Thanks a lot!

Further, transient oscillatory network activity was amplified during the spontaneous allocation of covert attention. We thus propose that the orchestration of transient oscillations facilitates inter-areal interactions supporting efficient cognition.

During decision-making coincidences of oscillatory transients increased in the alpha and beta frequency range prior to correct decisions in a parieto-frontal network. Behavioral relevance vanished for sustained (transient-free) amplitude coupling.

Further, we applied a behavioral task probing both decision-making and attention to identify large-scale networks modulated during cognition. Transiently increased oscillatory networks predicted decision behavior up to 1.5s prior to a choice.

For this study, we developed and validated a novel approach to temporally disentangle sustained as well as transient oscillatory and aperiodic components of dynamic functional networks.

How do large-scale brain networks interact to enable cognition? Here, we demonstrate that inter-areal amplitude-coupling mainly reflects coincident oscillatory high-amplitude transients, rather than sustained activity or aperiodic transients.

Or in other words: Amplitude coupling is predominately based on oscillations (in the raw signal, see also here: www.sciencedirect.com/science/arti...) but the dynamics of amplitude coupling follows a 1/f distribution.

The other way around: the raw signal has a spectrum with oscillatory peaks. If you bandpass filter that signal to say 8-12Hz and compute the amplitude envelope (the foundation of coupling) and take a spectrum of this envelope it is aperiodic.

Both views are actually compatible: the spectrum of band-limited signal amplitudes is aperiodic. The slope of the envelope spectrum defines the occurrence and duration of transients/bursts. Yet, the signal during an amplitude burst can be oscillatory (rhythmic) or not.