scholarly journals APOE ɛ4 Allele and Financial Capacity Performance in Mild Alzheimer’s Disease: A Pilot Study

2021 ◽  
Vol 5 (1) ◽  
pp. 93-97
Author(s):  
Vaitsa Giannouli ◽  
Magda Tsolaki
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neuropsychological Tests ◽  
Property Law ◽  
Legal Capacity ◽  
Specific Test ◽  
Cognitive Domains ◽  
Financial Capacity ◽  
E4 Allele ◽  
Capacity Performance

This study aims to explore a little investigated topic, i.e., whether the presence of the APOE eɛ4 allele in patients with a diagnosis of mild Alzheimer’s disease (AD) can influence financial capacity. Twenty-eight elders with mild AD carrying the APOE ɛ4 allele and 28 matched non-carrier patients were examined with an extensive battery of neuropsychological tests, and a specific test measuring financial capacity: Legal Capacity for Property Law Transactions Assessment Scale (LCPLTAS). The presence of the APOE ɛ4 allele does not differentiate the group of mild AD patients regarding a number of cognitive domains necessary for financial capacity scores as measured by LCPLTAS.

Development, Spanish Normative Data, and Validation of a Social Cognition Battery in Prodromal Alzheimer’s Disease and Multiple Sclerosis

2020 ◽  
Author(s):  
Alfonso Delgado-Álvarez ◽  
Vanesa Pytel ◽  
Cristina Delgado-Alonso ◽  
Carmen María Olbrich-Guzmán ◽  
Ana Cortés-Martínez ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Social Cognition ◽  
Neuropsychological Tests ◽  
Normative Data ◽  
Reactivity Index ◽  
Cognitive Domains ◽  
Prodromal Ad ◽  
Prodromal Alzheimer’S Disease

Abstract Objectives The assessment of social cognition changes may be challenging, especially in the earliest stages of some neurodegenerative diseases. Our objective was to validate a social cognition battery from a multidomain perspective. In this regard, we aimed to adapt several tests, collect normative data, and validate them in prodromal Alzheimer’s disease (AD) and multiple sclerosis (MS). Methods A total of 92 healthy controls, 25 prodromal AD, and 39 MS patients were enrolled. Age-, gender-, and education-matched control groups were created for comparisons. Social cognition battery was composed of an emotion-labeling task developed from FACES database, the Story-based Empathy test (SET), the Faux Pas test, and the Interpersonal Reactivity Index. Patients were also evaluated with a comprehensive cognitive battery to evaluate the other cognitive domains. Automatic linear modeling was used to predict each social cognition test’s performance using the neuropsychological tests examining other cognitive domains. Results The reliability of the battery was moderate-high. Significant intergroup differences were found with medium-large effect sizes. Moderate correlations were found between social cognition battery and neuropsychological tests. The emotion labeling task and SET showed moderate correlations with age and education, and age, respectively. Regression-based norms were created considering the relevant demographic variables. Linear regression models including other neuropsychological tests explained between 7.7% and 68.8% of the variance of the social cognition tests performance. Conclusions Our study provides a battery for the assessment of social cognition in prodromal AD and MS with Spanish normative data to improve the evaluation in clinical and research settings.

scholarly journals Determining Filipino Normative Data for a Battery of Neuropsychological Tests: The Filipino Norming Project (FNP)

2019 ◽  
Vol 9 (2) ◽  
pp. 260-270
Author(s):  
Jacqueline Cotoong Dominguez ◽  
Thien Kieu Thi Phung ◽  
Ma. Fe Payno de Guzman ◽  
Krizelle Cleo Fowler ◽  
Macario Reandelar Jr ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neuropsychological Tests ◽  
Normative Data ◽  
Neuropsychological Test ◽  
Test Battery ◽  
Cognitive Domains ◽  
Neuropsychological Test Battery ◽  
The Mean ◽  
Effect Of Age

Background: Filipino normative data for neuropsychological tests are lacking. Objectives: This study aimed to determine the Filipino normative data for the Filipino Norming Project (FNP) Neuropsychological Battery, combining the Alzheimer’s Disease Assessment Scale – Cognitive (ADAS-Cog) and the Neuropsychological Test Battery from the Uniform Dataset of Alzheimer’s Disease Center (UDS-ADC). Methods: We recruited participants 60 years and older with normal cognition (MMSE score of 25 and above and did not fulfill criteria for dementia according to DSM-IV criteria). Psychologists administered the tests to the study participants. We conducted multivariate analyses to study the effect of age, gender, and education on test performance. Results: A total of 191 participants underwent the FNP Neuropsychological Test Battery. The mean age was 68.8 years (SD 5.4). The majority were female (84.1%). The mean score of ADAS-Cog was 9.98 (SD 4.74). The effect of education was prominent throughout the cognitive domains tested while the effect of age was limited to a few cognitive domains. The mean ADAS-Cog scores were 11.80 ± 4.40 for primary education, 9.93 ± 5.08 for secondary, and 8.15 ± 3.95 for tertiary. On average, women scored 2.75 points lower than men and performed better on the verbal components. Men performed better on the constructional praxis component. The same effect of education and gender was observed for the UDS-ADC. Conclusion: For the first time, normative data are available for the ADAS-Cog and UDS-ADC for a Filipino older population. This study stresses the importance of establishing population-specific normative data, taking into account the specific sociocultural and linguistic context of that population.

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.

scholarly journals Financial Capacity and Regional Cerebral Tau in Cognitively Normal Older Adults, Mild Cognitive Impairment, and Alzheimer’s Disease Dementia

2020 ◽  
pp. 1-10
Author(s):  
Christopher Gonzalez ◽  
Nicole S. Tommasi ◽  
Danielle Briggs ◽  
Michael J. Properzi ◽  
Rebecca E. Amariglio ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Early Stage ◽  
Cognitively Normal ◽  
Financial Capacity ◽  
Posterior Cingulate ◽  
Dorsolateral Prefrontal

Background: Financial capacity is often one of the first instrumental activities of daily living to be affected in cognitively normal (CN) older adults who later progress to amnestic mild cognitive impairment (MCI) and Alzheimer’s disease (AD) dementia. Objective: The objective of this study was to investigate the association between financial capacity and regional cerebral tau. Methods: Cross-sectional financial capacity was assessed using the Financial Capacity Instrument –Short Form (FCI-SF) in 410 CN, 199 MCI, and 61 AD dementia participants who underwent flortaucipir tau positron emission tomography from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Linear regression models with backward elimination were used with FCI-SF total score as the dependent variable and regional tau and tau-amyloid interaction as predictors of interest in separate analyses. Education, age sex, Rey Auditory Verbal Learning Test Total Learning, and Trail Making Test B were used as covariates. Results: Significant associations were found between FCI-SF and tau regions (entorhinal: p <  0.001; inferior temporal: p <  0.001; dorsolateral prefrontal: p = 0.01; posterior cingulate: p = 0.03; precuneus: p <  0.001; and supramarginal gyrus: p = 0.005) across all participants. For the tau-amyloid interaction, significant associations were found in four regions (amyloid and dorsolateral prefrontal tau interaction: p = 0.005; amyloid and posterior cingulate tau interaction: p = 0.005; amyloid and precuneus tau interaction: p <  0.001; and amyloid and supramarginal tau interaction: p = 0.002). Conclusion: Greater regional tau burden was modestly associated with financial capacity impairment in early-stage AD. Extending this work with longitudinal analyses will further illustrate the utility of such assessments in detecting clinically meaningful decline, which may aid clinical trials of early-stage AD.

scholarly journals Tele-Neuropsychological Assessment of Alzheimer’s Disease

2021 ◽  
Vol 11 (8) ◽  
pp. 688
Author(s):  
Anna Carotenuto ◽  
Enea Traini ◽  
Angiola Maria Fasanaro ◽  
Gopi Battineni ◽  
Francesco Amenta
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Scoring System ◽  
Neuropsychological Tests ◽  
Word Association ◽  
High Reliability ◽  
Adult Onset ◽  
Or Education ◽  
Newcastle Ottawa Scale ◽  
Novel Coronavirus

Background: Because of the new pandemic caused by the novel coronavirus disease (COVID-19), the demand for telemedicine and telemonitoring solutions has been exponentially raised. Because of its special advantage to treat patients in an emergency without physical presence at a hospital via video conferencing, telemedicine has been used to overcome distance barriers and to improve access to special domains like neurology. In these pandemic times, telemedicine has been also employed as a support for the diagnosis and treatment of adult-onset dementia disorders including Alzheimer’s disease. Objective: In this study, we carried out a systematic literature analysis to clarify if the neuropsychological tests traditionally employed in face-to-face (FTF) contexts are reliable via telemedicine. Methods: A systematic literature search for the past 20 years (2001–2020) was carried out through the medical databases PubMed (Medline) and the Cumulative Index to Nursing and Allied Health Literature (CINAHL). The quality assessment was conducted by adopting the Newcastle Ottawa Scale (NOS) and only studies with a NOS ≥ 7 were included in this review. Results: The Mini-Mental State Examination (MMSE) results do not differ when tests are administered in the traditional FTF modality or by videoconference, and only negligible minor changes in the scoring system were noticeable. Other neuropsychological tests used to support the diagnosis of AD and dementia such as the Token Test, the Comprehension of Words and Phrases (ACWP), the Controlled Oral Word Association Test showed high reliability between the two modalities considered. No differences in the reliability concerning the living setting or education of the subjects were reported. Conclusions: The MMSE, which is the main screening test for dementia, can be administered via telemedicine with minor adaptation in the scoring system. Telemedicine use for other neuropsychological tests also resulted in general reliability and enough accuracy. Cognitive assessment by videoconference is accepted and appreciated and therefore can be used for dementia diagnosis in case of difficulties to performing FTF assessments. This approach can be useful given a personalized medicine approach for the treatment of adult-onset dementia disorders.

scholarly journals Emotion Processing for Arousal and Neutral Content in Alzheimer's Disease

2009 ◽  
Vol 2009 ◽  
pp. 1-6 ◽  
Author(s):  
Corina Satler ◽  
Carlos Uribe ◽  
Carlos Conde ◽  
Sergio Leme Da-Silva ◽  
Carlos Tomaz
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Linear Regression ◽  
Neuropsychological Tests ◽  
Emotional Processing ◽  
Declarative Memory ◽  
Regression Analyses ◽  
Emotional Information ◽  
Educational Levels ◽  
Emotional Rating

Objective. To assess the ability of Alzheimer's disease (AD) patients to perceive emotional information and to assign subjective emotional rating scores to audiovisual presentations.Materials and Methods. 24 subjects (14 with AD, matched to controls for age and educational levels) were studied. After neuropsychological assessment, they watched a Neutral story and then a story with Emotional content.Results. Recall scores for both stories were significantly lower in AD (Neutral and Emotional:P=.001). CG assigned different emotional scores for each version of the test,P=.001, while ratings of AD did not differ,P=.32. Linear regression analyses determined the best predictors of emotional rating and recognition memory for each group among neuropsychological tests battery.Conclusions. AD patients show changes in emotional processing on declarative memory and a preserved ability to express emotions in face of arousal content. The present findings suggest that these impairments are due to general cognitive decline.

Different cognitive profiles between mild cognitive impairment due to cerebral small vessel disease and mild cognitive impairment of Alzheimer’s disease origin

2009 ◽  
Vol 15 (6) ◽  
pp. 898-905 ◽  
Author(s):  
AIHONG ZHOU ◽  
JIANPING JIA
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Processing Speed ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Cognitive Domains ◽  
Vessel Disease

AbstractControversy surrounds the differences of the cognitive profile between mild cognitive impairment resulting from cerebral small vessel disease (MCI-SVD) and mild cognitive impairment associated with prodromal Alzheimer’s disease (MCI-AD). The aim of this study was to explore and compare the cognitive features of MCI-SVD and MCI-AD. MCI-SVD patients (n = 56), MCI-AD patients (n = 30), and normal control subjects (n = 80) were comprehensively evaluated with neuropsychological tests covering five cognitive domains. The performance was compared between groups. Tests that discriminated between MCI-SVD and MCI-AD were identified. Multiple cognitive domains were impaired in MCI-SVD group, while memory and executive function were mainly impaired in MCI-AD group. Compared with MCI-SVD, MCI-AD patients performed relatively worse on memory tasks, but better on processing speed measures. The AVLT Long Delay Free Recall, Digit Symbol Test, and Stroop Test Part A (performance time) in combination categorized 91.1% of MCI-SVD patients and 86.7% of MCI-AD patients correctly. Current study suggested a nonspecific neuropsychological profile for MCI-SVD and a more specific cognitive pattern in MCI-AD. MCI-AD patients demonstrated greater memory impairment with relatively preserved mental processing speed compared with MCI-SVD patients. Tests tapping these two domains might be potentially useful for differentiating MCI-SVD and MCI-AD patients. (JINS, 2009, 15, 898–905.)

scholarly journals Deep Learning With 18F-Fluorodeoxyglucose-PET Gives Valid Diagnoses for the Uncertain Cases in Memory Impairment of Alzheimer’s Disease

2021 ◽  
Vol 13 ◽  
Author(s):  
Wei Zhang ◽  
Tianhao Zhang ◽  
Tingting Pan ◽  
Shilun Zhao ◽  
Binbin Nie ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Deep Learning ◽  
Mental State ◽  
Fdg Pet ◽  
Neuropsychological Tests ◽  
Memory Impairment ◽  
Memory Function ◽  
Disease Assessment ◽  
18F Fluorodeoxyglucose

Objectives: Neuropsychological tests are an important basis for the memory impairment diagnosis in Alzheimer’s disease (AD). However, multiple memory tests might be conflicting within-subjects and lead to uncertain diagnoses in some cases. This study proposed a framework to diagnose the uncertain cases of memory impairment.Methods: We collected 2,386 samples including AD, mild cognitive impairment (MCI), and cognitive normal (CN) using 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) and three different neuropsychological tests (Mini-Mental State Examination, Alzheimer’s Disease Assessment Scale-Cognitive Subscale, and Clinical Dementia Rating) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). A deep learning (DL) framework using FDG-PET was proposed to diagnose uncertain memory impairment cases that were conflicting between tests. Subsequent ANOVA, chi-squared, and t-test were used to explain the potential causes of uncertain cases.Results: For certain cases in the testing set, the proposed DL framework outperformed other methods with 95.65% accuracy. For the uncertain cases, its positive diagnoses had a significant (p &lt; 0.001) worse decline in memory function than negative diagnoses in a longitudinal study of 40 months on average. In the memory-impaired group, uncertain cases were mainly explained by an AD metabolism pattern but mild in extent (p &lt; 0.05). In the healthy group, uncertain cases were mainly explained by a non-energetic mental state (p &lt; 0.001) measured using a global deterioration scale (GDS), with a significant depression-related metabolism pattern detected (p &lt; 0.05).Conclusion: A DL framework for diagnosing uncertain cases of memory impairment is proposed. Proved by longitudinal tracing of its diagnoses, it showed clinical validity and had application potential. Its valid diagnoses also provided evidence and explanation of uncertain cases based on the neurodegeneration and depression mental state.

scholarly journals Posterior Cingulate Cortex Network Predicts Alzheimer's Disease Progression

2020 ◽  
Vol 12 ◽  
Author(s):  
Pei-Lin Lee ◽  
Kun-Hsien Chou ◽  
Chih-Ping Chung ◽  
Tzu-Hsien Lai ◽  
Juan Helen Zhou ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Disease Progression ◽  
Large Scale ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Cognitive Domains ◽  
Atrophy Rate ◽  
Posterior Cingulate ◽  
Structural Networks

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by the accumulation of toxic misfolded proteins, which are believed to have propagated from disease-specific epicenters through their corresponding large-scale structural networks in the brain. Although previous cross-sectional studies have identified potential AD-associated epicenters and corresponding brain networks, it is unclear whether these networks are associated with disease progression. Hence, this study aims to identify the most vulnerable epicenters and corresponding large-scale structural networks involved in the early stages of AD and to evaluate its associations with multiple cognitive domains using longitudinal study design. Annual neuropsychological and MRI assessments were obtained from 23 patients with AD, 37 patients with amnestic mild cognitive impairment (MCI), and 33 healthy controls (HC) for 3 years. Candidate epicenters were identified as regions with faster decline rate in the gray matter volume (GMV) in patients with MCI who progressed to AD as compared to those regions in patients without progression. These epicenters were then further used as pre-defined regions of interest to map the synchronized degeneration network (SDN) in HCs. Spatial similarity, network preference and clinical association analyses were used to evaluate the specific roles of the identified SDNs. Our results demonstrated that the hippocampus and posterior cingulate cortex (PCC) were the most vulnerable AD-associated epicenters. The corresponding PCC-SDN showed significant spatial association with the patterns of GMV atrophy rate in each patient group and the overlap of these patterns was more evident in the advanced stages of the disease. Furthermore, individuals with a higher GMV atrophy rate of the PCC-SDN also showed faster decline in multiple cognitive domains. In conclusion, our findings suggest the PCC and hippocampus are two vulnerable regions involved early in AD pathophysiology. However, the PCC-SDN, but not hippocampus-SDN, was more closely associated with AD progression. These results may provide insight into the pathophysiology of AD from large-scale network perspective.

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