4.7 Article

Associations between depression, lifestyle and brain structure: A longitudinal MRI study

期刊

NEUROIMAGE
卷 231, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.117834

关键词

Depression; Lifestyle; Brain structure; Longitudinal

资金

  1. Lifebrain - European Union [732592]
  2. Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw) [10-000-1002]
  3. VU University Medical Center
  4. GGZ inGeest
  5. Leiden University Medical Center
  6. Leiden University
  7. GGZ Rivierduinen
  8. University Medical Center Groningen
  9. University of Groningen
  10. Lentis
  11. GGZ Friesland
  12. GGZ Drenthe
  13. Rob Giel Onderzoekscentrum

向作者/读者索取更多资源

Depression is associated with decreased regional grey matter volume, while BMI, severity of depression symptoms, and alcohol consumption are also related to brain structure. However, these associations are independent, and there were no observed longitudinal relationships between depression, disease burden, lifestyle factors, and changes in brain structure over time.
Background: Depression has been associated with decreased regional grey matter volume, which might partly be explained by an unhealthier lifestyle in depressed individuals which has been ignored by most earlier studies. Also, the longitudinal nature of depression, lifestyle and brain structure associations is largely unknown. This study investigates the relationship of depression and lifestyle with brain structure cross-sectionally and longitudinally over up to 9 years. Methods: We used longitudinal structural MRI data of persons with depression and/or anxiety disorders and controls (N-unique participants = 347, N-observations = 609). Cortical thickness of medial orbitofrontal cortex (mOFC), rostral anterior cingulate cortex (rACC) and hippocampal volume were derived using FreeSurfer. Using Generalized Estimating Equations, we investigated associations of depression and lifestyle (Body mass index (BMI), smoking, alcohol consumption, physical activity and sleep duration) with brain structure and change in brain structure over 2 (n = 179) and 9 years (n = 82). Results: Depression status (B =-.053, p = .002) and severity (B =-.002, p = .002) were negatively associated with rACC thickness. mOFC thickness was negatively associated with BMI (B =-.004, p < .001) and positively with moderate alcohol consumption (B = .030, p = .009). All associations were independent of each other. No associations were observed between (change in) depression, disease burden or lifestyle factors with brain change over time. Conclusions: Depressive symptoms and diagnosis were independently associated with thinner rACC, BMI with thinner mOFC, and moderate alcohol consumption with thicker mOFC. No longitudinal associations were observed, suggesting that regional grey matter alterations are a long-term consequence or vulnerability indicator for depression but not dynamically or progressively related to depression course trajectory.

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