MARTINUS THEODORUS VAN DE BILT
Índice h a partir de 2011
10
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/27 - Laboratório de Neurociências, Hospital das Clínicas, Faculdade de Medicina
LIM/27 - Laboratório de Neurociências, Hospital das Clínicas, Faculdade de Medicina
7 resultados
Resultados de Busca
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- 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.
- Cognitive Patterns and Conversion in a Representative Sample of Individuals at Risk for Psychosis(2022) HADDAD, Natalia Mansur; HORTENCIO, Lucas; ANDRADE, Julio Cesar; SERPA, Mauricio Henriques; ALVES, Tania Maria; BILT, Martinus Theodorus van de; ROSSLER, Wulf; GATTAZ, Wagner Farid; LOCH, Alexandre AndradeClinical high-risk (CHR) individuals belong to a heterogeneous group, of which only a few will cross the threshold for a clinical diagnosis. Cognitive disturbances are present in CHR subjects and may be indicative of transition. Our study aims to identify such deficits in a representative CHR for psychosis sample. Our sample comprised 92 CHR individuals and 54 controls from a representative cohort of the general population. They were followed up for a mean of 2.5 years, with 15 individuals converting to schizophrenia or other Diagnostic and Statistical Manual of Mental Disorders, 5th Edition diagnoses. Neurocognitive assessment was performed with the University of Pennsylvania Computerized Neuropsychological Testing, and CHR status was assessed with the Structured Interview for Prodromal Syndromes (SIPS). Baseline scores were entered in a latent profile analysis model. Our study brought forward a four-class model on cognitive performance. One class displayed better performance, whereas the other three performed worse, all compared with controls. The class with lower executive function also had the highest score on disorganized communication (SIPS P5 = 1.36, p < 0.05), although unrelated to conversion. Among the low performers, the class significantly related to conversion (p = 0.023) had the highest score in decreased expression of emotion (SIPS N3 = 0.85, p < 0.05). Our study brings new and relevant data on non-help-seeking CHR individuals and the relationship between cognitive patterns and conversion. We have highlighted a specific cognitive signature, associated with negative symptoms, which represents a stable trait with presumed lower conversion to a psychiatric illness.
- A dopamine receptor D2 genetic polymorphism associated with transition to mental disorders in a cohort of individuals with at-risk mental state for psychosis(2023) MARQUES, Julia Hatagami; TALIB, Leda Leme; HORTENCIO, Lucas; ANDRADE, Julio Cesar; ALVES, Tania Maria; SERPA, Mauricio Henriques; YAMAMOTO, Guilherme Lopes; BILT, Martinus Theodorus van de; ROSSLER, Wulf; GATTAZ, Wagner Farid; LOCH, Alexandre AndradeObjectives: To test the association of 45 single nucleotide polymorphisms (SNPs) with transition to psychiatric disorders in a cohort of individuals at ultrahigh risk (UHR) mental state for psychosis.Methods: Through general population screening, 88 non-help-seeking UHR subjects and 130 healthy control individuals were genotyped for 45 SNPs related to psychosis. They were followed for a mean of 2.5 years, and conversion to psychotic and to general psychiatric disorders was assessed. Genotype frequencies between controls, converters, and non-converters were analyzed.Results: There were no differences in sociodemographics between controls and UHR. Also, UHR converters and non-converters had no differences in their baseline symptoms scores. The dopamine receptor D2 gene (DRD2) SNP rs6277 was significantly more common among UHR who transitioned to psychosis (p o 0.001) and to UHR who transitioned to any psychiatric disorders (p = 0.001) when compared to UHR who did not transition. The rs6277 T allele was related to psychiatric morbidity in a dose-response fashion, being significantly more frequent in UHR converters than UHR non-converters and control subjects (p = 0.003).Conclusion: Our findings suggest that rs6277 could potentially constitute a genetic marker of transition to psychiatric disorders in subjects with at-risk mental states, warranting further investigation in larger samples.
- Use of a Bayesian Network Model to predict psychiatric illness in individuals with 'at risk mental states' from a general population cohort(2022) LOCH, Alexandre Andrade; ARA, Anderson; HORTENCIO, Lucas; MARQUES, Julia Hatagami; TALIB, Leda Leme; ANDRADE, Julio Cesar; SERPA, Mauricio Henriques; SANCHEZ, Luciano; ALVES, Tania Maria; BILT, Martinus Theodorus van de; ROESSLER, Wulf; GATTAZ, Wagner FaridThe 'at risk mental state' (ARMS) paradigm has been introduced in psychiatry to study prodromal phases of schizophrenia. With time it was seen that the ARMS state can also precede mental disorders other than schizophrenia, such as depression and anxiety. However, several problems hamper the paradigm's use in preventative medicine, such as varying transition rates across studies, the use of non-naturalistic samples, and the multifactorial nature of psychiatric disorders. To strengthen ARMS predictive power, there is a need for a holistic model incorporating-in an unbiased fashion-the small-effect factors that cause mental disorders. Bayesian networks, a probabilistic graphical model, was used in a populational cohort of 83 ARMS individuals to predict conversion to psychiatric illness. Nine predictors-including state, trait, biological and environmental factors-were inputted. Dopamine receptor 2 polymorphism, high private religiosity, and childhood trauma remained in the final model, which reached an 85.51% (SD = 0.1190) accuracy level in predicting conversion. This is the first time a robust model was produced with Bayesian networks to predict psychiatric illness among at risk individuals from the general population. This could be an important tool to strengthen predictive measures in psychiatry which should be replicated in larger samples to provide the model further learning.
- Poverty, low education, and the expression of psychotic-like experiences in the general population of Sao Paulo, Brazil(2017) LOCH, Alexandre Andrade; CHIANCA, Camille; ALVES, Tania Maria; FREITAS, Elder Lanzani; HORTENCIO, Lucas; ANDRADE, Julio Cesar; BILT, Martinus Theodorus Van de; FONTONI, Marcos Roberto; SERPA, Mauricio H.; GATTAZ, Wagner Farid; ROESSLER, WulfThe aim of our study was to assess psychotic-like experiences in the general population aged 18-30 years old of the city of Sao Paulo, Brazil. A household survey was conducted with 1950 young-adults randomly drawn from the city's general population. The validated 92-item Portuguese version of the Prodromal Questionnaire (PQ) was used for face-to-face interviews. Latent class analysis was conducted. Mean age was of 24 years; 51.1% of the sample was of women. Mean total score on the PQ was 22.06 (SD = 17.16). Considering a suggested cut-off of 14 in the positive subscale, 30.8% of individuals were above the threshold for ultra-high risk for psychosis detection. Latent class analysis resulted in a three classes clusterization. Class 1 (20%; n = 390) had the highest overall PQ scores (mean = 49.31,SD = 10.783), class 2 (43%; n = 835) had intermediate scores (mean = 23.37,SD = 6.56), and class 3 (37%; n=721) had the lowest scores (mean= 5.81,SD = 3.74). Class 1 had significantly more individuals with less education and significantly more individuals with lower socioeconomic class. Poverty and low education might be associated with the psychotic expression in the general population, amplifying their actions on the psychosis gradient in developing countries. The psychosis continuum might be constituted by three distinct quantitatively different classes.
- Childhood maltreatment in individuals at risk of psychosis: Results from the Brazilian SSAPP cohort(2020) FREITAS, Elder Lanzani; LOCH, Alexandre Andrade; CHIANCA, Camille; ANDRADE, Julio Cesar; SERPA, Mauricio Henriques; ALVES, Tania Maria; HORTENCIO, Lucas; PINTO, Marcel Tavares Camilo; BILT, Martinus Theodorus van de; GATTAZ, Wagner Farid; ROESSLER, WulfBackground: Childhood maltreatment is a known risk factor for the development of mental disorders, such as psychotic symptoms. An extensive body of literature about childhood maltreatment and mental health has been developed in wealthy countries, but information about this connection is lacking in developing countries. Aims: To explore a possible relationship between childhood maltreatment and ultra-high risk of psychosis in a non-help-seeking population in a low- and middle-income country. Methods: A household survey was conducted in Sao Paulo, Brazil, involving over 2,500 individuals aged 18-30 years who were randomly selected from the general population. The participants underwent screening with the Prodromal Questionnaire. Ultra-high risk status was assessed using the Structured Interview for Prodromal Syndromes, and childhood maltreatment was assessed using the Childhood Trauma Questionnaire. The final sample comprised 87 ultra-high risk individuals and 115 controls. Results: Childhood maltreatment was significantly more present among ultra-high risk individuals. In ultra-high risk individuals, physical and emotional neglect were inversely related to grandiosity symptoms, physical abuse was related to perceptual abnormalities and physical neglect was related to disorganized speech and thought. Conclusion: This is the first study to investigate the relationship between childhood maltreatment and ultra-high risk status and psychopathological features in a large Latin American sample. Further studies in this field are necessary to better understand the specific influence of various early life adversities on psychosis risk.
- Cannabis use influences disorganized symptoms severity but not transition in a cohort of non-help-seeking individuals at-risk for psychosis from Sao Paulo, Brazil(2024) MEDEIROS, Matheus Wanderley de; ANDRADE, Julio Cesar; HADDAD, Natalia Mansur; MENDONCA, Melina; JESUS, Leonardo Peroni de; FEKIH-ROMDHANE, Feten; BILT, Martinus Theodorus van de; GATTAZ, Wagner Farid; LOCH, Alexandre AndradeBackground: Cannabis use is associated with an increased risk of developing a psychotic disorder. However, in individuals with at-risk mental states for psychosis (ARMS) this association is not clear, as well as the impact of cannabis use on symptom severity. The objective of this study was to evaluate the association of cannabis use patterns and ARMS risk status, transition to psychotic and psychiatric disorders, and psychopathology.Method: A sample of 109 ARMS and 197 control individuals was drawn from the general population. Lifetime, maximum and current amount of cannabis use were assessed with the South Westminster modified questionnaire. Participants were followed-up for a mean of 2.5 years and reassessed for transition to any psychiatric disorder. Results: There were no differences between ARMS and controls regarding lifetime use, current amount of use, or maximum amount of cannabis use. There were also no differences between those who transitioned to a psychiatric disorder and those who did not regarding cannabis use variables. In ARMS individuals, cannabis use was significantly related to disorganization symptoms.Conclusion: The results of this study suggest that cannabis plays a role in the psychopathology of ARMS individuals, leading to more severe symptomatology.