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Statistical parametric maps in functional imaging: A general linear approach
Statistical parametric maps are spatially extended statistical processes that are used to test hypotheses about regionally specific effects in neuroimaging data. The most established sorts ofExpand
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Voxel-Based Morphometry—The Methods
At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforwardExpand
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A unified statistical approach for determining significant signals in images of cerebral activation
We present a unified statistical theory for assessing the significance of apparent signal observed in noisy difference images. The results are usable in a wide range of applications, including fMRI,Expand
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Dynamic causal modelling
TLDR
In this paper we present an approach to the identification of nonlinear input-state-output systems for effective connectivity using experimentally designed inputs and fMRI responses. Expand
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A theory of cortical responses
  • Karl J. Friston
  • Computer Science, Medicine
  • Philosophical Transactions of the Royal Society B…
  • 29 April 2005
This article concerns the nature of evoked brain responses and the principles underlying their generation. We start with the premise that the sensory brain has evolved to represent or infer theExpand
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Psychophysiological and Modulatory Interactions in Neuroimaging
In this paper we introduce the idea of explaining responses, in one cortical area, in terms of an interaction between the influence of another area and some experimental (sensory or task-related)Expand
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Unified segmentation
TLDR
A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. Expand
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Assessing the significance of focal activations using their spatial extent
Current approaches to detecting significantly activated regions of cerebral tissue use statistical parametric maps, which are thresholded to render the probability of one or more activated regions ofExpand
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Spatial registration and normalization of images
This paper concerns the spatial and intensity transformations that map one image onto another. We present a general technique that facilitates nonlinear spatial (stereotactic) normalization and imageExpand
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Analysis of fMRI Time-Series Revisited
This paper presents a general approach to the analysis of functional MRI time-series from one or more subjects. The approach is predicated on an extension of the general linear model that allows forExpand
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