scholarly journals TMA-93 for Diagnosing Amnestic Mild Cognitive Impairment: A Comparison With the Free and Cued Selective Reminding Test

2019 ◽  
Vol 34 (5) ◽  
pp. 322-328 ◽  
Author(s):  
Silvia Rodrigo-Herrero ◽  
Cristóbal Carnero-Pardo ◽  
Carlota Méndez-Barrio ◽  
Miguel De Miguel-Tristancho ◽  
Eugenia Graciani-Cantisán ◽  
...  

Background:TMA-93 examines binding by images, an advantage for the less educated individuals.Aim:To compare the discriminative validity of TMA-93 against the picture version of Free and Cued Selective Reminding Test (FCSRT) to distinguish patients with amnestic mild cognitive impairment (aMCI) from normal controls (NCs) without excluding less educated individuals.Methods:Design:Phase I diagnostic evaluation study.Participants:A total of 30 patients with aMCI and 30 NCs matched for sociodemographics variables.Statistical Analysis:The diagnostic accuracy for each test was calculated by conducting receiver operating characteristic curve analysis. Hanley and McNeil method was used to compare diagnostic accuracy of different tests on the same sample.Results:Up to 41.7% of the sample had less than a first grade of education. Both tests showed excellent diagnostic accuracy. The comparisons did not show significant differences.Conclusions:TMA-93 is so accurate as FCSRT to differentiate aMCI from controls including less educated individuals. The test could be considered as a choice in this sociodemographic context.

Author(s):  
Thammanard Charernboon

Aim: To examine whether education adjusted cut-off points of the Thai version of the ACE-III improve diagnostic accuracy in the detection of mild cognitive impairment (MCI) and dementia. Materials & methods: There were 172 participants consisting of 70 normal controls, 49 people with MCI and 53 patients with dementia. Results: To screen for MCI, the adjusted for education method yielded greater accuracy for the area under the receiver operating characteristic curve (AuROC) than the unadjusted method (0.9–0.92 vs 0.86). For the detection of dementia, when applying the education correction, AuROC increased from 0.87 (unadjusted) to 0.91 for the education >6 group, but there was no improvement for education ≤6 group (AuROC 0.86). Conclusion: The use of adjusted cut-off score for education level could increase the diagnostic accuracy of the test.


2021 ◽  
Vol 36 ◽  
pp. 153331752110259
Author(s):  
Andrea Luque-Tirado ◽  
Silvia Rodrigo-Herrero ◽  
María Bernal Sánchez-Arjona ◽  
Emilio Franco-Macías

Objective: To first validate the diagnostic accuracy of the “Triana Test,” a new story recall test based on emotional material. Method: A phase I study of validation. We included 55 patients with amnestic Mild Cognitive Impairment and 69 healthy controls, diagnosed according to the “Memory Associative Test of the district of Seine-Saint-Denis” (TMA-93), and matched by age, gender, and educational level. The Triana Test’s diagnostic accuracy was calculated by ROC curve analysis and Spearman correlations estimated its convergent validity with a hippocampal memory test, the Free and Cued Selective Reminding Test with Immediate Recall (FCSRT+IR). Results: The “Triana Test” immediate and delayed recalls showed adequate diagnostic accuracy (AUC ≥ 0,74). The delayed free recall showed the highest diagnostic accuracy (AUC = 0.86). Correlations with the FCSRT+IR were moderate to strong. Conclusions: The “Triana Test” demonstrated accuracy for discriminating amnestic Mild Cognitive Impairment patients from healthy controls and convergent validity with the FCSRT+IR.


Author(s):  
Sookjaroen Tangwongchai ◽  
Itthipol Tawankanjanachot ◽  
Chavit Tunvirachaisakul ◽  
Thitiporn Supasitthumrong ◽  
Solaphat Hemrungrojn ◽  
...  

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.


2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Thammanard Charernboon

Purpose. To investigate the diagnostic accuracy of the overlapping infinity loops, wire cube, and clock drawing tests (CDT) in the detection of mild cognitive impairment (MCI) and dementia. Method. The participants were 60 normal controls (NC), 35 patients with MCI, and 47 patients with mild dementia. Results. The results illustrate that infinity loops, cube, or CDT were not able to discriminate between NC and MCI groups. In dementia detection, the CDT had the highest diagnostic accuracy (sensitivity 76.6% and specificity 87.4%) followed by infinity loops (sensitivity 63.8% and specificity 91.6%) and cube (sensitivity 93.6% and specificity 46.3%). Conclusion. This study demonstrates that the three drawing tests are sensitive detectors of dementia but not MCI.


2012 ◽  
Vol 25 (4) ◽  
pp. 627-634 ◽  
Author(s):  
Onésimo Juncos-Rabadán ◽  
David Facal ◽  
Cristina Lojo-Seoane ◽  
Arturo X. Pereiro

ABSTRACTBackground: Difficulty in retrieving people's names is very common in the early stages of Alzheimer's disease and mild cognitive impairment. Such difficulty is often observed as the tip-of-the-tongue (TOT) phenomenon. The main aim of this study was to explore whether a famous people's naming task that elicited the TOT state can be used to discriminate between amnestic mild cognitive impairment (aMCI) patients and normal controls.Methods: Eighty-four patients with aMCI and 106 normal controls aged over 50 years performed a task involving naming 50 famous people shown in pictures. Univariate and multivariate regression analyses were used to study the relationships between aMCI and semantic and phonological measures in the TOT paradigm.Results: Univariate regression analyses revealed that all TOT measures significantly predicted aMCI. Multivariate analysis of all these measures correctly classified 70% of controls (specificity) and 71.6% of aMCI patients (sensitivity), with an AUC (area under curve ROC) value of 0.74, but only the phonological measure remained significant. This classification value was similar to that obtained with the Semantic verbal fluency test.Conclusions: TOTs for proper names may effectively discriminate aMCI patients from normal controls through measures that represent one of the naming processes affected, that is, phonological access.


2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Qiongling Li ◽  
Xinwei Li ◽  
Xuetong Wang ◽  
Yuxia Li ◽  
Kuncheng Li ◽  
...  

Previous studies have demonstrated that amnestic mild cognitive impairment (aMCI) has disrupted properties of large-scale cortical networks based on cortical thickness and gray matter volume. However, it is largely unknown whether the topological properties of cortical networks based on geometric measures (i.e., sulcal depth, curvature, and metric distortion) change in aMCI patients compared with normal controls because these geometric features of cerebral cortex may be related to its intrinsic connectivity. Here, we compare properties in cortical networks constructed by six different morphological features in 36 aMCI participants and 36 normal controls. Six cortical features (3 volumetric and 3 geometric features) were extracted for each participant, and brain abnormities in aMCI were identified by cortical network based on graph theory method. All the cortical networks showed small-world properties. Regions showing significant differences mainly located in the medial temporal lobe and supramarginal and right inferior parietal lobe. In addition, we also found that the cortical networks constructed by cortical thickness and sulcal depth showed significant differences between the two groups. Our results indicated that geometric measure (i.e., sulcal depth) can be used to construct network to discriminate individuals with aMCI from controls besides volumetric measures.


Author(s):  
Eun-Ji Choi ◽  
Bum Joon Kim ◽  
Hyung-Ji Kim ◽  
Miseon Kwon ◽  
Noh Eul Han ◽  
...  

<b><i>Introduction:</i></b> False memory, observed as intrusion errors or false positives (FPs), is prevalent in patients with Alzheimer’s disease, but has yet to be thoroughly investigated in patients with amnestic mild cognitive impairment (a-MCI) with Alzheimer’s disease pathology (ADP). We analyzed false versus veridical memory in individuals with a-MCI and measured the utility of false memory for ADP discrimination. <b><i>Methods:</i></b> Patients with a-MCI who received neuropsychological testing and amyloid PET were included. Patients were categorized into “with” and “without ADP” groups according to PET results. Memory tests assessed veridical and false memory, and the verity of patient responses was analyzed. A logistic regression model was used to evaluate false memory efficiency in discriminating ADP, and the sensitivity and specificity at the optimal level were estimated using the receiver-operating characteristic curve. <b><i>Results:</i></b> Thirty-seven ADP and 46 non-ADP patients were enrolled. The ADP group made more FPs in the recognition tests, and their response verity was significantly lower in every delayed memory test. No group difference, however, was observed in the veridical memory. The logistic regression analysis demonstrated that as the FPs increased, the risk of ADP increased 1.31 and 1.36 times in the verbal and visual recognition tests, respectively. The discriminatory accuracy of the FPs was estimated “low” to “moderate” in the visual and verbal recognition, respectively, with an optimal cutoff above 2.5. <b><i>Conclusion:</i></b> Increased false memory was the only feature to discriminate ADP from non-ADP in individuals with a-MCI. Further studies regarding false memory and its mechanism are warranted.


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