eLifeNeurosciencePeer-reviewed journal article
Spontaneous Neuronal Oscillations in the Human Insula are Hierarchically Organized Traveling Waves
Anup DasiD, John C. MyersiD, Raissa K. MathuraiD, Ben ShoftyiD, Brian A. MetzgeriD, Kelly Rowe BijankiiD, Chengyuan WuiD, Joshua JacobsiD, Sameer Anil ShethiD
Abstract
The insula plays a fundamental role in a wide range of adaptive human behaviors, but its electrophysiological dynamics are poorly understood. Here we used human intracranial electroencephalographic recordings to investigate the electrophysiological properties and hierarchical organization of spontaneous neuronal oscillations within the insula. We analyzed the neuronal oscillations of the insula directly and found that rhythms in the theta and beta frequency oscillations are widespread and spontaneously present. These oscillations are largely organized along the anterior-posterior axis of the insula. Both the left and right insula showed anterior-to-posterior decreasing gradients for the power of oscillations in the beta frequency band. The left insula also showed a posterior-to-anterior decreasing frequency gradient and an anterior-to-posterior decreasing power gradient in the theta frequency band. In addition to measuring the power of these oscillations, we also examined the phase of these signals across simultaneous recording channels and found that the insula oscillations in the theta and beta bands are traveling waves. The strength of the traveling waves in each frequency was positively correlated with the amplitude of each oscillation. However, the theta and beta traveling waves were uncoupled to each other in terms of phase and amplitude, which suggested that insula traveling waves in the theta and beta bands operate independently. Our findings provide new insights into the spatiotemporal dynamics and hierarchical organization of neuronal oscillations within the insula, which, given its rich connectivity with widespread cortical regions, indicates that oscillations and traveling waves have an important role in intra- and inter-insula communication.
- organism: human
- assay: electronic health records
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 47
- FWCI
- 5.16
- Field percentile
- top 3%
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