Thesis Project Form
Title (tentative): Characterization of High-frequency oscillations from scalp EEG in epileptic pediatric patientsThesis advisor(s): Fato Marco Massimo, Prof. Pasquale Striano (Gaslini) - Ing. Gabriele Arnulfo (DIBRIS), Prof. Massimo Narizzano | E-mail: |
Address: Via All'Opera Pia, 13 - 16145 Genova | Phone: (+39) 010 33 52789 |
Description
Motivation and application domain
High-frequency oscillations has been related the seizure onset zone by means of invasive intracerebral recordings. The presence of such electrophysiological patterns during interictal recordings can be characterized in terms of spatial distribution and onset zone to fully exploit non-invasive recordings in the differential diagnose of epilepsy in young age.
General objectives and main activities
The general objectives and activities are:
1. the design and setup of algorithms to detect high-frequency oscillations recorded from clinical EEG
2. Characterize the spatial distributions and possibly to define the cortical origin
1. the design and setup of algorithms to detect high-frequency oscillations recorded from clinical EEG
2. Characterize the spatial distributions and possibly to define the cortical origin
Training Objectives (technical/analytical tools, experimental methodologies)
During the thesis mathematical (spatial filtering, ICA/PCA-based methods, connectivity, frequency based analyses and source reconstruction methods) as well as software tools (EEGLab, Brainstorm, Fieldtrip) used in EEG analyses will be investigated. The successful candidate will have the opportunity to take first chance to interact directly with medical doctors that are involved in the study of epilepsy and to face with real methodological problems connected to classical biomedical scenarios
Place(s) where the thesis work will be carried out: DIBRIS
Additional information
Pre-requisite abilities/skills: Dedication, Initiative, self-sufficiency, and previous experience with Matlab programming language
Maximum number of students: 2
Financial support/scholarship: Nessuno