One of the more recent focuses in neuroimaging is on functional connectivity, or how different regions of the brain activate together. My interest in this area is both methodological and substantive. In terms of methods research, I'm want to develop new methods that improve functional connectivity and the use of networks in neuroimaging, including finding better ways to examine between-subject heterogeneity. In terms of substantive research, I'm interested in developmental disorders (e.g., autism spectrum disorder, ADHD) and clinical disorders such as schizophrenia.
Henry, T. R., Duffy, K., Rudolph, M. D., Mostofsky, S. H. & Cohen, J. R., (In Revision) Bridging global and local topology in whole brain networks using the network based statistic jackknife. Network Neuroscience.
Henry, T. R., Feczko, E., Cordova, M., Earl, E., Williams, S., Nigg, J. T., Fair D. A., & Gates, K. (2019). Comparing functional connectivity between groups with confirmatory subgrouping GIMME. NeuroImage.
Henry, T. R., & Cohen., J. (2019). Dysfunctional brain network organization in neurodevelopmental disorders. In P. J. Laurienti, B. Munsell, & G. Wu. (Eds.) Connectomics: Methods, Mathematical Models and Applications.
Henry, T. R., Dichter, G., & Gates, K.. (2018). Age and gender effects on intrinsic connectivity in autism using functional integration and segregation. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
Henry, T. R., & Gates, K. (2016). Causal search procedures for fMRI: Review and suggestions. Behaviormetrika. doi: 10.1007/s41237-016-0010-8