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Luo D, Liu Y, Zhang N, Wang T. Differences in the distribution of triggers among resting state networks in patients with juvenile myoclonic epilepsy explained by network analysis. Front Neurosci 2023; 17:1214687. [PMID: 37859762 PMCID: PMC10582565 DOI: 10.3389/fnins.2023.1214687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 08/25/2023] [Indexed: 10/21/2023] Open
Abstract
Background Juvenile myoclonus epilepsy (JME) is an idiopathic generalized epilepsy syndrome. Functional connectivity studies based on graph theory have demonstrated changes in functional connectivity among different brain regions in patients with JME and healthy controls. However, previous studies have not been able to clarify why visual stimulation or increased cognitive load induces epilepsy symptoms in only some patients with JME. Methods This study constructed a small-world network for the visualization of functional connectivity of brain regions in patients with JME, based on system mapping. We used the node reduction method repeatedly to identify the core nodes of the resting brain network of patients with JME. Thereafter, a functional connectivity network of the core brain regions in patients with JME was established, and it was analyzed manually with white matter tracks restriction to explain the differences in symptom distribution in patients with JME. Results Patients with JME had 21 different functional connections in their resting state, and no significant differences in their distribution were noted. The thalamus, cerebellum, basal ganglia, supplementary motor area, visual cortex, and prefrontal lobe were the core brain regions that comprised the functional connectivity network in patients with JME during their resting state. The betweenness centrality of the prefrontal lobe and the visual cortex in the core functional connectivity network of patients with JME was lower than that of the other brain regions. Conclusion The functional connectivity and node importance of brain regions of patients with JME changed dynamically in the resting state. Abnormal discharges originating from the thalamus, cerebellum, basal ganglia, supplementary motor area, visual cortex, and prefrontal cortex are most likely to lead to seizures in patients with JME. Further, the low average value of betweenness centrality of the prefrontal and visual cortices explains why visual stimulation or increased cognitive load can induce epileptic symptoms in only some patients with JME.
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Affiliation(s)
- Dadong Luo
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, China
- Second School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Yaqing Liu
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, China
- Second School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Ningning Zhang
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, China
- Second School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Tiancheng Wang
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, China
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2
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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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3
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Wang W, Kang Y, Niu X, Zhang Z, Li S, Gao X, Zhang M, Cheng J, Zhang Y. Connectome-based predictive modeling of smoking severity using individualized structural covariance network in smokers. Front Neurosci 2023; 17:1227422. [PMID: 37547147 PMCID: PMC10400777 DOI: 10.3389/fnins.2023.1227422] [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: 05/23/2023] [Accepted: 07/04/2023] [Indexed: 08/08/2023] Open
Abstract
Introduction Abnormal interactions among distributed brain systems are implicated in the mechanisms of nicotine addiction. However, the relationship between the structural covariance network, a measure of brain connectivity, and smoking severity remains unclear. To fill this gap, this study aimed to investigate the relationship between structural covariance network and smoking severity in smokers. Methods A total of 101 male smokers and 51 male non-smokers were recruited, and they underwent a T1-weighted anatomical image scan. First, an individualized structural covariance network was derived via a jackknife-bias estimation procedure for each participant. Then, a data-driven machine learning method called connectome-based predictive modeling (CPM) was conducted to infer smoking severity measured with Fagerström Test for Nicotine Dependence (FTND) scores using an individualized structural covariance network. The performance of CPM was evaluated using the leave-one-out cross-validation and a permutation testing. Results As a result, CPM identified the smoking severity-related structural covariance network, as indicated by a significant correlation between predicted and actual FTND scores (r = 0.23, permutation p = 0.020). Identified networks comprised of edges mainly located between the subcortical-cerebellum network and networks including the frontoparietal default model and motor and visual networks. Discussion These results identified smoking severity-related structural covariance networks and provided a new insight into the neural underpinnings of smoking severity.
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Pandria N, Athanasiou A, Styliadis C, Terzopoulos N, Mitsopoulos K, Paraskevopoulos E, Karagianni M, Pataka A, Kourtidou-Papadeli C, Makedou K, Iliadis S, Lymperaki E, Nimatoudis I, Argyropoulou-Pataka P, Bamidis PD. Does combined training of biofeedback and neurofeedback affect smoking status, behavior, and longitudinal brain plasticity? Front Behav Neurosci 2023; 17:1096122. [PMID: 36778131 PMCID: PMC9911884 DOI: 10.3389/fnbeh.2023.1096122] [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: 11/11/2022] [Accepted: 01/02/2023] [Indexed: 01/28/2023] Open
Abstract
Introduction: Investigations of biofeedback (BF) and neurofeedback (NF) training for nicotine addiction have been long documented to lead to positive gains in smoking status, behavior and to changes in brain activity. We aimed to: (a) evaluate a multi-visit combined BF/NF intervention as an alternative smoking cessation approach, (b) validate training-induced feedback learning, and (c) document effects on resting-state functional connectivity networks (rsFCN); considering gender and degree of nicotine dependence in a longitudinal design. Methods: We analyzed clinical, behavioral, and electrophysiological data from 17 smokers who completed five BF and 20 NF sessions and three evaluation stages. Possible neuroplastic effects were explored comparing whole-brain rsFCN by phase-lag index (PLI) for different brain rhythms. PLI connections with significant change across time were investigated according to different resting-state networks (RSNs). Results: Improvements in smoking status were observed as exhaled carbon monoxide levels, Total Oxidative Stress, and Fageström scores decreased while Vitamin E levels increased across time. BF/NF promoted gains in anxiety, self-esteem, and several aspects of cognitive performance. BF learning in temperature enhancement was observed within sessions. NF learning in theta/alpha ratio increase was achieved across baselines and within sessions. PLI network connections significantly changed across time mainly between or within visual, default mode and frontoparietal networks in theta and alpha rhythms, while beta band RSNs mostly changed significantly after BF sessions. Discussion: Combined BF/NF training positively affects the clinical and behavioral status of smokers, displays benefit in smoking harm reduction, plays a neuroprotective role, leads to learning effects and to positive reorganization of RSNs across time. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT02991781.
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Affiliation(s)
- Niki Pandria
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Alkinoos Athanasiou
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Charis Styliadis
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Nikos Terzopoulos
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Konstantinos Mitsopoulos
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Evangelos Paraskevopoulos
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece,Department of Psychology, University of Cyprus, Nicosia, Cyprus
| | - Maria Karagianni
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Athanasia Pataka
- Pulmonary Department-Oncology Unit, “G. Papanikolaou” General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Kali Makedou
- Laboratory of Biochemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stavros Iliadis
- Laboratory of Biochemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evgenia Lymperaki
- Department of Biomedical Sciences, International Hellenic University, Thessaloniki, Greece
| | - Ioannis Nimatoudis
- Third Department of Psychiatry, AHEPA University General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Panagiotis D. Bamidis
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece,*Correspondence: Panagiotis D. Bamidis
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Lin X, Zhu X, Zhou W, Zhang Z, Li P, Dong G, Meng S, Deng J, Lu L. Connectome-based predictive modelling of smoking severity in smokers. Addict Biol 2022; 27:e13242. [PMID: 36301219 DOI: 10.1111/adb.13242] [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: 06/06/2022] [Revised: 08/11/2022] [Accepted: 09/27/2022] [Indexed: 01/24/2023]
Abstract
The functional connectivity within and between networks could provide a framework to characterize the neurobiological mechanism of nicotine addiction. This study examined the brain regions that were functionally connected in response to smoking cues and established the brain-behaviour relationships in smokers. Sixty-seven male smokers were enrolled and scanned while performing the cue-reactivity and Stroop task. A whole-brain analysis approach, connectome-based predictive modelling (CPM), was conducted on the data from the cue-reactivity task to identify the networks that could predict the smoking severity with the Shen atlas as templates. Then, the brain-behaviour relationships were verified in a different brain state (Stroop task). CPM identified the smoking severity-related network, as indicated by a significant correlation between predicted and actual smoking severity scores (r = 0.31, p = 0.02). Identified networks mainly involved the canonical networks implicated in the reward process (motor/sensory network and salience network) and executive control (frontoparietal network). Network strength in the Stroop task marginally significantly predicted smoking severity scores (r = 0.23, p = 0.06), partially replicating the brain-behaviour relationship. The CPM results identified the whole-brain neural network related to smoking severity, which was cross-validated by the AAL and Shen atlas. These findings contribute to more profound insights into neural substrates underlying the smoking severity.
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Affiliation(s)
- Xiao Lin
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Ximei Zhu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Weiran Zhou
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Zhibo Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Peng Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Guangheng Dong
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Shiqiu Meng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Jiahui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China.,National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
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6
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Sepe-Forrest L, Kim DJ, Quinn PD, Bolbecker AR, Wisner KM, Hetrick WP, O'Donnell BF. Evidence of familial confounding of the association between cannabis use and cerebellar-cortical functional connectivity using a twin study. Neuroimage Clin 2022; 36:103237. [PMID: 36451348 PMCID: PMC9668648 DOI: 10.1016/j.nicl.2022.103237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 09/26/2022] [Accepted: 10/16/2022] [Indexed: 11/11/2022]
Abstract
Cerebellar-cortical resting-state functional connectivity (rsFC) has been reported to be altered in cannabis users. However, this association may be due to genetic and environmental confounding rather than a causal relationship between cannabis use and changes in rsFC. In this co-twin control study, linear mixed models were used to assess relationships between the number of lifetime cannabis uses (NLCU) and age of cannabis onset (ACO) with cerebellar-cortical rsFC. The rsFC with seven functional networks was evaluated in 147 monozygotic and 82 dizygotic twin pairs. Importantly, the use of genetically informed models in this twin sample facilitated examining whether shared genetic or environmental effects underlie crude associations between cannabis measures and connectivity. Individual-level phenotypic analyses (i.e., accounting for twin-pair non-independence) showed that individuals in the full sample with earlier ACO and higher NLCU had lower cerebellar rsFC within the VA, DA, and FP networks. Yet, there were no significant differences in cerebellar-cortical rsFC between monozygotic twins who were discordant for cannabis measures. These findings suggest shared genetic or environmental confounds contribute to associations between cannabis use and altered cerebellar-cortical rsFC, rather than unique causal impacts of cannabis use on cerebellar-cortical rsFC.
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Affiliation(s)
- Linnea Sepe-Forrest
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Corresponding author-at: Indiana University Bloomington, Department of Psychology, Room A208A, United States.
| | - Dae-Jin Kim
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Patrick D. Quinn
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, United States
| | - Amanda R. Bolbecker
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Krista M. Wisner
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States
| | - William P. Hetrick
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Department of Psychiatry, Indiana University, Indianapolis, IN, United States
| | - Brian F. O'Donnell
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Department of Psychiatry, Indiana University, Indianapolis, IN, United States
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Thomson H, Labuschagne I, Greenwood LM, Robinson E, Sehl H, Suo C, Lorenzetti V. Is resting-state functional connectivity altered in regular cannabis users? A systematic review of the literature. Psychopharmacology (Berl) 2022; 239:1191-1209. [PMID: 34415377 DOI: 10.1007/s00213-021-05938-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 07/13/2021] [Indexed: 12/23/2022]
Abstract
RATIONALE Regular cannabis use has been associated with brain functional alterations within frontal, temporal, and striatal pathways assessed during various cognitive tasks. Whether such alterations are consistently reported in the absence of overt task performance needs to be elucidated to uncover the core neurobiological mechanisms of regular cannabis use. OBJECTIVES We aim to systematically review findings from studies that examine spontaneous fluctuations of brain function using functional Magnetic Resonance Imaging (fMRI) resting-state functional connectivity (rsFC) in cannabis users versus controls, and the association between rsFC and cannabis use chronicity, mental health symptoms, and cognitive performance. METHODS We conducted a PROSPERO registered systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and searched eight databases. RESULTS Twenty-one studies were included for review. Samples comprised 1396 participants aged 16 to 42 years, of which 737 were cannabis users and 659 were controls. Most studies found greater positive rsFC in cannabis users compared to controls between frontal-frontal, fronto-striatal, and fronto-temporal region pairings. The same region pairings were found to be preliminarily associated with varying measures of cannabis exposure. CONCLUSIONS The evidence to date shows that regular cannabis exposure is consistently associated with alteration of spontaneous changes in Blood Oxygenation Level-Dependent signal without any explicit cognitive input or output. These findings have implications for interpreting results from task-based fMRI studies of cannabis users, which may additionally tax overlapping networks. Future longitudinal rsFC fMRI studies are required to determine the clinical relevance of the findings and their link to the chronicity of use, mental health, and cognitive performance.
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Affiliation(s)
- Hannah Thomson
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health, Australian Catholic University, 17 Young Street, Fitzroy, VIC, 3065, Australia
| | - Izelle Labuschagne
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health, Australian Catholic University, 17 Young Street, Fitzroy, VIC, 3065, Australia
| | - Lisa-Marie Greenwood
- Research School of Psychology, Australian National University, Canberra, Australian Capital Territory, Australia.,The Australian Centre for Cannabinoid Clinical and Research Excellence (ACRE), New Lambton Heights, NSW, Australia
| | - Emily Robinson
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health, Australian Catholic University, 17 Young Street, Fitzroy, VIC, 3065, Australia
| | - Hannah Sehl
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health, Australian Catholic University, 17 Young Street, Fitzroy, VIC, 3065, Australia
| | - Chao Suo
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health, Australian Catholic University, 17 Young Street, Fitzroy, VIC, 3065, Australia.
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8
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Rafei P, Rezapour T, Batouli SAH, Verdejo-García A, Lorenzetti V, Hatami J. How do cannabis users mentally travel in time? Evidence from an fMRI study of episodic future thinking. Psychopharmacology (Berl) 2022; 239:1441-1457. [PMID: 34694424 DOI: 10.1007/s00213-021-06002-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 10/11/2021] [Indexed: 11/30/2022]
Abstract
RATIONALE Episodic future thinking (EFT) is a cognitive function that allows individuals to imagine novel experiences that may happen in the future. Prior studies show that EFT is impaired in different groups of substance users. However, there is no evidence regarding the neurobiological mechanisms of EFT in cannabis users. OBJECTIVES We aimed to compare brain activations of regular cannabis users and non-using controls during an EFT fMRI task. Exploratory analyses were also conducted to investigate the association between EFT and cannabis use variables (e.g., duration of use, age onset, frequency of use). METHODS Twenty current cannabis users and 22 drug-naïve controls underwent an fMRI scanning session while completing a task involving envisioning future-related events and retrieval of past memories as a control condition. The EFT fMRI task was adapted from the autobiographical interview and composed of 20 auditory cue sentences (10 cues for past and 10 cues for future events). Participants were asked to recall a past or generate a future event, in response to the cues, and then rate their vividness after each response. RESULTS We found that cannabis users compared to non-user controls had lower activation within the cerebellum, medial and superior temporal gyrus, lateral occipital cortex, and occipital fusiform gyrus while envisioning future events. Cannabis users rated the vividness of past events significantly lower than non-users (P < 0.005). There were marginal group differences for rating the vividness of future events (P = 0.052). Significant correlations were also found between the medial and superior temporal gyrus activities and behavioral measures of EFT and episodic memory. CONCLUSIONS Cannabis users, compared to drug-naïve controls, have lower brain activation in EFT relevant regions. Thus, any attempts to improve aberrant EFT performance in cannabis users may benefit from EFT training.
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Affiliation(s)
- Parnian Rafei
- Department of Psychology, Faculty of Psychology and Education, University of Tehran, Tehran, Iran
| | - Tara Rezapour
- Department of Cognitive Psychology, Institute of Cognitive Sciences Studies (ICSS), Tehran, Iran
| | - Seyed Amir Hossein Batouli
- Department of Neuroscience and Addiction Studies, School of Advanced Medical Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Antonio Verdejo-García
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Valentina Lorenzetti
- Healthy Brain and Mind Research Centre, School of Behavioral & Health Sciences, Neuroscience of Addiction and Mental Health Program, Australian Catholic University, Victoria, Australia
| | - Javad Hatami
- Department of Psychology, Faculty of Psychology and Education, University of Tehran, Tehran, Iran.
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Cai Z, Wang P, Liu B, Zou Y, Wu S, Tian J, Dan G, Ma J, Wu G, Zhang J, Huang B. To explore the mechanism of tobacco addiction using structural and functional MRI: a preliminary study of the role of the cerebellum-striatum circuit. Brain Imaging Behav 2022; 16:834-842. [PMID: 34606038 DOI: 10.1007/s11682-021-00546-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2021] [Indexed: 10/20/2022]
Abstract
Previous studies have found that the striatum and the cerebellum played important roles in nicotine dependence, respectively. In heavy smokers, however, the effect of resting-state functional connectivity of cerebellum-striatum circuits in nicotine dependence remained unknown. This study aimed to explore the role of the circuit between the striatum and the cerebellum in addiction in heavy smokers using structural and functional magnetic resonance imaging. The grey matter volume differences and the resting-state functional connectivity differences in cerebellum-striatum circuits were investigated between 23 heavy smokers and 23 healthy controls. The cigarette dependence in heavy smokers and healthy controls were evaluated by using Fagerström Test. Then, we applied mediation analysis to test whether the resting-state functional connectivity between the striatum and the cerebellum mediates the relationship between the striatum morphometry and the nicotine dependence in heavy smokers. Compared with healthy controls, the heavy smokers' grey matter volumes decreased significantly in the cerebrum (bilateral), and increased significantly in the caudate (bilateral). Seed-based resting-state functional connectivity analysis showed significantly higher resting-state functional connectivity among the bilateral caudate, the left cerebellum, and the right middle temporal gyrus in heavy smokers. The cerebellum-striatum resting-state functional connectivity fully mediated the relationship between the striatum morphometry and the nicotine dependence in heavy smokers. Heavy smokers showed abnormal interactions and functional connectivity between the striatum and the cerebellum, which were associated with the striatum morphometry and nicotine dependence. Such findings could provide new insights into the neural correlates of nicotine dependence in heavy smokers.
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Affiliation(s)
- Zongyou Cai
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
| | - Panying Wang
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China
- Shenzhen University International Cancer Center, Shenzhen, China
| | - Bihua Liu
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China
| | - Yujian Zou
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
| | - Songxiong Wu
- Radiology Department, Dongguan People's Hospital, Dongguan, China
| | - Junru Tian
- Radiology Department, Dongguan People's Hospital, Dongguan, China
| | - Guo Dan
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Jinting Ma
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
| | - Guangyao Wu
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China.
- Shenzhen University International Cancer Center, Shenzhen, China.
| | - Jian Zhang
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China.
- Health Science Center, Shenzhen University, Shenzhen, China.
| | - Bingsheng Huang
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China.
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China.
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10
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Yüncü Z, Cakmak Celik Z, Colak C, Thapa T, Fornito A, Bora E, Kitis O, Zorlu N. Resting state functional connectivity in adolescent synthetic cannabinoid users with and without attention-deficit/hyperactivity disorder. Hum Psychopharmacol 2021; 36:e2781. [PMID: 33675677 DOI: 10.1002/hup.2781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 02/11/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Synthetic cannabinoids (SCs) have become increasingly popular in recent years, especially among adolescents. The first aim of the current study was to examine resting-state functional connectivity (rsFC) in SC users compared to controls. Our second aim was to examine the influence of comorbid attention-deficit/hyperactivity disorder (ADHD) symptomatology on rsFC changes in SC users compared to controls. METHODS Resting-state functional magnetic resonance imaging (fMRI) analysis included 25 SC users (14 without ADHD and 11 with ADHD combined type) and 12 control subjects. RESULTS We found (i) higher rsFC between the default mode network (DMN) and salience network, dorsal attention network and cingulo-opercular network, and (ii) lower rsFC within the DMN and between the DMN and visual network in SC users compared to controls. There were no significant differences between SC users with ADHD and controls, nor were there any significant differences between SC users with and without ADHD. CONCLUSIONS We found the first evidence of abnormalities within and between resting state networks in adolescent SC users without ADHD. In contrast, SC users with ADHD showed no differences compared to controls. These results suggest that comorbidity of ADHD and substance dependence may show different rsFC alterations than substance use alone.
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Affiliation(s)
- Zeki Yüncü
- Department of Child Psychiatry, Ege University School of Medicine, Izmir, Turkey
| | | | - Ciğdem Colak
- Department of Psychiatry, Cigli Regional Training Hospital, Izmir, Turkey
| | - Tribikram Thapa
- Brain & Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Victoria, Australia
| | - Alex Fornito
- Brain & Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Victoria, Australia
| | - Emre Bora
- Department of Psychiatry, Dokuz Eylül University Medical School, Izmir, Turkey
| | - Omer Kitis
- Department of Radiodiagnostics, Ege University School of Medicine, Izmir, Turkey
| | - Nabi Zorlu
- Department of Psychiatry, Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey
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11
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Debenham J, Birrell L, Champion K, Lees B, Yücel M, Newton N. Neuropsychological and neurophysiological predictors and consequences of cannabis and illicit substance use during neurodevelopment: a systematic review of longitudinal studies. THE LANCET. CHILD & ADOLESCENT HEALTH 2021; 5:589-604. [PMID: 33991473 DOI: 10.1016/s2352-4642(21)00051-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/07/2021] [Accepted: 02/08/2021] [Indexed: 11/17/2022]
Abstract
Adolescence and early adulthood are crucial periods of neurodevelopment characterised by functional, structural, and cognitive maturation, which helps prepare young people for adulthood. This systematic review of longitudinal studies aims to delineate neural predictors from neural consequences of cannabis and illicit substance use, as well as investigate the potential for the developing brain (at ages 10-25 years) to recover after damage. Five databases were searched to yield a total of 38 eligible studies, with some assessing multiple outcome techniques, including 22 neuroimaging, two neurophysiological, and 22 neuropsychological findings. High-quality evidence suggested that delayed or irregular neurodevelopment in executive functioning, particularly emotional perception, might predispose young people to higher frequency substance use. There was evidence of functional, structural, and cognitive deficits proceeding substance use, with harm potentially dependent on the frequency of use and recovery potentially dependent on the duration of use. Identifying aberrant neurodevelopment in young people is crucial for preventing substance use-related harm.
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Affiliation(s)
- Jennifer Debenham
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, NSW, Australia.
| | - Louise Birrell
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, NSW, Australia
| | - Katrina Champion
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, NSW, Australia
| | - Briana Lees
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, NSW, Australia
| | - Murat Yücel
- Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, VIC, Australia
| | - Nicola Newton
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, NSW, Australia
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12
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Zhang J, Chen S, Jiang Q, Dong H, Zhao Z, Du X, Dong GH. Disturbed craving regulation to gaming cues in internet gaming disorder: Implications for uncontrolled gaming behaviors. J Psychiatr Res 2021; 140:250-259. [PMID: 34119910 DOI: 10.1016/j.jpsychires.2021.05.051] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/03/2021] [Accepted: 05/21/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND The ability to control craving for games is very important to abstain from Internet gaming disorder (IGD) and abundant clinical evidence has suggested that craving dysregulation is the essential pathogenesis for IGD. However, the neural mechanism underlying this feature remains unclear. METHODS Subjective evaluation and fMRI data from 44 participants (IGD participants: 21; recreational Internet game users (RGUs): 23) were collected while they were performing a regulation of craving task. We analyzed and compared their brain features while they regulated cravings to gaming stimuli. RESULTS Compared to RGUs, IGD participants showed enhanced brain activation in the right anterior cingulate cortex, posterior cingulate cortex (PCC), orbitofrontal cortex and middle temporal gyrus and in the left dorsolateral prefrontal cortex and thalamus during the regulation of craving task. Generalized psychophysiological interaction (gPPI) analysis revealed that IGD participants showed decreased functional connectivity between the right PCC and right inferior parietal lobule compared to that in RGU participants. CONCLUSIONS The results suggested that deficits of craving regulation in IGD participant were associated with the imbalanced coordination between the reward network and the executive network. Enhanced game-seeking motivation and disturbed executive control are responsible for craving dysregulation in IGD participants. These findings suggest a biological mechanism for IGD that may help in finding potential interventions.
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Affiliation(s)
- Jialin Zhang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; State Key Laboratory of Cognitive Neuroscience and Learning, Bejing Normal University, Beijing, China
| | - Shuaiyu Chen
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Qing Jiang
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Zhen Zhao
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
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13
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Martin AMS, Kim DJ, Newman SD, Cheng H, Hetrick WP, Mackie K, O’Donnell BF. Altered cerebellar-cortical resting-state functional connectivity in cannabis users. J Psychopharmacol 2021; 35:823-832. [PMID: 34034553 PMCID: PMC8813046 DOI: 10.1177/02698811211019291] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Cannabis use has been associated with abnormalities in cerebellar mediated motor and non-motor (i.e. cognition and personality) phenomena. Since the cerebellum is a region with high cannabinoid type 1 receptor density, these impairments may reflect alterations of signaling between the cerebellum and other brain regions. AIMS We hypothesized that cerebellar-cortical resting-state functional connectivity (rsFC) would be altered in cannabis users, relative to their non-using peers. It was also hypothesized that differences in rsFC would be associated with cannabis use features, such as age of initiation and lifetime use. METHODS Cerebellar-cortical and subcortical rsFCs were computed between 28 cerebellar lobules, defined by a spatially unbiased atlas template of the cerebellum, and individual voxels in the cerebral regions, in 41 regular cannabis users (20 female) and healthy non-using peers (N = 31; 18 female). We also investigated associations between rsFC and cannabis use features (e.g. lifetime cannabis use and age of initiation). RESULTS Cannabis users demonstrated hyperconnectivity between the anterior cerebellar regions (i.e. lobule I-IV) with the posterior cingulate cortex, and hypoconnectivity between the rest of the cerebellum (i.e. Crus I and II, lobule VIIb, VIIIa, VIIIb, IX, and X) and the cortex. No associations were observed between features of cannabis use and rsFC. CONCLUSIONS Cannabis use was associated with altered patterns of rsFC from the cerebellum to the cerebral cortex which may have a downstream impact on behavior and cognition.
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Affiliation(s)
- Ashley M Schnakenberg Martin
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA,Psychology Service, VA Connecticut Healthcare System, West Haven, CT, USA,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Dae-Jin Kim
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA
| | - Sharlene D Newman
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA
| | - Hu Cheng
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA
| | - William P Hetrick
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ken Mackie
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Brian F O’Donnell
- Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University, Bloomington, IN, USA,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
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14
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Ritchay MM, Huggins AA, Wallace AL, Larson CL, Lisdahl KM. Resting state functional connectivity in the default mode network: Relationships between cannabis use, gender, and cognition in adolescents and young adults. Neuroimage Clin 2021; 30:102664. [PMID: 33872994 PMCID: PMC8080071 DOI: 10.1016/j.nicl.2021.102664] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Cannabis is the most commonly used illicit substance in the United States, and nearly 1 in 4 young adults are current cannabis users. Chronic cannabis use is associated with changes in resting state functional connectivity (RSFC) in the default mode network (DMN) in adolescents and young adults; results are somewhat inconsistent across studies, potentially due to methodological differences. The aims of the present study were to examine potential differences in DMN RSFC between cannabis users and controls, and to examine, as an exploratory analysis, if gender moderated any findings. We further examined whether differences in RSFC related to differences in performance on selected neuropsychological measures. MATERIALS AND METHODS Seventy-seven 16-26-year-old participants underwent an MRI scan (including resting state scan), neuropsychological battery, toxicology screening, and drug use interview. Differences in DMN connectivity were examined between groups (cannabis vs. control) and with an exploratory group by gender interaction, using a left posterior cingulate cortex (PCC) seed-based analysis conducted in AFNI. RESULTS Cannabis users demonstrated weaker connectivity than controls between the left PCC and various DMN nodes, and the right Rolandic operculum/Heschl's gyrus. Cannabis users demonstrated stronger connectivity between the left PCC and the cerebellum and left supramarginal gyrus. The group by gender interaction was not significantly associated with connectivity differences. Stronger left PCC-cerebellum connectivity was associated with poorer performance on cognitive measures in cannabis users. In controls, intra-DMN connectivity was positively correlated with performance on a speeded selective/sustained attention measure. DISCUSSION Consistent with our hypotheses and other studies, cannabis users demonstrated weaker connectivity between the left PCC and DMN nodes. Chronic THC exposure may alter GABA and glutamate concentrations, which may alter brain communication. Future studies should be conducted with a larger sample size and examine gender differences and the mechanism by which these differences may arise.
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Affiliation(s)
- Megan M Ritchay
- University of Wisconsin-Milwaukee, Department of Psychology, 2441 E. Hartford Ave Garland 224, Milwaukee, 53211 WI, USA
| | - Ashley A Huggins
- University of Wisconsin-Milwaukee, Department of Psychology, 2441 E. Hartford Ave Garland 224, Milwaukee, 53211 WI, USA
| | - Alexander L Wallace
- University of Wisconsin-Milwaukee, Department of Psychology, 2441 E. Hartford Ave Garland 224, Milwaukee, 53211 WI, USA
| | - Christine L Larson
- University of Wisconsin-Milwaukee, Department of Psychology, 2441 E. Hartford Ave Garland 224, Milwaukee, 53211 WI, USA
| | - Krista M Lisdahl
- University of Wisconsin-Milwaukee, Department of Psychology, 2441 E. Hartford Ave Garland 224, Milwaukee, 53211 WI, USA.
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15
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Laviolette SR. Exploring the impact of adolescent exposure to cannabinoids and nicotine on psychiatric risk: insights from translational animal models. Psychol Med 2021; 51:940-947. [PMID: 31801641 DOI: 10.1017/s0033291719003325] [Citation(s) in RCA: 6] [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: 11/07/2022]
Abstract
Adolescence represents a highly sensitive period of mammalian neurodevelopment wherein critical synaptic and structural changes are taking place in brain regions involved in cognition, self-regulation and emotional processing. Importantly, neural circuits such as the mesocorticolimbic pathway, comprising the prefrontal cortex, sub-cortical mesolimbic dopamine system and their associated input/output centres, are particularly vulnerable to drug-related insults. Human adolescence represents a life-period wherein many individuals first begin to experiment with recreational drugs such as nicotine and cannabis, both of which are known to profoundly modulate neurochemical signalling within the mesocorticolimbic pathway and to influence both long-term and acute neuropsychiatric symptoms. While a vast body of epidemiological clinical research has highlighted the effects of adolescent exposure to drugs such as nicotine and cannabis on the developing adolescent brain, many of these studies are limited to correlative analyses and rely on retrospective self-reports from subjects, making causal interpretations difficult to discern. The use of pre-clinical animal studies can avoid these issues by allowing for precise temporal and dose-related experimental control over drug exposure during adolescence. In addition, such animal-based research has the added advantage of allowing for in-depth molecular, pharmacological, genetic and neuronal analyses of how recreational drug exposure may set up the brain for neuropsychiatric risk. This review will explore some of the advantages and disadvantages of these models, with a focus on the common, divergent and synergistic effects of adolescent nicotine and cannabis exposure on neuropsychiatric risk.
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Affiliation(s)
- Steven R Laviolette
- Addiction Research Group, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, CanadaN6A3K7
- Department of Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, CanadaN6A3K7
- Department of Psychiatry, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, CanadaN6A3K7
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16
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Hammond CJ, Wu J, Krishnan-Sarin S, Mayes LC, Potenza MN, Crowley MJ. Co-occurring tobacco and cannabis use in adolescents: Dissociable relationships with mediofrontal electrocortical activity during reward feedback processing. Neuroimage Clin 2021; 30:102592. [PMID: 33667977 PMCID: PMC7932890 DOI: 10.1016/j.nicl.2021.102592] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 12/11/2020] [Accepted: 02/05/2021] [Indexed: 12/01/2022]
Abstract
Differences in corticostriatal neural activity during feedback processing of rewards and losses have been separately related to cannabis and tobacco use but remain understudied relative to co-use in adolescents. Using high-density EEG (128 electrode system, 1000 Hz sampling), we examined event-related potentials (ERPs) elicited by monetary reward, neutral, and loss feedback during performance on a non-learning four-choice guessing task in a sample of non-deprived daily-cigarette-smoking adolescents (n = 36) who used tobacco and cannabis regularly (TC adolescents), and non-smoking healthy control adolescents (HCs) (n = 29). Peak amplitudes and latencies of mediofrontal ERPs indexing feedback-related negativities (FRNs) were used as outcomes in repeated-measures ANOVAs. No differences in FRNs were observed between TC and HC adolescents. Within TC adolescents, cannabis-use and tobacco-use variables had distinct relationships with the FRN, with cannabis-related problem severity being positively correlated with FRN amplitude during reward feedback and tobacco-related problem severity being negatively correlated with FRN latency during non-loss feedback (i.e., reward and neutral). These findings suggest that co-occurring cannabis and tobacco use may have dissociable relationships with feedback processing relating to each drug and support an incentive salience model of addiction severity related to cannabis use in adolescents.
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Affiliation(s)
- Christopher J Hammond
- Division of Child & Adolescent Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Behavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Child Study Center, Yale University School of Medicine, New Haven, CT, United States.
| | - Jia Wu
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States
| | | | - Linda C Mayes
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States
| | - Marc N Potenza
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Department of Neuroscience, Yale University, New Haven, CT, United States; Connecticut Council on Problem Gambling, Wethersfield, CT, United States; Connecticut Mental Health Center, New Haven, CT, United States
| | - Michael J Crowley
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
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17
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Sweigert J, Pagulayan K, Greco G, Blake M, Larimer M, Kleinhans NM. A multimodal investigation of cerebellar integrity associated with high-risk cannabis use. Addict Biol 2020; 25:e12839. [PMID: 31814242 DOI: 10.1111/adb.12839] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 07/30/2019] [Accepted: 09/08/2019] [Indexed: 11/28/2022]
Abstract
With legalization efforts across the United States, cannabis use is becoming increasingly mainstream. Various studies have documented the effects of acute and chronic cannabis use on brain structure and cognitive performance, including within the frontal executive control network, but little attention has been given to the effects on the cerebellum. Recent evidence increasingly points to the role of the cerebellum in various nonmotor networks, and the cerebellum's expression of cannabinoid receptors may pose particular vulnerabilities to the consequences of cannabis use. Using a combined approach of resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), the present study aims to assess how cannabis use relates to the cerebellum's intrinsic functional connectivity and underlying white matter structure and whether these properties are associated with craving or severity of cannabis use. Resting-state fMRI and DTI data, as well as self-reports of substance use history, were analyzed from a sample of 26 adults at risk for cannabis use disorder (CUD) and an age- and sex-matched comparison group of 25 cannabis-naïve adults (control). Results demonstrated that individuals at risk for a CUD showed key differences in cerebellar functional connectivity, with specific impacts on the dorsal attention and default mode networks. In addition, group differences in white matter were localized to the middle cerebellar peduncle (MCP), with a relationship between lower MCP diffusivity and higher levels of self-reported craving. These findings lend further support to the cerebellum's role in key cognitive networks and potential consequences for substance use disorders.
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Affiliation(s)
- Julia Sweigert
- Department of Radiology University of Washington Seattle Washington
- Integrated Brain Imaging Center University of Washington Seattle Washington
| | - Kathleen Pagulayan
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington
- VA Northwest Network Mental Illness, Research, Education, and Clinical Center (MIRECC) VA Puget Sound Health Care System Seattle Washington
| | - Gabriella Greco
- Department of Radiology University of Washington Seattle Washington
- Integrated Brain Imaging Center University of Washington Seattle Washington
| | - Matthew Blake
- Department of Radiology University of Washington Seattle Washington
- Integrated Brain Imaging Center University of Washington Seattle Washington
| | - Mary Larimer
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington
| | - Natalia M. Kleinhans
- Department of Radiology University of Washington Seattle Washington
- Integrated Brain Imaging Center University of Washington Seattle Washington
- Center on Human Development and Disability University of Washington Seattle Washington
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18
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Ma L, Hettema JM, Cousijn J, Bjork JM, Steinberg JL, Keyser-Marcus L, Woisard K, Lu Q, Roberson-Nay R, Abbate A, Moeller FG. Resting-State Directional Connectivity and Anxiety and Depression Symptoms in Adult Cannabis Users. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:545-555. [PMID: 33388293 DOI: 10.1016/j.bpsc.2020.09.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 09/26/2020] [Accepted: 09/28/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Anxiety and depression symptoms are common among cannabis users and could be a risk factor for cannabis use (CU) disorder. Thus, it is critical to understand the neuronal circuits underlying the associations between CU and these symptoms. Alterations in resting-state functional connectivity within and/or between the default mode network and salience network have been reported in CU, anxiety, and depressive disorders and thus could be a mechanism underlying the associations between CU disorder and anxiety/depression symptoms. METHODS Using resting-state functional magnetic resonance imaging, effective connectivities (ECs) among 9 major nodes from the default mode network and salience network were measured using dynamic causal modeling in 2 datasets: the Human Connectome Project (28 CU participants and 28 matched non-drug-using control participants) and a local CU study (21 CU participants and 21 matched non-drug-using control participants) in separate and parallel analyses. RESULTS Relative to the control participants, right amygdala to left amygdala, anterior cingulate cortex to left amygdala, and medial prefrontal cortex to right insula ECs were greater, and left insula to left amygdala EC was smaller in the CU group. Each of these ECs showed a reliable linear relationship with at least one of the anxiety/depression measures. Most findings on the right amygdala to left amygdala EC were common to both datasets. CONCLUSIONS Right amygdala to left amygdala and anterior cingulate cortex to left amygdala ECs may be related to the close associations between CU and anxiety/depression symptoms. The findings on the medial prefrontal cortex to right insula and left insula to left amygdala ECs may reflect a compensatory mechanism.
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Affiliation(s)
- Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Radiology, Virginia Commonwealth University, Richmond, Virginia.
| | - John M Hettema
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Texas A&M University Health Science Center, Bryan, Texas
| | - Janna Cousijn
- Neuroscience of Addiction lab, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - James M Bjork
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Lori Keyser-Marcus
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Kyle Woisard
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia
| | - QiQi Lu
- Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia
| | - Roxann Roberson-Nay
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Antonio Abbate
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - F Gerard Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia; Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, Virginia; Department of Neurology, Virginia Commonwealth University, Richmond, Virginia
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Pandria N, Athanasiou A, Konstantara L, Karagianni M, Bamidis PD. Advances in biofeedback and neurofeedback studies on smoking. Neuroimage Clin 2020; 28:102397. [PMID: 32947225 PMCID: PMC7502375 DOI: 10.1016/j.nicl.2020.102397] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/02/2020] [Accepted: 08/19/2020] [Indexed: 11/19/2022]
Abstract
Smoking is a leading cause of morbidity and premature death constituting a global health challenge. Although, pharmacological and behavioral approaches comprise the mainstay of smoking cessation interventions, the efficacy and safety of pharmacotherapy is not demonstrated for some populations. Non-pharmacological approaches, such as biofeedback (BF) and neurofeedback (NF) could facilitate self-regulation of predisposing factors of relapse such as craving and stress. The current review aims to aggregate the existing evidence regarding the effects of BF and NF training on smokers. Relevant studies were identified through searching in Scopus, PubMed and Cochrane Library, and through hand-searching the references of screened articles. Peer-reviewed controlled and uncontrolled studies, where BF and/or NF training was administered, were included and evaluated according to PICOS framework. Narrative qualitative synthesis of ten eligible studies was performed, aggregated into three categories according to training provided. BF outcomes seem to be affected by smoking behavior prior to training; individualized EEG NF training holds promise for modulating craving-related response while minimizing the required number of sessions. Real-time fMRI NF studies concluded that nicotine-dependent individuals could modulate craving-related brain responses, while mixed results were revealed regarding smokers' ability to modulate brain responses related to resistance towards the urge to smoke. BF and NF training seem to facilitate modulation of autonomous and/or central nervous system activity while also transferring this learned self-regulation to behavioral outcomes. BF and NF training should a) address remaining issues on specificity and scientific validity, b) target diverse demographics, and c) produce robust reproducible methodologies and clinical guidelines for relevant health care providers, in order to be considered as viable complementary tools to standard smoking cessation care.
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Affiliation(s)
- N Pandria
- Lab of Medical Physics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece; Northern Greece Neurofeedback Center, Thessaloniki, Greece.
| | - A Athanasiou
- Lab of Medical Physics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.
| | - L Konstantara
- Lab of Medical Physics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.
| | - M Karagianni
- Lab of Medical Physics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.
| | - P D Bamidis
- Lab of Medical Physics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.
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Kallianpur KJ, Birn R, Ndhlovu LC, Souza SA, Mitchell B, Paul R, Chow DC, Kohorn L, Shikuma CM. Impact of Cannabis Use on Brain Structure and Function in Suppressed HIV Infection. JOURNAL OF BEHAVIORAL AND BRAIN SCIENCE 2020; 10:344-370. [PMID: 32968547 DOI: 10.4236/jbbs.2020.108022] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
BACKGROUND Brain atrophy and cognitive deficits persist among individuals with suppressed HIV disease. The impact of cannabis use is unknown. METHODS HIV+ and HIV- participants underwent cross-sectional magnetic resonance imaging and neuropsychological testing. Lifetime frequency, duration (years), and recency of cannabis use were self-reported. Relationships of cannabis use to resting-state functional connectivity (RSFC) and to 9 regional brain volumes were assessed with corrections for multiple comparisons. Peripheral blood cytokines and monocyte subsets were measured in the HIV+ group and examined in relation to cannabis exposure. RESULTS We evaluated 52 HIV+ [50.8 ± 7.1 years old; 100% on antiretroviral therapy ≥ 3 months; 83% with plasma viral load < 50 copies/mL] and 55 HIV- [54.0 ± 7.5 years old] individuals. Among HIV+ participants, recent cannabis use (within 12 months) was associated with diminished RSFC, including of occipital cortex, controlling for age. Duration of use correlated negatively with volumes of all regions (most strikingly the nucleus accumbens) independently of recent use and intracranial volume. Recent use was associated with larger caudate and white matter volumes and lower soluble vascular cell adhesion molecule-1 and monocyte chemoattractant protein-1 concentrations. Duration of use correlated positively with psychomotor speed. Use > 10 times/lifetime was linked to more somatic symptoms, better executive function, and lower CD14+CD16++ monocyte count. CONCLUSION HIV+ individuals demonstrated opposing associations with cannabis. Recent use may weaken RSFC and prolonged consumption may exacerbate atrophy of the accumbens and other brain regions. More frequent or recent cannabis use may reduce the inflammation and CD14+CD16++ monocytes that facilitate HIV neuroinvasion. HIV-specific cannabis studies are necessary.
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Affiliation(s)
- Kalpana J Kallianpur
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii-Manoa, Honolulu, HI, USA
- Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, HI, USA
- Hawaii Center for AIDS, University of Hawaii-Manoa, Honolulu, HI, USA
| | - Rasmus Birn
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Lishomwa C Ndhlovu
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii-Manoa, Honolulu, HI, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Scott A Souza
- Hawaii Center for AIDS, University of Hawaii-Manoa, Honolulu, HI, USA
- The Queen's Medical Center, Honolulu, HI, USA
| | - Brooks Mitchell
- Hawaii Center for AIDS, University of Hawaii-Manoa, Honolulu, HI, USA
| | - Robert Paul
- Missouri Institute of Mental Health, University of Missouri-St Louis, St. Louis, MO, USA
| | - Dominic C Chow
- Hawaii Center for AIDS, University of Hawaii-Manoa, Honolulu, HI, USA
| | - Lindsay Kohorn
- Hawaii Center for AIDS, University of Hawaii-Manoa, Honolulu, HI, USA
| | - Cecilia M Shikuma
- Hawaii Center for AIDS, University of Hawaii-Manoa, Honolulu, HI, USA
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21
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Cabeen RP, Allman JM, Toga AW. THC Exposure is Reflected in the Microstructure of the Cerebral Cortex and Amygdala of Young Adults. Cereb Cortex 2020; 30:4949-4963. [PMID: 32377689 DOI: 10.1093/cercor/bhaa087] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
The endocannabinoid system serves a critical role in homeostatic regulation through its influence on processes underlying appetite, pain, reward, and stress, and cannabis has long been used for the related modulatory effects it provides through tetrahydrocannabinol (THC). We investigated how THC exposure relates to tissue microstructure of the cerebral cortex and subcortical nuclei using computational modeling of diffusion magnetic resonance imaging data in a large cohort of young adults from the Human Connectome Project. We report strong associations between biospecimen-defined THC exposure and microstructure parameters in discrete gray matter brain areas, including frontoinsular cortex, ventromedial prefrontal cortex, and the lateral amygdala subfields, with independent effects in behavioral measures of memory performance, negative intrusive thinking, and paternal substance abuse. These results shed new light on the relationship between THC exposure and microstructure variation in brain areas related to salience processing, emotion regulation, and decision making. The absence of effects in some other cannabinoid-receptor-rich brain areas prompts the consideration of cellular and molecular mechanisms that we discuss. Further studies are needed to characterize the nature of these effects across the lifespan and to investigate the mechanistic neurobiological factors connecting THC exposure and microstructural parameters.
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Affiliation(s)
- Ryan P Cabeen
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA 90033, USA
| | - John M Allman
- Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA 90033, USA
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22
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Sami MB, McCutcheon RA, Ettinger U, Williams S, Lythgoe D, McGuire P, Bhattacharyya S. Cannabis Use Linked to Altered Functional Connectivity of the Visual Attentional Connectivity in Patients With Psychosis and Controls. ACTA ACUST UNITED AC 2020. [DOI: 10.1093/schizbullopen/sgaa018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Background
Both chronic cannabis use and psychotic disorders are associated with abnormalities in visual attentional processing. Using functional magnetic resonance imaging (fMRI), we sought to determine whether there would be a difference in functional connectivity in patients and controls with and without a history of cannabis use in the visual and dorsal attention networks.
Methods
Resting-state fMRI data were acquired in patients with early psychosis with (EPC = 29) and without (EPNC = 25); and controls with (HCC = 16) and without (HCNC = 22) cannabis use.
Results
There was a patient effect in both Visual-Dorsal Attention Internetwork (F(1,87) = 5.326, P = .023) and the Visual Network (F(1,87) = 4.044, P = .047) and a cannabis effect in the Dorsal Attention Network (F(1,87) = 4.773, P = .032). These effects were specific to the networks examined with no evidence for significant patient or cannabis effects in other canonical networks. Patients with a history of cannabis use showed increased connectivity in the Dorsal Attention Network (134%, P = .019) and Visual Dorsal Attention Internetwork (285%, P = .036) compared to non-using controls. In the EPC group connectivity of the Visual Network (ρ = 0.379, P = .042) and Visual-Dorsal Attention Internetwork (ρ = 0.421, P = .023) correlated with visual hallucinations which were significantly different from EPNC (P = .011). Dorsal attention network strength correlated with severity of dependence for cannabis (ρ = 0.215, P = .04).
Conclusion
We demonstrate specific cannabis and patient effects in networks associated with visual attentional processing. There is a differential association with hallucinatory symptoms in patients with and without a history of cannabis use. This may indicate that dysconnectivity in these networks serves different roles in the context of cannabis use.
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Affiliation(s)
- Musa Basseer Sami
- Institute of Psychiatry, Psychology and Neurosciences King’s College London, London, UK
- Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Robert A McCutcheon
- Institute of Psychiatry, Psychology and Neurosciences King’s College London, London, UK
| | | | - Steve Williams
- Centre for Neuroimaging Sciences, King’s College London, London, UK
| | - Dave Lythgoe
- Centre for Neuroimaging Sciences, King’s College London, London, UK
| | - Philip McGuire
- Institute of Psychiatry, Psychology and Neurosciences King’s College London, London, UK
| | - Sagnik Bhattacharyya
- Institute of Psychiatry, Psychology and Neurosciences King’s College London, London, UK
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23
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Deconstructing the neurobiology of cannabis use disorder. Nat Neurosci 2020; 23:600-610. [PMID: 32251385 DOI: 10.1038/s41593-020-0611-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 02/13/2020] [Indexed: 12/20/2022]
Abstract
There have been dramatic changes worldwide in the attitudes toward and consumption of recreational and medical cannabis. Cannabinoid receptors, which mediate the actions of cannabis, are abundantly expressed in brain regions known to mediate neural processes underlying reward, cognition, emotional regulation and stress responsivity relevant to addiction vulnerability. Despite debates regarding potential pathological consequences of cannabis use, cannabis use disorder is a clinical diagnosis with high prevalence in the general population and that often has its genesis in adolescence and in vulnerable individuals associated with psychiatric comorbidity, genetic and environmental factors. Integrated information from human and animal studies is beginning to expand insights regarding neurobiological systems associated with cannabis use disorder, which often share common neural characteristics with other substance use disorders, that could inform prevention and treatment strategies.
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24
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Blithikioti C, Miquel L, Batalla A, Rubio B, Maffei G, Herreros I, Gual A, Verschure P, Balcells‐Oliveró M. Cerebellar alterations in cannabis users: A systematic review. Addict Biol 2019; 24:1121-1137. [PMID: 30811097 DOI: 10.1111/adb.12714] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 12/13/2018] [Accepted: 12/13/2018] [Indexed: 01/18/2023]
Abstract
Cannabis is the most used illicit substance in the world. As many countries are moving towards decriminalization, it is crucial to determine whether and how cannabis use affects human brain and behavior. The role of the cerebellum in cognition, emotion, learning, and addiction is increasingly recognized. Because of its high density in CB1 receptors, it is expected to be highly affected by cannabis use. The aim of this systematic review is to investigate how cannabis use affects cerebellar structure and function, as well as cerebellar-dependent behavioral tasks. Three databases were searched for peer-reviewed literature published until March 2018. We included studies that focused on cannabis effects on cerebellar structure, function, or cerebellar-dependent behavioral tasks. A total of 348 unique records were screened, and 40 studies were included in the qualitative synthesis. The most consistent findings include (1) increases in cerebellar gray matter volume after chronic cannabis use, (2) alteration of cerebellar resting state activity after acute or chronic use, and (3) deficits in memory, decision making, and associative learning. Age of onset and higher exposure to cannabis use were frequently associated with increased cannabis-induced alterations. Chronic cannabis use is associated with alterations in cerebellar structure and function, as well as with deficits in behavioral paradigms that involve the cerebellum (eg, eyeblink conditioning, memory, and decision making). Future studies should consider tobacco as confounding factor and use standardized methods for assessing cannabis use. Paradigms exploring the functional activity of the cerebellum may prove useful as monitoring tools of cannabis-induced impairment.
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Affiliation(s)
- Chrysanthi Blithikioti
- Grup de Recerca en Addiccions Clínic (GRAC)Institut Clínic de Neurociències Barcelona Spain
- IDIBAPSInstitut d'Investigacions Biomèdiques August Pi i Sunyer Barcelona Spain
- Hospital ClínicUniversitat de Barcelona Barcelona Spain
| | - Laia Miquel
- Grup de Recerca en Addiccions Clínic (GRAC)Institut Clínic de Neurociències Barcelona Spain
- IDIBAPSInstitut d'Investigacions Biomèdiques August Pi i Sunyer Barcelona Spain
- Hospital ClínicUniversitat de Barcelona Barcelona Spain
| | - Albert Batalla
- Department of Psychiatry, Brain Center Rudolf MagnusUniversity Medical Center Utrecht Utrecht the Netherlands
- Nijmegen Institute for Scientist‐Practitioners in Addiction (NISPA)Radboud University Nijmegen The Netherlands
| | - Belen Rubio
- Laboratory of Synthetic Perceptive, Emotive and Cognitive SystemsInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology Barcelona Spain
| | - Giovanni Maffei
- Laboratory of Synthetic Perceptive, Emotive and Cognitive SystemsInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology Barcelona Spain
| | - Ivan Herreros
- Laboratory of Synthetic Perceptive, Emotive and Cognitive SystemsInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology Barcelona Spain
| | - Antoni Gual
- Grup de Recerca en Addiccions Clínic (GRAC)Institut Clínic de Neurociències Barcelona Spain
- IDIBAPSInstitut d'Investigacions Biomèdiques August Pi i Sunyer Barcelona Spain
- Hospital ClínicUniversitat de Barcelona Barcelona Spain
| | - Paul Verschure
- Laboratory of Synthetic Perceptive, Emotive and Cognitive SystemsInstitute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology Barcelona Spain
- ICREAInstitucio Catalana de Recerca I Estudis Avançats, Passeig Lluis Companys Barcelona Spain
| | - Mercedes Balcells‐Oliveró
- Grup de Recerca en Addiccions Clínic (GRAC)Institut Clínic de Neurociències Barcelona Spain
- IDIBAPSInstitut d'Investigacions Biomèdiques August Pi i Sunyer Barcelona Spain
- Hospital ClínicUniversitat de Barcelona Barcelona Spain
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25
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Darnai G, Perlaki G, Zsidó AN, Inhóf O, Orsi G, Horváth R, Nagy SA, Lábadi B, Tényi D, Kovács N, Dóczi T, Demetrovics Z, Janszky J. Internet addiction and functional brain networks: task-related fMRI study. Sci Rep 2019; 9:15777. [PMID: 31673061 PMCID: PMC6823489 DOI: 10.1038/s41598-019-52296-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 10/11/2019] [Indexed: 12/14/2022] Open
Abstract
A common brain-related feature of addictions is the altered function of higher-order brain networks. Growing evidence suggests that Internet-related addictions are also associated with breakdown of functional brain networks. Taking into consideration the limited number of studies used in previous studies in Internet addiction (IA), our aim was to investigate the functional correlates of IA in the default mode network (DMN) and in the inhibitory control network (ICN). To observe these relationships, task-related fMRI responses to verbal Stroop and non-verbal Stroop-like tasks were measured in 60 healthy university students. The Problematic Internet Use Questionnaire (PIUQ) was used to assess IA. We found significant deactivations in areas related to the DMN (precuneus, posterior cingulate gyrus) and these areas were negatively correlated with PIUQ during incongruent stimuli. In Stroop task the incongruent_minus_congruent contrast showed positive correlation with PIUQ in areas related to the ICN (left inferior frontal gyrus, left frontal pole, left central opercular, left frontal opercular, left frontal orbital and left insular cortex). Altered DMN might explain some comorbid symptoms and might predict treatment outcomes, while altered ICN may be the reason for having difficulties in stopping and controlling overuse.
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Affiliation(s)
- Gergely Darnai
- Institute of Psychology, University of Pécs, Pécs, Hungary. .,Department of Neurology, University of Pécs, Medical School, Pécs, Hungary. .,MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
| | - Gábor Perlaki
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Pécs Diagnostic Centre, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
| | - András N Zsidó
- Institute of Psychology, University of Pécs, Pécs, Hungary
| | - Orsolya Inhóf
- Institute of Psychology, University of Pécs, Pécs, Hungary
| | - Gergely Orsi
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Pécs Diagnostic Centre, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
| | - Réka Horváth
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary
| | - Szilvia Anett Nagy
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Pécs Diagnostic Centre, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary.,MTA-PTE Stress Neurobiology Research Group, Pécs, Hungary
| | - Beatrix Lábadi
- Institute of Psychology, University of Pécs, Pécs, Hungary
| | - Dalma Tényi
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary
| | - Norbert Kovács
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary.,MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
| | - Tamás Dóczi
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.,Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
| | - Zsolt Demetrovics
- Institute of Psychology, Eötvös Loránd University, Budapest, Hungary
| | - József Janszky
- Department of Neurology, University of Pécs, Medical School, Pécs, Hungary.,MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
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26
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Zhang R, Volkow ND. Brain default-mode network dysfunction in addiction. Neuroimage 2019; 200:313-331. [DOI: 10.1016/j.neuroimage.2019.06.036] [Citation(s) in RCA: 131] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/14/2019] [Accepted: 06/17/2019] [Indexed: 12/21/2022] Open
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27
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Ma L, Del Buono MG, Moeller FG. Cannabis Use as a Risk Factor for Takotsubo (Stress) Cardiomyopathy: Exploring the Evidence from Brain-Heart Link. Curr Cardiol Rep 2019; 21:121. [DOI: 10.1007/s11886-019-1210-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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28
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Shen Z, Huang P, Wang C, Qian W, Yang Y, Zhang M. Cerebellar Gray Matter Reductions Associate With Decreased Functional Connectivity in Nicotine-Dependent Individuals. Nicotine Tob Res 2019; 20:440-447. [PMID: 29065207 DOI: 10.1093/ntr/ntx168] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 07/25/2017] [Indexed: 01/19/2023]
Abstract
Introduction Nicotine dependence (ND) is a chronic, relapsing mental disorder characterized by compulsive cigarette seeking and smoking. Although the cerebellum plays an increasingly implicated role in ND, the exact cerebellar alterations in ND remain unclear. Identifying the localization of these cerebellar abnormalities in ND may help to further understand the role of the cerebellum in ND. Thus, we investigated the structural and functional alterations in the cerebellum in a large sample of smokers using the spatially unbiased infratentorial template (SUIT). Methods High-resolution structural magnetic resonance imaging (MRI) data were acquired from 85 smokers and 41 nonsmokers. We applied voxel-based morphometry (VBM) and the SUIT cerebellar atlas to compare the cerebellar gray matter (GM) volume between smokers and nonsmokers. Using resting-state functional MRI data, we also performed seed-based functional connectivity (FC) analysis to examine the functional correlates of the GM volume changes. Results Both VBM and lobular analyses revealed smaller GM volume in the bilateral Crus I in smokers. The GM volume of the left Crus I was inversely correlated with the severity of nicotine dependence as assessed by Fagerström Test for Nicotine Dependence (r = -.268, p = .013). We also found reduced FC between the bilateral Crus I and brain regions involved in the default mode network and motor system, as well as the frontal and temporal cortex in smokers. Conclusions Our results indicate that decreased cerebellar GM volume and corticocerebellar FC are associated with ND, and these may underlie the core ND phenotypes, including automatized smoking behavior, cognitive, and emotional deficits. Implications As smoking remains a worldwide public health problem, identifying the related neural alterations may help to understand the pathophysiology of ND. Based on previous findings in the cerebellum, we investigated the localization of the GM differences and related FC changes in ND subjects. Our findings highlight altered corticocerebellar circuits in ND, suggesting an association between the cerebellum and the phenotypes of ND.
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Affiliation(s)
- Zhujing Shen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Qian
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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29
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Zaytseva Y, Horáček J, Hlinka J, Fajnerová I, Androvičová R, Tintěra J, Salvi V, Balíková M, Hložek T, Španiel F, Páleníček T. Cannabis-induced altered states of consciousness are associated with specific dynamic brain connectivity states. J Psychopharmacol 2019; 33:811-821. [PMID: 31154891 DOI: 10.1177/0269881119849814] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Cannabis, and specifically one of its active compounds delta-9-tetrahydrocannabinol in recreational doses, has a variety of effects on cognitive processes. Most studies employ resting state functional magnetic resonance imaging techniques to assess the stationary effects of cannabis and to-date one report addressed the impact of delta-9-tetrahydrocannabinol on the dynamics of whole-brain functional connectivity. METHODS Using a repeated-measures, within-subjects design, 19 healthy occasional cannabis users (smoking cannabis ⩽2 per week) underwent resting state functional magnetic resonance imaging scans. Each subject underwent two scans: in the intoxicated condition, shortly after smoking a cannabis cigarette, and in the non-intoxicated condition, with the subject being free from cannabinoids for at least one week before. All sessions were randomized and performed in a four-week interval. Data were analysed employing a standard independent component analysis approach with subsequent tracking of the functional connectivity dynamics, which allowed six connectivity clusters (states) to be individuated. RESULTS Using standard independent component analysis in resting state functional connectivity, a group effect was found in the precuneus connectivity. With a dynamic independent component analysis approach, we identified one transient connectivity state, characterized by high connectivity within and between auditory and somato-motor cortices and anti-correlation with subcortical structures and the cerebellum that was only found during the intoxicated condition. Behavioural measures of the subjective experiences of changed perceptions and tetrahydrocannabinol plasma levels during intoxication were associated with this state. CONCLUSIONS With the help of the dynamic connectivity approach we could elucidate neural correlates of the transitory perceptual changes induced by delta-9-tetrahydrocannabinol in cannabis users, and possibly identify a biomarker of cannabis intoxication.
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Affiliation(s)
- Yuliya Zaytseva
- 1 National Institute of Mental Health, Klecany, Czech Republic.,3 Human Science Centre, Ludwig-Maximilian University, Munich, Germany
| | - Jiří Horáček
- 1 National Institute of Mental Health, Klecany, Czech Republic.,2 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Jaroslav Hlinka
- 1 National Institute of Mental Health, Klecany, Czech Republic.,4 Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
| | - Iveta Fajnerová
- 1 National Institute of Mental Health, Klecany, Czech Republic.,2 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Renata Androvičová
- 1 National Institute of Mental Health, Klecany, Czech Republic.,2 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | | | - Virginio Salvi
- 5 Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Marie Balíková
- 6 Institute of Forensic Medicine and Toxicology, Charles University in Prague, Czech Republic
| | - Tomáš Hložek
- 6 Institute of Forensic Medicine and Toxicology, Charles University in Prague, Czech Republic
| | - Filip Španiel
- 1 National Institute of Mental Health, Klecany, Czech Republic.,2 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Tomáš Páleníček
- 1 National Institute of Mental Health, Klecany, Czech Republic.,2 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
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30
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Moreno-Rius J. The Cerebellum, THC, and Cannabis Addiction: Findings from Animal and Human Studies. THE CEREBELLUM 2019; 18:593-604. [DOI: 10.1007/s12311-018-0993-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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31
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Camchong J, Collins PF, Becker MP, Lim KO, Luciana M. Longitudinal Alterations in Prefrontal Resting Brain Connectivity in Non-Treatment-Seeking Young Adults With Cannabis Use Disorder. Front Psychiatry 2019; 10:514. [PMID: 31404267 PMCID: PMC6670783 DOI: 10.3389/fpsyt.2019.00514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/01/2019] [Indexed: 12/20/2022] Open
Abstract
Background: Cannabis is increasingly perceived as a harmless drug by recreational users, yet chronic use may impact brain changes into adulthood. Repeated cannabis exposure has been associated with enduring synaptic changes in executive control and reward networks. It is important to determine whether there are brain functional alterations within these networks in individuals that do not seek treatment for chronic cannabis abuse. Methods: This longitudinal study compared resting-state functional connectivity changes in executive control and reward networks between 23 non-treatment-seeking young adults with cannabis use disorder (6 females; baseline age M = 19.3 ± 1.18) and 21 age-matched controls (10 females; baseline age M = 19.4 ± 0.65) to determine group differences in the temporal trajectories of resting-state functional connectivity across a 2-year span. Results: Results showed i) significant increases in resting-state functional connectivity between the caudal anterior cingulate cortex and precentral and parietal regions over time in the control group, but not in the cannabis use disorder group, and ii) sustained lower resting-state functional connectivity of anterior cingulate cortex seeds with frontal and thalamic regions in the cannabis use disorder group vs. the age-matched controls. Resting-state functional connectivity strength was correlated with cannabis use patterns in the cannabis use disorder sample. Conclusion: Longitudinal alterations in intrinsic functional organization of executive control networks found in non-treatment-seeking young adults with cannabis use disorder (when compared to age-matched controls) may impact regulatory control over substance use behavior. Current findings were limited to examining executive control and reward networks seeded in ACC and NAcc, respectively. Future studies with larger sample sizes and enough power are needed to conduct exploratory analyses examining rsFC of other networks beyond those within the scope of the current study.
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Affiliation(s)
- Jazmin Camchong
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Paul F Collins
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States
| | - Mary P Becker
- Department of Psychiatry, Hennepin Healthcare, Richfield, MN, United States
| | - Kelvin O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Monica Luciana
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States
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32
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Filbey FM, Gohel S, Prashad S, Biswal BB. Differential associations of combined vs. isolated cannabis and nicotine on brain resting state networks. Brain Struct Funct 2018; 223:3317-3326. [PMID: 29882015 PMCID: PMC6286234 DOI: 10.1007/s00429-018-1690-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 05/26/2018] [Indexed: 01/30/2023]
Abstract
Concomitant cannabis and nicotine use is more prevalent than cannabis use alone; however, to date, most of the literature has focused on associations of isolated cannabis and nicotine use limiting the generalizability of existing research. To determine differential associations of concomitant use of cannabis and nicotine, isolated cannabis use and isolated nicotine use on brain network connectivity, we examined systems-level neural functioning via independent components analysis (ICA) on resting state networks (RSNs) in cannabis users (CAN, n = 53), nicotine users (NIC, n = 28), concomitant nicotine and cannabis users (NIC + CAN, n = 26), and non-users (CTRL, n = 30). Our results indicated that the CTRL group and NIC + CAN users had the greatest functional connectivity relative to CAN users and NIC users in 12 RSNs: anterior default mode network (DMN), posterior DMN, left frontal parietal network, lingual gyrus, salience network, right frontal parietal network, higher visual network, insular cortex, cuneus/precuneus, posterior cingulate gyrus/middle temporal gyrus, dorsal attention network, and basal ganglia network. Post hoc tests showed no significant differences between (1) CTRL and NIC + CAN and (2) NIC and CAN users. These findings of differential associations of isolated vs. combined nicotine and cannabis use demonstrate an interaction between cannabis and nicotine use on RSNs. These unique and combined mechanisms through which cannabis and nicotine influence cortical network functional connectivity are important to consider when evaluating the neurobiological pathways associated with cannabis and nicotine use.
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Affiliation(s)
- Francesca M Filbey
- Center for BrainHealth, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
| | - Suril Gohel
- Department of Health Informatics, School of Health Professions, Rutgers University, Newark, NJ, USA
| | - Shikha Prashad
- Center for BrainHealth, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
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Exploring the Neuroplastic Effects of Biofeedback Training on Smokers. Behav Neurol 2018; 2018:4876287. [PMID: 30151058 PMCID: PMC6087614 DOI: 10.1155/2018/4876287] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 05/29/2018] [Accepted: 06/10/2018] [Indexed: 01/17/2023] Open
Abstract
Smoking and stress cooccur in different stages of a nicotine addiction cycle, affecting brain function and showing additive impact on different physiological responses. Resting-state functional connectivity has shown potential in identifying these alterations. Nicotine addiction has been associated with detrimental effects on functional integrity of the central nervous system, including the organization of resting-state networks. Prolonged stress may result in enhanced activation of the default mode network (DMN). Considering that biofeedback has shown promise in alleviating physiological manifestations of stress, we aimed to explore the possible neuroplastic effects of biofeedback training on smokers. Clinical, behavioral, and neurophysiological (resting-state EEG) data were collected from twenty-seven subjects before and after five sessions of skin temperature training. DMN functional cortical connectivity was investigated. While clinical status remained unaltered, the degree of nicotine dependence and psychiatric symptoms were significantly improved. Significant changes in DMN organization and network properties were not observed, except for a significant increase of information flow from the right ventrolateral prefrontal cortex and right temporal pole cortex towards other DMN components. Biofeedback aiming at stress alleviation in smokers could play a protective role against maladaptive plasticity of connectivity. Multiple sessions, individualized interventions and more suitable methods to promote brain plasticity, such as neurofeedback training, should be considered.
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Hobkirk AL, Nichols TT, Foulds J, Yingst JM, Veldheer S, Hrabovsky S, Richie J, Eissenberg T, Wilson SJ. Changes in resting state functional brain connectivity and withdrawal symptoms are associated with acute electronic cigarette use. Brain Res Bull 2018; 138:56-63. [PMID: 28528203 PMCID: PMC5693791 DOI: 10.1016/j.brainresbull.2017.05.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 05/12/2017] [Indexed: 11/25/2022]
Abstract
Resting state functional brain connectivity (rsFC) may be an important neuromarker of smoking behavior. Prior research has shown, among cigarette smokers, that nicotine administration alters rsFC within frontal and parietal cortices involved in executive control, as well as striatal regions that drive reward processing. These changes in rsFC have been associated with reductions in withdrawal symptom severity. We currently have a limited understanding of how rsFC is affected by the use of electronic cigarettes (ecigs), an increasingly popular class of products, the members of which deliver nicotine with varying effectiveness. The current study used fMRI to determine the effects of ecig use on rsFC and withdrawal symptoms. Independent component, dual regression, and permutation analyses were conducted on rsFC collected from ecig users before and after an ecig use episode (n=9) that occurred after 14h of nicotine abstinence. Similar to the known effects of nicotine administration, ecig use decreased rsFC of two clusters in the right frontal pole and frontal medial cortex with an attentional control salience network, and decreased rsFC of five clusters in the left thalamus, insula, and brain stem with a reward network encompassing the striatum. Ecig use increased inverse coupling between the prefrontal reward network and the right frontoparietal executive control network. Reductions in craving and difficulty with concentration were correlated with decreases in coupling strength between reward and executive control networks. These preliminary results suggest that the effects of ecig use on rsFC are similar to those seen with nicotine administration in other forms. In order to gain insight into the addictive potential of ecigs, further research is needed to understand the neural influence of ecigs across the range of nicotine delivery within this class of products.
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Affiliation(s)
- Andréa L Hobkirk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2812 Erwin Rd, Durham, NC 27708, USA.
| | - Travis T Nichols
- VA North Texas Health Care System, 4500 S. Lancaster Rd, Dallas, TX 75216, USA.
| | - Jonathan Foulds
- Department of Public Health Sciences, Pennsylvania State University, College of Medicine, Cancer Institute, 500 University Drive, PO Box 850, Hershey, PA 17033, USA.
| | - Jessica M Yingst
- Department of Public Health Sciences, Pennsylvania State University, College of Medicine, Cancer Institute, 500 University Drive, PO Box 850, Hershey, PA 17033, USA.
| | - Susan Veldheer
- Department of Public Health Sciences, Pennsylvania State University, College of Medicine, Cancer Institute, 500 University Drive, PO Box 850, Hershey, PA 17033, USA.
| | - Shari Hrabovsky
- Department of Public Health Sciences, Pennsylvania State University, College of Medicine, Cancer Institute, 500 University Drive, PO Box 850, Hershey, PA 17033, USA.
| | - John Richie
- Department of Public Health Sciences, Pennsylvania State University, College of Medicine, Cancer Institute, 500 University Drive, PO Box 850, Hershey, PA 17033, USA.
| | - Thomas Eissenberg
- Department of Psychology (Health Program) and Center for the Study of Tobacco Products, Virginia Commonwealth University, Box 980205, Richmond, VA 23298, USA.
| | - Stephen J Wilson
- Pennsylvania State University, Department of Psychology, University Park, PA 16802, USA.
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Zhang S, Hu S, Fucito LM, Luo X, Mazure CM, Zaborszky L, Li CSR. Resting-State Functional Connectivity of the Basal Nucleus of Meynert in Cigarette Smokers: Dependence Level and Gender Differences. Nicotine Tob Res 2017; 19:452-459. [PMID: 27613921 DOI: 10.1093/ntr/ntw209] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 08/06/2016] [Indexed: 12/13/2022]
Abstract
Introduction Numerous studies have characterized impaired cerebral functioning in nicotine-addicted individuals. Whereas nicotine interacts with multiple neurotransmitters in cortical and subcortical circuits, it directly targets the cholinergic system, sourced primarily from the basal nucleus of Meynert (BNM). However, no studies have examined how this cholinergic system is influenced by cigarette smoking. Here, we addressed this gap of research. Methods Using a dataset from the Functional Connectome Projects, we investigated this issue by contrasting seed-based BNM connectivity of 40 current smokers and 170 age- and gender-matched nonsmokers. We followed our data analytic routines in recent work and examined differences between smokers and nonsmokers in men and women combined as well as separately. Results Compared to nonsmokers, female but not male smokers demonstrated greater positive BNM connectivity to the supplementary motor area, bilateral anterior insula, and right superior temporal/supramarginal gyri as well as greater negative connectivity to the posterior cingulate cortex and precuneus. Further, BNM connectivity to the supplementary motor area is negatively correlated to the Fagerström Test for Nicotine Dependence score in male but not female smokers. Conclusions Along with a previous report of upregulated nicotinic acetylcholine receptor in male but not female smokers, these new findings highlight functional changes of the cholinergic systems in cigarette smokers. The results suggest sex-specific differences in cholinergic dysregulation and a need for multiple imaging modalities to capture the neural markers of nicotine addiction. Implications Nicotine influences cognition via cholinergic projections of the basal forebrain to the cerebral cortex. This study examined changes in resting-state whole-brain functional connectivity of the BNM in cigarette smokers. The new findings elucidate for the first time sex differences in BNM-cerebral connectivity in cigarette smoking.
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Affiliation(s)
- Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Sien Hu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Lisa M Fucito
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Carolyn M Mazure
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
- Women's Health Research, Yale University School of Medicine, New Haven, CT
| | | | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT
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Thijssen S, Rashid B, Gopal S, Nyalakanti P, Calhoun VD, Kiehl KA. Regular cannabis and alcohol use is associated with resting-state time course power spectra in incarcerated adolescents. Drug Alcohol Depend 2017; 178:492-500. [PMID: 28715777 PMCID: PMC5561725 DOI: 10.1016/j.drugalcdep.2017.05.045] [Citation(s) in RCA: 14] [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] [Received: 08/23/2016] [Revised: 05/31/2017] [Accepted: 05/31/2017] [Indexed: 12/24/2022]
Abstract
Cannabis and alcohol are believed to have widespread effects on the brain. Although adolescents are at increased risk for substance use, the adolescent brain may also be particularly vulnerable to the effects of drug exposure due to its rapid maturation. Here, we examined the association between cannabis and alcohol use duration and resting-state functional connectivity in a large sample of male juvenile delinquents. The present sample was drawn from the Southwest Advanced Neuroimaging Cohort, Youth sample, and from a youth detention facility in Wisconsin. All participants were scanned at the maximum-security facilities using The Mind Research Network's 1.5T Avanto SQ Mobile MRI scanner. Information on cannabis and alcohol regular use duration was collected using self-report. Resting-state networks were computed using group independent component analysis in 201 participants. Associations with cannabis and alcohol use were assessed using Mancova analyses controlling for age, IQ, smoking and psychopathy scores in the complete case sample of 180 male juvenile delinquents. No associations between alcohol or cannabis use and network spatial maps were found. Longer cannabis use was associated with decreased low frequency power of the default mode network, the executive control networks (ECNs), and several sensory networks, and with decreased functional network connectivity. Duration of alcohol use was associated with decreased low frequency power of the right frontoparietal network, salience network, dorsal attention network, and several sensory networks. Our findings suggest that adolescent cannabis and alcohol use are associated with widespread differences in resting-state time course power spectra, which may persist even after abstinence.
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Affiliation(s)
- Sandra Thijssen
- School of Pedagogical and Educational Sciences, Erasmus University of Rotterdam, The Netherlands; Center for Child and Family Studies, Leiden University, The Netherlands
| | - Barnaly Rashid
- The Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
| | - Shruti Gopal
- The Mind Research Network, Albuquerque, NM, USA; Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA
| | | | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA; Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA
| | - Kent A Kiehl
- The Mind Research Network, Albuquerque, NM, USA; Department of Neurosciences, School of Medicine, University of New Mexico, Albuquerque, NM, USA; Departments of Psychology, Neuroscience, and Law, University Of New Mexico, Albuquerque, NM, United States.
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Mizrahi R, Watts JJ, Tseng KY. Mechanisms contributing to cognitive deficits in cannabis users. Neuropharmacology 2017; 124:84-88. [PMID: 28414051 DOI: 10.1016/j.neuropharm.2017.04.018] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 04/13/2017] [Indexed: 12/19/2022]
Abstract
Studies from preclinical animal models indicate that sustained activation of CB1 receptor signaling is a major contributing factor for the onset of cognitive deficits associated to chronic cannabis use, in particular within the working memory and decision-making domains. Yet, very few studies have been designed to directly assess the role of CB1 receptors in mediating the effects of cannabis on human brain function. This perspective review article provides an overview of current state of knowledge on possible neurobiological mechanisms accounting for the detrimental effects of chronic cannabis use on cognition and related changes in brain structure and functional connectivity. This article is part of the Special Issue entitled "A New Dawn in Cannabinoid Neurobiology".
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Affiliation(s)
- Romina Mizrahi
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Pharmacology & Toxicology, University of Toronto, ON, Canada; Research Imaging Center, CAMH, PET Centre, Toronto, ON, Canada
| | - Jeremy J Watts
- Department of Pharmacology & Toxicology, University of Toronto, ON, Canada; Research Imaging Center, CAMH, PET Centre, Toronto, ON, Canada
| | - Kuei Y Tseng
- Department of Cellular & Molecular Pharmacology, The Chicago Medical School at Rosalind Franklin University, North Chicago, IL, USA.
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Osuch EA, Manning K, Hegele RA, Théberge J, Neufeld R, Mitchell D, Williamson P, Gardner RC. Depression, marijuana use and early-onset marijuana use conferred unique effects on neural connectivity and cognition. Acta Psychiatr Scand 2016; 134:399-409. [PMID: 27565994 DOI: 10.1111/acps.12629] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/25/2016] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Marijuana (MJ) use is common. Research shows risks for psychiatric illnesses, including major depressive disorder (MDD) and cognitive deficits with MJ use, particularly early-onset use. We investigated cognitive function, functional connectivity, and genetic risk with MDD alone and combined with MJ use, and differences between early-vs. late-onset/non-MJ use in youth. METHOD A total of 74 youth in four groups were studied: healthy control, MDD, frequent MJ use and current/past MDD plus frequent MJ use. Psychiatric symptoms, cognitive performance and demographics were measured. Default mode network (DMN) brain connectivity was determined. Risk alleles in six genes of interest were evaluated. RESULTS DMN differences among groups in reward-processing and motor control regions were found; the effects of MJ use and MDD were distinct. Early-onset MJ use was associated with lower IQ and hyperconnectivity within areas of the DMN. Early-onset MJ use was associated with the BDNF risk allele. CONCLUSIONS Cognitive deficits linked with early-onset MJ use were present within several years after MJ use began and may result from, predispose to, or share a common cause with early-onset MJ use. The DMN was affected by MDD, MJ and their combination, as well as by early-onset MJ use. BDNF carrier state may predispose to early-onset MJ use.
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Affiliation(s)
- E A Osuch
- Department of Psychiatry, University of Western Ontario, London, ON, Canada. .,Department of Medical Biophysics, University of Western Ontario, London, ON, Canada. .,Program in Neuroscience, University of Western Ontario, London, ON, Canada. .,Lawson Health Research Institute, London, ON, Canada.
| | - K Manning
- Robarts Research Institute, London, ON, Canada
| | - R A Hegele
- Robarts Research Institute, London, ON, Canada
| | - J Théberge
- Department of Psychiatry, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, University of Western Ontario, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada.,Department of Medical Imaging, University of Western Ontario, London, ON, Canada.,Department of Diagnostic Imaging, St. Joseph's Hospital, London, ON, Canada
| | - R Neufeld
- Department of Psychiatry, University of Western Ontario, London, ON, Canada.,Program in Neuroscience, University of Western Ontario, London, ON, Canada.,Department of Psychology, University of Western Ontario, London, ON, Canada
| | - D Mitchell
- Department of Psychiatry, University of Western Ontario, London, ON, Canada.,Department of Psychology, University of Western Ontario, London, ON, Canada.,Brain and Mind Institute, London, ON, Canada
| | - P Williamson
- Department of Psychiatry, University of Western Ontario, London, ON, Canada.,Department of Medical Biophysics, University of Western Ontario, London, ON, Canada.,Program in Neuroscience, University of Western Ontario, London, ON, Canada
| | - R C Gardner
- Department of Psychology, University of Western Ontario, London, ON, Canada
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Tófoli LF, de Araujo DB. Treating Addiction: Perspectives from EEG and Imaging Studies on Psychedelics. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2016; 129:157-85. [PMID: 27503452 DOI: 10.1016/bs.irn.2016.06.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Despite reports of apparent benefits, social and political pressure beginning in the late 1960s effectively banned scientific inquiry into psychedelic substances. Covert examination of psychedelics persisted through the 1990s; the turn of the century and especially the past 10 years, however, has seen a resurgent interest in psychedelic substances (eg, LSD, ayahuasca, psilocybin). This chapter outlines relevant EEG and brain imaging studies evaluating the effects of psychedelics on the brain. This chapter also reviews evidence of the use of psychedelics as adjunct therapy for a number of psychiatric and addictive disorders. In particular, psychedelics appear to have efficacy in treating depression and alcohol-use disorders.
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Affiliation(s)
- L F Tófoli
- School of Medical Sciences, University of Campinas, Campinas, Brazil.
| | - D B de Araujo
- Brain Institute/Hospital Universitario Onofre Lopes, UFRN, Natal, Brazil
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40
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Subramaniam P, McGlade E, Yurgelun-Todd D. Comorbid Cannabis and Tobacco Use in Adolescents and Adults. CURRENT ADDICTION REPORTS 2016; 3:182-188. [PMID: 27175326 DOI: 10.1007/s40429-016-0101-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The prevalence of comorbid cannabis and tobacco use has been increasing among adolescents and adults and has been shown to be associated with a range of changes or deficits in physical, psychological and behavioral outcomes. Moreover, comorbid use has been shown to have a differential effect on the structure and function of the brain, especially as it relates to the reward circuitry and learning and memory. This interaction might be mediated by the involvement of the endocannabinoid system and alterations in dopamine signaling in regions associated with reward and cognitive functioning. While current findings demonstrate a differential effect of comorbid use on neurobiological and behavioral correlates compared with single substance use, additional studies are needed controlling for potential psychiatric comorbidities, age of onset of use and use of other substances. Understanding the neurobiological mechanisms associated with comorbid cannabis and tobacco use will be important in developing successful treatment outcomes in the future.
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Affiliation(s)
- Punitha Subramaniam
- Interdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT, USA; Diagnostic Neuroimaging, University of Utah, Salt Lake City, UT USA
| | - Erin McGlade
- Diagnostic Neuroimaging, University of Utah, Salt Lake City, UT USA; Department of Psychiatry, University of Utah, Salt Lake City, UT; George E. Whalen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center (MIRREC), Salt Lake City, UT, USA
| | - Deborah Yurgelun-Todd
- Interdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT, USA; Diagnostic Neuroimaging, University of Utah, Salt Lake City, UT USA; Department of Psychiatry, University of Utah, Salt Lake City, UT; George E. Whalen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center (MIRREC), Salt Lake City, UT, USA
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