This paper introduces a statistical approach for high-level spatial analysis when there is little prior information about the shape or location of the region of interest in the underlying image and limited spatial resolution of the available data. Our work was motivated by a functional brain mapping technique called direct cortical electrical interference (DCEI) that gives binary observations a...

Neuroscientists have long observed that brain activity is naturally variable from moment-to-moment, but neuroimaging research has largely ignored the potential importance of this phenomenon. An emerging research focus on within-person brain signal variability is providing novel insights, and offering highly predictive, complementary, and even orthogonal views of brain function in relation to hu...

A widely held assumption is that spontaneous and task-evoked brain activity sum linearly, such that the recorded brain response in each single trial is the algebraic sum of the constantly changing ongoing activity and the stereotypical evoked activity. Using functional magnetic resonance imaging signals acquired from normal humans, we show that this assumption is invalid. Across widespread cort...

In this paper we propose a method to create data-driven mappings from components of cognitive models to brain regions. Cognitive models are notoriously hard to evaluate, especially based on behavioral measures alone. Neuroimaging data can provide additional constraints, but this requires a mapping from model components to brain regions. Although such mappings can be based on the experience of t...

Let us take two groups of, say, 310 people each, drawn from the same population. Now let usdraw two large circles. Withineachcircle, let usdraw31 equallyspacedsmallercir-cles, sothat,foreachsmallcircleinonelargecircle, thereisan equivalently situated small circle in the other large circle. Now we instruct the 31 0 people to form self-assorted sub-groupsof lopeopleeach, andoccupyoneofthesmallcir...

Brain-mapping techniques have proven to be vital in understanding the molecular, cellular, and functional mechanisms of the brain. Normal anatomical imaging can provide structural information on certain abnormalities in the brain. However there are many neurological disorders for which only structure studies are not sufficient. In such cases it is required to investigate the functional organiza...

High-resolution functional magnetic resonance imaging (hi-res fMRI) promises to help bridge the gap between the macro- and the microview of brain function afforded by conventional neuroimaging and invasive cell recording, respectively. Hi-res fMRI (voxel volume<or=(2 mm)3 is robustly achievable in human studies today using widely available clinical 3-Tesla scanners. However, the neuroscientific...

In this paper we present a coarse-tone approach for the transformation of digital anatomical textbooks from the ideal to the individual that uni es the work on landmark deformations and volume based transformation. The Hierarchical approach is linked to the Biological problem itself, coming out of the various kinds of information which is provided by the anatomists. This information is in the f...

Publisher's copyright statement: This is the accepted version of the following article: Lane, A. R., Ball, K., Smith, D. T., Schenk, T. and Ellison, A. (2013), Near and far space: Understanding the neural mechanisms of spatial attention. Human Brain Mapping, 34(2): 356 366, which has been published in nal form at http://dx.doi.org/10.1002/hbm.21433. This article may be used for non-commercial p...