Association Between Internet Use, Cognitive Function, and Globus Pallidus Volumes: A Study Among the Elderly in Chinese Communities

Wei, Li; Yue, Ling; Xiao, Shifu

doi:10.3389/fpubh.2022.886974

Cited by 15 publications

(8 citation statements)

References 34 publications

(27 reference statements)

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“…Second, Internet use may impact cognitive function by affecting pallidum volume. Previous research has shown that Internet users have a larger pallidum volume, with the volume on the left being positively associated with changes in MMSE scores, suggesting that pallidum volume may be a protective factor against cognitive decline [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies

Wang,

Wu,

Duan

et al. 2024

BMC Geriatr

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Objectives Older people are more likely to have digital exclusion, which is associated with poor health. This study investigated the relationship between digital exclusion and cognitive impairment in older adults from 23 countries across five longitudinal surveys. Design and measurements Digital exclusion is defined as self-reported non-use of the Internet. We assessed cognitive impairment on three dimensions: orientation, memory, and executive function. We used generalized estimation equations fitting binary logistic regression with exchangeable correlations to study the relationship between digital exclusion and cognitive impairment, and apply the minimum sufficiently adjusted set of causally directed acyclic graphs as the adjusted variable. Setting and participants We pooled a nationally representative sample of older adults from five longitudinal studies, including the China Health and Retirement Longitudinal study (CHARLS), the English Longitudinal Study of Ageing (ELSA), the Health and Retirement Study (HRS), the Mexican Health and Ageing Study (MHAS) and the Survey of Health, Ageing and Retirement in European (SHARE). Results We included 62,413 participants from five longitudinal studies. Digital exclusion varied by country, ranging from 21.69% (SHARE) in Denmark to 97.15% (CHARLS) in China. In the original model, digital exclusion was significantly associated with cognitive impairment in all five studies. In the adjusted model, these associations remained statistically significant: CHARLS (Odds ratio [OR] = 2.81, 95% confidence interval [CI] 1.84–4.28, ELSA (1.92 [1.70–2.18]), HRS(2.48[2.28–2.71), MHAS (1.92 [1.74–2.12]), and SHARE (2.60 [2.34–2.88]). Conclusion Our research shows that a significant proportion of older people suffer from digital exclusion, especially in China. Digital exclusion was positively correlated with cognitive impairment. These findings suggest that digital inclusion could be an important strategy to improve cognitive function and reduce the risk of cognitive impairment in older adults.

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Section: Discussionmentioning

confidence: 99%

Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies

Wang,

Wu,

Duan

et al. 2024

BMC Geriatr

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“…This is consistent with previous studies and may be related to the damage or death of basal ganglia nerve cells caused by insufficient blood supply, oxidative stress and inflammation caused by hypertension. 25, 26 In addition, previous studies have found that both the volume of BG are found to decrease with age in healthy volunteers. 27, 28 In this study, we found that this phenomenon is not only in healthy people, but also in patients with high blood pressure.…”

Section: Discussionmentioning

confidence: 95%

Microenvironment changes in basal ganglia region correlates with hypertension at 7T MRI

Liang,

Meng,

et al. 2023

Preprint

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BACKGROUNDHypertension, a major risk factor for stroke, is associated with the changes of microenvironment in basal ganglia region, including microstructural characteristics and mapping relationship of blood flow and peripheral nerve tissue.MATERIALS AND METHODSThe morphological characteristics of the lenticulostriate arteries (LSA) and peripheral nerve nuclei were compared by 7T time-of-Flight MRA between 32 hypertensive patients (mean age: 47.1±9.6 years) and 48 age-matched healthy subjects (mean age: 47.7±8.1 years) from September 2022 to February 2023. The ITK-SNAP software was used to measure the morphological characteristics of the LSA and the volume of the nuclei.RESULTSThe average stems number and length of LSA was significantly higher in healthy people than those in hypertension patients (p<0.05). The volumes of the peripheral nerve nuclei in healthy subjects were significantly larger than those in hypertensive patients (p<0.05). There was a positive correlation between the volume of putamen and the length of LSA in the left hemisphere (r = 0.23, p < 0.05). The number of stems was found to be positively correlated with Globus pallidus volume (r = 0.27, p < 0.05) and internal capsule volume (r = 0.25, p < 0.05) in the right hemisphere. For older adults (>45 year old), the average stems number of LSA and the volume of nuclei were significantly different (P <0.05).CONCLUSIONThe microstructure of the basal ganglia has changed obviously in patients with hypertension compared to healthy individuals when observed by 7T MRA.NOVELTY AND RELEVANCEWhat Is New?Previously studies on basal ganglia of hypertension using 7T MRI mainly focused on the imaging of LSA, but have not identified significant associations between the LSA and peripheral nerve tissue. However, the occurrence of hypertension adverse events such as intracerebral hemorrhage is closely related to the microenvironment formed by the lenticular artery and peripheral nerve tissue. Once the potential correlation is taken into account, the treatment and follow-up plan related to hypertension may be changed to effectively reduce the adverse.What Is Relevant?The rupture of LSA is a recognized cause of stroke in the basal ganglia of hypertensive patients, and the change of the microenvironment of peripheral nerve tissue is closely related to the rupture of LSA. The current findings confirm this notion and identify a potential association between the LSA and peripheral nerve nuclei in hypertensive patients, reinforcing the causal relationship between changes in follow-up strategies for lifelong hypertension and disease risk.Clinical/Pathophysiological Implications?Consider early and active assessment of basal ganglia blood flow and peripheral nerve tissue changes in all hypertensive patients to help reduce the risk of adverse events (such as cerebral hemorrhage, cerebral infarction, cognitive impairment, etc.) in individuals.

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“…It was selected by methods at least eight times within ten runs. According to recent studies in the literature, it has been observed that changes in mitochondrial morphology in globus pallidus can also be seen in Alzheimer's disease [52], [53], [54]. The methods and the selected globus pallidus regions are presented in Table X.…”

Section: Results Tablesmentioning

confidence: 99%

Classification of Brain Volumetric Data to Determine Alzheimer’s Disease Using Artificial Bee Colony Algorithm as Feature Selector

Keleş

Kilic

2022

IEEE Access

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Alzheimer's disease is a degenerative disease that affects the progression of age and causes the brain to be unable to fulfill its expected functions. Depending on the stage, the effects of Alzheimer's disease (AD) vary from forgetting the names of surrounding people to not being able to continue daily life without assistance. To the best of our knowledge, there are no generally accepted diagnostic or treatment methods. In this study, a binary version of the artificial bee colony algorithm (BABC) is proposed as a feature selector for classifying AD from volumetric and statistical data of brain magnetic resonance images (MRIs). MRIs were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Volumetric and statistical data from the collected MRIs were obtained from an online system called volBrain. Then, for comparison, binary particle swarm optimization (BPSO), binary grey wolf optimization (BGWO), and binary differential evolution (BDE) were employed. The results of this comparison show that BGWO outperforms BABC, which is a competitive method for this purpose. Additionally, traditional data mining methods such as Info Gain (IG), Gain Ratio (GR), Chi-square (CHI), and ReliefF methods were utilized for comparison. The results also demonstrate the superiority of the BABC over traditional methods. Second, this study focused on exploring which parts of the brain are more relevant for AD diagnosis. The novelty of this study lies in the output of the second point.

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Association Between Internet Use, Cognitive Function, and Globus Pallidus Volumes: A Study Among the Elderly in Chinese Communities

Cited by 15 publications

References 34 publications

Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies

Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies

Microenvironment changes in basal ganglia region correlates with hypertension at 7T MRI

Classification of Brain Volumetric Data to Determine Alzheimer’s Disease Using Artificial Bee Colony Algorithm as Feature Selector

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