Fig. 4: Case study of in-clinic recordings.

a Application of a customized filter to better highlight a band of interest (13–35 Hz). b Raw neuronal recording and time-frequency analysis aligned to therapy changes. Amplitude stepping induces changes both at the raw signal (abrupt magnitude rises) and scalogram (high low-frequency activity). Note that the y-axis of the scalograms has a logarithmic scale. c Example of a recording where both beta and theta-alpha activities are elevated. d Recording with cardiac artifacts before (top) and after (bottom) cleaning. e Recording with motion-induced artifacts. The artifacts span across the entire frequency spectrum, being more intense at the peaks in motion power and vanishing once the motion power is plotted over zero. f Cross-signal analysis for a titration recording during a motor task. Both stimulation and movement suppress beta-band activity.