A direct comparison of Geodesic Sensor Net (128-channel) and conventional (30-channel) ERPs in tonal and phonetic oddball tasks Jürgen Kayser, Craig E.

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A direct comparison of Geodesic Sensor Net (128-channel) and conventional (30-channel) ERPs in tonal and phonetic oddball tasks Jürgen Kayser, Craig E. Tenke, Nilabja Bhattacharya, Barbara K. Stuart, Jeffrey Hudson, Gerard E. Bruder New York State Psychiatric Institute, Department of Biopsychology Society for Psychophysiological Research (SPR), 40th annual meeting, San Diego, CA, October 18-22, 2000 Symposium 14: Dense electrode array ERPs: Methodological developments, challenges and benefits

These task-specific ERP asymmetries interact with response hand in an unbalanced fashion Background TonalPhoneticTonal - Phonetic N2/P3 Amplitude pitch discrimination (right frontotemporal) phoneme discrimination (left parietotemporal) enhanced N2/P3 amplitude over the right lateral-temporal region for complex tones enhanced N2/P3 amplitude over the left parietal region for syllables ERPs of right-handed adults during auditory oddball tasks are characterized by stimulus-dependent N2/P3 asymmetries Kayser, Tenke, & Bruder (1998). Psychophysiology, 35(5), Tenke, Kayser, Fong, Leite, Towey, & Bruder (1998). Brain Topography, 10(3),

Complex Tones -square waves [444 Hz, 485 Hz] [444 Hz, 485 Hz] of major notes of major notes Syllables -consonant-vowels [/da/, /ka/] matched [/da/, /ka/] matched for discriminability for discriminability Oddball Tasks: Tonal and Phonetic Stimuli... B 20% targets 80% nontargets binaural... /da/ /ka/ binaural A B B B Left Press or Right Press or Silent Count Left Press or Right Press or Silent Count A /da/ /ka/ 960 trials total 12 blocks (80 trials) 12 blocks (80 trials) 32 targets/condition 32 targets/condition 128 nontargets/condtion

ElectroCap(30-channel) Geodesic Sensor Net (128-channel) Design Minimum 14 trials/condition ElectroCap24 GSN17 Gender Age (21 – 41 yrs) Handedness (Oldfield, 1971) Participants 27.8 ± female 14 male 79.7 ±22.6 N = ±6.3 6 female 6 female 11 male 77.5 ±24.9 N = 17

Data Recording and Processing Geodesic Sensor Net ElectroCap Reference nose tip vertex #17 moved to nose tip Bipolar EOG EOG leadsfrom facial EEG leads Storage format NeuroScan EGI Initial artifacting clipped epoch/trialclipped epoch/trial/site Interactive blink correction (linear regression) Off-line filtering 20 Hz / 24 dB low pass Re-reference nose tip Artifacting ±100 µV 1.flag artifacts (100 µV threshold) 2.interactive editing of EEG epoch/trial/site (reject or replace after visual analysis of complete EEG montage) ERP averaging 100 µV step response External calibration 400 µV 20 Hz sine wave

Behavioral Data: Correct button presses Task p =.0002 Task

ERP Waveforms: Complex Tones ElectroCap Nontargets Targets

ElectroCap Nontargets Targets ERP Waveforms: CV Syllables

ERP Waveforms: Complex Tones Geodesic Sensor Net Nontargets Targets

ERP Waveforms: CV Syllables Nontargets Targets Geodesic Sensor Net

ERP Waveforms: Vertex CV Syllables Complex Tones Targets Nontargets Geodesic Sensor Net Geodesic Sensor Net ElectroCap ElectroCap

ERP Topographies: Surface Potentials () ERP Topographies: Surface Potentials (Targets) Time interval: ms ElectroCap TonalPhonetic Geodesic Sensor Net TonalPhonetic

ElectroCap (30-channel) S890 P380 P300 N200 N110 Temporal PCA: Factor Loadings covariance matrix unscaled Varimax rotation GSN (30-channel) GSN (128-channel) P % S % P % N % N % Explained Variance 87.1% _____ S890 P380 P300 N200 N110 ElectroCap (30-channel) GSN (30-channel)

N110 ERP Topographies: N110 () ERP Topographies: N110 (Targets) ElectroCap TonalPhonetic Geodesic Sensor Net TonalPhonetic

N200 ERP Topographies: N200 () ERP Topographies: N200 (Targets) ElectroCap Geodesic Sensor Net TonalPhonetic TonalPhonetic Syst x Task x Hemi p =.04 ECap Task x Hemi p =.0001 GSN Task x Hemi p =.03

P300 ERP Topographies: P300 () ERP Topographies: P300 (Targets) ElectroCap Geodesic Sensor Net TonalPhonetic TonalPhonetic System p =.006 Syst x Site p =.03

ERP Topographies: P380 () ERP Topographies: P380 (Targets) TonalPhonetic TonalPhonetic ElectroCap Geodesic Sensor Net P380 Syst x Site p =.02 Pz Syst x Task p =.0001

(P380+P300) – (N200) ERP Topographies: N2/P3 Amplitude () ERP Topographies: N2/P3 Amplitude (Targets) TonalPhonetic TonalPhonetic ElectroCap Geodesic Sensor Net System p =.03 Syst x Task p =.03 Syst x Task x Site p =.007 ECap Task x Hemi p =.002 GSN Task x Hemi p =.004 ECap Task x Hemi x Site p =.0008 GSN Task x Hemi x Site p =.0009

Left Press Right Press Geodesic Sensor Net Silent Count Tonal Phonetic ERP Topographies: N2/P3 Amplitude () ERP Topographies: N2/P3 Amplitude (Targets) (P380+P300) – (N200)

ERP Noise Estimates: Vertex referenced to nose tip System p =.0003 System p =.0006 Condition Syst x Cond p =.02 p <.0001 System p =.02 Condition p <.0001

Conclusions ERPs were remarkably similar across the two systems for corresponding recording sites using the same reference improved spatial resolution of the DEA montage increases confidence in the topographical findings advantages come at a significant cost requirements for maintaining conventional standards with DEA recordings component structure peak latencies topographies labor/time intensive data processing (an order of magnitude!) loss of subjects and/or data decrease in effect size reduced S/N ratio and late ERP amplitudes (e.g., P3) large number of trials and/or subjects need for new tools for data processing (including EOG correction, artifacting, replacing missing channels) sufficient manpower

ERP Topographies: Surface Potentials () ERP Topographies: Surface Potentials (Targets) Time interval: ms Left Press Right Press Geodesic Sensor Net Silent Count Tonal Phonetic

ERP Topographies: Local Hjorth () ERP Topographies: Local Hjorth (Targets) Time interval: ms Left Press Right Press Geodesic Sensor Net Silent Count Tonal Phonetic sink source