Bridging Genetic Insights with Neuroimaging in Autism Spectrum Disorder-A Systematic Review.
Joana VilelaCélia RasgaJoão Xavier SantosHugo F M C M MartinianoAna Rita MarquesGuiomar OliveiraAstrid Moura VicentePublished in: International journal of molecular sciences (2024)
Autism Spectrum Disorder (ASD) is an early onset neurodevelopmental disorder characterized by impaired social interaction and communication, and repetitive patterns of behavior. Family studies show that ASD is highly heritable, and hundreds of genes have previously been implicated in the disorder; however, the etiology is still not fully clear. Brain imaging and electroencephalography (EEG) are key techniques that study alterations in brain structure and function. Combined with genetic analysis, these techniques have the potential to help in the clarification of the neurobiological mechanisms contributing to ASD and help in defining novel therapeutic targets. To further understand what is known today regarding the impact of genetic variants in the brain alterations observed in individuals with ASD, a systematic review was carried out using Pubmed and EBSCO databases and following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This review shows that specific genetic variants and altered patterns of gene expression in individuals with ASD may have an effect on brain circuits associated with face processing and social cognition, and contribute to excitation-inhibition imbalances and to anomalies in brain volumes.
Keyphrases
- autism spectrum disorder
- resting state
- attention deficit hyperactivity disorder
- white matter
- early onset
- intellectual disability
- functional connectivity
- gene expression
- meta analyses
- systematic review
- healthcare
- cerebral ischemia
- genome wide
- high resolution
- dna methylation
- mental health
- multiple sclerosis
- clinical practice
- human health
- photodynamic therapy
- blood brain barrier
- risk assessment
- artificial intelligence
- quantum dots
- energy transfer
- bioinformatics analysis