Comparison of Informant Reports and Neuropsychological Assessment in Mild Cognitive Impairment

2011 ◽  
Vol 26 (7) ◽  
pp. 528-534 ◽  
Author(s):  
Carlo Abbate ◽  
Pietro D. Trimarchi ◽  
Paola Nicolini ◽  
Luigi Bergamaschini ◽  
Carlo Vergani ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Retrospective Study ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Assessment ◽  
Neuropsychological Tests ◽  
Subjective Evaluation ◽  
Structured Interview ◽  
Cognitive Status ◽  
Cognitive Profile ◽  
The One

The aim of this retrospective study was to investigate the accuracy of informant reports on cognitive status in mild cognitive impairment (MCI) by comparing the subjective evaluation made by patients’ relatives with the objective results of neuropsychological assessment. We enrolled 119 MCI outpatients and their relatives. Cognitive impairment was assessed by a battery of standardized neuropsychological tests. Informant reports on cognitive functioning were obtained by means of a structured interview. Subjective and objective evaluations of cognitive status were rated according to the same scoring system in order to enable comparison. All but one relative reported cognitive dysfunctions at the interview, but the kind of cognitive profile emerging from their reports was quite different from the one highlighted by neuropsychological assessment. A subjective evaluation of cognitive status based on informant reports could therefore be useful to identify patients with MCI but is unable to define MCI subtypes.

scholarly journals Distinct Subgroups of Amnestic Mild Cognitive Impairment as Identified by Soft Independent Modeling of Class Analogy

2019 ◽  
Author(s):  
Sookjaroen Tangwongchai ◽  
Itthipol Tawankanjanachot ◽  
Chavit Tunvirachaisakul ◽  
Thitiporn Supasitthumrong ◽  
Solaphat Hemrungrojn ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Tests ◽  
Diagnostic Category ◽  
Principal Component ◽  
Amnestic Mild Cognitive Impairment ◽  
Cognitive Profile ◽  
Support Vector ◽  
Patients At Risk ◽  
Normal Controls

Amnestic mild cognitive impairment (aMCI) is a condition characterized by mild deficits in episodic and semantic memory and learning. The conversion rate of aMCI to Alzheimer disease (AD) is significantly higher in aMCI than in the general population. The aim of this study is to examine whether aMCI is a valid diagnostic category or whether aMCI comprises different subgroups based on cognitive functions. We recruited 60 aMCI patients, 60 with AD and 61 healthy controls who completed neuropsychological tests of the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD-NP) and biomarkers including serum anion gap (AGAP). Principal component analysis, support vector machine and Soft Independent Modeling of Class Analogy (SIMCA) showed that AD patients and controls were highly significantly discrimanted from each other, while patients with aMCI overlap considerably with normal controls. SIMCA showed that 68.3% of the aMCI patients were assigned to the control class (named: aMCI-HC), 15% to AD (aMCI-AD), while 16.6% did not belong to either class (aMCI-strangers). aMCI-HC subjects showed sings of very mild cognitive decline and impaired recall. aMCI-strangers showed signs of mild cognitive impairment with impaired fluency and naming. aMCI-AD cases showed a cognitive profile reminiscent of AD an increased AGAP levels. In conclusion, our SIMCA model may classify subjects afforded a clinical diagnosis of aMCI according to Petersen’s criteria into three clinically relevant subgroups and help in the early detection of AD by identifying aMCI patients at risk to develop AD and those that have an AD prodrome.

scholarly journals Comparison of performance on neuropsychological tests in amnestic Mild Cognitive Impairment and Alzheimer's disease patients

2009 ◽  
Vol 3 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Patrícia Helena Figueirêdo do Vale ◽  
Lívia Spíndola ◽  
Maira Okada de Oliveira ◽  
Cristiane Garcia da Costa Armentano ◽  
Claudia Sellitto Porto ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Executive Functions ◽  
Neuropsychological Assessment ◽  
Neuropsychological Tests ◽  
Delayed Recall ◽  
Immediate Recall ◽  
Visual Organization

Abstract Mild Cognitive Impairment (MCI) can be an intermediate state between normality and dementia in some patients. An early diagnosis, through neuropsychological assessment, could identify individuals at risk of developing dementia. Objective: To verify differences in performance on neuropsychological tests among controls, amnestic MCI (aMCI) and Alzheimer’s disease (AD) patients. Methods: Sixty-eight AD patients (mean age 73.77±7.24; mean schooling 9.04±4.83; 40 women and 28 men), 34 aMCI patients (mean age 74.44±7.05; mean schooling 12.35±4.01; 20 women) and 60 controls (mean age 68.90±7.48; mean schooling 10.72±4.74; 42 women) were submitted to a neuropsychological assessment composed of tasks assessing executive functions, language, constructive abilities, reasoning and memory. Results: There were statistically significant differences in performance across all tests among control, aMCI and AD groups, and also between only controls and AD patients. On comparing control and aMCI groups, we found statistically significant differences in memory tasks, except for immediate recall of Visual Reproduction. There were also statistically significant differences between aMCI and AD groups on tasks of constructive and visuoperceptual abilities, attention, language and memory, except for delayed recall of Visual Reproduction. Conclusions: Neuropsychological assessment was able to discriminate aMCI from AD patients in almost all tests except for delayed recall of Visual Reproduction, visual organization (Hooper) and executive functions (WCST); and discriminate controls from AD patients in all tests, and controls from aMCI patients in all memory tests except for immediate recall of Visual Reproduction.

Identification and Temporal Characterization of Features Associated with the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease

2018 ◽  
Vol 15 (8) ◽  
pp. 751-763 ◽  
Author(s):  
Antonio Martinez-Torteya ◽  
Hugo Gomez-Rueda ◽  
Victor Trevino ◽  
Joshua Farber ◽  
Jose Tamez-Pena ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Tests ◽  
Quantitative Mri ◽  
Rank Test ◽  
Longitudinal Models ◽  
Log Rank Test ◽  
Medical Histories

Background: Diagnosing Alzheimer’s disease (AD) in its earliest stages is important for therapeutic and support planning. Similarly, being able to predict who will convert from mild cognitive impairment (MCI) to AD would have clinical implications. Objectives: The goals of this study were to identify features from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database associated with the conversion from MCI to AD, and to characterize the temporal evolution of that conversion. Methods: We screened the publically available ADNI longitudinal database for subjects with MCI who have developed AD (cases: n=305), and subjects with MCI who have remained stable (controls: n=250). Analyses included 1,827 features from laboratory assays (n=12), quantitative MRI scans (n=1,423), PET studies (n=136), medical histories (n=72), and neuropsychological tests (n=184). Statistical longitudinal models identified features with significant differences in longitudinal behavior between cases and matched controls. A multiple-comparison adjusted log-rank test identified the capacity of the significant predictive features to predict early conversion. Results: 411 features (22.5%) were found to be statistically different between cases and controls at the time of AD diagnosis; 385 features were statistically different at least 6 months prior to diagnosis, and 28 features distinguished early from late conversion, 20 of which were obtained from neuropsychological tests. In addition, 69 features (3.7%) had statistically significant changes prior to AD diagnosis. Conclusion: Our results characterized features associated with disease progression from MCI to AD, and, in addition, the log-rank test identified features which are associated with the risk of early conversion.

Mild Cognitive Impairment: Advantages of a Comprehensive Neuropsychological Assessment

2013 ◽  
Vol 10 (10) ◽  
pp. 1098-1106 ◽  
Author(s):  
E.I. Drexler ◽  
B. Voss ◽  
K. Amunts ◽  
F. Schneider ◽  
U. Habel
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Assessment

scholarly journals Paraoxonase 1, B Vitamins Supplementation, and Mild Cognitive Impairment

2021 ◽  
pp. 1-19
Author(s):  
Joanna Perła-Kaján ◽  
Olga Włoczkowska ◽  
Anetta Zioła-Frankowska ◽  
Marcin Frankowski ◽  
A. David Smith ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Controlled Trial ◽  
Verbal Learning ◽  
Cognitive Status ◽  
B Vitamins ◽  
Paraoxonase 1 ◽  
Phenyl Acetate ◽  
Double Blind ◽  
Trail Making

Background: Identification of modifiable risk factors that affect cognitive decline is important for the development of preventive and treatment strategies. Status of paraoxonase 1 (PON1), a high-density lipoprotein-associated enzyme, may play a role in the development of neurological diseases, including Alzheimer’s disease. Objective: We tested a hypothesis that PON1 status predicts cognition in individuals with mild cognitive impairment (MCI). Methods: Individuals with MCI (n = 196, 76.8-years-old, 60% women) participating in a randomized, double-blind placebo-controlled trial (VITACOG) were assigned to receive a daily dose of folic acid (0.8 mg), vitamin B12 (0.5 mg) and B6 (20 mg) (n = 95) or placebo (n = 101) for 2 years. Cognition was analyzed by neuropsychological tests. Brain atrophy was quantified in a subset of participants (n = 168) by MRI. PON1 status, including PON1 Q192R genotype, was determined by quantifying enzymatic activity of PON1 using paraoxon and phenyl acetate as substrates. Results: In the placebo group, baseline phenylacetate hydrolase (PhAcase) activity of PON1 (but not paraoxonase activity or PON1 Q192R genotype) was significantly associated with global cognition (Mini-Mental State Examination, MMSE; Telephone Inventory for Cognitive Status-modified, TICS-m), verbal episodic memory (Hopkins Verbal Learning Test-revised: Total Recall, HVLT-TR; Delayed Recall, HVLT-DR), and attention/processing speed (Trail Making A and Symbol Digits Modalities Test, SDMT) at the end of study. In addition to PhAcase, baseline iron and triglycerides predicted MMSE, baseline fatty acids predicted SDMT, baseline anti-N-Hcy-protein autoantibodies predicted TICS-m, SDMT, Trail Making A, while BDNF V66M genotype predicted HVLT-TR and HVLT-DR scores at the end of study. B-vitamins abrogated associations of PON1 and other variables with cognition. Conclusion: PON1 is a new factor associated with impaired cognition that can be ameliorated by B-vitamins in individuals with MCI.

scholarly journals Psychometric Properties of the Persian Montreal Cognitive Assessment in Mild Cognitive Impairment and Alzheimer Disease

2021 ◽  
pp. 51-57
Author(s):  
Vahid Rashedi ◽  
Mahshid Foroughan ◽  
Negin Chehrehnegar
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Screening Test ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Cutoff Score ◽  
Persian Version

Introduction: The Montreal Cognitive Assessment (MoCA) is a cognitive screening test widely used in clinical practice and suited for the detection of Mild Cognitive Impairment (MCI). The aims were to evaluate the psychometric properties of the Persian MoCA as a screening test for mild cognitive dysfunction in Iranian older adults and to assess its accuracy as a screening test for MCI and mild Alzheimer disease (AD). Method: One hundred twenty elderly with a mean age of 73.52 ± 7.46 years participated in this study. Twenty-one subjects had mild AD (MMSE score ≤21), 40 had MCI, and 59 were cognitively healthy controls. All the participants were administered the Mini-Mental State Examination (MMSE) to evaluate their general cognitive status. Also, a battery of comprehensive neuropsychological assessments was administered. Results: The mean score on the Persian version of the MoCA and the MMSE were 19.32 and 25.62 for MCI and 13.71 and 22.14 for AD patients, respectively. Using an optimal cutoff score of 22 the MoCA test detected 86% of MCI subjects, whereas the MMSE with a cutoff score of 26 detected 72% of MCI subjects. In AD patients with a cutoff score of 20, the MoCA had a sensitivity of 94% whereas the MMSE detected 61%. The specificity of the MoCA was 70% and 90% for MCI and AD, respectively. Discussion: The results of this study show that the Persian version of the MoCA is a reliable screening tool for detection of MCI and early stage AD. The MoCA is more sensitive than the MMSE in screening for cognitive impairment, proving it to be superior to MMSE in detecting MCI and mild AD.

scholarly journals The Effect of CAG Repeats within the Non-Pathological Range in the HTT Gene on Cognitive Functions in Patients with Subjective Cognitive Decline and Mild Cognitive Impairment

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1051
Author(s):  
Valentina Bessi ◽  
Salvatore Mazzeo ◽  
Silvia Bagnoli ◽  
Giulia Giacomucci ◽  
Assunta Ingannato ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Spatial Ability ◽  
Cognitive Status ◽  
Cag Repeat ◽  
Cag Repeats ◽  
Subjective Cognitive Decline ◽  
Visual Spatial ◽  
Premorbid Intelligence

The Huntingtin gene (HTT) is within a class of genes containing a key region of CAG repeats. When expanded beyond 39 repeats, Huntington disease (HD) develops. Individuals with less than 35 repeats are not associated with HD. Increasing evidence has suggested that CAG repeats play a role in modulating brain development and brain function. However, very few studies have investigated the effect of CAG repeats in the non-pathological range on cognitive performances in non-demented individuals. In this study, we aimed to test how CAG repeats’ length influences neuropsychological scores in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). We included 75 patients (46 SCD and 29 MCI). All patients underwent an extensive neuropsychological battery and analysis of HTT alleles to quantify the number of CAG repeats. Results: CAG repeat number was positively correlated with scores of tests assessing for executive function, visual–spatial ability, and memory in SCD patients, while in MCI patients, it was inversely correlated with scores of visual–spatial ability and premorbid intelligence. When we performed a multiple regression analysis, we found that these relationships still remained, also when adjusting for possible confounding factors. Interestingly, logarithmic models better described the associations between CAG repeats and neuropsychological scores. CAG repeats in the HTT gene within the non-pathological range influenced neuropsychological performances depending on global cognitive status. The logarithmic model suggested that the positive effect of CAG repeats in SCD patients decreases as the number of repeats grows.

Neurocognitive Plasticity Is Associated with Cardiorespiratory Fitness Following Physical Exercise in Older Adults with Amnestic Mild Cognitive Impairment

2021 ◽  
pp. 1-22
Author(s):  
Galit Yogev-Seligmann ◽  
Tamir Eisenstein ◽  
Elissa Ash ◽  
Nir Giladi ◽  
Haggai Sharon ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Aerobic Exercise ◽  
Cardiorespiratory Fitness ◽  
Neuropsychological Tests ◽  
Aerobic Training ◽  
Amnestic Mild Cognitive Impairment ◽  
Control Group ◽  
Memory Encoding

Background: Aerobic training has been shown to promote structural and functional neurocognitive plasticity in cognitively intact older adults. However, little is known about the neuroplastic potential of aerobic exercise in individuals at risk of Alzheimer’s disease (AD) and dementia. Objective: We aimed to explore the effect of aerobic exercise intervention and cardiorespiratory fitness improvement on brain and cognitive functions in older adults with amnestic mild cognitive impairment (aMCI). Methods: 27 participants with aMCI were randomized to either aerobic training (n = 13) or balance and toning (BAT) control group (n = 14) for a 16-week intervention. Pre- and post-assessments included functional MRI experiments of brain activation during associative memory encoding and neural synchronization during complex information processing, cognitive evaluation using neuropsychological tests, and cardiorespiratory fitness assessment. Results: The aerobic group demonstrated increased frontal activity during memory encoding and increased neural synchronization in higher-order cognitive regions such as the frontal cortex and temporo-parietal junction (TPJ) following the intervention. In contrast, the BAT control group demonstrated decreased brain activity during memory encoding, primarily in occipital, temporal, and parietal areas. Increases in cardiorespiratory fitness were associated with increases in brain activation in both the left inferior frontal and precentral gyri. Furthermore, changes in cardiorespiratory fitness were also correlated with changes in performance on several neuropsychological tests. Conclusion: Aerobic exercise training may result in functional plasticity of high-order cognitive areas, especially, frontal regions, among older adults at risk of AD and dementia. Furthermore, cardiorespiratory fitness may be an important mediating factor of the observed changes in neurocognitive functions.

scholarly journals Lipidomic Network of Mild Cognitive Impairment from the Mayo Clinic Study of Aging

2021 ◽  
pp. 1-11
Author(s):  
Xuewei Wang ◽  
Hai Bui ◽  
Prashanthi Vemuri ◽  
Jonathan Graff-Radford ◽  
Clifford R. Jack Jr ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Network Analysis ◽  
Mayo Clinic ◽  
Plasma Lipids ◽  
Amyloid Β ◽  
Cognitive Status ◽  
Correlation Network ◽  
Lipid Species ◽  
Clinic Study

Background: Lipid alterations contribute to Alzheimer’s disease (AD) pathogenesis. Lipidomics studies could help systematically characterize such alterations and identify potential biomarkers. Objective: To identify lipids associated with mild cognitive impairment and amyloid-β deposition, and to examine lipid correlation patterns within phenotype groups Methods: Eighty plasma lipids were measured using mass spectrometry for 1,255 non-demented participants enrolled in the Mayo Clinic Study of Aging. Individual lipids associated with mild cognitive impairment (MCI) were first identified. Correlation network analysis was then performed to identify lipid species with stable correlations across conditions. Finally, differential correlation network analysis was used to determine lipids with altered correlations between phenotype groups, specifically cognitively unimpaired versus MCI, and with elevated brain amyloid versus without. Results: Seven lipids were associated with MCI after adjustment for age, sex, and APOE4. Lipid correlation network analysis revealed that lipids from a few species correlated well with each other, demonstrated by subnetworks of these lipids. 177 lipid pairs differently correlated between cognitively unimpaired and MCI patients, whereas 337 pairs of lipids exhibited altered correlation between patients with and without elevated brain amyloid. In particular, 51 lipid pairs showed correlation alterations by both cognitive status and brain amyloid. Interestingly, the lipids central to the network of these 51 lipid pairs were not significantly associated with either MCI or amyloid, suggesting network-based approaches could provide biological insights complementary to traditional association analyses. Conclusion: Our attempt to characterize the alterations of lipids at network-level provides additional insights beyond individual lipids, as shown by differential correlations in our study.

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