… Human Development grant HD22614 and National Institute of Aging grant AG08313 to Marta
Kutas and a University of California, San Diego Faculty Fellows fellowship to David Groppe…

Analyses of intrinsic fMRI BOLD signal fluctuations reliably reveal correlated and anticorrelated
functional networks in the brain. Because the BOLD signal is an indirect measure of …

Independent component analysis (ICA) is a family of unsupervised learning algorithms that
have proven useful for the analysis of the electroencephalogram (EEG) and …

… Human Development grant HD22614 and National Institute of Aging grant AG08313 to Marta
Kutas and a University of California, San Diego Faculty Fellows fellowship to David Groppe…

The brain's spontaneous, intrinsic activity is increasingly being shown to reveal brain
function, delineate large scale brain networks, and diagnose brain disorders. One of the most …

Background Intracranial electrical recordings (iEEG) and brain stimulation (iEBS) are
invaluable human neuroscience methodologies. However, the value of such data is often …

In 2005, DeLong, Urbach, and Kutas took advantage of the a/an English indefinite article
phonological alternation and the sensitivities of the N400 ERP component to show that readers …

Despite growing evidence of young adults neurally pre-activating word features during sentence
comprehension, less clear is the degree to which this generalizes to older adults. Using …

In recent years, functional neuroimaging has disclosed a network of cortical areas in the
basal temporal lobe that selectively respond to visual scenes, including the parahippocampal …

… Groppe b , Mark A. Kramer c , Catherine J. Chu d e , Sabato Santaniello a , Christian Meisel
f , … AD Mehta and DM Groppe are supported by the Page and Otto Marx Jr. Foundation. S. …