Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Journal of Neuroscience
  • Log in
  • My Cart
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE
PreviousNext
Research Articles, Behavioral/Cognitive

Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence

Catherine Orr, Philip Spechler, Zhipeng Cao, Matthew Albaugh, Bader Chaarani, Scott Mackey, Deepak D'Souza, Nicholas Allgaier, Tobias Banaschewski, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Patricia Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Rajiv Radhakrishnan, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Alexandra Potter and Hugh Garavan
Journal of Neuroscience 6 March 2019, 39 (10) 1817-1827; DOI: https://doi.org/10.1523/JNEUROSCI.3375-17.2018
Catherine Orr
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
2 Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Philip Spechler
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zhipeng Cao
3Department of Psychology, University College Dublin, Dublin 4, Ireland,
4Department of Psychology and Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew Albaugh
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bader Chaarani
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Scott Mackey
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Deepak D'Souza
5Department of Psychiatry, Yale University School of Medicine, West Haven, Connecticut 06516,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicholas Allgaier
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nicholas Allgaier
Tobias Banaschewski
6Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Arun L.W. Bokde
7Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Arun L.W. Bokde
Uli Bromberg
8University Medical Centre Hamburg-Eppendorf, 20246, Hamburg, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christian Büchel
8University Medical Centre Hamburg-Eppendorf, 20246, Hamburg, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erin Burke Quinlan
9Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, WC2R 2LS United Kingdom,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Patricia Conrod
10Centre de recherche du CHU Ste-Justine and
11Department of Psychiatry, Université de Montréal, 3175 Chemin de la Côte Sainte-Catherine, Montreal, Québec H3T 1C5, Canada,
12National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, Addiction Sciences Building, London SE5 8BB, United Kingdom,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sylvane Desrivières
9Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, WC2R 2LS United Kingdom,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Herta Flor
13Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany,
14Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Herta Flor
Vincent Frouin
15NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Penny Gowland
16Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD United Kingdom,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Penny Gowland
Andreas Heinz
17Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, 10117 Berlin, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bernd Ittermann
18Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, Berlin, 10587 Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jean-Luc Martinot
19Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging and Psychiatry”, University Paris Sud-University Paris Saclay, DIGITEO Labs, 91190 Gif sur Yvette, France,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marie-Laure Paillère Martinot
20Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging and Psychiatry”, and AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, 75014 Paris, France,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Frauke Nees
6Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany,
13Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dimitri Papadopoulos Orfanos
15NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dimitri Papadopoulos Orfanos
Tomáš Paus
21Rotman Research Institute, Baycrest, and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario M6A 2E1, Canada,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Luise Poustka
22Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, 37075, Göttingen, Germany,
23Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, 1090, Vienna, Austria, and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sabina Millenet
6Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juliane H. Fröhner
24Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, 01069 Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rajiv Radhakrishnan
5Department of Psychiatry, Yale University School of Medicine, West Haven, Connecticut 06516,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael N. Smolka
24Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, 01069 Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henrik Walter
17Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, 10117 Berlin, Germany,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Whelan
3Department of Psychology, University College Dublin, Dublin 4, Ireland,
4Department of Psychology and Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Robert Whelan
Gunter Schumann
9Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, WC2R 2LS United Kingdom,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexandra Potter
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hugh Garavan
1Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Extended Data
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    a, Those regions showing significantly greater GMV in 14-year-olds reporting one or two instances of cannabis use than in matched controls (pFWE < 0.05). From left to right, slices are taken from anterior (y = −18) to posterior (y = 72) in 15 mm increments. The left hemisphere is to the right of the image. b, Outlines of anatomical regions (AAL atlas) superimposed on a binarized mask of the voxels showing significantly greater GMV in 14-year-olds reporting one or two instances of cannabis use than in matched controls (pFWE < 0.05). For clarity, only those regions for which at least 10% of their volume was included in the significant clusters are represented. From left to right, slices are taken from anterior (y = −18) to posterior (y = 72) in 15 mm increments. The left hemisphere is to the right of the image. c, Outlines of striatal subregions (Oxford-GSK-Imanova structural striatal atlas; Tziortzi et al., 2011) superimposed on a binarized mask of the voxels showing significantly greater GMV in 14-year-olds reporting one or two instances of cannabis use than in matched controls (pFWE < 0.05). From left to right, slices are taken from inferior (z = −10) to superior (z = 8) in 6 mm increments. The left hemisphere is to the right of the image.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Distribution of Average GMV in the regions showing significantly different GMV between those 14-year-olds reporting one or two instances of cannabis use and matched controls.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Inverse correlations were observed between PRIQ and normalized GMV in the left (r(41) = −0.411, pcorr = 0.037) and right (r(41) = −0.457, pcorr = 0.012) temporal clusters for those participants reporting one or two instances of cannabis use.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    An inverse correlation was observed between normalized GMV in the left temporal cluster and contemporaneous pegboard performance in those participants reporting one or two instances of cannabis use (r(39) = −0.454, pcorr = 0.030).

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Associations between normalized GMV in the right temporal cluster at baseline and Generalized Anxiety Disorder DAWBA band scores at follow-up. For those participants reporting one or two instances of cannabis use at baseline, those with DAWBA band scores of zero at follow-up had significantly lower GMV at baseline than those with DAWBA band scores of 1 or greater at follow-up (U = 43, pcorr = 0.009).

Tables

  • Figures
  • Extended Data
    • View popup
    Table 1.

    Demographic characteristics of Cohort 1, those 14 year olds reporting 1 or 2 instances of cannabis use (n = 46) and matched controls (n = 46)

    VariableCannabisControlStatistic
    Mean
        Age14.6014.51t(90) = 1.06
        PDS3.042.95t(90) = 0.846
        VCI108.33108.20t(90) = 0.042
        PRI102.85103.77t(90) = 0.345
        SES18.8018.72t(90) = 0.091
        Total GMV, mm374,2955.1272,8559.92t(90) = 1.03
        Lifetime alcohol consumption3.463.52t(90) = 0.214
        Lifetime nicotine consumption2.542.59t(90) = 0.101
        Average age of first cannabis use13.83 years
    Summary
        Sex65% male48% maleU = 874
        Handedness87% right handed87% right handedU = 1058
        Site 132U = 1081
        Site 2127U = 1173
        Site 341U = 1127
        Site 468U = 1012
        Site 578U = 1035
        Site 638U = 943
        Site 71112U = 1035
        Site 800
        No. reporting cannabis use in the past 30 d (%)10 (21.74)
        No. reporting cannabis use in the past 7 d (%)6 (13.04)
    • View popup
    Table 2.

    Demographic characteristics for those members of Cohort 1 for whom specific substance use, psychopathology, and cognitive measures were available at 16 year old follow-up

    Substance use (n = 31)Psychopathology (n = 33)Delay discounting (n = 31)
    Mean
        Age14.6014.6014.58
        PDS3.043.043.03
        VCI110.19110.31110.46
        PRI103.91103.36103.87
        SES19.0119.4719.40
        Total GMV, mm374,2793.6974,1208.8374,2428.43
        Lifetime alcohol consumption3.613.643.61
        Lifetime nicotine consumption2.482.452.39
    Summary
        Sex, %61 male61 male61 male
        Handedness, %90 right handed88 right handed87 right handed
    • View popup
    Table 3.

    Demographic characteristics of Cohort 2, those 16 year olds who were abstinent for cannabis use at baseline (age 14) but reported 10 or more instances of cannabis use by age 16 (n = 69) and matched controls (n = 69)

    VariableCannabisControlStatistic
    Mean
        Age14.4314.50t(136) = 0.944
        PDS2.802.79t(136) = 0.290
        VCI112.48110.29t(136) = 0.859
        PRI109.16108.26t(136) = 0.367
        SES17.9717.42t(136) = 0.835
        Total GMV, mm375,5082.7174,7752.65t(136) = 0.647
        Lifetime alcohol consumption2.332.29t(136) = 0.166
        Lifetime nicotine consumption1.331.16t(136) = 0.577
        Average age of first cannabis use, y14.97
    Summary
        Sex74% male70% maleU = 2277
        Handedness93% right handed91% right handedU = 2346
        Site 137U = 2242.5
        Site 2119U = 2449.5
        Site 343U = 2415
        Site 486U = 2449.5
        Site 51110U = 2415
        Site 6813U = 2208
        Site 71510U = 2553
        Site 8911U = 2311.5
    • View popup
    Table 4.

    Those regions showing significantly greater GMV in 14 year olds reporting 1 or 2 instances of cannabis use than in matched controls

    Anatomical region (AAL)No. of significant voxelsAnatomical region implicated, %
    Cluster 1: left temporal (Vol. 4968 vox; 16,767 μl; F(1,80) = 8.88, pcorr = 0.008; peak voxel −55, −2, −14)
        Frontal lobe
            Olfactory cortex13620.57
            Gyrus rectus482.33
            Superior frontal gyrus (pars orbitalis)291.34
            Inferior frontal gyrus (pars orbitalis)390.95
        Temporal lobe
            Superior temporal gyrus4207.87
            Middle temporal gyrus1641.38
            Heschl's gyrus30.55
            Superior temporal pole130.43
            Rolandic operculum50.21
            Inferior temporal gyrus50.07
        Subcortical
            Amygdala38274.17
            Hippocampus77735.63
            Putamen50321.13
            Pallidum12618.13
            Insula64014.79
            ParaHippocampal gyrus2028.56
            Caudate924.08
    Cluster 2: Right temporal (Vol. 3710 vox; 12,491 μl); F(1,80) = 5.88, pcorr = 0.018; peak voxel 30, −11, −27)
        Temporal lobe
            Heschl's gyrus6811.62
            Superior temporal gyrus500.67
            Superior temporal pole170.54
        Subcortical
            Amygdala43973.91
            Hippocampus74633.13
            Pallidum17226.46
            Putamen56422.20
            Parahippocampal gyrus41015.61
            Insula1854.39
    Cluster 3: Bilateral Posterior (Vol. 4959 vox; 16,737 μl); F(1,80) = 14.32, pcorr = 8.0 × 10−4; peak voxel −24, −59, 3)
        Temporal lobe
            Fusiform gyrus (L)2835.18
            Fusiform gyrus (R)1141.91
        Parietal lobe
            Posterior cingulate (R)597.98
            Posterior cingulate (L)221.97
            Precuneus (R)2683.45
            Precuneus (L)2122.55
        Occipital lobe
            Lingual gyrus (R)115821.14
            Lingual gyrus (L)81816.01
            Calcarine (L)2695.16
            Calcarine (R)791.87
        Cerebellum
            Cerebellar vermis (4 5)25817.61
            Cerebellar lobule 4 5 (R)30814.62
            Cerebellar lobule 6 (L)3328.20
            Cerebellar lobule 6 (R)2656.18
            Cerebellar lobule 4 5 (L)1565.80
            Cerebellar vermis (6)70.88
            Crus cerebellum1 (L)80.13
    • View popup
    Table 5.

    The number of ventral striatum voxels (and percentage of total anatomical volume) showing significantly greater GMV in 14 year olds reporting 1 or 2 instances of cannabis use than in matched controls

    No. of significant voxelsAnatomical region implicated, %
    Ventral striatum, left13130.32
    Ventral striatum, right22654.72
    • View popup
    Table 6.

    Those regions showing significantly greater GMV in 14 year olds reporting 1 or 2 instances of cannabis use than in matched controls, when controlling for agoraphobia and sensation seeking

    RegionVolPeak voxel
    Left temporal4836 vox (16,321 μl)−55, −2, −14F(1,76) = 8.018, pcorr = 0.011
    Right temporal3425 vox (11,559 μl)30, −11, −27F(1,76) = 6.026, pcorr = 0.016
    Bilateral posterior/inferior parietal4907 vox (16,561 μl)−24, −59, 3F(1,76) = 12.718, pcorr = 0.002
    Left inferior temporal gyrus603 vox (2,038 μl)−50, −9, −42F(1,76) = 12.755, pcorr = 0.002
    • View popup
    Table 7.

    No significant GMV differences were observed at baseline between those participants who were abstinent for cannabis use at age 14 but reported at least 10 instances of use by age 16 and matched controls (i.e., Cohort 2) in those regions defined in Cohort 1

    RegionVolPeak voxel
    Left temporal4968 vox (16,767 μl)−55, −2, −14F(1,125) = 3.026, pcorr = 0.252
    Right temporal3710 vox (12,491 μl)30, −11, −27F(1,125) = 5.626, pcorr = 0.057
    Bilateral posterior/inferior parietal4959 vox (16,737 μl)−24, −59, 3F(1,125) = 0.021, pcorr ≈ 1

Extended Data

  • Figures
  • Tables
  • Table 1-1

    Download Table 1-1, CSV file

  • Table 1-2

    Download Table 1-2, CSV file

  • Table 1-3

    Download Table 1-3, CSV file

Back to top

In this issue

The Journal of Neuroscience: 39 (10)
Journal of Neuroscience
Vol. 39, Issue 10
6 Mar 2019
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Advertising (PDF)
  • Ed Board (PDF)
Email

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence
Catherine Orr, Philip Spechler, Zhipeng Cao, Matthew Albaugh, Bader Chaarani, Scott Mackey, Deepak D'Souza, Nicholas Allgaier, Tobias Banaschewski, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Patricia Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Rajiv Radhakrishnan, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Alexandra Potter, Hugh Garavan
Journal of Neuroscience 6 March 2019, 39 (10) 1817-1827; DOI: 10.1523/JNEUROSCI.3375-17.2018

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence
Catherine Orr, Philip Spechler, Zhipeng Cao, Matthew Albaugh, Bader Chaarani, Scott Mackey, Deepak D'Souza, Nicholas Allgaier, Tobias Banaschewski, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Patricia Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Rajiv Radhakrishnan, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Alexandra Potter, Hugh Garavan
Journal of Neuroscience 6 March 2019, 39 (10) 1817-1827; DOI: 10.1523/JNEUROSCI.3375-17.2018
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • adolescent substance use
  • cannabis
  • cognition
  • marijuana
  • psychopathology
  • voxel-based morphometry

Responses to this article

Respond to this article

Jump to comment:

  • Much needed evidence about cannabis use in adolescents
    Annwyne Houldsworth
    Published on: 14 January 2019
  • Published on: (14 January 2019)
    Page navigation anchor for Much needed evidence about cannabis use in adolescents
    Much needed evidence about cannabis use in adolescents
    • Annwyne Houldsworth, Biomedical scientist lecturer, Khalifa University

    This is an excellent body of work and so important. Concrete evidence about the effects of marijuana on the developing brain is much needed. The behaviours that we observe, after some young people smoke pot, need to be accurately defined and communicated to the public. Describing the physiology associated with the observed differences in the brain will be an excellent way forward. There is some recent evidence that genetic susceptibility is associated in some individuals with drug habits in a case-control genome-wide association study identifying variants on chromosome 7p14.1 in patients from the United Arab Emirates (see references below).

    · Alblooshi H, Al Safar H, Fisher HF, Cordell HJ, El Kashef A, Al Ghaferi H, Shawky M, Reece S, Hulse GK, Tay GK. A case-control genome wide association study of substance use disorder (SUD) identifies novel variants on chromosome 7p14.1 in patients from the United Arab Emirates (UAE). Am J Med Genet B Neuropsychiatr Genet. 2019 Jan;180(1):68-79. doi: 10.1002/ajmg.b.32708. Epub 2018 Dec 16.
    · Alblooshi H, Hulse G, Osman W, El Kashef A, Shawky M, Al Ghaferi H, Al Safar H, Tay GK. The frequency of DRD2 rs1076560 and OPRM1 rs1799971 in substance use disorder patients from the United Arab Emirates. Ann Gen Psychiatry. 2018 Jun 1;17:22. doi: 10.1186/s12991-018-0192-4. eCollection 2018.
    · Alblooshi H, Hulse GK, El Kashef A, Al Hashmi H, Shawky M, Al Ghaferi H, Al Safar H, Tay GK. The pattern of substance use disorder in...

    Show More

    This is an excellent body of work and so important. Concrete evidence about the effects of marijuana on the developing brain is much needed. The behaviours that we observe, after some young people smoke pot, need to be accurately defined and communicated to the public. Describing the physiology associated with the observed differences in the brain will be an excellent way forward. There is some recent evidence that genetic susceptibility is associated in some individuals with drug habits in a case-control genome-wide association study identifying variants on chromosome 7p14.1 in patients from the United Arab Emirates (see references below).

    · Alblooshi H, Al Safar H, Fisher HF, Cordell HJ, El Kashef A, Al Ghaferi H, Shawky M, Reece S, Hulse GK, Tay GK. A case-control genome wide association study of substance use disorder (SUD) identifies novel variants on chromosome 7p14.1 in patients from the United Arab Emirates (UAE). Am J Med Genet B Neuropsychiatr Genet. 2019 Jan;180(1):68-79. doi: 10.1002/ajmg.b.32708. Epub 2018 Dec 16.
    · Alblooshi H, Hulse G, Osman W, El Kashef A, Shawky M, Al Ghaferi H, Al Safar H, Tay GK. The frequency of DRD2 rs1076560 and OPRM1 rs1799971 in substance use disorder patients from the United Arab Emirates. Ann Gen Psychiatry. 2018 Jun 1;17:22. doi: 10.1186/s12991-018-0192-4. eCollection 2018.
    · Alblooshi H, Hulse GK, El Kashef A, Al Hashmi H, Shawky M, Al Ghaferi H, Al Safar H, Tay GK. The pattern of substance use disorder in the United Arab Emirates in 2015: results of a National Rehabilitation Centre cohort study. Subst Abuse Treat Prev Policy. 2016 May 13;11(1):19. doi: 10.1186/s13011-016-0062-5.

    Show Less
    Competing Interests: None declared.

Related Articles

Cited By...

More in this TOC Section

Research Articles

  • Rhythmic Entrainment Echoes in Auditory Perception
  • Multimodal Imaging for Validation and Optimization of Ion Channel-Based Chemogenetics in Nonhuman Primates
  • Cleavage of VAMP2/3 Affects Oligodendrocyte Lineage Development in the Developing Mouse Spinal Cord
Show more Research Articles

Behavioral/Cognitive

  • NMDA Receptors in the Basolateral Amygdala Complex Are Engaged for Pavlovian Fear Conditioning When an Animal’s Predictions about Danger Are in Error
  • Signatures of Electrical Stimulation Driven Network Interactions in the Human Limbic System
  • Dissociable Neural Mechanisms Underlie the Effects of Attention on Visual Appearance and Response Bias
Show more Behavioral/Cognitive
  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
(JNeurosci logo)
(SfN logo)

Copyright © 2023 by the Society for Neuroscience.
JNeurosci Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in JNeurosci.