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Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics
There is a growing appreciation of the importance of nonlinearities in evoked responses in fMRI, particularly with the advent of event-related fMRI. These nonlinearities are commonly expressed asExpand
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Comparing dynamic causal models
We show how Bayes factors can be used to guide choices about model structure, both concerning the intrinsic connectivity pattern and the contextual modulation of individual connections. Expand
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Voxel-based morphometry of the human brain: Methods and applications
In recent years, a whole-brain unbiased objective technique, known as voxel-based morphometry (VBM), has been developed to characterise brain differences in vivo using structural magnetic resonanceExpand
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Structural Covariance in the Human Cortex
The morphology of the human cortex varies remarkably across individuals, regardless of overall brain size. It is currently unclear whether related cortical regions covary in gray matter density, as aExpand
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Neurolinguistics: Structural plasticity in the bilingual brain
Humans have a unique ability to learn more than one language — a skill that is thought to be mediated by functional (rather than structural) plastic changes in the brain. Here we show that learning aExpand
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Anterior temporal cortex and semantic memory: Reconciling findings from neuropsychology and functional imaging
Studies of semantic impairment arising from brain disease suggest that the anterior temporal lobes are critical for semantic abilities in humans; yet activation of these regions is rarely reported inExpand
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Dysconnectivity in schizophrenia: Where are we now?
The disconnection hypothesis suggests that the core symptoms of schizophrenia (SZ) are related to aberrant, or 'dys-', connectivity between distinct brain regions. A proliferation of functional andExpand
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The hubs of the human connectome are generally implicated in the anatomy of brain disorders
See Sporns (doi:10.1093/brain/awu148) for a scientific commentary on this article. Brain networks contain a minority of highly connected hub nodes with high topological value and biological cost.Expand
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Modelling functional integration: a comparison of structural equation and dynamic causal models
We review two different approaches to modelling effective connectivity from fMRI data, structural equation models (SEMs) and dynamic causal models (DCMs). Expand
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Dissociating Reading Processes on the Basis of Neuronal Interactions
We compared pseudo words to exception words and explored how neuronal interactions within the reading system are influenced by word type. Expand
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