Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation

John Eraifej*, Joana Cabral, Henrique M. Fernandes, Joshua Kahan, Shenghong He, Laura Mancini, John Thornton, Mark White, Tarek Yousry, Ludvic Zrinzo, Harith Akram, Patricia Limousin, Tom Foltynie, Tipu Z. Aziz, Gustavo Deco, Morten Kringelbach, Alexander L. Green

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Abstract

Beyond the established effects of subthalamic nucleus deep brain stimulation (STN-DBS) in reducing motor symptoms in Parkinson’s disease, recent evidence has highlighted the effect on non-motor symptoms. However, the impact of STN-DBS on disseminated networks remains unclear. This study aimed to perform a quantitative evaluation of network-specific modulation induced by STN-DBS using Leading Eigenvector Dynamics Analysis (LEiDA). We calculated the occupancy of resting-state networks (RSNs) in functional MRI data from 10 patients with Parkinson’s disease implanted with STN-DBS and statistically compared between ON and OFF conditions. STN-DBS was found to specifically modulate the occupancy of networks overlapping with limbic RSNs. STN-DBS significantly increased the occupancy of an orbitofrontal limbic subsystem with respect to both DBS OFF (p = 0.0057) and 49 age-matched healthy controls (p = 0.0033). Occupancy of a diffuse limbic RSN was increased with STN-DBS OFF when compared with healthy controls (p = 0.021), but not when STN-DBS was ON, which indicates rebalancing of this network. These results highlight the modulatory effect of STN-DBS on components of the limbic system, particularly within the orbitofrontal cortex, a structure associated with reward processing. These results reinforce the value of quantitative biomarkers of RSN activity in evaluating the disseminated impact of brain stimulation techniques and the personalization of therapeutic strategies.

OriginalsprogEngelsk
TidsskriftNetwork Neuroscience
Vol/bind7
Nummer2
Sider (fra-til)478-495
Antal sider18
ISSN2472-1751
DOI
StatusUdgivet - jun. 2023

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