WAGNER FARID GATTAZ
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Psiquiatria, Faculdade de Medicina - Docente
LIM/27 - Laboratório de Neurociências, Hospital das Clínicas, Faculdade de Medicina - Líder
LIM/27 - Laboratório de Neurociências, Hospital das Clínicas, Faculdade de Medicina - Líder
17 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 17
- Da arte de fazer ciência e de comer jabuticabas – Uma homenagem ao Prof. Dr. Ricardo Renzo Brentani(2012) DIAS-NETO, Emmanuel; GATTAZ, Wagner E.
article 0 Citação(ões) na Scopus Tribute to Prof. Paul Fraletti(2011) VIEIRA, Jose Cassio Simoes; MELEIRO, Alexandrina Silva; ANDRADE, Arthur Guerra de; LOTUFO NETO, Francisco; GATTAZ, Wagner Farid; CORDAS, Taki Athanassios- Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features(2023) LOCH, Alexandre Andrade; GONDIM, Joao Medrado; ARGOLO, Felipe Coelho; LOPES-ROCHA, Ana Caroline; ANDRADE, Julio Cesar; BILT, Martinus Theodorus van de; JESUS, Leonardo Peroni de; HADDAD, Natalia Mansur; CECCHI, Guillermo A.; MOTA, Natalia Bezerra; GATTAZ, Wagner Farid; CORCORAN, Cheryl Mary; ARA, AndersonAims: Our study aimed to develop a machine learning ensemble to distinguish ""at-risk mental states for psychosis"" (ARMS) subjects from control individuals from the general population based on facial data extracted from video-recordings.Methods: 58 non-help-seeking medication-naive ARMS and 70 healthy subjects were screened from a general population sample. At-risk status was assessed with the Structured Interview for Prodromal Syndromes (SIPS), and ""Subject's Overview"" section was filmed (5-10 min). Several features were extracted, e.g., eye and mouth aspect ratio, Euler angles, coordinates from 51 facial landmarks. This elicited 649 facial features, which were further selected using Gradient Boosting Machines (AdaBoost combined with Random Forests). Data was split in 70/30 for training, and Monte Carlo cross validation was used.Results: Final model reached 83 % of mean F1-score, and balanced accuracy of 85 %. Mean area under the curve for the receiver operator curve classifier was 93 %. Convergent validity testing showed that two features included in the model were significantly correlated with Avolition (SIPS N2 item) and expression of emotion (SIPS N3 item).Conclusion: Our model capitalized on short video-recordings from individuals recruited from the general population, effectively distinguishing between ARMS and controls. Results are encouraging for large-screening purposes in low-resource settings.
- Revista de Psiquiatria Clinica-40 years(2013) GATTAZ, Wagner F.
- BDNF blood levels after electroconvulsive therapy in patients with mood disorders: An updated systematic review and meta-analysis(2023) PELOSOF, Rebeca; SANTOS, Leonardo A. dos; FARHAT, Luis C.; GATTAZ, Wagner F.; TALIB, Leda; BRUNONI, Andre R.Objectives Studies have suggested Brain-Derived Neurotrophic Factors (BDNF) increase after electroconvulsive therapy (ECT) although they were methodologically limited and enrolled small sample sizes. We aimed at updating a systematic review and meta-analysis to explore BDNF changes after ECT for the treatment of depression. Methods PubMed, PsycInfo, Embase and Global health were searched (March, 2021). Clinical trials that measured BDNF in the blood before and after ECT in adults (>= 18 years old) with depression (major depressive disorder or bipolar disorder) were eligible. Data were pooled through random-effects meta-analyses. Results Twenty-eight studies involving 778 participants were included. Meta-analysis showed a significant increase in BDNF levels after ECT (Hedges' g = 0.28; 95% CI: 0.10, 0.46) while there was evidence of significant heterogeneity (I-2 = 67.64%) but not publication bias/small-study effect. Subgroup analyses and meta-regressions were underpowered to detect significant differences. Meta-analysis of depression severity scores demonstrated a considerable larger treatment effect in reducing depressive symptoms after ECT (Hedge's g = -3.72 95% CI: -4.23, -3.21). Conclusion This updated review showed that BDNF blood levels increased after ECT treatment. However, there was still evidence of substantial heterogeneity and there were limited sample sizes to investigate factors driving the variability of effects across studies. Importantly, the increase in BDNF levels was substantially smaller than the observed in depressive symptomatology, which could be indicative that the former was independent than the latter. Additional studies with larger sample sizes are currently required.
- Application of Lipidomics in Psychiatry: Plasma-Based Potential Biomarkers in Schizophrenia and Bipolar Disorder(2023) COSTA, Alana C.; RICA, Larissa B.; BILT, Martinus van de; ZANDONADI, Flavia S.; GATTAZ, Wagner F.; TALIB, Leda L.; SUSSULINI, AlessandraIn this study, we obtained a lipidomic profile of plasma samples from drug-naive patients with schizophrenia (SZ) and bipolar disorder (BD) in comparison to healthy controls. The sample cohort consisted of 30 BD and 30 SZ patients and 30 control individuals. An untargeted lipidomics strategy using liquid chromatography coupled with high-resolution mass spectrometry was employed to obtain the lipid profiles. Data were preprocessed, then univariate (t-test) and multivariate (principal component analysis and orthogonal partial least squares discriminant analysis) statistical tools were applied to select differential lipids, which were putatively identified. Afterward, multivariate receiver operating characteristic tests were performed, and metabolic pathway networks were constructed, considering the differential lipids. Our results demonstrate alterations in distinct lipid pathways, especially in glycerophospholipids, sphingolipids and glycerolipids, between SZ and BD patients. The results obtained in this study may serve as a basis for differential diagnosis, which is crucial for effective treatment and improving the quality of life of patients with psychotic disorders.
- Motion energy analysis during speech tasks in medication-naive individuals with at-risk mental states for psychosis(2022) LOPES-ROCHA, Ana Caroline; CORCORAN, Cheryl Mary; ANDRADE, Julio Cesar; PERONI, Leonardo; HADDAD, Natalia Mansur; HORTENCIO, Lucas; SERPA, Mauricio Henriques; BILT, Martinus Theodorus van de; GATTAZ, Wagner Farid; LOCH, Alexandre AndradeMovement abnormalities are commonly observed in schizophrenia and at-risk mental states (ARMS) for psychosis. They are usually detected with clinical interviews, such that automated analysis would enhance assessment. Our aim was to use motion energy analysis (MEA) to assess movement during free-speech videos in ARMS and control individuals, and to investigate associations between movement metrics and negative and positive symptoms. Thirty-two medication-naive ARMS and forty-six healthy control individuals were filmed during speech tasks. Footages were analyzed using MEA software, which assesses movement by differences in pixels frame-by-frame. Two regions of interest were defined-head and torso-and mean amplitude, frequency, and coefficient of variability of movements for them were obtained. These metrics were correlated with the Structured Interview for Prodromal Syndromes (SIPS) symptoms, and with the risk of conversion to psychosis-inferred with the SIPS risk calculator. ARMS individuals had significantly lower mean amplitude of head movement and higher coefficients of movement variability for both head and torso, compared to controls. Higher coefficient of variability was related to higher risk of conversion. Negative correlations were seen between frequency of movement and most SIPS negative symptoms. All positive symptoms were correlated with at least one movement variable. Movement abnormalities could be automatically detected in medication-naive ARMS subjects by means of a motion energy analysis software. Significant associations of movement metrics with symptoms were found, supporting the importance of movement analysis in ARMS. This could be a potentially important tool for early diagnosis, intervention, and outcome prediction.
- Gesticulation in individuals with at risk mental states for psychosis(2023) LOPES-ROCHA, Ana Caroline; RAMOS, Willian Henrique de Paula; ARGOLO, Felipe; GONDIM, Joao Medrado; MOTA, Natalia Bezerra; ANDRADE, Julio Cesar; JAFET, Andrea Fontes; MEDEIROS, Matheus Wanderley de; SERPA, Mauricio Henriques; CECCHI, Guillermo; ARA, Anderson; GATTAZ, Wagner Farid; CORCORAN, Cheryl Mary; LOCH, Alexandre AndradeNonverbal communication (NVC) is a complex behavior that involves different modalities that are impaired in the schizophrenia spectrum, including gesticulation. However, there are few studies that evaluate it in individuals with at-risk mental states (ARMS) for psychosis, mostly in developed countries. Given our prior findings of reduced movement during speech seen in Brazilian individuals with ARMS, we now aim to determine if this can be accounted for by reduced gesticulation behavior. Fifty-six medication-naive ARMS and 64 healthy controls were filmed during speech tasks. The frequency of specifically coded gestures across four categories (and self-stimulatory behaviors) were compared between groups and tested for correlations with prodromal symptoms of the Structured Interview for Prodromal Syndromes (SIPS) and with the variables previously published. ARMS individuals showed a reduction in one gesture category, but it did not survive Bonferroni's correction. Gesture frequency was negatively correlated with prodromal symptoms and positively correlated with the variables of the amount of movement previously analyzed. The lack of significant differences between ARMS and control contradicts literature findings in other cultural context, in which a reduction is usually seen in at-risk individuals. However, gesture frequency might be a visual proxy of prodromal symptoms, and of other movement abnormalities. Results show the importance of analyzing NVC in ARMS and of considering different cultural and sociodemographic contexts in the search for markers of these states.
- Plasma levels of neurotrophin 4/5, NGF and pro-BDNF influence transition to mental disorders in a sample of individuals at ultra-high risk for psychosis(2023) LOCH, Alexandre Andrade; PINTO, Marcel Tavares Camilo; ANDRADE, Julio Cesar; JESUS, Leonardo Peroni de; MEDEIROS, Matheus Wanderley de; HADDAD, Natalia Mansur; BILT, Martinus Theodorus van de; TALIB, Leda Leme; GATTAZ, Wagner FaridBackground: Neurotrophins (NTs) and their precursors (pro-NTs) are polypeptides with important roles in neuronal development, differentiation, growth, survival and plasticity, as well as apoptosis and neuronal death. Imbalance in NT levels were observed in schizophrenia spectrum disorders, but evidence in ultra-high risk for psychosis (UHR) samples is scarce. Methods: A naturalistic sample of 87 non-help-seeking UHR subjects and 55 healthy controls was drawn from the general population. Blood samples were collected and NT-3, NT-4/5, BDNF, pro-BDNF, NGF, pro-NGF were analyzed through enzyme linked immunosorbent assay (ELISA). Information on cannabis and tobacco use was also collected. Logistic regression models and path analysis were used to control for confounders (tobacco, age, cannabis use). Results: NT-4/5 was significantly decreased, and pro-BDNF was significantly increased in UHR individuals compared to controls. Cannabis use and higher NGF levels were significantly related to transition to psychiatric disorders among UHR subjects. Increased pro-BDNF and decreased NT-4/5 influenced transition by the mediation of perceptual abnormalities. Conclusions: Our study shows for the first time that NTs are altered in UHR compared to healthy control individuals, and that they can be a predictor of transition to psychiatric illnesses in this population. Future studies should employ larger naturalistic samples to confirm the findings.
- Alzheimer's Disease-related Biomarkers in Aging Adults with Down Syndrome: Systematic Review(2019) BRAM, Jessyka Maria de Franca; TALIB, Leda Leme; JOAQUIM, Helena Passarelli Giroud; CARVALHO, Claudia Lopes; GATTAZ, Wagner Farid; FORLENZA, Orestes VicenteBackground: Down syndrome (DS) is associated with a high prevalence of cognitive impairment and dementia in middle age and older adults. Given the presence of common neuropathological findings and similar pathogenic mechanisms, dementia in DS is regarded as a form of genetically determined, early-onset AD. The clinical characterization of cognitive decline in persons with DS is a difficult task, due to the presence intellectual disability and pre-existing cognitive impairment. Subtle changes that occur at early stages of the dementing process may not be perceived clinically, given that most cognitive screening tests are not sensitive enough to detect them. Therefore, biological markers will provide support to the diagnosis of DS-related cognitive impairment and dementia, particularly at early stages of this process. Objective: To perform a systematic review of the literature on AD-related biomarkers in DS. Method: We searched PubMed, Web of Science and Cochrane Library for scientific papers published between 2008 and 2018 using as primary mesh terms ""Down"", ""Alzheimer"", ""biomarker"". Results: 79 studies were retrieved, and 39 were considered eligible for inclusion in the systematic review: 14 post-mortem studies, 10 neuroimaging, 4 addressing cerebrospinal fluid biomarkers, and 11 on peripheral markers. Conclusion: There is consistent growth in the number of publication in this field over the past years. Studies in DS-related dementia tend to incorporate many of the diagnostic technologies that have been more extensively studied and validated in AD. In many instances, the study of CNS and peripheral biomarkers reinforces the presence of AD pathology in DS.