Publications by authors named "P Brambilla"
Understanding the neurobiological underpinnings of weight gain could reduce excess mortality and improve long-term trajectories of psychiatric disorders. We used support-vector machines and whole-brain voxel-wise grey matter volume to generate and validate a BMI predictor in healthy individuals (N = 1504) and applied it to individuals with schizophrenia (SCZ,N = 146), clinical high-risk states for psychosis (CHR,N = 213) and recent-onset depression (ROD,N = 200). We computed BMIgap (BMI-BMI), interrogated its brain-level overlaps with SCZ and explored whether BMIgap predicted weight gain at 1- and 2-year follow-up.
View Article and Find Full Text PDFData aggregation across multiple research centers is gaining importance in the context of MRI research, driving diverse high-dimensional datasets to form large-scale heterogeneous sample, increasing statistical power and relevance of machine learning and deep learning algorithm. Site-related effects have been demonstrated to introduce bias in MRI features and confound subsequent analyses. Although Combating Batch (ComBat) technique has been recently reported to successfully harmonize multi-scale neuroimaging features, its performance assessments are still limited and largely based on qualitative visualizations and statistical analyses.
View Article and Find Full Text PDFArticle Synopsis
- * Various shape analysis methods, including scalar curvature signatures and advanced computational techniques, were used to evaluate the cortical structures, aiming to enhance predictions of fetal gestational age.
- * The GSHOT method proved to be the most effective in predicting gestational age, with higher accuracy in neurotypical fetuses compared to pathological ones, thereby offering a sophisticated tool for studying fetal brain development.
Article Synopsis
- The review explores how polyunsaturated fatty acids (PUFAs) are linked to various mental health disorders including dementia, schizophrenia, and anorexia nervosa by analyzing multiple types of studies.
- Evidence gathered indicates that PUFAs, especially ALA, EPA, and DHA, have neuroprotective properties that can improve brain function and behavior.
- A decrease in these fatty acids has been observed in populations with mental health disorders, suggesting that PUFA supplementation could serve as a promising treatment to help combat neuronal degeneration.
Objective: To identify the COVID-19 pandemic impact on well-being/mental health, coping strategies, and risk factors in adolescents worldwide.
Method: This study was based on an anonymous online multi-national/multi-language survey in the general population (representative/weighted non-representative samples, 14-17 years of age), measuring change in well-being (World Health Organization-Five Well-Being Index [WHO-5]/range = 0-100) and psychopathology (validated composite P-score/range = 0-100), WHO-5 <50 and <29, pre- vs during COVID-19 pandemic (April 26, 2020-June 26, 2022). Coping strategies and 9 a priori- defined individual/cumulative risk factors were measured.