| Autor: |
Pollard AA; California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA.; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA., Hauson AO; California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA.; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA.; Department of Psychiatry, University of San Diego, La Jolla, CA, USA., Lackey NS; California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA.; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA., Zhang E; California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA.; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA., Khayat S; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA., Carson B; California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA.; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA., Fortea L; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.; Department of Medicine, University of Barcelona, Barcelona, Spain., Radua J; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, UK., Grant I; Department of Psychiatry, University of San Diego, La Jolla, CA, USA. |
| Abstrakt: |
Background: The neuroanatomy of craving, typically investigated using the functional magnetic resonance imaging (fMRI) drug cue reactivity (FDCR) paradigm, has been shown to involve the mesocorticolimbic, nigrostriatal, and corticocerebellar systems in several substances. However, the neuroanatomy of craving in heroin use disorder is still unclear. Objective: The current meta-analysis examines previous research on the neuroanatomy of craving in abstinent individuals with opioid use disorder (OUD). Method: Seven databases were searched for studies comparing abstinent OUD versus healthy controls on drug > neutral contrast interaction at the whole-brain level. Voxel-based meta-analysis was performed using seed-based d mapping with permuted subject images (SDM-PSI). Thresholds were set at a family-wise error rate of less than 5% with the default pre-processing parameters of SDM-PSI. Results: A total of 10 studies were included (296 OUD and 187 controls). Four hyperactivated clusters were identified with Hedge s' g of peaks that ranged from 0.51 to 0.82. These peaks and their associated clusters correspond to the three systems identified in the previous literature: a) mesocorticolimbic, b) nigrostriatal, and c) corticocerebellar. There were also newly revealed hyperactivation regions including the bilateral cingulate, precuneus, fusiform gyrus, pons, lingual gyrus, and inferior occipital gyrus. The meta-analysis did not reveal areas of hypoactivation. Conclusion: Recommendations based on the functional neuroanatomical findings of this meta-analysis include pharmacological interventions such as buprenorphine/naloxone and cognitive-behavioral treatments such as cue-exposure combined with HRV biofeedback. In addition, research should utilize FDCR as pre- and post-measurement to determine the effectiveness and mechanism of action of such interventions. |
