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Mick I, Marien M, Leonardi M. 'Triangle sign': novel and needed supplement to sliding sign for evaluation of obliterated cul-de-sac in patients with retroverted uterus. Ultrasound Obstet Gynecol 2024; 63:702-703. [PMID: 38051118 DOI: 10.1002/uog.27555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/26/2023] [Accepted: 11/24/2023] [Indexed: 12/07/2023]
Affiliation(s)
- I Mick
- Division of Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON, Canada
| | - M Marien
- Division of Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON, Canada
| | - M Leonardi
- Division of Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON, Canada
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Limbrick-Oldfield EH, Mick I, Cocks RE, McGonigle J, Sharman SP, Goldstone AP, Stokes PRA, Waldman A, Erritzoe D, Bowden-Jones H, Nutt D, Lingford-Hughes A, Clark L. Neural substrates of cue reactivity and craving in gambling disorder. Transl Psychiatry 2017; 7:e992. [PMID: 28045460 PMCID: PMC5545724 DOI: 10.1038/tp.2016.256] [Citation(s) in RCA: 110] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Revised: 09/12/2016] [Accepted: 10/15/2016] [Indexed: 12/12/2022] Open
Abstract
Cue reactivity is an established procedure in addictions research for examining the subjective experience and neural basis of craving. This experiment sought to quantify cue-related brain responses in gambling disorder using personally tailored cues in conjunction with subjective craving, as well as a comparison with appetitive non-gambling stimuli. Participants with gambling disorder (n=19) attending treatment and 19 controls viewed personally tailored blocks of gambling-related cues, as well as neutral cues and highly appetitive (food) images during a functional magnetic resonance imaging (fMRI) scan performed ~2-3 h after a usual meal. fMRI analysis examined cue-related brain activity, cue-related changes in connectivity and associations with block-by-block craving ratings. Craving ratings in the participants with gambling disorder increased following gambling cues compared with non-gambling cues. fMRI analysis revealed group differences in left insula and anterior cingulate cortex, with the gambling disorder group showing greater reactivity to the gambling cues, but no differences to the food cues. In participants with gambling disorder, craving to gamble correlated positively with gambling cue-related activity in the bilateral insula and ventral striatum, and negatively with functional connectivity between the ventral striatum and the medial prefrontal cortex. Gambling cues, but not food cues, elicit increased brain responses in reward-related circuitry in individuals with gambling disorder (compared with controls), providing support for the incentive sensitization theory of addiction. Activity in the insula co-varied with craving intensity, and may be a target for interventions.
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Affiliation(s)
- E H Limbrick-Oldfield
- Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, BC, Canada,Department of Psychology, University of Cambridge, Cambridge, UK,Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, 2136 West Mall Vancouver, Vancouver, BC V6T 1Z4, Canada. E-mail:
| | - I Mick
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - R E Cocks
- Department of Psychology, University of Cambridge, Cambridge, UK,Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - J McGonigle
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - S P Sharman
- Department of Psychology, University of Cambridge, Cambridge, UK,School of Psychology, College of Social Science, University of Lincoln, Lincoln, UK
| | - A P Goldstone
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK,Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, London, UK
| | - P R A Stokes
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK,Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Centre for Affective Disorders, King’s College London, London, UK
| | - A Waldman
- Division of Experimental Medicine, Department of Imaging, Imperial College London, London, UK
| | - D Erritzoe
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - H Bowden-Jones
- National Problem Gambling Clinic, CNWL NHS Foundation Trust, Imperial College London, London, UK
| | - D Nutt
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - A Lingford-Hughes
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK,Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, London, UK,National Problem Gambling Clinic, CNWL NHS Foundation Trust, Imperial College London, London, UK
| | - L Clark
- Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, BC, Canada,Department of Psychology, University of Cambridge, Cambridge, UK
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Hutchison K, Claus E, Harlaar N, Bryan A, Grilo CM, Jenkov VP, Toteva S, Jenkov V, Lehert P, VandenBrink W, Preuss UW, Ridinger M, Fehr C, Koller G, Bondy B, Wodarz N, Soyka M, Zill P, Zimmermann US, Mick I, Lachnit A, Kabus M, Gahr M. FREE ORAL COMMUNICATIONS 7: SUBGROUPS OF ALCOHOL DEPENDENCE AND THEIR SPECIAL TREATMENT * O7.1 * ALCOHOL DEPENDENCE: LINKING GENES WITH INTERMEDIATE NEUROBIOLOGICAL PHENOTYPES. Alcohol Alcohol 2011. [DOI: 10.1093/alcalc/agr123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Mick I, O’Connor S, Vitvitsky V, Plawecki M, Mann K, Zimmermann U. Computer-assisted Self-infusion of Ethanol (case): New Outcome Measures may Contain Unseful Information. Eur Psychiatry 2009. [DOI: 10.1016/s0924-9338(09)70675-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Oral alcohol self-administration studies limit the range of arterial blood alcohol concentrations (aBAC) due to the combination of IRB-constraints on the maximum aBAC allowed and substantial variability in idiosyncratic enteral absorption. 25 healthy young adults participated in a preliminary assessment of the influence of familial alcoholism on alcohol self-administration using CASE. CASE automates the i.v. infusion of 6% ethanol, using an individualized kinetic model to achieve identical incremental aBAC in all subjects.In two CASE sessions, the subject was instructed to request infused “drinks” in order to emulate his/her perceptions of alcohol effects obtained at a weekend party. Conventional outcome measures all correlated closely with each other, so we evaluated the basic shape of the time course of aBAC achieved and the latency to peak aBAC (Tpk).Tpk correlated with maximum aBAC on the 1st (p= 0.029), but not 2nd session. Further, Tpk did not correlate with mean aBAC on either day, but did correlate well with the number of drink requests on both days (p< 0.001). In 33 out of 47 experiments, subjects achieved and maintained stable plateaus of aBAC for at least 30 minutes during the self-infusion. Both latency to peak aBAC and the shape of the subject’s preferred time course of aBAC may represent informative new ways of examining styles of alcohol self-administration of alcohol using CASE. The additions may enrich studies of the influence of factors such as familial alcoholism on the vulnerability for alcohol future alcohol dependence.
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