RT Journal Article
SR Electronic
T1 Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity
JF eneuro
JO eNeuro
FD Society for Neuroscience
SP ENEURO.0406-20.2021
DO 10.1523/ENEURO.0406-20.2021
VO 8
IS 1
A1 L. Fakhraei
A1 M. Francoeur
A1 P. Balasubramani
A1 T. Tang
A1 S. Hulyalkar
A1 N. Buscher
A1 C. Claros
A1 A. Terry
A1 A. Gupta
A1 H. Xiong
A1 Z. Xu
A1 J. Mishra
A1 D. S. Ramanathan
YR 2021
UL http://www.eneuro.org/content/8/1/ENEURO.0406-20.2021.abstract
AB A key aspect of behavioral inhibition is the ability to wait before acting. Failures in this form of inhibition result in impulsivity and are commonly observed in various neuropsychiatric disorders. Prior evidence has implicated medial frontal cortex, motor cortex, orbitofrontal cortex (OFC), and ventral striatum in various aspects of inhibition. Here, using distributed recordings of brain activity [with local-field potentials (LFPs)] in rodents, we identified oscillatory patterns of activity linked with action and inhibition. Low-frequency (δ) activity within motor and premotor circuits was observed in two distinct networks, the first involved in cued, sensory-based responses and the second more generally in both cued and delayed actions. By contrast, θ activity within prefrontal and premotor regions (medial frontal cortex, OFC, ventral striatum, and premotor cortex) was linked with inhibition. Connectivity at θ frequencies was observed within this network of brain regions. Interestingly, greater connectivity between primary motor cortex (M1) and other motor regions was linked with greater impulsivity, whereas greater connectivity between M1 and inhibitory brain regions (OFC, ventral striatum) was linked with improved inhibition and diminished impulsivity. We observed similar patterns of activity on a parallel task in humans: low-frequency activity in sensorimotor cortex linked with action, θ activity in OFC/ventral prefrontal cortex (PFC) linked with inhibition. Thus, we show that δ and θ oscillations form distinct large-scale networks associated with action and inhibition, respectively.