6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Functional Connectivity of Chronic Cocaine Use Reveals Progressive Neuroadaptations in Neocortical, Striatal, and Limbic Networks

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Brain imaging studies indicate that chronic cocaine users display altered functional connectivity between prefrontal cortical, thalamic, striatal, and limbic regions; however, the use of cross-sectional designs in these studies precludes measuring baseline brain activity prior to cocaine use. Animal studies can circumvent this limitation by comparing functional connectivity between baseline and various time points after chronic cocaine use. In the present study, adult male Long–Evans rats were trained to self-administer cocaine intravenously for 6 h sessions daily over 14 consecutive days. Two additional groups serving as controls underwent sucrose self-administration or exposure to the test chambers alone. Functional magnetic resonance imaging was conducted before self-administration and after 1 and 14 d of abstinence (1d and 14d Abs). After 1d Abs from cocaine, there were increased clustering coefficients in brain areas involved in reward seeking, learning, memory, and autonomic and affective processing, including amygdala, hypothalamus, striatum, hippocampus, and thalamus. Similar changes in clustering coefficient after 1d Abs from sucrose were evident in predominantly thalamic brain regions. Notably, there were no changes in strength of functional connectivity at 1 or 14 d after either cocaine or sucrose self-administration. The results suggest that cocaine and sucrose can change the arrangement of functional connectivity of brain regions involved in cognition and emotion, but that these changes dissipate across the early stages of abstinence. The study also emphasizes the importance of including baseline measures in longitudinal functional neuroimaging designs seeking to assess functional connectivity in the context of substance use.

          Related collections

          Most cited references78

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The structure and function of complex networks

          M. Newman (2003)
          Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Finding and evaluating community structure in networks

            We propose and study a set of algorithms for discovering community structure in networks -- natural divisions of network nodes into densely connected subgroups. Our algorithms all share two definitive features: first, they involve iterative removal of edges from the network to split it into communities, the edges removed being identified using one of a number of possible "betweenness" measures, and second, these measures are, crucially, recalculated after each removal. We also propose a measure for the strength of the community structure found by our algorithms, which gives us an objective metric for choosing the number of communities into which a network should be divided. We demonstrate that our algorithms are highly effective at discovering community structure in both computer-generated and real-world network data, and show how they can be used to shed light on the sometimes dauntingly complex structure of networked systems.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The activation of attentional networks.

              Alerting, orienting, and executive control are widely thought to be relatively independent aspects of attention that are linked to separable brain regions. However, neuroimaging studies have yet to examine evidence for the anatomical separability of these three aspects of attention in the same subjects performing the same task. The attention network test (ANT) examines the effects of cues and targets within a single reaction time task to provide a means of exploring the efficiency of the alerting, orienting, and executive control networks involved in attention. It also provides an opportunity to examine the brain activity of these three networks as they operate in a single integrated task. We used event-related functional magnetic resonance imaging (fMRI) to explore the brain areas involved in the three attention systems targeted by the ANT. The alerting contrast showed strong thalamic involvement and activation of anterior and posterior cortical sites. As expected, the orienting contrast activated parietal sites and frontal eye fields. The executive control network contrast showed activation of the anterior cingulate along with several other brain areas. With some exceptions, activation patterns of these three networks within this single task are consistent with previous fMRI studies that have been studied in separate tasks. Overall, the fMRI results suggest that the functional contrasts within this single task differentially activate three separable anatomical networks related to the components of attention.
                Bookmark

                Author and article information

                Journal
                eNeuro
                eNeuro
                eneuro
                eneuro
                eNeuro
                eNeuro
                Society for Neuroscience
                2373-2822
                17 July 2018
                24 July 2018
                Jul-Aug 2018
                : 5
                : 4
                : ENEURO.0081-18.2018
                Affiliations
                [1 ]Department of Psychiatry, University of Florida , Gainesville, FL 32611
                [2 ]Department of Neuroscience, University of Florida , Gainesville, FL 32611
                [3 ]Department of Psychology, University of Florida , Gainesville, FL 32611
                [4 ]Center for Addiction Research and Education (CARE), University of Florida , Gainesville, FL 32611
                [5 ]Advanced Magnetic Resonance Imaging and Spectroscopy (AMRIS) Facility, University of Florida , Gainesville, FL 32611
                Author notes

                The authors declare no competing financial interests.

                Author contributions: C.A.O., B.S., and M.F. designed research; C.A.O., L.M.C.-P., S.C.H., and M.F. performed research; C.A.O., L.M.C.-P., and M.F. analyzed data; C.A.O., L.M.C.-P., B.S., and M.F. wrote the paper.

                This work was supported in part by National Institutes of Health Grants DA-038009 (M.F.), DA-024671 (B.S.), and DA-036534 (B.S.); a McKnight Brain Institute Postdoctoral Fellowship (L.M.C.-P.); a Thomas H. Maren Postdoctoral Fellowship (C.A.O.); and the National High Magnetic Field Laboratory Advanced Magnetic Resonance Imaging & Spectroscopy (AMRIS) Facility (National Science Foundation Cooperative Agreement No. DMR-1157490 and the State of Florida). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the funding agencies.

                Correspondence should be addressed to Dr. Marcelo Febo, Department of Psychiatry, University of Florida, P.O. Box 100256, Gainesville, FL 32610. E-mail: febo@ 123456ufl.edu
                Author information
                http://orcid.org/0000-0001-8918-2418
                http://orcid.org/0000-0001-8981-4163
                Article
                eN-NWR-0081-18
                10.1523/ENEURO.0081-18.2018
                6071197
                30073194
                73ae52ba-d1ed-4e91-bba4-45ad3578d784
                Copyright © 2018 Orsini et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

                History
                : 22 February 2018
                : 25 June 2018
                : 10 July 2018
                Page count
                Figures: 7, Tables: 2, Equations: 0, References: 93, Pages: 17, Words: 13318
                Funding
                Funded by: http://doi.org/10.13039/100000026HHS | NIH | National Institute on Drug Abuse (NIDA)
                Award ID: DA038009
                Award ID: DA024671
                Funded by: Thomas H. Maren Foundation
                Funded by: McKnight Brain Foundation
                Categories
                3
                3.1
                New Research
                Disorders of the Nervous System
                Custom metadata
                July/August 2018

                cocaine,functional connectivity,network analysis,rat,resting-state fmri,self-administration

                Comments

                Comment on this article