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Journal ArticleDOI

Identifying the structures involved in seizure generation using sequential analysis of ictal-fMRI data.

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TLDR
Sequential analysis of ictal-fMRI data may be useful to precisely and non-invasively delineate the ictsal onset zone within the brain; and provide insights into the cerebral substrates involved in the generation and propagation of seizures.
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This article is published in NeuroImage.The article was published on 2009-08-01. It has received 46 citations till now. The article focuses on the topics: Ictal & Ictal-Interictal SPECT Analysis by SPM.

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Citations
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Journal ArticleDOI

Electrophysiological correlates of the BOLD signal for EEG-informed fMRI

TL;DR: The advantages of, and need for, simultaneous intracranial EEG–fMRI studies in humans, which recently became available and hold great potential to improve the understanding of the electrophysiological correlates of BOLD fluctuations.
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Cycles in epilepsy.

TL;DR: In this paper, the authors discuss the potential clinical applications of a knowledge of epileptic brain activity that operate over diverse timescales: daily (circadian), multi-day (multidien) and yearly (circannual).
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Current themes in neuroimaging of epilepsy: Brain networks, dynamic phenomena, and clinical relevance

TL;DR: Current neuroimaging studies in epilepsy reflect new concepts in the epilepsies, as well as current methodological developments, emphasising the role of networks in epileptogenicity, and the existence of dynamic phenomena which can be captured by imaging.
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Dynamic Causal Modelling of epileptic seizure propagation pathways: a combined EEG-fMRI study.

TL;DR: Dynamic Causal Modelling was employed to estimate the seizure propagation pathway from fMRI data recorded in a HH patient by testing a set of clinically plausible network connectivity models of discharge propagation, demonstrating the applicability of DCM to investigate patient-specific effective connectivity in epileptic networks identified with EEG–fMRI.
References
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Journal ArticleDOI

A default mode of brain function.

TL;DR: A baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF is identified, suggesting the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
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Functional connectivity in the resting brain: A network analysis of the default mode hypothesis

TL;DR: This study constitutes, to the knowledge, the first resting-state connectivity analysis of the default mode and provides the most compelling evidence to date for the existence of a cohesive default mode network.
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Analysis of fMRI Time-Series Revisited

TL;DR: The approach is predicated on an extension of the general linear model that allows for correlations between error terms due to physiological noise or correlations that ensue after temporal smoothing, and uses the effective degrees of freedom associated with the error term.
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Presurgical evaluation of epilepsy.

TL;DR: The current diagnostic techniques used in the definition of these cortical zones, such as video-EEG monitoring, MRI and ictal single photon emission computed tomography, are discussed and possible future developments that might lead to a more direct definition of the epileptogenic zone are presented.
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Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis

TL;DR: The findings presented here suggest that the brain recurrently toggles between an introspectively oriented mode (default mode) and a state‐of‐mind that tentatively might be interpreted as an extrospectivelyoriented mode that involves a readiness and alertness to changes in the external and internal environment.
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