Publications by authors named "S J Gotts"
Understanding brain-behavior relationships is the core goal of cognitive neuroscience. However, these relationships-especially those related to complex cognitive and psychopathological behaviors-have recently been shown to suffer from very small effect sizes (0.1 or less), requiring potentially thousands of participants to yield robust findings.
View Article and Find Full Text PDFParcellations of resting-state functional magnetic resonance imaging (rs-fMRI) data are widely used to create topographical maps of functional networks in the human brain. While such network maps are highly useful for studying brain organization and function, they usually require large sample sizes to make them, thus creating practical limitations for researchers that would like to carry out parcellations on data collected in their labs. Furthermore, it can be difficult to quantitatively evaluate the results of a parcellation since networks are usually identified using a clustering algorithm, like principal components analysis, on the results of a single group-averaged connectivity map.
View Article and Find Full Text PDFArticle Synopsis
- * They found that ASD individuals displayed atypical functional network patterns, specifically in the stability of connectivity across brain regions, weaker differentiation of specific brain areas, and unusual integration of subcortical structures with the neocortex.
- * The findings suggest that individuals with ASD have distinct brain connectivity patterns that differ from typically developing individuals, highlighting how their brain networks may function differently.
A large portion of human knowledge comprises "abstract" concepts that lack readily perceivable properties (e.g., "love" and "justice").
View Article and Find Full Text PDFBackground: Researchers studying autism spectrum disorder (ASD) lack a comprehensive map of the functional network topography in the ASD brain. We used high-quality resting state functional MRI (rs-fMRI) connectivity data and a robust parcellation routine to provide a whole-brain map of functional networks in a group of seventy individuals with ASD and a group of seventy typically developing (TD) individuals.
Methods: The rs-fMRI data were collected using an imaging sequence optimized to achieve high temporal signal-to-noise ratio (tSNR) across the whole-brain.