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In order to determine if there are any biomarkers that might help explain why some patients with unilateral temporal lobe epilepsy do well after surgery and some do not, researchers used MRIs to investigate patients and healthy controls. Their analysis revealed a seizure propagation network that suggests a consistent connectivity pattern among patients who remain seizure free for a prolonged period. The seizure free connectivity model was able to differentiate between patients with poor outcomes and those who fared well (P= .0005).
Morgan VL, Englot DJ, Rogers BP, et al. Magnetic resonance imaging connectivity for the prediction of seizure outcome in temporal lobe epilepsy [published online April 27, 2017]. Epilepsia. doi:10.1111/epi.13762.
In order to determine if there are any biomarkers that might help explain why some patients with unilateral temporal lobe epilepsy do well after surgery and some do not, researchers used MRIs to investigate patients and healthy controls. Their analysis revealed a seizure propagation network that suggests a consistent connectivity pattern among patients who remain seizure free for a prolonged period. The seizure free connectivity model was able to differentiate between patients with poor outcomes and those who fared well (P= .0005).
Morgan VL, Englot DJ, Rogers BP, et al. Magnetic resonance imaging connectivity for the prediction of seizure outcome in temporal lobe epilepsy [published online April 27, 2017]. Epilepsia. doi:10.1111/epi.13762.
In order to determine if there are any biomarkers that might help explain why some patients with unilateral temporal lobe epilepsy do well after surgery and some do not, researchers used MRIs to investigate patients and healthy controls. Their analysis revealed a seizure propagation network that suggests a consistent connectivity pattern among patients who remain seizure free for a prolonged period. The seizure free connectivity model was able to differentiate between patients with poor outcomes and those who fared well (P= .0005).
Morgan VL, Englot DJ, Rogers BP, et al. Magnetic resonance imaging connectivity for the prediction of seizure outcome in temporal lobe epilepsy [published online April 27, 2017]. Epilepsia. doi:10.1111/epi.13762.