Association Between Cerebral Microbleeds and Depression in the General Elderly Population: A Meta-Analysis

Wang, Ruiming; Liu, Keqin; Ye, Xiaoyun; Yan, Shiyu

doi:10.3389/fpsyt.2018.00094

Cited by 9 publications

(13 citation statements)

References 30 publications

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“…However, the effect of an mTBI, which is the most frequent form of brain trauma, on the development of CMBs in aging, has not been established ( Wang et al, 2014 ; Krishnamoorthy et al, 2015 ; Rauen et al, 2020 ). Here, we show ( Figure 2 ) that significantly more microbleeds can be found in aging human brains than in the brains of young healthy individuals, confirming the results of previous studies ( Greenberg et al, 2009 ; Werring et al, 2010 ; Toth et al, 2015 ; Akoudad et al, 2016 ; Wang et al, 2018 ). We also found significantly more CMBs in elderly patients after an mTBI compared with young patients with an mTBI; however, we did not observe a significant difference in the number of cerebral microhemorrhages between aged and aged patients with mTBIs.…”

Section: Discussionsupporting

confidence: 90%

“…It has been shown previously that both TBIs and aging induce the development of CMBs ( Huang et al, 2015 ; Toth et al, 2015 ; Ungvari et al, 2017 ; Irimia et al, 2018 ; Wang et al, 2018 ; Griffin et al, 2019 ). In both cases, CMBs are associated with long-term cognitive deficits and gait dysfunctions and determine the outcome of patients ( Werring et al, 2010 ; de Laat et al, 2011 ; Huang et al, 2015 ; Toth et al, 2015 , 2020 ; Yakushiji, 2015 ; Akoudad et al, 2016 ; Ungvari et al, 2017 , 2018 ; Irimia et al, 2018 ; Nyúl-Tóth et al, 2020 ).…”

Section: Discussionmentioning

confidence: 98%

“…Cerebral microbleeds are hemosiderin deposits that are 5–10 mm in diameter as a result of bleeding from injured small cerebral arteries, arterioles, or capillaries. They are also associated with the development of cognitive impairments, psychiatric disorders, and gait dysfunctions ( Werring et al, 2010 ; de Laat et al, 2011 ; Wang et al, 2014 , 2018 ; Huang et al, 2015 ; Toth et al, 2015 , 2020 ; Akoudad et al, 2016 ; Ungvari et al, 2017 , 2018 ; Irimia et al, 2018 ; Nyúl-Tóth et al, 2020 ). Due to orthostatic hypotension, dehydration, and impaired balance, the elderly population frequently suffers TBIs ( Krishnamoorthy et al, 2015 ; Irimia et al, 2018 ; Rauen et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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The Effect of Mild Traumatic Brain Injury on Cerebral Microbleeds in Aging

Toth

Czigler

Horváth

et al. 2021

Front. Aging Neurosci.

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A traumatic brain injury (TBI) induces the formation of cerebral microbleeds (CMBs), which are associated with cognitive impairments, psychiatric disorders, and gait dysfunctions in patients. Elderly people frequently suffer TBIs, especially mild brain trauma (mTBI). Interestingly, aging is also an independent risk factor for the development of CMBs. However, how TBI and aging may interact to promote the development of CMBs is not well established. In order to test the hypothesis that an mTBI exacerbates the development of CMBs in the elderly, we compared the number and cerebral distribution of CMBs and assessed them by analysing susceptibility weighted (SW) MRI in young (25 ± 10 years old, n = 18) and elder (72 ± 7 years old, n = 17) patients after an mTBI and in age-matched healthy subjects (young: 25 ± 6 years old, n = 20; aged: 68 ± 5 years old, n = 23). We found significantly more CMBs in elder patients after an mTBI compared with young patients; however, we did not observe a significant difference in the number of cerebral microhemorrhages between aged and aged patients with mTBI. The majority of CMBs were found supratentorially (lobar and basal ganglion). The lobar distribution of supratentorial CMBs showed that aging enhances the formation of parietal and occipital CMBs after mTBIs. This suggests that aging and mTBIs do not synergize in the induction of the development of CMBs, and that the different distribution of mTBI-induced CMBs in aged patients may lead to specific age-related clinical characteristics of mTBIs.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Effect of Mild Traumatic Brain Injury on Cerebral Microbleeds in Aging

Toth

Czigler

Horváth

et al. 2021

Front. Aging Neurosci.

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“…Papers were automatically identified by searching the terms throughout the published text. All output results were generated by WoS and utilized the same result exploitation search strategy as used in other studies (e.g., Chang et al, 2017;Walls, 2018;Wang et al, 2018;Zhao et al, 2018).…”

Section: Frequent Use Of the Term "Morphological Variability" In Coasmentioning

confidence: 99%

Simple Assessment of Spatio-Temporal Evolution of Salt Marshes Ecological Services

Carrasco

2019

Front. Ecol. Evol.

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A number of previous research studies have addressed the enormous role played by biodiversity and ecosystems in human well-being and have placed particular emphasis on the consequences of the reduction or loss of these services. A handful of studies have implemented practical methodologies to quantify the variability of limiting factors leading to reductions in these ecological services. The aim of this article is to document the limited number of studies that have analyzed coastal ecosystem services and acknowledge the impacts of physical changes in habitat provision. In one example, it is clear that the maintenance of salt marshes depends on sedimentary supply and consequent morphological variability in spite of the fact that there is usually no recurrent integration of habitat time-space dynamics (sediment availability) during the quantification and monetization of marsh services (i.e., monetary valuation of salt marsh services). This means that one key challenge facing the analysis of salt marsh (or other ecosystem) services in a global climate context is to predict future value, based on past trends, while at the same time guaranteeing conservation. Research in this field has been very broad and so the use of long-term evolutionary datasets is proposed here to explain future habitat provision. An empirical approximation is also presented here that accounts for service provision and enables time-space analysis. Although improvements will be required, the equation presented here represents a key first step to enable managers to cope with the constraints of resource limitations and is also applicable to other habitats.

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“…Depressive symptoms have been associated with several indicators of poor brain health, such as smaller hippocampi, smaller subcortical structure volume, and more cortical thinning (Binnewies et al, 2021;Kempton et al, 2011;Schmaal et al, 2020). Particularly in the elderly (age above 60), a greater presence of markers of cerebrovascular disease (Kales et al, 2005) has been reported, presented as more cerebral microbleeds (Wang et al, 2018), white matter lesions (Herrmann et al, 2008), and lacunar infarcts (Valkanova and Ebmeier, 2013). Findings have however been somewhat inconsistent, with some studies not replicating associations of depressive symptoms with smaller total brain volume or subcortical structure volume (e.g.…”

Section: Introductionmentioning

confidence: 99%