Publications by authors named "Jaishree T Narayanan"
A seizure prediction algorithm is proposed that combines novel multivariate EEG features with patient-specific machine learning. The algorithm computes the eigenspectra of space-delay correlation and covariance matrices from 15-s blocks of EEG data at multiple delay scales. The principal components of these features are used to classify the patient's preictal or interictal state.
View Article and Find Full Text PDFBackground: Routine EEGs in individuals with epilepsy have interictal spikes in 56% of cases. The availability of prolonged EEG has changed the use of EEG in the assessment of epilepsy.
Objective: To determine the time to first epileptiform activity on EEG in patients with epilepsy.
Objective: New-onset acute symptomatic seizures can be the presenting feature of acute neurological diseases. The etiological spectrum of new-onset acute symptomatic seizures and outcome may be different in developing countries when compared to developed countries.
Aim: To study the clinical profile of new-onset acute symptomatic seizures as the first presenting event in patients with acute neurological illness in a neurological intensive care unit (NICU) in a developing country.
Purpose: Nonconvulsive status epilepticus (NCSE) is an under-recognized cause of altered mental status. There are hardly any reported data on NCSE in developing countries.
Material And Methods: Prospectively 210 consecutive patients with altered mental status admitted to neurological intensive care unit (NICU) of a tertiary care center in south India were studied for the frequency of NCSE.
Purpose: To study the short-term effects of vagus nerve stimulation (VNS) on brain activation and cerebral blood flow by using functional magnetic resonance imaging (fMRI).
Methods: Five patients (three women, two men; mean age, 35.4 years) who were treated for medically refractory epilepsy with VNS, underwent fMRI.