Shared network-level functional alterations across substance use disorders: A multi-level kernel density meta-analysis of resting-state functional connectivity studies.
An increasing number of neuroimaging studies indicate functional alterations in cortico-striatal loops in individuals with substance use disorders (SUD). Dysregulations in these circuits may contribute to drug-seeking and drug-consuming behaviour by impeding inhibitory control, habit formation, and...
| Publicado en: | Addiction Biology Vol. 27; no. 4; pp. 1 - 11 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
Mar2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157665329&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157665329 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13556215 ADB jtl: Addiction Biology issn: 13556215 maglogo: Y pubinfo: dt: Mar2022 vid: 27 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 157665329 157665329 NLM35754101 157665329 10.1111/adb.13200 NLM35754101 157665329 ppf: 1 ppct: 10 formats: tig: atl: Shared network-level functional alterations across substance use disorders: A multi-level kernel density meta-analysis of resting-state functional connectivity studies. aug: au: Taebi, Arezoo Becker, Benjamin Klugah‐Brown, Benjamin Roecher, Erik Biswal, Bharat Zweerings, Jana Mathiak, Klaus Klugah-Brown, Benjamin affil: Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany sug: subj: Substance Use Disorders Magnetic Resonance Imaging Brain Mapping Methods Human Neural Pathways Brain Comparative Studies Meta Analysis Multicenter Studies Evaluation Research Validation Studies Clinical Assessment Tools Arthritis Impact Measurement Scales ab: An increasing number of neuroimaging studies indicate functional alterations in cortico-striatal loops in individuals with substance use disorders (SUD). Dysregulations in these circuits may contribute to drug-seeking and drug-consuming behaviour by impeding inhibitory control, habit formation, and reward processing. Despite evidence of network-level changes in SUD, a shared pattern of functional alterations within and between spatially distributed brain networks has not been systematically investigated. The present meta-analytic investigation aims at identifying common alterations in resting-state functional connectivity patterns across different SUD, including stimulant, heroin, alcohol, cannabis, and nicotine use. To this aim, seed-based whole-brain connectivity maps for different functional networks were extracted and subjected to multi-level kernel density analysis to identify dysfunctional networks in individuals with SUD compared with healthy controls. In addition, an exploratory analysis examined substance-specific effects as well as the influence of drug use status on the main findings. Our findings indicate a hypoconnectivity pattern for the limbic, salience, and frontoparietal networks in individuals with SUD as compared with healthy controls. The default mode network additionally exhibited a complex pattern of hypo- and hyperconnectivity across the studies. The observed disrupted connectivity between networks in SUD may associate with deficient inhibitory control mechanisms that are thought to contribute to excessive craving and automatic drug-related behaviour as well as failure in substance use cessation. The identified network-based alterations in SUD represent potential treatment targets for neuromodulation, for example, network-based real-time functional magnetic resonance imaging (fMRI) neurofeedback. Such interventions can evaluate the behavioural relevance of the identified neural circuits. pubtype: Academic Journal doctype: meta analysis research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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