Abstract

This review focuses on the use of resting-state functional magnetic resonance imaging data to assess functional connectivity in the human brain and its application in intractable epilepsy. This approach has the potential to predict outcomes for a given surgical procedure based on the pre-surgical functional organization of the brain. Functional connectivity can also identify cortical regions that are organized differently in epilepsy patients either as a direct function of the disease or through indirect compensatory responses. Functional connectivity mapping may help identify epileptogenic tissue, whether this is a single focal location or a network of seizure-generating tissues. This review covers the basics of connectivity analysis and discusses particular issues associated with analyzing such data. These issues include how to define nodes, as well as differences between connectivity analyses of individual nodes, groups of nodes, and whole-brain assessment at the voxel level. The need for arbitrary thresholds in some connectivity analyses is discussed and a solution to this problem is reviewed. Overall, functional connectivity analysis is becoming an important tool for assessing functional brain organization in epilepsy.

Highlights

  • Functional connectivity in human neuroscience refers to the synchrony of activity in anatomically distinct regions of the brain: if two areas are highly correlated in their activity over time, they are considered functionally connected

  • Resting-state functional connectivity as measured by blood oxygenation level dependent (BOLD) fMRI reflects intrinsic connections in the brain, providing insight into how the brain is wired and how such wiring may be altered in disease or through surgical intervention

  • Like task-based fMRI, functional connectivity measures can be altered by task, drug or brain state, but unlike task-based fMRI, which reflects small changes in activity superimposed upon a very high

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