Clusters of cognitive performance predict long-term cognitive impairment in elderly patients with subjective memory complaints and healthy controls.

INTRODUCTION: Patients with subjective memory complaints (SMC) may include subgroups with different neuropsychological profiles and risks of cognitive impairment. METHODS: Cluster analysis was performed on two datasets (n: 630 and 734) comprising demographic and neuropsychological data from SMC and healthy controls (HC). Survival analyses were conducted on clusters. Bayesian model averaging assessed the predictive utility of clusters and other biomarkers. RESULTS: Two clusters with higher and lower than average cognitive performance were detected in SMC and HC. Assignment to the lower performance cluster increased the risk of cognitive impairment in both datasets (hazard ratios: 1.78 and 2.96; Plog-rank: 0.04 and <0.001) and was associated with lower hippocampal volumes and higher tau/amyloid beta 42 ratios in cerebrospinal fluid. The effect of SMC was small and confounded by mood. DISCUSSION: This study provides evidence of the presence of cognitive clusters that hold biological significance and predictive value for cognitive decline in SMC and HC. HIGHLIGHTS: Patients with subjective memory complaints include two cognitive clusters. Assignment to the lower performance cluster increases risk of cognitive impairment. This cluster shows a pattern of biomarkers consistent with incipient Alzheimer's disease pathology. The same cognitive cluster structure is found in healthy controls. The effect of memory complaints on risk of cognitive decline is small and confounded.

Structural neuroimaging changes associated with subjective cognitive decline from a clinical sample.

BACKGROUND: Alzheimer's disease (AD) is characterized by progressive deterioration of cognitive functions. Some individuals with subjective cognitive decline (SCD) are in the early phase of the disease and subsequently progress through the AD continuum. Although neuroimaging biomarkers could be used for the accurate and early diagnosis of preclinical AD, the findings in SCD samples have been heterogeneous. This study established the morphological differences in brain magnetic resonance imaging (MRI) findings between individuals with SCD and those without cognitive impairment based on a clinical sample of patients defined according to SCD-Initiative recommendations. Moreover, we investigated baseline structural changes in the brains of participants who remained stable or progressed to mild cognitive impairment or dementia. METHODS: This study included 309 participants with SCD and 43 healthy controls (HCs) with high-quality brain MRI at baseline. Among the 99 subjects in the SCD group who were followed clinically, 32 progressed (SCDp) and 67 remained stable (SCDnp). A voxel-wise statistical comparison of gray and white matter (WM) volume was performed between the HC and SCD groups and between the HC, SCDp, and SCDnp groups. XTRACT ATLAS was used to define the anatomical location of WM tract damage. Region-of-interest (ROI) analyses were performed to determine brain volumetric differences. White matter lesion (WML) burden was established in each group. RESULTS: Voxel-based morphometry (VBM) analysis revealed that the SCD group exhibited gray matter atrophy in the middle frontal gyri, superior orbital gyri, superior frontal gyri, right rectal gyrus, whole occipital lobule, and both thalami and precunei. Meanwhile, ROI analysis revealed decreased volume in the left rectal gyrus, bilateral medial orbital gyri, middle frontal gyri, superior frontal gyri, calcarine fissure, and left thalamus. The SCDp group exhibited greater hippocampal atrophy (p < 0.001) than the SCDnp and HC groups on ROI analyses. On VBM analysis, however, the SCDp group exhibited increased hippocampal atrophy only when compared to the SCDnp group (p < 0.001). The SCD group demonstrated lower WM volume in the uncinate fasciculus, cingulum, inferior fronto-occipital fasciculus, anterior thalamic radiation, and callosum forceps than the HC group. However, no significant differences in WML number (p = 0.345) or volume (p = 0.156) were observed between the SCD and HC groups. CONCLUSIONS: The SCD group showed brain atrophy mainly in the frontal and occipital lobes. However, only the SCDp group demonstrated atrophy in the medial temporal lobe at baseline. Structural damage in the brain regions was anatomically connected, which may contribute to early memory decline.

Magnetic Resonance-Guided Focused Ultrasound (MRgFUS)-Thalamotomy for Essential Tremor: Lesion Location and Clinical Outcomes.

BACKGROUND: Factors predicting clinical outcomes after MR-guided focused ultrasound (MRgFUS)-thalamotomy in patients with essential tremor (ET) are not well known. OBJECTIVE: To examine the clinical outcomes and their relationship with patients' baseline demographic and clinical features and lesion characteristics at 6-month follow-up in ET patients. METHODS: A total of 127 patients were prospectively evaluated at 1 (n = 122), 3 (n = 102), and 6 months (n = 78) after MRgFUS-thalamotomy. Magnetic resonance imaging (MRI) was obtained at 6 months (n = 60). Primary outcomes included: (1) change in the Clinical Rating Scale of Tremor (CRST)-A+B score in the treated hand and (2) frequency and severity of adverse events (AEs) at 6 months. Secondary outcomes included changes in all subitems of the CRST scale in the treated hand, CRST-C, axial tremor (face, head, voice, tongue), AEs, and correlation of primary outcomes at 6 months with lesion characteristics. Statistical analysis included linear mixed, standard, and logistic regression models. RESULTS: Scores for CRST-A+B, CRST-A, CRST-B in the treated hand, CRST-C, and axial tremor were improved at each evaluation (P < 0.001). Five patients had severe AEs at 1 month that became mild throughout the follow-up. Mild AEs occurred in 71%, 45%, and 34% of patients at 1, 3, and 6 months, respectively. Lesion volume was associated with the reduction in the CRST-A (P = 0.003) and its overlapping with the ventralis intermedius nucleus (Vim) nucleus with the reduction in CRST-A+B (P = 0.02) and CRST-B (P = 0.008) at 6 months. CONCLUSIONS: MRgFUS-thalamotomy improves hand and axial tremor in ET patients. Transient and mild AEs are frequent. Lesion volume and location are associated with tremor reduction. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Diferencias neuropsicológicas en la enfermedad de Alzheimer en función de la edad de presentación / Neuropsychological differences in Alzheimer's disease depending on the age of onset

Introducción La enfermedad de Alzheimer (EA) es la forma más común de demencia entre las personas mayores. La enfermedad de Alzheimer de inicio precoz (EAIP) se ha definido como una demencia debido a EA que se presenta antes de la edad arbitrariamente establecida de 65 años. De los pacientes con EA precoz, 50% debutan con síntomas atípicos y muestran alteraciones neuropsicológicas diferentes de aquellos pacientes que debutan más tarde. Estas atipias conllevan un retraso en el diagnóstico y en el inicio del tratamiento. Métodos Seleccionamos retrospectivamente 359 pacientes con diagnóstico de probable demencia por EA. Subdividimos a los pacientes en tres grupos atendiendo a la edad de aparición de la enfermedad: EAIP, menores de 65 años; EA de inicio tardío (EAIT; entre 65 y 80); y EA de inicio muy tardío (EAIMT; definido como edad de inicio mayor de 80 años) y comparamos sus resultados neuropsicológicos. Resultados Los pacientes de EA con una edad de inicio más joven puntuaron peor en atención, función ejecutiva y habilidades visuoespaciales, mientras que los pacientes de mayor edad puntuaron peor en tareas de memoria y lenguaje. Los pacientes de inicio muy tardío se diferenciaron de los de inicio tardío en un mayor deterioro de la fluidez semántica y la denominación. Conclusión Aunque la edad de 65 años podría corresponder a un punto de separación arbitrario entre la forma precoz y la forma de inicio más tardío de la EA, nuestro estudio demuestra que existen diferencias significativas entre estos grupos desde un punto de vista neuropsicológico. Sin embargo, estas diferencias parecen seguir una tendencia lineal con la edad, en lugar de representar cuadros clínicos fundamentalmente distintos. (AU)

Introduction Early-onset Alzheimer's disease (EOAD) has been defined as a dementia due to AD presenting before the arbitrarily established age of 65 (as opposed to late-onset Alzheimer's disease or LOAD). There is still little research about other age sub-groups, the use of so-called senile dementia has been banished, usually including it within the late-onset Alzheimer's dementia. To the extent of our knowledge, there are no studies comparing the neuropsychological features of very-late-onset patients with early and late-onset ones. Methods We retrospectively selected 359 patients with a diagnosis of probable AD dementia. We subdivided patients into three groups attending to the age of onset of the disease: early-onset AD (EOAD; younger than 65 years old), late-onset AD (LOAD; between 65 and 80) and very-late-onset AD (VLOAD; defined here as onset age older than 80), and then we compared their neuropsychological results. Results AD patients with a younger age at onset scored worse on attention, executive function and visuospatial skills, while older-onset patients scored worse in memory tasks and language. Patients with a very-late-onset differed from the late-onset ones in a greater impairment of semantic fluency and naming. Conclusion Although the point of separation between EOAD and later-onset forms of EA at the age of 65 is an arbitrary one, our study shows that there are significant differences between these groups from a neuropsychological point of view. However, these differences do seem to follow a linear trend with age, rather than representing fundamentally distinct clinical pictures. (AU)

Diferencias neuropsicológicas en la enfermedad de Alzheimer en función de la edad de presentación / Neuropsychological differences in Alzheimer's disease depending on the age of onset

Introducción La enfermedad de Alzheimer (EA) es la forma más común de demencia entre las personas mayores. La enfermedad de Alzheimer de inicio precoz (EAIP) se ha definido como una demencia debido a EA que se presenta antes de la edad arbitrariamente establecida de 65 años. De los pacientes con EA precoz, 50% debutan con síntomas atípicos y muestran alteraciones neuropsicológicas diferentes de aquellos pacientes que debutan más tarde. Estas atipias conllevan un retraso en el diagnóstico y en el inicio del tratamiento. Métodos Seleccionamos retrospectivamente 359 pacientes con diagnóstico de probable demencia por EA. Subdividimos a los pacientes en tres grupos atendiendo a la edad de aparición de la enfermedad: EAIP, menores de 65 años; EA de inicio tardío (EAIT; entre 65 y 80); y EA de inicio muy tardío (EAIMT; definido como edad de inicio mayor de 80 años) y comparamos sus resultados neuropsicológicos. Resultados Los pacientes de EA con una edad de inicio más joven puntuaron peor en atención, función ejecutiva y habilidades visuoespaciales, mientras que los pacientes de mayor edad puntuaron peor en tareas de memoria y lenguaje. Los pacientes de inicio muy tardío se diferenciaron de los de inicio tardío en un mayor deterioro de la fluidez semántica y la denominación. Conclusión Aunque la edad de 65 años podría corresponder a un punto de separación arbitrario entre la forma precoz y la forma de inicio más tardío de la EA, nuestro estudio demuestra que existen diferencias significativas entre estos grupos desde un punto de vista neuropsicológico. Sin embargo, estas diferencias parecen seguir una tendencia lineal con la edad, en lugar de representar cuadros clínicos fundamentalmente distintos. (AU)

Introduction Early-onset Alzheimer's disease (EOAD) has been defined as a dementia due to AD presenting before the arbitrarily established age of 65 (as opposed to late-onset Alzheimer's disease or LOAD). There is still little research about other age sub-groups, the use of so-called senile dementia has been banished, usually including it within the late-onset Alzheimer's dementia. To the extent of our knowledge, there are no studies comparing the neuropsychological features of very-late-onset patients with early and late-onset ones. Methods We retrospectively selected 359 patients with a diagnosis of probable AD dementia. We subdivided patients into three groups attending to the age of onset of the disease: early-onset AD (EOAD; younger than 65 years old), late-onset AD (LOAD; between 65 and 80) and very-late-onset AD (VLOAD; defined here as onset age older than 80), and then we compared their neuropsychological results. Results AD patients with a younger age at onset scored worse on attention, executive function and visuospatial skills, while older-onset patients scored worse in memory tasks and language. Patients with a very-late-onset differed from the late-onset ones in a greater impairment of semantic fluency and naming. Conclusion Although the point of separation between EOAD and later-onset forms of EA at the age of 65 is an arbitrary one, our study shows that there are significant differences between these groups from a neuropsychological point of view. However, these differences do seem to follow a linear trend with age, rather than representing fundamentally distinct clinical pictures. (AU)

[Neuropsychological differences in Alzheimer's disease depending on the age of onset]. / Diferencias neuropsicológicas en la enfermedad de Alzheimer en función de la edad de presentación.

INTRODUCTION: Early-onset Alzheimer's disease (EOAD) has been defined as a dementia due to AD presenting before the arbitrarily established age of 65 (as opposed to late-onset Alzheimer's disease or LOAD). There is still little research about other age sub-groups, the use of so-called senile dementia has been banished, usually including it within the late-onset Alzheimer's dementia. To the extent of our knowledge, there are no studies comparing the neuropsychological features of very-late-onset patients with early and late-onset ones. METHODS: We retrospectively selected 359 patients with a diagnosis of probable AD dementia. We subdivided patients into three groups attending to the age of onset of the disease: early-onset AD (EOAD; younger than 65 years old), late-onset AD (LOAD; between 65 and 80) and very-late-onset AD (VLOAD; defined here as onset age older than 80), and then we compared their neuropsychological results. RESULTS: AD patients with a younger age at onset scored worse on attention, executive function and visuospatial skills, while older-onset patients scored worse in memory tasks and language. Patients with a very-late-onset differed from the late-onset ones in a greater impairment of semantic fluency and naming. CONCLUSION: Although the point of separation between EOAD and later-onset forms of EA at the age of 65 is an arbitrary one, our study shows that there are significant differences between these groups from a neuropsychological point of view. However, these differences do seem to follow a linear trend with age, rather than representing fundamentally distinct clinical pictures.

Predicting Conversion from Subjective Cognitive Decline to Mild Cognitive Impairment and Alzheimer's Disease Dementia Using Ensemble Machine Learning.

BACKGROUND: Subjective cognitive decline (SCD) may represent a preclinical stage of Alzheimer's disease (AD). Predicting progression of SCD patients is of great importance in AD-related research but remains a challenge. OBJECTIVE: To develop and implement an ensemble machine learning (ML) algorithm to identify SCD subjects at risk of conversion to mild cognitive impairment (MCI) or AD. METHODS: Ninety-nine SCD patients were included. Thirty-two progressed to MCI/AD, while 67 remained stable. To minimize the effect of class imbalance, both classes were balanced, and sensitivity was taken as evaluation metric. Bagging and boosting ML models were developed by using socio-demographic and clinical information, Mini-Mental State Examination and Geriatric Depression Scale (GDS) scores (feature-set 1a); socio-demographic characteristics and neuropsychological tests scores (feature-set 1b) and regional magnetic resonance imaging grey matter volumes (feature-set 2). The most relevant variables were combined to find the best model. RESULTS: Good prediction performances were obtained with feature-sets 1a and 2. The most relevant variables (variable importance exceeding 20%) were: Age, GDS, and grey matter volumes measured in four cortical regions of interests. Their combination provided the optimal classification performance (highest sensitivity and specificity) ensemble ML model, Extreme Gradient Boosting with over-sampling of the minority class, with performance metrics: sensitivity = 1.00, specificity = 0.92 and area-under-the-curve = 0.96. The median values based on fifty random train/test splits were sensitivity = 0.83 (interquartile range (IQR) = 0.17), specificity = 0.77 (IQR = 0.23) and area-under-the-curve = 0.75 (IQR = 0.11). CONCLUSION: A high-performance algorithm that could be translatable into practice was able to predict SCD conversion to MCI/AD by using only six predictive variables.

Medical help-seeking intentions among patients with early Alzheimer's disease.

Background: Limited information is available on the active process of seeking medical help in patients with Alzheimer's disease (AD) at early stages. The aim of this study was to assess the phenomenon of medical help-seeking in early AD and to identify associated factors. Methods: A multicenter, non-interventional study was conducted including patients of 50-90 years of age with prodromal or mild AD (National Institute on Aging/Alzheimer's Association criteria), a Mini-Mental State Examination (MMSE) score ≥ 22, and a Clinical Dementia Rating-Global score (CDR-GS) of 0.5-1.0. A multivariate logistic regression analysis was conducted. Results: A total of 149 patients were included. Mean age (SD) was 72.3 (7.0) years, 50.3% were female, and 87.2% had a CDR-GS score of 0.5. Mean disease duration was 1.4 (1.8) years. Ninety-four (63.1%) patients sought medical help, mostly from neurologists. Patients with help-seeking intentions were mostly female (60.6%) with a CDR-GS score of 0.5 (91.5%) and had a greater awareness of diagnosis, poorer quality of life, more depressive symptoms, and a more severe perception of their condition than their counterparts. Lack of help-seeking intentions was associated with male sex (p = 0.003), fewer years of education (p = 0.005), a low awareness of diagnosis (p = 0.005), and a low emotional consequence of the condition (p = 0.016). Conclusion: Understanding the phenomenon of active medical help-seeking may facilitate the design of specific strategies to improve the detection of cognitive impairment, especially in patients with a lower level of educational attainment and poor awareness of their condition.

Quality of Life and the Experience of Living with Early-Stage Alzheimer's Disease.

BACKGROUND: There is a need to better understand the experience of patients living with Alzheimer's disease (AD) in the early stages. OBJECTIVE: The aim of the study was to evaluate the perception of quality of life in patients with early-stage AD. METHODS: A multicenter, non-interventional study was conducted including patients of 50-90 years of age with prodromal or mild AD, a Mini-Mental State Examination (MMSE) score ≥22, and a Clinical Dementia Rating-Global score (CDR-GS) of 0.5.-1.0. The Quality of Life in Alzheimer 's Disease (QoL-AD) questionnaire was used to assess health-related quality of life. A battery of self-report instruments was used to evaluate different psychological and behavioral domains. Associations between the QoL-AD and other outcome measures were analyzed using Spearman's rank correlations. RESULTS: A total of 149 patients were included. Mean age (SD) was 72.3 (7.0) years and mean disease duration was 1.4 (1.8) years. Mean MMSE score was 24.6 (2.1). The mean QoL-AD score was 37.9 (4.5). Eighty-three percent (n = 124) of patients had moderate-to-severe hopelessness, 22.1% (n = 33) had depressive symptoms, and 36.9% (n = 55) felt stigmatized. The quality of life showed a significant positive correlation with self-efficacy and negative correlations with depression, emotional and practical consequences, stigma, and hopelessness. CONCLUSION: Stigma, depressive symptoms, and hopelessness are frequent scenarios in AD negatively impacting quality of life, even in a population with short disease duration and minimal cognitive impairment.

Grey matter changes on brain MRI in subjective cognitive decline: a systematic review.

INTRODUCTION: People with subjective cognitive decline (SCD) report cognitive deterioration. However, their performance in neuropsychological evaluation falls within the normal range. The present study aims to analyse whether structural magnetic resonance imaging (MRI) reveals grey matter changes in the SCD population compared with healthy normal controls (HC). METHODS: Parallel systematic searches in PubMed and Web of Science databases were conducted, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Quality assessment was completed using the Newcastle-Ottawa Scale (NOS). RESULTS: Fifty-one MRI studies were included. Thirty-five studies used a region of interest (ROI) analysis, 15 used a voxel-based morphometry (VBM) analysis and 10 studies used a cortical thickness (CTh) analysis. Ten studies combined both, VBM or CTh analysis with ROI analysis. CONCLUSIONS: Medial temporal structures, like the hippocampus or the entorhinal cortex (EC), seemed to present grey matter reduction in SCD compared with HC, but the samples and results are heterogeneous. Larger sample sizes could help to better determine if these grey matter changes are consistent in SCD subjects.

Awareness of Diagnosis in Persons with Early-Stage Alzheimer's Disease: An Observational Study in Spain.

INTRODUCTION: Limited information is available on people's experiences of living with Alzheimer's disease (AD) at earlier stages. This study assessed awareness of diagnosis among people with early-stage AD and its impact on different person-centered outcome measures. METHODS: We conducted an observational, cross-sectional study in 21 memory clinics in Spain. Persons aged 50-90 years, diagnosed with prodromal or mild AD (NIA/AA criteria), a Mini Mental State Examination (MMSE) score ≥ 22, and a Clinical Dementia Rating-Global score (CDR-GS) of 0.5 or 1.0 were recruited. The Representations and Adjustment to Dementia Index (RADIX) was used to assess participants' beliefs about their condition and its consequences. RESULTS: A total of 149 persons with early-stage AD were studied. Mean (SD) age was 72.3 (7.0) years and 50.3% were female. Mean duration of AD was 1.4 (1.8) years. Mean MMSE score was 24.6 (2.1) and 87.2% had a CDR-GS score of 0.5. Most participants (n = 84, 57.5%) used a descriptive term related to specific AD symptoms (e.g., memory difficulties) when asked what they called their condition. Participants aware of their diagnosis using the term AD (n = 66, 45.2%) were younger, had more depressive symptoms, and poorer life satisfaction and quality of life compared to those without awareness of their specific diagnosis. Practical and emotional consequences RADIX scores showed a significant negative correlation with Quality of Life in Alzheimer's Disease score (rho = - 0.389 and - 0.413, respectively; p < 0.0001). Years of education was the only predictor of awareness of AD diagnosis [OR = 1.04 (95% CI 1.00-1.08); p = 0.029]. CONCLUSIONS: Awareness of diagnosis was a common phenomenon in persons with early-stage AD negatively impacting their quality of life. Understanding illness representations in earlier stages may facilitate implementing optimized care that supports improved quality of life and well-being.

Blood Pressure and Risk of Cognitive Impairment: The Role of Vascular Disease in Neurodegeneration.

(1) Background: Both cerebral vascular disorders and cognitive decline increase in incidence with age. The role of cerebral vascular disease and hemodynamic changes in the development of cognitive deficits is controversial. The objective of this study was to assess the cardiovascular response during cardiac stress testing in neurologically asymptomatic individuals who developed cognitive impairment several years after previous cardiac stress testing. (2) Methods: This was a retrospective cohort study of patients who underwent cardiac stress testing between January 2001 and December 2010. Patients were followed up until May 2015, and we selected those who developed cognitive dysfunction including dementia, mild cognitive impairment, and subjective cognitive decline, after the stress test. Heart rate and blood pressure both at rest and at peak exercise, and the mean R-R interval at rest were recorded. For each patient who developed cognitive impairment, we selected one matched control who did not show cognitive decline by the end of the follow-up period. (3) Results: From the cohort of 7224 patients, 371 developed cognitive impairment; of these, 186 (124 men) met the inclusion criteria, and 186 of the other patients were selected as matched controls. During follow-up, cognitive impairment appeared 6.2 ± 4.7 years after the cardiac stress test. These patients who had subsequently developed cognitive impairment had significantly lower at-rest systolic, diastolic, and mean blood pressure than controls (p < 0.05). Further, compared with controls, their maximum heart rate was significantly higher at peak exercise. (4) Conclusion: The results from this study suggest that differences in cardiovascular response to stress might be present in individuals who develop cognitive decline. These findings challenge the possibility of assessing blood pressure and heart rate variability at rest and during cardiac stress as potential risk factors associated with cognitive impairment.

Mixed pathologies in pancreatic ß cells from subjects with neurodegenerative diseases and their interaction with prion protein.

Protein misfolding diseases refer to a variety of disorders that develop as a consequence of the misfolding of proteins in various organs. The etiologies of Parkinson's and Alzheimer's disease remain unclear, but it seems that type two diabetes and other prediabetic states could contribute to the appearance of the sporadic forms of these diseases. In addition to amylin deposition, other amyloidogenic proteins implicated in the pathophysiology of neurodegenerative diseases could have important roles in the pathogenesis of this disease. As we have previously demonstrated the presence of α-synuclein deposits in the pancreas of patients with synucleinopathies, as well as tau and Aß deposits in the pancreatic tissue of Alzheimer's disease patients, we studied the immunoreactivity of amylin, tau and α-synuclein in the pancreas of 138 subjects with neurodegenerative diseases or type two diabetes and assessed whether the pancreatic ß-cells of these subjects present cooccurrence of misfolded proteins. Furthermore, we also assessed the pancreatic expression of prion protein (PrP) in these subjects and its interaction, both in the pancreas and brain, with α-synuclein, tau, Aß and amylin. Our study shows, for the first time, that along with amylin, pancreatic α-synuclein, Aß, PrP and tau may contribute together to the complex pathophysiology of type two diabetes and in the appearance of insulin resistance in Alzheimer's and Parkinson's disease. Furthermore, we show that the same mixed pathologies that are observed in the brains of patients with neurodegenerative diseases are also present outside the nervous system. Finally, we provide the first histological evidence of an interaction between PrP and Aß, α-synuclein, amylin or tau in the pancreas and locus coeruleus. These findings will shed more light on the common pathological pathways shared by neurodegenerative diseases and type two diabetes, benefiting the exploration of common therapeutic strategies to prevent or treat these devastating amyloid diseases.

Biomarker counseling, disclosure of diagnosis and follow-up in patients with mild cognitive impairment: A European Alzheimer's disease consortium survey.

OBJECTIVES: Mild cognitive impairment (MCI) is associated with an increased risk of further cognitive decline, partly depending on demographics and biomarker status. The aim of the present study was to survey the clinical practices of physicians in terms of biomarker counseling, management, and follow-up in European expert centers diagnosing patients with MCI. METHODS: An online email survey was distributed to physicians affiliated with European Alzheimer's disease Consortium centers (Northern Europe: 10 centers; Eastern and Central Europe: 9 centers; and Southern Europe: 15 centers) with questions on attitudes toward biomarkers and biomarker counseling in MCI and dementia. This included postbiomarker counseling and the process of diagnostic disclosure of MCI, as well as treatment and follow-up in MCI. RESULTS: The response rate for the survey was 80.9% (34 of 42 centers) across 20 countries. A large majority of physicians had access to biomarkers and found them useful. Pre- and postbiomarker counseling varied across centers, as did practices for referral to support groups and advice on preventive strategies. Less than half reported discussing driving and advance care planning with patients with MCI. CONCLUSIONS: The variability in clinical practices across centers calls for better biomarker counseling and better training to improve communication skills. Future initiatives should address the importance of communicating preventive strategies and advance planning.

Psychosocial Adjustment to Illness Scale in family caregivers of patients with Parkinson's Disease: Spanish validation study.

Psychosocial adjustment to a complex and disabling long-term condition like Parkinson´s disease is a complex, dynamic, cyclical and interactive process. Family caregivers, face multiple challenges that require a significant effort in terms of psychosocial adjustment, which must be considered by healthcare professionals in order to provide a holistic care. The patients' self-report version of the Psychosocial Adjustment to Illness Scale (PAIS-SR), which has been validated in Spain for use in Parkinson's disease, is designed to evaluate the psychosocial adjustment of patients. Our purpose was to validate the Spanish PAIS-SR version for caregivers of patients with Parkinson's disease. An open, national cross-sectional study with one point-in-time evaluation and retest was carried out in 450 family caregivers of patients with Parkinson's disease. Data were collected in Spain from April 2016 to September 2017. The psychometric analysis performed showed that the Spanish version of the PAIS-SR for caregivers presents adequate indicators of reliability, internal and external validity, and is structured according to the seven-domain model proposed by the author of the instrument.

Evaluation of a psychoeducational intervention compared with education in people with Parkinson's disease and their informal caregivers: a quasi-experimental study.

AIM: To evaluate the effects of a psychoeducational intervention compared with an education programme to strengthen quality of life, psychosocial adjustment, and coping in people with Parkinson's disease and their informal caregivers. DESIGN: A quasi-experimental study was performed with repeated measures at baseline, after the intervention and 6 months post-intervention. METHODS: The study was carried out at seven primary care centres from 2015-2017. A total of 140 people with Parkinson's and 127 informal caregivers were allocated to the experimental and the control groups. The experimental group received a 9-week psychoeducational intervention, whereas the control group received a 5-week education programme. Repeated measures ANOVA were used to test differences in quality of life, psychosocial adjustment, and coping between the experimental and control groups and over time. RESULTS: Patients and informal caregivers in both the experimental and control groups showed significantly better psychosocial adjustment at the post-intervention measurement compared with baseline data. We also found significantly greater quality of life in patients and coping skills in caregivers after the end of the interventions in the experimental and control groups. Nevertheless, no significant differences were identified on the outcomes at the 6-month post-intervention measurement. CONCLUSION: The effect of the psychoeducational intervention was not different from the effect of the education programme. The strategies applied in both interventions followed a group approach led by a multidisciplinary team covering information about PD, healthy lifestyles, and social resources. They might be easily sustained in Primary Care to improve care for people with Parkinson's and informal caregivers.

Multicenter Validation of Metabolic Abnormalities Related to PSP According to the MDS-PSP Criteria.

It remains unclear whether the supportive imaging features described in the diagnostic criteria for progressive supranuclear palsy (PSP) are suitable for the full clinical spectrum. The aim of the current study was to define and cross-validate the pattern of glucose metabolism in the brain associated with a diagnosis of different PSP variants. A retrospective multicenter cohort study performed on 73 PSP patients who were referred for a fluorodeoxyglucose positron emission tomography PET scan: PSP-Richardson's syndrome, n = 47; PSP-parkinsonian variant, n = 18; and progressive gait freezing, n = 8. In addition, we included 55 healthy controls and 58 Parkinson's disease (PD) patients. Scans were normalized by global mean activity. We analyzed the regional differences in metabolism between the groups. Moreover, we applied a multivariate analysis to obtain a PSP-related pattern that was cross-validated in independent populations at the individual level. Group analysis showed relative hypometabolism in the midbrain, basal ganglia, thalamus, and frontoinsular cortices and hypermetabolism in the cerebellum and sensorimotor cortices in PSP patients compared with healthy controls and PD patients, the latter with more severe involvement in the basal ganglia and occipital cortices. The PSP-related pattern obtained confirmed the regions described above. At the individual level, the PSP-related pattern showed optimal diagnostic accuracy to distinguish between PSP and healthy controls (sensitivity, 80.4%; specificity, 96.9%) and between PSP and PD (sensitivity, 80.4%; specificity, 90.7%). Moreover, PSP-Richardson's syndrome and PSP-parkinsonian variant patients showed significantly more PSP-related pattern expression than PD patients and healthy controls. The glucose metabolism assessed by fluorodeoxyglucose PET is a useful and reproducible supportive diagnostic tool for PSP-Richardson's syndrome and PSP-parkinsonian variant. © 2020 International Parkinson and Movement Disorder Society.

18F-FDG-PET Imaging Patterns in Autoimmune Encephalitis: Impact of Image Analysis on the Results.

Brain positron emission tomography imaging with 18Fluorine-fluorodeoxyglucose (FDG-PET) has demonstrated utility in suspected autoimmune encephalitis. Visual and/or assisted image reading is not well established to evaluate hypometabolism/hypermetabolism. We retrospectively evaluated patients with autoimmune encephalitis between 2003 and 2018. Patients underwent EEG, brain magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) sampling and autoantibodies testing. Individual FDG-PET images were evaluated by standard visual reading and assisted by voxel-based analyses, compared to a normal database. For the latter, three different methods were performed: two based on statistical surface projections (Siemens syngo.via Database Comparison, and 3D-SSP Neurostat) and one based on statistical parametric mapping (SPM12). Hypometabolic and hypermetabolic findings were grouped to identify specific patterns. We found six cases with definite diagnosis of autoimmune encephalitis. Two cases had anti-LGI1, one had anti-NMDA-R and two anti-CASPR2 antibodies, and one was seronegative. 18F-FDG-PET metabolic abnormalities were present in all cases, regardless of the method of analysis. Medial-temporal and extra-limbic hypermetabolism were more clearly depicted by voxel-based analyses. We found autoantibody-specific patterns in line with the literature. Statistical surface projection (SSP) methods (Neurostat and syngo.via Database Comparison) were more sensitive and localized larger hypermetabolic areas. As it may lead to comparable and accurate results, visual analysis of FDG-PET studies for the diagnosis of autoimmune encephalitis benefits from voxel-based analysis, beyond the approach based on MRI, CSF sample and EEG.

Coupling of cerebral blood flow and functional connectivity is decreased in healthy aging.

Aging leads to cerebral perfusion and functional connectivity changes that have been assessed using various neuroimaging techniques. In addition, a link between these two parameters has been demonstrated in healthy young adults. In this work, we employed arterial spin labeling (ASL) fMRI to measure global and voxel-wise differences in cerebral blood flow (CBF) and intrinsic connectivity contrast (ICC) in the resting state in a group of cognitively normal elderly subjects and a group of cognitively normal young subjects, in order to assess the effects of aging on CBF-ICC coupling, which had not been previously evaluated. Our results showed age-related global and regional CBF decreases in prefrontal mesial areas, lateral frontal regions, insular cortex, lateral parietal areas, precuneus and occipital regions. Subcortically, perfusion was reduced in the medial thalamus and caudate nucleus. ICC was also found reduced with age in prefrontal cortical areas and insular cortex, affecting key nodes of the default mode and salience networks. Areas of ICC and CBF decrease partially overlapped, however, the CBF reduction was more extensive and encompassed more areas. This dissociation was accompanied by a decrease in CBF-ICC coupling. These results suggest that aging leads to a disruption in the relationship between CBF and intrinsic functional connectivity that could be due to neurovascular dysregulation.