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Related publications (29)

Connectivity Searchlight: A Novel Approach For Mri Information Mapping Using Multivariate Connectivity

Dimitri Nestor Alice Van De Ville, Jonas Richiardi, Soheil Faridi

Brain mapping using magnetic resonance imaging (MRI) is traditionally performed using voxel-wise statistical hypothesis testing. Such mass-univariate approach ignores subtle spatial interactions. The searchlight method, in contrast, uses a multivariate pre ...

Ieee2013

Brain decoding: Opportunities and challenges for pattern recognition

Dimitri Nestor Alice Van De Ville

The neuroimaging community heavily relies on statistical inference to explain measured brain activity given the experimental paradigm. Undeniably, this method has led to many results, but it is limited by the richness of the generative models that are depl ...

Elsevier2012

Methods for Determining Frequency- and Region-Dependent Relationships Between Estimated LFPs and BOLD Responses in Humans

Jean-Philippe Thiran, Roberto Martuzzi

The relationship between electrophysiological and functional magnetic resonance imaging (fMRI) signals remains poorly understood. To date, studies have required invasive methods and have been limited to single functional regions and thus cannot account for ...

2009

Non-retinotopic feature integration decreases response-locked brain activity as revealed by electrical neuroimaging

Michael Herzog, Olaf Blanke, Gijs Plomp, Thomas Otto, Manuel Mercier

When presented with dynamic scenes, the brain integrates visual elements across space and time. Such non-retinotopic processing has been intensively studied from a psychophysical point of view, but little is known about the underlying neural processes. Her ...

Elsevier2009

Toward a Mechanistic Understanding of Human Decision Making

This article considers the contribution of functional neuroimaging toward understanding the computational underpinnings of human decision making. We outline the main processes likely underlying the capacity to make simple choices and describe their associa ...

2008

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Michaël Unser, Dimitri Nestor Alice Van De Ville

Model-based statistical analysis of functional magnetic resonance imaging (fMRI) data relies on the general linear model and statistical hypothesis testing. Due to the large number of intracranial voxels, it is important to deal with the multiple compariso ...

IEEE2008

Quantitative proton spectroscopic imaging of the neurochemical profile in rat brain with microliter resolution at ultra-short echo times

Rolf Gruetter, Giulio Gambarota

Proton spectroscopy allows the simultaneous quantification of a high number of metabolite concentrations termed the neurochemical profile. The spin echo full intensity acquired localization (SPECIAL) scheme with an echo time of 2.7 ms was used at 9.4T for ...

Wiley-Blackwell2008

A coherent neurobiological framework for functional neuroimaging provided by a model integrating compartmentalized energy metabolism

Pierre Magistretti, Luc Pellerin

Functional neuroimaging has undergone spectacular developments in recent years. Paradoxically, its neurobiological bases have remained elusive, resulting in an intense debate around the cellular mechanisms taking place upon activation that could contribute ...

National Academy of Sciences2007

Determining Significant Connectivity by 4D Spatiotemporal Wavelet Packet Resampling of Functional Neuroimaging Data

Dimitri Nestor Alice Van De Ville

An active area of neuroimaging research involves examining functional relationships between spatially remote brain regions. When determining whether two brain regions exhibit significant correlation due to true functional connectivity, one must account for ...

Elsevier2006

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