Single-Trial Cognitive Stress Classification Using Portable Wireless Electroencephalography.

This work used a low-cost wireless electroencephalography (EEG) headset to quantify the human response to different cognitive stress states on a single-trial basis. We used a Stroop-type color⁻word interference test to elicit mild stress responses in 18 subjects while recording scalp EEG. Signals recorded from thirteen scalp locations were analyzed using an algorithm that computes the root mean square voltages in the theta (4⁻8 Hz), alpha (8⁻13 Hz), and beta (13⁻30 Hz) bands immediately following the initiation of Stroop stimuli; the mean of the Teager energy in each of these three bands; and the wideband EEG signal line-length and number of peaks. These computational features were extracted from the EEG signals on thirteen electrodes during each stimulus presentation and used as inputs to logistic regression, quadratic discriminant analysis, and k-nearest neighbor classifiers. Two complementary analysis methodologies indicated classification accuracies over subjects of around 80% on a balanced dataset for the logistic regression classifier when information from all electrodes was taken into account simultaneously. Additionally, we found evidence that stress responses were preferentially time-locked to stimulus presentation, and that certain electrode⁻feature combinations worked broadly well across subjects to distinguish stress states.

Predicting and managing heat dissipation from a neural probe.

Light stimulating neural probes are rapidly increasing our understanding of neural pathways. Relocating the externally coupled light source to the probe tip has the potential to dramatically improve the flexibility of the technique. However, this approach would generate heat within the embedded probe where even minor temperature excursions could easily damage tissues under study. A COMSOL model was used to study the thermal effects of these heated probes in the brain including blood perfusion and metabolic heating, and to investigate the effect of passive methods for improving heat dissipation. The probe temperature initially decreases with insertion depth, and then becomes steady. Extending the probe beyond the heated region has a similar effect, while increasing the size of the heated region steadily decreases the probe temperature. Increasing the thermal conductivity of the probe promotes spreading, decreasing the probe temperature. The effects of insertion depth and probe power dissipation were experimentally tested with a microfabricated, heated mock neural probe. The heated probe was tested in 0.65 % agarose gel at room temperature and in ex vivo cow brain at body temperature. The thermal resistance between the probe and the neural tissue or agarose gel was determined at a range of insertion depths and compared to the COMSOL model.