Edgar Mesquita
University of Minho
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Edgar Mesquita.
Behavioural Brain Research | 2016
R. Yuvaraj; M. Murugappan; U. Rajendra Acharya; Hojjat Adeli; Norlinah Mohamed Ibrahim; Edgar Mesquita
Successful emotional communication is crucial for social interactions and social relationships. Parkinsons Disease (PD) patients have shown deficits in emotional recognition abilities although the research findings are inconclusive. This paper presents an investigation of six emotions (happiness, sadness, fear, anger, surprise, and disgust) of twenty non-demented (Mini-Mental State Examination score >24) PD patients and twenty Healthy Controls (HCs) using Electroencephalogram (EEG)-based Brain Functional Connectivity (BFC) patterns. The functional connectivity index feature in EEG signals is computed using three different methods: Correlation (COR), Coherence (COH), and Phase Synchronization Index (PSI). Further, a new functional connectivity index feature is proposed using bispectral analysis. The experimental results indicate that the BFC change is significantly different among emotional states of PD patients compared with HC. Also, the emotional connectivity pattern classified using Support Vector Machine (SVM) classifier yielded the highest accuracy for the new bispectral functional connectivity index. The PD patients showed emotional impairments as demonstrated by a poor classification performance. This finding suggests that decrease in the functional connectivity indices during emotional stimulation in PD, indicating functional disconnections between cortical areas.
Behavioral and Brain Functions | 2014
Rajamanickam Yuvaraj; M. Murugappan; Norlinah Mohamed Ibrahim; Mohd Iqbal Omar; Kenneth Sundaraj; Khairiyah Mohamad; Ramaswamy Palaniappan; Edgar Mesquita; Marimuthu Satiyan
ObjectiveWhile Parkinson’s disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease. The aim of this study was to investigate whether there are specific electroencephalographic (EEG) characteristics that discriminate PD patients and normal controls during emotion information processing.MethodEEG recordings from 14 scalp sites were collected from 20 PD patients and 30 age-matched normal controls. Multimodal (audio-visual) stimuli were presented to evoke specific targeted emotional states such as happiness, sadness, fear, anger, surprise and disgust. Absolute and relative power, frequency and asymmetry measures derived from spectrally analyzed EEGs were subjected to repeated ANOVA measures for group comparisons as well as to discriminate function analysis to examine their utility as classification indices. In addition, subjective ratings were obtained for the used emotional stimuli.ResultsBehaviorally, PD patients showed no impairments in emotion recognition as measured by subjective ratings. Compared with normal controls, PD patients evidenced smaller overall relative delta, theta, alpha and beta power, and at bilateral anterior regions smaller absolute theta, alpha, and beta power and higher mean total spectrum frequency across different emotional states. Inter-hemispheric theta, alpha, and beta power asymmetry index differences were noted, with controls exhibiting greater right than left hemisphere activation. Whereas intra-hemispheric alpha power asymmetry reduction was exhibited in patients bilaterally at all regions. Discriminant analysis correctly classified 95.0% of the patients and controls during emotional stimuli.ConclusionThese distributed spectral powers in different frequency bands might provide meaningful information about emotional processing in PD patients.
British Journal of Ophthalmology | 2015
Marco Dutra Medeiros; Edgar Mesquita; Ana Luísa Papoila; Victor Genro; João Filipe Raposo
Background/aims In Portugal, so far, there is no study or even accurate data on the prevalence of diabetic retinopathy (DR), based on a large representative sample and on a long-term follow-up. The objective of our study was to determine the prevalence of DR based on a national screening community-based programme. Methods A 5-year retrospective analysis of the RETINODIAB screening programme results was implemented in Lisbon and Tagus Valley area between July 2009 and October 2014. We estimated the prevalence of retinopathy for all patients with type 2 diabetes and studied the association between known risk factors and retinopathy emergence at their first screening. Results Throughout this period, from a total of 103 102 DR readable screening examinations, 52 739 corresponded to patients who attended RETINODIAB screening at entry. Globally, DR was detected in 8584 patients (16.3%). Of these, 5484 patients (10.4%) had mild non-proliferative (NP) DR, 1457 patients (2.8%) had moderate NPDR and 672 (1.3%) had severe NPDR. Finally, 971 patients (1.8%) had proliferative DR requiring urgent referral to an ophthalmologist. The presence of any DR, non-referable DR or referable DR was strongly associated with increasing duration of diabetes and earlier age at diagnosis. Conclusions The prevalence rate of DR in our study (16.3%) was slightly lower than other published international data. The RETINODIAB network proved to be an effective screening programme as it improved DR screening in Lisbon and Tagus Valley surrounding area.
Ophthalmology | 2015
Marco Dutra Medeiros; Edgar Mesquita; Luís Gardete-Correia; Joaquim Moita; Victor Genro; Ana Luísa Papoila; Antónia Amaral-Turkman; João Filipe Raposo
PURPOSE To estimate the 5-year incidence and progression of diabetic retinopathy (DR) among persons with type 2 diabetes mellitus (DM). DESIGN Population-based, prospective, cohort study. PARTICIPANTS The RETINODIAB (Study Group for Diabetic Retinopathy Screening) program was implemented in the Lisbon and Tagus Valley area between July 2009 and December 2014. A total of 109 543 readable screening examinations were performed and corresponded to 56 903 patients who attended the screening program at entry. A total of 30 641 patients (53.85%) had at least 1 further screening event within the study period and were included in the analysis. METHODS Participants underwent two 45° nonstereoscopic retinal digital photographs per eye according to RETINODIAB protocol. All images were graded according to the International Clinical Diabetic Retinopathy Scale. Referable diabetic retinopathy (RDR) was defined for all patients graded as moderate nonproliferative DR (NPDR), severe NPDR, or proliferative DR (PDR), with or without maculopathy or mild NPDR with maculopathy. Nonparametric estimates of the annual and cumulative incidences were obtained by Turnbulls estimator. Associations between the potential risk factors and the time to onset/progression of retinopathy were assessed through a parametric survival analysis for interval-censored data. MAIN OUTCOME MEASURES The authors estimated the onset and progression incidence rates of DR. RESULTS Yearly incidence of any DR in patients without retinopathy at baseline was 4.60% (95% confidence interval [CI], 3.96-4.76) in the first year, decreasing to 3.87% (95% CI, 2.57-5.78) in the fifth year. In participants with mild NPDR at baseline, the progression rate to RDR in year 1 was 1.18% (95% CI, 0.96-1.33). Incidence of any DR and RDR and DR progression rate were associated with known duration of diabetes, age at diagnosis, and use of insulin treatment. CONCLUSIONS This longitudinal epidemiologic study provides the first Portuguese incidence DR data in a large-scale population-based cohort of type 2 diabetes after a 5-year follow-up. Duration of diabetes, age at diagnosis, and insulin treatment were associated with increasing risk of incidence and progression of DR. A personalized schedule distribution of screening intervals according to the individual patients profile should be implemented, with resulting benefits in terms of health costs.
Biomarkers | 2016
Pedro de Sousa-Martins; Alexandra Moura; José Madureira; Pablo Alija; José Gerardo Oliveira; Martin Lopez; Madalena Filgueiras; Leonilde Amado; Maria Sameiro-Faria; Vasco Miranda; Edgar Mesquita; Laetitia Teixeira; Verónica Poveda; Luísa Lobato; Alice Santos-Silva; Elísio Costa
Abstract The aim of this work was to evaluate the predictors of mortality in a group of end-stage kidney disease (ESRD) patients under dialysis, by performing a three-year follow-up study. From the 236 patients included in this study, 54 patients died during the three-year follow-up period. Our data showed that the risk of death was higher in patients presenting lower levels of mean cell hemoglobin concentration, transferrin, and albumin. Our study showed that poor nutritional status and an inflammatory-induced iron depleted erythropoiesis are important factors for mortality in these patients.
Quality of Life Research | 2015
Alexandra Moura; José Madureira; Pablo Alija; João Fernandes; José Gerardo Oliveira; Martin Lopez; Madalena Filgueiras; Leonilde Amado; Maria Sameiro-Faria; Vasco Miranda; Edgar Mesquita; Alice Santos-Silva; Elísio Costa
Supportive Care in Cancer | 2014
Jose Martinez; Dulcineia Pereira; Sérgio Chacim; Edgar Mesquita; Inês Sousa; Ângelo Martins; Teresa Azevedo; Jose Mario Mariz
Blood | 2012
Dulcineia Pereira; Sérgio Chacim; Edgar Mesquita; Ana Espirito-Santo; Ilidia Moreira; Nelson Domingues; Isabel Oliveira; Luisa Viterbo; M. G. Marques; Carlos Palmeira; Maria Emília Sousa; Inês Godinho; Ana Marta Pires; Nuno Cerveira; Susana Bizarro; Manuel R. Teixeira; Ângelo Martins; Gabriela Martins; Jose Mario Mariz
Blood | 2014
Dulcineia Pereira; Carolina Teixeira; Sofia Ramalheira; Patrícia Rocha; Claudia Moreira; Alina Rosinha; Duarte Domingues; Natasha Amaral; Edgar Mesquita; Ana Brito; Luisa Viterbo; Isabel Oliveira; Nelson Domingues; Ilidia Moreira; Ana Espirito-Santo; Sérgio Chacim; Luís Leite; Isabel Ferreira; Rui Henrique; Angelo Martins; Jose Mario Mariz
Blood | 2014
Dulcineia Pereira; Carolina Teixeira; Sofia Ramalheira; Patrícia Rocha; Claudia Moreira; Alina Rosinha; Duarte Domingues; Natasha Amaral; Edgar Mesquita; A.M. Brito; Luisa Viterbo; Isabel Oliveira; Nelson Domingues; Ilidia Moreira; Ana Espirito-Santo; Sérgio Chacim; Luís Leite; Isabel Ferreira; Rui Henrique; Angelo Martins; Jose Mario Mariz