The following students were awarded IBACS Brain Research Assistantships in Neuroimaging (IBRAiN) for the 2017-2018 academic year. IBRAiN fellows help BIRC users design and implement experimental procedures for fMRI, EEG, tDCS, TMS and other methodologies, assist in recruitment and prepping of participants, provide resources for data analysis, and oversee use of equipment by others. Click here for more information about this program.


Charles Davis
Research Interests: The brain activates and represents meaning in complex ways. At a cognitive level, we deal with meaning using concepts which help to guide action and predict outcomes over a wide range of contexts. My research uses fMRI to examine the functional and structural connectivity underlying concept networks, representationally and as they develop in learning, as well as electrophysiology to examine activation dynamics.
Monica Li Monica Li
Research Interests: I am interested in the cognitive and neural mechanisms underlying spoken word recognition, particularly regarding how top-down (e.g., attention, context) and bottom-up (e.g., speech signal, noise) information interact to determine speech perception. I would like to utilize simultaneous fMRI and EEG to tap into the feedback and feedforward mechanisms in speech. I’m experienced with collecting and analyzing fMRI data with various experimental designs and analysis approaches (e.g., ANOVA, functional connectivity, correlation analysis, ROI, DTI). I’m honored to be part of the IBRAIN training program to advance my neuroimaging skills and to assist IBACS in providing the technical, intellectual, and educational support to the UConn research community.
Monica Ly

In collaboration with the BrainScope study, I aim to conjoin rs-MRI and DTI results to develop a machine learning algorithm to classify mild traumatic brain injury from no injury; this algorithm will distinguish recently concussed athletes from matched controls.

Tim Michaels Tim Michaels
Research Interests: My research utilizes a variety of neuroimaging methods, including fMRI, resting state connectivity (rsfMRI), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (MRS), to examine the neural correlates of perceptual abnormalities and cognitive deficits in patients with schizophrenia. Specifically, I am interested in understanding the neurodevelopmental mechanisms by which pathophysiology in the hippocampus and prefrontal cortex confer increased risk for psychosis during adolescence/early adulthood. Through such approaches, my research aims to identify promising new targets for disease prevention and treatment.
Yanina Prystauka
Research Interests: My research looks at how episodic and semantic memory systems interact during sentence comprehension. Specifically, I am interested in the neural underpinnings of representing object tokens in their different states. The use of simultaneous EEG + fMRI recording will allow me to track the time course of instantiating, maintaining and retrieving the representations of object token-states as the sentence unfolds, as well as identify neural pathways supporting the above mentioned processes.
Kayleigh Ryherd Kayleigh Ryherd
Research Interests: I primarily study poor comprehenders, individuals who have poor reading comprehension despite intact decoding ability. In the past, I’ve used fMRI to determine that poor comprehenders show atypical activation across modalities and processing levels. My current research interest involves using fMRI to determine what may be contributing to the deficit in concept and category learning that I’ve observed in this population.