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Altered Cerebro-Cerebellar Dynamic Functional Connectivity in Alcohol Use Disorder: a Resting-State fMRI Study.

Authors
  • Abdallah, Majd1
  • Zahr, Natalie M2, 3
  • Saranathan, Manojkumar4
  • Honnorat, Nicolas2, 3
  • Farrugia, Nicolas5
  • Pfefferbaum, Adolf2, 3
  • Sullivan, Edith V2, 3
  • Chanraud, Sandra6, 7
  • 1 Aquitaine Institute of Cognitive and Integrative Neuroscience, UMR CNRS 5287, University of Bordeaux, Bordeaux, France. , (France)
  • 2 Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305-5723, USA.
  • 3 Center for Health Sciences, SRI International, Menlo Park, CA, 94025, USA.
  • 4 Department of Medical Imaging, University of Arizona, Tucson, AZ, USA.
  • 5 Lab STICC, UMR CNRS 6285, IMT Atlantique, Brest, France. , (France)
  • 6 Aquitaine Institute of Cognitive and Integrative Neuroscience, UMR CNRS 5287, University of Bordeaux, Bordeaux, France. [email protected] , (France)
  • 7 Laboratory of Neuroimaging and Daily Life, EPHE, PSL, Research University, Bordeaux, France. [email protected] , (France)
Type
Published Article
Journal
Cerebellum (London, England)
Publication Date
Mar 03, 2021
Identifiers
DOI: 10.1007/s12311-021-01241-y
PMID: 33655376
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Alcohol use disorder (AUD) is widely associated with cerebellar dysfunction and altered cerebro-cerebellar functional connectivity (FC) that lead to cognitive impairments. Evidence for this association comes from resting-state functional magnetic resonance imaging (rsfMRI) studies that assess time-averaged measures of FC across the duration of a typical scan. This approach, however, precludes the assessment of potentially FC dynamics happening at faster timescales. In this study, using rsfMRI data, we aim at exploring cerebro-cerebellar FC dynamics in AUD patients (N = 18) and age- and sex-matched controls (N = 18). In particular, we quantified group-level differences in the temporal variability of FC between the posterior cerebellum and large-scale cognitive systems, and we investigated the role of the cerebellum in large-scale brain dynamics in terms of the temporal flexibility and integration of its regions. We found that, relative to controls, the AUD group exhibited significantly greater FC variability between the cerebellum and both the frontoparietal executive control (F1,31 = 7.01, p(FDR) = 0.028) and ventral attention (F1,31 = 7.35, p(FDR) = 0.028) networks. Moreover, the AUD group exhibited significantly less flexibility (F1,31 = 8.61, p(FDR) = 0.028) and greater integration (F1,31 = 9.11, p(FDR) = 0.028) in the cerebellum. Finally, in an exploratory analysis, we found distributed changes in the dynamics of canonical large-scale networks in AUD. Overall, this study brings evidence of AUD-related alterations in dynamic FC within major cerebro-cerebellar networks. This pattern has implications for explaining the development and maintenance of this disorder and improving our understating of the cerebellum's involvement in addiction.

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