Seminar of Interest
September 21, 2012
12:00 PM - 1:00 PM
Nan-kuei Chen, Ph.D. Brain Imaging and Analysis Center Duke University Medical Center Mapping the neuronal connectivity networks with high-resolution MRI Intrinsic functional connectivity refers to the spatiotemporal coherence of spontaneous, low-frequency (<0.10 Hz) fluctuations in the blood-oxygen level dependent (BOLD) signal measured by functional magnetic resonance imaging (fMRI). Previous research suggest that separable networks of intrinsic functional connectivity can be reliably identified even in the resting state, that is, in the absence of an assigned cognitive or behavioral task. Converging evidence from diffusion tensor imaging (DTI) suggests further that intrinsic functional connectivity is constrained by anatomical connectivity, as reflected in the integrity of white matter pathways associated with individual intrinsic connectivity network (ICN). ICN mapping is promising as a neural biomarker that will be valuable in translational contexts for understanding both healthy development and disease progression. A critical barrier to progress in research on ICN mapping, however, is the limited spatial resolution of current methods for measuring functional connectivity. In addition, little is known regarding the relation of ICN to phenotypic signatures of neurological diseases. In this talk I will discuss a series of recently developed fMRI and DTI methods for ICN mapping at significantly improved spatial resolution, quality, and accuracy. I will also discuss analysis algorithms to characterize ICNs that are commonly or dissociably correlated with different phenotypic signatures of neurological impairment.
Date posted
Aug 13, 2018
Date updated
Aug 13, 2018