Publications by authors named "V Ortiz-Garcia de la Foz"

Background: Cognitive reserve (CR) has been associated with the development and prognosis of psychosis. Different proxies have been used to estimate CR among individuals. A composite score of these proxies could elucidate the role of CR at illness onset on the variability of clinical and neurocognitive outcomes.

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  • Researchers in neuroscience are using Big Data to improve the reliability and replication of cognitive studies, focusing on memory testing.
  • They conducted a mega-analysis with data from 53 studies, involving over 10,500 individuals, employing methods to harmonize data and reduce variability across different sites.
  • Their findings show that large-scale data sharing can enhance the reproducibility of research in behavioral sciences, and they offer a free conversion tool for this purpose.
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  • Schizophrenia can make the brain age faster, leading to more cognitive problems and health issues.
  • A study looked at brain scans of 2,803 people with schizophrenia and 2,598 healthy people to see how much older their brains looked compared to their actual ages.
  • The results showed that people with schizophrenia had brains that looked about 3.55 years older than they should be, but this wasn’t linked to how long they had the illness or how severe their symptoms were.
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  • Cardiometabolic dysfunction is prevalent among young individuals with psychosis, and the PsyMetRiC tool was developed to predict metabolic syndrome risk using various personal health data.
  • Researchers validated PsyMetRiC in two European samples, showing that its full model (which includes biochemical data) performed better than the partial model in predicting risk.
  • The results indicate that PsyMetRiC is a promising tool for helping clinicians identify at-risk young patients, but further studies are needed for broader validation.
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  • The human brain evolves over time, with changes in structure affecting mental health and diseases throughout life.
  • This study identifies genetic variants that influence brain growth and shrinkage, using data from 15,640 individuals and focusing on 15 brain structures.
  • Key genes linked to metabolism were found, highlighting connections to conditions like depression and schizophrenia, and suggesting that understanding these genetic factors could lead to insights about healthy and problematic brain development and aging.
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