Aysegul Gunduz

TL;DR: The results show that TQWT performs better or comparable to the state-of-the-art speech signal processing techniques used in PD classification, and Mel-frequency cepstral and the tunable-Q wavelet coefficients, which give the highest accuracies, contain complementary information inPD classification problem resulting in an improved system when combined using a filter feature selection technique.

TL;DR: The MCI data indicate that IL-1s, α2M and BDNF are somehow related, and this relationship might allow MCI patients to be more similar to the healthy controls.

TL;DR: Deep brain stimulation was associated with symptomatic improvement in patients with Tourette syndrome but also with important adverse events, including intracranial hemorrhage and infection.

TL;DR: The data provide the first direct electrophysiological evidence that the envelope of speech is robustly tracked in non-primary auditory cortex (belt areas in particular), and suggest that the considered higher-order regions (STG and Broca's region) partake in a more abstract linguistic analysis.

TL;DR: The methods for collecting recording ECoG are described, and how to use these signals for important real-time applications such as clinical mapping and brain-computer interfacing are demonstrated.