Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental disorders that share deficits in sociability, communication, and restrictive and repetitive interests. ASD is likely polygenic in origin in most cases, but we presently lack an understanding of the relationships between ASD susceptibility genes and the neurobiological and behavioral phenotypes of ASD. Two genes that have been implicated as conferring susceptibility to ASD are PTEN and Serotonin transporter (SLC6A4). The PI3K and serotonin pathways, in which these genes respectively act, are both potential biomarkers for ASD diagnosis and treatment. Biochemical evidence exists for an interaction between these pathways; however, the relevance of this for the pathogenesis of ASD is unclear. We find that Pten haploinsufficient (Pten(+/-)) mice are macrocephalic, and this phenotype is exacerbated in Pten(+/-); Slc6a4(+/-) mice. Furthermore, female Pten(+/-) mice are impaired in social approach behavior, a phenotype that is exacerbated in female Pten(+/-); Slc6a4(+/-) mice. While increased brain size correlates with decreased sociability across these genotypes in females, within each genotype increased brain size correlates with increased sociability, suggesting that epigenetic influences interact with genetic factors in influencing the phenotype. These findings provide insight into an interaction between two ASD candidate genes during brain development and point toward the use of compound mutant mice to validate biomarkers for ASD against biological and behavioral phenotypes.
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http://dx.doi.org/10.1073/pnas.0804428106 | DOI Listing |
J Evid Based Med
January 2025
School of Teacher Education, Dali University, Dali, China.
Objective: Extraversion is a fundamental personality dimension that contributes to an individual's overall health and well-being. Many studies have examined the neural bases of extraversion but these results are inconsistent. This study adopted a meta-analysis approach to examine the brain activity correlates of extraversion by incorporating functional neuroimaging studies in the context of positive affect/emotional stimuli.
View Article and Find Full Text PDFBrain Behav Immun Health
February 2025
Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100, Novara, Italy.
Major Depressive Disorder (MDD) is a widespread psychiatric condition impacting social and occupational functioning, making it a leading cause of disability. The diagnosis of MDD remains clinical, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria, as biomarkers have not yet been validated for diagnostic purposes or as predictors of treatment response. Traditional treatment strategies often follow a one-size-fits-all approach obtaining suboptimal outcomes for many patients who fail to experience response or recovery.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Imaging AI Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.
View Article and Find Full Text PDFMed Phys
January 2025
Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Background: High-resolution brain imaging is crucial in clinical diagnosis and neuroscience, with ultra-high field strength MRI systems ( ) offering significant advantages for imaging neuronal microstructures. However, achieving magnetic field homogeneity is challenging due to engineering faults during the installation of superconducting strip windings and the primary magnet.
Purpose: This study aims to design and optimize active superconducting shim coils for a 7 T animal MRI system, focusing on the impact of safety margin, size, and adjustability of the second-order shim coils on the MRI system's optimization.
NMR Biomed
March 2025
Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Gliomas are highly heterogeneous and often include a nonenhancing component that is hyperintense on T weighted MRI. This can often not be distinguished from secondary gliosis and surrounding edema. We hypothesized that the extent of these T hyperintense areas can more accurately be determined on high-quality 7 T MRI scans.
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