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    Dysconnectivity in Schizophrenia Revisited: Abnormal Temporal Organization of Dynamic Functional Connectivity in Patients With a First Episode of Psychosis
    (2022)
    Juan P Ramirez-Mahaluf
    ;
    Ángeles Tepper
    ;
    Luz Maria Alliende
    ;
    Carlos Mena
    ;
    Carmen Paz Castañeda
    <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background and Hypothesis</jats:title> <jats:p>Abnormal functional connectivity between brain regions is a consistent finding in schizophrenia, including functional magnetic resonance imaging (fMRI) studies. Recent studies have highlighted that connectivity changes in time in healthy subjects. We here examined the temporal changes in functional connectivity in patients with a first episode of psychosis (FEP). Specifically, we analyzed the temporal order in which whole-brain organization states were visited.</jats:p> </jats:sec> <jats:sec> <jats:title>Study Design</jats:title> <jats:p>Two case-control studies, including in each sample a subgroup scanned a second time after treatment. Chilean sample included 79 patients with a FEP and 83 healthy controls. Mexican sample included 21 antipsychotic-naïve FEP patients and 15 healthy controls. Characteristics of the temporal trajectories between whole-brain functional connectivity meta-states were examined via resting-state functional MRI using elements of network science. We compared the cohorts of cases and controls and explored their differences as well as potential associations with symptoms, cognition, and antipsychotic medication doses.</jats:p> </jats:sec> <jats:sec> <jats:title>Study Results</jats:title> <jats:p>We found that the temporal sequence in which patients’ brain dynamics visited the different states was more redundant and segregated. Patients were less flexible than controls in changing their network in time from different configurations, and explored the whole landscape of possible states in a less efficient way. These changes were related to the dose of antipsychotics the patients were receiving. We replicated the relationship with antipsychotic medication in the antipsychotic-naïve FEP sample scanned before and after treatment.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>We conclude that psychosis is related to a temporal disorganization of the brain’s dynamic functional connectivity, and this is associated with antipsychotic medication use.</jats:p> </jats:sec>
    Scopus© Citations 17  1
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    Morbidity in Depressive Disorders
    (2017)
    Ross J. Baldessarini
    ;
    Alberto Forte
    ;
    Valerio Selle
    ;
    Kang Sim
    ;
    Leonardo Tondo
      5Scopus© Citations 60
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    Uso de cannabis en jóvenes hospitalizados por un primer episodio de psicosis: un estudio caso-control
    (2020)
    Carmen Paz Castañeda
    ;
    Luz María Alliende
    ;
    Bárbara Iruretagoyena
    ;
    Rubén Nachar
    ;
    Felipe Mancilla
    Scopus© Citations 2  13
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    Scopus© Citations 5  2
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    Imaging Social and Environmental Factors as Modulators of Brain Dysfunction: Time to Focus on Developing Non-Western Societies
    (2019)
    Nicolas A. Crossley
    ;
    Luz Maria Alliende
    ;
    Tomas Ossandon
    ;
    Carmen Paz Castañeda
    ;
    Alfonso González-Valderrama
    Scopus© Citations 15  2
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    Lithium treatment for unipolar major depressive disorder: Systematic review
    (2019) ;
    Kang Sim
    ;
    Leonardo Tondo
    ;
    Ariel Gorodischer
    ;
    Emilio Azua
    <jats:sec><jats:title>Background:</jats:title><jats:p> The potential value of lithium treatment in particular aspects of unipolar major depressive disorder remains uncertain. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> With reports of controlled trials identified by systematic searching of Medline, Cochrane Library, and PsycINFO literature databases, we summarized responses with lithium and controls followed by selective random-effects meta-analyses. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> We identified 36 reports with 39 randomized controlled trials: six for monotherapy and 12 for adding lithium to antidepressants for acute major depression, and 21 for long-term treatment. Data for monotherapy of acute depression were few and inconclusive. As an adjunct to antidepressants, lithium was much more effective than placebo ( p&lt;0.0001). For long-term maintenance treatment, lithium was more effective than placebo in monotherapy ( p=0.011) and to supplement antidepressants ( p=0.038), and indistinguishable from antidepressant monotherapy. </jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p> The findings indicate efficacy of lithium as a treatment for some aspects of major depressive disorder, especially as an add-on to antidepressants and for long-term prophylaxis. It remains uncertain whether some benefits of lithium treatment occur with many major depressive disorder patients, or if efficacy is particular to a subgroup with bipolar disorder-like characteristics or mixed-features. </jats:p></jats:sec>
    Scopus© Citations 64  8
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    Brain state-dependent recruitment of high-frequency oscillations in the human hippocampus
    (2017) ;
    Tomas Ossandon
    ;
    Marcelo Stockle
    ;
    Marcela Perrone-Bertolotti
    ;
    Philippe Kahane
      1Scopus© Citations 21
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    Quantitative Susceptibility Mapping MRI in Deep-Brain Nuclei in First-Episode Psychosis
    (2023)
    Marisleydis García Saborit
    ;
    Alejandro Jara
    ;
    Néstor Muñoz
    ;
    Carlos Milovic
    ;
    Angeles Tepper
    <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Psychosis is related to neurochemical changes in deep-brain nuclei, particularly suggesting dopamine dysfunctions. We used an magnetic resonance imaging-based technique called quantitative susceptibility mapping (QSM) to study these regions in psychosis. QSM quantifies magnetic susceptibility in the brain, which is associated with iron concentrations. Since iron is a cofactor in dopamine pathways and co-localizes with inhibitory neurons, differences in QSM could reflect changes in these processes.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We scanned 83 patients with first-episode psychosis and 64 healthy subjects. We reassessed 22 patients and 21 control subjects after 3 months. Mean susceptibility was measured in 6 deep-brain nuclei. Using linear mixed models, we analyzed the effect of case-control differences, region, age, gender, volume, framewise displacement (FD), treatment duration, dose, laterality, session, and psychotic symptoms on QSM.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Patients showed a significant susceptibility reduction in the putamen and globus pallidus externa (GPe). Patients also showed a significant R2* reduction in GPe. Age, gender, FD, session, group, and region are significant predictor variables for QSM. Dose, treatment duration, and volume were not predictor variables of QSM.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Reduction in QSM and R2* suggests a decreased iron concentration in the GPe of patients. Susceptibility reduction in putamen cannot be associated with iron changes. Since changes observed in putamen and GPe were not associated with symptoms, dose, and treatment duration, we hypothesize that susceptibility may be a trait marker rather than a state marker, but this must be verified with long-term studies.</jats:p> </jats:sec>
    Scopus© Citations 1  1
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    Effects of socioeconomic status in cognition of people with schizophrenia: results from a Latin American collaboration network with 1175 subjects
    (2021)
    Letícia Sanguinetti Czepielewski
    ;
    Luz Maria Alliende
    ;
    Carmen Paz Castañeda
    ;
    Mariana Castro
    ;
    Salvador M. Guinjoan
    <jats:title>Abstract</jats:title><jats:sec id="S0033291721002403_sec_a1"><jats:title>Background</jats:title><jats:p>Cognition heavily relies on social determinants and genetic background. Latin America comprises approximately 8% of the global population and faces unique challenges, many derived from specific demographic and socioeconomic variables, such as violence and inequality. While such factors have been described to influence mental health outcomes, no large-scale studies with Latin American population have been carried out. Therefore, we aim to describe the cognitive performance of a representative sample of Latin American individuals with schizophrenia and its relationship to clinical factors. Additionally, we aim to investigate how socioeconomic status (SES) relates to cognitive performance in patients and controls.</jats:p></jats:sec><jats:sec id="S0033291721002403_sec_a2" sec-type="methods"><jats:title>Methods</jats:title><jats:p>We included 1175 participants from five Latin American countries (Argentina, Brazil, Chile, Colombia, and Mexico): 864 individuals with schizophrenia and 311 unaffected subjects. All participants were part of projects that included cognitive evaluation with MATRICS Consensus Cognitive Battery and clinical assessments.</jats:p></jats:sec><jats:sec id="S0033291721002403_sec_a3" sec-type="results"><jats:title>Results</jats:title><jats:p>Patients showed worse cognitive performance than controls across all domains. Age and diagnosis were independent predictors, indicating similar trajectories of cognitive aging for both patients and controls. The SES factors of education, parental education, and income were more related to cognition in patients than in controls. Cognition was also influenced by symptomatology.</jats:p></jats:sec><jats:sec id="S0033291721002403_sec_a4" sec-type="conclusions"><jats:title>Conclusions</jats:title><jats:p>Patients did not show evidence of accelerated cognitive aging; however, they were most impacted by a lower SES suggestive of deprived environment than controls. These findings highlight the vulnerability of cognitive capacity in individuals with psychosis in face of demographic and socioeconomic factors in low- and middle-income countries.</jats:p></jats:sec>
      4Scopus© Citations 28
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    Scopus© Citations 39  3