Publications by authors named "N Mariyappa"

Objectives: This study aimed to localise the eloquent cortex and measure evoked field (EF) parameters using magnetoencephalography in patients with epilepsy and tumours near the eloquent cortex.

Methods: A total of 41 patients (26 with drug-refractory epilepsy and 15 with tumours), with a mean age of 33 years, were recruited. Visual evoked field (VEF), auditory evoked field (AEF), sensory evoked field (SSEF), and motor-evoked field (MEF) latencies, amplitudes, and localisation were compared with those of a control population.

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Article Synopsis
  • Corpus callosotomy (CC) is a surgical procedure that aims to help patients with drug-resistant epilepsy (DRE) by stopping drop attacks and preventing falls.* -
  • A study reviewed the records of 17 patients who underwent CC, with a majority being young children, and noted improvements in seizure control post-surgery, including complete cessation of drop attacks in all patients.* -
  • The findings suggest that complete CC is more effective for controlling drop attacks compared to partial CC and can lead to a significant reduction in overall seizure frequency.*
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Aims: To study the latency, amplitude, and source localization of magnetic evoked field (MEF) responses to visual, auditory, and somatosensory stimuli in Wilson's disease (WD) using magnetoencephalography (MEG) and compare it with "healthy" controls, and correlate the observations with disease severity and brain MRI.

Methods: MEF of 28 patients with neurological WD (age: 22.82 ± 5.

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Background: Posterior quadrant disconnection (PQD) is an under-utilized surgical technique in the management of refractory epilepsy. There is a dearth of data pertinent to post-PQD seizure outcomes.

Methods: This retrospective study analyzed patients with drug-resistant childhood-onset epilepsy who underwent PQD at our center from 2009 to 2018.

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In a general scenario, the brain images acquired from magnetic resonance imaging (MRI) may experience tilt, distorting brain MR images. The tilt experienced by the brain MR images may result in misalignment during image registration for medical applications. Manually correcting (or estimating) the tilt on a large scale is time-consuming, expensive, and needs brain anatomy expertise.

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