[Neuropsychological profile of frontotemporal lobar degeneration]. / Perfil neuropsicológico de la degeneración lobar frontotemporal.

Frontotemporal lobar degeneration encompasses three different syndromes, with clinical and pathologic commonalities, making diagnosis difficult in early stages. Three subtypes are recognized: frontotemporal dementia and its three variants, corticobasal syndrome and supranuclear palsy syndrome. The objective of this study is to review the neuropsychological features of each syndrome in order to differentiate amongst subtypes as well as from other forms of dementia. We review multiple studies from the literature, highlighting the main clinical features, neuropathology and changes in brain imaging of each syndrome. Subsequently, we describe the neuropsychological profile compared to other dementias, and how it progresses over time. Although there is an overlap amongst the different subtypes of frontotemporal lobar degeneration, neuropsychological profiles can help identify subtypes and discriminate frontotemporal lobar degeneration from other forms of dementia.

Perfil neuropsicológico de la degeneración lobar frontotemporal / Neuropsychological profile of frontotemporal lobar degeneration

La degeneración lobar frontotemporal engloba tres síndromes diferentes, que comparten características clínicas y patológicas comunes, dificultando así su diagnóstico en estadios iniciales. Se incluyen en este grupo las tres variantes de la demencia frontotemporal, el síndrome corticobasal y el síndrome de parálisis supranuclear progresiva. Se ha llevado a cabo una revisión del perfil neuropsicológico de cada uno de los síndromes, que permita clarificar las características fundamentales que los definen y ayudar a diferenciarlos de otras demencias. Se ha hecho una revisión de los diferentes trabajos publicados en la literatura al respecto, describiendo las características clínicas, patológicas y los hallazgos de imagen fundamentales de cada entidad para describir de manera exhaustiva los hallazgos en los diferentes dominios neuropsicológicos y su progresión. Aunque existe un solapamiento entre los síndromes que conforman la degeneración lobar frontotemporal, la comparación del perfil neuropsicológico de las mismas entre sí y frente a otras demencias permite establecer características propias de su perfil neuropsicológico para llevar a cabo un diagnóstico diferencial (AU)

Frontotemporal lobar degeneration encompasses three different syndromes, with clinical and pathologic commonalities, making diagnosis difficult in early stages. Three subtypes are recognized: frontotemporal dementia and its three variants, corticobasal syndrome and supranuclear palsy syndrome. The objective of this study is to review the neuropsychological features of each syndrome in order to differentiate amongst subtypes as well as from other forms of dementia. We review multiple studies from the literature, highlighting the main clinical features, neuropathology and changes in brain imaging of each syndrome. Subsequently, we describe the neuropsychological profile compared to other dementias, and how it progresses over time. Although there is an overlap amongst the different subtypes of frontotemporal lobar degeneration, neuropsychological profiles can help identify subtypes and discriminate frontotemporal lobar degeneration from other forms of dementia (AU)

[Correction: Incorrect spelling of last author name in Neuropsychological profile of frontotemporal lobar degeneration]. / Perfil neuropsicológico de la degeneración lobar frontotemporal.

This corrects the article on p. 79 in volume 38(1), PMID 25963461.

Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia.

PURPOSE: To introduce, evaluate and validate a voxel-based analysis method of ¹8F-FDG PET imaging for determining the probability of Alzheimer's disease (AD) in a particular individual. METHODS: The subject groups for model derivation comprised 80 healthy subjects (HS), 36 patients with mild cognitive impairment (MCI) who converted to AD dementia within 18 months, 85 non-converter MCI patients who did not convert within 24 months, and 67 AD dementia patients with baseline FDG PET scan were recruited from the AD Neuroimaging Initiative (ADNI) database. Additionally, baseline FDG PET scans from 20 HS, 27 MCI and 21 AD dementia patients from our institutional cohort were included for model validation. The analysis technique was designed on the basis of the AD-related hypometabolic convergence index adapted for our laboratory-specific context (AD-PET index), and combined in a multivariable model with age and gender for AD dementia detection (AD score). A logistic regression analysis of different cortical PET indexes and clinical variables was applied to search for relevant predictive factors to include in the multivariable model for the prediction of MCI conversion to AD dementia (AD-Conv score). The resultant scores were stratified into sixtiles for probabilistic diagnosis. RESULTS: The area under the receiver operating characteristic curve (AUC) for the AD score detecting AD dementia in the ADNI database was 0.879, and the observed probability of AD dementia in the six defined groups ranged from 8% to 100% in a monotonic trend. For predicting MCI conversion to AD dementia, only the posterior cingulate index, Mini-Mental State Examination (MMSE) score and apolipoprotein E4 genotype (ApoE4) exhibited significant independent effects in the univariable and multivariable models. When only the latter two clinical variables were included in the model, the AUC was 0.742 (95% CI 0.646 - 0.838), but this increased to 0.804 (95% CI 0.714 - 0.894, bootstrap p=0.027) with the addition of the posterior cingulate index (AD-Conv score). Baseline clinical diagnosis of MCI showed 29.7% of converters after 18 months. The observed probability of conversion in relation to baseline AD-Conv score was 75% in the high probability group (sixtile 6), 34% in the medium probability group (merged sixtiles 4 and 5), 20% in the low probability group (sixtile 3) and 7.5% in the very low probability group (merged sixtiles 1 and 2). In the validation population, the AD score reached an AUC of 0.948 (95% CI 0.625 - 0.969) and the AD-Conv score reached 0.968 (95% CI 0.908 - 1.000), with AD patients and MCI converters included in the highest probability categories. CONCLUSION: Posterior cingulate hypometabolism, when combined in a multivariable model with age and gender as well as MMSE score and ApoE4 data, improved the determination of the likelihood of patients with MCI converting to AD dementia compared with clinical variables alone. The probabilistic model described here provides a new tool that may aid in the clinical diagnosis of AD and MCI conversion.

The impact of silent vascular brain burden in cognitive impairment in Parkinson's disease.

BACKGROUND AND PURPOSE: White matter hyperintensities (WMHs) detected by magnetic resonance imaging (MRI) of the brain are associated with dementia and cognitive impairment in the general population and in Alzheimer's disease. Their effect in cognitive decline and dementia associated with Parkinson's disease (PD) is still unclear. METHODS: We studied the relationship between WMHs and cognitive state in 111 patients with PD classified as cognitively normal (n = 39), with a mild cognitive impairment (MCI) (n = 46) or dementia (n = 26), in a cross-sectional and follow-up study. Cognitive state was evaluated with a comprehensive neuropsychological battery, and WMHs were identified in FLAIR and T2-weighted MRI. The burden of WMHs was rated using the Scheltens scale. RESULTS: No differences in WMHs were found between the three groups in the cross-sectional study. A negative correlation was observed between semantic fluency and the subscore for WMHs in the frontal lobe. Of the 36 non-demented patients re-evaluated after a mean follow-up of 30 months, three patients converted into MCI and 5 into dementia. Progression of periventricular WMHs was associated with an increased conversion to dementia. A marginal association between the increase in total WMHs burden and worsening in the Mini Mental State Examination was encountered. CONCLUSIONS: White matter hyperintensities do not influence the cognitive status of patients with PD. Frontal WMHs have a negative impact on semantic fluency. Brain vascular burden may have an effect on cognitive impairment in patients with PD as WMHs increase overtime might increase the risk of conversion to dementia. This finding needs further confirmation in larger prospective studies.

Genes related to iron metabolism and susceptibility to Alzheimer's disease in Basque population.

Alzheimer's disease (AD) is the most common dementing disorder and presents with a progressive and irreversible cognitive decline of gradual onset. To date, several reports have involved iron in AD physiopathology. In this study, we have analysed TFC2 variant and HFE mutations (H63D and C282Y) in 211 AD patients and 167 controls recruited from an area of the Basque Country. Furthermore, we have studied APOE genotype as it is a well-known risk factor for AD. APOE epsilon 4 allele was associated with an increased risk of AD and an earlier age at onset, whereas no association was found between TFC2 or HFE C282Y mutation and disease susceptibility. The frequency of H63D mutation was higher in control population (29.9%) than in AD patients (18%), suggesting a protective role of this allele on AD either due to the presence of the mutation itself or through the effect of other related genes in the ancestral haplotype in which it is included.