Coupling analysis between functional and structural brain networks in Alzheimer's disease
The coupling between functional and structural brain networks is difficult to clarify due to the complicated alterations in gray matter and white matter for the development of Alzheimer's disease (AD). A cohort of 112 participants [normal control group (NC, 62 cases), mild cognitive impairment...
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AIMS Press
2022-06-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022416?viewType=HTML |
| _version_ | 1828899558749372416 |
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| author | Xia Xu Song Xu Liting Han Xufeng Yao |
| author_facet | Xia Xu Song Xu Liting Han Xufeng Yao |
| author_sort | Xia Xu |
| collection | DOAJ |
| description | The coupling between functional and structural brain networks is difficult to clarify due to the complicated alterations in gray matter and white matter for the development of Alzheimer's disease (AD). A cohort of 112 participants [normal control group (NC, 62 cases), mild cognitive impairment group (MCI, 31 cases) and AD group (19 cases)], was recruited in our study. The brain networks of rsfMRI functional connectivity (rsfMRI-FC) and diffusion tensor imaging structural connectivity (DTI-SC) across the three groups were constructed, and their correlations were evaluated by Pearson's correlation analyses and multiple comparison with Bonferroni correction. Furthermore, the correlations between rsfMRI-SC/DTI-FC coupling and four neuropsychological scores of mini-mental state examination (MMSE), clinical dementia rating-sum of boxes (CDR-SB), functional activities questionnaire (FAQ) and montreal cognitive assessment (MoCA) were inferred by partial correlation analyses, respectively. The results demonstrated that there existed significant correlation between rsfMRI-FC and DTI-SC (p < 0.05), and the coupling of rsfMRI-FC/DTI-SC showed negative correlation with MMSE score (p < 0.05), positive correlations with CDR-SB and FAQ scores (p < 0.05), and no correlation with MoCA score (p > 0.05). It was concluded that there existed FC/SC coupling and varied network characteristics for rsfMRI and DTI, and this would provide the clues to understand the underlying mechanisms of cognitive deficits of AD. |
| first_indexed | 2024-12-13T15:32:56Z |
| format | Article |
| id | doaj.art-9b7098547bec4598be9378eb3f811e9c |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-13T15:32:56Z |
| publishDate | 2022-06-01 |
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| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-9b7098547bec4598be9378eb3f811e9c2022-12-21T23:40:07ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-06-011998963897410.3934/mbe.2022416Coupling analysis between functional and structural brain networks in Alzheimer's diseaseXia Xu0Song Xu 1Liting Han 2Xufeng Yao31. College of Medical Imaging, Jiading District Central Hospital affiliated Shanghai University of Medicine and Health Sciences, Shanghai 201318, China 2. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China1. College of Medical Imaging, Jiading District Central Hospital affiliated Shanghai University of Medicine and Health Sciences, Shanghai 201318, China 2. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China1. College of Medical Imaging, Jiading District Central Hospital affiliated Shanghai University of Medicine and Health Sciences, Shanghai 201318, China 2. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China1. College of Medical Imaging, Jiading District Central Hospital affiliated Shanghai University of Medicine and Health Sciences, Shanghai 201318, China 2. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaThe coupling between functional and structural brain networks is difficult to clarify due to the complicated alterations in gray matter and white matter for the development of Alzheimer's disease (AD). A cohort of 112 participants [normal control group (NC, 62 cases), mild cognitive impairment group (MCI, 31 cases) and AD group (19 cases)], was recruited in our study. The brain networks of rsfMRI functional connectivity (rsfMRI-FC) and diffusion tensor imaging structural connectivity (DTI-SC) across the three groups were constructed, and their correlations were evaluated by Pearson's correlation analyses and multiple comparison with Bonferroni correction. Furthermore, the correlations between rsfMRI-SC/DTI-FC coupling and four neuropsychological scores of mini-mental state examination (MMSE), clinical dementia rating-sum of boxes (CDR-SB), functional activities questionnaire (FAQ) and montreal cognitive assessment (MoCA) were inferred by partial correlation analyses, respectively. The results demonstrated that there existed significant correlation between rsfMRI-FC and DTI-SC (p < 0.05), and the coupling of rsfMRI-FC/DTI-SC showed negative correlation with MMSE score (p < 0.05), positive correlations with CDR-SB and FAQ scores (p < 0.05), and no correlation with MoCA score (p > 0.05). It was concluded that there existed FC/SC coupling and varied network characteristics for rsfMRI and DTI, and this would provide the clues to understand the underlying mechanisms of cognitive deficits of AD.https://www.aimspress.com/article/doi/10.3934/mbe.2022416?viewType=HTMLalzheimer's disease (ad)functional connectivity (fc)functional magnetic resonance imaging (fmri)structural connectivity (sc)diffusion tensor imaging (dti) |
| spellingShingle | Xia Xu Song Xu Liting Han Xufeng Yao Coupling analysis between functional and structural brain networks in Alzheimer's disease Mathematical Biosciences and Engineering alzheimer's disease (ad) functional connectivity (fc) functional magnetic resonance imaging (fmri) structural connectivity (sc) diffusion tensor imaging (dti) |
| title | Coupling analysis between functional and structural brain networks in Alzheimer's disease |
| title_full | Coupling analysis between functional and structural brain networks in Alzheimer's disease |
| title_fullStr | Coupling analysis between functional and structural brain networks in Alzheimer's disease |
| title_full_unstemmed | Coupling analysis between functional and structural brain networks in Alzheimer's disease |
| title_short | Coupling analysis between functional and structural brain networks in Alzheimer's disease |
| title_sort | coupling analysis between functional and structural brain networks in alzheimer s disease |
| topic | alzheimer's disease (ad) functional connectivity (fc) functional magnetic resonance imaging (fmri) structural connectivity (sc) diffusion tensor imaging (dti) |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2022416?viewType=HTML |
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