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Neuroimaging features of depression–frailty phenotype in older adults: a pilot study

Published online by Cambridge University Press:  20 February 2023

Ethan Shuster
Affiliation:
UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
Amy E. Miles
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada
Lindsay K. Heyland
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada
Navona Calarco
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada
Jerrold Jeyachandra
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada
Salim Mansour
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada
Aristotle N. Voineskos
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada Department of Psychiatry, University of Toronto, Toronto, ON, Canada
David C. Steffens
Affiliation:
Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
Yuliya S. Nikolova
Affiliation:
Centre for Addiction and Mental Health, Toronto, ON, Canada Department of Psychiatry, University of Toronto, Toronto, ON, Canada
Breno S. Diniz*
Affiliation:
UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
*
Correspondence should be addressed to: Breno S. Diniz, Department of Psychiatry, University of Connecticut School of Medicine, 263 Farmington Ave, Farmington, CT 06070, USA. Email: diniz@uchc.edu.

Abstract

Objective:

Frailty and late-life depression (LLD) often coexist and share several structural brain changes. We aimed to study the joint effect LLD and frailty have on brain structure.

Design:

Cross-sectional study

Setting:

Academic Health Center

Participants:

Thirty-one participants (14 LLD+Frail and 17 Never-depressed+Robust)

Measurement:

LLD was diagnosed by a geriatric psychiatrist according to the Diagnostic and Statistical Manual of Mental Disorders 5th edition for single episode or recurrent major depressive disorder without psychotic features. Frailty was assessed using the FRAIL scale (0–5), classifying subjects as robust (0), prefrail (1–2), and frail (3–5). Participants underwent T1-weighted magnetic resonance imaging in which covariance analysis of subcortical volumes and vertex-wise analysis of cortical thickness values were performed to access changes in grey matter. Participants also underwent diffusion tensor imaging in which tract-based spatial statistics was used with voxel-wise statistical analysis on fractional anisotropy and mean diffusion values to assess changes in white matter (WM).

Results:

We found a significant difference in mean diffusion values (48,225 voxels; peak voxel: pFWER=0.005, MINI coord. (X,Y,Z) = −26,−11,27) between the LLD-Frail group and comparison group. The corresponding effect size (f=0.808) was large.

Conclusion:

We showed the LLD+Frailty group is associated with significant microstructural changes within WM tracts compared to Never-depressed+Robust individuals. Our findings indicate the possibility of a heightened neuroinflammatory burden as a potential mechanism underlying the co-occurrence of both conditions and the possibility of a depression–frailty phenotype in older adults.

Type
Original Research Article
Copyright
© International Psychogeriatric Association 2023

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References

Aizenstein, H. J et al. (2016). Vascular depression consensus report—A critical update. BMC Medicine, 14, 161. https://doi.org/10.1186/s12916-016-0720-5 CrossRefGoogle ScholarPubMed
Ampo, E., Mendes-Silva, A. P., Goncalves, V., Bartley, J. M., Kuchel, G. A. and Diniz, B. S. (2022). Increased levels of circulating cell-free mtDNA in the plasma of subjects with late-life depression and frailty: a preliminary study. The American Journal of Geriatric Psychiatry, 30, 332337. https://doi.org/10.1016/j.jagp.2021.07.012 CrossRefGoogle ScholarPubMed
American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, 5th edn. DSM-5. Arlington, VA: American Psychiatric Association Google Scholar
Benjamin, S. and Steffens, D. C. (2011). Structural neuroimaging of geriatric depression. The Psychiatric Clinics of North America, 34, 423ix. https://doi.org/10.1016/j.psc.2011.02.001 CrossRefGoogle ScholarPubMed
Brown, P. J. et al. (2020). Frailty and its correlates in adults with late life depression. The American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, 28, 145154. https://doi.org/10.1016/j.jagp.2019.10.005 CrossRefGoogle ScholarPubMed
Charlton, R. A., Lamar, M., Zhang, A., Yang, S., Ajilore, O. and Kumar, A. (2014). White-matter tract integrity in late-life depression: associations with severity and cognition. Psychological Medicine, 44, 14271437. https://doi.org/10.1017/S0033291713001980 CrossRefGoogle ScholarPubMed
Chen, P. S., McQuoid, D. R., Payne, M. E. and Steffens, D. C. (2006). White matter and subcortical gray matter lesion volume changes and late-life depression outcome: a 4-year magnetic resonance imaging study. International Psychogeriatrics, 18, 445456. https://doi.org/10.1017/S1041610205002796 CrossRefGoogle ScholarPubMed
Chen, W.-T. et al. (2015). Reduced cerebellar gray matter is a neural signature of physical frailty. Human Brain Mapping, 36, 36663676. https://doi.org/10.1002/hbm.22870 CrossRefGoogle ScholarPubMed
Desikan, R. S. et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31, 968980. https://doi.org/10.1016/j.neuroimage.2006.01.021 CrossRefGoogle ScholarPubMed
Diniz, B. S. et al. (2022). Cognitive frailty is associated with elevated proinflammatory markers and a higher risk of mortality. The American Journal of Geriatric Psychiatry, 30, 825833. https://doi.org/10.1016/j.jagp.2022.01.012 CrossRefGoogle Scholar
Fischl, B. et al. (2004). Automatically parcellating the human cerebral cortex. Cerebral Cortex, 14, 1122. https://doi.org/10.1093/cercor/bhg087 CrossRefGoogle ScholarPubMed
Kant, I. M. J. et al. (2018). The association between brain volume, cortical brain infarcts, and physical frailty. Neurobiology of Aging, 70, 247253. https://doi.org/10.1016/j.neurobiolaging.2018.06.032 CrossRefGoogle ScholarPubMed
Kojima, G. (2018). Frailty defined by FRAIL scale as a predictor of mortality: a systematic review and meta-analysis. Journal of the American Medical Directors Association, 19, 480483. https://doi.org/10.1016/j.jamda.2018.04.006 CrossRefGoogle ScholarPubMed
Levis, B., Benedetti, A., Thombs, B. D. and DEPRESsion Screening Data (DEPRESSD) Collaboration. (2019). Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ (Clinical Research Ed.), 365, l1476. https://doi.org/10.1136/bmj.l1476 Google ScholarPubMed
López-Sanz, D. et al. (2018). Scoping review of neuroimaging studies investigating frailty and frailty components. Frontiers in Medicine, 5, 284. https://doi.org/10.3F389/fmed.2018.00284 CrossRefGoogle ScholarPubMed
Mayerl, H., Stolz, E. and Freidl, W. (2020). Frailty and depression: reciprocal influences or common causes? Social Science & Medicine, 263, 113273. https://doi.org/10.1016/j.socscimed.2020.113273 CrossRefGoogle ScholarPubMed
Montgomery, S. A. and Asberg, M. (1979). A new depression scale designed to be sensitive to change. The British Journal of Psychiatry: The Journal of Mental Science, 134, 382389. https://doi.org/10.1192/bjp.134.4.382 CrossRefGoogle ScholarPubMed
Nasreddine, Z. S. et al. (2005). The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695699. https://doi.org/10.1111/j.1532-5415.2005.53221.x CrossRefGoogle Scholar
O’Donnell, L. J. and Westin, C.-F. (2011). An introduction to diffusion tensor image analysis. Neurosurgery Clinics of North America, 22, 185196, viii. https://doi.org/10.1016/j.nec.2010.12.004 CrossRefGoogle ScholarPubMed
Oude Voshaar, R. C. et al. (2021). A 6-year prospective clinical cohort study on the bidirectional association between frailty and depressive disorder. International Journal of Geriatric Psychiatry, 36, 16991707. https://doi.org/10.1002/gps.5588 CrossRefGoogle ScholarPubMed
Randolph, C., Tierney, M. C., Mohr, E. and Chase, T. N. (1998). The repeatable battery for the assessment of neuropsychological status (RBANS): preliminary clinical validity. Journal of Clinical and Experimental Neuropsychology, 20, 310319. https://doi.org/10.1076/jcen.20.3.310.823 CrossRefGoogle ScholarPubMed
Reppermund, S. et al. (2014). White matter integrity and late-life depression in community-dwelling individuals: diffusion tensor imaging study using tract-based spatial statistics. The British Journal of Psychiatry: The Journal of Mental Science, 205, 315320. https://doi.org/10.1192/bjp.bp.113.142109 CrossRefGoogle ScholarPubMed
Schaer, M., Cuadra, M. B., Tamarit, L., Lazeyras, F., Eliez, S. and Thiran, J.-P. (2008). A surface-based approach to quantify local cortical gyrification. IEEE Transactions on Medical Imaging, 27, 161170. https://doi.org/10.1109/TMI.2007.903576 CrossRefGoogle ScholarPubMed
Smith, S. M. et al. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23, S208S219. https://doi.org/10.1016/j.neuroimage.2004.07.051 CrossRefGoogle ScholarPubMed
Soysal, P. et al. (2017). Relationship between depression and frailty in older adults: a systematic review and meta-analysis. Ageing Research Reviews, 36, 7887. https://doi.org/10.1016/j.arr.2017.03.005 CrossRefGoogle ScholarPubMed
Tian, Q., Williams, O. A., Landman, B. A., Resnick, S. M. and Ferrucci, L. (2020). Microstructural neuroimaging of frailty in cognitively normal older adults. Frontiers in Medicine, 7, 546344. https://doi.org/10.3389/fmed.2020.546344 CrossRefGoogle ScholarPubMed
Wan, M. et al. (2020). Volumetric and diffusion abnormalities in subcortical nuclei of older adults with cognitive frailty. Frontiers in Aging Neuroscience, 12, 202. https://doi.org/10.3389/fnagi.2020.00202 CrossRefGoogle ScholarPubMed
Wen, M.-C., Steffens, D. C., Chen, M.-K. and Zainal, N. H. (2014). Diffusion tensor imaging studies in late-life depression: systematic review and meta-analysis. International Journal of Geriatric Psychiatry, 29, 11731184. https://doi.org/10.1002/gps.4129 CrossRefGoogle ScholarPubMed
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