter Network Alterations in Alzheimer’s Disease Patients |
title_full |
White Matter Network Alterations in Alzheimer’s Disease Patients |
title_fullStr |
White Matter Network Alterations in Alzheimer’s Disease Patients |
title_full_unstemmed |
White Matter Network Alterations in Alzheimer’s Disease Patients |
title_sort |
white matter network alterations in alzheimer’s disease patients |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-01-01 |
description |
Previous studies have revealed the occurrence of alterations of white matter (WM) and grey matter (GM) microstructures in Alzheimer’s disease (AD) and their prodromal state amnestic mild cognitive impairment (MCI). In general, these alterations can be studied comprehensively by modeling the brain as a complex network, which describes many important topological properties, such as the small-world property, modularity, and efficiency. In this study, we systematically investigated white matter abnormalities using unbiased whole brain network analysis. We compared regional and network related WM features between groups of 19 AD and 25 MCI patients and 22 healthy controls (HC) using tract-based spatial statistics (TBSS), network based statistics (NBS) and graph theoretical analysis. We did not find significant differences in fractional anisotropy (FA) between two groups on TBSS analysis. However, observable alterations were noticed at a network level. Brain network measures such as global efficiency and small world properties were low in AD patients compared to HCs. |
topic |
alzheimer’s disease network based statistics white matter |
url |
https://www.mdpi.com/2076-3417/10/3/919 |
work_keys_str_mv |
AT rameshkumarlama whitematternetworkalterationsinalzheimersdiseasepatients AT sangwoonglee whitematternetworkalterationsinalzheimersdiseasepatients |
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1725024864986726400 |