Pilot investigation of the changes in cortical activation during facial affect recognition with lamotrigine monotherapy in bipolar disorder

Background: Bipolar disorder is associated with dysfunction in prefrontal and limbic areas implicated in emotional processing. Aims: To explore whether lamotrigine monotherapy may exert its action by improving the function of the neural network involved in emotional processing. Method: We used functional magnetic resonance imaging to examine changes in brain activation during a sad facial affect recognition task in 12 stable patients with bipolar disorder when medication-free compared with healthy controls and after 12 weeks of lamotrigine monotherapy. Results: At baseline, compared with controls, patients with bipolar disorder showed overactivity in temporal regions and underactivity in the dorsal medial and right ventrolateral prefrontal cortex, and the dorsal cingulate gyrus. Following lamotrigine monotherapy, patients demonstrated reduced temporal and increased prefrontal activation. Conclusions: This preliminary evidence suggests that lamotrigine may enhance the function of the neural circuitry involved in affect recognition.

Recognition accuracy and response bias to happy and sad facial expressions in patients with major depression

Impaired facial expression recognition has been associated with features of major depression, which could underlie some of the difficulties in social interactions in these patients. Patients with major depressive disorder and age- and gender-matched healthy volunteers judged the emotion of 100 facial stimuli displaying different intensities of sadness and happiness and neutral expressions presented for short (100 ms) and long (2,000 ms) durations. Compared with healthy volunteers, depressed patients demonstrated subtle impairments in discrimination accuracy and a predominant bias away from the identification as happy of mildly happy expressions. The authors suggest that, in depressed patients, the inability to accurately identify subtle changes in facial expression displayed by others in social situations may underlie the impaired interpersonal functioning.

Producing facial composite sketches in remote cognitive interviews:a preliminary investigation

Justice systems around the world are increasingly turning to videoconferencing as a means to reduce delays and reduce costs in legal processes. This preliminary research examined whether interviewing a witness remotely - without physical co-presence of the witness and interviewer - could facilitate the production of quality facial composite sketches of suspects. In Study 1, 42 adults briefly viewed a photograph of a face. The next day they participated in Cognitive Interviews with a forensic artist, conducted either face-to-face or remotely via videoconference. In Study 2, 20 adults participated in videoconferenced interviews, and we manipulated the method by which they viewed the developing sketch. In both studies, independent groups of volunteers rated the likeness of the composites to the original photographs. The data suggest that remote interviews elicited effective composites; however, in Study 1 these composites were considered poorer matches to the photographs than were those produced in face-to-face interviews. The differences were small, but significant. Participants perceived several disadvantages to remote interviewing, but also several advantages including less pressure and better concentration. The results of Study 2 suggested that different sketch presentation methods offered different benefits. We propose that remote interviewing could be a useful tool for investigators in certain circumstances. © 2013 Taylor & Francis.

Look who's talking! Facial appearance can bias source monitoring

When we see a stranger's face we quickly form impressions of his or her personality, and expectations of how the stranger might behave. Might these intuitive character judgements bias source monitoring? Participants read headlines "reported" by a trustworthy- and an untrustworthy-looking reporter. Subsequently, participants recalled which reporter provided each headline. Source memory for likely-sounding headlines was most accurate when a trustworthy-looking reporter had provided the headlines. Conversely, source memory for unlikely-sounding headlines was most accurate when an untrustworthy-looking reporter had provided the headlines. This bias appeared to be driven by the use of decision criteria during retrieval rather than differences in memory encoding. Nevertheless, the bias was apparently unrelated to variations in subjective confidence. These results show for the first time that intuitive, stereotyped judgements of others' appearance can bias memory attributions analogously to the biases that occur when people receive explicit information to distinguish sources. We suggest possible real-life consequences of these stereotype-driven source-monitoring biases. © 2010 Psychology Press.

Dissociation of detection and evaluation of facial expressions in adolescence

Holistic face perception, i.e. the mandatory integration of featural information across the face, hasbeen considered to play a key role when recognizing emotional face expressions (e.g., Tanaka et al.,2002). However, despite their early onset holistic processing skills continue to improvethroughout adolescence (e.g., Schwarzer et al., 2010) and therefore might modulate theevaluation of facial expressions. We tested this hypothesis using an attentional blink (AB)paradigm to compare the impact of happy, fearful and neutral faces in adolescents (10–13 years)and adults on subsequently presented neutral target stimuli (animals, plants and objects) in a rapidserial visual presentation stream. Adolescents and adults were found to be equally reliable whenreporting the emotional expression of the face stimuli. However, the detection of emotional butnot neutral faces imposed a significantly stronger AB effect on the detection of the neutral targetsin adults compared to adolescents. In a control experiment we confirmed that adolescents ratedemotional faces lower in terms of valence and arousal than adults. The results suggest a protracteddevelopment of the ability to evaluate facial expressions that might be attributed to the latematuration of holistic processing skills.

Theoretical and applied evaluations of facial composite systems

Police often use facial composites during their investigations, yet research suggests that facial composites are generally not effective. The present research included two experiments on facial composites. The first experiment was designed to test the usefulness of the encoding specificity principle for determining when facial composites will be effective. Instructions were used to encourage holistic or featural cues at encoding. The method used to construct facial composites was manipulated to encourage holistic or featural cues at retrieval. The encoding specificity principle suggests that an interaction effect should occur. If the same cues are used at encoding and retrieval, better composites should be constructed than when the cues are not the same. However, neither the expected interaction nor the main effects for encoding and retrieval were significant. The second study was conducted to assess the effectiveness of composites generated by two different facial composite construction systems, E-Fit and Mac-A-Mug Pro. These systems differ in that the E-Fit system uses more sophisticated methods of composite construction and may construct better quality facial composites. A comparison of E-Fit and Mac-A-Mug Pro composites demonstrated that E-Fit composites were of better quality than Mac-A-Mug Pro composites. However, neither E-Fit nor Mac-A-Mug Pro composites were useful for identifying the target person from a photograph lineup. Further, lineup performance was at floor level such that both E-Fit and Mac-A-Mug Pro composites were no more useful than a verbal description. Possible limitations of the studies are discussed, as well as suggestions for future research. ^

Thermal imaging as a biometrics approach to facial signature authentication

This dissertation develops an image processing framework with unique feature extraction and similarity measurements for human face recognition in the thermal mid-wave infrared portion of the electromagnetic spectrum. The goals of this research is to design specialized algorithms that would extract facial vasculature information, create a thermal facial signature and identify the individual. The objective is to use such findings in support of a biometrics system for human identification with a high degree of accuracy and a high degree of reliability. This last assertion is due to the minimal to no risk for potential alteration of the intrinsic physiological characteristics seen through thermal infrared imaging. The proposed thermal facial signature recognition is fully integrated and consolidates the main and critical steps of feature extraction, registration, matching through similarity measures, and validation through testing our algorithm on a database, referred to as C-X1, provided by the Computer Vision Research Laboratory at the University of Notre Dame. Feature extraction was accomplished by first registering the infrared images to a reference image using the functional MRI of the Brain’s (FMRIB’s) Linear Image Registration Tool (FLIRT) modified to suit thermal infrared images. This was followed by segmentation of the facial region using an advanced localized contouring algorithm applied on anisotropically diffused thermal images. Thermal feature extraction from facial images was attained by performing morphological operations such as opening and top-hat segmentation to yield thermal signatures for each subject. Four thermal images taken over a period of six months were used to generate thermal signatures and a thermal template for each subject, the thermal template contains only the most prevalent and consistent features. Finally a similarity measure technique was used to match signatures to templates and the Principal Component Analysis (PCA) was used to validate the results of the matching process. Thirteen subjects were used for testing the developed technique on an in-house thermal imaging system. The matching using an Euclidean-based similarity measure showed 88% accuracy in the case of skeletonized signatures and templates, we obtained 90% accuracy for anisotropically diffused signatures and templates. We also employed the Manhattan-based similarity measure and obtained an accuracy of 90.39% for skeletonized and diffused templates and signatures. It was found that an average 18.9% improvement in the similarity measure was obtained when using diffused templates. The Euclidean- and Manhattan-based similarity measure was also applied to skeletonized signatures and templates of 25 subjects in the C-X1 database. The highly accurate results obtained in the matching process along with the generalized design process clearly demonstrate the ability of the thermal infrared system to be used on other thermal imaging based systems and related databases. A novel user-initialization registration of thermal facial images has been successfully implemented. Furthermore, the novel approach at developing a thermal signature template using four images taken at various times ensured that unforeseen changes in the vasculature did not affect the biometric matching process as it relied on consistent thermal features.

Características psicológicas do paciente obeso grave e suas implicações pós-operatórias na cirurgia bariátrica

Obesity is a chronic disease that has multi-factorial aetiology, characterized by high degree of body fat; the degree of obesity will vary according to the Body Mass Index (BMI=m2 /kg). The severe degree of obesity is characterized by BMI>40 and it is regularly associated to endocrine-metabolic or mechanic clinical alterations, and to psychological disorders. Binge Eating (BE) results were overly high for this population. The Bariatric Surgery has been the treatment chosen by those diagnosed with severe obesity as this intervention provides prompt outcomes for loss of weight and clinical improvement conditions. However, recent research has acquiesced that after two years between 20% and 30% of people subject to this intervention gained weight. The main objective of this research is to assess the psychological and behavioral characteristics of those diagnosed with severe obesity that have been subject to Gastric Bypass Surgery in the past 24 months. Specific aspects were investigated: (1) characteristics of different personalities and diagnose of clinic and personality disorders; (2) BE and its relation with loss of weight; (2) the difference between the groups regarding post-surgery care, e.g. physical activity, psychological and dietician input. Method: 40 adults (women and men) aged 23 and 60 year-old who went through a bariatric surgery in the past 24 months, in the city of Natal-RN (Brazil); they were assembled in two groups n=20, Gain group displaying loss of < 50% of their initial surplus of weight, and the Loss group displaying loss of >50%. The research protocol is made of a socio-demographic questionnaire and 3 psychometric instruments: Rorschach – Comprehensive System; Millon Personality Inventory (MCMI-III); and the Binge Eating Scale (Escala de Compulsão Alimentar Periódica (ECAP). Through Rorschach significant differences between these groups were verified according to the kind of personality (EB) - more EB Extratensivo in Gain group and Intratensivo in Loss group – and the lack of control to express affect, increasing the answer for Color Pure at Group I. Concerning the people standardization, the sample as a whole tends to show psychic pain, denigrated selfperception, high levels of self-criticism, distorted perceptions, vulnerability to develop mood disorders and high scores regarding Suicide. MCMI-III results showed more clinic and personality disorders in Group I: Depressive Disorder and Schizotypal, Anxiety, Dysthymia, Major Depressive Disorder; Thought Disorder, Bipolar- Manic and Posttraumatic Stress Disorder. In relation to ECAP, the results indicated significant differences, showing increased BE results in Gain group. There were found significant differences between BE severity and the presence of clinic and personality disorders. Concerning the post-surgery care, the observed differences are statistically significant regarding physical activities with median-increased differences in Loss group. There is a difference between the initial weight and the time post-surgery, indicating that the higher the initial weight and the time after the surgery the higher the re-gain of weight post-surgery. Finally, the results show that the participants with more than 3 years of surgery will have Clinic and Major Depressive Disorders; Somatoform Disorder; Dysthymia. These results confirm prior studies related to BE post-surgery and re-gain of weight as well as the proneness of clinic disorders in severe obesity people. That means the results reinforce that the surgery process is a facet of the severe obesity treatment. The post-surgery process needs to be the main focus of attention and have a long-term input to sustain the care of the surgery results and the quality of life of the patients.

Prevalência e fatores associados à diminuição da função pulmonar em obesos em pré-operatório de cirurgia bariátrica

Introduction: Obesity shows changes in pulmonary function and respiratory mechanics, however, little is known regarding the prevalence of worsening respiratory function when considering the increase in central or peripheral adiposity or general obesity. Objectives: To analyze the association between anthropometric adiposity and decreased lung function in obese. Materials and Methods: Patients eligible for this study obese individuals (IMC≥30kg/m2) in pre-bariatric surgery and referred for Treatment Clinic of Obesity and Related Diseases, located at the University Hospital Onofre Lopes (HUOL), from October 2005 and July 2014. The evaluation included clinical information and measurement of anthropometric measures (body mass index (BMI), body fat index (BFI) and waist circumference (WC) and neck (NC)) and spirometric. The prevalence and analysis by Poisson regression was performed considering the following outcome variables: forced vital capacity (FVC), forced expiratory volume in one second (FEV1) and Maximum Voluntary Ventilation (MVV) and as predictor variables were considered: BMI, IAC, WC and NC and as control variables: age, gender, smoking history and comorbidities (diabetes mellitus, dyslipidemia and hypertension). Statistical analysis was performed using Statistical Package for Social Sciences software (SPSS - version 20.0). Results: We analyzed 384 individuals, 75% women, mean BMI: 46.6 (± 8.7) kg/m2, IAC: 49.26 (± 9.48)%, WC: 130.84 (± 16.23) cm and NC: 42.3 (± 4.6) cm. The higher prevalence of FVC and FEV1 <80% was observed in individuals with NC above 42 cm, followed those with a BMI above 45 kg/m2. Multivariate analysis using Poisson regression showed as risk factors associated with FVC <80%, the variables: NC above 42 cm (odds ratio (OR) 2.41) and BMI over 45Kg/m2 (OR 1.71 ). As for FEV1 <80% predicted, all predictor variables were associated, with the largest odds presented by the NC (3.40). MVVV was not associated with any studied varaible. Conclusion: Individuals with NC above 42 cm had higher prevalence of reduced lung function and the NC was the measure with the highest association with reduced lung function in obese.

Avaliação da imagem corporal de mulheres submetidas à cirurgia oncológica mamária

Breast cancer is the second type of cancer that affects more women of reproductive age in Brazil. Surgical treatments include: conserving surgery or mastectomy. Aimed to evaluate body image of women undergoing breast cancer surgery, based on the scale Body Image After Breast Cancer Questionnaire. It is a descriptive, exploratory, transversal, with a quantitative approach. Data were collected in Norte-riograndense League Against Cancer, between the months from March to May 2015, after consideration of the Research Ethics Committee of that institution CAEE 35155714.1.0000.5293. The study population consisted of women undergoing breast onco-surgery. To calculate the sample considered the finite population, totaling 120 subjects, collected four guys the most. Data were analyzed by the software Statistical Package for Social Sciences version 20.0. The domain scores of the scale were evaluated using descriptive and inferential statistics. The surgical group mastectomy without reconstruction showed greater impairment of body image in the field "vulnerability", "Care for the body" and "transparency" in relation to other surgical types, and suggests susceptibility to cancer, body appearance and worry that disturb other. The Kruskal-Wallis test showed greater dissatisfaction with body image in the fields "body Stigma" and "transparency" to the radical neoplastic surgery over other surgical types. Dissatisfaction with body image and physical appearance was detected in this study in all six image fields present in scale, with emphasis on the "body Stigma" and "Transparency". This means that the body image disorder is formulated based on the perception of others about themselves and not by perception "self", which justifies the concern with appearance, with body and hide the consequences stemmed cancer. It is expected that the data obtained from the evaluation of body image presented in this study contribute to enable the assistance to oncocirurgiada woman breast integral, essential for the practice of Nursing.

Avaliação da imagem corporal de mulheres submetidas à cirurgia oncológica mamária

Breast cancer is the second type of cancer that affects more women of reproductive age in Brazil. Surgical treatments include: conserving surgery or mastectomy. Aimed to evaluate body image of women undergoing breast cancer surgery, based on the scale Body Image After Breast Cancer Questionnaire. It is a descriptive, exploratory, transversal, with a quantitative approach. Data were collected in Norte-riograndense League Against Cancer, between the months from March to May 2015, after consideration of the Research Ethics Committee of that institution CAEE 35155714.1.0000.5293. The study population consisted of women undergoing breast onco-surgery. To calculate the sample considered the finite population, totaling 120 subjects, collected four guys the most. Data were analyzed by the software Statistical Package for Social Sciences version 20.0. The domain scores of the scale were evaluated using descriptive and inferential statistics. The surgical group mastectomy without reconstruction showed greater impairment of body image in the field "vulnerability", "Care for the body" and "transparency" in relation to other surgical types, and suggests susceptibility to cancer, body appearance and worry that disturb other. The Kruskal-Wallis test showed greater dissatisfaction with body image in the fields "body Stigma" and "transparency" to the radical neoplastic surgery over other surgical types. Dissatisfaction with body image and physical appearance was detected in this study in all six image fields present in scale, with emphasis on the "body Stigma" and "Transparency". This means that the body image disorder is formulated based on the perception of others about themselves and not by perception "self", which justifies the concern with appearance, with body and hide the consequences stemmed cancer. It is expected that the data obtained from the evaluation of body image presented in this study contribute to enable the assistance to oncocirurgiada woman breast integral, essential for the practice of Nursing.

Avaliação clínica e da qualidade de vida utilizando dois protocolos para recuperação miofuncional em pacientes que se submeteram à cirurgia ortognática: resultados preliminares

The objective of this randomized, blind and prospective clinical trial was to compare the pain, the edema, the mandibular movements, the masticatory efficiency and life quality, in the first 60 days after surgery using 2 different clinical protocols for myofunctional recovery, in patients who underwent orthognathic surgery. A sample of 19 patients was used and divided into 2 groups. The control group (CG) consisted of 10 patients who had postoperative rehabilitation guided by a standard protocol, conducted by the Service of Surgery and Traumatology Oral and Maxillofacial. In other hand, the experimental group (EC) totaled 9 patients who received the speech therapy rehabilitation protocol specialized, by professionals in the area. The variables pain, edema and mandibular movements were analyzed during 48h, 96h, 7 days, 14 days, 30 and 60 days post-surgery. The masticatory efficiency and the quality of life were classified with 60 days after surgery . The data were submitted an analysis of variance, Student's t-test and Fisher's independence, at the level of 5% probability. It was identified that patients of GE have benefited in the first 14 days(p<0,001), as they have had reported less pain than those in the CG. Significant statistics differences between groups for pain parameters (after 14 days) (p=0,065), edema(p=0,063), mandibular movements(p=0,068), masticatory efficiency(p=0,630) and the impact on quality of life (p=0,813) were not observed on this study. The speech therapy protocol for myofunctional recovery (EG), although it has not obtained statistical results superiors than the CG in the general context, presents itself as a viable alternative to conventional therapy assumed by many maxillofacial surgeons, allowing the surgeon to optimize time with patients in the period postoperatively.

Classificação de atividade eletromiográfia facial de indivíduos saudáveis e com hanseníese por meio de máquina de vetores de suporte

A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

Classificação de atividade eletromiográfia facial de indivíduos saudáveis e com hanseníase por meio de máquina de vetores de suporte

A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

Facial affect processing inbipolar disorder:a magnetoencephalography study

Background: Identifying biological markers to aid diagnosis of bipolar disorder (BD) is critically important. To be considered a possible biological marker, neural patterns in BD should be discriminant from those in healthy individuals (HI). We examined patterns of neuromagnetic responses revealed by magnetoencephalography (MEG) during implicit emotion-processing using emotional (happy, fearful, sad) and neutral facial expressions, in sixteen BD and sixteen age- and gender-matched healthy individuals. Methods: Neuromagnetic data were recorded using a 306-channel whole-head MEG ELEKTA Neuromag System, and preprocessed using Signal Space Separation as implemented in MaxFilter (ELEKTA). Custom Matlab programs removed EOG and ECG signals from filtered MEG data, and computed means of epoched data (0-250ms, 250-500ms, 500-750ms). A generalized linear model with three factors (individual, emotion intensity and time) compared BD and HI. A principal component analysis of normalized mean channel data in selected brain regions identified principal components that explained 95% of data variation. These components were used in a quadratic support vector machine (SVM) pattern classifier. SVM classifier performance was assessed using the leave-one-out approach. Results: BD and HI showed significantly different patterns of activation for 0-250ms within both left occipital and temporal regions, specifically for neutral facial expressions. PCA analysis revealed significant differences between BD and HI for mild fearful, happy, and sad facial expressions within 250-500ms. SVM quadratic classifier showed greatest accuracy (84%) and sensitivity (92%) for neutral faces, in left occipital regions within 500-750ms. Conclusions: MEG responses may be used in the search for disease specific neural markers.