Publications by authors named "Maria A Omelchenko"

Machine learning approaches using structural magnetic resonance imaging (sMRI) can be informative for disease classification, although their ability to predict psychosis is largely unknown. We created a model with individuals at CHR who developed psychosis later (CHR-PS+) from healthy controls (HCs) that can differentiate each other. We also evaluated whether we could distinguish CHR-PS+ individuals from those who did not develop psychosis later (CHR-PS-) and those with uncertain follow-up status (CHR-UNK).

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Importance: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in individuals at psychosis risk may be nested within the range observed in healthy individuals.

Objective: To quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder.

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Importance: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in the majority of individuals at psychosis risk may be nested within the range observed in healthy individuals.

Objective: To quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high-risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder.

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Article Synopsis
  • Individuals at Clinical High Risk for Psychosis (CHR-P) show diverse neuroanatomical profiles, which this study aimed to quantify using MRI data from a large international dataset.
  • The ENIGMA CHR-P consortium analyzed neuroimaging from 1579 CHR-P individuals and 1243 healthy controls (HC) to compare structural measures like cortical surface area and thickness.
  • Findings highlighted greater individual-level neuroanatomical divergence in CHR-P individuals compared to HC, though no significant link was found between neuroanatomical heterogeneity and the transition to psychosis.
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Aim of the study is to reveal clinical and biological correlations in patients with adolescent depression and attenuated psychotic symptoms. Activity of platelet enzymes involved in glutamate-, glutathione- and energy metabolism was evaluated in control group and in the patients, because these systems are suspected as related to pathogenesis of psychosis. Adolescents (78 men, 16-25 years old) hospitalized with the first acute depressive state composed two groups: with prevalence of attenuated psychotic positive or negative symptoms (Gr1 and Gr2, 48 and 30 patients, respectively).

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Article Synopsis
  • - The ENIGMA initiative focuses on identifying neurobiological markers that indicate the risk of developing psychosis, utilizing the largest neuroimaging sample of individuals classified as clinically high risk (CHR) so far.
  • - A study analyzed baseline MRI data from 3169 participants across 31 international sites, comparing structural brain differences between CHR individuals and healthy controls, as well as between those who later developed psychosis (CHR-PS+) and those who did not (CHR-PS-).
  • - Results showed that CHR individuals had significantly lower cortical thickness in certain brain regions compared to healthy controls, indicating potential neurobiological changes linked to the progression to psychosis.
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Introduction: Investigating early changes in the emotional sphere within the schizophrenia course is a perspective direction in clinical psychology and psychiatry. Intactness of positive emotions, in particular, humour perception, may be a very important resource for patients. At the same time, humour perception is very sensitive to pathological conditions, such as the fear of being laughed at, known as gelotophobia.

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Article Synopsis
  • The study investigates differences in white and grey matter structures in young males at ultra-high risk of psychosis compared to healthy controls using advanced imaging techniques.* -
  • Findings revealed increased radial diffusivity in certain white matter tracts and reduced cortical thickness in various brain regions among UHR subjects, suggesting potential structural abnormalities.* -
  • The researchers concluded that these alterations in brain connectivity and anatomy may contribute to the cognitive and social functioning deficits observed in individuals at risk for developing psychosis.*
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