A Causal Network Analysis of Neuromodulation in the Mood Processing Network

Shaoyu Qiao, J. Isaac Sedillo, Kevin A. Brown, Breonna Ferrentino, Bijan Pesaran

Research output: Contribution to journalArticlepeer-review

Abstract

Neural decoding and neuromodulation technologies hold great promise for treating mood and other brain disorders in next-generation therapies that manipulate functional brain networks. Here we perform a novel causal network analysis to decode multiregional communication in the primate mood processing network and determine how neuromodulation, short-burst tetanic microstimulation (sbTetMS), alters multiregional network communication. The causal network analysis revealed a mechanism of network excitability that regulates when a sender stimulation site communicates with receiver sites. Decoding network excitability from neural activity at modulator sites predicted sender-receiver communication, whereas sbTetMS neuromodulation temporarily disrupted sender-receiver communication. These results reveal specific network mechanisms of multiregional communication and suggest a new generation of brain therapies that combine neural decoding to predict multiregional communication with neuromodulation to disrupt multiregional communication.

Original languageEnglish (US)
Pages (from-to)972-985.e6
JournalNeuron
Volume107
Issue number5
DOIs
StatePublished - Sep 9 2020

Keywords

  • causal network analysis
  • modulator decoding
  • multiregional communication
  • network edge neuromodulation
  • network excitability

ASJC Scopus subject areas

  • Neuroscience(all)

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