Relationship between neuroimaging and emotion recognition in mild cognitive impairment patients.

OBJECTIVE: Dementia is a major public health problem with high needs for early detection, efficient treatment, and prognosis evaluation. Social cognition impairment could be an early dementia indicator and can be assessed with emotion recognition evaluation tests. The purpose of this study is to investigate the link between different brain imaging modalities and cognitive status in Mild Cognitive Impairment (MCI) patients, with the goal of uncovering potential physiopathological mechanisms based on social cognition performance. METHODS: The relationship between the Reading the Mind in the Eyes Test (RMET) and some clinical and biochemical variables ([18 F]FDG PET-CT and anatomical MR parameters, neuropsychological evaluation, and CSF biomarkers) was studied in 166 patients with MCI by using a correlational approach. RESULTS: The RMET correlated with neuropsychological variables, as well as with structural and functional brain parameters obtained from the MR and FDG-PET imaging evaluation. However, significant correlations between the RMET and CSF biomarkers were not found. DISCUSSION: Different neuroimaging parameters were found to be related to an emotion recognition task in MCI. This analysis identified potential minimally-invasive biomarkers providing some knowledge about the physiopathological mechanisms in MCI.

Assessment of COVID-19 lockdown effect on early Alzheimer Disease progression.

INTRODUCTION: Recently, many aspects of daily life have changed due to the COVID-19 pandemic. Patients with Alzheimer Disease (AD) could be more vulnerable to those daily life changes as experts expected. Mainly, the lockdown involved reduced social contact and cognitive stimulation. So, it could affect the AD expression, increasing the patients' disabilities development. OBJECTIVE: The aim of this study is to evaluate the effect of COVID-19 lockdown on cognitive impairment progression in early AD patients. METHODOLOGY: The participants were patients with mild cognitive impairment due to AD (MCI-AD) from the Neurology Unit (La Fe Hospital), who were neuropsychologically evaluated (cognitive impairment, daily activity tests) twice over 2 years. They were classified into a case group (n = 21), evaluated before and after lockdown condition, and a control group (n = 20), evaluated entirely before the lockdown condition. RESULTS: All the participants showed increasing cognitive impairment and functional deterioration over the 2-year period of evaluation (p < 0.05). However, a faster worsening was not observed as a consequence of the COVID-19 pandemic and the lockdown condition. In fact, the statistical significance observed between the two study groups for daily life activities showed that the worsening was even lesser in the group evaluated under the lockdown condition. CONCLUSION: Medium-term effects of COVID-19 lockdown could not involve an acceleration of the cognitive decline in MCI-AD patients in a 2-year evaluation period. In addition, the least worsening observed for daily living activities in the case group was probably due to the change in routines. Therefore, the common assumption of cognitive worsening of AD progression due to the lockdown in comparison with normal disease progression was not demonstrated in this study, at least for MCI-AD cases. However, more longitudinal studies are required to evaluate long-term effects in these patients.

Discordant Amyloid Status Diagnosis in Alzheimer's Disease.

INTRODUCTION: Early and accurate Alzheimer's disease (AD) diagnosis has evolved in recent years by the use of specific methods for detecting its histopathological features in concrete cases. Currently, biomarkers in cerebrospinal fluid (CSF) and imaging techniques (amyloid PET) are the most used specific methods. However, some results between both methods are discrepant. Therefore, an evaluation of these discrepant cases is required. OBJECTIVE: The aim of this work is to analyze the characteristics of cases showing discrepancies between methods for detecting amyloid pathology. METHODOLOGY: Patients from the Neurology Department of La Fe Hospital (n = 82) were diagnosed using both methods (CSF biomarkers and amyloid-PET). Statistical analyses were performed using logistic regression, and sex and age were included as covariables. Additionally, results of standard neuropsychological evaluations were taken into account in our analyses. RESULTS: The comparison between CSF biomarker (Aß42) and amyloid PET results showed that around 18% of cases were discrepant-mainly CFS-negative and PET-positive cases had CSF levels close to the cut-off point. In addition, a correlation between the episodic memory test and CSF biomarkers levels was observed. However, the same results were not obtained for other neuropsychological domains. In general, CSF- and PET-discrepant cases showed altered episodic memory in around 66% of cases, while 33% showed normal performance. CONCLUSIONS: In common clinical practice at tertiary memory centers, result discrepancies between tests of amyloid status are far more common than expected. However, episodic memory tests remain an important support method for AD diagnosis, especially in cases with discrepant results between amyloid PET and CSF biomarkers.

Depression and Suicide Risk in Mild Cognitive Impairment: The Role of Alzheimer's Disease Biomarkers.

BACKGROUND: Patients with depression and mild cognitive impairment (MCI) are at greater risk of developing dementia. Depression involves a higher risk of suicidal ideation (SI) and suicide attempts (SA). Biomarkers of Alzheimer's Disease (AD) could help to clarify the role of depression and SI in AD. METHOD: Fifty-nine participants aged > 50 with criteria of MCI positive (MCI-AD) (n=22) and negative (MCI-Non AD) (n=24) AD and healthy controls (HC) (n=13) were evaluated. We used the Geriatric Depression Scale (GDS-30) and the GDS-SI factor to measure depression and indirect risk for suicide, respectively. Additionally, AD biomarkers such as amyloid-ß (Aß), hyperphosphorilated tau (P-tau), and total tau (T-tau) in cerebrospinal fluid (CSF) were analyzed. RESULTS: No significant differences between the groups were found in depression. However, in the MCI-AD group, lower P-tau and T-tau levels were related to higher GDS-SI scores, suggesting that MCI-AD patients with lower AD pathology are at a higher risk of suicide. CONCLUSIONS: The result highlights the importance of considering SI in the initial phases of AD, and the potential role of AD biomarkers in early detection of symptoms.

Depression and Suicide Risk in Mild Cognitive Impairment: The Role of Alzheimer’s Disease Biomarkers / Depresión y Riesgo de Suicidio en el Deterioro Cognitivo Leve: el Rol de los Biomarcadores de la Enfermedad de Alzheimer

Background: Patients with depression and mild cognitive impairment (MCI) are at greater risk of developing dementia. Depression involves a higher risk of suicidal ideation (SI) and suicide attempts (SA). Biomarkers of Alzheimer’s Disease (AD) could help to clarify the role of depression and SI in AD. Method: Fifty-nine participants aged > 50 with criteria of MCI positive (MCI-AD) (n=22) and negative (MCI-Non AD) (n=24) AD and healthy controls (HC) (n=13) were evaluated. We used the Geriatric Depression Scale (GDS-30) and the GDS-SI factor to measure depression and indirect risk for suicide, respectively. Additionally, AD biomarkers such as amyloid-ß (Aß), hyperphosphorilated tau (P-tau), and total tau (T-tau) in cerebrospinal fluid (CSF) were analyzed. Results: No significant differences between the groups were found in depression. However, in the MCI-AD group, lower P-tau and T-tau levels were related to higher GDS-SI scores, suggesting that MCI-AD patients with lower AD pathology are at a higher risk of suicide. Conclusions: The result highlights the importance of considering SI in the initial phases of AD, and the potential role of AD biomarkers in early detection of symptoms.(AU)

Antecedentes: Los pacientes con depresión y deterioro cognitivo leve (DCL) tienen un alto riesgo de desarrollar demencia. La depresión implica un alto riesgo de ideación suicida (IS) e intentos de suicidio (AS). Los biomarcadores de la enfermedad de Alzheimer (EA) pueden clarificar el papel de la depresión e IS en la EA. Método: Cincuenta y nueve participantes >50 años con criterios de DCL-EA positivo (DCL-EA; 22) y negativo (DCL-NoEA; 24) y 13 controles sanos. La depresión fue evaluada con la Escala Geriátrica de Depresión (GDS-30) y la IS con el factor GDS-IS. Además, se midieron los siguientes biomarcadores en el líquido cefalorraquídeo: ß-amiloide (ß-A), tau hiperfosforilada (H-tau) y total (T-tau). Resultados: No se encontraron diferencias significativas entre los tres grupos de participantes en depresión o en IS. Sin embargo, en el grupo DCL-EA, niveles más bajos de H-tau y T-tau, indicadores de menor patología EA, se relacionaron significativamente con mayor riesgo de suicidio indirecto. Conclusiones: Este resultado subraya la importancia de considerar la IS en fases iniciales de EA, y el potencial papel de los biomarcadores de EA para detectar sus síntomas.(AU)

Assessment of Screening Approach in Early and Differential Alzheimer's Disease Diagnosis.

BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia in the elderly population. Currently, diagnosis is based on invasive and expensive techniques, so there is a growing need to look for other possible tests, as well as carry out clinical validation. Studies from the literature showed potential diagnosis models, including some AD risk factors (age, gender, ApoE-ε4 genotype) and other variables (biomarkers levels, neuroimaging). Specifically, a recent model was performed from lipid peroxidation compounds in plasma samples to identify patients with early AD. However, there is a lack of studies about clinical validation of these preliminary diagnosis models. METHODS: Plasma samples from participants classified into AD (n = 61), non-AD (n = 17), and healthy (n = 44) were analyzed. In fact, lipid peroxidation compounds were determined by liquid chromatography and mass spectrometry. Then, a previously developed diagnosis model was clinically validated, evaluating some diagnosis indexes. RESULTS: The validation of the preliminary diagnosis model showed satisfactory diagnosis indexes (accuracy 77%, sensitivity 89%, specificity 61%, diagnostic odds ratio 12.5, positive predictive value 76%). Next, a useful screening tool, including the ApoE genotype, was developed, identifying patients with a higher risk of developing AD and improving the corresponding diagnosis indexes (accuracy 82%, sensitivity 81%, specificity 85%, diagnostic odds ratio 23.2, positive predictive value 90.5%). CONCLUSION: A new screening approach could improve the early, minimally invasive, and differential AD diagnosis in the general population.