bioRxivNeurosciencePreprint
Latency and amplitude of the stop-signal P3 event-related potential are related to inhibitory GABAa activity in primary motor cortex
Megan HyndiD, Cheol SohiD, Benjamin O. RangeliD, Jan R. WesseliD
Abstract
By stopping actions even after their initiation, humans can adapt their ongoing behavior rapidly to changing environmental circumstances. The neural processes underlying the implementation of rapid action-stopping are still controversially discussed. In the early 1990s, a fronto-central P3 event-related potential (ERP) was identified in the human EEG response following stop-signals in the classic stop-signal task, accompanied by the proposal that this ERP reflects the "inhibitory" side of the purported horse-race underlying successful action-stopping. Later studies have lent support to this interpretation by finding that the amplitude and onset of the stop-signal P3 relate to both overt behavior and to movement-related EEG activity in ways predicted by the race model. However, such studies are limited by the ability of EEG to allow direct inferences about the presence (or absence) of true, physiologically inhibitory signaling at the neuronal level. To address this, we here present a cross-modal individual differences investigation of the relationship between the features stop-signal P3 ERP and GABAergic neurotransmission in primary motor cortex (M1, as measured by paired-pulse transcranial magnetic stimulation). Following recent work, we measured short-interval intracortical inhibition (SICI), a marker of inhibitory GABAa activity in M1, in a group of 41 human participants who also performed the stop-signal task while undergoing EEG recordings. In line with the P3-inhibition hypothesis, we found that subjects with stronger inhibitory GABA activity in M1 also showed both faster onsets and larger amplitudes of the stop-signal P3. This provides direct evidence linking the properties of this ERP to a true physiological index of motor system inhibition. We discuss these findings in the context of recent theoretical developments and empirical findings regarding the neural implementation of inhibitory control during action-stopping.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 3
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