46 research outputs found

    The impact of spectral basis set composition on estimated levels of cingulate glutamate and its associations with different personality traits

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    Background: 1H-MRS is increasingly used in basic and clinical research to explain brain function and alterations respectively. In psychosis research it is now one of the main tools to investigate imbalances in the glutamatergic system. Interestingly, however, the findings are extremely variable even within patients of similar disease states. One reason may be the variability in analysis strategies, despite suggestions for standardization. Therefore, our study aimed to investigate the extent to which the basis set configuration– which metabolites are included in the basis set used for analysis– would affect the spectral fit and estimated glutamate (Glu) concentrations in the anterior cingulate cortex (ACC), and whether any changes in levels of glutamate would be associated with psychotic-like experiences and autistic traits. Methods: To ensure comparability, we utilized five different exemplar basis sets, used in research, and two different analysis tools, r-based spant applying the ABfit method and Osprey using the LCModel. Results: Our findings revealed that the types of metabolites included in the basis set significantly affected the glutamate concentration. We observed that three basis sets led to more consistent results across different concentration types (i.e., absolute Glu in mol/kg, Glx (glutamate + glutamine), Glu/tCr), spectral fit and quality measurements. Interestingly, all three basis sets included phosphocreatine. Importantly, our findings also revealed that glutamate levels were differently associated with both schizotypal and autistic traits depending on basis set configuration and analysis tool, with the same three basis sets showing more consistent results. Conclusions: Our study highlights that scientific results may be significantly altered depending on the choices of metabolites included in the basis set, and with that emphasizes the importance of carefully selecting the configuration of the basis set to ensure accurate and consistent results, when using MR spectroscopy. Overall, our study points out the need for standardized analysis pipelines and reporting

    OBJETIVAÇÃO DE UM CURRÍCULO DE EDUCAÇÃO FÍSICA: ENTRE O PRESCRITO E O VIVIDO

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    O presente estudo busca compreender a construção diária de um currículo de Educação Física, analisando os referenciais e documentos teórico-metodológicos com os quais um professor participante ativo de um processo de revisão curricular lida/mobiliza em seu dia a dia para a objetivação do currículo em ação, quais os condicionantes externos e internos influenciaram as escolhas e as formas desse sujeito perceber, explicar e descrever a organização e o trato pedagógico conferido aos conteúdos desse componente curricular no seu contexto educacional de trabalho. Referencia suas análises numa abordagem sociológica sobre a construção do currículo de Educação Física e opta pela perspectiva qualitativa, apoiando-se na etnometodologia. Utiliza a abordagem interpretativa, exprimindo um caminho metodológico que confere centralidade às ações do sujeito no processo investigado. Os instrumentos de coleta de dados foram: a observação de caráter participante, as entrevistas e a análise de documentos. Investiga os espaços de discussão coletiva, a sistematização dos documentos, as propostas, as ações e as aulas da professora colaboradora. Constata a influência de condicionantes externos e internos que tanto, potencializam a autoria e autonomia da professora colaboradora na construção diária do currículo vivido de Educação Física, quanto geram tensões, lutas e conflitos. As análises evidenciam que as escolhas da professora na construção do projeto pedagógico para á área de Educação Física pautam-se numa perspectiva que considera as vivências e experiências dos alunos, bem como a realidade da comunidade onde atua

    Auditory Predictions and Prediction Errors in Response to Self-Initiated Vowels.

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    It has been suggested that speech production is accomplished by an internal forward model, reducing processing activity directed to self-produced speech in the auditory cortex. The current study uses an established N1-suppression paradigm comparing self- and externally initiated natural speech sounds to answer two questions: (1) Are forward predictions generated to process complex speech sounds, such as vowels, initiated via a button press? (2) Are prediction errors regarding self-initiated deviant vowels reflected in the corresponding ERP components? Results confirm an N1-suppression in response to self-initiated speech sounds. Furthermore, our results suggest that predictions leading to the N1-suppression effect are specific, as self-initiated deviant vowels do not elicit an N1-suppression effect. Rather, self-initiated deviant vowels elicit an enhanced N2b and P3a compared to externally generated deviants, externally generated standard, or self-initiated standards, again confirming prediction specificity. Results show that prediction errors are salient in self-initiated auditory speech sounds, which may lead to more efficient error correction in speech production

    Action selection in early stages of psychosis: an active inference approach

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    BACKGROUND: To interact successfully with their environment, humans need to build a model to make sense of noisy and ambiguous inputs. An inaccurate model, as suggested to be the case for people with psychosis, disturbs optimal action selection. Recent computational models, such as active inference, have emphasized the importance of action selection, treating it as a key part of the inferential process. Based on an active inference framework, we sought to evaluate previous knowledge and belief precision in an action-based task, given that alterations in these parameters have been linked to the development of psychotic symptoms. We further sought to determine whether task performance and modelling parameters would be suitable for classification of patients and controls. METHODS: Twenty-three individuals with an at-risk mental state, 26 patients with first-episode psychosis and 31 controls completed a probabilistic task in which action choice (go/no-go) was dissociated from outcome valence (gain or loss). We evaluated group differences in performance and active inference model parameters and performed receiver operating characteristic (ROC) analyses to assess group classification. RESULTS: We found reduced overall performance in patients with psychosis. Active inference modelling revealed that patients showed increased forgetting, reduced confidence in policy selection and less optimal general choice behaviour, with poorer action-state associations. Importantly, ROC analysis showed fair-to-good classification performance for all groups, when combining modelling parameters and performance measures. LIMITATIONS: The sample size is moderate. CONCLUSION: Active inference modelling of this task provides further explanation for dysfunctional mechanisms underlying decision-making in psychosis and may be relevant for future research on the development of biomarkers for early identification of psychosis
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