| Zugriffsnummer | 33443 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | unbekannt |
| Sprache | Englisch |
| Titel | Non-invasive single-trial EEG detection of evoked human neocortical population spikes |
| Autor(in); Institution |
Waterstraat, G.; Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charite – University Medicine Berlin, Berlin, GERMANY; Bernstein Focus: Neurotechnology Berlin, Berlin, GERMANY
Burghoff, Martin; 8.2, Biosignale, PTB-Berlin; Bernstein Focus: Neurotechnology Berlin, Berlin, GERMANY
Fedele, Tommaso; Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charite – University Medicine Berlin, Berlin, GERMANY; Bernstein Focus: Neurotechnology Berlin, Berlin, GERMANY
Nikulin, V.; Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charite – University Medicine Berlin, Berlin, GERMANY; Bernstein Center for Computational Neuroscience Berlin, Berlin, GERMANY
Scheer, Hans-Jürgen; 8.2, Biosignale, PTB-Berlin; Bernstein Focus: Neurotechnology Berlin, Berlin, GERMANY
Curio, G.; Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charite – University Medicine Berlin, Berlin, GERMANY; Bernstein Focus: Neurotechnology Berlin, Berlin, GERMANY; Bernstein Center for Computational Neuroscience Berlin, Berlin, GERMANY
|
| Quelle/Jahr | NeuroImage: 105 (2014), 13 - 20 |
| ISSN | 1053-8119 (PRINT) ; 1095-9572 (ONLINE) |
| DOI | |
| Verlag | Amsterdam: Elsevier |
| Freie Schlagworte | Evoked potentials ; Singl-trial detection ; High-frequency oscillations ; Somatosensory system |
| Zusammenfassung | Question Human high-frequency (> 400 Hz) components of somatosensory evoked potentials (hf-SEPs), which can be recorded non-invasively at the scalp, are generated by cortical population spikes, as inferred from microelectrode recordings in non-human primates. It is a critical limitation to broader neurophysiological study of hf-SEPs in that hundreds of responses have to be averaged to detect hf-SEPs reliably. Here, we establish a framework for detecting human hf-SEPs non-invasively in single trials. Methods Spatio-temporal features were extracted from band-pass filtered (400-900 Hz) hf-SEPs by bilinear Common Spatio-Temporal Patterns (bCSTP) and then classified by a weighted Extreme Learning Machine (w-ELM). The effect of varying signal-to-noise ratio (SNR), number of trials, and degree of w-ELM re-weighting was characterized using surrogate data. For practical demonstration of the algorithm, median nerve hf-SEPs were recorded inside a shielded room in four subjects, spanning the hf-SEP signal-to-noise ratio characteristic for a larger population, utilizing a custom-built 29-channel low-noise EEG amplifier. Results Using surrogate data, the SNR proved to be pivotal to detect hf-SEPs in single trials efficiently, with the trade-off between sensitivity and specificity of the algorithm being obtained by the w-ELM re-weighting parameter. In practice, human hf-SEPs were detected non-invasively in single trials with a sensitivity of up to 99% and a specificity of up to 97% in two subjects, even without any recourse to knowledge of stimulus timing. Matching with the results of the surrogate data analysis, these rates dropped to 62–79% sensitivity and 18–31% specificity in two subjects with lower SNR. Conclusions Otherwise buried in background noise, human high-frequency EEG components can be extracted from low-noise recordings. Specifically, refined supervised filter optimization and classification enables the reliable detection of single-trial hf-SEPs, representing non-invasive correlates of cortical population spikes. Significance While low-frequency EEG reflects summed postsynaptic potentials, and thereby neuronal input, we suggest that high-frequency EEG () 400 Hz) can provide non-invasive access to the unaveraged output of neuronal computation, i.e., single-trial population spike activity evoked in the responsive neuronal ensemble. |
