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Resting-State fMRI in Evaluation of Epilepsy - AJNR News Digest
January-February 2017
Introduction
Figure 2 from Bharath

Resting-State fMRI in Evaluation of Epilepsy

Chow pic

Daniel Chow

Approximately 4.3 million (1.8%) adults and 750,000 (1.0%) children in the United States have been diagnosed with epilepsy or other seizure disorders; approximately one-third have seizures refractory to medical therapies.1,2 MRI is essential for the assessment of these patients with medically refractory epilepsy, as it allows identification of structural abnormalities which, when resected, may lead to seizure freedom. Task-based functional MRI (fMRI) has been shown to aid structural MRI in the evaluation of epilepsy by determining the relationship between epileptogenic lesions and the normal brain. It is being used more frequently in the presurgical evaluation of these patients, including the localization of motor and language function. Recently, several studies have used resting-state functional MRI (rs-fMRI) to describe cortical network alterations in patients with epilepsy.

Briefly, blood oxygen level–dependent (BOLD) fMRI detects neural activity by imaging changes in local oxygen metabolism in the brain. fMRI contrast relies on the different magnetic properties between diamagnetic oxygenated (HbO) and paramagnetic deoxygenated hemoglobin (HbR). During task-based fMRI, neural activity in the parts of the brain involved in performing the task causes a localized increase in oxygen consumption. However, cerebral blood flow increases within seconds, creating a surplus of HbO in these same regions. This results in an overall decrease in regional HbR concentration, a decrease in susceptibility effects, and an increase in the measured T2* BOLD signal.

Conversely, rs-fMRI evaluates the brain in the absence of a stimulus (or at rest) and studies synchronous fluctuations in the BOLD response between areas of the brain that are spatially separated to identify resting-state networks (RSNs). Conceptually, these spontaneous but synchronous fluctuations in the BOLD signal are thought to reflect the underlying functional architecture of the brain; collections of regions with correlated spontaneous BOLD fluctuations represent networks of anatomically distinct areas that nevertheless work together to perform a common function. These RSNs were described in positron-emission tomography and electroencephalography studies in the 1980s. In 1995, Biswal et al3 were the first to use resting-state fMRI to describe functional connectivity between the sensorimotor cortex of the two cerebral hemispheres. The best described RSN is the default mode network (DMN), which comprises multiple regions—or “nodes”—within the posterior cingulate cortex, as well as the medial temporal and medial prefrontal lobes.4 Aberrations in connectivity strength across the DMN have since been implicated in multiple mental disorders, including schizophrenia, Alzheimer disease, and depression.4

This AJNR News Digest highlights five rs-fMRI studies in patients with epilepsy that contribute to our understanding of the pathogenesis of seizure disorders and show the potential for monitoring and observing injuries in these patients.

In 2011, Pravatà et al5 studied language network reorganization in 22 patients with drug-resistant epilepsy and observed a reduction within the language network in patients with both left- and right-sided epileptogenic foci, confirming both local and distant network effects. In children, Widjaja et al6 observed a reduction in DMN connectivity in patients with medically refractory epilepsy. Ji et al7 used rs-fMRI to identify corticothalamic networks involved in patients with idiopathic generalized epilepsy (IGE). Rather than diffuse involvement, these authors observed specific epicenters of abnormal functional connectivity strength in several corticothalamic networks, refining our understanding of the potential pathogenesis supporting the corticothalamic network theory of epilepsy. Su et al8 assessed 21 patients with right hippocampal sclerosis and medial temporal lobe epilepsy and observed reduced connectivity on the ipsilateral hemisphere, with strengthening of the connections on the contralateral left hemisphere. These findings suggest that medial temporal lobe epilepsy is a network disease, and the bidirectional findings may reflect a combination of seizure-related injury and compensatory mechanisms. Bharath et al9 evaluated 36 patients with hot-water epilepsy and observed multiple connectivity changes in a cohort of patients with frequent seizures, including reduced connectivity of the DMN, as well as recruitment of several temporal regions known to be seizure-prone. Together, these studies suggest a role for rs-fMRI in distinguishing between different subgroups of patients with epilepsy and perhaps as an indicator of disease severity/progression.

In summary, this digest serves as a brief explanation of resting-state fMRI and its potential role in understanding and monitoring patients with epilepsy. These papers demonstrate some of the ways in which rs-fMRI can detect altered connectivity in patients with epilepsy, possibly representing a marker of seizure-related changes. Better understanding of these changes in connectivity will likely continue to help in understanding the pathophysiology behind epilepsy, diagnosing different subtypes, assessing prognosis, and monitoring treatment.

References

  1. Russ SA, Larson K, Halfon N. A national profile of childhood epilepsy and seizure disorder. Pediatrics 2012;129:256–64, 10.1542/peds.2010-1371
  2. Institute of Medicine. Epilepsy Across the Spectrum: Promoting Health and Understanding. Washington, D.C.: The National Academies Press; 2012
  3. Biswal B, Yetkin FZ, Haughton VM, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 1995;34:537–41, 10.1002/mrm.1910340409
  4. Buckner RL, Andrews-Hanna JR, Schacter DL. The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci 2008;1124:1–38, 10.1196/annals.1440.011
  5. Pravatà E, Sestieri C, Mantini D, et al. Functional connectivity MR imaging of the language network in patients with drug-resistant epilepsy. AJNR Am J Neuroradiol 2011;32:532–40, 10.3174/ajnr.A2311
  6. Widjaja E, Zamyadi M, Raybaud C, et al. Abnormal functional network connectivity among resting-state networks in children with frontal lobe epilepsy. AJNR Am J Neuroradiol 2013;34:552–57, 10.3174/ajnr.A3608
  7. Ji G-J, Zhang Z, Xu Q, et al. Identifying corticothalamic network epicenters in patients with idiopathic generalized epilepsy. AJNR Am J Neuroradiol 2015;36:1494–1500, 10.3174/ajnr.A4308
  8. Su L, An J, Ma Q, et al. Influence of resting-state network on lateralization of functional connectivity in mesial temporal lobe epilepsy. AJNR Am J Neuroradiol 2015;36:1479–87, 10.3174/ajnr.A4346
  9. Bharath RD, Sinha S, Panda R, et al. Seizure frequency can alter brain connectivity: evidence from resting-state fMRI. AJNR Am J Neuroradiol 2015;36:1890–98, 10.3174/ajnr.A4373

Image from: Bharath RD, Sinha S, Panda R, et al. Seizure frequency can alter brain connectivity: evidence from resting-state fMRI.