» Articles » PMID: 36258017

Depressive Symptoms in Cognitively Unimpaired Older Adults Are Associated with Lower Structural and Functional Integrity in a Frontolimbic Network

Abstract

Subclinical depressive symptoms are associated with increased risk of Alzheimer's disease (AD), but the brain mechanisms underlying this relationship are still unclear. We aimed to provide a comprehensive overview of the brain substrates of subclinical depressive symptoms in cognitively unimpaired older adults using complementary multimodal neuroimaging data. We included cognitively unimpaired older adults from the baseline data of the primary cohort Age-Well (n = 135), and from the replication cohort ADNI (n = 252). In both cohorts, subclinical depressive symptoms were assessed using the 15-item version of the Geriatric Depression Scale; based on this scale, participants were classified as having depressive symptoms (>0) or not (0). Voxel-wise between-group comparisons were performed to highlight differences in gray matter volume, glucose metabolism and amyloid deposition; as well as white matter integrity (only available in Age-Well). Age-Well participants with subclinical depressive symptoms had lower gray matter volume in the hippocampus and lower white matter integrity in the fornix and the posterior parts of the cingulum and corpus callosum, compared to participants without symptoms. Hippocampal atrophy was recovered in ADNI, where participants with subclinical depressive symptoms also showed glucose hypometabolism in the hippocampus, amygdala, precuneus/posterior cingulate cortex, medial and dorsolateral prefrontal cortex, insula, and temporoparietal cortex. Subclinical depressive symptoms were not associated with brain amyloid deposition in either cohort. Subclinical depressive symptoms in ageing are linked with neurodegeneration biomarkers in the frontolimbic network including brain areas particularly sensitive to AD. The relationship between depressive symptoms and AD may be partly underpinned by neurodegeneration in common brain regions.

Citing Articles

Exploration of brain imaging biomarkers in subthreshold depression patients across different ages: an ALE meta-analysis based on MRI studies.

Zhao B, Liu Z, He Y, Hu Y, Li Z, Cao L BMC Psychiatry. 2025; 25(1):191.

PMID: 40033236 PMC: 11874789. DOI: 10.1186/s12888-025-06495-y.


Alzheimer's disease with depression: clinical characteristics and potential mechanisms involving orexin and brain atrophy.

Li J, Lian T, Li J, Wei N, Guo P, He M Transl Psychiatry. 2025; 15(1):66.

PMID: 39994172 PMC: 11850912. DOI: 10.1038/s41398-025-03251-4.


Depressive symptoms in older adults are associated with changes in stress-related markers, functional connectivity and brain volume.

Touron E, de Flores R, Coulbault L, Palix C, Chocat A, Kuhn E Alzheimers Res Ther. 2025; 17(1):9.

PMID: 39762947 PMC: 11702152. DOI: 10.1186/s13195-024-01643-0.


Sex differences in the association between repetitive negative thinking and neurofilament light.

Lau Y, Bansal A, Palix C, Demnitz-King H, Wirth M, Klimecki O Npj Ment Health Res. 2024; 3(1):53.

PMID: 39528809 PMC: 11555038. DOI: 10.1038/s44184-024-00093-8.


The Association Between Distinct Delusional Ideations and Depressive Symptoms in Alzheimer's Disease: A Re-Analysis of CATIE-AD.

Nagata T, Nakajima S, Kito S, Shinagawa S J Alzheimers Dis. 2024; 101(2):661-670.

PMID: 39213078 PMC: 11492010. DOI: 10.3233/JAD-240702.


References
1.
Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

2.
Falangola M, Jensen J, Tabesh A, Hu C, Deardorff R, Babb J . Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer's disease. Magn Reson Imaging. 2013; 31(6):840-6. PMC: 5347444. DOI: 10.1016/j.mri.2013.02.008. View

3.
Sexton C, Mackay C, Ebmeier K . A systematic review and meta-analysis of magnetic resonance imaging studies in late-life depression. Am J Geriatr Psychiatry. 2013; 21(2):184-95. DOI: 10.1016/j.jagp.2012.10.019. View

4.
Ezzati A, Katz M, Derby C, Zimmerman M, Lipton R . Depressive Symptoms Predict Incident Dementia in a Community Sample of Older Adults: Results From the Einstein Aging Study. J Geriatr Psychiatry Neurol. 2019; :891988718824036. PMC: 7201340. DOI: 10.1177/0891988718824036. View

5.
Breukelaar I, Antees C, Grieve S, Foster S, Gomes L, Williams L . Cognitive control network anatomy correlates with neurocognitive behavior: A longitudinal study. Hum Brain Mapp. 2016; 38(2):631-643. PMC: 5347905. DOI: 10.1002/hbm.23401. View