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Cited by 132Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Single-Subject Grey Matter Graphs in Alzheimer's Disease

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Tijms, Betty M., Möller, Christiane, Vrenken, Hugo, Wink, Alle Meije, de Haan, Willem, van der Flier, Wiesje M., Stam, Cornelis J., Scheltens, Philip +1 more·2013·PLoS ONE
DOI 10.1371/journal.pone.0058921PMC PMC3594199
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Abstract

Coordinated patterns of cortical morphology have been described as structural graphs and previous research has demonstrated that properties of such graphs are altered in Alzheimer's disease (AD). However, it remains unknown how these alterations are related to cognitive deficits in individuals, as such graphs are restricted to group-level analysis. In the present study we investigated this question in single-subject grey matter networks. This new method extracts large-scale structural graphs where nodes represent small cortical regions that are connected by edges when they show statistical similarity. Using this method, unweighted and undirected networks were extracted from T1 weighted structural magnetic resonance imaging scans of 38 AD patients (19 female, average age 72±4 years) and 38 controls (19 females, average age 72±4 years). Group comparisons of standard graph properties were performed after correcting for grey matter volumetric measurements and were correlated to scores of general cognitive functioning. AD networks were characterised by a more random topology as indicated by a decreased small world coefficient (p = 3.53×10(-5)), decreased normalized clustering coefficient (p = 7.25×10(-6)) and decreased normalized path length (p = 1.91×10(-7)). Reduced normalized path length explained significantly (p = 0.004) more variance in measurements of general cognitive decline (32%) in comparison to volumetric measurements (9%). Altered path length of the parahippocampal gyrus, hippocampus, fusiform gyrus and precuneus showed the strongest relationship with cognitive decline. The present results suggest that single-subject grey matter graphs provide a concise quantification of cortical structure that has clinical value, which might be of particular importance for disease prognosis. These findings contribute to a better understanding of structural alterations and cognitive dysfunction in AD.

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  • Some studies have observed conflicting results, including lower characteristic path length in DTI, gray matter, fMRI, EEG, and MEG connectomes in patients with AD.

    “However, some studies have observed conflicting results, including lower characteristic path length in DTI (Daianu et al., 2013), gray matter (Tijms, Moller et al., 2013), fMRI (Sanz-Arigita et al., 2010), EEG (de Haan et al., 2009), and magneto-encephalogram (MEG; Stam et al., 2009) connectomes in patients with AD.”

    From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Tijms, Moller et al., 2013

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Authors
Tijms, B. M., Möller, C., Vrenken, H., Wink, A. M., de Haan, W., van der Flier, W. M., Stam, C. J., Scheltens, P., & Barkhof, F.
Affiliations
Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
Corresponding author
Tijms, Betty M.
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2013-03-11
Volume
8
Issue
3
Pages
e58921
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0058921
PMC
PMC3594199
OpenAlex
W2058087702
Cited by
132
References
102
Citations by year
2026: 2 · 2025: 6 · 2024: 12 · 2023: 8 · 2022: 11 · 2021: 15 · 2020: 11 · 2019: 6 · 2018: 18 · 2017: 11 · 2016: 10 · 2015: 12 · 2014: 7 · 2013: 3
FWCI
5.85
Type
journal article
Language
en
Update notices
correction (2013-09-09)
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • Stichting Dioraphte
  • Alzheimer Nederland
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 › Physiology › Alzheimer's disease research and treatments
Keywords
Alzheimer's disease, structural graph, small-world property, path length, clustering coefficient, cognitive decline, cortical morphology, hippocampus, parahippocampal gyrus, precuneus, fusiform gyrus, gray matter volume, disease prognosis
MeSH terms
Aged, Alzheimer Disease, Brain Mapping, Electroencephalography, Female, Humans, Magnetic Resonance Imaging, Male, Psychiatric Status Rating Scales, Severity of Illness Index, Case-Control Studies, Neuroimaging

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