scholarly journals Aberrant Amplitude of Low-Frequency Fluctuation and Degree Centrality within the Default Mode Network in Patients with Vascular Mild Cognitive Impairment

2021 ◽  
Vol 11 (11) ◽  
pp. 1534
Author(s):  
Haoyuan Li ◽  
Xiuqin Jia ◽  
Yingying Li ◽  
Xuejia Jia ◽  
Qi Yang
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Linear Regression ◽  
Rating Scale ◽  
Brain Activity ◽  
Linear Regression Analysis ◽  
Low Frequency ◽  
Degree Centrality ◽  
Neuropsychological Assessments

This study aimed to investigate whole-brain spontaneous activities changes in patients with vascular mild cognitive impairment (VaMCI), and to evaluate the relationships between these brain alterations and their neuropsychological assessments. Thirty-one patients with VaMCI and thirty-one healthy controls (HCs) underwent structural MRI and resting-state functional MRI (rs-fMRI) and neuropsychological assessments. The functional alterations were determined by the amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC). The gray matter volume (GMV) changes were analyzed using voxel-based morphometry (VBM). Linear regression analysis was used to evaluate the relationships between the structural and functional changes of brain regions and neuropsychological assessments. The VaMCI group had significantly lower scores in the Montreal Cognitive Assessment (MoCA), and higher scores on the Hamilton Anxiety Rating Scale (HAMA) and Hamilton Depression Rating Scale (HAMD). Compared to the HCs, the VaMCI group exhibited GM atrophy in the right precentral gyrus (PreCG) and right inferior temporal gyrus (ITG). VaMCI patients further exhibited significantly decreased brain activity within the default mode network (DMN), including the bilateral precuneus (PCu), angular gyrus (AG), and medial frontal gyrus (medFG). Linear regression analysis revealed that the decreased ALFF was independently associated with lower MoCA scores, and the GM atrophy was independently associated with higher HAMD scores. The current finding suggested that aberrant spontaneous brain activity in the DMN might subserve as a potential biomarker of VaMCI, which may highlight the underlying mechanism of cognitive decline in cerebral small vessel disease.

Abstract TP442: Periventricular Not Deep White Matter Hyperintensities Are Associated With Vascular Cognitive Impairment

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yan Chen ◽  
Renyuan Liu ◽  
Shuwei Qiu ◽  
Yun Xu
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
White Matter ◽  
Linear Regression ◽  
Cognitive Performance ◽  
White Matter Hyperintensities ◽  
Rating Scale ◽  
Linear Regression Analysis ◽  
Vascular Cognitive Impairment ◽  
Cerebral White Matter

Introduction: Cerebral White matter hyperintensities(WMH) are frequent findings on MRI scan. They are well known to correlate with vascular cognitive impairment(VCI). However, controversies still remain about the relationship between WMH locations and cognitive function across studies. Hypothesis: Periventricular WMHs(PWH) rather than deep WMHs(DWH) are associated with cognitive decline in VCI. Methods: Fifty-nine subjects with WMHs on MRI were divided into three groups, normal control(NC), mild cognitive impairment(MCI) and vascular dementia(VaD), according to clinical manifestation and neuropsychological performance. WMH volumes were evaluated by Fazekas rating scale and segmental volumetric. Correlations between cognitive performance and WMH volumes were determined in virtue of Spearman correlation analysis. Receiver operator characteristic (ROC) curves were generated to define the classification cut-off value of WMH volumes for distinguishing VCI versus normal controls. Multiple linear regression analysis was used to predict cognitive performance with WMH volumes and locations after adjusting for sex ,age and education level. Results: Cognitive capacities were gradually declined from NC through MCI to VaD patients while WMH volumes and Fazekas scores altered oppositely. Both PWH and DWH volumes and Fazekas scores were correlated with cognitive performance, and moreover, WMH volumes were correlated with Fazekas scores. ROC analysis showed a cut-off value of PWH rather than DWH to distinguish VCI from NC(AUC=0.745 and 0.635, p =0.001 and 0.076, respectively). Linear regression analysis demonstrated that only PWH volumes were associated with cognitive performance( p < 0.001). Conclusion: Our study demonstrate that PWHs are independent predictors for vascular contribution in white matter lesions and suggest clinicians that PWH should be emphasized on evaluating vascular cognitive impairment related with white matter load.

scholarly journals Loss of Integrity of Corpus Callosum White Matter Hyperintensity Penumbra Predicts Cognitive Decline in Patients With Subcortical Vascular Mild Cognitive Impairment

2021 ◽  
Vol 13 ◽  
Author(s):  
Yage Qiu ◽  
Ling Yu ◽  
Xin Ge ◽  
Yawen Sun ◽  
Yao Wang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
White Matter ◽  
Linear Regression ◽  
Corpus Callosum ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Relationship

Loss of white matter (WM) integrity contributes to subcortical vascular mild cognitive impairment (svMCI). Diffusion tensor imaging (DTI) has revealed damage beyond the area of WM hyperintensity (WMH) including in normal-appearing WM (NAWM); however, the functional significance of this observation is unclear. To answer this question, in this study we investigated the relationship between microstructural changes in the WMH penumbra (WMH-P) and cognitive function in patients with svMCI by regional tract-based analysis. A total of 111 patients with svMCI and 72 patients with subcortical ischemic vascular disease (SIVD) without cognitive impairment (controls) underwent DTI and neuropsychological assessment. WMH burden was determined before computing mean values of fractional anisotropy (FA) and mean diffusivity (MD) within WMHs and WMH-Ps. Pearson’s partial correlations were used to assess the relationship between measurements showing significant intergroup differences and composite Z-scores representing global cognitive function. Multiple linear regression analysis was carried out to determine the best model for predicting composite Z-scores. We found that WMH burden in the genu, body, and splenium of the corpus callosum (GCC, BCC, and SCC respectively); bilateral anterior, superior, and posterior corona radiata; left sagittal stratum was significantly higher in the svMCI group than in the control group (p &lt; 0.05). The WMH burden of the GCC, BCC, SCC, and bilateral anterior corona radiata was negatively correlated with composite Z-scores. Among diffusion parameters showing significant differences across the 10 WM regions, mean FA values of WMH and WMH-P of the BCC were correlated with composite Z-scores in svMCI patients. The results of the multiple linear regression analysis showed that the FA of WMH-P of the BCC and WMH burden of the SCC and GCC were independent predictors of composite Z-score, with the FA of WMH-P of the BCC making the largest contribution. These findings indicate that disruption of the CC microstructure—especially the WMH-P of the BCC—may contribute to the cognitive deficits associated with SIVD.

Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

2021 ◽  
pp. 1-10
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Umegaki ◽  
Fumie Kinoshita ◽  
Chi Hsien Huang ◽  
Taiki Sugimoto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Linear Regression ◽  
Logistic Regression Analysis ◽  
Linear Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Memory Clinic ◽  
Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p <  0.001) or clinical diagnosis of dementia (β= –3.145, p <  0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

scholarly journals Aggregation of Vascular Risk Factors Modulates the Amplitude of Low-Frequency Fluctuation in Mild Cognitive Impairment Patients

2020 ◽  
Vol 12 ◽  
Author(s):  
Liying Zhuang ◽  
Huafu Ni ◽  
Junyang Wang ◽  
Xiaoyan Liu ◽  
Yajie Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Brain Activity ◽  
Low Frequency ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Cvd Risk ◽  
Spontaneous Brain Activity ◽  
Main Effect

Background: Several vascular risk factors, including hypertension, diabetes, body mass index, and smoking status are found to be associated with cognitive decline and the risk of Alzheimer's disease (AD). We aimed to investigate whether an aggregation of vascular risk factors modulates the amplitude of low-frequency fluctuation (ALFF) in patients with mild cognitive impairment (MCI).Methods: Forty-three MCI patients and twenty-nine healthy controls (HCs) underwent resting-state functional MRI scans, and spontaneous brain activity was measured by the ALFF technique. The vascular risk profile was represented with the Framingham Heart Study general cardiovascular disease (FHS-CVD) risk score, and each group was further divided into high and low risk subgroups. Two-way ANOVA was performed to explore the main effects of diagnosis and vascular risk and their interaction on ALFF.Results: The main effect of diagnosis on ALFF was found in left middle temporal gyrus (LMTG) and left superior parietal gyrus (LSPG), and the main effect of risk on ALFF was detected in left fusiform gyrus (LFFG), left precuneus (LPCUN), and left cerebellum posterior lobe (LCPL). Patients with MCI exhibited increased ALFF in the LMTG and LSPG than HCs, and participants with high vascular risk showed increased ALFF in the LFFG and LCPL, while decreased ALFF in the LPCUN. An interaction between diagnosis (MCI vs. HC) and FHS-CVD risk (high vs. low) regarding ALFF was observed in the left hippocampus (LHIP). HCs with high vascular risk showed significantly increased ALFF in the LHIP than those with low vascular risk, while MCI patients with high vascular risk showed decreased ALFF in the LHIP than HCs with high vascular risk. Interestingly, the mean ALFF of LHIP positively correlated with word recall test in HCs with high vascular risk (rho = 0.630, P = 0.016), while negatively correlated with the same test in MCI patients with high vascular risk (rho = −0.607, P = 0.001).Conclusions: This study provides preliminary evidence highlighting that the aggregation of vascular risk factors modulates the spontaneous brain activity in MCI patients, and this may serve as a potential imaging mechanism underlying vascular contribution to AD.

scholarly journals Level of Anxiety among the Mothers of Preterm Newborn Admitted in Nicu Ward

2021 ◽  
pp. 308-312
Author(s):  
Rupal Patel ◽  
Nirali Soni ◽  
Krishna Patel ◽  
Mahima Patel ◽  
Mansi Patel ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Premature Birth ◽  
Rating Scale ◽  
Negative Impact ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Anxiety Level ◽  
Preterm Newborn ◽  
Severe Anxiety

Background: Premature birth has a great impact on the parents. In India, 27 million babies are born each year out of which 3.5 million babies are born premature. This study included premature infants <37 weeks of gestation. Preterm birth may have a negative impact on parents’ experience as well In fact, the premature birth of the baby suddenly interrupts the building of parents’ mental representations and expectations. Aim and Objective: The purpose of this study was to assess the level of anxiety among the mothers of preterm newborn admitted in NICU ward and to find out the association between the level of anxiety among the mothers of preterm newborn with their demographic variable. Design and Methods: A descriptive study was carried out on 50 mothers of premature newborn.  Who were admitted to the neonatal intensive care unit of selected hospital, vadodara. Purposive sampling technique was used to collect the data. Descriptive and inferential statistics were applied to analyses the data by using SPSS-20 software. The samples in this study was selected by non randomised sampling technique. Mothers anxiety regarding the newborn were determined by Hamilton anxiety rating scale. Data was collected by applying Inclusion Criteria like Mothers of preterm who were willing to participate , who were admitted in the hospital. Results: The majority of mothers the study finding of qualitative data reveals that the mothers level of anxiety 10% mild, 10% moderate, 22% severe, 58% very severe. The linear regression analysis showed that anxiety level was at significance of 0.05 level. Association between age and birth weight in demographic variables.  Conclusion: The present study concluded level of anxiety 10% mothers of having mild anxiety, 10% were having moderate anxiety, 22% were having severe anxiety, 58% were having very severe anxiety. The linear regression analysis showed that anxiety level was at significance of 0.05 level.

scholarly journals Depression and severity of articular destruction in patients with rheumatoid arthritis

2020 ◽  
Vol 92 (5) ◽  
pp. 22-32
Author(s):  
A. A. Abramkin ◽  
T. A. Lisitsyna ◽  
D. Yu. Veltishchev ◽  
O. F. Seravina ◽  
O. B. Kovalevskaya ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Depressive Disorder ◽  
Depressive Disorders ◽  
Rating Scale ◽  
Linear Regression Analysis ◽  
Joint Destruction ◽  
Structured Interview

Aim. To assess the influence of anxiety and depressive disorders on joint destruction in patients with rheumatoid arthritis (RA). Materials and methods. 128 RA-patients were included, 87% were women with a mean age of 47.411.3 years and a median of RA duration 96 [48; 228] months. At the inclusion most patients had moderate (n=56, 43.7%) and severe (n=48, 37.5%) disease activity according to DAS28. Joint destruction was classified as maximal in patients with radiographic stage III, IV and/or osteonecrosis) and minimal in patients with stage I, II and no osteonecrosis. Pain intensity was measured with the BPI (Brief Pain Inventory) scale, severity of fatigue with fatigue severity scale (FSS), clinically important fatigue was diagnosed in patients with FSS4. Anxiety and depressive disorders (ADD) were diagnosed by a licensed psychiatrist in 123 (96.1%) of RA-patients in accordance with ICD-10 in semi-structured interview. Severity of depression and anxiety was evaluated with Montgomery-Asberg Depression Rating Scale (MADRS) and Hamilton Anxiety Rating Scale (HAM-A). RA-patients with ADD were divided into the following treatment groups: 1 сDMARDs (n=39), 2 сDMARDs+PPT (sertraline or mianserine), n=43, 3 сDMARDs+bDMARDs (n=32), 4 сDMARDs+bDMARDs+PPT (sertraline or mianserine), n=9. Biologics treatment duration varied from 1 to 6 years, antidepressants from 6 to 96 weeks. 83 (67.5%) RA patients were assessed at five-years follow-up. Linear regression analysis was conducted to determine factors associated with maximal join destruction. Results. According to linear regression analysis, maximal joint destruction at 5 years follow-up was associated with higher baseline BPImax, longer RA and ADD duration, clinically important fatigue at baseline, baseline extraarticular RA manifestations, recurrent depressive disorder at 5-years follow-up and treatment with cDMARDs only. Conclusion. Recurrent depressive disorder without antidepressant treatment is an important predictor of progression of joint destruction in patients with rheumatoid arthritis.

scholarly journals The Effects of Acupuncture at Real or Sham Acupoints on the Intrinsic Brain Activity in Mild Cognitive Impairment Patients

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Baohui Jia ◽  
Zhishun Liu ◽  
Baoquan Min ◽  
Zhenchang Wang ◽  
Aihong Zhou ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Brain Activity ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Brain Network ◽  
Healthy Controls ◽  
The Difference ◽  
The Brain

Accumulating neuroimaging studies in humans have shown that acupuncture can modulate a widely distributed brain network in mild cognitive impairment (MCI) and Alzheimer’s disease (AD) patients. Acupuncture at different acupoints could exert different modulatory effects on the brain network. However, whether acupuncture at real or sham acupoints can produce different effects on the brain network in MCI or AD patients remains unclear. Using resting-state fMRI, we reported that acupuncture at Taixi (KI3) induced amplitude of low-frequency fluctuation (ALFF) change of different brain regions in MCI patients from those shown in the healthy controls. In MCI patients, acupuncture at KI3 increased or decreased ALFF in the different regions from those activated by acupuncture in the healthy controls. Acupuncture at the sham acupoint in MCI patients activated the different brain regions from those in healthy controls. Therefore, we concluded that acupuncture displays more significant effect on neuronal activities of the above brain regions in MCI patients than that in healthy controls. Acupuncture at KI3 exhibits different effects on the neuronal activities of the brain regions from acupuncture at sham acupoint, although the difference is only shown at several regions due to the close distance between the above points.

scholarly journals Effects of APOE ε2 on the Fractional Amplitude of Low-Frequency Fluctuation in Mild Cognitive Impairment: A Study Based on the Resting-State Functional MRI

2021 ◽  
Vol 13 ◽  
Author(s):  
Xiaocao Liu ◽  
Qingze Zeng ◽  
Xiao Luo ◽  
Kaicheng Li ◽  
Hui Hong ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Functional Mri ◽  
Resting State ◽  
Fdg Pet ◽  
Brain Activity ◽  
Low Frequency ◽  
Disease Status ◽  
Frequency Fluctuation ◽  
Post Hoc

BackgroundApolipoprotein E (APOE) ε2 is a protective genetic factor for Alzheimer’s disease (AD). However, the potential interaction effects between the APOE ε2 allele and disease status on the intrinsic brain activity remain elusive.MethodsWe identified 73 healthy control (HC) with APOE ε3/ε3, 61 mild cognitive impairment (MCI) subjects with APOE ε3/ε3, 24 HC with APOE ε2/ε3, and 10 MCI subjects with APOE ε2/ε3 from the ADNI database. All subjects underwent a resting-state functional MRI and Fluoro-deoxy-glucose positron emission tomography (FDG-PET). We used a fractional amplitude of low-frequency fluctuation (fALFF) to explore the spontaneous brain activity. Based on the mixed-effects analysis, we explored the interaction effects between the APOE ε2 allele versus disease status on brain activity and metabolism in a voxel-wise fashion (GRF corrected, p &lt; 0.01), followed by post hoc two-sample t-tests (Bonferroni corrected, p &lt; 0.05). We then investigated the relationship between the mean imaging metrics and cognitive abilities.ResultsThere are no significant differences in gender, age, or education among the four groups. The interaction effect on brain activity was located in the inferior parietal lobule (IPL). Post hoc analysis showed that APOE ε2/ε3 MCI had an increased IPL fALFF than APOE ε3/ε3 MCI. Regarding the APOE ε2 allele effects, we found that ε2 carriers had a decreased fALFF in the transverse temporal gyrus than non-carriers. Also, FDG-PET results showed a lower SUVR of the frontal lobe in APOE ε2 carriers than non-carriers. Furthermore, fALFF of IPL was correlated with the visuospatial function (r = −0.16, p &lt; 0.05).ConclusionAPOE ε2 carriers might have a better brain reservation when coping with AD-related pathologies.

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