Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease
Open accessAbstract
Recent findings suggest that Alzheimer's disease (AD) is a disconnection syndrome characterized by abnormalities in large-scale networks. However, the alterations that occur in network topology during the prodromal stages of AD, particularly in patients with stable mild cognitive impairment (MCI) and those that show a slow or faster progression to dementia, are still poorly understood. In this study, we used graph theory to assess the organization of structural MRI networks in stable MCI (sMCI) subjects, late MCI converters (lMCIc), early MCI converters (eMCIc), and AD patients from 2 large multicenter cohorts: ADNI and AddNeuroMed. Our findings showed an abnormal global network organization in all patient groups, as reflected by an increased path length, reduced transitivity, and increased modularity compared with controls. In addition, lMCIc, eMCIc, and AD patients showed a decreased path length and mean clustering compared with the sMCI group. At the local level, there were nodal clustering decreases mostly in AD patients, while the nodal closeness centrality detected abnormalities across all patient groups, showing overlapping changes in the hippocampi and amygdala and nonoverlapping changes in parietal, entorhinal, and orbitofrontal regions. These findings suggest that the prodromal and clinical stages of AD are associated with an abnormal network topology.
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Microstructural damage in the white matter of Alzheimer's disease patients has been reported in the corpus callosum, fornix, and cingulum.
“Microstructural damage in the white matter of AD patients has been reported in the corpus callosum, fornix, and cingulum. 19 , 20 , 21”
From Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes (2025) · cites this paper as [20]
The Discussion (page unavailable) says that white-matter integrity loss or disruption of white-matter fibers has previously been observed in MCI and AD patients. It does not locate that damage in the corpus callosum, fornix, and cingulum; the cited paper’s reference-list entry about cingulum imaging does not establish the full three-tract claim. (LLM, conf=0.83)
Experimental — accuracy not yet measuredWhite matter microstructural damage in Alzheimer's disease is associated with disrupted structural connectivity and impaired network functions.
“This damage is associated with disrupted structural connectivity and impaired network functions. 19 , 20 , 21”
From Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes (2025) · cites this paper as [20]
The Discussion reports abnormal network organization in AD patients and interprets increased path length as less efficient communication between brain regions. But the Methods describe networks built from cortical thickness and subcortical volume, not measures of white-matter microstructural damage. The paper therefore supports disrupted network organization, but does not establish the claimed association with that damage or directly measure impaired network function. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIncreased characteristic path length has also been observed in patients with AD using gray matter structural connectomes and EEG-based networks.
“Increased characteristic path length has also been observed in patients with AD using gray matter structural connectomes (Kim et al., 2016; Pereira et al., 2016) and electroencephalography (EEG)-based networks (Stam et al., 2007).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Pereira et al., 2016
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“Key words: closeness centrality, clustering, modularity, structural covariance networks, transitivity”
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“Increased characteristic path length has also been observed in patients with AD using gray matter structural connectomes (Kim et al., 2016; Pereira et al., 2016) and electroencephalography (EEG)-based networks (Stam et al.”
BackgroundAl‐Amin, M. M., Kim, B., Karahan, H., Tate, M. D., Walsh, S. P., Puntambekar, S. S., Bissel, S. J., Lamb, B. T., Wang, N., & Kim, J. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70791 · Cited by 6 · see citing works
- Authors
- Pereira, J. B., Mijalkov, M., Kakaei, E., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Spenger, C., Lovestone, S., Simmons, A., Wahlund, L.-O., Volpe, G., & Westman, E.
- Affiliations
- Karolinska Institutet (SE)
- Inserm (FR)
- Aristotle University of Thessaloniki (GR)
- Medical University of Lodz (PL)
- University of Eastern Finland (FI)
- Karolinska University Hospital (SE)
- Bilkent University (TR)
- Corresponding author
- Pereira, Joana B.
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-05-13
- Volume
- 26
- Issue
- 8
- Pages
- 3476-3493
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4961019
- OpenAlex
- W2374330807
- Cited by
- 142
- References
- 15
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 14 · 2023: 16 · 2022: 15 · 2021: 21 · 2020: 20 · 2019: 15 · 2018: 15 · 2017: 10
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Cerebral Cortex (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Bilkent University Institutional Repository (Bilkent University) (submittedVersion, other-oa)
- UEF eRepo (University of Eastern Finland) (submittedVersion, cc-by)
- HighWire Press Open Archive (submittedVersion)
- Funders
- U.S. Department of Defense (U01 AG024904, W81XWH, W81XWH-12-2-, W81XWH-12, AG024904)
- Alzheimer's Association (U01 AG024904, W81XWH-12-2-0012)
- Bristol-Myers Squibb (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Eli Lilly and Company (FP6-2004-LIFESCIHEALTH-5, U01 AG024904, AG024904, W81XWH-12-2-0012)
- Pfizer (AG024904, W81XWH-12-2-0012, U01 AG024904)
- Biogen (W81XWH-12-2-0012, U01 AG024904, AG024904)
- F. Hoffmann-La Roche (W81XWH-12-2-0012, AG024904, U01 AG024904)
- Medpace (U01 AG024904)
- Meso Scale Diagnostics (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Synarc (U01 AG024904)
- Alzheimer's Disease Neuroimaging Initiative (W81XWH-12-2–0012, U01AG024904, AG024904, W81XWH-12-2-)
- BioClinica (U01 AG024904, W81XWH-12-2-0012, AG024904)
- Novartis Pharmaceuticals Corporation (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Northern California Institute for Research and Education (U01 AG024904, W81XWH-12-2-0012)
- European Commission (U01 AG024904, FP7-PEOPLE-2012-IEF, W81XWH-12-2-0012, FP6-2004-LIFESCIHEALTH-5, 328758)
- Stiftelsen för Strategisk Forskning
- Eisai (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Hjärnfonden
- Karolinska Institutet
- Servier (AG024904, W81XWH-12-2-0012, U01 AG024904)
- IXICO (AG024904, W81XWH-12-2-0012, U01 AG024904)
- National Institutes of Health (5u01ag024904-10, W81XWH, W81XWH-12-2-0012, U01-AG024904, AG024904)
- Genentech (W81XWH-12-2-0012, AG024904, U01 AG024904)
- University of California, Los Angeles
- University of California, San Diego
- Canadian Institutes of Health Research (U01 AG024904, W81XWH-12-2-0012)
- National Institute on Aging (U01-AG-024904)
- FP7 People: Marie-Curie Actions (FP7-PEOPLE-2012-IEF)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- Alzheimer's disease, mild cognitive impairment, network topology, structural connectome, graph theory, path length, clustering coefficient, modularity, node centrality, hippocampus, amygdala, entorhinal cortex, orbitofrontal cortex, parietal cortex, disconnection syndrome, prodromal Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Cohort Studies, Disease Progression, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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