scholarly journals Unsupervised online neuropsychological test performance for individuals with mild cognitive impairment and dementia: Results from the Brain Health Registry

2018 ◽  
Vol 10 (1) ◽  
pp. 573-582 ◽  
Author(s):  
R. Scott Mackin ◽  
Philip S. Insel ◽  
Diana Truran ◽  
Shannon Finley ◽  
Derek Flenniken ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Test Performance ◽  
Neuropsychological Test ◽  
Brain Health ◽  
Health Registry ◽  
The Brain

scholarly journals 544 - Validation of a new cognitive screening tool, the Brain Health Test-7, for identification of mild cognitive impairment and early dementia in 3 differentkinds of hospital settings

2021 ◽  
Vol 33 (S1) ◽  
pp. 86-87
Author(s):  
Meng-Shiuan Shie ◽  
Mei Xian Loi ◽  
His-Chung Chen ◽  
Ming-Hsien Hsieh ◽  
Yi-Ting Lin ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Outpatient Clinic ◽  
Screening Tool ◽  
Testing Time ◽  
Cognitive Screening ◽  
Brain Health ◽  
Early Dementia ◽  
Health Test ◽  
The Brain

BackgroundThe Brain Health Test-7 (BHT-7) is a revised tool from the original BHT, containing more tests about frontal lobe function. It was developed with theaim of identifying patients with mild cognitive impairment (MCI) and early dementia.Research objectiveHere we report the validity of the BHT-7 versus the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) in differentpsychiatry or neurology clinics.MethodsPatients with memory complaints were recruited in this study from the outpatient clinic of psychiatry or neurology in 3 different kinds of hospitals. Allpatients underwent the evaluation of the BHT-7, MMSE, MoCA, and clinical dementia rating (CDR). The clinical diagnosis (normal, MCI, dementia) was made by consensus meeting, taking into account all available data.Demographic data and the scores of the MMSE, MoCA, and BHT-7 between groups were compared. Logistic regression was adopted for analysis of optimal cutoff values, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), receiver operating characteristic (ROC) curve,and the area under the ROC curve (AUC).ResultsWe enrolled a total of 1090 subjects (normal 402, MCI 317, dementia 371); of them, 705 (64.7%) were female. There was a statistically significant differencein age, years of education, and 3 cognitive test scores among the 3 groups.Compared with the MMSE and MoCA, the BHT-7 performed slightly betterthan MMSE and MoCA in differentiating MCI or dementia from the normalcontrols (Table 1). For BHT- 7, the cutoff point was 17 between normal andMCI, and 14 between normal and dementia. These cutoff points for BHT-7were consistent through 3 different clinical settings, but inconsistent for MMSE and MoCA. The testing time for the BHT-7 was about 5-7 minutes, shorter than that of the MMSE and MoCA.ConclusionCompared with MMSE and MoCA, the BHT-7 showed slightly better performance in differentiating normal from MCI or dementia subjects. The testing time for the BHT-7 was shorter, and its cutoff points were consistent through different outpatient clinic settings. The results support that BHT-7 is auseful cognitive screening tool for MCI or early dementia in various hospital settings.Table 1Comparisons of the performance of BHT-7, MMSE, MoCAAUCcutoffSENSPEPPVNPVNormal vs. MCIBHT-70.8532≦170.81700.74130.71350.8371MMSE0.8061≦270.79500.68830.66840.8091MoCA0.8316≦250.82020.67910.66840.8273Normal vs. DementiaBHT-70.9848≦140.94340.96020.95630.9484MMSE0.9693≦240.88950.96260.95650.9040MoCA0.9768≦210.92450.94280.93720.9312Normal vs. MCI + DementiaBHT-70.9241≦160.83720.84580.90280.7522MMSE0.8941≦250.72820.91520.93650.6625MoCA0.9099≦230.80810.85320.90410.7221

Unsupervised Performance of the CogState Brief Battery in the Brain Health Registry: Implications for Detecting Cognitive Decline

2021 ◽  
pp. 1-7
Author(s):  
T. Banh ◽  
C. Jin ◽  
J. Neuhaus ◽  
R.S. Mackin ◽  
P. Maruff ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Disease Status ◽  
Self Report ◽  
Longitudinal Change ◽  
Longitudinal Assessment ◽  
Brain Health ◽  
Cross Sectional ◽  
Participant Characteristics ◽  
Health Registry ◽  
The Brain

Introduction: The feasibility and validity of unsupervised, longitudinal brief computerized cognitive batteries is unknown. Methods: Participants aged 56-90 (N = 19476) from the Brain Health Registry (BHR) completed the CogState Brief Battery (CBB) at 6-month intervals over a period of 5 years. We used linear mixed-effects models to assess whether cross-sectional and longitudinal performance on CBB within BHR was associated with demographic and cognitive characteristics. We also defined a group of CBB decliners based on subject-specific slopes and estimated associations between decliner status and participant characteristics. Results: We found weak associations between longitudinal change in CBB and participant characteristics. Cross-sectional CBB scores were significantly associated with participant characteristics such as age, gender, ethnicity, self-reported disease status, and memory concern. CBB decliners were more likely to self-report mild cognitive impairment (MCI) and memory concerns. Discussion: Cross-sectional, remote CBB shows evidence of construct validity, but our results suggest that longitudinal assessment may not provide additional value for identifying those at risk for and with cognitive impairment.

scholarly journals Cognitive profile of mild behavioral impairment in Brain Health Registry participants

2021 ◽  
Author(s):  
Farzeen Kassam ◽  
Hung-Yu Chen ◽  
Rachel L Nosheny ◽  
Alexander McGirr ◽  
Tirzah Williams ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Test Performance ◽  
Test Scores ◽  
Neuropsychological Test ◽  
Behavioral Assessment ◽  
Cognitive Test ◽  
Brain Health ◽  
Behavioral Impairment ◽  
Cognitive Test Performance ◽  
Health Registry

INTRODUCTION: Dementia assessment includes cognitive and behavioral testing with informant validation. Conventional testing is resource intensive, with uneven access. Online unsupervised assessments could reduce barriers to risk assessment. We interrogated the relationship between informant-rated behavioral changes and neuropsychological test performance in older adults in the Brain Health Registry. METHODS: Participants completed online unsupervised cognitive tests, and informants completed the Mild Behavioral Impairment Checklist via a Study Partner portal. Cognitive performance was evaluated in MBI+/- individuals, as was the association between cognitive scores and MBI symptom severity. RESULTS: Mean age of the 499 participants was 67, 61% of which were female. MBI+ participants had lower working memory and executive function test scores. Lower cognitive test scores associated with greater MBI burden. DISCUSSION: Our findings support the feasibility of remote, informant-reported behavioral assessment and support its validity by demonstrating a relationship to cognitive test performance using online unsupervised assessments for dementia risk assessment.

scholarly journals Attention and inhibition in Mild Cognitive Impairment and Alzheimer's Disease

2013 ◽  
Vol 6 (3) ◽  
pp. 43-50
Author(s):  
Clara Zancada-Menéndez ◽  
Patricia Sampedro-Piquero ◽  
Azucena Begega ◽  
Laudino López ◽  
Jorge Luis Arias
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Reaction Time ◽  
Alzheimer Disease ◽  
Neuropsychological Test ◽  
Reaction Times ◽  
Stop Signal Task ◽  
Healthy Controls

Mild cognitive impairment is understood as a cognitive deficit of insufficient severity to fulfil the criteria for Alzheimer’s disease. Many studies have attempted to identify which cognitive functions are most affected by this type of impairment and which is the most sensitive neuropsychological test for early detection. This study investigated sustained and selective attention, processing speed, and the inhibition process using a sample of people divided into three groups mild cognitive impairment, Alzheimer disease and cognitively healthy controls selected and grouped based on their scores in the Mini Mental State Examination and Cambridge Cognitive Examination-revised. Three tests from the Cambridge Neuropsychological Test Automated Battery (Motor Screening Task, Stop Signal Task and Reaction time) were used as well as the d2 attention test. The results show that that participants with mild cognitive impairment and Alzheimer disease showed lower levels of concentration compared with the cognitively healthy controls group in the d2 test and longer reaction times in the Cambridge Neuropsychological Test Automated Battery, although the differences were not marked in the latter test. The impairments in basic cognitive processes, such as reaction time and sustained attention, indicate the need to take these functions into account in the test protocols when discriminating between normal aging and early and preclinical dementia processes.

scholarly journals Group-level progressive alterations in brain connectivity patterns revealed by diffusion-tensor brain networks across severity stages in Alzheimer’s disease

2017 ◽  
Author(s):  
J. Rasero ◽  
C. Alonso-Montes ◽  
I. Diez ◽  
L. Olabarrieta-Landa ◽  
L. Remaki ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Disease Severity ◽  
Diffusion Tensor ◽  
Brain Networks ◽  
Stage Ii ◽  
Group Level ◽  
The Brain

AbstractAlzheimer’s disease (AD) is a chronically progressive neurodegenerative disease highly correlated to aging. Whether AD originates by targeting a localized brain area and propagates to the rest of the brain across disease-severity progression is a question with an unknown answer. Here, we aim to provide an answer to this question at the group-level by looking at differences in diffusion-tensor brain networks. In particular, making use of data from Alzheimer's Disease Neuroimaging Initiative (ADNI), four different groups were defined (all of them matched by age, sex and education level): G1 (N1=36, healthy control subjects, Control), G2 (N2=36, early mild cognitive impairment, EMCI), G3 (N3=36, late mild cognitive impairment, LMCI) and G4 (N4=36, AD). Diffusion-tensor brain networks were compared across three disease stages: stage I 3(Control vs EMCI), stage II (Control vs LMCI) and stage III (Control vs AD). The group comparison was performed using the multivariate distance matrix regression analysis, a technique that was born in genomics and was recently proposed to handle brain functional networks, but here applied to diffusion-tensor data. The results were three-fold: First, no significant differences were found in stage I. Second, significant differences were found in stage II in the connectivity pattern of a subnetwork strongly associated to memory function (including part of the hippocampus, amygdala, entorhinal cortex, fusiform gyrus, inferior and middle temporal gyrus, parahippocampal gyrus and temporal pole). Third, a widespread disconnection across the entire AD brain was found in stage III, affecting more strongly the same memory subnetwork appearing in stage II, plus the other new subnetworks,including the default mode network, medial visual network, frontoparietal regions and striatum. Our results are consistent with a scenario where progressive alterations of connectivity arise as the disease severity increases and provide the brain areas possibly involved in such a degenerative process. Further studies applying the same strategy to longitudinal data are needed to fully confirm this scenario.

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