Publications by authors named "G Busatto"

Article Synopsis
  • Schizophrenia (SCZ) shows differences in brain structure and symptoms between men and women, suggesting distinct neurobiological factors linked to sex.
  • The study analyzed MRI data from nearly 6,000 participants to explore the effects of sex and diagnosis on the shape of deep brain regions in individuals with SCZ compared to healthy controls.
  • Results indicated that women with SCZ had more pronounced shape abnormalities than men, but there were no significant interactions between diagnosis and sex, highlighting the need for further exploration of sex-related differences in schizophrenia's neurobiology.
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Only a small number of studies have assessed structural differences between the two hemispheres during childhood and adolescence. However, the existing findings lack consistency or are restricted to a particular brain region, a specific brain feature, or a relatively narrow age range. Here, we investigated associations between brain asymmetry and age as well as sex in one of the largest pediatric samples to date (n = 4265), aged 1-18 years, scanned at 69 sites participating in the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium.

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Introduction: Post-COVID-19 condition (PCC) is characterised by a plethora of symptoms, with fatigue appearing as the most frequently reported. The alterations that drive both the persistent and post-acute disease newly acquired symptoms are not yet fully described. Given the lack of robust knowledge regarding the mechanisms of PCC we have examined the impact of inflammation in PCC, by evaluating serum cytokine profile and its potential involvement in inducing the different symptoms reported.

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Normal and pathologic neurobiological processes influence brain morphology in coordinated ways that give rise to patterns of structural covariance (PSC) across brain regions and individuals during brain aging and diseases. The genetic underpinnings of these patterns remain largely unknown. We apply a stochastic multivariate factorization method to a diverse population of 50,699 individuals (12 studies and 130 sites) and derive data-driven, multi-scale PSCs of regional brain size.

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Article Synopsis
  • Theoretical perspectives in the affective sciences have increased in variety rather than converging due to differing beliefs about the nature and function of human emotions.
  • A teleological principle is proposed to create a unified approach by viewing human affective phenomena as algorithms that adapt to comfort or monitor these adaptations.
  • This framework aims to organize existing theories and inspire new research in the field, leading to a more integrated understanding of human affectivity through the concept of the Human Affectome.
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