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This document outlines the agenda for the NEMO All-Hands Meeting held on February 26, 2010. Key components include introductions of the project aims, an overview of the data analysis workflow using EEGLAB, and detailed tutorials on ERP data visualization and pattern decomposition. Presentations from prominent consortium members highlighted the project's focus on ontology development and robust ERP pattern analysis. The meeting emphasized the essential pillars of the NEMO project, including ERP data management and meta-analysis tools.
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February 26, 2010 NEMO All-Hands Meeting: Overview of Day 1 http://nemo.nic.uoregon.edu
Overview Today’s Agenda • Introductions & review of NEMO project aims (GAF) • Overview of data analysis workflow (RMF) • Intro to EEGLAB & NEMO simERP test data (GF/RMF) LUNCH • EEGLAB visualization tutorial • NEMO_Pattern_Decomposition tutorial #1 • NEMO_Pattern_Decomposition tutorial #2
(Re)Introductions: Who we are • NEMO “Core” (PIs & go-to people) • Dejing Dou (lead PI, CIS — Oregon) • Gwen Frishkoff (co-PI, Psychology — GSU) • Allen Malony (co-I, CIS — Oregon) • Don Tucker (co-I, Psychology — Oregon) • Robert Frank (EEG/ERP Analysis Tools) • Paea LePendu (Ontology Development) • Snezana Nikolic (Ontology Curation) • Jason Sydes (Database & Web Portal) • Haishan Liu (Grad Student, CIS)
(Re)Introductions: Who we are • NEMO Consortium • John Connolly & Alex Beaverstone (McMaster U) • Tim Curran & Chris Bird (U Colorado) • Kerry Kilborn & Stephanie Connell (Glasgow U) • Dennis Molfese (U Louisville) • Chuck Perfetti (U Pittsburgh)
Overview of NEMO Project Aims • Design and test procedures for automated & robust ERP pattern analysis and classification • Capture rules, concepts in a formal ERP ontology • Develop ontology-based tools for ERP data markup • Apply ERP analysis tools to consortium datasets • Perform meta-analyses of consortium data • Build data storage & management system
The three pillars of NEMO • ERP Ontologies • ERP Data • ERP Database & portal
The three pillars of NEMO Focus of this All-Hands Meeting • ERP Ontologies • ERP Data • ERP Database & portal
TUTORIAL #1:Viewing ERP Data in EEGLAB TUTORIAL #2:Decomposition with PCA TUTORIAL #3:Segmentation with Microstates TODAY
TUTORIAL #4:Extracting ontology-based attributes And exporting to text or RDF TOMORROW
Two classes of methods for NEMO_ERP_pattern_extractraction • Pattern decomposition • Temporal factor analysis (tPCA, tICA) • Spatial factor analysis (sPCA, sICA) • etc. • Pattern segmentation (i.e., windowing) • Microstate analysis (5 flavors – Bob will describe)
Decomposition approach 100ms P100 PCA, ICA, dipoles etc. multiple methods for principled separation of patterns using factor-analytic approach 170ms N100 200ms fP2 P1r/ N3 280ms 400ms P1r/ MFN 600ms P300
Windowing/segmentation approach • Advantages over factor-analytic/ decomposition methods: • Familiarity — Closer to what most ERP researchers do (manually) • Less (or at least different!) concerns regarding misallocation of variance • Robustness to latency diffs across subjects, conditions 100ms P100 170ms N100 200ms fP2 P1r/ N3 280ms 400ms P1r/ MFN 600ms P300 Michel, et al., 2004; Koenig, 1995; Lehmann & Skrandies, 1985