Dissociating harmonic and non-harmonic phase-amplitude coupling in the human brain.

Phase-amplitude coupling (PAC) has been hypothesized to coordinate cross-frequency interactions of neuronal activity in the brain. However, little is known about the distribution of PAC across the human brain and the frequencies involved. Furthermore, it remains unclear to what extent PAC may reflect spurious cross-frequency coupling induced by physiological artifacts or rhythmic non-sinusoidal signals with higher harmonics.

Optically Pumped Magnetometers for Magneto-Myography to Study the Innervation of the Hand.

The central nervous system exerts control over the activation of muscles via a dense network of nerve fibers targeting each individual muscle. There are numerous clinical situations where a detailed assessment of the nerve-innervation pattern is required for diagnosis and treatment. Especially, deep muscles are hard to examine and are as yet only accessible by uncomfortable and painful needle EMG techniques.

Motor actions influence subsequent sensorimotor decisions.

Sensorimotor decisions are influenced by factors beyond the current sensory input, but little is known about the effect of preceding motor actions. Here, we show that choice-unrelated motor actions influence subsequent sensorimotor decisions. By instructing participants to perform choice-unrelated motor responses before visuomotor decisions, we could manipulate upcoming decisions in a directed fashion.

Analyzing EEG and MEG signals recorded during tES, a reply.

Transcranial Electric Stimulation (tES) is a widely used non-invasive brain stimulation technique. However, strong stimulation artifacts complicate the investigation of neural activity with EEG or MEG during tES. Thus, studying brain signals during tES requires detailed knowledge about the properties of these artifacts.

Phase properties of transcranial electrical stimulation artifacts in electrophysiological recordings.

Monitoring brain activity during transcranial electric stimulation (tES) is an attractive approach for causally studying healthy and diseased brain activity. Yet, stimulation artifacts complicate electrophysiological recordings during tES. Design and evaluation of artifact removal methods require a through characterization of artifact features, i.

Physiological processes non-linearly affect electrophysiological recordings during transcranial electric stimulation.

Transcranial electric stimulation (tES) is a promising tool to non-invasively manipulate neuronal activity in the human brain. Several studies have shown behavioral effects of tES, but stimulation artifacts complicate the simultaneous investigation of neural activity with EEG or MEG. Here, we first show for EEG and MEG, that contrary to previous assumptions, artifacts do not simply reflect stimulation currents, but that heartbeat and respiration non-linearly modulate stimulation artifacts.