Aberrant topographical organization in gray matter structural network in late life depression: a graph theoretical analysis
Open accessAbstract
BACKGROUND: Although previous studies on late life depression (LLD) have shown morphological abnormalities in frontal-striatal-temporal areas, alterations in coordinated patterns of structural brain networks in LLD are still poorly understood. The aim of this study was to investigate differences in gray matter structural brain network between LLD and healthy controls. METHODS: We used gray matter volume measurement from magnetic resonance imaging to investigate large-scale structural brain networks in 37 LLD patients and 40 normal controls. Brain networks were constructed by thresholding gray matter volume correlation matrices of 90 regions and analyzed using graph theoretical approaches. RESULTS: Although both LLD and control groups showed a small-world organization of group networks, there were no differences in the clustering coefficient, the path length, and the small-world index across a wide range of network density. Compared with controls, LLD patients showed decreased nodal betweenness in the medial orbitofrontal and angular gyrus regions. In addition, LLD patients showed hub regions in superior temporal gyrus and middle cingulate gyrus, and putamen. On the other hand, the control group showed hub regions in the medial orbitofrontal gyrus, middle cingulate gyrus, and cuneus. CONCLUSION: Our findings suggest that the gray matter structural networks are not globally but regionally altered in LLD patients. This multivariate structural analysis using graph theory might provide a more appropriate paradigm for understanding complicated neurobiological mechanism of LLD.
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In depression, connectivity within the DMN and fronto-thalamo-caudate regions was reduced, community structure was rearranged, and hubs were altered.
“In depression, connectivity within the default mode network and fronto-thalamo-caudate regions was reduced, 57 community structure was rearranged, 65 and hubs were altered.64”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [64]
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- Authors
- Lim, H. K., Jung, W. S., & Aizenstein, H. J.
- Affiliations
- University of Pittsburgh (US)
- The Catholic University of Korea St. Vincent's Hospital (KR)
- Corresponding author
- Aizenstein, Howard J
- Venue
- International Psychogeriatrics
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 25
- Issue
- 12
- Pages
- 1929-1940
- ISSN
- 1041-6102 (ISSN-L)
- OpenAlex
- W2325384154
- Cited by
- 44
- References
- 43
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 6 · 2019: 5 · 2018: 4 · 2017: 5 · 2016: 3 · 2015: 3 · 2014: 4 · 2013: 1
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Psychogeriatrics (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- geriatric depression, small-world networks, hub regions, angular gyrus, superior temporal gyrus, middle cingulate gyrus, putamen, network topology
- MeSH terms
- Age Factors, Aged, Brain, Depressive Disorder, Major, Major Depressive Disorder, Female, Frontal Lobe, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Psychiatric Status Rating Scales, Putamen, Temporal Lobe, Case-Control Studies, Neuroimaging
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