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Audi D, Hajeer S, Saab MB, Saab L, Harati H, Desoutter A, Al Ahmar E, Estephan E. Effects of Cannabis Use on Neurocognition: A Scoping Review of MRI Studies. J Psychoactive Drugs 2024:1-17. [PMID: 38944688 DOI: 10.1080/02791072.2024.2372377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 05/06/2024] [Indexed: 07/01/2024]
Abstract
Cannabis is one of the most commonly utilized recreational drugs. However, increasing evidence from the literature suggests harmful implications on cognition. Thus, the main aim of the current review is to summarize literature findings pertaining to the impact of cannabis on neurocognitive skills, focusing on the imaging biomarkers provided by MRI. Two reviewers navigated the literature independently using four main search engines including PubMed and Cochrane. Articles were first evaluated through their title and abstract, followed by full-text assessment. Study characteristics and findings were extracted, and the studies' quality was appraised. 47 articles were included. The majority of the studies were of a case-control design (66%), and the most studied neurocognitive skill was memory (40.4%). With task-based fMRI being the most commonly utilized MRI technique, findings have shown significantly varying decreased and increased neuronal activity within brain regions associated with the cognitive tasks performed. Results suggest that cannabis users are significantly suffering from cognitive deficits. The major significance of this review is attributed to highlighting the role of MRI. Future research needs to delve more into validating the negative effects of cannabis, to enable stakeholders to take action to limit cannabis usage, to foster public health and wellbeing.
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Affiliation(s)
- Dima Audi
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Shorouk Hajeer
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Marie-Belle Saab
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Faculty of Pedagogy, Lebanese University, Furn-El-Chebbak, Lebanon
| | - Lea Saab
- School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
- Faculty of Arts and Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
| | - Hayat Harati
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Muscat University, Muscat, Sultanate of Oman
| | | | - Elie Al Ahmar
- Faculty of Arts and Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
- School of Engineering, Holy Spirit University of Kaslik, Kaslik, Lebanon
| | - Elias Estephan
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Faculty of Arts and Sciences, Holy Spirit University of Kaslik, Kaslik, Lebanon
- LBN, University Montpellier, Montpellier, France
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2
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Xu H, Li J, Huang H, Yin B, Li DD. Abnormal developmental of structural covariance networks in young adults with heavy cannabis use: a 3-year follow-up study. Transl Psychiatry 2024; 14:45. [PMID: 38245512 PMCID: PMC10799944 DOI: 10.1038/s41398-024-02764-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/22/2024] Open
Abstract
Heavy cannabis use (HCU) exerts adverse effects on the brain. Structural covariance networks (SCNs) that illustrate coordinated regional maturation patterns are extensively employed to examine abnormalities in brain structure. Nevertheless, the unexplored aspect remains the developmental alterations of SCNs in young adults with HCU for three years, from the baseline (BL) to the 3-year follow-up (FU). These changes demonstrate dynamic development and hold potential as biomarkers. A total of 20 young adults with HCU and 22 matched controls were recruited. All participants underwent magnetic resonance imaging (MRI) scans at both the BL and FU and were evaluated using clinical measures. Both groups used cortical thickness (CT) and cortical surface area (CSA) to construct structural covariance matrices. Subsequently, global and nodal network measures of SCNs were computed based on these matrices. Regarding global network measures, the BL assessment revealed significant deviations in small-worldness and local efficiency of CT and CSA in young adults with HCU compared to controls. However, no significant differences between the two groups were observed at the FU evaluation. Young adults with HCU displayed changes in nodal network measures across various brain regions during the transition from BL to FU. These alterations included abnormal nodal degree, nodal efficiency, and nodal betweenness in widespread areas such as the entorhinal cortex, superior frontal gyrus, and parahippocampal cortex. These findings suggest that the topography of CT and CSA plays a role in the typical structural covariance topology of the brain. Furthermore, these results indicate the effect of HCU on the developmental changes of SCNs in young adults.
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Affiliation(s)
- Hui Xu
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
- The Affiliated Kangning Hospital of Wenzhou Medical University, Zhejiang Provincial Clinical Research Center for Mental Disorder, Wenzhou, 325007, China.
| | - Jiahao Li
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Huan Huang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Bo Yin
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Dan-Dong Li
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
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3
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Fenzl M, Backens M, Bodea S, Wittemann M, Werler F, Brielmaier J, Wolf RC, Reith W. Impact of cannabis use on brain metabolism using 31P and 1H magnetic resonance spectroscopy. Neuroradiology 2023; 65:1631-1648. [PMID: 37735222 PMCID: PMC10567915 DOI: 10.1007/s00234-023-03220-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 09/06/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE This prospective cross-sectional study investigated the influence of regular cannabis use on brain metabolism in young cannabis users by using combined proton and phosphorus magnetic resonance spectroscopy. METHODS The study was performed in 45 young cannabis users aged 18-30, who had been using cannabis on a regular basis over a period of at least 2 years and in 47 age-matched controls. We acquired 31P MRS data in different brain regions at 3T with a double-resonant 1H/31P head coil, anatomic images, and 1H MRS data with a standard 20-channel 1H head coil. Absolute concentration values of proton metabolites were obtained via calibration from tissue water as an internal reference, whereas a standard solution of 75 mmol/l KH2PO4 was used as an external reference for the calibration of phosphorus signals. RESULTS We found an overall but not statistically significant lower concentration level of several proton and phosphorus metabolites in cannabis users compared to non-users. In particular, energy-related phosphates such as adenosine triphosphate (ATP) and inorganic phosphate (Pi) were reduced in all regions under investigation. Phosphocreatine (PCr) showed lowered values mainly in the left basal ganglia and the left frontal white matter. CONCLUSION The results suggest that the increased risk of functional brain disorders observed in long-term cannabis users could be caused by an impairment of the energy metabolism of the brain, but this needs to be verified in future studies.
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Affiliation(s)
- Maximilian Fenzl
- Institute of Neuroradiology, Saarland University, 66421, Homburg, Germany.
| | - Martin Backens
- Institute of Neuroradiology, Saarland University, 66421, Homburg, Germany.
| | - Silviu Bodea
- Helmholtz Zentrum Munich, German Research Center for Environmental Health Institute of Biological and Medical Imaging, 85748, Munich, Germany
| | - Miriam Wittemann
- Department of Psychiatry and Psychotherapy, Saarland University, 66421, Homburg, Germany
| | - Florian Werler
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, 69115, Heidelberg, Germany
| | - Jule Brielmaier
- Department of Psychiatry and Psychotherapy, Saarland University, 66421, Homburg, Germany
- Department of Obstetrics and Gynecology, RKH Clinic Ludwigsburg, 71640, Ludwigsburg, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, 69115, Heidelberg, Germany
| | - Wolfgang Reith
- Institute of Neuroradiology, Saarland University, 66421, Homburg, Germany
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Wolf RC, Werler F, Schmitgen MM, Wolf ND, Wittemann M, Reith W, Hirjak D. Functional correlates of neurological soft signs in heavy cannabis users. Addict Biol 2023; 28:e13270. [PMID: 36825488 DOI: 10.1111/adb.13270] [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: 08/10/2022] [Revised: 12/03/2022] [Accepted: 01/20/2023] [Indexed: 02/17/2023]
Abstract
Sensorimotor dysfunction has been previously reported in persons with cannabis dependence. Such individuals can exhibit increased levels of neurological soft signs (NSS), particularly involving motor coordination, sensorimotor integration and complex motor task performance. Abnormal NSS levels can also be detected in non-dependent individuals with heavy cannabis use (HCU), yet very little is known about the functional correlates underlying such deficits. Here, we used resting-state functional magnetic resonance imaging (MRI) to investigate associations between NSS and intrinsic neural activity (INA) in HCU (n = 21) and controls (n = 26). Compared with controls, individuals with HCU showed significantly higher NSS across all investigated subdomains. Three of these subdomains, that is, motor coordination, sensorimotor integration and complex motor task behaviour, were associated with specific use-dependent variables, particularly age of onset of cannabis use and current cannabis use. Between-group comparisons of INA revealed lower regional homogeneity (ReHo) in left precentral gyrus, left inferior occipital gyrus, right triangular pat of the inferior frontal gyrus and right precentral gyrus in HCU compared with controls. In addition, HCU showed also higher ReHo in right cerebellum and left postcentral gyrus compared with controls. Complex motor task behaviour in HCU was significantly related to INA in postcentral, inferior frontal and occipital cortices. Our findings indicate abnormal ReHo in HCU in regions associated with sensorimotor, executive control and visuomotor-integration processes. Importantly, we show associations between ReHo, cannabis-use behaviour and execution of complex motor tasks. Given convergent findings in manifest psychotic disorders, this study suggests an HCU endophenotype that may present with a cumulative risk for psychosis.
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Affiliation(s)
- Robert Christian Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Florian Werler
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Mike M Schmitgen
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Miriam Wittemann
- Department of Psychiatry and Psychotherapy, Saarland University, Saarbrücken, Germany
| | - Wolfgang Reith
- Department of Neuroradiology, Saarland University, Saarbrücken, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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5
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Ghosh A, Kaur S, Shah R, Oomer F, Avasthi A, Ahuja CK, Basu D, Nehra R, Khandelwal N. Surface-based brain morphometry in schizophrenia vs. cannabis-induced psychosis: A controlled comparison. J Psychiatr Res 2022; 155:286-294. [PMID: 36170756 DOI: 10.1016/j.jpsychires.2022.09.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 08/19/2022] [Accepted: 09/16/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND & AIM We examined group differences in cortical thickness and surface-parameters among age and handedness--matched persons with cannabis-induced psychosis (CIP), schizophrenia with heavy cannabis use (SZC), and healthy controls (HC). METHODS We recruited 31 men with SZC, 28 with CIP, and 30 with HC. We used the Psychiatric Research Interview for Substance and Mental Disorders to differentiate between CIP and SZC. We processed and analyzed T1 MR images using the Surface-based Brain Morphometry (SBM) pipeline of the CAT-12 toolbox within the statistical parametric mapping. After pre-processing, volumes were segmented using surface and thickness estimation for the analysis of the region of interest. We used the projection-based thickness method to assess the cortical thickness and Desikan-Killiany atlas for cortical parcellation. RESULTS We observed the lowest cortical thickness, depth, and gyrification in the SZC, followed by CIP and the control groups. The differences were predominantly seen in frontal cortices, with limited parietal and temporal regions involvement. After False Discovery Rate (FDR) corrections and post-hoc analysis, SZC had reduced cortical thickness than HC in the middle and inferior frontal, right entorhinal, and left postcentral regions. Cortical thickness of SZC was also significantly lower than CIP in bilateral postcentral and right middle frontal regions. We found negative correlations (after FDR corrections) between the duration of cannabis use and cortical thickness in loci of parietal and occipital cortices. CONCLUSION Our study suggested cortical structural abnormalities in schizophrenia, in reference to healthy controls and cannabis-induced psychosis, indicating different pathophysiology of SZC and CIP.
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Affiliation(s)
- Abhishek Ghosh
- Drug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Simranjit Kaur
- Thapar Institute of Engineering and Technology, Punjab, India
| | - Raghav Shah
- Drug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Fareed Oomer
- Chasefarm Hospital, Barnet, Enfield & Haringey Mental Health Trust, Enfield, UK
| | - Ajit Avasthi
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Chirag K Ahuja
- Department of Radio-diagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Debasish Basu
- Chasefarm Hospital, Barnet, Enfield & Haringey Mental Health Trust, Enfield, UK
| | - Ritu Nehra
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Niranjan Khandelwal
- Department of Radio-diagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India
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Odoardi S, Biosa G, Mestria S, Valentini V, De Giovanni N, Cittadini F, Strano Rossi S. DRUG-IMPAIRED DRIVING AND TRAFFIC COLLISIONS: STUDY ON A CROSS SECTION OF THE ITALIAN POPULATION. Drug Test Anal 2022; 15:477-483. [PMID: 36082405 DOI: 10.1002/dta.3366] [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: 02/17/2022] [Revised: 08/30/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022]
Abstract
The present study focuses on the association between road accidents and the presence of drugs of abuse markers in the biological fluids of the drivers. Biological fluids collected from 1,236 drivers involved in road accidents (54 fatal and 1,182 non-fatal crashes) in the Rome area were analysed for alcohol and psychotropic drugs, as required by judicial authorities. The substance most frequently detected was alcohol (in 19% of non-fatal and 32% of fatal crashes), followed by cannabinoids (12% of non-fatal crashes) and cocaine (9% of non-fatal and 20% of fatal crashes). The results obtained for cocaine and cannabinoids in blood and urine were compared. We observed the absence or low concentrations of the active drug in blood (cocaine was often below 5 ng/mL and THC below 1 ng/mL), whereas urinary concentrations of metabolites were generally high (benzoylecgonine 250 - above 5000 ng/mL, THCCOOH 15-270 ng/mL). The risk of being involved in a road accident if cocaine or cannabis markers were present in the urine specimens was evaluated compared to a control population. The odds ratios calculated, being 8.13 for cannabis and 5.32 for cocaine, suggest a strong association between the presence of these drugs in the urine of drivers and traffic accidents, regardless of their presence in blood samples. The present data suggest that the chance of being involved in a road accident is higher than in the control population even if the subject is no longer "under the influence" of cannabis or cocaine at the time of the accident.
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Affiliation(s)
- Sara Odoardi
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
| | - Giulia Biosa
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
| | - Serena Mestria
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
| | - Valeria Valentini
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
| | - Nadia De Giovanni
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
| | - Francesca Cittadini
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
| | - Sabina Strano Rossi
- Department of Healthcare Surveillance and Bioethics, Section of Legal medicine, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario IRCCS A. Gemelli, Rome, Italy
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7
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The Effects of Alcohol and Cannabis Co-Use on Neurocognitive Function, Brain Structure, and Brain Function. Curr Behav Neurosci Rep 2021; 8:134-149. [PMID: 36908333 PMCID: PMC9997650 DOI: 10.1007/s40473-021-00243-8] [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: 10/19/2022]
Abstract
Purpose of review Given increases in the rates of alcohol and cannabis co-use among adolescents and young adults, this review aims to summarize literature on the effects of alcohol and cannabis co-use on neurocognitive functioning, brain structure, and brain function. Recent findings The limited existing studies examining concurrent, recent, and lifetime alcohol and cannabis co-use suggest effects on the brain are likely multifaceted. The majority of studies report that co-use is associated with negative outcomes such as impaired cognitive function and significant alterations in key structural and functional regions of the brain, while others report null effects of co-use compared to non-substance using control and single-substance use groups. Summary Current studies lack a general consensus on methodology, definitions of concurrent and simultaneous use, and neuroimaging approaches, which makes it challenging to draw strong conclusions about the effects of co-use. More studies are needed to explore the effects of co-use in the context of simultaneous alcohol and cannabis use.
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8
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Mikolas P, Bröckel K, Vogelbacher C, Müller DK, Marxen M, Berndt C, Sauer C, Jung S, Fröhner JH, Fallgatter AJ, Ethofer T, Rau A, Kircher T, Falkenberg I, Lambert M, Kraft V, Leopold K, Bechdolf A, Reif A, Matura S, Stamm T, Bermpohl F, Fiebig J, Juckel G, Flasbeck V, Correll CU, Ritter P, Bauer M, Jansen A, Pfennig A. Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest disease. Transl Psychiatry 2021; 11:485. [PMID: 34545071 PMCID: PMC8452775 DOI: 10.1038/s41398-021-01598-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/06/2021] [Accepted: 08/25/2021] [Indexed: 02/08/2023] Open
Abstract
In psychiatry, there has been a growing focus on identifying at-risk populations. For schizophrenia, these efforts have led to the development of early recognition and intervention measures. Despite a similar disease burden, the populations at risk of bipolar disorder have not been sufficiently characterized. Within the BipoLife consortium, we used magnetic resonance imaging (MRI) data from a multicenter study to assess structural gray matter alterations in N = 263 help-seeking individuals from seven study sites. We defined the risk using the EPIbipolar assessment tool as no-risk, low-risk, and high-risk and used a region-of-interest approach (ROI) based on the results of two large-scale multicenter studies of bipolar disorder by the ENIGMA working group. We detected significant differences in the thickness of the left pars opercularis (Cohen's d = 0.47, p = 0.024) between groups. The cortex was significantly thinner in high-risk individuals compared to those in the no-risk group (p = 0.011). We detected no differences in the hippocampal volume. Exploratory analyses revealed no significant differences in other cortical or subcortical regions. The thinner cortex in help-seeking individuals at risk of bipolar disorder is in line with previous findings in patients with the established disorder and corresponds to the region of the highest effect size in the ENIGMA study of cortical alterations. Structural alterations in prefrontal cortex might be a trait marker of bipolar risk. This is the largest structural MRI study of help-seeking individuals at increased risk of bipolar disorder.
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Affiliation(s)
- Pavol Mikolas
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.
| | - Kyra Bröckel
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Christoph Vogelbacher
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Dirk K. Müller
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Neuroimaging Center, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Michael Marxen
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Christina Berndt
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Cathrin Sauer
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Stine Jung
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Juliane Hilde Fröhner
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Andreas J. Fallgatter
- grid.10392.390000 0001 2190 1447Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Thomas Ethofer
- grid.10392.390000 0001 2190 1447Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department for Biomedical Resonance, University of Tübingen, Tübingen, Germany
| | - Anne Rau
- grid.10392.390000 0001 2190 1447Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Irina Falkenberg
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Martin Lambert
- grid.13648.380000 0001 2180 3484Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Vivien Kraft
- grid.13648.380000 0001 2180 3484Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karolina Leopold
- grid.6363.00000 0001 2218 4662Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Vivantes Hospital Am Urban and Vivantes Hospital Im Friedrichshain, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Bechdolf
- grid.6363.00000 0001 2218 4662Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Vivantes Hospital Am Urban and Vivantes Hospital Im Friedrichshain, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Thomas Stamm
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany ,grid.473452.3Department of Clinical Psychiatry and Psychotherapy, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany
| | - Felix Bermpohl
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jana Fiebig
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Georg Juckel
- grid.5570.70000 0004 0490 981XDepartment of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, Bochum, Germany
| | - Vera Flasbeck
- grid.5570.70000 0004 0490 981XDepartment of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, Bochum, Germany
| | - Christoph U. Correll
- grid.6363.00000 0001 2218 4662Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany ,grid.440243.50000 0004 0453 5950Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, NY USA ,grid.512756.20000 0004 0370 4759Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY USA
| | - Philipp Ritter
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Michael Bauer
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Andreas Jansen
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Andrea Pfennig
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
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Wolf RC, Werler F, Wittemann M, Schmitgen MM, Kubera KM, Wolf ND, Reith W, Hirjak D. Structural correlates of sensorimotor dysfunction in heavy cannabis users. Addict Biol 2021; 26:e13032. [PMID: 33951262 DOI: 10.1111/adb.13032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/21/2021] [Accepted: 03/05/2021] [Indexed: 12/12/2022]
Abstract
Sensorimotor dysfunction has been previously reported in persons with cannabis dependence. Such individuals can exhibit increased levels of neurological soft signs (NSS), particularly involving motor coordination and sensorimotor integration. Whether such abnormalities may also apply to non-dependent individuals with heavy cannabis use (HCU) is unknown, as much as the neural correlates underlying such deficits. In this study, we investigated associations between NSS and gray matter volume (GMV) in males with HCU and male controls. Twenty-four persons with HCU and 17 controls were examined using standardized assessment of NSS and structural magnetic resonance imaging (MRI) at 3 T. GMV was calculated using voxel-based morphometry algorithms provided by the Computational Anatomy Toolbox (CAT12). Individuals with HCU showed higher NSS total scores compared to controls. In particular, significant NSS-subdomain effects were found for "motor coordination" (MoCo), "complex motor tasks" (CoMT), and "hard signs" (HS) expression in HCU (p < 0.05, Bonferroni-corrected). Compared to controls, persons with HCU showed significant NSS/GMV interactions in putamen and inferior frontal cortex (MoCo), right cerebellum (CoMT) and middle and superior frontal cortices, and bilateral precentral cortex and thalamus (HS). In between-group analyses, individuals with HCU showed lower GMV in the right anterior orbital and precentral gyrus, as well as higher GMV in the right superior frontal gyrus and left supplementary motor cortex compared to controls. The data support the notion of abnormal sensorimotor performance associated with HCU. The data also provide a neuromechanistic understanding of such deficits, particularly with respect to aberrant cortical-thalamic-cerebellar-cortical circuit.
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Affiliation(s)
- Robert Christian Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Heidelberg Germany
| | - Florian Werler
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Heidelberg Germany
| | - Miriam Wittemann
- Department of Psychiatry and Psychotherapy Saarland University Saarbrücken Germany
| | - Mike M. Schmitgen
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Heidelberg Germany
| | - Katharina M. Kubera
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Heidelberg Germany
| | - Nadine D. Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Heidelberg Germany
| | - Wolfgang Reith
- Department of Neuroradiology Saarland University Saarbrücken Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim Heidelberg University Mannheim Germany
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