NeuronNeurosciencePeer-reviewed journal article
Decoding and modulating multiregional communication in the mood processing network
Shaoyu QiaoiD, J. Isaac Sedillo, Kevin A. BrowniD, Breonna FerrentinoiD, Bijan PesaraniD
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 (SB-TetMS), 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 while SB-TetMS neuromodulation specifically 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.\n\nOne Sentence SummaryDecoding and modulating multiregional network communication.
- organism: non-human primate
- assay: electronic health records
- research focus: cell-cell communication
- research focus: perturbation response prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 26
- FWCI
- 2.15
- Field percentile
- top 13%
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