Results of neuroimaging datasets aggregated from multiple sites may be biased by site- specific profiles in participants' demographic and clinical characteristics, as well as MRI …
Typical fMRI analyses often assume a canonical hemodynamic response function (HRF) that primarily focuses on the peak height of the overshoot, neglecting other morphological …
C Moreau, C Deruelle, G Auzias - Machine Learning for Brain Disorders, 2023 - Springer
Neurodevelopmental disorders (NDDs) constitute a major health issue with> 10% of the general worldwide population affected by at least one of these conditions—such as autism …
Delineating the relationship between human neurodevelopment and the maturation of the hypothalamic-pituitary-gonadal (HPG) axis during puberty is critical for investigating the …
JS Kippenhan, MD Gregory, T Nash, P Kohn… - Journal of …, 2023 - Springer
Background Williams syndrome (WS), a rare neurodevelopmental disorder caused by hemizygous deletion of~ 25 genes from chromosomal band 7q11. 23, affords an exceptional …
Objective The purpose of this study was to examine the Alzheimer's disease metabolite signature through magnetic resonance spectroscopy in adults with Down syndrome and its …
The critical importance of justifying the inclusion of covariates is a facet often overlooked in data analysis. While the incorporation of covariates typically follows informal guidelines, we …
Emotionally expressive faces evoke enhanced neural responses in multiple brain regions, a phenomenon thought to depend critically on the amygdala. This emotion-related modulation …