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Disrupted Functional Brain Connectivity and Its Association to Structural Connectivity in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease
Open accessAbstract
Although anomalies in the topological architecture of whole-brain connectivity have been found to be associated with Alzheimer's disease (AD), our understanding about the progression of AD in a functional connectivity (FC) perspective is still rudimentary and few study has explored the function-structure relations in brain networks of AD patients. By using resting-state functional MRI (fMRI), this study firstly investigated organizational alternations in FC networks in 12 AD patients, 15 amnestic mild cognitive impairment (aMCI) patients, and 14 age-matched healthy aging subjects and found that all three groups exhibit economical small-world network properties. Nonetheless, we found a decline of the optimal architecture in the progression of AD, represented by a more localized modular organization with less efficient local information transfer. Our results also show that aMCI forms a boundary between normal aging and AD and represents a functional continuum between healthy aging and the earliest signs of dementia. Moreover, we revealed a dissociated relationship between the overall FC and structural connectivity (SC) in AD patients. In this study, diffusion tensor imaging tractography was used to map the structural network of the same individuals. The decreased FC-SC coupling may be indicative of more stringent and less dynamic brain function in AD patients. Our findings provided insightful implications for understanding the pathophysiological mechanisms of brain dysfunctions in aMCI and AD patients and demonstrated that functional disorders can be characterized by multimodal neuroimaging-based metrics.
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“Previous DTI and fMRI connectome studies of patients with AD have also demonstrated lower normalized clustering, small-worldness, and modularity (Brier et al., 2014; Sun et al., 2014; Supekar, Menon, Rubin, Musen, & Greicius, 2008).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Sun et al., 2014
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“However, Sun et al. (2014) observed lower structure-function coupling in connectomes of patients with AD.”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Sun et al. (2014)
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,852
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,007
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
Lawton, M. P., & Brody, E. M. (1969) · The Gerontologist · doi:10.1093/geront/9.3_part_1.179 · Cited by 18,540
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
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Research works printed but not linked: 1
- Q Guo, 2009, A comparison study of mild cognitive impairment with 3 memory tests among Chinese individuals, Alzheimer Dis Assoc Disord, 23, 253, 10.1097/WAD.0b013e3181999e92 · DOI
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Sorted by citations
Items 101–122 of 122
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The Resilience and Vulnerability of Human Brain Networks Across the Lifespan
Shu, P., Zhu, H., Jin, W., Zhou, J., Tong, S., & Sun, J. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3105991 · Cited by 3
Self-citationGamgam, G., Yıldırım, Z., Kabakçıoğlu, A., Gurvit, H. I., Demıralp, T., & Acar, B. (2024) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2024.108290 · Cited by 4
Billaud, C., & Yu, J.-H. (2025) · Network Neuroscience · doi:10.1162/netn_a_00461 · Cited by 2
Roy, N., Singleton, S. P., Jamison, K. W., Mukherjee, P., Shah, S. A., & Kuceyeski, A. F. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103799 · Cited by 2
Comparing Community Detection Algorithms on Neuroimaging Data from Multiple Subjects
de Souza, J., Taya, F., Thakor, N. V., & Bezerianos, A. (2015) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2015.124 · Cited by 2
Self-citationGeethaRamani, R., & Sivaselvi, K. (2016) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2016.02.002 · Cited by 2
Altered Anatomical Modular Organization of Brain Networks in Patients with Major Depressive Disorder
Zhu, J., Shen, X., Qin, J., Wei, M., Yan, R., Chen, J.-H., Yao, Z., & Lü, Q. (2016) · International Conference on Biological Sciences and Technology (BST) · doi:10.2991/bst-16.2016.42 · Cited by 2
Bayır, G., Dal, D. Y., Harı, E., Ay, U., Gurvit, H. I., Kabakçıoğlu, A., & Acar, B. (2025) · Bioengineering · doi:10.3390/bioengineering12080819 · Cited by 1
Bai, S., Li, F., Liu, J., Zhang, J., Zhao, S., Sun, K., Xie, F., Zhu, C., Zhang, H., & Shen, D. G. (2026) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.70050 · Cited by 1
Ellis, D. G., Warren, D. E., Garlinghouse, M. A., & Aizenberg, M. R. (2024) · Preprints.org · doi:10.20944/preprints202405.0739.v1 · Cited by 1
Wei, L., Yang, C., Wang, L., Wang, Y., & Nie, S. (2017) · PubMed Central · doi:10.7507/1001-5515.201603074
Self-citationVascular cognitive impairment in the mouse reshapes visual, spatial network functional connectivityPreprint
Hall, G. R., Boehm‐Sturm, P., Dirnagl, U., Finke, C., Foddis, M., Harms, C., Koch, S., Kuchling, J., Madan, C. R., Mueller, S. G., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.04.366294
Delirium as a disorder of brain network disintegration
van Montfort, S. J. T. (2020) · Utrecht University Repository (Utrecht University) · doi:10.33540/253
Self-organization and evolution of function and structure in cultured neuronal networksPreprint
Ballesteros-Esteban, L. M., Leyva, I., Almendral, J. A., & Sendiña–Nadal, I. (2023) · Research Square · doi:10.21203/rs.3.rs-2705207/v1
Barta, T., Novelli, L., Georgiou‐Karistianis, N., Stout, J. C., Loi, S. M., Glikmann-Johnston, Y., & Razi, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.04.668558
Depression reduces structurally informed network flexibility in premanifest Huntington’s diseasePreprint
Barta, T., GradDipAdvPsych, Greaves, M. D., GradDipAdvPsych, Novelli, L., Glikmann‐Johnston, Y., & Razi, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.25.678149
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Ozturk, H. H., Sezen, S., Çağlar, E., Ulkar, S. E., & Açıkel, S. B. (2026) · Journal of Attention Disorders · doi:10.1177/10870547251408127
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Chabran, E. (2019) · theses.fr (ABES) · doi:10.70675/0e043513z1fabz4531za279z1f82876b9864
Xu, K., Wang, Z. T., Liu, F., Liu, L., Zhou, M., Wang, Y., Yin, D., & Fang, F. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.112050
Self-citationZhang, J., Wu, X.-R., Lian, Z., Cheng, Z., Peng, S., Liu, Y., Kuang, N., Becker, B., Sahakian, B. J., Feng, J., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10563433/v1
Metadata
- Authors
- Sun, Y., Yin, Q., Fang, R., Yan, X., Wang, Y., Bezerianos, A., Tang, H., Miao, F., & Sun, J.
- Affiliations
- National University of Singapore (SG)
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Tang, Huidong
- Miao, Fei
- Sun, Junfeng
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-05-07
- Volume
- 9
- Issue
- 5
- Pages
- e96505
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4013022
- OpenAlex
- W1998486151
- Cited by
- 122
- References
- 83
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 11 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 12 · 2019: 10 · 2018: 14 · 2017: 11 · 2016: 11 · 2015: 12 · 2014: 3
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Shanghai Jiao Tong University (YG2012MS09)
- National Key Research and Development Program of China (2011CB013304)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- Alzheimer's disease, amnestic mild cognitive impairment, functional connectivity, structural connectivity, small-world networks, brain network topology, modular organization, healthy aging, dementia continuum, diffusion tensor tractography
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Amnesia, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Neuropsychological Tests, Disease Progression, Diffusion Tensor Imaging, Neuroimaging, Cognitive Dysfunction
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