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Ertl N, Freeman TP, Mokrysz C, Ofori S, Borissova A, Petrilli K, Curran HV, Lawn W, Wall MB. Acute effects of different types of cannabis on young adult and adolescent resting-state brain networks. Neuropsychopharmacology 2024; 49:1640-1651. [PMID: 38806583 PMCID: PMC11319659 DOI: 10.1038/s41386-024-01891-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/02/2024] [Accepted: 05/10/2024] [Indexed: 05/30/2024]
Abstract
Adolescence is a time of rapid neurodevelopment and the endocannabinoid system is particularly prone to change during this time. Cannabis is a commonly used drug with a particularly high prevalence of use among adolescents. The two predominant phytocannabinoids are Delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD), which affect the endocannabinoid system. It is unknown whether this period of rapid development makes adolescents more or less vulnerable to the effects of cannabis on brain-network connectivity, and whether CBD may attenuate the effects of THC. Using fMRI, we explored the impact of vaporized cannabis (placebo, THC: 8 mg/75 kg, THC + CBD: 8 mg/75 kg THC & 24 mg/75 kg CBD) on resting-state networks in groups of semi-regular cannabis users (usage frequency between 0.5 and 3 days/week), consisting of 22 adolescents (16-17 years) and 24 young adults (26-29 years) matched for cannabis use frequency. Cannabis caused reductions in within-network connectivity in the default mode (F[2,88] = 3.97, P = 0.022, η² = 0.018), executive control (F[2,88] = 18.62, P < 0.001, η² = 0.123), salience (F[2,88] = 12.12, P < 0.001, η² = 0.076), hippocampal (F[2,88] = 14.65, P < 0.001, η² = 0.087), and limbic striatal (F[2,88] = 16.19, P < 0.001, η² = 0.102) networks compared to placebo. Whole-brain analysis showed cannabis significantly disrupted functional connectivity with cortical regions and the executive control, salience, hippocampal, and limbic striatal networks compared to placebo. CBD did not counteract THC's effects and further reduced connectivity both within networks and the whole brain. While age-related differences were observed, there were no interactions between age group and cannabis treatment in any brain network. Overall, these results challenge the assumption that CBD can make cannabis safer, as CBD did not attenuate THC effects (and in some cases potentiated them); furthermore, they show that cannabis causes similar disruption to resting-state connectivity in the adolescent and adult brain.
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Affiliation(s)
- Natalie Ertl
- Invicro London, Burlington Danes Building, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK
- Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
| | - Shelan Ofori
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
| | - Anna Borissova
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
- National Addiction Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Kat Petrilli
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
| | - Will Lawn
- Clinical Psychopharmacology Unit, University College London, 1-19 Torrington Place, WC1E 7HB, London, UK
- National Addiction Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Matthew B Wall
- Invicro London, Burlington Danes Building, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK.
- Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK.
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Macedo I, Paiva TO, Pasion R, Daedelow L, Heinz A, Magalhães A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Holz N, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Barbosa F. Light Cannabis Use and the Adolescent Brain: An 8-years Longitudinal Assessment of Mental Health, Cognition, and Reward Processing. Psychopharmacology (Berl) 2024; 241:1447-1461. [PMID: 38532040 PMCID: PMC11199211 DOI: 10.1007/s00213-024-06575-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/11/2024] [Indexed: 03/28/2024]
Abstract
RATIONALE For decades, cannabis has been the most widely used illicit substance in the world, particularly among youth. Research suggests that mental health problems associated with cannabis use may result from its effect on reward brain circuit, emotional processes, and cognition. However, findings are mostly derived from correlational studies and inconsistent, particularly in adolescents. OBJECTIVES AND METHODS Using data from the IMAGEN study, participants (non-users, persistent users, abstinent users) were classified according to their cannabis use at 19 and 22 years-old. All participants were cannabis-naïve at baseline (14 years-old). Psychopathological symptoms, cognitive performance, and brain activity while performing a Monetary Incentive Delay task were used as predictors of substance use and to analyze group differences over time. RESULTS Higher scores on conduct problems and lower on peer problems at 14 years-old (n = 318) predicted a greater likelihood of transitioning to cannabis use within 5 years. At 19 years of age, individuals who consistently engaged in low-frequency (i.e., light) cannabis use (n = 57) exhibited greater conduct problems and hyperactivity/inattention symptoms compared to non-users (n = 52) but did not differ in emotional symptoms, cognitive functioning, or brain activity during the MID task. At 22 years, those who used cannabis at both 19 and 22 years-old n = 17), but not individuals that had been abstinent for ≥ 1 month (n = 19), reported higher conduct problems than non-users (n = 17). CONCLUSIONS Impairments in reward-related brain activity and cognitive functioning do not appear to precede or succeed cannabis use (i.e., weekly, or monthly use). Cannabis-naïve adolescents with conduct problems and more socially engaged with their peers may be at a greater risk for lighter yet persistent cannabis use in the future.
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Affiliation(s)
- Inês Macedo
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Educational Sciences (Laboratory of Neuropsychophysiology), University of Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal.
- Addiction Biology Group, i3S-Instituto de Investigação E Inovação Em Saúde, Porto, Portugal.
| | | | - Rita Pasion
- HEI-LAB, Lusófona University, Porto, Portugal
| | - Laura Daedelow
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin, Institute of Health, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin, Institute of Health, Berlin, Germany
| | - Ana Magalhães
- Addiction Biology Group, i3S-Instituto de Investigação E Inovação Em Saúde, Porto, Portugal
- Instituto de Biologia Molecular E Celular (IBMC), University of Porto, Porto, Portugal
- Instituto de Ciências Biomédicas de Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-Sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt, Braunschweig und Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 Trajectoires Développementales & Psychiatrie, CNRS; EcoleNormaleSupérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-Sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 Trajectoires Développementales & Psychiatrie, University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-Sur-Yvette, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, and AP-HP. Sorbonne University, Paris, France
| | - Eric Artiges
- Institut National de La Santé Et de La Recherche Médicale, INSERM U 1299 Trajectoires Développementales & Psychiatrie, CNRS; EcoleNormaleSupérieure Paris-Saclay, Centre Borelli; Gif-Sur-Yvette; and Psychiatry Department, EPS Barthélémy Durand, University Paris-Saclay, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hosptalier, Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, ON, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin, Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Educational Sciences (Laboratory of Neuropsychophysiology), University of Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal
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Audi D, Hajeer S, Saab MB, Saab L, Harati H, Desoutter A, Al Ahmar E, Estephan E. Effects of Cannabis Use on Neurocognition: A Scoping Review of MRI Studies. J Psychoactive Drugs 2024:1-17. [PMID: 38944688 DOI: 10.1080/02791072.2024.2372377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 05/06/2024] [Indexed: 07/01/2024]
Abstract
Cannabis is one of the most commonly utilized recreational drugs. However, increasing evidence from the literature suggests harmful implications on cognition. Thus, the main aim of the current review is to summarize literature findings pertaining to the impact of cannabis on neurocognitive skills, focusing on the imaging biomarkers provided by MRI. Two reviewers navigated the literature independently using four main search engines including PubMed and Cochrane. Articles were first evaluated through their title and abstract, followed by full-text assessment. Study characteristics and findings were extracted, and the studies' quality was appraised. 47 articles were included. The majority of the studies were of a case-control design (66%), and the most studied neurocognitive skill was memory (40.4%). With task-based fMRI being the most commonly utilized MRI technique, findings have shown significantly varying decreased and increased neuronal activity within brain regions associated with the cognitive tasks performed. Results suggest that cannabis users are significantly suffering from cognitive deficits. The major significance of this review is attributed to highlighting the role of MRI. Future research needs to delve more into validating the negative effects of cannabis, to enable stakeholders to take action to limit cannabis usage, to foster public health and wellbeing.
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Affiliation(s)
- Dima Audi
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Shorouk Hajeer
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Marie-Belle Saab
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Faculty of Pedagogy, Lebanese University, Furn-El-Chebbak, Lebanon
| | - Lea Saab
- School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
- Faculty of Arts and Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
| | - Hayat Harati
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Muscat University, Muscat, Sultanate of Oman
| | | | - Elie Al Ahmar
- Faculty of Arts and Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
- School of Engineering, Holy Spirit University of Kaslik, Kaslik, Lebanon
| | - Elias Estephan
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Faculty of Arts and Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
- LBN, University Montpellier, Montpellier, France
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Liu C, Filbey FM. Unlocking the age-old secrets of reward and substance use. Pharmacol Biochem Behav 2024; 239:173766. [PMID: 38604456 DOI: 10.1016/j.pbb.2024.173766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/25/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
Although substance use is widespread across the lifespan from early adolescence to older adulthood, the prevalence of substance use disorder (SUD) differs between age groups. These age differences in SUD rates necessitate an investigation into how age moderates reward sensitivity, and consequently influences the risks and consequences related to substance use. This theoretical review integrates evidence from the literature to address the dynamic interplay between age and reward in the context of substance use. Overall, increasing evidence demonstrates that age moderates reward sensitivity and underlying reward system neurobiology. Reward sensitivity undergoes a non-linear trajectory across the lifespan. Low levels of reward sensitivity are associated with childhood and late adulthood. In contrast, high levels are associated with early to late adolescence, followed by a decline in the twenties. These fluctuations in reward sensitivity across the lifespan contribute to complex associations with substance use. This lends support to adolescence and young adulthood as vulnerable periods for the risk of subsequent SUD. More empirical research is needed to investigate reward sensitivity during SUD maintenance and recovery. Future research should also involve larger sample sizes and encompass a broader range of age groups, including older adults.
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Affiliation(s)
- Che Liu
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, United States of America.
| | - Francesca M Filbey
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, United States of America
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5
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Beyer E, Poudel G, Antonopoulos S, Thomson H, Lorenzetti V. Brain reward function in people who use cannabis: a systematic review. Front Behav Neurosci 2024; 17:1323609. [PMID: 38379938 PMCID: PMC10877725 DOI: 10.3389/fnbeh.2023.1323609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/18/2023] [Indexed: 02/22/2024] Open
Abstract
Rationale Cannabis is one of the most widely used psychoactive substances globally. Cannabis use can be associated with alterations of reward processing, including affective flattening, apathy, anhedonia, and lower sensitivity to natural rewards in conjunction with higher sensitivity to cannabis-related rewards. Such alterations have been posited to be driven by changes in underlying brain reward pathways, as per prominent neuroscientific theories of addiction. Functional neuroimaging (fMRI) studies have examined brain reward function in cannabis users via the monetary incentive delay (MID) fMRI task; however, this evidence is yet to be systematically synthesised. Objectives We aimed to systematically integrate the evidence on brain reward function in cannabis users examined by the MID fMRI task; and in relation to metrics of cannabis exposure (e.g., dosage, frequency) and other behavioural variables. Method We pre-registered the review in PROSPERO and reported it using PRISMA guidelines. Literature searches were conducted in PsycINFO, PubMed, Medline, CINAHL, and Scopus. Results Nine studies were included, comprising 534 people with mean ages 16-to-28 years, of which 255 were people who use cannabis daily or almost daily, and 279 were controls. The fMRI literature to date led to largely non-significant group differences. A few studies reported group differences in the ventral striatum while participants anticipated rewards and losses; and in the caudate while participants received neutral outcomes. A few studies examined correlations between brain function and withdrawal, dosage, and age of onset; and reported inconsistent findings. Conclusions There is emerging but inconsistent evidence of altered brain reward function in cannabis users examined with the MID fMRI task. Future fMRI studies are required to confirm if the brain reward system is altered in vulnerable cannabis users who experience a Cannabis Use Disorder, as postulated by prominent neuroscientific theories of addiction.
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Affiliation(s)
- Emillie Beyer
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Govinda Poudel
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
- Braincast Neurotechnologies, Melbourne, VIC, Australia
| | - Stephanie Antonopoulos
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Hannah Thomson
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
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Steinfeld MR, Torregrossa MM. Consequences of adolescent drug use. Transl Psychiatry 2023; 13:313. [PMID: 37802983 PMCID: PMC10558564 DOI: 10.1038/s41398-023-02590-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 05/22/2023] [Accepted: 08/23/2023] [Indexed: 10/08/2023] Open
Abstract
Substance use in adolescence is a known risk factor for the development of neuropsychiatric and substance use disorders in adulthood. This is in part due to the fact that critical aspects of brain development occur during adolescence, which can be altered by drug use. Despite concerted efforts to educate youth about the potential negative consequences of substance use, initiation remains common amongst adolescents world-wide. Additionally, though there has been substantial research on the topic, many questions remain about the predictors and the consequences of adolescent drug use. In the following review, we will highlight some of the most recent literature on the neurobiological and behavioral effects of adolescent drug use in rodents, non-human primates, and humans, with a specific focus on alcohol, cannabis, nicotine, and the interactions between these substances. Overall, consumption of these substances during adolescence can produce long-lasting changes across a variety of structures and networks which can have enduring effects on behavior, emotion, and cognition.
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Affiliation(s)
- Michael R Steinfeld
- Department of Psychiatry, University of Pittsburgh, 450 Technology Drive, Pittsburgh, PA, 15219, USA.
- Center for Neuroscience, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15213, USA.
| | - Mary M Torregrossa
- Department of Psychiatry, University of Pittsburgh, 450 Technology Drive, Pittsburgh, PA, 15219, USA
- Center for Neuroscience, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15213, USA
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7
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Ertl N, Lawn W, Mokrysz C, Freeman TP, Alnagger N, Borissova A, Fernandez-Vinson N, Lees R, Ofori S, Petrilli K, Trinci K, Viding E, Curran HV, Wall MB. Associations between regular cannabis use and brain resting-state functional connectivity in adolescents and adults. J Psychopharmacol 2023; 37:904-919. [PMID: 37515469 DOI: 10.1177/02698811231189441] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/30/2023]
Abstract
BACKGROUND/AIM Cannabis use is highly prevalent in adolescents; however, little is known about its effects on adolescent brain function. METHOD Resting-state functional magnetic resonance imaging was used in matched groups of regular cannabis users (N = 70, 35 adolescents: 16-17 years old, 35 adults: 26-29 years old) and non-regular-using controls (N = 70, 35 adolescents/35 adults). Pre-registered analyses examined the connectivity of seven major cortical and sub-cortical brain networks (default mode network, executive control network (ECN), salience network, hippocampal network and three striatal networks) using seed-based analysis methods with cross-sectional comparisons between user groups and age groups. RESULTS The regular cannabis use group (across both age groups), relative to controls, showed localised increases in connectivity only in the ECN analysis. All networks showed localised connectivity differences based on age group, with the adolescents generally showing weaker connectivity than adults, consistent with the developmental effects. Mean connectivity across entire network regions of interest (ROIs) was also significantly decreased in the ECN in adolescents. However, there were no significant interactions found between age group and user group in any of the seed-based or ROI analyses. There were also no associations found between cannabis use frequency and any of the derived connectivity measures. CONCLUSION Regular cannabis use is associated with changes in connectivity of the ECN, which may reflect allostatic or compensatory changes in response to regular cannabis intoxication. However, these associations were not significantly different in adolescents compared to adults.
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Affiliation(s)
- Natalie Ertl
- Invicro London, Hammersmith Hospital, London, UK
- Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, UK
| | - Will Lawn
- Department of Psychology, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
- Department of Addictions, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Naji Alnagger
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Anna Borissova
- Clinical Psychopharmacology Unit, University College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry Psychology and Neuroscience, King's College London, UK
| | | | - Rachel Lees
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Shelan Ofori
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Kat Petrilli
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Katie Trinci
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Essi Viding
- Clinical, Educational, and Health Psychology Research Department, University College London, London, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Matthew B Wall
- Invicro London, Hammersmith Hospital, London, UK
- Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Clinical Psychopharmacology Unit, University College London, London, UK
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8
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Shatalina E, Ashok AH, Wall MB, Nour MM, Myers J, Reis Marques T, Rabiner EA, Howes OD. Reward processing in schizophrenia and its relation to Mu opioid receptor availability and negative symptoms: A [ 11C]-carfentanil PET and fMRI study. Neuroimage Clin 2023; 39:103481. [PMID: 37517175 PMCID: PMC10400918 DOI: 10.1016/j.nicl.2023.103481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 05/17/2023] [Accepted: 07/23/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Reward processing deficits are a core feature of schizophrenia and are thought to underlie negative symptoms. Pre-clinical evidence suggests that opioid neurotransmission is linked to reward processing. However, the contribution of Mu Opioid Receptor (MOR) signalling to the reward processing abnormalities in schizophrenia is unknown. Here, we examined the association between MOR availability and the neural processes underlying reward anticipation in patients with schizophrenia using multimodal neuroimaging. METHOD 37 subjects (18 with Schizophrenia with moderate severity negative symptoms and 19 age and sex-matched healthy controls) underwent a functional MRI scan while performing the Monetary Incentive Delay (MID) task to measure the neural response to reward anticipation. Participants also had a [11C]-carfentanil PET scan to measure MOR availability. RESULTS Reward anticipation was associated with increased neural activation in a widespread network of brain regions including the striatum. Patients with schizophrenia had both significantly lower MOR availability in the striatum as well as striatal hypoactivation during reward anticipation. However, there was no association between MOR availability and striatal neural activity during reward anticipation in either patient or controls (Pearson's Correlation, controls df = 17, r = 0.321, p = 0.18, patients df = 16, r = 0.295, p = 0.24). There was no association between anticipation-related neural activation and negative symptoms (r = -0.120, p = 0.14) or anhedonia severity (social r = -0.365, p = 0.14 physical r = -0.120, p = 0.63). CONCLUSIONS Our data suggest reduced MOR availability in schizophrenia might not underlie striatal hypoactivation during reward anticipation in patients with established illness. Therefore, other mechanisms, such as dopamine dysfunction, warrant further investigation as treatment targets for this aspect of the disorder.
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Affiliation(s)
- Ekaterina Shatalina
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK; Psychiatric Imaging Group, Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK; Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
| | - Abhishekh H Ashok
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK; Psychiatric Imaging Group, Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK; Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK; Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK; Department of Radiology, University of Cambridge, Cambridge, UK
| | - Matthew B Wall
- Invicro, London, UK; Faculty of Medicine, Imperial College London, London, UK; Clinical Psychopharmacology Unit, University College London, London, UK
| | - Matthew M Nour
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK; Wellcome Centre for Human Neuroimaging (WCHN), University College London, London, UK
| | - Jim Myers
- Faculty of Medicine, Imperial College London, London, UK
| | - Tiago Reis Marques
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK; Psychiatric Imaging Group, Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK; Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
| | - Eugenii A Rabiner
- Invicro, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Oliver D Howes
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, London, UK; Psychiatric Imaging Group, Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK; Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK.
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9
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Skumlien M, Freeman TP, Hall D, Mokrysz C, Wall MB, Ofori S, Petrilli K, Trinci K, Borissova A, Fernandez-Vinson N, Langley C, Sahakian BJ, Curran HV, Lawn W. The Effects of Acute Cannabis With and Without Cannabidiol on Neural Reward Anticipation in Adults and Adolescents. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:219-229. [PMID: 36642667 DOI: 10.1016/j.bpsc.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Adolescents may respond differently to cannabis than adults, yet no previous functional magnetic resonance imaging study has examined acute cannabis effects in this age group. In this study, we investigated the neural correlates of reward anticipation after acute exposure to cannabis in adolescents and adults. METHODS This was a double-blind, placebo-controlled, randomized, crossover experiment. Forty-seven adolescents (n = 24, 12 females, ages 16-17 years) and adults (n = 23, 11 females, ages 26-29 years) matched on cannabis use frequency (0.5-3 days/week) completed the Monetary Incentive Delay task during functional magnetic resonance imaging after inhaling cannabis with 0.107 mg/kg Δ⁹-tetrahydrocannabinol ("THC") (8 mg THC for a 75-kg person) or with THC plus 0.320 mg/kg cannabidiol ("THC+CBD") (24 mg CBD for a 75-kg person), or placebo cannabis. We investigated reward anticipation activity with whole-brain analyses and region of interest analyses in the right and left ventral striatum, right and left anterior cingulate cortex, and right insula. RESULTS THC reduced anticipation activity compared with placebo in the right (p = .005, d= 0.49) and left (p = .003, d = 0.50) ventral striatum and the right insula (p = .01, d = 0.42). THC+CBD reduced activity compared with placebo in the right ventral striatum (p = .01, d = 0.41) and right insula (p = .002, d = 0.49). There were no differences between "THC" and "THC+CBD" conditions and no significant drug by age group interaction effect, supported by Bayesian analyses. There were no significant effects in the whole-brain analyses. CONCLUSIONS In weekly cannabis users, cannabis suppresses the brain's anticipatory reward response to money, and CBD does not modulate this effect. Furthermore, the adolescent reward circuitry is not differentially sensitive to acute effects of cannabis on reward anticipation.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom.
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Addiction and Mental Health Group, Department of Psychology, University of Bath, Bath, United Kingdom
| | - Daniel Hall
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Matthew B Wall
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Invicro, London, United Kingdom; Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Shelan Ofori
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Kat Petrilli
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Addiction and Mental Health Group, Department of Psychology, University of Bath, Bath, United Kingdom
| | - Katie Trinci
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Anna Borissova
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Natalia Fernandez-Vinson
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom
| | - Will Lawn
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, United Kingdom; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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10
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Skumlien M, Mokrysz C, Freeman TP, Valton V, Wall MB, Bloomfield M, Lees R, Borissova A, Petrilli K, Giugliano M, Clisu D, Langley C, Sahakian BJ, Curran HV, Lawn W. Anhedonia, Apathy, Pleasure, and Effort-Based Decision-Making in Adult and Adolescent Cannabis Users and Controls. Int J Neuropsychopharmacol 2023; 26:9-19. [PMID: 35999024 PMCID: PMC9850660 DOI: 10.1093/ijnp/pyac056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/27/2022] [Accepted: 08/23/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Cannabis use may be linked with anhedonia and apathy. However, previous studies have shown mixed results, and few have examined the association between cannabis use and specific reward sub-processes. Adolescents may be more vulnerable than adults to harmful effects of cannabis. This study investigated (1) the association between non-acute cannabis use and apathy, anhedonia, pleasure, and effort-based decision-making for reward; and (2) whether these relationships were moderated by age group. METHODS We used data from the "CannTeen" study. Participants were 274 adult (26-29 years) and adolescent (16-17 years) cannabis users (1-7 d/wk use in the past 3 months) and gender- and age-matched controls. Anhedonia was measured with the Snaith-Hamilton Pleasure Scale (n = 274), and apathy was measured with the Apathy Evaluation Scale (n = 215). Effort-based decision-making for reward was measured with the Physical Effort task (n = 139), and subjective wanting and liking of rewards was measured with the novel Real Reward Pleasure task (n = 137). RESULTS Controls had higher levels of anhedonia than cannabis users (F1,258 = 5.35, P = .02, η p2 = .02). There were no other significant effects of user-group and no significant user-group*age-group interactions. Null findings were supported by post hoc Bayesian analyses. CONCLUSION Our results suggest that cannabis use at a frequency of 3 to 4 d/wk is not associated with apathy, effort-based decision-making for reward, reward wanting, or reward liking in adults or adolescents. Cannabis users had lower anhedonia than controls, albeit at a small effect size. These findings are not consistent with the hypothesis that non-acute cannabis use is associated with amotivation.
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Affiliation(s)
- Martine Skumlien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Vincent Valton
- Institute of Cognitive Neuroscience, Division of Psychology and Language Sciences, University College London, London, UK
| | - Matthew B Wall
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | | | - Rachel Lees
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Anna Borissova
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Kat Petrilli
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Manuela Giugliano
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Denisa Clisu
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
| | - Will Lawn
- Clinical Psychopharmacology Unit, Clinical Educational and Health Psychology Department, University College London, London, UK
- Department of Addictions, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK
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11
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Parsons CE, Purves KL, Skelton M, Peel AJ, Davies MR, Rijsdijk F, Bristow S, Eley TC, Breen G, Hirsch CR, Young KS. Different trajectories of depression, anxiety and anhedonia symptoms in the first 12 months of the COVID-19 pandemic in a UK longitudinal sample. Psychol Med 2022; 53:1-11. [PMID: 36468440 DOI: 10.1017/s0033291722003828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
BACKGROUND While studies from the start of the COVID-19 pandemic have described initial negative effects on mental health and exacerbating mental health inequalities, longer-term studies are only now emerging. METHOD In total, 34 465 individuals in the UK completed online questionnaires and were re-contacted over the first 12 months of the pandemic. We used growth mixture modelling to identify trajectories of depression, anxiety and anhedonia symptoms using the 12-month data. We identified sociodemographic predictors of trajectory class membership using multinomial regression models. RESULTS Most participants had consistently low symptoms of depression or anxiety over the year of assessments (60%, 69% respectively), and a minority had consistently high symptoms (10%, 15%). We also identified participants who appeared to show improvements in symptoms as the pandemic progressed, and others who showed the opposite pattern, marked symptom worsening, until the second national lockdown. Unexpectedly, most participants showed stable low positive affect, indicating anhedonia, throughout the 12-month period. From regression analyses, younger age, reporting a previous mental health diagnosis, non-binary, or self-defined gender, and an unemployed or a student status were significantly associated with membership of the stable high symptom groups for depression and anxiety. CONCLUSIONS While most participants showed little change in their depression and anxiety symptoms across the first year of the pandemic, we highlight the divergent responses of subgroups of participants, who fared both better and worse around national lockdowns. We confirm that previously identified predictors of negative outcomes in the first months of the pandemic also predict negative outcomes over a 12-month period.
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Affiliation(s)
- Christine E Parsons
- Department of Clinical Medicine, Interacting Minds Center, Aarhus University, Aarhus, Denmark
| | - Kirstin L Purves
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Megan Skelton
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Alicia J Peel
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Molly R Davies
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Fruhling Rijsdijk
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Shannon Bristow
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Colette R Hirsch
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Katherine S Young
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
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