Publications by authors named "F Crivello"
Article Synopsis
- Subcortical brain structures play a crucial role in various developmental and psychiatric disorders, and a study analyzed brain volumes in 74,898 individuals, identifying 254 genetic loci linked to these volumes, which accounted for up to 35% of variation.
- The research included exploring gene expression in specific neural cell types, focusing on genes involved in intracellular signaling and processes related to brain aging.
- The findings suggest that certain genetic variants not only influence brain volume but also have potential causal links to conditions like Parkinson’s disease and ADHD, highlighting the genetic basis for risks associated with neuropsychiatric disorders.
Background: Adverse childhood experiences (ACEs) have been associated with volume alterations of stress-related brain structures among aging and clinical populations, however, existing studies have predominantly assessed only one type of ACE, with small sample sizes, and it is less clear if these associations exist among a general population of young adults.
Objective: The aims were to describe structural hippocampal volumetric differences by ACEs exposure and investigate the association between ACEs exposure and left and right hippocampal volume in a student sample of young adults.
Methods: 959 young adult students (18-24 years old) completed an online questionnaire on ACEs, mental health conditions, and sociodemographic characteristics.
Article Synopsis
- Subcortical brain structures play a crucial role in various disorders, and a study analyzed the genetic basis of brain volumes in nearly 75,000 individuals of European ancestry, revealing 254 loci linked to these volumes.
- The research identified significant gene expression in neural cells, relating to brain aging and signaling, and found that polygenic scores could predict brain volumes across different ancestries.
- The study highlights genetic connections between brain volumes and conditions like Parkinson's disease and ADHD, suggesting specific gene expression patterns could be involved in neuropsychiatric disorders.
Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model.
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- Cerebral small vessel disease (cSVD) is a significant contributor to stroke and dementia, predominantly indicated by white matter hyperintensities (WMH) seen in MRI scans of older adults.
- Recent research has linked genetic risk factors for WMH to the microstructure of white matter in young adults, which suggests that early changes in the brain's structure may be relevant to cSVD.
- A study involving genome-wide association testing identified 21 genetic loci related to neurite density and orientation in young adults, showcasing potential early markers for understanding cSVD's progression and underlying mechanisms.