The Stanford Cognitive and Systems Neuroscience Laboratory conducts research in a variety of areas using advanced brain imaging techniques (fMRI, sMRI, DTI and EEG) as well as behavioral, genetic and computational methods. Our research is focused in four main areas.
Discovering fundamental principals underlying normal brain function and cognitive development
Abrams, D. A., et al. (2016). Neural circuits underlying mother’s voice perception predict social communication abilities in children. Proceedings of the National Academy of Sciences.
Chen, T., et al. (2016). Distinct global brain dynamics and spatiotemporal organization of the salience network. PLOS Biology.
Cai, W., et al. (2015). Causal Interactions within a Frontal-Cingulate-Parietal Network during Cognitive Control: Convergent evidence from a multisite-multitask investigation. Cerebral Cortex.
Developing brain-based evidence and interventions to improve cognitive skills in children with learning disabilities
Evans, T., et al. (2015). Brain structural integrity and intrinsic functional connectivity forecast 6-year longitudinal growth in children's numerical abilities. Journal of Neuroscience.
Iuculano, T., et al. (2015). Cognitive tutoring induces widespread neuroplasticity and remediates brain function in children with mathematical learning disabilities. Nature Communications.
Jolles, D., et al. (2015). Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning. Brain Structure and Function.
Investigating atypical development of cognitive, affective and social information processing systems in individuals with autism and related neurodevelopmental disorders
Young, C., et al. (2016). Anhedonia and general distress show dissociable ventromedial prefrontal cortex connectivity in major depressive disorder. Translational Psychiatry
*Hiniker, A. *Rosenberg-Lee, M., & Menon, V. (2015). Distinctive role of symbolic number sense in mediating the mathematical abilities of children with autism. Journal of Autism and Developmental Disorders.
Supekar, K., Menon, V., (2015). Sex differences in structural organization of motor systems and thier dissociable links with repetitive/restricted behaviors in children with autism. Molecular Autism.
Developing new computational methods for characterizing the structural and functional architecture of the human brain
Ryali, S., et al. (2016). Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions. NeuroImage.
Ryali, S., et al. (2016). Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human connectome project data. Journal of Neuroscience Methods.
Ryali, S., et al. (2015). Development and validation of consensus clustering-based framework for brain segmentation using resting fMRI. Journal of Neuroscience Methods, 240:128-40.