Association between change in brain gray matter volume, cognition, and depression severity: Pre- and post- antidepressant pharmacotherapy for late-life depression

Droppa, K.; Karim, Helmet T.; Tudorascu, Dana L.; Reynolds, Charles F.; Aizenstein, Howard; Butters, Meryl A.

doi:10.1016/j.jpsychires.2017.08.002

Cited by 17 publications

(9 citation statements)

References 51 publications

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“…Of the 33 T1 studies, 7 used a longitudinal design in participants with LLD and an HC group or LLD only [ 26 – 32 ]. Four of these studies reported significant positive associations between the bilateral hippocampal volumes and changes in the Mini-Mental State Examination (MMSE) scores during follow-up periods lasting from 21 months to 4 years [ 27 , 30 – 32 ].…”

Section: Resultsmentioning

confidence: 99%

“…These studies also evaluated the relationship between GM volumes and specific cognitive domains including tests of processing speed [ 27 ], visuospatial memory [ 26 ], response inhibition and set-shifting [ 26 ], and verbal fluency and memory [ 29 ]. Hou et al (2012) showed that larger right hippocampal volume predicted improved performance on the Symbol Digit Modalities Test over a 21-month period [ 27 ].…”

Section: Resultsmentioning

confidence: 99%

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Brain-cognition relationships in late-life depression: a systematic review of structural magnetic resonance imaging studies

Marawi,

Ainsworth,

Zhukovsky

et al. 2023

Transl Psychiatry

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Background Most patients with late-life depression (LLD) have cognitive impairment, and at least one-third meet diagnostic criteria for mild cognitive impairment (MCI), a prodrome to Alzheimer’s dementia (AD) and other neurodegenerative diseases. However, the mechanisms linking LLD and MCI, and brain alterations underlying impaired cognition in LLD and LLD + MCI remain poorly understood. Methods To address this knowledge gap, we conducted a systematic review of studies of brain-cognition relationships in LLD or LLD + MCI to identify circuits underlying impaired cognition in LLD or LLD + MCI. We searched MEDLINE, PsycINFO, EMBASE, and Web of Science databases from inception through February 13, 2023. We included studies that assessed cognition in patients with LLD or LLD + MCI and acquired: (1) T1-weighted imaging (T1) measuring gray matter volumes or thickness; or (2) diffusion-weighted imaging (DWI) assessing white matter integrity. Due to the heterogeneity in studies, we only conducted a descriptive synthesis. Results Our search identified 51 articles, resulting in 33 T1 studies, 17 DWI studies, and 1 study analyzing both T1 and DWI. Despite limitations, reviewed studies suggest that lower thickness or volume in the frontal and temporal regions and widespread lower white matter integrity are associated with impaired cognition in LLD. Lower white matter integrity in the posterior cingulate region (precuneus and corpus callosum sub-regions) was more associated with impairment executive function and processing speed than with memory. Conclusion Future studies should analyze larger samples of participants with various degrees of cognitive impairment and go beyond univariate statistical models to assess reliable brain-cognition relationships in LLD.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Brain-cognition relationships in late-life depression: a systematic review of structural magnetic resonance imaging studies

Marawi,

Ainsworth,

Zhukovsky

et al. 2023

Transl Psychiatry

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“…The extent of thinner cortical thickness in the SMA at baseline may predict improved SSRI response in MDD (Wu et al 2022b ). LLD is associated with CI and reduced gray matter volume (GMV), which, after a 12-week antidepressant pharmacotherapy, in the superior orbital frontal gyrus was associated with less improvement in depression severity, and increased GMV in the same region was associated with greater improvement in depression severity (Droppa et al 2017 ). Furthermore, after citalopram treatment in LLD, improvement of mood and cognition were associated with higher GMV in primary frontal areas and normalization of glucose metabolism in these brain regions (Marano et al 2015 ).…”

Section: Brain Changes Following Lld Treatmentmentioning

confidence: 99%

The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder

Ka¹

2023

J Neural Transm

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Depression is frequent in older individuals and is often associated with cognitive impairment and increasing risk of subsequent dementia. Late-life depression (LLD) has a negative impact on quality of life, yet the underlying pathobiology is still poorly understood. It is characterized by considerable heterogeneity in clinical manifestation, genetics, brain morphology, and function. Although its diagnosis is based on standard criteria, due to overlap with other age-related pathologies, the relationship between depression and dementia and the relevant structural and functional cerebral lesions are still controversial. LLD has been related to a variety of pathogenic mechanisms associated with the underlying age-related neurodegenerative and cerebrovascular processes. In addition to biochemical abnormalities, involving serotonergic and GABAergic systems, widespread disturbances of cortico-limbic, cortico-subcortical, and other essential brain networks, with disruption in the topological organization of mood- and cognition-related or other global connections are involved. Most recent lesion mapping has identified an altered network architecture with "depressive circuits" and "resilience tracts", thus confirming that depression is a brain network dysfunction disorder. Further pathogenic mechanisms including neuroinflammation, neuroimmune dysregulation, oxidative stress, neurotrophic and other pathogenic factors, such as β-amyloid (and tau) deposition are in discussion. Antidepressant therapies induce various changes in brain structure and function. Better insights into the complex pathobiology of LLD and new biomarkers will allow earlier and better diagnosis of this frequent and disabling psychopathological disorder, and further elucidation of its complex pathobiological basis is warranted in order to provide better prevention and treatment of depression in older individuals.

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“…Age-related brain atrophy with a reduction in GMV has also been indicated in older adults with cognitive impairment [ 16 , 17 , 18 , 19 , 20 ]. Positive responses to antidepressant treatment in depression have led to increases in GMV along with improvements in depression severity [ 21 , 22 , 23 ]. Furthermore, orbitofrontal volume can distinguish non-remitted from remitted patients with depression, suggesting a neurobiological prediction model of GMV for GD [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Gut Microbiome Diversity and Abundance Correlate with Gray Matter Volume (GMV) in Older Adults with Depression

Lee

Milillo

Krause‐Sorio

et al. 2022

IJERPH

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Growing evidence supports the concept that bidirectional brain–gut microbiome interactions play an important mechanistic role in aging, as well as in various neuropsychiatric conditions including depression. Gray matter volume (GMV) deficits in limbic regions are widely observed in geriatric depression (GD). We therefore aimed to explore correlations between gut microbial measures and GMV within these regions in GD. Sixteen older adults (>60 years) with GD (37.5% female; mean age, 70.6 (SD = 5.7) years) were included in the study and underwent high-resolution T1-weighted structural MRI scanning and stool sample collection. GMV was extracted from bilateral regions of interest (ROI: hippocampus, amygdala, nucleus accumbens) and a control region (pericalcarine). Fecal microbiota composition and diversity were assessed by 16S ribosomal RNA gene sequencing. There were significant positive associations between alpha diversity measures and GMV in both hippocampus and nucleus accumbens. Additionally, significant positive associations were present between hippocampal GMV and the abundance of genera Family_XIII_AD3011_group, unclassified Ruminococcaceae, and Oscillibacter, as well as between amygdala GMV and the genera Lachnospiraceae_NK4A136_group and Oscillibacter. Gut microbiome may reflect brain health in geriatric depression. Future studies with larger samples and the experimental manipulation of gut microbiome may clarify the relationship between microbiome measures and neuroplasticity.

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Association between change in brain gray matter volume, cognition, and depression severity: Pre- and post- antidepressant pharmacotherapy for late-life depression

Cited by 17 publications

References 51 publications

Brain-cognition relationships in late-life depression: a systematic review of structural magnetic resonance imaging studies

Brain-cognition relationships in late-life depression: a systematic review of structural magnetic resonance imaging studies

The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder

Gut Microbiome Diversity and Abundance Correlate with Gray Matter Volume (GMV) in Older Adults with Depression

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