Title: Pre- to post-training change in childcare provider belief that developmental monitoring is important and ability to identify appropriate referrals to make when there is a developmental concern Legend: Training in developmental monitoring significantly increases …
Demonstration of the ability of MPnRAGE to correct for severe motion artifacts in a 7 year old girl. Retrospective motion correction greatly reduced motion-induced blurring in both structural T1-weighted images and quantitative T1 maps. The correction greatly improves the reliability of brain imaging measurements in children. The plots indicate the estimated amount of head motions that were corrected.
Gene expression levels vary across developmental stage, cell type, and region in the brain. Genomic variants also contribute to the variation in expression, and some neuropsychiatric disorder loci may exert their effects through this mechanism. To investigate these relationships, we present BrainVar, a unique resource of paired whole-genome and bulk tissue RNA sequencing from the dorsolateral prefrontal cortex of 176 individuals across prenatal and post- natal development.
Title: Identification of FMR1-regulated molecular networks in human neurodevelopment Legend: Generation of FMR1-FLAG hPSCs using one-step seamless genome editing using CRISPR-Cas9, Neural differentiation of hPSCs into forebrain dorsal NPCs (dNPC) and ventral MGE-like NPCs (vNPC), …
The molecular mechanisms and functions in complex biological systems currently remain elusive. Recent high-throughput techniques, such as next-generation sequencing, have generated a wide variety of multiomics datasets that enable the identification of biological functions and mechanisms via multiple facets. However, integrating these large-scale multiomics data and discovering functional insights are, nevertheless, challenging tasks.
We present a unified heat kernel smoothing framework for modeling 3D anatomical surface data extracted from medical images. Due to image acquisition and preprocessing noises, it is expected the medical imaging data is noisy. The surface data of the anatomical structures is regressed using the weighted linear combination of Laplace-Beltrami (LB) eigenfunctions to smooth out noisy data and perform statistical analysis.
Motor challenges are commonly reported in autism spectrum disorder (ASD). Yet, there is substantial heterogeneity in motor ability within ASD, and it is unknown what behavioral characteristics best explain individual differences in motor ability in ASD and related conditions.
Charcot-Marie-Tooth (CMT) disease is most commonly caused by duplication of a chromosomal segment surrounding Peripheral Myelin Protein 22, or PMP22 gene, which is classified as CMT1A. Several candidate therapies reduce Pmp22 mRNA levels in CMT1A rodent models, but development of biomarkers for clinical trials in CMT1A is a challenge given its slow progression and difficulty in obtaining nerve samples.
Amyotrophic lateral sclerosis (ALS) is a late-onset neuromuscular disease with no cure and limited treatment options. Patients experience a gradual paralysis leading to death from respiratory complications on average only 2-5 years after diagnosis.
Title: Comparing tense and agreement productivity in boys with fragile X syndrome, children with developmental language disorder, and children with typical development Legend: Pattern of tense and agreement productivity across boys with fragile X syndrome (FXS), …