Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging
Mild cognitive impairment (MCI) is characterized as a transitional phase between cognitive decline associated with normal aging and Alzheimer’s disease (AD). Resting-state functional magnetic resonance imaging (fMRI) measuring blood oxygenation level-dependent (BOLD) signals provides complementary i...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-04-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnagi.2020.00090/full |
| _version_ | 1819170748159229952 |
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| author | Haixia Zheng Keiichi Onoda Atsushi Nagai Shuhei Yamaguchi |
| author_facet | Haixia Zheng Keiichi Onoda Atsushi Nagai Shuhei Yamaguchi |
| author_sort | Haixia Zheng |
| collection | DOAJ |
| description | Mild cognitive impairment (MCI) is characterized as a transitional phase between cognitive decline associated with normal aging and Alzheimer’s disease (AD). Resting-state functional magnetic resonance imaging (fMRI) measuring blood oxygenation level-dependent (BOLD) signals provides complementary information considered essential for understanding disease progression. Previous studies suggested that multi-scale entropy (MSE) analysis quantifying the complexity of BOLD signals is a novel and promising method for investigating neurodegeneration associated with cognitive decline in different stages of MCI. Therefore, the current study used MSE to explore the changes in the complexity of resting-state brain BOLD signals in patients with early MCI (EMCI) and late MCI (LMCI). We recruited 345 participants’ data from the Alzheimer’s Disease Neuroimaging Initiative database, including 176 normal control (NC) subjects, 87 patients with EMCI and 82 patients with LMCI. We observed a significant reduction of brain signal complexity toward regularity in the left fusiform gyrus region in the EMCI group and in the rostral anterior cingulate cortex in the LMCI group. Our results extend prior work by revealing that significant reductions of brain BOLD signal complexity can be detected in different stages of MCI independent of age, sex and regional atrophy. Notably, the reduction of BOLD signal complexity in the rostral anterior cingulate cortex was significantly associated with greater risk of progression to AD. The present study thus identified MSE as a potential imaging biomarker for the early diagnosis of pre-clinical Alzheimer’s disease and provides further insights into the neuropathology of cognitive decline in prodromal AD. |
| first_indexed | 2024-12-22T19:40:19Z |
| format | Article |
| id | doaj.art-ad4f57d74a694aae8e99523c54feedfc |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-12-22T19:40:19Z |
| publishDate | 2020-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-ad4f57d74a694aae8e99523c54feedfc2022-12-21T18:14:53ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652020-04-011210.3389/fnagi.2020.00090503092Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal AgingHaixia Zheng0Keiichi Onoda1Atsushi Nagai2Shuhei Yamaguchi3Laureate Institute for Brain Research, Tulsa, OK, United StatesDepartment of Neurology, Faculty of Medicine, Shimane University, Izumo, JapanDepartment of Neurology, Faculty of Medicine, Shimane University, Izumo, JapanDepartment of Neurology, Faculty of Medicine, Shimane University, Izumo, JapanMild cognitive impairment (MCI) is characterized as a transitional phase between cognitive decline associated with normal aging and Alzheimer’s disease (AD). Resting-state functional magnetic resonance imaging (fMRI) measuring blood oxygenation level-dependent (BOLD) signals provides complementary information considered essential for understanding disease progression. Previous studies suggested that multi-scale entropy (MSE) analysis quantifying the complexity of BOLD signals is a novel and promising method for investigating neurodegeneration associated with cognitive decline in different stages of MCI. Therefore, the current study used MSE to explore the changes in the complexity of resting-state brain BOLD signals in patients with early MCI (EMCI) and late MCI (LMCI). We recruited 345 participants’ data from the Alzheimer’s Disease Neuroimaging Initiative database, including 176 normal control (NC) subjects, 87 patients with EMCI and 82 patients with LMCI. We observed a significant reduction of brain signal complexity toward regularity in the left fusiform gyrus region in the EMCI group and in the rostral anterior cingulate cortex in the LMCI group. Our results extend prior work by revealing that significant reductions of brain BOLD signal complexity can be detected in different stages of MCI independent of age, sex and regional atrophy. Notably, the reduction of BOLD signal complexity in the rostral anterior cingulate cortex was significantly associated with greater risk of progression to AD. The present study thus identified MSE as a potential imaging biomarker for the early diagnosis of pre-clinical Alzheimer’s disease and provides further insights into the neuropathology of cognitive decline in prodromal AD.https://www.frontiersin.org/article/10.3389/fnagi.2020.00090/fullmild cognitive impairmentmulti-scale entropyresting-state fMRIBOLD complexityimaging biomarker |
| spellingShingle | Haixia Zheng Keiichi Onoda Atsushi Nagai Shuhei Yamaguchi Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging Frontiers in Aging Neuroscience mild cognitive impairment multi-scale entropy resting-state fMRI BOLD complexity imaging biomarker |
| title | Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging |
| title_full | Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging |
| title_fullStr | Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging |
| title_full_unstemmed | Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging |
| title_short | Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging |
| title_sort | reduced dynamic complexity of bold signals differentiates mild cognitive impairment from normal aging |
| topic | mild cognitive impairment multi-scale entropy resting-state fMRI BOLD complexity imaging biomarker |
| url | https://www.frontiersin.org/article/10.3389/fnagi.2020.00090/full |
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