Our research involves advancing fMRI and MRI acquisition and processing methods and using these methods to better understand human brain dynamics, physiology, and functional organization as well as how they vary across groups and individuals. Specifically, we are developing and refining methodology along two primary avenues: ultra-high resolution fMRI and dynamic functional signal assessment. Projects associated with these avenues include layer fMRI studies, dynamic time series assessment for cognition, real time fMRI and neuro feedback, separation of physiologic noise from neural signal, multi-echo acquisition and processing, naturalistic stimuli, and machine learning approaches for individual classification. More details: https://fim.nimh.nih.gov/positions-available

In this talk I outline the technical challenges and current solutions to layer fMRI. Specifically, I describe our acquisition strategies for maximizing resolution, spatial coverage, time efficiency as well as, perhaps most importantly, vascular specificity. Novel applications from our group, including mapping feedforward and feedback connections to M1 during task and sensory input modulation and S1 during a sensory prediction task are be shown. Layer specific activity in dorsal lateral prefrontal cortex during a working memory task is also demonstrated. Additionally, I’ll show preliminary work on mapping whole brain layer-specific resting state connectivity and hierarchy.