Affiliation: Stanford University
- Combining structural and functional neuroimaging data for studying brain connectivity: a reviewElena Rykhlevskaia
Beckman Institute and Psychology Department, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
Psychophysiology 45:173-87. 2008..Promising trends involve (a) studies where both functional and anatomical connectivity data are collected using high-resolution neuroimaging methods and (b) the development of advanced quantitative models of integration...
- Dissociable connectivity within human angular gyrus and intraparietal sulcus: evidence from functional and structural connectivityLucina Q Uddin
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
Cereb Cortex 20:2636-46. 2010....
- Bound pool fractions complement diffusion measures to describe white matter micro and macrostructureNikola Stikov
Electrical Engineering, Stanford University, Stanford, CA, USA
Neuroimage 54:1112-21. 2011..We found that several major tracts have high BPF, suggesting a higher density of myelin in these tracts. We interpret these results in the context of a quantitative tissue model...
- Lagged covariance structure models for studying functional connectivity in the brainElena Rykhlevskaia
Beckman Institute and Psychology Department, University of Illinois at Urbana-Champaign, 2161 Beckman Institute, 405 N. Mathews Avenue, Urbana, IL 61801, USA
Neuroimage 30:1203-18. 2006..This approach allows for fitting brain imaging data to complex models that capture dynamic cognitive processes as they rapidly evolve over time...