Abstract
Background
Substance use disorder (SUD) is conceptualized as a neuropsychiatric disease with
multifaceted phenotypic manifestations including disrupted interactions between brain
networks. While current understanding of brain network interactions is mostly based
on static functional connectivity, accumulating evidence suggests that temporal dynamics
of these network interactions may better reflect brain function and disease related
dysfunction. We thus investigated brain dynamics in cocaine use disorder and assessed
their relationship with cocaine dependence severity.
Methods
Using a time-frame analytical approach on resting-state functional MRI data of 54
cocaine users and 54 age and sex matched healthy controls, we identified temporally
recurring brain network configuration patterns, termed brain states. With Menon’s
“triple network model” as a guide, we characterized these state dynamics by quantifying
their occurrence rate and transition probability. Group differences in the state dynamics
and their association with cocaine dependence were assessed.
Results
Three recurrent brain states with spatial patterns resembling the default-mode, salience,
and executive-control networks were identified. Compared with healthy controls, cocaine
users showed a higher default-mode state occurrence rate and higher probability of
transitioning from the salience state to the default-mode state, with the former being
attributed to the latter. A composite state transition probability negatively correlated
with cocaine dependence severity.
Conclusions
Our results provide novel evidence supporting for the “triple network model”. While
confirming hyperactivity of default-mode network in cocaine users, our findings indicate
the failure of salience network in toggling between default-mode and execute-control
networks in cocaine use disorder.
Keywords
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Article Info
Publication History
Accepted:
August 22,
2022
Received in revised form:
July 28,
2022
Received:
April 23,
2022
Publication stage
In Press Journal Pre-ProofFootnotes
Disclosures
All authors have given final approval of this manuscript. All authors report no biomedical financial interests or potential conflicts of interest.
Identification
Copyright
© 2022 Published by Elsevier Inc on behalf of Society of Biological Psychiatry.
