Comparison of neurodegenerative types using different brain MRI analysis metrics in older adults with normal cognition, mild cognitive impairment, and Alzheimer’s dementia

Myungwon Choi; Hyun Chul Youn; Daegyeom Kim; Suji Lee; Sangil Suh; Joon Kyung Seong; Hyun Ghang Jeong; Cheol E. Han

doi:10.1371/journal.pone.0220739

Comparison of neurodegenerative types using different brain MRI analysis metrics in older adults with normal cognition, mild cognitive impairment, and Alzheimer’s dementia

Myungwon Choi, Hyun Chul Youn, Daegyeom Kim, Suji Lee, Sangil Suh, Joon Kyung Seong, Hyun Ghang Jeong, Cheol E. Han

Department of Artificial Intelligence

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Several metrics of analysis of magnetic resonance imaging (MRI) have been used to assess Alzheimer’s disease (AD)-related neurodegeneration. We compared four structural brain MRI analysis metrics, cortical thickness, volume, surface area, and local gyrification index (LGI), in different stages of AD-related cognitive decline. Participants with normal cognition, mild cognitive impairment, and AD were included (34 participants per group). All undertook the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) battery of neuropsychological tests and brain MRI scanning. We analyzed associations between morphometric measures and CERAD total/ Mini Mental State Examination (MMSE) scores for the regions of interest (ROIs), identifying three types of curves: U-shaped, inverted U-shaped, and linear. Cortical thickness and volume analyses showed linear types in most of the significant ROIs. Significant ROIs for the cortical thickness analysis were located in the temporal and limbic lobes, whereas those for volume and surface area were distributed over more diffuse areas of the brain. LGI analysis showed few significant ROIs. CERAD total scores were more sensitive to early changes of cortical structures than MMSE scores. Cortical thickness analysis may be preferable in assessing brain structural MRI changes during AD-related cognitive decline, whereas LGI analysis may have limited capability to reflect the cognitive decrease. Our findings may provide a reference for future studies and help to establish optimal analytical approaches to brain structural MRI in neurodegenerative diseases.

Original language	English
Article number	e0220739
Journal	PloS one
Volume	14
Issue number	8
DOIs	https://doi.org/10.1371/journal.pone.0220739
Publication status	Published - 2019 Aug 1

Bibliographical note

Funding Information:
This work was supported by the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) that was funded by the Ministry of Health & Welfare, Republic of Korea (HC15C1509 to HG Jeong) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) granted funded by the Korea government (Ministry of Science and ICT, MSIT) (NRF-2015R1C1A1A01052172 to HG Jeong). The URLs are https://www.khidi.or.kr/kps and http://nrf.re.kr/ index, respectively. Additional funding came from the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education (2016R1D1A1B03934990 to CE Han), and by ICT R&D program of MSIP/IITP (R7124-16-0004 to CE Han, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding). The URL is http://nrf.re.kr/index. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2019 Choi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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title = "Comparison of neurodegenerative types using different brain MRI analysis metrics in older adults with normal cognition, mild cognitive impairment, and Alzheimer{\textquoteright}s dementia",

abstract = "Several metrics of analysis of magnetic resonance imaging (MRI) have been used to assess Alzheimer{\textquoteright}s disease (AD)-related neurodegeneration. We compared four structural brain MRI analysis metrics, cortical thickness, volume, surface area, and local gyrification index (LGI), in different stages of AD-related cognitive decline. Participants with normal cognition, mild cognitive impairment, and AD were included (34 participants per group). All undertook the Consortium to Establish a Registry for Alzheimer{\textquoteright}s Disease (CERAD) battery of neuropsychological tests and brain MRI scanning. We analyzed associations between morphometric measures and CERAD total/ Mini Mental State Examination (MMSE) scores for the regions of interest (ROIs), identifying three types of curves: U-shaped, inverted U-shaped, and linear. Cortical thickness and volume analyses showed linear types in most of the significant ROIs. Significant ROIs for the cortical thickness analysis were located in the temporal and limbic lobes, whereas those for volume and surface area were distributed over more diffuse areas of the brain. LGI analysis showed few significant ROIs. CERAD total scores were more sensitive to early changes of cortical structures than MMSE scores. Cortical thickness analysis may be preferable in assessing brain structural MRI changes during AD-related cognitive decline, whereas LGI analysis may have limited capability to reflect the cognitive decrease. Our findings may provide a reference for future studies and help to establish optimal analytical approaches to brain structural MRI in neurodegenerative diseases.",

author = "Myungwon Choi and Youn, {Hyun Chul} and Daegyeom Kim and Suji Lee and Sangil Suh and Seong, {Joon Kyung} and Jeong, {Hyun Ghang} and Han, {Cheol E.}",

note = "Funding Information: This work was supported by the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) that was funded by the Ministry of Health & Welfare, Republic of Korea (HC15C1509 to HG Jeong) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) granted funded by the Korea government (Ministry of Science and ICT, MSIT) (NRF-2015R1C1A1A01052172 to HG Jeong). The URLs are https://www.khidi.or.kr/kps and http://nrf.re.kr/ index, respectively. Additional funding came from the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education (2016R1D1A1B03934990 to CE Han), and by ICT R&D program of MSIP/IITP (R7124-16-0004 to CE Han, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding). The URL is http://nrf.re.kr/index. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2019 Choi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

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AU - Suh, Sangil

AU - Seong, Joon Kyung

AU - Jeong, Hyun Ghang

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Comparison of neurodegenerative types using different brain MRI analysis metrics in older adults with normal cognition, mild cognitive impairment, and Alzheimer’s dementia

Abstract

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