Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease. Issue 6 (17th February 2023)
- Record Type:
- Journal Article
- Title:
- Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease. Issue 6 (17th February 2023)
- Main Title:
- Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease
- Authors:
- Hatch, Kathryn S.
Gao, Si
Ma, Yizhou
Russo, Alessandro
Jahanshad, Neda
Thompson, Paul M.
Adhikari, Bhim M.
Bruce, Heather
Van der Vaart, Andrew
Sotiras, Aristeidis
Kvarta, Mark D.
Nichols, Thomas E.
Schmaal, Lianne
Hong, L. Elliot
Kochunov, Peter - Abstract:
- Abstract: Metabolic illnesses (MET) are detrimental to brain integrity and are common comorbidities in patients with mental illnesses, including major depressive disorder (MDD). We quantified effects of MET on standard regional brain morphometric measures from 3D brain MRI as well as diffusion MRI in a large sample of UK BioBank participants. The pattern of regional effect sizes of MET in non‐psychiatric UKBB subjects was significantly correlated with the spatial profile of regional effects reported by the largest meta‐analyses in MDD but not in bipolar disorder, schizophrenia or Alzheimer's disease. We used a regional vulnerability index (RVI) for MET (RVI‐MET) to measure individual's brain similarity to the expected patterns in MET in the UK Biobank sample. Subjects with MET showed a higher effect size for RVI‐MET than for any of the individual brain measures. We replicated elevation of RVI‐MET in a sample of MDD participants with MET versus non‐MET. RVI‐MET scores were significantly correlated with the volume of white matter hyperintensities, a neurological consequence of MET and age, in both groups. Higher RVI‐MET in both samples was associated with obesity, tobacco smoking and frequent alcohol use but was unrelated to antidepressant use. In summary, MET effects on the brain were regionally specific and individual similarity to the pattern was more strongly associated with MET than any regional brain structural metric. Effects of MET overlapped with the reported brainAbstract: Metabolic illnesses (MET) are detrimental to brain integrity and are common comorbidities in patients with mental illnesses, including major depressive disorder (MDD). We quantified effects of MET on standard regional brain morphometric measures from 3D brain MRI as well as diffusion MRI in a large sample of UK BioBank participants. The pattern of regional effect sizes of MET in non‐psychiatric UKBB subjects was significantly correlated with the spatial profile of regional effects reported by the largest meta‐analyses in MDD but not in bipolar disorder, schizophrenia or Alzheimer's disease. We used a regional vulnerability index (RVI) for MET (RVI‐MET) to measure individual's brain similarity to the expected patterns in MET in the UK Biobank sample. Subjects with MET showed a higher effect size for RVI‐MET than for any of the individual brain measures. We replicated elevation of RVI‐MET in a sample of MDD participants with MET versus non‐MET. RVI‐MET scores were significantly correlated with the volume of white matter hyperintensities, a neurological consequence of MET and age, in both groups. Higher RVI‐MET in both samples was associated with obesity, tobacco smoking and frequent alcohol use but was unrelated to antidepressant use. In summary, MET effects on the brain were regionally specific and individual similarity to the pattern was more strongly associated with MET than any regional brain structural metric. Effects of MET overlapped with the reported brain differences in MDD, likely due to higher incidence of MET, smoking and alcohol use in subjects with MDD. Abstract : Metabolic illnesses (MET) are detrimental to brain integrity and are common comorbidities in patients with mental illnesses, including major depressive disorder. We propose a regional vulnerability index for MET (RVI‐MET) to measure each an individual's brain similarity to the expected patterns in MET found by analysis of large scale meta‐data … (more)
- Is Part Of:
- Human brain mapping. Volume 44:Issue 6(2023)
- Journal:
- Human brain mapping
- Issue:
- Volume 44:Issue 6(2023)
- Issue Display:
- Volume 44, Issue 6 (2023)
- Year:
- 2023
- Volume:
- 44
- Issue:
- 6
- Issue Sort Value:
- 2023-0044-0006-0000
- Page Start:
- 2636
- Page End:
- 2653
- Publication Date:
- 2023-02-17
- Subjects:
- brain imaging -- major depressive disorder -- metabolic disorders -- regional vulnerability index
Brain mapping -- Periodicals
611.81 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hbm.26235 ↗
- Languages:
- English
- ISSNs:
- 1065-9471
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.031000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26388.xml