A Causal Network Analysis of Neuromodulation in the Mood Processing Network

Neuron. 2020 Sep 9;107(5):972-985.e6. doi: 10.1016/j.neuron.2020.06.012. Epub 2020 Jul 8.

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.

Keywords: causal network analysis; modulator decoding; multiregional communication; network edge neuromodulation; network excitability.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Affect / physiology*
  • Algorithms
  • Animals
  • Brain / physiology*
  • Electric Stimulation / methods
  • Macaca mulatta
  • Models, Neurological*
  • Nerve Net / physiology*