scholarly journals Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment

2020 ◽  
Vol 11 ◽  
Author(s):  
Jing Zhang ◽  
Zixiao Li ◽  
Xingxing Cao ◽  
Lijun Zuo ◽  
Wei Wen ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Basal Ganglia ◽  
Cognitive Decline ◽  
Effective Connectivity ◽  
Network Connectivity ◽  
Brain Regions ◽  
Neuronal Model ◽  
Causal Modeling ◽  
Healthy Controls

We investigated the association between poststroke cognitive impairment and a specific effective network connectivity in the prefrontal–basal ganglia circuit. The resting-state effective connectivity of this circuit was modeled by employing spectral dynamic causal modeling in 11 poststroke patients with cognitive impairment (PSCI), 8 poststroke patients without cognitive impairment (non-PSCI) at baseline and 3-month follow-up, and 28 healthy controls. Our results showed that different neuronal models of effective connectivity in the prefrontal–basal ganglia circuit were observed among healthy controls, non-PSCI, and PSCI patients. Additional connected paths (extra paths) appeared in the neuronal models of stroke patients compared with healthy controls. Moreover, changes were detected in the extra paths of non-PSCI between baseline and 3-month follow-up poststroke, indicating reorganization in the ipsilesional hemisphere and suggesting potential compensatory changes in the contralesional hemisphere. Furthermore, the connectivity strengths of the extra paths from the contralesional ventral anterior nucleus of thalamus to caudate correlated significantly with cognitive scores in non-PSCI and PSCI patients. These suggest that the neuronal model of effective connectivity of the prefrontal–basal ganglia circuit may be sensitive to stroke-induced cognitive decline, and it could be a biomarker for poststroke cognitive impairment 3 months poststroke. Importantly, contralesional brain regions may play an important role in functional compensation of cognitive decline.

scholarly journals Alternation in Effective Connectivity With Cognitive Aging: A Longitudinal Study of Elderly Populations

2021 ◽  
Vol 13 ◽  
Author(s):  
Xingxing Cao ◽  
Tao Liu ◽  
Jiyang Jiang ◽  
Hao Liu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Elderly People ◽  
Cognitive Aging ◽  
Aging Process ◽  
Effective Connectivity ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Causal Modeling ◽  
Angular Gyrus ◽  
Time Points

In this research, we investigated the alterations in the directionality and strength of regional interactions within functionally changed brain networks and their relationship to cognitive decline during the aging process in normal elderly individuals. Thirty-seven cognitively normal elderly people received resting-state fMRI scans and cognitive assessments at baseline (age = 78.65 ± 3.56 years) and at 4-year follow-up. Functional connectivity analyses were used to identify networks containing brain regions whose functions changed with age as regions of interest. The spectral dynamic causal modeling (spDCM) method was used to estimate the causal interactions within networks in subjects at different time points and in subjects with different cognitive levels to explore the alterations with cognitive aging. The results showed that, at both time points, all the networks, except the frontal-parietal network (FPN) at baseline, had mutual interactions between each pair of nodes. Furthermore, when the subjects were divided with global cognition level, lost connections were only found in the subgroup with better performance. These indicated that elderly people appeared to need more interaction pathways between brain areas with cognitive decline. We also observed that the strength of the flow of information from the left angular gyrus to the precuneus, which is associated with activation of memory retrieval and the functional hub involved in various cognitive domains, was predictive of declines in executive function with the aging process, making it a potential predictor of such situation.

scholarly journals Serum Daytime Melatonin Levels Reflect Cerebrospinal Fluid Melatonin Levels in Alzheimer’s Disease but Are Not Correlated with Cognitive Decline

2021 ◽  
pp. 1-12
Author(s):  
Amber Nous ◽  
Mandy Melissa Jane Wittens ◽  
Yannick Vermeiren ◽  
Peter Paul De Deyn ◽  
Christine Van Broeckhoven ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Healthy Controls ◽  
Night Time ◽  
Cross Sectional ◽  
State Examination

Background: Nocturnal cerebrospinal fluid (CSF) and blood melatonin levels are altered in Alzheimer’s disease (AD). However, literature remains inconclusive on daytime blood melatonin levels. A positive correlation between melatonin levels and Mini-Mental State Examination (MMSE) scores in AD subjects has been evidenced following cross-sectional analyses. Whereas a correlation between serum and spinal CSF melatonin has been shown in healthy volunteers, an equal investigation in AD patients still has to be undertaken. Objective: 1) To evaluate whether serum melatonin levels correlate with spinal CSF melatonin levels in AD. 2) To compare daytime CSF and serum melatonin levels between patients with AD dementia, mild cognitive impairment due to AD, and healthy controls, and to evaluate whether melatonin can affect cognitive decline in AD. Methods: Subjects with AD and healthy controls included in two existing cohorts, of whom a CSF and serum sample was available at the neurobiobank and had at least 6 months of neuropsychological follow-up, were included in the present study. Melatonin concentrations were measured with liquid chromatography-mass spectrometry. Results: Daytime serum melatonin levels correlated with spinal CSF melatonin levels in AD (r = 0.751, p <  0.001). No significant differences regarding daytime melatonin levels were found between patients and controls. No correlations were observed between daytime melatonin levels and MMSE score changes. Conclusion: Daytime serum melatonin accurately reflects CSF melatonin levels in AD, raising the possibility to assess melatonin alterations by solely performing blood sampling if also confirmed for night-time values. However, daytime melatonin levels are not associated with changes of cognitive impairment.

Analyses of Visuospatial and Visuoperceptual Errors as Predictors of Dementia in Parkinson’s Disease Patients with Subjective Cognitive Decline and Mild Cognitive Impairment

2020 ◽  
pp. 1-11
Author(s):  
Iván Galtier ◽  
Antonieta Nieto ◽  
María Mata ◽  
Jesús N. Lorenzo ◽  
José Barroso
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Poor Performance ◽  
Subjective Cognitive Decline ◽  
Independent Risk Factors

ABSTRACT Objective: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD. Method: Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline. Results: PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk. Conclusions: PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.

scholarly journals Assessing visuo-constructive functions in patients with subjective cognitive decline, mild cognitive impairment and Alzheimer’s disease with the Vienna Visuo-Constructional Test 3.0 (VVT 3.0)

2021 ◽  
Author(s):  
Noel Valencia ◽  
Johann Lehrner
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Multinomial Logistic Regression ◽  
Subjective Cognitive Decline ◽  
Healthy Controls ◽  
Considerable Potential ◽  
Multinomial Logistic Regression Analysis

Summary Background Visuo-Constructive functions have considerable potential for the early diagnosis and monitoring of disease progression in Alzheimer’s disease. Objectives Using the Vienna Visuo-Constructional Test 3.0 (VVT 3.0), we measured visuo-constructive functions in subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD), and healthy controls to determine whether VVT performance can be used to distinguish these groups. Materials and methods Data of 671 participants was analyzed comparing scores across diagnostic groups and exploring associations with relevant clinical variables. Predictive validity was assessed using Receiver Operator Characteristic curves and multinomial logistic regression analysis. Results We found significant differences between AD and the other groups. Identification of cases suffering from visuo-constructive impairment was possible using VVT scores, but these did not permit classification into diagnostic subgroups. Conclusions In summary, VVT scores are useful indicators for visuo-constructive impairment but face challenges when attempting to discriminate between several diagnostic groups.

scholarly journals 332 - Electroconvulsive therapy in older adults with major depression was not associated with cognitive decline during a 15-year follow-up

2020 ◽  
Vol 32 (S1) ◽  
pp. 91-91
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Major Depression ◽  
Cognitive Decline ◽  
Electroconvulsive Therapy ◽  
Antidepressant Treatment ◽  
Community Sample ◽  
Control Group

AUTHORS:Kerstin Johansson, Karolina Thömkvist, Ingmar Skoog and Sacuiu SF* (*presenter)OBJECTIVE:To determine the effects of electroconvulsive therapy (ECT) in major depression in relation to the development of dementia during long-term follow-up.METHOD:In an observational clinical prospective study of consecutive patients 70 years and older diagnosed with major depression at baseline 2000-2004 (n=1090), who were free of dementia and received antidepressant treatment, with or without ECT, we sought to determine if cognitive decline (mild cognitive impairment and dementia) during 15 -year follow-up was associated with receiving ECT at baseline. The control group was selected among the participants in the Gothenburg H70 Birth Cohort Studies matched by age group and sex 1:1.RESULTS:Among patients with affective syndromes 7% received ECT. During follow-up, 157 patients were diagnosed with dementia, equal proportions among those who received ECT (14.5%) and those who did not receive ECT (14.5%). The relation between ECT and cognitive decline remained non-significant irrespective antidepressive medication or presence of mild cognitive impairment at baseline.CONCLUSION:Preliminary results indicate that ECT was not associated with the development of cognitive decline in the long-term in a hospital-based cohort of 70+ year-olds. The results remain to verify against controls from a representative community sample.

scholarly journals Sleep Disturbance and the Risk of Cognitive Decline or Clinical Conversion in the ADNI Cohort

2018 ◽  
Vol 45 (3-4) ◽  
pp. 232-242 ◽  
Author(s):  
Adam P. Mecca ◽  
Hannah R. Michalak ◽  
Julia W. McDonald ◽  
Emily C. Kemp ◽  
Erika A. Pugh ◽  
...  
Keyword(s):  
Cohort Study ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Sleep Disturbance ◽  
Secondary Analysis ◽  
Study Results ◽  
Global Cognition ◽  
The Relationship ◽  
Normal Cognition

Background: We investigated the relationship between sleep disturbance and cognitive decline or clinical conversion in individuals with normal cognition (CN), as well as those with mild cognitive impairment (MCI) and dementia due to Alzheimer disease (AD-dementia). Methods: Secondary analysis of 1,629 adults between 48 and 91 years of age with up to 24 months of follow-up from the ADNI (Alzheimer’s Disease Neuroimaging Initiative), a longitudinal cohort study. Results: Sleep disturbance was not associated with decline in memory, executive function, or global cognition. The presence of sleep disturbance did not significantly increase the risk of diagnostic conversion in CN, early MCI, or late MCI participants. Conclusion: This study investigated the effect of sleep disturbance on cognitive decline using several outcomes and does not support the hypothesis that sleep disturbance predicts subsequent cognitive decline.

scholarly journals Cognitive Impairment in Patients with Ankylosing Spondylitis

2020 ◽  
Vol 47 (2) ◽  
pp. 219-225
Author(s):  
Bruno Kusznir Vitturi ◽  
Enrico Stefano Suriano ◽  
Ana Beatriz Pereira de Sousa ◽  
Dawton Yukito Torigoe
Keyword(s):  
Cognitive Impairment ◽  
Ankylosing Spondylitis ◽  
Cognitive Decline ◽  
Cognitive Assessment ◽  
Neuropsychiatric Symptoms ◽  
Functional Limitations ◽  
Healthy Controls ◽  
Cognitive Screening ◽  
Clinical Predictors ◽  
Screening Battery

ABSTRACT:Background:Little is known about the potential systemic effects of ankylosing spondylitis (AS) on the nervous system. We designed a study aiming to assess the frequency and clinical predictors of cognitive impairment in AS patients.Methods:We carried out a cross-sectional case–control study composed of consecutive patients with AS. Trained and blinded interviewers registered clinical-epidemiological data and applied a standardized neurological assessment for each subject of the study. At baseline, functional limitations were characterized using the Health Assessment Questionnaire. Cognitive impairment was evaluated with the Brief Cognitive Screening Battery, the Montreal Cognitive Assessment, and the Clinical Dementia Rating, while neuropsychiatric symptoms were investigated with the Hospital Anxiety and Depression Scale. Healthy controls were matched for age, educational attainment, sex, and comorbidities. We compared the neurological outcomes between case and controls, and we determined the clinical predictors of cognitive decline.Results:We included 40 patients (mean: 49.3 years) with AS and 40 healthy controls (mean: 48.8 years) in our study. In Brief Cognitive Screening Battery, patients with AS presented a statistically significant poor performance in the clock drawing test and in the verbal fluency. The mean Montreal Cognitive Assessment (MoCA) scores were significantly lower in AS subjects compared to the control group. Also, the prevalence of subjects classified as cognitively impaired according to MoCA was significantly higher in the AS group (90.0% vs. 57.5%, p = 0.02). Moreover, neuropsychiatric symptoms were more prevalent in AS patients. Worse functional limitations were associated with poor cognitive performance as well.Conclusions:Patients with AS might be more vulnerable to cognitive decline.

Altered effective connectivity during performance of an information processing speed task in multiple sclerosis

2011 ◽  
Vol 18 (4) ◽  
pp. 409-417 ◽  
Author(s):  
Victoria M Leavitt ◽  
Glenn Wylie ◽  
Helen M Genova ◽  
Nancy D Chiaravalloti ◽  
John DeLuca
Keyword(s):  
Multiple Sclerosis ◽  
Processing Speed ◽  
Effective Connectivity ◽  
A Priori ◽  
Brain Regions ◽  
Healthy Controls ◽  
Causality Analysis ◽  
Information Processing Speed ◽  
Neural Connections ◽  
Speed Task

Background: Functional magnetic resonance imaging (fMRI) studies of persons with multiple sclerosis (MS) reveal distinct patterns of activation during task performance. We were interested in determining whether distinct patterns of effective connectivity would be revealed with Granger causality analysis (GCA). Objective: To characterize directed neural connections in persons with MS during a processing speed task between brain regions known to be activated in healthy controls. Methods: fMRI and GCA were used to examine effective connectivity underlying performance of a processing speed task in persons with MS. In total, 16 individuals with MS and 17 healthy controls (HC) performed a modified version of the Symbol Digit Modality Task (mSDMT) in the MRI scanner. Eight seed regions were selected on the basis of a priori data showing areas involved in mSDMT performance of HC. Results: Behaviorally, the MS group attained a level of accuracy equivalent to the HC group, although they were significantly slower. While there was a great deal of overlap in the connections relied upon by both groups, the MS group showed significant differences in connectivity between critical brain regions. Specifically, the MS group had more connections from multiple regions to frontal cortices bilaterally relative to HCs. Conclusions: Greater neural recruitment by the MS group relative to HC is consistent with the neural efficiency hypothesis, and lends further support to the notion that more connections must be recruited to maintain performance in the presence of brain pathology.

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