Welcome
Introduction

Senior Scientist

Learning Research and Development Center

Professor of Psychology

University of Pittsburgh

Professor of Neurosurgery

University of Pittsburgh Medical Center

Executive Board Member

Center for the Neural Basis of Cognition

Professor of Radiology

University of Pittsburgh

Dr. Schneider investigates dynamic cortical processing in human behavioral and brain imaging studies and computer simulation models. Behavioral and brain imaging studies focus on the understanding of human learning, executive control and attention.

Research examines cortical areas involved in learning including frontal, parietal, and cingulate cortex, subcortical structures (e.g., hippocampus) and sensory processing areas (e.g., thalamus and visual cortex). The brain imaging research utilizes functional Magnetic Resonance Imaging (fMRI) to produce high 3D spatial resolution (near millimeter) maps identifying the location and relative activation of stages of the visual system and Diffusion Tensor Imaging (DTI) to map cortical connectivity.

These data provide the basis for detailed tracking of the dynamics of cortical processing. We are developing methods to map human network level cortical processing. Behavioral and brain imaging data details how rapidly and in what forms attention moves and what are the component structures of learning (goal popping, memory retrieval, feedback processing). These methods are applied in pre-surgical planning to minimize damage during surgery.

Welcome   to the    Schneider Laboratory

Our research focuses on mapping the functional and anatomical network structure of the brain.

Using various methods, including fMRI and High Definition Fiber Tracking (HDFT), our goal is to characterize the "information superhighways" of the brain and how they change with experience.


Publications
 Pathak, S., Wu, Y.,  Gorantla, V.,  Zor, F., Kulahci, Y.,  Watson, A.,  Zhao, Y., & Schneider, W. (2022).  Fasciculus axonal connective tissue (FACT) mapping of porcine optic nerve for accurate connectome mapping.  Poster Presentation, ISMRM Conference, London, England.
Bhat, S. B., Kumar, B.V.R., Kalamkar, S.R., Kumar, V., Pathak, S., & Schneider, W. (2022).  Modeling and simulation of the potential indoor airborne transmission of SARS-CoV-2 virus through respiratory droplets. Physics of Fluids
Jha, R.R.,  Pathak, S.K., Nath, V., Schneider,  W., Kumar,  B.V.R., Bhavsar, A., &  Nigam, A. (2022). VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRI. Magnetic Resonance Imaging, Volume 90, 1-16. 
Pathak, S.K., Wu, Y.L., Gorantla, V.S., Zor, F., Kulahci, Y., Watson, A., Zhao, Y. & Schneider, W.(2022) Fasciculus Axonal Connective Tissue (FACT) Mapping of Porcine Optic Nerve for Accurate Connectome Mapping at Viable Cost. Poster Presentation at ISMRM Conference, London,England. 
Huang S.Y., Witzel, T., Keil, B., Schneider, W., et. al., (2021). Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. <I> Neuroimage.</I>
Jha, R.R., Gupta, H., Pathak, S.K., Schneider, W., Kumar, B.V.R., Bhavsar, A., & Nigam, A. (2021). "Enhancing HARDI reconstruction from undersampled data via multi-context and feature inter-dependency GAN." EEE 18th International Symposium on Biomedical Imaging (ISBI), 1103-1106.