Heloisa Helena Dos Santos Onias

Heloisa Helena Dos Santos Onias
Universidade Federal do Rio Grande do Norte | IIP · Brain Institute

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22
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Publications

Publications (22)
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The physical basis of consciousness is one of the most intriguing open questions that contemporary science aims to solve. By approaching the brain as an interactive information system, complex network theory has greatly contributed to understand brain process in different states of mind. We study an non-ordinary state of mind by comparing resting-s...
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We address the general problem of how to estimate an entropy given a Pearson correlation matrix. Most methods currently in use inject a degree of arbitrariness due to the thresholding of correlations. Here we propose an entirely objective method of entropy estimation that requires no thresholding. Let $\boldsymbol{R}$ be an $N\times N$ Pearson corr...
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O objetivo principal da mecânica estatística é relacionar a física microscópica regida pelas leis de Newton, ou então pela mecânica quântica, com a física macroscópica regida pelas leis da termodinâmica. Conceitos macroscópicos, tais como a temperatura, que não fazem sentido do ponto de vista microscópico, surgem na mecânica estatística como propri...
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Pranayama refers to a set of yoga breathing exercises. Recent evidence suggests that the practice of pranayama has positive effects on measures of clinical stress and anxiety. This study explored the impact of a Bhastrika pranayama training program on emotion processing, anxiety, and affect. We used a randomized controlled trial design with thirty...
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Open problems abound in the theory of complex networks, which has found successful application to diverse fields of science. With the aim of further advancing the understanding of the brain's functional connectivity, we propose to evaluate a network metric which we term the geodesic entropy. This entropy, in a way that can be made precise, quantifi...
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Background: Recent open-label trials show that psychedelics, such as ayahuasca, hold promise as fast-onset antidepressants in treatment-resistant depression. Methods: To test the antidepressant effects of ayahuasca, we conducted a parallel-arm, double-blind randomized placebo-controlled trial in 29 patients with treatment-resistant depression. P...
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Major depression is a highly prevalent mood disorder, affecting about 350 million people, and around 30% of the patients are resistant to currently available antidepressant medications. Recent evidence from a randomized controlled trial (RCT) supports the rapid antidepressant effects of the psychedelic ayahuasca in treatment-resistant depression. T...
Preprint
Full-text available
Major depression is a highly prevalent mood disorder, affecting about 350 million people, and around 30% of the patients are resistant to currently available antidepressant medications. Recent evidence from a randomized placebo-controlled trial supports the rapid antidepressant effects of the psychedelic ayahuasca in treatment-resistant depression....
Preprint
Recent open label trials show that psychedelics, such as ayahuasca, hold promise as fast-onset antidepressants in treatment-resistant depression. In order to further test the antidepressant effects of ayahuasca, we conducted a parallel-arm, double-blind randomized placebo-controlled trial in 29 patients with treatment-resistant depression. Patients...
Article
Full-text available
The entropic brain hypothesis holds that the key facts concerning psychedelics are partially explained in terms of increased entropy of the brain's functional connectivity. Ayahuasca is a psychedelic beverage of Amazonian indigenous origin with legal status in Brazil in religious and scientific settings. In this context, we use tools and concepts f...
Article
Functional magnetic resonance imaging (fMRI) has just completed 20years of existence. It currently serves as a research tool in a broad range of human brain studies in normal and pathological conditions, as is the case of epilepsy. To date, most fMRI studies aimed at characterizing brain activity in response to various active paradigms. More recent...
Article
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The simultaneous acquisition of EEG and fMRI data potentially allows measurement of brain signals with both high spatial and temporal resolution. Partial Directed Coherence (PDC) is a Granger-causality measure in the frequency domain, which is often used to infer the intensity of information flow over the brain from EEG data. In the current study,...

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