The quantitative analysis of pooled data from related functional magnetic resonance imaging (fMRI) experiments has the potential to significantly accelerate progress in brain mapping. Such data-pooling can be achieved through meta-analysis (the pooled analysis of published results), mega-analysis (the pooled analysis of raw data) or multi-site studies, which can be seen as designed mega-analyse...

Reconstruction of the human cerebral cortex from MR images is a fundamental step in human brain mapping and in applications such as surgical path planning. In a previous paper, we described a method for obtaining a surface representation of the central layer of the human cerebral cortex using fuzzy segmentation and a deformable surface model. This method, however, suffers from several problems....

http://jnnp.bmj.com/content/72/4/432.full.html Updated information and services can be found at: These include: References http://jnnp.bmj.com/content/72/4/432.full.html#ref-list-1 This article cites 121 articles, 53 of which can be accessed free at: service Email alerting the top right corner of the online article. Receive free email alerts when new articles cite this article. Sign up in the b...

Typical problems in the analysis of data sets like time-series or images crucially rely on the extraction of primitive features based on segmentation. Variational approaches are a popular and convenient framework in which such problems can be studied. We focus on Potts models as simple nontrivial instances. The discussion proceeds along two data sets from brain mapping and functional genomics.

Pre-operative determination of the dominant hemisphere for speech and speech associated sensory and motor regions has been of great interest for the neurological surgeons. This dilemma has been of at most importance, but difficult to achieve, requiring either invasive (Wada test) or non-invasive methods (Brain Mapping). In the present study we have employed functional Magnetic Resonance Imaging...

We propose a novel Dynamic Recursive Partitioning approach for discovering discriminative patterns of functional MRI activation. The goal is to efficiently identify spatial regions that are associated with non-spatial variables through adaptive recursive partitioning of the 3D space into a number of hyperrectangles utilizing statistical tests. As a case study, we analyze fMRI datasets obtained ...

Highlights: • Neurosurgical decision-making critically revolves around current and potential Quality of Life. • Greater understanding of key functional systems in the brain, and their adaptive potential, dramatically increases the relevance of brain mapping techniques to optimise individual patient outcomes. • fMRI allows mapping of key functional regions and related networks that can assist th...

We construct shape spaces of elastic spherical surfaces immersed in Euclidean space R. The spaces are equipped with geodesic metrics that depend on the tension and rigidity of the surfaces. We develop algorithms to calculate geodesics and geodesic distances, as well as tools to quantify local shape similarities and contrasts, thus obtaining a local-global formulation. We give examples of geodes...

Peraza LR, Kaiser M, Firbank M, Graziadio S, O'Brien J, Taylor J-P. Resting state fMRI brain network connectivity in dementia with Lewy bodies and Alzheimer's disease. In: 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2014). 2014, Hamburg, Germany: Organization for Human Brain Mapping. Copyright: © The Authors Poster presented at the 20 Annual Meeting of the Organization...

BACKGROUND AND PURPOSE Quantitative susceptibility mapping of the human brain has demonstrated strong potential in examining iron deposition, which may help in investigating possible brain pathology. This study assesses the reproducibility of quantitative susceptibility mapping across different imaging sites. MATERIALS AND METHODS In this study, the susceptibility values of 5 regions of inter...