Epilepsy is a devastating illness affecting 3 million Americans. Unfortunately, we currently have only a rudimentary understanding of the intertwined issues of how to define the cortical areas which generate seizures and how those seizures start and spread. Based on preliminary data we posit that within the seizure onset zone epileptiform activity arises from deep cortical layers and then spreads via cortico-cortical connections to superficial layers. There is, consequently, a discernable physiological signature of the seizure focus and events leading to seizure initiation and propagation. We will test this hypothesis by recording synaptic activity, intrinsic currents, and action potential firing from all layers of human cortex during and between seizures using unique microelectrode arrays. Specifically, we aim to: 1. Demonstrate that the intracolumnar dynamics of interictal discharges depend on the location of that column in the epileptogenic network. We hypothesize that interictal discharges in the epileptogenic focus are generated by current sinks and increased neuronal firing in deep cortical layers, whereas propagated epileptiform discharges will show initial sinks and activation in middle and upper cortical layers. Such results are consistent with epileptiform activity arising from recurrent excitatory activity in deep cortical layers augmented by rebound intrinsic currents and delineate a microphysiological signature of ictogenic cortex. 2. Determine the role of different cortical layers and neuronal firing during seizure initiation. We expect that action potential firing in deep cortical layers within the seizure focus precedes overt seizure initiation. Further, we expect that these same layers are the site of current sinks during discharges that occur at seizure initiation. These features further define the seizure focus, shed light on how seizures start, and may provide a novel method for seizure prediction. 3. Examine the role of neuronal group dynamics during seizure spread. Finally, we hypothesize that from the focus, seizures spread by direct recruitment via projections to upper cortical layers. Further, for certain regions there will be increased involvement of deeper cortical layers as the seizure progresses correlated with an ability of that region to independently generate epileptiform discharges. Consistent with this evolution from direct recruitment to multi-focal autonomous event generation, analysis of functional coupling between cortical regions will show progression from tight to loose association. This description may further differentiate the seizure focus and suggest new strategies for interrupting seizure propagation.
These aims address essential aspects of the neurophysiology of human seizures at an unprecedented level of detail and breadth. The results will lead to a clear mechanistic understanding of what constitutes the seizure focus in humans. This can lead to increased effectiveness of surgical management of medically refractory epilepsy, as well as innovative approaches to seizure prediction, detection and termination.

Public Health Relevance

Epilepsy remains a devastating and poorly understood illness. The experiments proposed in this project utilize novel techniques to record detailed neuronal activity directly from human cortex before and during seizures. We hope to use these techniques to better appreciate the differences between cortical tissue that will and will not generate seizures and what happens in those different areas as seizures start and spread. The information obtained will allow us to understand the neuronal dynamics underlying epilepsy at an unprecedented level of resolution. This will foster the development of new approaches to seizure prediction, detection and termination as well as more effective surgical management of medically refractory focal epilepsy.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS062092-03
Application #
8240903
Study Section
Acute Neural Injury and Epilepsy Study Section (ANIE)
Program Officer
Fureman, Brandy E
Project Start
2010-04-01
Project End
2015-03-31
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
3
Fiscal Year
2012
Total Cost
$424,595
Indirect Cost
$179,595
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Lewis, Laura D; Piantoni, Giovanni; Peterfreund, Robert A et al. (2018) A transient cortical state with sleep-like sensory responses precedes emergence from general anesthesia in humans. Elife 7:
Naftulin, Jason S; Ahmed, Omar J; Piantoni, Giovanni et al. (2018) Ictal and preictal power changes outside of the seizure focus correlate with seizure generalization. Epilepsia 59:1398-1409
Halgren, Milan; Fabó, Daniel; Ulbert, István et al. (2018) Superficial Slow Rhythms Integrate Cortical Processing in Humans. Sci Rep 8:2055
Lam, Alice D; Maus, Douglas; Zafar, Sahar F et al. (2017) SCOPE-mTL: A non-invasive tool for identifying and lateralizing mesial temporal lobe seizures prior to scalp EEG ictal onset. Clin Neurophysiol 128:1647-1655
Sinha, Nishant; Dauwels, Justin; Kaiser, Marcus et al. (2017) Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling. Brain 140:319-332
Tele?czuk, Bartosz; Dehghani, Nima; Le Van Quyen, Michel et al. (2017) Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex. Sci Rep 7:40211
Sarma, Anish A; Crocker, Britni; Cash, Sydney S et al. (2016) A modular, closed-loop platform for intracranial stimulation in people with neurological disorders. Conf Proc IEEE Eng Med Biol Soc 2016:3139-3142
Jing, J; Dauwels, J; Rakthanmanon, T et al. (2016) Rapid annotation of interictal epileptiform discharges via template matching under Dynamic Time Warping. J Neurosci Methods 274:179-190
Dehghani, Nima; Peyrache, Adrien; Telenczuk, Bartosz et al. (2016) Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex. Sci Rep 6:23176
Aghagolzadeh, Mehdi; Hochberg, Leigh R; Cash, Sydney S et al. (2016) Predicting seizures from local field potentials recorded via intracortical microelectrode arrays. Conf Proc IEEE Eng Med Biol Soc 2016:6353-6356

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