Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics

Alzheimer's Disease (AD) represents the most prevalent form of dementia and is considered a major health problem due to its high prevalence and its economic costs. An accurate characterization of the underlying neural dynamics in AD is crucial in order to adopt effective treatments. In this regard, mild cognitive impairment (MCI) is an important clinical entity, since it is a risk-state for developing dementia. In the present study, coupling patterns of 111 resting-state electroencephalography (EEG) recordings were analyzed. Specifically, we computed Cross-Approximate Entropy (Cross-ApEn) and Cross-Sample Entropy (Cross-SampEn) of 37 patients with dementia due to AD, 37 subjects with MCI, and 37 healthy control (HC) subjects. Our results showed that Cross-SampEn outperformed Cross-ApEn, revealing higher number of significant connections among the three groups (Kruskal-Wallis test, FDR-corrected p-values < 0.05). AD patients exhibited statistically significant lower similarity values at θ and β1 frequency bands compared to HC. MCI is also characterized by a global decrease of similarity in all bands, being only significant at β1. These differences shows that β band might play a significant role in the identification of early stages of AD. Our results suggest that Cross-SampEn could increase the insight into brain dynamics at different AD stages. Consequently, it may contribute to develop early AD biomarkers, potentially useful as diagnostic information

Biology and use of the Pacific fat sleeper Dormitator latifrons (Richardson, 1844): state of the art review

The present work is a review of the literature on the native Mexican fish Dormitator latifrons. The aim is to contribute to the integration and systematization of current knowledge to make it easier to identify existing knowledge gaps and breakthroghs Moreover, promote the successful cultivation and protection of this species whose consumption is increasing in Latin America. A review of the articles related to D. latifrons published in international and regional databases was carried out. The articles reviewed focus on taxonomy and systematics, phylogenetic, geographic distribution, ecology, physiology, reproduction, development, pathology, health, and the technologies used to cultivate this fish species. The conclusion is that, even though the cultivation of D. latifrons is of commercial interest in some countries, there are still significant gaps in our knowledge of biology and, consequently, the domestication potential of the species. Filling these gaps will require systematic research efforts on protecting natural populations and improving mass cultivation techniques.Fil: Vega Villasante, Fernando. Universidad de Guadalajara; MéxicoFil: Ruiz González, Luis E.. Universidad de Guadalajara; MéxicoFil: Chong Carrillo, Olimpia. Universidad de Guadalajara; MéxicoFil: Basto Rosales, Mao E. R.. Tecnológico Nacional de Bahía de Banderas; MéxicoFil: Palma Cancino, David J.. Universidad de Guadalajara; MéxicoFil: Tintos Gómez, Adrián. Universidad Tecnológica de Manzanillo; MéxicoFil: Montoya Martínez, Cynthia E.. Universidad de Guadalajara; MéxicoFil: Kelly Gutiérrez, Liza D.. Universidad de Guadalajara; MéxicoFil: Guerrero Galván, Saúl R.. Universidad de Guadalajara; MéxicoFil: Ponce Palafox, Jesús T.. Universidad Autónoma de Nayarit; MéxicoFil: Zapata, Ana. Universidad de Guadalajara; MéxicoFil: Musin, Gabriela Eliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto Nacional de Limnología. Universidad Nacional del Litoral. Instituto Nacional de Limnología; ArgentinaFil: Badillo Zapata, Daniel. Universidad de Guadalajara; Méxic

Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics

[EN] Alzheimer's Disease (AD) represents the most prevalent form of dementia and is considered a major health problem due to its high prevalence and its economic costs. An accurate characterization of the underlying neural dynamics in AD is crucial in order to adopt effective treatments. In this regard, mild cognitive impairment (MCI) is an important clinical entity, since it is a risk-state for developing dementia. In the present study, coupling patterns of 111 resting-state electroencephalography (EEG) recordings were analyzed. Specifically, we computed Cross-Approximate Entropy (Cross-ApEn) and Cross-Sample Entropy (Cross-SampEn) of 37 patients with dementia due to AD, 37 subjects with MCI, and 37 healthy control (HC) subjects. Our results showed that Cross-SampEn outperformed Cross-ApEn, revealing higher number of significant connections among the three groups (Kruskal-Wallis test, FDR-corrected p-values < 0.05). AD patients exhibited statistically significant lower similarity values at θ and β 1 frequency bands compared to HC. MCI is also characterized by a global decrease of similarity in all bands, being only significant at β 1

Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer’s Disease and Mild Cognitive Impairment

The discrimination of early Alzheimer’s disease (AD) and its prodromal form (i.e., mild cognitive impairment, MCI) from cognitively healthy control (HC) subjects is crucial since the treatment is more effective in the first stages of the dementia. The aim of our study is to evaluate the usefulness of a methodology based on electroencephalography (EEG) to detect AD and MCI. EEG rhythms were recorded from 37 AD patients, 37 MCI subjects and 37 HC subjects. Artifact-free trials were analyzed by means of several spectral and nonlinear features: relative power in the conventional frequency bands, median frequency, individual alpha frequency, spectral entropy, Lempel–Ziv complexity, central tendency measure, sample entropy, fuzzy entropy, and auto-mutual information. Relevance and redundancy analyses were also conducted through the fast correlation-based filter (FCBF) to derive an optimal set of them. The selected features were used to train three different models aimed at classifying the trials: linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and multi-layer perceptron artificial neural network (MLP). Afterwards, each subject was automatically allocated in a particular group by applying a trial-based majority vote procedure. After feature extraction, the FCBF method selected the optimal set of features: individual alpha frequency, relative power at delta frequency band, and sample entropy. Using the aforementioned set of features, MLP showed the highest diagnostic performance in determining whether a subject is not healthy (sensitivity of 82.35% and positive predictive value of 84.85% for HC vs. all classification task) and whether a subject does not suffer from AD (specificity of 79.41% and negative predictive value of 84.38% for AD vs. all comparison). Our findings suggest that our methodology can help physicians to discriminate AD, MCI and HC

The spatial ecology of red deer under different land use and management scenarios: Protected areas, mixed farms and fenced hunting estates

The knowledge regarding the spatial ecology of red deer (Cervus elaphus) in different environments is crucial if effective management actions are to be designed. However, this knowledge continues to be scarce in the complex contexts of mixed land use and management circumstances. This study describes the spatial ecology of red deer monitored using GPS collars in Mediterranean ecosystems of South-Central Spain, considering the effect of individual and seasonal (food shortage period, rut, hunting season and food abundance period) factors on different land use and management scenarios, namely protected areas, mixed farms and fenced hunting estates. Our results showed less activity (ACT), a shorter daily range (DR) and a smaller home range (HR) during the food shortage period: ACT: 0.38 ± (SD) 0.12; DR: 3010.9 ± 727.3 m; and weekly HR: 122.2 ± 59.6 ha. With regard to land use, individuals were less ACT and had a smaller DR on fenced hunting estates (ACT: 0.24 ± 0.12; DR: 1946.3 ± 706.7 m) than in protected areas (ACT: 0.59 ± 0.12; DR: 4071.4 ± 1068.2 m) or on mixed farms (ACT: 0.57 ± 0.29; DR: 5431.1 ± 1939.5 m) in all the periods studied. Red deer selected land cover with forage and shelter when foraging and resting, respectively. When drive hunt events occurred (mixed farms and fenced hunting estates), the deer were more prone to select safer habitats (scrublands) and avoid open areas (crops or grasslands) than were their counterparts in protected areas. The patterns observed can be explained by sexual and seasonal differences as regards requirements, the response to disturbances and, interestingly, population management. Our results provide useful information with which to design scientifically-based species adaptive management in response to relevant and timely situations in Europe, such as the potential transmission of shared infections, vehicle collisions, and damage to crops and ecosystems.This study has been funded by MINECO-FEDER (AGL2016-76358-R). EL is supported by a predoctoral grant (Programa Talento Formación) funded by the European Social Fund (ESF) and the Castilla-La Mancha regional government (JCCM) (ref: SBPLY/16/180501/000269). AJC is supported by a ‘Juan de la Cierva’ contract (FJCI-2017-33114) from MINECO-UCLM. JAB is supported by the European project H2020 VACDIVA 862874. RTO received support from the Community of Madrid through a post-doctoral contract (PEJD-2019-POST/BIO-16805). SJR is co-supported by a PhD contract from the UCLM and the ESF (2018/12504).Peer reviewe

Genome-wide scan for five brain oscillatory phenotypes identifies a new QTL associated with theta EEG band

Brain waves, measured by electroencephalography (EEG), are a powerful tool in the investigation of neurophysiological traits and a noninvasive and cost-effective alternative in the diagnostic of some neurological diseases. In order to identify novel Quantitative Trait Loci (QTLs) for brain wave relative power (RP), we collected resting state EEG data in five frequency bands (δ, θ, α, β1, and β2) and genome- wide data in a cohort of 105 patients with late onset Alzheimer’s disease (LOAD), 41 individuals with mild cognitive impairment and 45 controls from Iberia, correcting for disease status. One novel association was found with an interesting candidate for a role in brain wave biology, CLEC16A (C-type lectin domain family 16), with a variant at this locus passing the adjusted genome-wide significance threshold after Bonferroni correction. This finding reinforces the importance of immune regulation in brain function. Additionally, at a significance cutoff value of 5 × 10−6, 18 independent association signals were detected. These signals comprise brain expression Quantitative Loci (eQTLs) in caudate basal ganglia, spinal cord, anterior cingulate cortex and hypothalamus, as well as chromatin interactions in adult and fetal cortex, neural progenitor cells and hippocampus. Moreover, in the set of genes showing signals of association with brain wave RP in our dataset, there is an overrepresentation of loci previously associated with neurological traits and pathologies, evidencing the pleiotropy of the genetic variation modulating brain function.European Commission | Ref. 1317_AD-EEGWAFundação para a Ciência e a Tecnologia | Ref. POCI-01-0145-FEDER-007274Fundação para a Ciência e a Tecnologia | Ref. CEECIND/00684/2017Fundação para a Ciência e a Tecnologia | Ref. IF/01262/2014Fundação para a Ciência e a Tecnologia | Ref. SFRH/BPD/97414/2013Fundação para a Ciência e a Tecnologia | Ref. CEECIND/02609/2017Ministerio de Economía, Industria y Competitividad (España) | Ref. RYC-2015-18241Ministerio de Ciencia, Innovación y Universidades (España) | Ref. PGC2018-098214-A-I00Instituto de Salud Carlos II

Increased homocysteine levels correlate with cortical structural damage in Parkinson's disease

[Background] Blood homocysteine appears to be increased in Parkinson's disease (PD) and may play a role in the development and progression of this disorder. However, the specific contribution of abnormal homocysteine levels to cortical degeneration in PD remains elusive.[Objective] To characterize the cortical structural correlates of homocysteine levels in PD.[Methods] From the COPPADIS cohort, we identified a subset of PD patients and healthy controls (HC) with available homocysteine and imaging data. Surface-based vertex-wise multiple regression analyses were performed to investigate the cortical macrostructural (cortical thinning) and microstructural (increased intracortical diffusivity) correlates of homocysteine levels in this sample.[Results] A total of 137 PD patients and 43 HC were included. Homocysteine levels were increased in the PD group (t = −2.2, p = 0.03), correlating in turn with cognitive performance (r = −0.2, p = 0.03). Homocysteine in PD was also associated with frontal cortical thinning and, in a subset of patients with available DTI data, with microstructural damage in frontal and posterior-cortical regions (p < 0.05 Monte-Carlo corrected).[Conclusions] Homocysteine in PD appears to be associated with cognitive performance and structural damage in the cerebral cortex. These findings not only reinforce the presence and importance of cortical degeneration in PD, but also suggest that homocysteine plays a role among the multiple pathological processes thought to be involved in its development.This work was partially supported by funds from CERCA, CIBERNED, la Marató de TV3 (grants #2014/U/477 and #20142910), Fondo de Investigaciones Sanitarias (grants #PI15/00962 and #PI18/01717FIS), Instituto de Salud Carlos III (ISCIII) and Fondo Europeo de Desarrollo Regional (FEDER). MJG receives support from the “Miguel Servet” program [CP19/00031] and a research grant [PI20/00613] from the ISCIII-FEDER. MALE receives support from the VI-PPIT-US project at the University of Seville [USE-20046-J].Peer reviewe

Guía de práctica clínica para el manejo del cáncer de pulmón de células pequeñas: enfermedad extensa

Antecedentes: El cáncer de células pequeñas (CPCP) representa el 13-15% del total de neoplasias primarias de pulmón. Se caracteriza por su rapidez en la tasa de crecimiento y en el desarrollo de metástasis a distancia. Objetivos: Orientar y estandarizar el tratamiento del CPCP enfermedad extensa en México basado en evidencia clínica nacional e internacional. Material y métodos: Este documento se desarrolló como una colaboración del Instituto Nacional de Cancerología y la Sociedad Mexicana de Oncología en cumplimiento con estándares internacionales. Se integró un grupo conformado por oncólogos médicos, cirujanos oncólogos, cirujanos de tórax, radio-oncólogos y metodólogos con experiencia en revisiones sistemáticas de la literatura y guías de práctica clínica. Resultados: Se consensaron, por el método Delphi y en reuniones a distancia, las recomendaciones en CPCP enfermedad extensa, producto de preguntas de trabajo. Se identificó y evaluó la evidencia científica que responde a cada una de dichas preguntas clínicas antes de incorporarla al cuerpo de la guía. Conclusión: Esta guía proporciona recomendaciones clínicas para el manejo de la enfermedad extensa del CPCP y durante el proceso de toma de decisiones de los clínicos involucrados con su manejo en nuestro país para mejorar la calidad de la atención clínica para estos pacientes