White-matter tract integrity in late-life depression: associations with severity and cognition

@article{Charlton2013WhitematterTI,
  title={White-matter tract integrity in late-life depression: associations with severity and cognition},
  author={Rebecca Ann Charlton and Melissa Lamar and Aifeng Zhang and S Yang and Olusola Ajilore and A. Kumar},
  journal={Psychological Medicine},
  year={2013},
  volume={44},
  pages={1427 - 1437}
}
Background Although significant changes in both gray and white matter have been noted in late-life depression (LLD), the pathophysiology of implicated white-matter tracts has not been fully described. In this study we examined the integrity of specific white-matter tracts in LLD versus healthy controls (HC). Method Participants aged ⩾60 years were recruited from the community. The sample included 23 clinically diagnosed individuals with LLD and 23 HC. White-matter integrity metrics [fractional… 
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Depressive symptoms in AD patients may be involved in greater microstructural abnormalities of frontolimbic connectivity and myelin injury in the bilateral CB and right UF that might contribute to the pathophysiology of depressive symptoms inAD.
Brain connectivity in late-life depression and aging revealed by network analysis.
  • R. CharltonA. Leow Anand R. Kumar
  • Psychology, Medicine
    The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
  • 2015
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TLDR
Results call for a careful stratification of clinically meaningful subgroups if investigating participants with depression, and the benefit of novel imaging methods for reconstruction of specific pathways and for a neurobiologically meaningful interpretation of the data is clearly shown.
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TLDR
The data suggest that both cortical and subcortical alterations may interact along the progression of MDD, and further knowledge brought by neuroimaging studies, through the integration of multimodal techniques, may help to improve the accuracy of diagnosis, disease monitoring and treatment response in MDD.
Brain Network Dysfunction in Late-Life Depression
TLDR
This work used network dysfunction model as a conceptual framework for reviewing recent neuroimaging findings in late-life depression and focused on 4 major neurocircuits that have been shown to be involved in LLD: default mood network, cognitive control network, affective/frontolimbic network, and corticostriatal circuits.
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