Project Title: Development of an ultra-fast imaging paradigm to record Purkinje cell activity in behaving mice

Project Title: Head-mounted Microprism Microscopes to Image Cerebellum during Cognitive Flexibility

Project Title: Development of an electro-optic 2-photon microscope -- toward imaging millisecond neural computations

Dr. Warkentin's work will concentrate on the design and optimization of electro-optic deflection devices and their application in the development of a new ultrafast random access 2-photon neuroimaging microscope. Once built, this microscope will be capable of achieving kHz rate volumetric 2-photon in vivo imaging of neural dynamics, pushing the limits of current optical neuroimaging technologies.

Project Title: Advancing Neuroimaging Analysis: Novel Tools for Characterizing Subject-Specific Brain Activity Patterns

Dr. Durkin's work is focused on characterizing heterogeneity in overall patterns of brain activity between subjects as elicited by different task paradigms. A main part of this project involves methods development–namely, developing imaging analysis tools geared toward capturing subject-unique brain activity and distinguishing it from noise.  This involves using and current analysis tools such as Intersubject correlation (ISC),  Inter-Subject Representational Similarity Analysis (IS-RSA), and Network Control Theory, all of which can be geared toward between-subject measurements. Additionally, I seek to develop approaches to distinguishing subject-unique signals from noise, using PCA approaches as implemented in GLMdenoise. 

Project Title: Cortex wide connectomics in rhesus macaque; from single neurons to hemodynamics

Dr. Hoffman's work is focused on using both ultra high field neuroimaging and recent developments in large-scale electrophysiology in order to elucidate network scale neural activity during cognitive tasks. This research will allow for a bridge between invasive and non-invasive measures of neural activity.

Publications:

Project Title: Examining changes in connectivity following transcranial direct current stimulation (tDCS)

Dr. Kazinka's research will focus on using neuromodulation techniques like transcranial direct current stimulation to examine its effects on improving cognition in tandem with cognitive training. In addition, we will examine how repeated tDCS impacts functional connectivity throughout the brain. I will use this opportunity to engage in cutting-edge neuroimaging analyses to answer these questions.

Publications:

Dec. 2022

Redish, A. D., Abram, S. V., Cunningham, P. J., Duin, A. A., Durand-de Cuttoli, R., Kazinka, R., Kocharian, A., MacDonald, A. W., 3rd, Schmidt, B., Schmitzer-Torbert, N., Thomas, M. J., & Sweis, B. M. (2022). Sunk cost sensitivity during change-of-mind decisions is informed by both the spent and remaining costs. Communications biology, 5(1), 1337. https://doi.org/10.1038/s42003-022-04235-6

Nov. 2022

Kazinka R. (2022). The Specificity of Paranoia and Uncertainty. Biological psychiatry. Cognitive neuroscience and neuroimaging, 7(11), 1053–1054. https://doi.org/10.1016/j.bpsc.2022.09.011

Oct. 2022

Souther, M. K., Wolf, D. H., Kazinka, R., Lee, S., Ruparel, K., Elliott, M. A., Xu, A., Cieslak, M., Prettyman, G., Satterthwaite, T. D., & Kable, J. W. (2022). Decision value signals in the ventromedial prefrontal cortex and motivational and hedonic symptoms across mood and psychotic disorders. NeuroImage. Clinical, 36, 103227. https://doi.org/10.1016/j.nicl.2022.103227

Project Title: Investigating the neural correlates of non-optic sight in blindness using fMRI

Dr. Breedlove's research focuses on non-optic sight in blindness, a phenomenon where blind individuals have visual sensations of their environment triggered by other sensory modalities such as sound or touch. Her work will use fMRI to capture the neural correlates of non-optic sight — specifically investigating how these brain signals are distributed across cortical layers and how they might encode visual features of observed objects.

Publications:

Jan. 2022

Allen, E. J., St-Yves, G., Wu, Y., Breedlove, J. L., Prince, J. S., Dowdle, L. T., Nau, M., Caron, B., Pestilli, F., Charest, I., Hutchinson, J. B., Naselaris, T., & Kay, K. (2022). A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature neuroscience, 25(1), 116–126. https://doi.org/10.1038/s41593-021-00962-x