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Li J, Xu H. Abnormal structural covariance networks in young adults with recent cannabis use. Addict Behav 2024; 155:108029. [PMID: 38593597 DOI: 10.1016/j.addbeh.2024.108029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/24/2024] [Accepted: 04/05/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Recent cannabis use (RCU) exerts adverse effects on the brain. However, the effect of RCU on structural covariance networks (SCNs) is still unclear. This retrospective cross-sectional study aimed to explore the effects of RCU on SCNs in young adults in terms of whole cerebral cortical thickness (CT) and cortical surface area (CSA). METHODS A total of 117 participants taking tetrahydrocannabinol (RCU group) and 896 participants not using cannabis (control group) were included in this study. All participants underwent MRI scanning following urinalysis screening, after which FreeSurfer 5.3 was used to calculate the CT and CSA, and SCNs matrices were constructed by Brain Connectivity Toolbox. Subsequently, the global and nodal network measures of the SCNs were computed based on these matrices. A nonparametric permutation test was used to investigate the group differences by Matlab. RESULTS Regarding global network measures of CT, young adults with RCU exhibited altered small-worldness (P = 0.020) and clustering coefficient (P = 0.031) compared to controls, whereas there were no significant group differences in terms of SCNs constructed with CSA. Additionally, SCNs based on CT and CSA displayed abnormal nodal degree, nodal efficiency, and nodal betweenness centrality in vital brain regions of the triple network, including the dorsolateral and ventrolateral prefrontal cortex, and anterior cingulate cortex. CONCLUSION The effects of RCU on brain structure in young adults can be detected by SCNs, in which structural abnormalities in the triple network are dominant, indicating that RCU can be detrimental to brain function.
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Affiliation(s)
- Jiahao Li
- 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; Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - 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.
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2
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Burdinski D, Kodibagkar A, Potter K, Schuster R, Evins AE, Ghosh S, Gilman J. Impact of year-long cannabis use for medical symptoms on brain activation during cognitive processes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.29.24306516. [PMID: 38746368 PMCID: PMC11092687 DOI: 10.1101/2024.04.29.24306516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Importance Cannabis is increasingly being used to treat medical symptoms, but the effects of cannabis use on brain function in those using cannabis for these symptoms is not known. Objective To test whether brain activation during working memory, reward, and inhibitory control tasks, areas of cognition impacted by cannabis, showed increases following one year of cannabis use for medical symptoms. Design This observational cohort study took place from July 2017 to July 2020 and is reported on in 2024. Setting Participants were from the greater Boston area. Participants Participants were recruited as part of a clinical trial based on seeking medical cannabis cards for anxiety, depression, pain, or sleep disorders, and were between 18 and 65 years. Exclusion criteria were daily cannabis use and cannabis use disorder at baseline. Main Outcomes and Measures Outcomes were whole brain functional activation during tasks involving working memory, reward and inhibitory control at baseline and after one year of cannabis use. Results Imaging was collected in participants before and one year after obtaining medical cannabis cards; 57 at baseline (38 female [66.7%]; mean [SD] age, 38.0 [14.6] years) at baseline, and 54 at one-year (37 female [68.5%]; mean [SD] age, 38.7 [14.3] years). Imaging was also collected in 32 healthy control participants (22 female [68.8%]; mean [SD] age, 33.8 [11.8] years) at baseline. In all groups and at both time points, functional imaging revealed canonical activations of the probed cognitive processes. No statistically significant difference in brain activation between the two timepoints (baseline and one-year) in those with medical cannabis cards and no association of changes in cannabis use frequency with brain activation were found. Conclusions and Relevance Findings suggest that adults do not show significant neural effects in the areas of cognition of working memory, reward, and inhibitory control after one year of cannabis use for medical symptoms. The results warrant further studies that probe effects of cannabis at higher doses, with greater frequency, in younger age groups, and with larger, more diverse cohorts. Trial Registration NCT03224468, https://clinicaltrials.gov/.
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Affiliation(s)
- Debbie Burdinski
- McGovern Institute for Brain Research, MIT, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Alisha Kodibagkar
- McGovern Institute for Brain Research, MIT, Cambridge, MA
- University of Pennsylvania School of Engineering and Applied Science, Philadelphia, PA
| | - Kevin Potter
- Harvard Medical School, Boston, MA
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA
| | - Randi Schuster
- Harvard Medical School, Boston, MA
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA
| | - A Eden Evins
- Harvard Medical School, Boston, MA
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA
| | - Satrajit Ghosh
- McGovern Institute for Brain Research, MIT, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Jodi Gilman
- Harvard Medical School, Boston, MA
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital
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3
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Neal J, Song I, Katz B, Lee TH. Association of Intrinsic Functional Connectivity between the Locus Coeruleus and Salience Network with Attentional Ability. J Cogn Neurosci 2023; 35:1557-1569. [PMID: 37584586 DOI: 10.1162/jocn_a_02036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
The locus coeruleus (LC) is a brainstem region associated with broad neural arousal because of norepinephrine production, but it has increasingly been associated with specific cognitive processes. These include sustained attention, with deficits associated with various neuropsychological disorders. Neural models of attention deficits have focused on interrupted dynamics between the salience network (SAL) with the frontoparietal network, which has been associated with task-switching and processing of external stimuli, respectively. Conflicting findings for these regions suggest the possibility of upstream signaling leading to attention dysfunction, and recent research suggests LC involvement. In this study, resting-state functional connectivity and behavioral performance on an attention task was examined within 584 individuals. Analysis revealed significant clusters connected to LC activity in the SAL. Given previous findings that attention deficits may be caused by SAL network switching dysfunctions, findings here further suggest that dysfunction in LC-SAL connectivity may impair attention.
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Sesa-Ashton G, Wong R, McCarthy B, Datta S, Henderson LA, Dawood T, Macefield VG. Stimulation of the dorsolateral prefrontal cortex modulates muscle sympathetic nerve activity and blood pressure in humans. Cereb Cortex Commun 2022; 3:tgac017. [PMID: 35559424 PMCID: PMC9086585 DOI: 10.1093/texcom/tgac017] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 04/06/2022] [Accepted: 04/09/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Muscle sympathetic nerve activity (MSNA) controls the diameter of arterioles in skeletalmuscle, contributing importantly to the beat-to-beat regulation of blood pressure (BP). Although brain imaging studies have shown that bursts of MSNA originate in the rostral ventrolateral medulla, other subcortical and cortical structures-including the dorsolateral prefrontal cortex (dlPFC)-contribute. Hypothesis We tested the hypothesis that MSNA and BP could be modulated by stimulating the dlPFC. Method dlPFC. In 22 individuals MSNA was recorded via microelectrodes inserted into the common peroneal nerve, together with continuous BP, electrocardiographic, and respiration.Stimulation of the right (n=22) or left dlPFC (n=10) was achieved using transcranial alternating current (tcACS; +2 to -2mA, 0.08 Hz,100 cycles), applied between the nasion and electrodes over the F3 or F4 EEG sites on the scalp. Results Sinusoidal stimulation of either dlPFC caused cyclicmodulation of MSNA, BP and heart rate, and a significant increase in BP. Conclusion We have shown, for the first time, that tcACS of the dlPFC in awake humans causes partial entrainment of MSNA, heart rate and BP, arguing for an important role of this higher-level cortical area in the control of cardiovascular function.
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Affiliation(s)
- Gianni Sesa-Ashton
- Baker Heart and Diabetes Institute, Human Autonomic Neurophysiology, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Rebecca Wong
- Baker Heart and Diabetes Institute, Human Autonomic Neurophysiology, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Brendan McCarthy
- Baker Heart and Diabetes Institute, Human Autonomic Neurophysiology, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Sudipta Datta
- Baker Heart and Diabetes Institute, Human Autonomic Neurophysiology, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Luke A Henderson
- School of Medical Sciences (Neuroscience), Brain and Mind Centre, The University of Sydney, NSW 2050, Australia
| | - Tye Dawood
- Baker Heart and Diabetes Institute, Human Autonomic Neurophysiology, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Vaughan G Macefield
- Baker Heart and Diabetes Institute, Human Autonomic Neurophysiology, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Parkville, VIC 3010, Australia
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5
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Kroon E, Kuhns LN, Kaag AM, Filbey F, Cousijn J. The role of sex in the association between cannabis use and working memory-related brain activity. J Neurosci Res 2022; 100:1347-1358. [PMID: 35293008 PMCID: PMC9311233 DOI: 10.1002/jnr.25041] [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: 07/12/2021] [Revised: 01/18/2022] [Accepted: 02/18/2022] [Indexed: 11/26/2022]
Abstract
Although cannabis use patterns differ between men and women, studies on sex differences on the effects of cannabis on the brain and cognitive control are largely lacking. Working memory (WM) is a component of cognitive control believed to be involved in the development and maintenance of addiction. In this study, we evaluated the association between cannabis use and WM (load) related brain activity in a large sample, enabling us to assess sex effects in this association. The brain activity of 104 frequent cannabis users (63% men) and 85 controls (53% men) was recorded during an N‐back WM task. Behavioral results showed a significant interaction between WM load and group for both accuracy and reaction time, with cannabis users showing a relatively larger decrease in performance with increasing WM load. Cannabis users compared to controls showed a relatively smaller reduction in WM (load) related activity in the precuneus and posterior cingulate cortex at higher WM load. This WM (load) related activity was not associated with performance nor cannabis use and related problems. An exploratory analysis showed higher WM‐related activity in the superior frontal gyrus in men compared to women. While cannabis users showed higher WM (load) related activity in central nodes of the default mode network, this was not directly attributable to group specific worsening of performance under higher cognitive load. Further research is necessary to assess whether observed group differences increase with higher cognitive load, how group differences relate to measures of cannabis use, and how sex affects these group differences.
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Affiliation(s)
- Emese Kroon
- Neuroscience of Addiction Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.,The Amsterdam Brain and Cognition Center (ABC), University of Amsterdam, Amsterdam, The Netherlands
| | - Lauren N Kuhns
- Neuroscience of Addiction Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.,The Amsterdam Brain and Cognition Center (ABC), University of Amsterdam, Amsterdam, The Netherlands
| | - Anne Marije Kaag
- The Amsterdam Brain and Cognition Center (ABC), University of Amsterdam, Amsterdam, The Netherlands.,Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Francesca Filbey
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas, USA
| | - Janna Cousijn
- Neuroscience of Addiction Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.,The Amsterdam Brain and Cognition Center (ABC), University of Amsterdam, Amsterdam, The Netherlands.,Department of Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
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6
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Binkowska AA, Jakubowska N, Krystecka K, Galant N, Piotrowska-Cyplik A, Brzezicka A. Theta and Alpha Oscillatory Activity During Working Memory Maintenance in Long-Term Cannabis Users: The Importance of the Polydrug Use Context. Front Hum Neurosci 2021; 15:740277. [PMID: 34733146 PMCID: PMC8558244 DOI: 10.3389/fnhum.2021.740277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Impairments in various subdomains of memory have been associated with chronic cannabis use, but less is known about their neural underpinnings, especially in the domain of the brain's oscillatory activity. Aims: To investigate neural oscillatory activity supporting working memory (WM) in regular cannabis users and non-using controls. We focused our analyses on frontal midline theta and posterior alpha asymmetry as oscillatory fingerprints for the WM's maintenance process. Methods: 30 non-using controls (CG) and 57 regular cannabis users-27 exclusive cannabis users (CU) and 30 polydrug cannabis users (PU) completed a Sternberg modified WM task with a concurrent electroencephalography recording. Theta, alpha and beta frequency bands were examined during WM maintenance. Results: When compared to non-using controls, the PU group displayed increased frontal midline theta (FMT) power during WM maintenance, which was positively correlated with RT. The posterior alpha asymmetry during the maintenance phase, on the other hand, was negatively correlated with RT in the CU group. WM performance did not differ between groups. Conclusions: Both groups of cannabis users (CU and PU), when compared to the control group, displayed differences in oscillatory activity during WM maintenance, unique for each group (in CU posterior alpha and in PU FMT correlated with performance). We interpret those differences as a reflection of compensatory strategies, as there were no differences between groups in task performance. Understanding the psychophysiological processes in regular cannabis users may provide insight on how chronic use may affect neural networks underlying cognitive processes, however, a polydrug use context (i.e., combining cannabis with other illegal substances) seems to be an important factor.
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Affiliation(s)
| | - Natalia Jakubowska
- SWPS University of Social Sciences and Humanities, Warsaw, Poland.,Polish-Japanese Academy of Information Technology, Warsaw, Poland
| | | | | | | | - Aneta Brzezicka
- SWPS University of Social Sciences and Humanities, Warsaw, Poland
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7
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Wang D, Liang S. Dynamic Causal Modeling on the Identification of Interacting Networks in the Brain: A Systematic Review. IEEE Trans Neural Syst Rehabil Eng 2021; 29:2299-2311. [PMID: 34714747 DOI: 10.1109/tnsre.2021.3123964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses. Previous reviews have highlighted the understanding of the conceptual basis behind DCM and its variants from different aspects. However, no detailed summary or classification research on the task-related effective connectivity of various brain regions has been made formally available so far, and there is also a lack of application analysis of DCM for hemodynamic and electrophysiological measurements. This review aims to analyze the effective connectivity of different brain regions using DCM for different measurement data. We found that, in general, most studies focused on the networks between different cortical regions, and the research on the networks between other deep subcortical nuclei or between them and the cerebral cortex are receiving increasing attention, but far from the same scale. Our analysis also reveals a clear bias towards some task types. Based on these results, we identify and discuss several promising research directions that may help the community to attain a clear understanding of the brain network interactions under different tasks.
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8
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Snyder AD, Ma L, Steinberg JL, Woisard K, Moeller FG. Dynamic Causal Modeling Self-Connectivity Findings in the Functional Magnetic Resonance Imaging Neuropsychiatric Literature. Front Neurosci 2021; 15:636273. [PMID: 34456665 PMCID: PMC8385130 DOI: 10.3389/fnins.2021.636273] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 06/07/2021] [Indexed: 11/15/2022] Open
Abstract
Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI) and other functional neuroimaging data that provides information about directionality of connectivity between brain regions. A review of the neuropsychiatric fMRI DCM literature suggests that there may be a historical trend to under-report self-connectivity (within brain regions) compared to between brain region connectivity findings. These findings are an integral part of the neurologic model represented by DCM and serve an important neurobiological function in regulating excitatory and inhibitory activity between regions. We reviewed the literature on the topic as well as the past 13 years of available neuropsychiatric DCM literature to find an increasing (but still, perhaps, and inadequate) trend in reporting these results. The focus of this review is fMRI as the majority of published DCM studies utilized fMRI and the interpretation of the self-connectivity findings may vary across imaging methodologies. About 25% of articles published between 2007 and 2019 made any mention of self-connectivity findings. We recommend increased attention toward the inclusion and interpretation of self-connectivity findings in DCM analyses in the neuropsychiatric literature, particularly in forthcoming effective connectivity studies of substance use disorders.
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Affiliation(s)
- Andrew D Snyder
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Radiology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Kyle Woisard
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Frederick G Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Neurology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
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Roberts BZ, Minassian A, Halberstadt AL, He YV, Chatha M, Geyer MA, Grant I, Young JW. HIV Transgenic Rats Demonstrate Impaired Sensorimotor Gating But Are Insensitive to Cannabinoid (Δ9-Tetrahydrocannabinol)-Induced Deficits. Int J Neuropsychopharmacol 2021; 24:894-906. [PMID: 34338765 PMCID: PMC8598295 DOI: 10.1093/ijnp/pyab053] [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: 11/16/2020] [Revised: 05/24/2021] [Accepted: 07/30/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND HIV-associated neurocognitive disorder (HAND) is commonly observed in persons living with HIV (PWH) and is characterized by cognitive deficits implicating disruptions of fronto-striatal neurocircuitry. Such circuitry is also susceptible to alteration by cannabis and other drugs of abuse. PWH use cannabis at much higher rates than the general population, thus prioritizing the characterization of any interactions between HIV and cannabinoids on cognitively relevant systems. Prepulse inhibition (PPI) of the startle response, the process by which the motor response to a startling stimulus is attenuated by perception of a preceding non-startling stimulus, is an operational assay of fronto-striatal circuit integrity that is translatable across species. PPI is reduced in PWH. The HIV transgenic (HIVtg) rat model of HIV infection mimics numerous aspects of HAND, although to date the PPI deficit observed in PWH has yet to be fully recreated in animals. METHODS PPI was measured in male and female HIVtg rats and wild-type controls following acute, nonconcurrent treatment with the primary constituents of cannabis: Δ 9-tetrahydrocannabinol (THC; 1 and 3 mg/kg, s.c.) and cannabidiol (1, 10, and 30 mg/kg, i.p.). RESULTS HIVtg rats exhibited a significant PPI deficit relative to wild-type controls. THC reduced PPI in controls but not HIVtg rats. Cannabidiol exerted only minor, genotype-independent effects on PPI. CONCLUSIONS HIVtg rats exhibit a relative insensitivity to the deleterious effects of THC on the fronto-striatal function reflected by PPI, which may partially explain the higher rates of cannabis use among PWH.
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Affiliation(s)
- Benjamin Z Roberts
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Arpi Minassian
- Department of Psychiatry, University of California, San Diego, California, USA,VA Center of Excellence for Stress and Mental Health, Veterans Administration San Diego HealthCare System, San Diego, California, USA
| | - Adam L Halberstadt
- Department of Psychiatry, University of California, San Diego, California, USA,VISN-22 Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA
| | - Yinong V He
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Muhammad Chatha
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Mark A Geyer
- Department of Psychiatry, University of California, San Diego, California, USA,VISN-22 Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA
| | - Igor Grant
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Jared W Young
- Department of Psychiatry, University of California, San Diego, California, USA,VISN-22 Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA,Correspondence: Jared W. Young, PhD, Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804, USA ()
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10
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Dai P, Zhou X, Ou Y, Xiong T, Zhang J, Chen Z, Zou B, Wei X, Wu Y, Xiao M. Altered Effective Connectivity of Children and Young Adults With Unilateral Amblyopia: A Resting-State Functional Magnetic Resonance Imaging Study. Front Neurosci 2021; 15:657576. [PMID: 34295218 PMCID: PMC8290343 DOI: 10.3389/fnins.2021.657576] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 05/21/2021] [Indexed: 01/02/2023] Open
Abstract
The altered functional connectivity (FC) in amblyopia has been investigated by many studies, but the specific causality of brain connectivity needs to be explored further to understand the brain activity of amblyopia. We investigated whether the effective connectivity (EC) of children and young adults with amblyopia was altered. The subjects included 16 children and young adults with left eye amblyopia and 17 healthy controls (HCs). The abnormalities between the left/right primary visual cortex (PVC) and the other brain regions were investigated in a voxel-wise manner using the Granger causality analysis (GCA). According to the EC results in the HCs and the distribution of visual pathways, 12 regions of interest (ROIs) were selected to construct an EC network. The alteration of the EC network of the children and young adults with amblyopia was analyzed. In the voxel-wise manner analysis, amblyopia showed significantly decreased EC between the left/right of the PVC and the left middle frontal gyrus/left inferior frontal gyrus compared with the HCs. In the EC network analysis, compared with the HCs, amblyopia showed significantly decreased EC from the left calcarine fissure, posterior cingulate gyrus, left lingual gyrus, right lingual gyrus, and right fusiform gyrus to the right calcarine fissure. Amblyopia also showed significantly decreased EC from the right inferior frontal gyrus and right lingual gyrus to the left superior temporal gyrus compared with the HCs in the EC network analysis. The results may indicate that amblyopia altered the visual feedforward and feedback pathway, and amblyopia may have a greater relevance with the feedback pathway than the feedforward pathway. Amblyopia may also correlate with the feedforward of the third visual pathway.
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Affiliation(s)
- Peishan Dai
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Xiaoyan Zhou
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Yilin Ou
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Tong Xiong
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Jinlong Zhang
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Zailiang Chen
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Beiji Zou
- School of Computer Science and Engineering, Central South University, Changsha, China.,Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha, China
| | - Xin Wei
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Ying Wu
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Manyi Xiao
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
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11
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Arias AJ, Ma L, Bjork JM, Hammond CJ, Zhou Y, Snyder A, Moeller FG. Altered effective connectivity of the reward network during an incentive-processing task in adults with alcohol use disorder. Alcohol Clin Exp Res 2021; 45:1563-1577. [PMID: 34120362 DOI: 10.1111/acer.14650] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 04/13/2021] [Accepted: 05/24/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Abnormalities of reward sensitivity and impulsivity are known to be correlated with each other and alcohol use disorder (AUD) risk, but the underlying aberrant neural circuitry involved is not clearly defined. We sought to extend the current knowledge of AUD pathophysiology by studying incentive processing in persons with AUD using functional neuroimaging data. METHODS We utilized functional MRI data from the Human Connectome Project Database obtained during performance of a number-guessing incentive-processing task with win, loss, and neutral feedback conditions in 78 participants with either DSM-IV alcohol abuse or dependence (combined as the AUD group) and 78 age- and sex-matched control (CON) participants. Within a network consisting of anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), insula, ventral striatum, and dorsal striatum (DS) in the right hemisphere, we performed dynamic causal modeling analysis to test group-level differences (AUD vs. CON) in effective directional connectivity (EC) as modulated by "win" and "loss" conditions. We used linear regression analyses to characterize the relations between each EC outcome and measures of cumulative alcohol exposure and impulsivity. RESULTS During wins, AUD participants had lower ECs from ACC to the other four nodes, greater ECs from insula to the other four nodes, greater ECs from DLPFC to the other four nodes, and greater DS to DS self-connection EC than CON participants. In the total sample, EC from the insula to the DLPFC (insula → DLPFC) during wins was positively correlated with both impulsivity (as measured by the delay-discounting task) and cumulative alcohol exposure. The DS to DS self-connection EC during wins was positively correlated with impulsivity. Many of the altered ECs from the ACC and insula to other nodes were correlated with cumulative alcohol exposure. CONCLUSIONS Individuals with AUD have disrupted EC in both instrumentally driven and automatized corticostriatal reward circuits during non-alcohol reward feedback. These results point to disrupted corticostriatal EC in both "top-down" and "bottom-up" pathways among individuals with AUD.
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Affiliation(s)
- Albert J Arias
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA
| | - James M Bjork
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA
| | | | - Yi Zhou
- Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA
| | - Andrew Snyder
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA
| | - Frederick Gerard Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Pharmacology and Toxicology, Virginia Commonwealth University (VCU), Richmond, VA, USA.,Department of Neurology, Virginia Commonwealth University (VCU), Richmond, VA, USA
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12
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Bechtel S, Lazar V, Albuisson E, Schwan R, Laprévote V, Bernardin F, Schwitzer T. Assessment of neuropsychological impairments in regular cannabis users. Encephale 2021; 48:132-138. [PMID: 34092379 DOI: 10.1016/j.encep.2021.02.013] [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: 08/28/2020] [Revised: 01/11/2021] [Accepted: 02/01/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Cannabis is the most widely used illicit drug in the world. It is responsible for cognitive dysfunction of memory, speed of information processing, attention, and executive functions. Cognitive performance depends on the level of study, tolerance, and duration of abstinence from cannabis use. This study analyses cognitive function in a large population of regular cannabis consumers taking into account level of education. METHODS A battery of neuropsychological tests using the Cambridge Neuropsychological Test Automated Battery was performed on a population of 58 cannabis users categorized into two groups according to their level of education with a threshold of 12 years of study, and 25 non-users. RESULTS In Attention Switching Task percent correct trials, significant differences were found between the group of cannabis smokers with less than 12 years of study and the non-smoker group (P=0.022), and between the cannabis users with more than 12 years of study and the non-smoker group (P=0.008). A significantly lower performance in the Rapid Visual Information Processing (Mean latency, Probability of hit, Total hits, Total misses, Correct rejections) was found in the cannabis users with less than 12 years of study compared with the non-user group. CONCLUSION In our population, chronic cannabis users presented divided and sustained attention and working memory disorders. Rapid Visual Information Processing performance may be influenced by education level in cannabis smokers.
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Affiliation(s)
- S Bechtel
- Pôle hospitalo-universitaire de psychiatrie d'adultes du Grand Nancy, centre psychothérapique de Nancy, 1, rue du Docteur Archambault, 54521 Laxou, France
| | - V Lazar
- Pôle hospitalo-universitaire de psychiatrie d'adultes du Grand Nancy, centre psychothérapique de Nancy, 1, rue du Docteur Archambault, 54521 Laxou, France
| | - E Albuisson
- Unité de méthodologie, DRCI, BIOBASE, département MPI, data management et statistique UMDS, CHRU-Nancy, 54000 Nancy, France; Université de Lorraine, Faculté de Médecine, Département du Grand Est de Recherche en Soins Primaires : DEGERESP, 54000 Nancy, France; CNRS, IECL, université de Lorraine, 54000 Nancy, France
| | - R Schwan
- Pôle hospitalo-universitaire de psychiatrie d'adultes du Grand Nancy, centre psychothérapique de Nancy, 1, rue du Docteur Archambault, 54521 Laxou, France; Maison des addictions, CHRU Nancy, Nancy, France; IADI, U1254, INSERM, Université de Lorraine, CHRU de Nancy Brabois, Nancy, France
| | - V Laprévote
- Pôle hospitalo-universitaire de psychiatrie d'adultes du Grand Nancy, centre psychothérapique de Nancy, 1, rue du Docteur Archambault, 54521 Laxou, France; Inserm U1114, fédération de médecine translationnelle de Strasbourg, département de psychiatrie, centre hospitalier régional universitaire de Strasbourg, 67000 Strasbourg, France
| | - F Bernardin
- Pôle hospitalo-universitaire de psychiatrie d'adultes du Grand Nancy, centre psychothérapique de Nancy, 1, rue du Docteur Archambault, 54521 Laxou, France; Inserm U1114, fédération de médecine translationnelle de Strasbourg, département de psychiatrie, centre hospitalier régional universitaire de Strasbourg, 67000 Strasbourg, France
| | - T Schwitzer
- Pôle hospitalo-universitaire de psychiatrie d'adultes du Grand Nancy, centre psychothérapique de Nancy, 1, rue du Docteur Archambault, 54521 Laxou, France; IADI, U1254, INSERM, Université de Lorraine, CHRU de Nancy Brabois, Nancy, France.
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13
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Oyama K, Hori Y, Nagai Y, Miyakawa N, Mimura K, Hirabayashi T, Inoue KI, Suhara T, Takada M, Higuchi M, Minamimoto T. Chemogenetic dissection of the primate prefronto-subcortical pathways for working memory and decision-making. SCIENCE ADVANCES 2021; 7:7/26/eabg4246. [PMID: 34162548 PMCID: PMC8221616 DOI: 10.1126/sciadv.abg4246] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 05/10/2021] [Indexed: 05/09/2023]
Abstract
The primate prefrontal cortex (PFC) is situated at the core of higher brain functions via neural circuits such as those linking the caudate nucleus and mediodorsal thalamus. However, the distinctive roles of these prefronto-subcortical pathways remain elusive. Combining in vivo neuronal projection mapping with chemogenetic synaptic silencing, we reversibly dissected key pathways from dorsolateral part of the PFC (dlPFC) to the dorsal caudate (dCD) and lateral mediodorsal thalamus (MDl) individually in single monkeys. We found that silencing the bilateral dlPFC-MDl projections, but not the dlPFC-dCD projections, impaired performance in a spatial working memory task. Conversely, silencing the unilateral dlPFC-dCD projection, but not the unilateral dlPFC-MDl projection, altered preference in a decision-making task. These results revealed dissociable roles of the prefronto-subcortical pathways in working memory and decision-making, representing the technical advantage of imaging-guided pathway-selective chemogenetic manipulation for dissecting neural circuits underlying cognitive functions in primates.
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Affiliation(s)
- Kei Oyama
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Yukiko Hori
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Yuji Nagai
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Naohisa Miyakawa
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Koki Mimura
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Toshiyuki Hirabayashi
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Ken-Ichi Inoue
- Systems Neuroscience Section, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan
- PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan
| | - Tetsuya Suhara
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Masahiko Takada
- Systems Neuroscience Section, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan
| | - Makoto Higuchi
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan
| | - Takafumi Minamimoto
- Department of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba 263-8555 Japan.
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14
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Meng D, Welton T, Elsarraj A, Morgan PS, das Nair R, Constantinescu CS, Evangelou N, Auer DP, Dineen RA. Dorsolateral prefrontal circuit effective connectivity mediates the relationship between white matter structure and PASAT-3 performance in multiple sclerosis. Hum Brain Mapp 2021; 42:495-509. [PMID: 33073920 PMCID: PMC7776003 DOI: 10.1002/hbm.25239] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/21/2020] [Accepted: 09/29/2020] [Indexed: 11/15/2022] Open
Abstract
Three decades ago a series of parallel circuits were described involving the frontal cortex and deep grey matter structures, with putative roles in control of motor and oculomotor function, cognition, behaviour and emotion. The circuit comprising the dorsolateral prefrontal cortex, caudate, globus pallidus and thalamus has a putative role in regulating executive functions. The aim of this study is to investigate effective connectivity (EC) of the dorsolateral-prefrontal circuit and its association with PASAT-3 performance in people with multiple sclerosis(MS). We use Granger causality analysis of resting-state functional MRI from 52 people with MS and 36 healthy people to infer that reduced EC in the afferent limb of the dorsolateral prefrontal circuit occurs in the people with MS with cognitive dysfunction (left: p = .006; right: p = .029), with bilateral EC reductions in this circuit resulting in more severe cognitive dysfunction than unilateral reductions alone (p = .002). We show that reduced EC in the afferent limb of the dorsolateral prefrontal circuit mediates the relationship between cognitive performance and macrostrucutral and microstructural alterations of white matter tracts in components of the circuit. Specificity is shown by the absence of any relationship between cognition and EC in the analogous and anatomically proximal motor circuit. We demonstrate good stability of the EC measures in people with MS over an interval averaging 8-months. Key positive and negative results are replicated in an independent cohort of people with MS. Our findings identify the dorsolateral prefrontal circuit as a potential target for therapeutic strategies aimed at improving cognition in people with MS.
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Affiliation(s)
- Dewen Meng
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
| | - Thomas Welton
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- National Neuroscience InstituteTan Tock Seng HospitalSingaporeSingapore
| | - Afaf Elsarraj
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
| | - Paul S. Morgan
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
- Medical Physics and Clinical EngineeringNottingham University Hospitals NHS TrustNottinghamUK
| | - Roshan das Nair
- Institute of Mental HealthUniversity of NottinghamNottinghamUK
- Division of Psychiatry & Applied Psychology, School of MedicineUniversity of NottinghamNottinghamUK
| | - Cris S. Constantinescu
- Clinical Neurology, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
| | - Nikos Evangelou
- Clinical Neurology, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
| | - Dorothee P. Auer
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
| | - Rob A. Dineen
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
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15
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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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16
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Klugah-Brown B, Di X, Zweerings J, Mathiak K, Becker B, Biswal B. Common and separable neural alterations in substance use disorders: A coordinate-based meta-analyses of functional neuroimaging studies in humans. Hum Brain Mapp 2020; 41:4459-4477. [PMID: 32964613 PMCID: PMC7555084 DOI: 10.1002/hbm.25085] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/12/2022] Open
Abstract
Delineating common and separable neural alterations in substance use disorders (SUD) is imperative to understand the neurobiological basis of the addictive process and to inform substance‐specific treatment strategies. Given numerous functional MRI (fMRI) studies in different SUDs, a meta‐analysis could provide an opportunity to determine robust shared and substance‐specific alterations. The present study employed a coordinate‐based meta‐analysis covering fMRI studies in individuals with addictive cocaine, cannabis, alcohol, and nicotine use. The primary meta‐analysis demonstrated common alterations in primary dorsal striatal, and frontal circuits engaged in reward/salience processing, habit formation, and executive control across different substances and task‐paradigms. Subsequent sub‐analyses revealed substance‐specific alterations in frontal and limbic regions, with marked frontal and insula‐thalamic alterations in alcohol and nicotine use disorders respectively. Examining task‐specific alterations across substances revealed pronounced frontal alterations during cognitive processes yet stronger striatal alterations during reward‐related processes. Finally, an exploratory meta‐analysis revealed that neurofunctional alterations in striatal and frontal reward processing regions can already be determined with a high probability in studies with subjects with comparably short durations of use. Together the findings emphasize the role of dysregulations in frontostriatal circuits and dissociable contributions of these systems in the domains of reward‐related and cognitive processes which may contribute to substance‐specific behavioral alterations.
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Affiliation(s)
- Benjamin Klugah-Brown
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Jana Zweerings
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,JARA Translational Brain Medicine, RWTH Aachen, Aachen, Germany
| | - Klaus Mathiak
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,JARA Translational Brain Medicine, RWTH Aachen, Aachen, Germany
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Bharat Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
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17
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Ma L, Steinberg JL, Bjork JM, Wang Q, Hettema JM, Abbate A, Moeller FG. Altered Effective Connectivity of Central Autonomic Network in Response to Negative Facial Expression in Adults With Cannabis Use Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:84-96. [PMID: 31345781 PMCID: PMC8598077 DOI: 10.1016/j.bpsc.2019.05.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 05/06/2019] [Accepted: 05/28/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Cannabis use is associated with an increased risk of stress-related adverse cardiovascular events. Because brain regions of the central autonomic network largely overlap with brain regions related to the neural response to emotion and stress, the central autonomic network may mediate the autonomic response to negative emotional stimuli. We aimed to obtain evidence to determine whether neural connectivity of the central autonomic network is altered in individuals with cannabis use disorder (CUD) when they are exposed to negative emotional stimuli. METHODS Effective (directional) connectivity (EC) analysis using dynamic causal modeling was applied to functional magnetic resonance imaging data acquired from 23 subjects with CUD and 23 control subjects of the Human Connectome Project while they performed an emotional face-matching task with interleaving periods of negative-face (fearful/angry) and neutral-shape stimuli. The EC difference (modulatory change) was measured during the negative-face trials relative to the neutral-shape trials. RESULTS The CUD group was similar to the control group in nonimaging measures and brain activations but showed greater modulatory changes in left amygdala to hypothalamus EC (positively associated with Perceived Stress Scale score), right amygdala to bilateral fusiform gyri ECs (positively associated with Perceived Stress Scale score), and left ventrolateral prefrontal cortex to bilateral fusiform gyri ECs (negatively associated with Perceived Stress Scale score). CONCLUSIONS Left amygdala to hypothalamus EC and right amygdala to bilateral fusiform gyri ECs are possibly part of circuits underlying the risk of individuals with CUD to stress-related disorders. Correspondingly, left ventrolateral prefrontal cortex to bilateral fusiform gyri ECs are possibly part of circuits reflecting a protective 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.
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - James M Bjork
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Qin Wang
- Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, Alabama
| | - John M Hettema
- 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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18
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Lopez-Vergara HI, Jackson KM, Meshesha LZ, Metrik J. Dysregulation as a correlate of cannabis use and problem use. Addict Behav 2019; 95:138-144. [PMID: 30913511 DOI: 10.1016/j.addbeh.2019.03.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 02/19/2019] [Accepted: 03/17/2019] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Cannabis users with a dysregulatory risk factor may be particularly vulnerable to engaging in more frequent and problematic cannabis use. Contemporary models of dysregulated behavior suggest that dysregulation emerges due to distinct mechanisms. The current study seeks to examine the dysregulatory correlates of cannabis involvement, including working memory capacity, delay discounting, impulsivity, and reward sensitivity. METHOD Participants were 104 non-treatment seeking frequent cannabis users (the average participant used cannabis 71% of the days/past 60 days [SD = 22%], with an average of two uses per day [SD = 1.2]). Mean age was 21.3 (SD = 4.3); 36.5% were female. Working memory was assessed via the Trail-Making Test-B and the Digit Span subtests of the WAIS-III, delay discounting was assessed via a computer-based task, trait impulsivity was self-reported via the Barratt Impulsiveness Scale, and reward sensitivity was self-reported via the Reward Dependence Scale and the Snaith-Hamilton Pleasure Scale. RESULTS Structural equation modeling estimated the associations between different facets of dysregulation and cannabis involvement. Results suggest that poor working memory capacity and high trait impulsivity were associated with both use and problem use. Greater delay discounting was associated with problem use, but not with frequency of use. Low reward sensitivity was associated with more frequent cannabis use, but not with problem use. CONCLUSIONS Results confirm that the dysregulatory correlates of cannabis involvement consist of multiple dimensions of functioning. Prospective studies that assess the multidimensional structure of dysregulation and cannabis involvement are needed in order to disaggregate the dysregulatory antecedents and consequences of cannabis involvement.
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Affiliation(s)
- Hector I Lopez-Vergara
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States of America
| | - Kristina M Jackson
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States of America
| | - Lidia Z Meshesha
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States of America
| | - Jane Metrik
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States of America; Providence VA Medical Center, Providence, RI 02908, United States of America.
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19
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Kim DJ, Schnakenberg Martin AM, Shin YW, Jo HJ, Cheng H, Newman SD, Sporns O, Hetrick WP, Calkins E, O'Donnell BF. Aberrant structural-functional coupling in adult cannabis users. Hum Brain Mapp 2018; 40:252-261. [PMID: 30203892 DOI: 10.1002/hbm.24369] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 08/09/2018] [Accepted: 08/11/2018] [Indexed: 12/13/2022] Open
Abstract
Cellular studies indicate that endocannabinoid type-1 retrograde signaling plays a major role in synaptic plasticity. Disruption of these processes by delta-9-tetrahydrocannabinol (THC) could produce alterations either in structural and functional brain connectivity or in their association in cannabis (CB) users. Graph theoretic structural and functional networks were generated with diffusion tensor imaging and resting-state functional imaging in 37 current CB users and 31 healthy non-users. The primary outcome measures were coupling between structural and functional connectivity, global network characteristics, association between the coupling and network properties, and measures of rich-club organization. Structural-functional (SC-FC) coupling was globally preserved showing a positive association in current CB users. However, the users had disrupted associations between SC-FC coupling and network topological characteristics, most perturbed for shorter connections implying region-specific disruption by CB use. Rich-club analysis revealed impaired SC-FC coupling in the hippocampus and caudate of users. This study provides evidence of the abnormal SC-FC association in CB users. The effect was predominant in shorter connections of the brain network, suggesting that the impact of CB use or predispositional factors may be most apparent in local interconnections. Notably, the hippocampus and caudate specifically showed aberrant structural and functional coupling. These structures have high CB1 receptor density and may also be associated with changes in learning and habit formation that occur with chronic cannabis use.
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Affiliation(s)
- Dae-Jin Kim
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana
| | | | - Yong-Wook Shin
- Department of Psychiatry, Ulsan University School of Medicine, ASAN Medical Center, Seoul, South Korea
| | - Hang Joon Jo
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Hu Cheng
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana.,Imaging Research Facility, Indiana University, Bloomington, Indiana
| | - Sharlene D Newman
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana.,Imaging Research Facility, Indiana University, Bloomington, Indiana
| | - Olaf Sporns
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana.,Indiana University Network Science Institute, Indiana University, Bloomington, Indiana
| | - William P Hetrick
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana
| | - Eli Calkins
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana
| | - Brian F O'Donnell
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana
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