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Li X, Ramos-Rolón AP, Kass G, Pereira-Rufino LS, Shifman N, Shi Z, Volkow ND, Wiers CE. Imaging neuroinflammation in individuals with substance use disorders. J Clin Invest 2024; 134:e172884. [PMID: 38828729 PMCID: PMC11142750 DOI: 10.1172/jci172884] [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: 06/05/2024] Open
Abstract
Increasing evidence suggests a role of neuroinflammation in substance use disorders (SUDs). This Review presents findings from neuroimaging studies assessing brain markers of inflammation in vivo in individuals with SUDs. Most studies investigated the translocator protein 18 kDa (TSPO) using PET; neuroimmune markers myo-inositol, choline-containing compounds, and N-acetyl aspartate using magnetic resonance spectroscopy; and fractional anisotropy using MRI. Study findings have contributed to a greater understanding of neuroimmune function in the pathophysiology of SUDs, including its temporal dynamics (i.e., acute versus chronic substance use) and new targets for SUD treatment.
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Affiliation(s)
- Xinyi Li
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Astrid P. Ramos-Rolón
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Gabriel Kass
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Lais S. Pereira-Rufino
- Departamento de Morfologia e Genética, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Naomi Shifman
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Zhenhao Shi
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Nora D. Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland, USA
| | - Corinde E. Wiers
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
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2
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Francis AN, Sebille S, Whitfield-Gabrieli S, Camprodon JA. Multimodal 7T imaging reveals enhanced functional coupling between salience and frontoparietal networks in young adult tobacco cigarette smokers. Brain Imaging Behav 2024:10.1007/s11682-024-00882-x. [PMID: 38639847 DOI: 10.1007/s11682-024-00882-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 04/20/2024]
Abstract
Tobacco cigarette smoking is associated with disrupted brain network dynamics in resting brain networks including the Salience (SN) and Fronto parietal (FPN). Unified multimodal methods [Resting state connectivity analysis, Diffusion Tensor Imaging (DTI), neurite orientation dispersion and density imaging (NODDI), and cortical thickness analysis] were employed to test the hypothesis that the impact of cigarette smoking on the balance among these networks is due to alterations in white matter connectivity, microstructural architecture, functional connectivity and cortical thickness (CT) and that these metrics define fundamental differences between people who smoke and nonsmokers. Multimodal analyses of previously collected 7 Tesla MRI data via the Human Connectome Project were performed on 22 people who smoke (average number of daily cigarettes was 10 ± 5) and 22 age- and sex-matched nonsmoking controls. First, functional connectivity analysis was used to examine SN-FPN-DMN interactions between people who smoke and nonsmokers. The anatomy of these networks was then assessed using DTI and CT analyses while microstructural architecture of WM was analyzed using the NODDI toolbox. Seed-based connectivity analysis revealed significantly enhanced within network [p = 0.001 FDR corrected] and between network functional coupling of the salience and R-frontoparietal networks in people who smoke [p = 0.004 FDR corrected]. The network connectivity was lateralized to the right hemisphere. Whole brain diffusion analysis revealed no significant differences between people who smoke and nonsmokers in Fractional Anisotropy, Mean diffusivity and in neurite orienting and density. There were also no significant differences in CT in the hubs of these networks. Our results demonstrate that tobacco cigarette smoking is associated with enhanced functional connectivity, but anatomy is largely intact in young adults. Whether this enhanced connectivity is pre-existing, transient or permanent is not known. The observed enhanced connectivity in resting state networks may contribute to the maintenance of smoking frequency.
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Affiliation(s)
- Alan N Francis
- Department of Neuroscience, University of Texas, Rio Grande Valley, Edinburg, TX, USA.
| | - Sophie Sebille
- Department of Neuroscience GHU Paris Psychiatrie et Neurosciences, Paris, France
| | | | - Joan A Camprodon
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, USA
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3
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Wallace AL, Courtney KE, Wade NE, Hatz LE, Baca R, Jacobson A, Liu TT, Jacobus J. Neurite Orientation Dispersion and Density Imaging (NODDI) of Brain Microstructure in Adolescent Cannabis and Nicotine Use. Behav Sci (Basel) 2024; 14:231. [PMID: 38540534 PMCID: PMC10968201 DOI: 10.3390/bs14030231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/05/2024] [Accepted: 03/11/2024] [Indexed: 04/13/2024] Open
Abstract
INTRODUCTION Despite evidence suggesting deleterious effects of cannabis and nicotine tobacco product (NTP) use on white matter integrity, there have been limited studies examining white matter integrity among users of both cannabis and nicotine. Further, updated white matter methodology provides opportunities to investigate use patterns on neurite orientation dispersion and density (NODDI) indices and subtle tissue changes related to the intra- and extra-neurite compartment. We aimed to investigate how cannabis and NTP use among adolescents and young adults interacts to impact the white matter integrity microstructure. MATERIALS AND METHODS A total of 221 participants between the ages of 16 and 22 completed the Customary Drinking and Drug Use Record (CDDR) to measure substance use, and underwent a magnetic resonance imaging (MRI) session. Participants were divided into NTP-control and NTP groupings and cannabis-control and cannabis groupings (≥26 NTP/cannabis uses in past 6 months). Tract-Based Spatial Statistics (TBSS) and two-way between-subjects ANOVA investigated the effects of NTP use group, cannabis use group, and their interaction on fractional anisotropy (FA) and NODDI indices while controlling for age and biological sex. RESULTS NTP use was associated with decreased FA values and increased orientation dispersion in the left anterior capsule. There were no significant effects of cannabis use or the interaction of NTP and cannabis use on white matter outcomes. DISCUSSION NTP use was associated with altered white matter integrity in an adolescent and young adult sample. Findings suggest that NTP-associated alterations may be linked to altered fiber tract geometry and dispersed neurite structures versus myelination, as well as differential effects of NTP and cannabis use on white matter structure. Future work is needed to investigate how altered white matter is related to downstream behavioral effects from NTP use.
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Affiliation(s)
- Alexander L Wallace
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Kelly E. Courtney
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Natasha E. Wade
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Laura E. Hatz
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Rachel Baca
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
| | - Aaron Jacobson
- Center for Functional MRI and Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Thomas T. Liu
- Center for Functional MRI and Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Joanna Jacobus
- Psychiatry Department, University of California San Diego, La Jolla, CA 92093, USA; (A.L.W.)
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4
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Boer OD, El Marroun H, Muetzel RL. Adolescent substance use initiation and long-term neurobiological outcomes: insights, challenges and opportunities. Mol Psychiatry 2024:10.1038/s41380-024-02471-2. [PMID: 38409597 DOI: 10.1038/s41380-024-02471-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 01/15/2024] [Accepted: 01/30/2024] [Indexed: 02/28/2024]
Abstract
The increased frequency of risk taking behavior combined with marked neuromaturation has positioned adolescence as a focal point of research into the neural causes and consequences of substance use. However, little work has provided a summary of the links between adolescent initiated substance use and longer-term brain outcomes. Here we review studies exploring the long-term effects of adolescent-initiated substance use with structural and microstructural neuroimaging. A quarter of all studies reviewed conducted repeated neuroimaging assessments. Long-term alcohol use, as well as tobacco use were consistently associated with smaller frontal cortices and altered white matter microstructure. This association was mostly observed in the ACC, insula and subcortical regions in alcohol users, and for the OFC in tobacco users. Long-term cannabis use was mostly related to altered frontal cortices and hippocampal volumes. Interestingly, cannabis users scanned more years after use initiation tended to show smaller measures of these regions, whereas those with fewer years since initiation showed larger measures. Long-term stimulant use tended to show a similar trend as cannabis in terms of years since initiation in measures of the putamen, insula and frontal cortex. Long-term opioid use was mostly associated with smaller subcortical and insular volumes. Of note, null findings were reported in all substance use categories, most often in cannabis use studies. In the context of the large variety in study designs, substance use assessment, methods, and sample characteristics, we provide recommendations on how to interpret these findings, and considerations for future studies.
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Affiliation(s)
- Olga D Boer
- Department of Psychology, Education and Child Studies - Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center - Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Hanan El Marroun
- Department of Psychology, Education and Child Studies - Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center - Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center - Sophia Children's Hospital, Rotterdam, The Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
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Zhou Y, Xue T, Cheng Y, Wang J, Dong F, Jia S, Zhang F, Wang X, Lv X, Wang H, Yuan K, Yu D. The changes of intrinsic connectivity contrast in young smokers. Addict Biol 2023; 28:e13347. [PMID: 38017637 DOI: 10.1111/adb.13347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/07/2023] [Accepted: 09/26/2023] [Indexed: 11/30/2023]
Abstract
Previous studies demonstrated that reward circuit plays an important role in smoking. The differences of functional and structural connectivity were found among several brain regions such as thalamus and frontal lobe. However, few studies focused on functional connectivity (FC) in whole-brain voxel level of young smokers. In this study, intrinsic connectivity contrast (ICC) was used to perform voxel-based whole-brain analyses in 55 young smokers and 55 matched non-smokers to identify brain regions with significant group differences. ICC results showed that the connectivity of young smokers in medial frontal cortex (MedFC), supramarginal gyrus anterior division left (L_aSMG), central opercular cortex left (L_CO) and middle frontal gyrus left (L_MidFG) showed a significantly lower trend compared with the non-smokers. The seed-based FC analysis about MedFC indicated that young smokers showed reduced connectivity between the MedFC and left hippocampus, left amygdala compared to non-smokers. Correlation analysis showed that the ICC of MedFC in young smokers was significantly negatively correlated with Fagerstrom test for nicotine dependence (FTND) and Questionnaire on Smoking Urges (QSU). The FC between the MedFC and left hippocampus, left amygdala was significantly negatively correlated with Pack_years. The mediation analysis indicated that ICC of MedFC completely mediated FTND and QSU of young smokers. The results suggest that nicotine accumulation may affect the communication of the frontal lobe with the whole brain to some extent, leading to changes in smoking cravings. The above research also provides in-depth insights into the mechanism of adolescent smoking addiction and related intervention treatment.
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Affiliation(s)
- Yang Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Yongxin Cheng
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Juan Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Shaodi Jia
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Fan Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqing Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqi Lv
- College of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China
| | - Hongde Wang
- Xilinguole Meng Mongolian General Hospital, Xilinhaote, Inner Mongolia, China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
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6
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Yang A, Yang YT, Zhao XM. An augmented Mendelian randomization approach provides causality of brain imaging features on complex traits in a single biobank-scale dataset. PLoS Genet 2023; 19:e1011112. [PMID: 38150468 PMCID: PMC10775988 DOI: 10.1371/journal.pgen.1011112] [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] [Received: 06/08/2023] [Revised: 01/09/2024] [Accepted: 12/12/2023] [Indexed: 12/29/2023] Open
Abstract
Mendelian randomization (MR) is an effective approach for revealing causal risk factors that underpin complex traits and diseases. While MR has been more widely applied under two-sample settings, it is more promising to be used in one single large cohort given the rise of biobank-scale datasets that simultaneously contain genotype data, brain imaging data, and matched complex traits from the same individual. However, most existing multivariable MR methods have been developed for two-sample setting or a small number of exposures. In this study, we introduce a one-sample multivariable MR method based on partial least squares and Lasso regression (MR-PL). MR-PL is capable of considering the correlation among exposures (e.g., brain imaging features) when the number of exposures is extremely upscaled, while also correcting for winner's curse bias. We performed extensive and systematic simulations, and demonstrated the robustness and reliability of our method. Comprehensive simulations confirmed that MR-PL can generate more precise causal estimates with lower false positive rates than alternative approaches. Finally, we applied MR-PL to the datasets from UK Biobank to reveal the causal effects of 36 white matter tracts on 180 complex traits, and showed putative white matter tracts that are implicated in smoking, blood vascular function-related traits, and eating behaviors.
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Affiliation(s)
- Anyi Yang
- Department of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People’s Republic of China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, People’s Republic of China
| | - Yucheng T. Yang
- Department of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People’s Republic of China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, People’s Republic of China
| | - Xing-Ming Zhao
- Department of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People’s Republic of China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, People’s Republic of China
- State Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Fudan University, Shanghai, People’s Republic of China
- International Human Phenome Institutes (Shanghai), Shanghai, People’s Republic of China
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7
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Boccia M, Teghil A, Raimo S, Di Vita A, Grossi D, Guariglia C, Palermo L. Neural substrates of interoceptive sensibility: An integrated study in normal and pathological functioning. Neuropsychologia 2023; 183:108504. [PMID: 36746344 DOI: 10.1016/j.neuropsychologia.2023.108504] [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: 02/02/2022] [Revised: 12/14/2022] [Accepted: 02/02/2023] [Indexed: 02/08/2023]
Abstract
In early studies interoception strictly referred to the awareness of visceral sensations, but recent theories have expanded this concept to denote the ongoing status of the body, including somatosensory feelings. Here, we integrated data from normal and pathological functioning to disclose neural underpinnings of interoceptive sensibility, taking into account the crucial distinction between visceral and somatosensory feelings. Twenty-seven healthy young individuals underwent structural MRI (including T1w images and DTI). Voxel-wise analyses of the gyrification index (GI) and fractional anisotropy (FA) data were performed to assess the relation between interoceptive sensibility and surface morphometry and anatomical connectivity. Thirty-three unilateral brain-damaged patients took part in this study for Voxel-Based Lesion-Symptom Mapping (VLSM) and track-wise hodological lesion-deficit analysis (TWH). All participants completed the Self-Awareness Questionnaire (SAQ), a self-report tool assessing interoceptive sensibility of visceral (F1) and somatosensory feelings (F2). Tract-Based Spatial Statistics showed that F2 was positively associated with FA in the bilateral anterior thalamic radiation, corticospinal tract, cingulum, forceps, inferior longitudinal, fronto-occipital, superior longitudinal, and uncinate fasciculi; no significant association was detected for F1. However, F1 was positively associated with GI in the left anterior cingulate cortex. VLSM showed that F1 mainly relies on the right posterior insula, whereas F2 is related mostly to subcortical nuclei and surrounding white matter in the right hemisphere. Accordingly, patients with disconnection of the anterior thalamic projection, corticospinal tract, inferior fronto-occipital, inferior longitudinal, uncinate and superior longitudinal fasciculus III showed lower scores on F2. Overall, results support the dissociation between interoceptive sensibility of visceral and somatosensory feelings.
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Affiliation(s)
- Maddalena Boccia
- Department of Psychology, Sapienza University of Rome, Italy; Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Santa Lucia, Italy.
| | - Alice Teghil
- Department of Psychology, Sapienza University of Rome, Italy; Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Santa Lucia, Italy
| | - Simona Raimo
- Department of Medical and Surgical in Sciences, Magna Graecia University of Catanzaro, Italy
| | - Antonella Di Vita
- Department of Human Neuroscience, Sapienza University of Rome, Italy
| | - Dario Grossi
- Department of Psychology, University of Campania Luigi Vanvitelli, Italy
| | - Cecilia Guariglia
- Department of Psychology, Sapienza University of Rome, Italy; Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Santa Lucia, Italy
| | - Liana Palermo
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Santa Lucia, Italy; Department of Medical and Surgical in Sciences, Magna Graecia University of Catanzaro, Italy
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8
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Cai S, Guo Z, Wang X, Huang K, Yuan K, Huang L. Cortical thickness differences are associated with cellular component morphogenesis of astrocytes and excitatory neurons in nonsuicidal self-injuring youth. Cereb Cortex 2023; 33:811-822. [PMID: 35253859 DOI: 10.1093/cercor/bhac103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 02/03/2023] Open
Abstract
Nonsuicidal self-injury (NSSI) generally occurs in youth and probably progresses to suicide. An examination of cortical thickness differences (ΔCT) between NSSI individuals and controls is crucial to investigate potential neurobiological correlates. Notably, ΔCT are influenced by specific genetic factors, and a large proportion of cortical thinning is associated with the expression of genes that overlap in astrocytes and pyramidal cells. However, in NSSI youth, the mechanisms underlying the relations between the genetic and cell type-specific transcriptional signatures to ΔCT are unclear. Here, we studied the genetic association of ΔCT in NSSI youth by performing a partial least-squares regression (PLSR) analysis of gene expression data and 3D-T1 brain images of 45 NSSI youth and 75 controls. We extracted the top-10 Gene Ontology terms for the enrichment results of upregulated PLS component 1 genes related to ΔCT to conduct the cell-type classification and enrichment analysis. Enrichment of cell type-specific genes shows that cellular component morphogenesis of astrocytes and excitatory neurons accounts for the observed NSSI-specific ΔCT. We validated the main results in independent datasets to verify the robustness and specificity. We concluded that the brain ΔCT is associated with cellular component morphogenesis of astrocytes and excitatory neurons in NSSI youth.
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Affiliation(s)
- Suping Cai
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Zitong Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Xuwen Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Kexin Huang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.,School of Life Science andTechnology, Xidian University, Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi 710071, PR China.,Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, PR China.,Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, PR China
| | - Liyu Huang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China
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9
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Michels L, Moisa M, Stämpfli P, Hirsiger S, Baumgartner MR, Surbeck W, Seifritz E, Quednow BB. The impact of levamisole and alcohol on white matter microstructure in adult chronic cocaine users. Addict Biol 2022; 27:e13149. [PMID: 35394690 PMCID: PMC9287079 DOI: 10.1111/adb.13149] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 11/16/2021] [Accepted: 01/11/2022] [Indexed: 11/29/2022]
Abstract
Previous brain imaging studies with chronic cocaine users (CU) using diffusion tensor imaging (DTI) mostly focused on fractional anisotropy to investigate white matter (WM) integrity. However, a quantitative interpretation of fractional anisotropy (FA) alterations is often impeded by the inherent limitations of the underlying tensor model. A more fine-grained measure of WM alterations could be achieved by measuring fibre density (FD). This study investigates this novel DTI metric comparing 23 chronic CU and 32 healthy subjects. Quantitative hair analysis was used to determine intensity of cocaine and levamisole exposure-a cocaine adulterant with putative WM neurotoxicity. We first assessed the impact of cocaine use, levamisole exposure and alcohol use on group differences in WM integrity. Compared with healthy controls, all models revealed cortical reductions of FA and FD in CU. At the within-patient group level, we found that alcohol use and levamisole exposure exhibited regionally different FA and FD alterations than cocaine use. We found mostly negative correlations of tract-based WM associated with levamisole and weekly alcohol use. Specifically, levamisole exposure was linked with stronger WM reductions in the corpus callosum than alcohol use. Cocaine use duration correlated negatively with FA and FD in some regions. Yet, most of these correlations did not survive a correction for multiple testing. Our results suggest that chronic cocaine use, levamisole exposure and alcohol use were all linked to significant WM impairments in CU. We conclude that FD could be a sensitive marker to detect the impact of the use of multiple substances on WM integrity in cocaine but also other substance use disorders.
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Affiliation(s)
- Lars Michels
- Department of NeuroradiologyUniversity Hospital ZurichZurichSwitzerland
- Neuroscience Center ZurichUniversity of Zurich and Swiss Federal Institute of Technology ZurichZurichSwitzerland
| | - Marius Moisa
- Zurich Center for Neuroeconomics, Department of NeuroeconomicsUniversity of ZurichZurichSwitzerland
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy, and PsychosomaticsPsychiatric Hospital of the University of ZurichZurichSwitzerland
| | - Sarah Hirsiger
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and PsychosomaticsPsychiatric Hospital of the University of ZurichZurichSwitzerland
| | - Markus R. Baumgartner
- Center of Forensic Hair Analytics, Institute of Forensic MedicineUniversity of ZurichZurichSwitzerland
| | - Werner Surbeck
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and PsychosomaticsPsychiatric Hospital of the University of ZurichZurichSwitzerland
| | - Erich Seifritz
- Neuroscience Center ZurichUniversity of Zurich and Swiss Federal Institute of Technology ZurichZurichSwitzerland
- Department of Psychiatry, Psychotherapy, and PsychosomaticsPsychiatric Hospital of the University of ZurichZurichSwitzerland
| | - Boris B. Quednow
- Neuroscience Center ZurichUniversity of Zurich and Swiss Federal Institute of Technology ZurichZurichSwitzerland
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and PsychosomaticsPsychiatric Hospital of the University of ZurichZurichSwitzerland
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10
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Zhou M, Hu Y, Huang R, Zhou Y, Xie X, Zhang S, Jia S, Zhang Y, Xue T, Dong F, Lu X, Yuan K, Yu D. Right arcuate fasciculus and left uncinate fasciculus abnormalities in young smoker. Addict Biol 2022; 27:e13132. [PMID: 35229948 DOI: 10.1111/adb.13132] [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: 07/24/2021] [Revised: 12/01/2021] [Accepted: 12/07/2021] [Indexed: 11/29/2022]
Abstract
Previous diffusion tensor imaging (DTI) studies had investigated the white matter (WM) integrity abnormalities in smokers. Exposure to nicotine disrupts neurodevelopment during adolescence, possibly by disrupting the trophic effects of acetylcholine. However, little is known about the diffusion parameters of specific fibre bundles at multiple locations in young smokers. Thirty-seven young smokers and 29 age-, education- and gender-matched healthy non-smokers participated in this study. Automated Fibre Quantification (AFQ) was employed to investigate the WM microstructure in young smokers by integrating multiple indices. Diffusion parameters, that is, fractional anisotropy (FA), axial diffusion (AD), radial diffusion (RD) and mean diffusion (MD), were calculated at 100 points along the length of 18 major brain tracts. The relationships between neuroimaging differences and smoking behaviours were explored, including Fagerström Test of Nicotine Dependence (FTND) and pack-years. Compared with non-smokers, young smokers showed significantly increased FA, AD and decreased RD in the left uncinate fasciculus (UF) and right thalamic radiation (TR), increased AD, RD and decreased FA in the right arcuate fasciculus (Arc). Correlation analyses revealed that FA values of the left UF and RD values of the right Arc were negatively correlated with FTND score in smokers and FA values of the right Arc were positively correlated with FTND scores. Positive correlation was observed between AD values of the left UF and pack-years in smokers. The findings enhanced our understanding of the potential effect of adolescent smoking on WM microstructure.
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Affiliation(s)
- Mi Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Yiting Hu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Ruoyan Huang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Yang Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Xiaoyan Xie
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Shidi Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Shaodi Jia
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Yunmiao Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Xiaoqi Lu
- School of Information Engineering Inner Mongolia University of Technology Huhhot China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
- School of Life Science and Technology Xidian University Xi'an China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
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11
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Ottino-González J, Uhlmann A, Hahn S, Cao Z, Cupertino RB, Schwab N, Allgaier N, Alia-Klein N, Ekhtiari H, Fouche JP, Goldstein RZ, Li CSR, Lochner C, London ED, Luijten M, Masjoodi S, Momenan R, Oghabian MA, Roos A, Stein DJ, Stein EA, Veltman DJ, Verdejo-García A, Zhang S, Zhao M, Zhong N, Jahanshad N, Thompson PM, Conrod P, Mackey S, Garavan H. White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group. Drug Alcohol Depend 2022; 230:109185. [PMID: 34861493 PMCID: PMC8952409 DOI: 10.1016/j.drugalcdep.2021.109185] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/27/2021] [Accepted: 11/14/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Nicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention. METHODS Eleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence. RESULTS The cocaine and methamphetamine groups had lower regional FA and higher RD in several association, commissural, and projection white matter tracts. The methamphetamine dependent group additionally showed lower regional AD. The nicotine group had lower FA and higher RD limited to the anterior limb of the internal capsule. The best performing machine learning algorithm was the support vector machine (SVM). The SVM successfully classified individuals with dependence on cocaine (AUC = 0.70, p < 0.001) and methamphetamine (AUC = 0.71, p < 0.001) relative to non-dependent controls. Classifications related to nicotine dependence proved modest (AUC = 0.62, p = 0.014). CONCLUSIONS Stimulant dependence was related to FA disturbances within tracts consistent with a role in addiction. The multivariate pattern of white matter differences proved sufficient to identify individuals with stimulant dependence, particularly for cocaine and methamphetamine.
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Affiliation(s)
- Jonatan Ottino-González
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States.
| | - Anne Uhlmann
- Department of Child & Adolescent Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Sage Hahn
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Zhipeng Cao
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Renata B. Cupertino
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Nathan Schwab
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Nicholas Allgaier
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Nelly Alia-Klein
- Department of Psychiatry & Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, New York, United States
| | - Hamed Ekhtiari
- Institute for Cognitive Sciences Studies, University of Tehran, Tehran, Iran,Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Jean-Paul Fouche
- SA MRC Genomics and Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Rita Z. Goldstein
- Department of Psychiatry & Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, New York, United States
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University, New Haven, Connecticut, United States
| | - Christine Lochner
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Edythe D. London
- Department of Psychiatry and Biobehavioural Sciences, University of California, Los Angeles, California, United States
| | - Maartje Luijten
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Sadegh Masjoodi
- Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Momenan
- Clinical Neuroimaging Research Core, National Institutes on Alcohol Abuse & Alcoholism, National Institutes of Health, Bethesda, Maryland, United States
| | - Mohammad Ali Oghabian
- Neuroimaging & Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Annerine Roos
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa,SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Elliot A. Stein
- Neuroimaging Research Branch, Intramural Research Program, National Institute of Drug Abuse, Baltimore, Maryland, United States
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam UMC – location VUMC, Amsterdam, the Netherlands
| | - Antonio Verdejo-García
- School of Psychological Sciences & Turner Institute for Brain & Mental Health, Monash University, Melbourne, Australia
| | - Sheng Zhang
- Department of Psychiatry, Yale University, New Haven, Connecticut, United States
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Neda Jahanshad
- Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, San Diego, California, United States
| | - Paul M. Thompson
- Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, San Diego, California, United States
| | - Patricia Conrod
- Department of Psychiatry, Université de Montreal, Montreal, Quebec, Canada
| | - Scott Mackey
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
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12
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Brain Abnormalities in Pontine Infarction: A Longitudinal Diffusion Tensor Imaging and Functional Magnetic Resonance Imaging study. J Stroke Cerebrovasc Dis 2021; 31:106205. [PMID: 34879300 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES The aim of this study was to make a reasonable and accurate assessment of the prognosis of patients with pontine infarction. We assessed the changes in structure and function in the whole brain after pontine infarction from the acute to chronic phase using diffustion tensor imaging and functional magnetic resonance imaging. MATERIALS AND METHODS Sixteen individuals with a recent pontine infarction and sixteen healthy controls were recruited and underwent 3.0T DTI, resting-state fMRI and upper extremity Fugl-Myer (UE-FM) functional evaluation at five time points: within one week (T1), half a month (T2), one month (T3), three months (T4), and six months (T5) after onset. Tract-based spatial statistics was used to conduct a voxelwise analysis. RESULTS The fractional anisotropy (FA) values were significantly lower in the pontine infarction group than in the control group. Then, specific ROIs were analyzed. The FA values of 10 regions of interest were significantly increased at T2 compared with those at T1. The FA value of the corticospinal tract was significantly increased at T3 compared with that at T2. Regional brain activity results showed that the amplitude of low frequency fluctuations value of the frontal lobe decreased at T1, then increased. Finally, The UE-FM scores showed the same increased trend. CONCLUSION These findings show that the microstructure changes most significantly within half a month after pontine infarction and stabilizes after one month. The recovery of motor function in the later period is mainly caused by changes in the cortex. This facilitates more treatment options.
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13
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Xu Y, Wang S, Chen L, Shao Z, Zhang M, Liu S, Wen X, Li Y, Yang W, Tang F, Luo J, Fan L, Yan C, Liu J, Yuan K. Reduced midbrain functional connectivity and recovery in abstinent heroin users. J Psychiatr Res 2021; 144:168-176. [PMID: 34662755 DOI: 10.1016/j.jpsychires.2021.10.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/24/2021] [Accepted: 10/10/2021] [Indexed: 11/28/2022]
Abstract
Dopaminergic pathways from the midbrain to striatum as well as cortex are involved in addiction. However, the alternations of these pathways and whether the recoveries of aberrant circuits would be detected after prolonged abstinence in heroin users are rarely known. The resting-state functional connectivity (RSFC) patterns of midbrain (i.e., the ventral tegmental area (VTA) and substantia nigra (SN)) were compared between 40 abstinent heroin users with opioid use disorder (HUs) and 35 healthy controls (HCs). Then, we tested the functional recovery hypothesis by both cross-sectional and longitudinal design. For cross-sectional design, HUs were separated into short-term abstainers (STs) (3-15 days) and long-term abstainers (LTs) (>15 days). With regard to longitudinal design, 22 subjects among HUs were followed up for 10 months. A sandwich estimator method was used to analyze the differences between baseline HUs and follow-up HUs. HUs showed lower RSFC between midbrain and several cortical areas (medial orbitofrontal cortex (mOFC) and anterior cingulate cortex) compared with HCs. Besides, lower RSFC of VTA-right nucleus accumbens circuit as well as right SN- caudate circuit was also found in HUs. The enhanced RSFC value of VTA-left mOFC circuit was observed in LTs, compared with STs. Additionally, longitudinal design also revealed the increased RSFC values of the midbrain with frontal cortex after 10 months prolonged abstinence. We revealed abnormal functional organizations of midbrain-striato and midbrain-cortical circuits in HUs. More importantly, partially recovery of these dysfunctions can be found after long-term abstinence.
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Affiliation(s)
- Yan Xu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Shicong Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Longmao Chen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Min Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Shuang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Xinwen Wen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China
| | - Yangding Li
- Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, Hunan, China
| | - Wenhan Yang
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Fei Tang
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jing Luo
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Li Fan
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Cui Yan
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China.
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14
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Wang X, Xue T, Dong F, Li Y, Xie D, Liu C, Zhang M, Bi Y, Yuan K, Yu D. The changes of brain functional networks in young adult smokers based on independent component analysis. Brain Imaging Behav 2021; 15:788-797. [PMID: 32314196 DOI: 10.1007/s11682-020-00289-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Intrinsic functional connectivity (FC) networks, including the default mode network (DMN), central executive network (CEN), and salience network (SN), have been implicated in nicotine addiction. However, litter evidence exists about the abnormalities in the three networks in young adult smokers. Forty-eight young adult smokers and 49 age- and gender-matched non-smokers were recruited in the present study. Resting-state functional magnetic resonance imaging (fMRI) data were analyzed by a combination of independent component analysis (ICA) and dual regression to identify potential differences of FC patterns in the DMN, CEN, and SN. Compared to non-smokers, young adult smokers showed enhanced FC of the left posterior cingulate cortex (LPCC), right medial prefrontal cortex (RMPFC) and right precuneus within the DMN network, of the right dorsolateral prefrontal cortex (DLPFC) within the right CEN, and of the left anterior insula (LAI) within the SN. We also found increased FC between the DMN, CEN and key node of the SN (anterior insula, AI). Correlation analysis showed that the increased FC within the networks was significantly correlated with smoking behaviors (pack-years, smoking duration, FTND, first smoking age, and number of cigarettes per day). Our findings may provide additional evidence for conceptualizing the framework of nicotine addiction as a disease of intercommunicating brain networks.
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Affiliation(s)
- XianFu Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.,Information Center, Dezhou People's Hospital, Dezhou, 253000, Shandong, China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.,School of Science, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China
| | - Yangding Li
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Dongdong Xie
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China
| | - Chang Liu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China
| | - Ming Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China
| | - Yanzhi Bi
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. .,Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, Shaanxi, China.
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.
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15
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Zhao M, Liu J, Cai W, Li J, Zhu X, Yu D, Yuan K. Support vector machine based classification of smokers and nonsmokers using diffusion tensor imaging. Brain Imaging Behav 2021; 14:2242-2250. [PMID: 31428924 DOI: 10.1007/s11682-019-00176-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Despite significant progress in treatments for smoking cessation, smoking continues to be a significant public health concern, especially in young adulthood. Thus, developing a predictive model that can classify and characterize the brain-based biomarkers predicting smoking status would be imperative to improving treatment development. In this study, we applied a support vector machine-based classification method to discriminate 70 young male smokers and 70 matched nonsmokers using their diffusion tensor imaging (DTI) data. The classification procedure achieved an average accuracy of 88.6% and an average area under the curve of 0.95. The most discriminative features that contributed to the classification were primarily located in the sagittal stratum (SS), external capsule (EC), superior longitudinal fasciculus (SLF), anterior corona radiata (ACR) and inferior front-occipital fasciculus (IFOF). The following regression analysis showed a significant negatively correlation between the average RD values of the left ACR (r = -0.247, p = 0.039) and FTND. The average MD values in the right EC (r = -0.254, p = 0.034) and RD values in the right IFOF (r = -0.240, p = 0.046) were inversely associated with pack-years. Our findings indicate that the discriminative white matter (WM) features as brain biomarkers provide great predictive power for smoking status and suggest that machine learning techniques can reveal underlying smoking-related neurobiology.
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Affiliation(s)
- Meng Zhao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Jingjing Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Wanye Cai
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Jun Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Xueling Zhu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. .,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China. .,Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
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16
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Dai X, Zhang J, Gao L, Yu J, Li Y, Du B, Huang X, Zhang H. Intrinsic dialogues between the two hemispheres in middle-aged male alcoholics: a resting-state functional MRI study. Neuroreport 2021; 32:206-213. [PMID: 33470766 DOI: 10.1097/wnr.0000000000001579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The purpose of this study was to investigate the interhemispheric intrinsic connectivity measured by resting-state functional MRI (R-fMRI) in middle-aged male alcoholics. METHODS Thirty male alcoholics (47.33 ± 8.30 years) and 30 healthy males (47.20 ± 6.17 years) were recruited and obtained R-fMRI data. Inter- and intrahemispheric coordination was performed by using voxel-mirrored homotopic connectivity (VMHC) and seed-based functional connectivity analysis. RESULTS We found significantly decreased VMHC in a set of regions in male alcoholics patients, including lateral temporal, inferior frontal gyrus, insular/insulae operculum, precuneus/posterior cingulate gyrus, and pars triangularis (P < 0.05, corrected). Subsequent seed-based functional connectivity analysis demonstrated disrupted functional connectivity between the regions of local homotopic connectivity deficits and other areas of the brain, particularly the areas subserving the default, salience, primary somatomotor, and language systems. CONCLUSIONS Middle-aged male alcoholic subjects demonstrated prominent reductions in inter- and intrahemispheric functional coherence. These abnormal changes may reflect degeneration of system/network integration, particularly the domains subserving default, linguistic processing, and salience integration.
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Affiliation(s)
| | - Jianlong Zhang
- Psychiatry, the Third People's Hospital of Zhongshan, Zhongshan City
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan
| | - Jinming Yu
- Psychiatry, the Third People's Hospital of Zhongshan, Zhongshan City
| | - Yuanchun Li
- Department of Nursing, the Third People's Hospital of Zhongshan, Zhongshan City, China
| | - Baoguo Du
- Psychiatry, the Third People's Hospital of Zhongshan, Zhongshan City
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17
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Hernandez Mejia M, Wade NE, Baca R, Diaz VG, Jacobus J. The Influence of Cannabis and Nicotine Co-use on Neuromaturation: A Systematic Review of Adolescent and Young Adult Studies. Biol Psychiatry 2021; 89:162-171. [PMID: 33334432 PMCID: PMC7749265 DOI: 10.1016/j.biopsych.2020.09.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 09/15/2020] [Accepted: 09/20/2020] [Indexed: 12/13/2022]
Abstract
Accumulating evidence suggests that the use of cannabis and nicotine and tobacco-related products (NTPs) during the adolescent years has harmful effects on the developing brain. Yet, few studies have focused on the developing brain as it relates to the co-administration of cannabis and NTPs, despite the high prevalence rates of co-use in adolescence. This review aims to synthesize the existing literature on neurocognitive, structural neuroimaging, and functional neuroimaging outcomes associated with cannabis and NTP co-use. A systematic search of peer-reviewed articles resulted in a pool of 1107 articles. Inclusion criteria were 1) data-based study; 2) age range of 13 to 35 years or, for preclinical studies, nonadult subjects; 3) cannabis and NTP group jointly considered; and 4) neurocognitive, structural neuroimaging, or functional neuroimaging as an outcome measure. Twelve studies met inclusion criteria. Consistent with the literature, cannabis and nicotine were found to have independent effects on cognition. The available research on the co-use of cannabis and NTPs demonstrates a potential nicotine-related masking effect on cognitive deficits associated with cannabis use, yet there is little research on co-use and associations with neuroimaging indices. In neuroimaging studies, there is preliminary evidence for hippocampal volume differences in co-users and a lack of evidence for co-use differences related to nucleus accumbens activity during reward processing. Notably, no structural neuroimaging studies were found to examine the combined effects of nicotine and cannabis in adolescent-only populations. Further research, including longitudinal studies, is warranted to investigate the influence of cannabis and NTP co-use on maturation.
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Affiliation(s)
- Margie Hernandez Mejia
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California
| | - Natasha E Wade
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Rachel Baca
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Vanessa G Diaz
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Joanna Jacobus
- Department of Psychiatry, University of California San Diego, San Diego, California.
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18
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Bagga D, Cecchetto C, Aigner CS, Tiraspolski I, Koschutnig K, Fischmeister FPS, Schöpf V. Metabolic Dynamics in the Prefrontal Cortex during a Working Memory Task in Young Adult Smokers. Eur Addict Res 2021; 27:428-438. [PMID: 34077927 DOI: 10.1159/000515004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Accepted: 02/02/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Cigarette smoking is known to modulate brain metabolism and brain function. How the dynamics of these metabolic alterations influence the active performance of higher order cognitive tasks in smokers, compared to non-smokers, is still unclear. The present exploratory study sought to examine the impact of smoking on the "complete" metabolic profile while the participants performed a working memory (N-back) task. METHODS The study sample consisted of 40 young male healthy participants (smokers [n = 20] and non-smokers [n = 20]). Functional magnetic resonance spectroscopy data were acquired using a 3 T whole-body MR system. Data analysis was performed using Java-based Magnetic Resonance User Interface software, and metabolite ratios with respect to creatine (Cr) were calculated. RESULTS On a behavioural level, smokers showed worse performance (measured by d') than non-smokers. However, we observed significant differences in the metabolite concentrations in smokers compared to non-smokers, which also changed over the course of the N-back task. A significant effect of the group was observed with smokers showing lower glutamate/Cr (Glx/Cr) and choline/Cr (Cho/Cr) ratios than non-smokers. Further, N-acetyl aspartate (NAA/Cr) and Cho/Cr ratios were significantly different during the rest and the task conditions. In addition, our results demonstrated the metabolite interactions (NAA and Cho, Glx and myo-inositol [mI], and Cho and mI). CONCLUSION Further studies are necessary to shed more light on the association between smoking behaviours and metabolic alterations. However, our preliminary findings would assist in this future research to have a complete understanding of the metabolite interactions not only in smoking but also in addiction research.
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Affiliation(s)
- Deepika Bagga
- Institute of Psychology, University of Graz, Graz, Austria.,BioTechMed, Graz, Austria
| | - Cinzia Cecchetto
- Institute of Psychology, University of Graz, Graz, Austria.,BioTechMed, Graz, Austria
| | - Christoph Stefan Aigner
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.,Institute of Medical Engineering, Graz University of Technology, Graz, Austria
| | | | | | | | - Veronika Schöpf
- Institute of Psychology, University of Graz, Graz, Austria.,BioTechMed, Graz, Austria.,Department of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab (CIR), Medical University of Vienna, Vienna, Austria
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Courtney KE, Baca R, Doran N, Jacobson A, Liu TT, Jacobus J. The effects of nicotine and cannabis co-use during adolescence and young adulthood on white matter cerebral blood flow estimates. Psychopharmacology (Berl) 2020; 237:3615-3624. [PMID: 32803367 PMCID: PMC7686080 DOI: 10.1007/s00213-020-05640-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/10/2020] [Indexed: 12/15/2022]
Abstract
RATIONALE Co-use of cannabis and nicotine is common among adolescents/young adults and is associated with poorer psychological and physical outcomes, compared with single substance use. Little is known about the impact of co-use on the developing brain. OBJECTIVES Preliminary investigation of the effects of nicotine on white matter (WM) cerebral blood flow (CBF) in adolescents/young adults and its potential moderation by cannabis use. METHODS Adolescent/young adult (16-22 years old) nicotine and tobacco product users (NTP; N = 37) and non-nicotine users (non-NTP; N = 26) underwent a neuroimaging session comprised of anatomical, optimized pseudo-continuous arterial spin labeling, and diffusion tensor imaging scans. Groups were compared on whole-brain WM CBF estimates and their relation to past-year cannabis use. Follow-up analyses assessed correlations between identified CBF clusters and corresponding fractional anisotropy (FA) values. RESULTS Group by cannabis effects were observed in five clusters (voxel-wise alpha < 0.001, cluster-wise alpha < 0.05; ≥ 11 contiguous voxels): non-NTP exhibited positive correlations between CBF and cannabis use in all clusters, whereas no significant relationships were observed for NTP. Greater CBF extracted from one cluster (including portions of right superior longitudinal fasciculus) was associated with reduced FA for non-NTP group only. CONCLUSIONS This is the first investigation of WM health as indexed by CBF, and its association with FA, in adolescents/young adults with nicotine and/or cannabis use. Results suggest that cannabis use by itself may be related to increased CBF in WM fiber tracts demonstrating poorer structural intergrity, yet the occurrence of even infrequent NTP use (greater than once per month) appears to diminish this relationship.
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Affiliation(s)
- Kelly E Courtney
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA, 92093, USA
| | - Rachel Baca
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA, 92093, USA
| | - Neal Doran
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA, 92093, USA
- Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
| | - Aaron Jacobson
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Thomas T Liu
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Joanna Jacobus
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA, 92093, USA.
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20
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Hamidullah S, Thorpe HHA, Frie JA, Mccurdy RD, Khokhar JY. Adolescent Substance Use and the Brain: Behavioral, Cognitive and Neuroimaging Correlates. Front Hum Neurosci 2020; 14:298. [PMID: 32848673 PMCID: PMC7418456 DOI: 10.3389/fnhum.2020.00298] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 07/03/2020] [Indexed: 12/11/2022] Open
Abstract
Adolescence is an important ontogenetic period that is characterized by behaviors such as enhanced novelty-seeking, impulsivity, and reward preference, which can give rise to an increased risk for substance use. While substance use rates in adolescence are generally on a decline, the current rates combined with emerging trends, such as increases in e-cigarette use, remain a significant public health concern. In this review, we focus on the neurobiological divergences associated with adolescent substance use, derived from a cross-sectional, retrospective, and longitudinal studies, and highlight how the use of these substances during adolescence may relate to behavioral and neuroimaging-based outcomes. Identifying and understanding the associations between adolescent substance use and changes in cognition, mental health, and future substance use risk may assist our understanding of the consequences of drug exposure during this critical window.
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Affiliation(s)
| | - Hayley H A Thorpe
- Department of Biomedical Sciences, University of Guelph, Guelph, ON, Canada
| | - Jude A Frie
- Department of Biomedical Sciences, University of Guelph, Guelph, ON, Canada
| | - Richard D Mccurdy
- Department of Biomedical Sciences, University of Guelph, Guelph, ON, Canada
| | - Jibran Y Khokhar
- Department of Biomedical Sciences, University of Guelph, Guelph, ON, Canada
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21
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Xue T, Dong F, Huang R, Tao Z, Tang J, Cheng Y, Zhou M, Hu Y, Li X, Yu D, Ju H, Yuan K. Dynamic Neuroimaging Biomarkers of Smoking in Young Smokers. Front Psychiatry 2020; 11:663. [PMID: 32754067 PMCID: PMC7367415 DOI: 10.3389/fpsyt.2020.00663] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 06/26/2020] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE To examine potential changes in the dynamic characteristics of regional neural activity in young smokers and to detect whether the changes were associated with smoking behavior. METHODS The dynamic regional homogeneity (dReHo) and dynamic amplitude of low-frequency fluctuations (dALFF) in 40 young smokers and 42 nonsmokers were compared. Correlation analyses were also performed between dReHo and dALFF in areas showing group differences and smoking behavior [e.g., the Fagerström Test for Nicotine dependence (FTND) scores and pack-years]. RESULTS Significantly differences in dReHo variability were observed in the inferior frontal gyrus (IFG), superior frontal gyrus (SFG), medial frontal gyrus (MFG), insula, cuneus, postcentral gyrus, inferior semi-lunar lobule, orbitofrontal gyrus, and inferior temporal gyrus (ITG). Young smokers also showed significantly increased dALFF variability in the anterior cingulate cortex (ACC) and ITG. Furthermore, a significant positive correlation was found between dALFF variability in the ACC and the pack-years; whereas a significant negative correlation between dReHo variability in the IFG and the FTND scores was found in young smokers. CONCLUSION The pattern of resting state regional neural activity variability was different between young smokers and nonsmokers. Dynamic regional indexes might be a novel neuroimaging biomarker of smoking behavior in young smokers.
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Affiliation(s)
- Ting Xue
- School of Science, Inner Mongolia University of Science and Technology, Baotou, China
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Ruoyan Huang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Zhanlong Tao
- School of Science, Inner Mongolia University of Science and Technology, Baotou, China
| | - Jun Tang
- School of Science, Inner Mongolia University of Science and Technology, Baotou, China
| | - Yongxin Cheng
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Mi Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Yiting Hu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Xiaojian Li
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
| | - Haitao Ju
- Department of Neurosurgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China
- Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi’an, China
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22
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Kangiser MM, Thomas AM, Kaiver CM, Lisdahl KM. Nicotine Effects on White Matter Microstructure in Young Adults. Arch Clin Neuropsychol 2020; 35:10-21. [PMID: 31009035 DOI: 10.1093/arclin/acy101] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 03/11/2018] [Accepted: 12/06/2018] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Nicotine use is widely prevalent among youth, and is associated with white matter microstructural changes as measured by diffusion tensor imaging (DTI). In adults, nicotine use is generally associated with lower fractional anisotropy (FA), but in adolescents/young adults (≤30 years), microstructure appears healthier, indicated by higher FA. This cross-sectional study examined associations between nicotine use and white matter microstructure using fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) in young adults. METHODS Fifty-three participants (18 nicotine users [10 female]/35 controls [17 female]) ages 18-25 underwent MRI scan, neuropsychological battery, toxicology screening, and drug use interview. Nicotine group associations with FA and MD were examined in various white matter tracts. In significant tracts, AD and RD were measured. Exploratory correlations were conducted between significant tracts and verbal memory and sustained attention/working memory performance. RESULTS Nicotine users exhibited significantly lower FA than controls in the left anterior thalamic radiation, left inferior longitudinal fasciculus, left superior longitudinal fasciculus-temporal, and left uncinate fasciculus. In these tracts, AD and RD did not differ, nor did MD differ in any tract. White matter quality was positively correlated with sustained attention/working memory performance. CONCLUSIONS Cigarette smoking may disrupt white matter microstructure. These results are consistent with adult studies, but inconsistent with adolescent/young adult studies, likely due to methodological and sample age differences. Further studies should examine longitudinal effects of nicotine use on white matter microstructure in a larger sample.
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Affiliation(s)
- Megan M Kangiser
- University of Wisconsin-Milwaukee, Department of Psychology, Milwaukee, WI, USA
| | - Alicia M Thomas
- University of Wisconsin-Milwaukee, Department of Psychology, Milwaukee, WI, USA
| | - Christine M Kaiver
- University of Wisconsin-Milwaukee, Department of Psychology, Milwaukee, WI, USA
| | - Krista M Lisdahl
- University of Wisconsin-Milwaukee, Department of Psychology, Milwaukee, WI, USA
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23
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Thayer RE, Hansen NS, Prashad S, Karoly HC, Filbey FM, Bryan AD, Feldstein Ewing SW. Recent tobacco use has widespread associations with adolescent white matter microstructure. Addict Behav 2020; 101:106152. [PMID: 31639638 DOI: 10.1016/j.addbeh.2019.106152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 09/01/2019] [Accepted: 09/30/2019] [Indexed: 10/25/2022]
Abstract
IMPORTANCE Given the prevalence of alcohol, cannabis, and tobacco use during adolescence, it is important to explore the relative relationship of these three substances with brain structure. OBJECTIVE To determine associations between recent alcohol, cannabis, and tobacco use and white and gray matter in a large sample of adolescents. DESIGN, SETTING, AND PARTICIPANTS MRI data were collected in N = 200 adolescents ages 14-18 (M = 15.82 years; 67% male; 61% Hispanic/Latino). On average, during the past month, participants reported consuming 2.05 drinks per 1.01 drinking day, 0.64 g per 6.98 cannabis use days, and 2.49 cigarettes per 12.32 smoking days. MAIN OUTCOMES AND MEASURES General linear models were utilized to examine past 30-day average quantities of alcohol, cannabis, and tobacco use, age, sex, and sex by substance interactions in skeletonized white matter (fractional anisotropy and axial, radial, and mean diffusivity) and voxel-based morphometry of gray matter (volume/density). RESULTS Tobacco use was negatively associated with white matter integrity (radial and mean diffusivity) with peak effects in inferior and superior longitudinal fasciculi. Cannabis use was negatively associated with white matter integrity (axial diffusivity) in a small cluster in the left superior longitudinal fasciculus. No associations were observed between recent alcohol use and white or gray matter overall, but interactions showed significant negative associations between alcohol use and white matter in females. CONCLUSIONS AND RELEVANCE It is important to note that recent tobacco use, particularly given the popularity of e-tobacco/vaping in this age group, had widespread associations with brain structure in this sample of adolescents.
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24
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Shen Q, Heikkinen N, Kärkkäinen O, Gröhn H, Könönen M, Liu Y, Kaarre O, Zhang Z, Tan C, Tolmunen T, Vanninen R. Effects of long-term adolescent alcohol consumption on white matter integrity and their correlations with metabolic alterations. Psychiatry Res Neuroimaging 2019; 294:111003. [PMID: 31726326 DOI: 10.1016/j.pscychresns.2019.111003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 10/24/2019] [Accepted: 10/25/2019] [Indexed: 12/28/2022]
Abstract
Alcohol-related white matter (WM) microstructural changes have not been fully elucidated in adolescents. We aimed to investigate influences of subclinical alcohol use during adolescence on WM microstructure and to characterize those with serum metabolic alterations. 35 moderate-to-heavy drinkers (15 males, 20 females) and 27 controls (12 males, 15 females) were selected based on their ten-year Alcohol Use Disorders Identification Test scores measured at three time points. Magnetic resonance imaging was conducted at endpoint time. Whole brain analysis of fractional anisotropy (FA) was performed. Diffusivity indices in the significant regions were computed for between-group comparisons and correlation analyses with serum metabolite concentrations. Decreased FA was found in moderate-to-heavy drinking men in anterior corpus callosum, superior/anterior corona radiata and right inferior fronto-occipital fasciculus, accompanied by increased radial diffusivity and a smaller area of reduced axial diffusivity, which correlated with serum metabolites playing roles in energy metabolism, myelination and axonal degeneration. No significant difference in FA was detected between female or mixed-gender moderate-to-heavy drinking subjects and controls, supporting gender differences in the relationship between adolescent alcohol use and neurodevelopmental trajectories. Future researches with longitudinal imaging data are warranted for comprehensive evaluation on potentially reversible effects of alcohol use over adolescent brain.
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Affiliation(s)
- Qin Shen
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China; Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Noora Heikkinen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland; Doctoral Programme of Clinical Research, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Olli Kärkkäinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Finland; School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Heidi Gröhn
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Mervi Könönen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland; Department of Neurology, University of Kuopio, Kuopio, Finland
| | - Outi Kaarre
- Doctoral Programme of Clinical Research, School of Medicine, University of Eastern Finland, Kuopio, Finland; Department of Adolescent Psychiatry, Kuopio University Hospital, Kuopio, Finland
| | - Zishu Zhang
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Changlian Tan
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Tommi Tolmunen
- Department of Psychiatry, Kuopio University Hospital, Kuopio, Finland; Department of Psychiatry, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ritva Vanninen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland; Department of Clinical Radiology, School of Medicine, University of Eastern Finland, Kuopio, Finland.
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25
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Helmy EM, Sakrana AA, Abdel-Fattah S, Elsaid AR. Diffusion tensor imaging of white matter integrity in relation to smoking index and exacerbations in severe chronic obstructive pulmonary disease. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2019. [DOI: 10.1186/s43055-019-0082-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Diffusion tensor imaging (DTI) is a non-invasive MR modality that provides an evaluation of brain tissue microstructure and architecture in vivo. We aimed to assess the diagnostic value of DTI parameters in evaluating cerebral white matter integrity in patients of severe chronic obstructive pulmonary disease (COPD) and correlate these parameters with smoking index (SI) and the number of exacerbations in the last year.
This prospective study included 30 COPD male past smoker patients and 15 age- and sex-matched nonsmoker controls. Staging of COPD, SI and number of exacerbations in the last year were obtained. Routine brain MRI and DTI were done in all subjects. The selected white matter tracts’ fractional anisotropy (FA), and mean diffusivity (MD) were calculated in the region of interest in axial slices.
Results
The mean FA and MD values of all selected white matter tracts showed a high significant difference (p < 0.001) between patients and control group. The correlation between FA, SI and exacerbation frequency was not significant in the majority of white matter tracts (p > 0.05). The correlation between MD, SI and exacerbation frequency was significant for the majority of tracts (p < 0.05).
Conclusion
DTI metrics are valuable non-invasive tools in evaluating the white matter abnormalities in COPD patients. Smoking index and frequency of exacerbations have possible relation to extra-pulmonary cerebral manifestations of COPD.
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26
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Yu D, Yuan K, Cheng J, Guan Y, Li Y, Bi Y, Zhai J, Luo L, Liu B, Xue T, Lu X. Reduced Thalamus Volume May Reflect Nicotine Severity in Young Male Smokers. Nicotine Tob Res 2019. [PMID: 28651369 DOI: 10.1093/ntr/ntx146] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Introduction Nicotine acts as an agonist at presynaptic nicotinic acetylcholine receptors and to facilitate synaptic release of several neurotransmitters including dopamine and glutamate. The thalamus has the highest density of nicotinic acetylcholine receptors in the brain, which may make this area more vulnerable to the addictive effects of nicotine. However, the volume of thalamus abnormalities and the association with smoking behaviors in young smokers remains unknown. Methods Thirty-six young male smokers and 36 age-, gender- and education-matched nonsmokers participated in the current study. The nicotine dependence severity and cumulative effect were assessed with the Fagerström test for nicotine dependence (FTND) and pack-years. We used subcortical volume analyses method in FreeSurfer to investigate the thalamus volume differences between young smokers and nonsmokers. Correlation analysis was used to investigate the relationship between thalamus volume and smoking behaviors (pack-years and FTND) in young smokers. Results and Conclusions Relative to nonsmokers, the young smokers showed reduced volume of bilateral thalamus. In addition, the left thalamus volume was correlated with FTND in young smokers. It is hoped that our findings can shed new insights into the neurobiology of young smokers. Implications In this article, we investigated the changes of thalamus volume in young male smokers compared with nonsmokers. Reduced left thalamus volume was correlated with FTND in young smokers, which may reflect nicotine severity in young male smokers.
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Affiliation(s)
- Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Kai Yuan
- Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiadong Cheng
- Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yanyan Guan
- Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yangding Li
- Guangxi Key Laboratory of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, Guangxi, China
| | - Yanzhi Bi
- Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jinquan Zhai
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Lin Luo
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Bo Liu
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqi Lu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
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27
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Zou Y, Murray DE, Durazzo TC, Schmidt TP, Murray TA, Meyerhoff DJ. White matter microstructural correlates of relapse in alcohol dependence. Psychiatry Res Neuroimaging 2018; 281:92-100. [PMID: 30273793 PMCID: PMC6204088 DOI: 10.1016/j.pscychresns.2018.09.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 09/14/2018] [Accepted: 09/14/2018] [Indexed: 12/15/2022]
Abstract
Identification of neural correlates of relapse to alcohol after treatment is clinically important as it may inform better substance abuse treatment. Few studies have specifically analyzed the white matter microstructure in treatment seekers as it might relate to relapse risk versus long-term abstinence. Using 4 Tesla diffusion tensor imaging, we compared two groups of one-month-abstinent treatment-seekers, who were classified based on their drinking status between six and nine months after treatment initiation. We hypothesized that subsequent relapsers had greater white matter microstructural deficits in specific brain regions than long-term abstainers. At one month of abstinence, 37 future relapsers versus 25 future abstainers had lower fractional anisotropy (a measure of axonal organization and membrane integrity) in the corpus callosum and right stria terminalis/fornix, higher diffusivity in the genu of the corpus callosum, left and right stria terminalis/fornix, and lower diffusivity in left anterior corona radiata. These differences existed despite similar lifetime and recent drinking and smoking histories in the groups. Longer smoking duration in relapsers was associated with lower fractional anisotropy in right stria terminalis/fornix. The study identified specific microstructural biomarkers of alcohol relapse risk in adults, contributing to the definition of a neurobiological relapse risk profile in alcohol use disorder.
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Affiliation(s)
- Yukai Zou
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47906, United States; College of Veterinary Medicine, Purdue University, West Lafayette, IN 47906, United States
| | - Donna E Murray
- Center for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, United States
| | - Timothy C Durazzo
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States; Mental Illness Research Mental Illness Research and Education Clinical Centers, Sierra-Pacific War Related Illness and Injury Study Center, VA Palo Alto Health Care System, Palo Alto, CA 94304, United States
| | - Thomas P Schmidt
- Center for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA 94121, United States
| | - Troy A Murray
- Center for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA 94121, United States
| | - Dieter J Meyerhoff
- Center for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, United States.
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28
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Yuan K, Zhao M, Yu D, Manza P, Volkow ND, Wang GJ, Tian J. Striato-cortical tracts predict 12-h abstinence-induced lapse in smokers. Neuropsychopharmacology 2018; 43:2452-2458. [PMID: 30131564 PMCID: PMC6180048 DOI: 10.1038/s41386-018-0182-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 08/06/2018] [Accepted: 08/07/2018] [Indexed: 12/21/2022]
Abstract
Striatal circuit dysfunction is implicated in smoking behaviors and lapses during abstinence attempts. However, little is known about whether the structural connectivity of striatal tracts can be used to predict abstinence-induced craving and lapses. The tract strengths of striatal circuits were compared in 53 male nicotine-dependent cigarette smokers and 58 matched nonsmokers, using seed-based classification by diffusion tensor imaging (DTI) probabilistic tractography with 10 a priori target masks. A 12-h abstinence procedure was then employed, after which 31 individuals abstained and 22 lapsed. Linear regression and binary logistic regression was conducted to test whether the tract strength of frontostriatal circuits was associated with craving changes in abstainers and predicted lapse in smokers. Compared with nonsmokers, in the left hemisphere, smokers showed weaker tract strength in striatum-medial orbitofrontal cortex (mOFC), striatum-ventral lateral prefrontal cortex (vlPFC), striatum-inferior frontal gyrus (IFG) and striatum-posterior cingulate cortex (PCC) (Bonferroni corrected, p < 0.05/20 = 0.0025). In abstainers, the abstinence-induced increases in craving were associated with the tract strength of the left striatum-mOFC and striatum-vlPFC. The tract strength of left striatum-dorsolateral PFC (dlPFC) predicted lapse in smokers with an accuracy of 68.3%. These results provide system-level insights into the weaker tract strength of frontostriatal circuits in male smokers and their potential roles as neuroimaging markers for abstinence-induced craving and risk of lapse. Future studies in female smokers are needed to determine if this generalizes across genders.
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Affiliation(s)
- Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. .,National Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD, 20892, USA. .,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi,, 710071, People's Republic of China. .,Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China. .,Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, 541001, People's Republic of China.
| | - Meng Zhao
- 0000 0001 0707 115Xgrid.440736.2School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071 People’s Republic of China ,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi, 710071 People’s Republic of China
| | - Dahua Yu
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi, 710071 People’s Republic of China
| | - Peter Manza
- 0000 0001 2297 5165grid.94365.3dNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD 20892 USA
| | - Nora D. Volkow
- 0000 0001 2297 5165grid.94365.3dNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD 20892 USA ,0000 0001 2297 5165grid.94365.3dNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892 USA
| | - Gene-Jack Wang
- 0000 0001 2297 5165grid.94365.3dNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD 20892 USA
| | - Jie Tian
- 0000 0001 0707 115Xgrid.440736.2School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071 People’s Republic of China ,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi, 710071 People’s Republic of China ,0000000119573309grid.9227.eInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190 People’s Republic of China
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Abstract
Background/Study Concept: Acute lacunar stroke (Als) plays a role in death/disability worldwide. Aphasia refers to chronic difficulty with communication in >20% of patients post stroke. We describe pathophysiological features of white matter (WM) abnormalities and their relationship between WM changes and aphasia quotient (AQ) scores in Als.Methods: Diffusion tensor imaging data were acquired in 37 Als patients and 28 healthy controls. Tract-based spatial statistics (TBSS) and correlation analyses were used.Results: Consistent with the hypothesis, Als had decreased fractional anisotropy (FA) and increased mean diffusivity, axial diffusivity and radial diffusivity in the genu, body and splenium of the corpus callosum (CC), superior longitudinal fasciculus (SLF) and corona radiata in the bilateral hemisphere. Reduced FA of SLF was correlated with AQ scores in Als patients.Conclusion: It is hoped that TBSS could shed new insights into aphasia mechanisms in Als to help promote aging-related disease studies.
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30
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He Q, Turel O, Bechara A. Association of excessive social media use with abnormal white matter integrity of the corpus callosum. Psychiatry Res Neuroimaging 2018; 278:42-47. [PMID: 29981941 DOI: 10.1016/j.pscychresns.2018.06.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 06/13/2018] [Accepted: 06/15/2018] [Indexed: 11/24/2022]
Abstract
Borrowing from findings regarding other problematic behaviors, we posit that excessive social media use (ESMU) can relate to impaired inter-hemispheric connections. These are often reflected in impaired white matter integrity (decreased fractional anisotropy and increased mean diffusivity) of the corpus callosum. We test this idea with diffusion tensor imaging (DTI) data from 20 normal social media users with varying degrees of ESMU. The findings of a Regions of Interest analysis focusing on the corpus callosum indicate that ESMU is associated with increased mean diffusivity in the body and splenium sub-regions of the corpus callosum. Whole-brain Tract Based Spatial Statistics analysis revealed that ESMU is positively associated with mean diffusivity of left superior and inferior longitudinal fasciculi as well as left forceps minor; and that ESMU is positively associated with the fractional anisotropy of the right Corticospinal Tract. It is concluded that inter-hemispheric white matter deficits in the corpus callosum extended to forceps minor, as well as along the ventral semantic path can be associated with ESMU.
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Affiliation(s)
- Qinghua He
- Faculty of Psychology, Southwest University, Beibei, Chongqing, China
| | - Ofir Turel
- Information Systems and Decision Sciences, California State University, Fullerton, 800 N. State College Blvd., SGMH-4160, Fullertom, CA 92831, USA; Decision Neuroscience, Department of Psychology, University of Southern California, Los Angeles, USA.
| | - Antoine Bechara
- Decision Neuroscience, Department of Psychology, University of Southern California, Los Angeles, USA
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31
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Krakauer K, Ebdrup BH, Glenthøj BY, Raghava JM, Nordholm D, Randers L, Rostrup E, Nordentoft M. Patterns of white matter microstructure in individuals at ultra-high-risk for psychosis: associations to level of functioning and clinical symptoms. Psychol Med 2017; 47:2689-2707. [PMID: 28464976 DOI: 10.1017/s0033291717001210] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Individuals at ultra-high-risk (UHR) for psychosis present with emerging symptoms and decline in functioning. Previous univariate analyses have indicated widespread white matter (WM) aberrations in multiple brain regions in UHR individuals and patients with schizophrenia. Using multivariate statistics, we investigated whole brain WM microstructure and associations between WM, clinical symptoms, and level of functioning in UHR individuals. METHODS Forty-five UHR individuals and 45 matched healthy controls (HCs) underwent magnetic resonance diffusion tensor imaging (DTI) at 3 Tesla. UHR individuals were assessed with the Comprehensive Assessment of At-Risk Mental States, Scale for the Assessment of Negative Symptoms, and Social and Occupational Functioning Assessment Scale. Partial least-squares correlation analysis (PLSC) was used as statistical method. RESULTS PLSC group comparisons revealed one significant latent variable (LV) accounting for 52% of the cross-block covariance. This LV indicated a pattern of lower fractional anisotropy (FA), axial diffusivity (AD), and mode of anisotropy (MO) concomitant with higher radial diffusivity (RD) in widespread brain regions in UHR individuals compared with HCs. Within UHR individuals, PLSC revealed five significant LVs associated with symptoms and level of functioning. The first LV accounted for 31% of the cross-block covariance and indicated a pattern where higher symptom score and lower level of functioning correlated to lower FA, AD, MO, and higher RD. CONCLUSIONS UHR individuals demonstrate complex brain patterns of WM abnormalities. Despite the subtle psychopathology of UHR individuals, aberrations in WM appear associated with positive and negative symptoms as well as level of functioning.
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Affiliation(s)
- K Krakauer
- Mental Health Centre Copenhagen,Copenhagen University Hospital,DK-2900 Hellerup,Denmark
| | - B H Ebdrup
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS,DK-2600 Glostrup,Denmark
| | - B Y Glenthøj
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS,DK-2600 Glostrup,Denmark
| | - J M Raghava
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS,DK-2600 Glostrup,Denmark
| | - D Nordholm
- Mental Health Centre Copenhagen,Copenhagen University Hospital,DK-2900 Hellerup,Denmark
| | - L Randers
- Mental Health Centre Copenhagen,Copenhagen University Hospital,DK-2900 Hellerup,Denmark
| | - E Rostrup
- Functional Imaging Unit,Clinical Physiology,Nuclear Medicine and PET,Copenhagen University Hospital Rigshospitalet,DK-2600 Glostrup,Denmark
| | - M Nordentoft
- Mental Health Centre Copenhagen,Copenhagen University Hospital,DK-2900 Hellerup,Denmark
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32
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Bi Y, Yuan K, Yu D, Wang R, Li M, Li Y, Zhai J, Lin W, Tian J. White matter integrity of central executive network correlates with enhanced brain reactivity to smoking cues. Hum Brain Mapp 2017; 38:6239-6249. [PMID: 28960762 DOI: 10.1002/hbm.23830] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 09/13/2017] [Accepted: 09/19/2017] [Indexed: 12/15/2022] Open
Abstract
The attentional bias to smoking cues contributes to smoking cue reactivity and cognitive declines underlines smoking behaviors, which were probably associated with the central executive network (CEN). However, little is known about the implication of the structural connectivity of the CEN in smoking cue reactivity and cognitive control impairments in smokers. In the present study, the white matter structural connectivity of the CEN was quantified in 35 smokers and 26 non-smokers using the diffusion tensor imaging and deterministic fiber tractography methods. Smoking cue reactivity was evaluated using cue exposure tasks, and cognitive control performance was assessed by the Stroop task. Relative to non-smokers, smokers showed increased fractional anisotropy (FA) values of the bilateral CEN fiber tracts. The FA values of left CEN positively correlated with the smoking cue-induced activation of the dorsolateral prefrontal cortex and right middle occipital cortex in smokers. Meanwhile, the FA values of left CEN positively correlated with the incongruent errors during Stroop task in smokers. Collectively, the present study highlighted the role of the structural connectivity of the CEN in smoking cue reactivity and cognitive control performance, which may underpin the attentional bias to smoking cues and cognitive deficits in smokers. The multimodal imaging method by forging links from brain structure to brain function extended the notion that structural connections can modulate the brain activity in specific projection target regions. Hum Brain Mapp 38:6239-6249, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yanzhi Bi
- School of Life Science and Technology, Xidian University, Xi'an, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, People's Republic of China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, People's Republic of China.,School of Information Engineering, Information Processing Laboratory, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, People's Republic of China
| | - Dahua Yu
- School of Information Engineering, Information Processing Laboratory, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, People's Republic of China
| | - Ruonan Wang
- School of Life Science and Technology, Xidian University, Xi'an, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, People's Republic of China
| | - Min Li
- School of Life Science and Technology, Xidian University, Xi'an, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, People's Republic of China
| | - Yangding Li
- Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, People's Republic of China
| | - Jinquan Zhai
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, People's Republic of China
| | - Wei Lin
- Department of neurosurgery, No 101 Hospital of Chinese PLA, Wuxi, People's Republic of China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, People's Republic of China.,Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China
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33
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Wang S, Zuo L, Jiang T, Peng P, Chu S, Xiao D. Abnormal white matter microstructure among early adulthood smokers: a tract-based spatial statistics study. Neurol Res 2017; 39:1094-1102. [PMID: 28934078 DOI: 10.1080/01616412.2017.1379277] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Objectives Cigarette smoking is an important risk factor of central nervous system diseases. However, the white matter (WM) integrity of early adulthood chronic smokers has not been attached enough importance to as it deserves, and the relationship between the chronic smoking effect and the WM is still unclear. The purpose of this study was to investigate whole - brain WM microstructure of early adulthood smokers and explore the structural correlates of behaviorally relevant features of the disorder. Methods We compared multiple DTI-derived indices, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD), between early adulthood smokers (n = 19) and age-, education- and gender-matched controls (n = 23) using a whole-brain tract-based spatial statistics approach. We also explored the correlations of the mean DTI index values with pack-years and Fagerström Test for Nicotine Dependence. Results The smokers showed increased FA in left superior longitudinal fasciculus (SLF), left anterior corona radiate, left superior corona radiate, left posterior corona radiate, left external capsule (EC), left inferior fronto-occipital fasciculus and sagittal stratum (SS), and decreased RD in left SLF. There were significant negative correlations among the average FA in the left external capsule and pack-years in smokers. In addition, significant positive correlation was found between RD values in the left SLF and pack-years. Discussion These findings indicate that smokers show microstructural changes in several white-matter regions. The correlation between the cumulative effect and microstructural WM alternations suggests that WM properties may become the new biomarkers in practice.
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Affiliation(s)
- Shuangkun Wang
- a Department of Radiology, Beijing Chao-Yang Hospital , Capital Medical University , Beijing , China
| | - Long Zuo
- a Department of Radiology, Beijing Chao-Yang Hospital , Capital Medical University , Beijing , China
| | - Tao Jiang
- a Department of Radiology, Beijing Chao-Yang Hospital , Capital Medical University , Beijing , China
| | - Peng Peng
- a Department of Radiology, Beijing Chao-Yang Hospital , Capital Medical University , Beijing , China
| | - Shuilian Chu
- b Clinical Research Center, Beijing Chao-Yang Hospital , Capital Medical University , Beijing , China
| | - Dan Xiao
- c Tobacco Medicine and Tobacco Cessation Center , China-Japan Friendship Hospital , Beijing , China.,d WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention , China-Japan Friendship Hospital , Beijing , China
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34
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Mukherjee J, Lao PJ, Betthauser TJ, Samra GK, Pan ML, Patel IH, Liang C, Metherate R, Christian BT. Human brain imaging of nicotinic acetylcholine α4β2* receptors using [ 18 F]Nifene: Selectivity, functional activity, toxicity, aging effects, gender effects, and extrathalamic pathways. J Comp Neurol 2017; 526:80-95. [PMID: 28875553 DOI: 10.1002/cne.24320] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 08/22/2017] [Accepted: 08/23/2017] [Indexed: 02/06/2023]
Abstract
Nicotinic acetylcholinergic receptors (nAChR's) have been implicated in several brain disorders, including addiction, Parkinson's disease, Alzheimer's disease and schizophrenia. Here we report in vitro selectivity and functional properties, toxicity in rats, in vivo evaluation in humans, and comparison across species of [18 F]Nifene, a fast acting PET imaging agent for α4β2* nAChRs. Nifene had subnanomolar affinities for hα2β2 (0.34 nM), hα3β2 (0.80 nM) and hα4β2 (0.83 nM) nAChR but weaker (27-219 nM) for hβ4 nAChR subtypes and 169 nM for hα7 nAChR. In functional assays, Nifene (100 μM) exhibited 14% agonist and >50% antagonist characteristics. In 14-day acute toxicity in rats, the maximum tolerated dose (MTD) and the no observed adverse effect level (NOAEL) were estimated to exceed 40 μg/kg/day (278 μg/m2 /day). In human PET studies, [18 F]Nifene (185 MBq; <0.10 μg) was well tolerated with no adverse effects. Distribution volume ratios (DVR) of [18 F]Nifene in white matter thalamic radiations were ∼1.6 (anterior) and ∼1.5 (superior longitudinal fasciculus). Habenula known to contain α3β2 nAChR exhibited low levels of [18 F]Nifene binding while the red nucleus with α2β2 nAChR had DVR ∼1.6-1.7. Females had higher [18 F]Nifene binding in all brain regions, with thalamus showing >15% than males. No significant aging effect was observed in [18 F]Nifene binding over 5 decades. In all species (mice, rats, monkeys, and humans) thalamus showed highest [18 F]Nifene binding with reference region ratios >2 compared to extrathalamic regions. Our findings suggest that [18 F]Nifene PET may be used to study α4β2* nAChRs in various CNS disorders and for translational research.
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Affiliation(s)
- Jogeshwar Mukherjee
- Preclinical Imaging, Department of Radiological Sciences, University of California, Irvine, California
| | - Patrick J Lao
- Department of Medical Physics and Waisman Center, University of Wisconsin, Madison, Wisconsin
| | - Tobey J Betthauser
- Department of Medical Physics and Waisman Center, University of Wisconsin, Madison, Wisconsin
| | - Gurleen K Samra
- Preclinical Imaging, Department of Radiological Sciences, University of California, Irvine, California
| | - Min-Liang Pan
- Preclinical Imaging, Department of Radiological Sciences, University of California, Irvine, California
| | - Ishani H Patel
- Preclinical Imaging, Department of Radiological Sciences, University of California, Irvine, California
| | | | - Raju Metherate
- Department of Neurobiology and Behavior, University of California, Irvine, California
| | - Bradley T Christian
- Department of Medical Physics and Waisman Center, University of Wisconsin, Madison, Wisconsin
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35
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Huang P, Shen Z, Wang C, Qian W, Zhang H, Yang Y, Zhang M. Altered White Matter Integrity in Smokers Is Associated with Smoking Cessation Outcomes. Front Hum Neurosci 2017; 11:438. [PMID: 28912702 PMCID: PMC5582085 DOI: 10.3389/fnhum.2017.00438] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 08/16/2017] [Indexed: 01/03/2023] Open
Abstract
Smoking is a significant cause of preventable mortality worldwide. Understanding the neural mechanisms of nicotine addiction and smoking cessation may provide effective targets for developing treatment strategies. In the present study, we explored whether smokers have white matter alterations and whether these alterations are related to cessation outcomes and smoking behaviors. Sixty-six smokers and thirty-seven healthy non-smokers were enrolled. The participants underwent magnetic resonance imaging scans and smoking-related behavioral assessments. After a 12-week treatment with varenicline, 28 smokers succeeded in quitting smoking and 38 failed. Diffusion parameter maps were compared among the non-smokers, future quitters, and relapsers to identify white matter differences. We found that the future relapsers had significantly lower fractional anisotropy (FA) in the orbitofrontal area than non-smokers, and higher FA in the cerebellum than non-smokers and future quitters. The future quitters had significantly lower FA in the postcentral gyrus compared to non-smokers and future relapsers. Compared to non-smokers, pooled smokers had lower FA in bilateral orbitofrontal gyrus and left superior frontal gyrus. In addition, regression analysis showed that the left orbitofrontal FA was correlated with smoking-relevant behaviors. These results suggest that white matter alterations in smokers may contribute to the formation of aberrant brain circuits underlying smoking behaviors and are associated with future smoking cessation outcomes.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou, China
| | - Zhujing Shen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou, China
| | - Chao Wang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou, China
| | - Wei Qian
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou, China
| | - Huan Zhang
- Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang UniversityHangzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, BaltimoreMD, United States
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou, China
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36
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Kaag AM, van Wingen GA, Caan MWA, Homberg JR, van den Brink W, Reneman L. White matter alterations in cocaine users are negatively related to the number of additionally (ab)used substances. Addict Biol 2017; 22:1048-1056. [PMID: 26860848 DOI: 10.1111/adb.12375] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Revised: 01/13/2016] [Accepted: 01/13/2016] [Indexed: 01/18/2023]
Abstract
Diffusion tensor imaging studies have provided evidence for white matter (WM) alterations in cocaine users. While polysubstance use is a widespread phenomenon among cocaine users, its role in WM alterations in cocaine users is currently unknown. This study examined the relation between the number of substances that are used(cocaine, alcohol and marijuana) and WM alterations in 67 male non-drug users and 67 male regular cocaine users, who were classified into five groups based on the number of used substances. Diffusion-weighted images were acquired on a 3.0 T magnetic resonance imaging scanner. Using tract-based spatial statistics we demonstrated that there was a negative relation between the number of used substances and fractional anisotropy, a global measure of WM integrity. Also, we demonstrated a positive relation between the number of used substance and radial diffusivity within the prefrontal lobe, suggesting an increase in demyelination with the number of used substances. We did not find a dose-effect between the level of substance use and WM alterations. The results of the current study may reflect the presence of a pre-existing vulnerability to polysubstance use resulting from prefrontal WM abnormalities and related impaired cognitive control although WM alterations because of polysubstance use cannot be fully excluded. This study is an important first step in understanding the problems related to polysubstance use among cocaine users.
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Affiliation(s)
- Anne Marije Kaag
- Departement of Radiology; Academic Medical Centre; the Netherlands
- Departement of Psychiatry; Academic Medical Centre; the Netherlands
| | | | | | - Judith R. Homberg
- Donders Institute for Brain, Cognition and Behaviour; Radboud University, Medical Centre; the Netherlands
| | | | - Liesbeth Reneman
- Departement of Radiology; Academic Medical Centre; the Netherlands
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37
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Yuan K, Yu D, Bi Y, Wang R, Li M, Zhang Y, Dong M, Zhai J, Li Y, Lu X, Tian J. The left dorsolateral prefrontal cortex and caudate pathway: New evidence for cue-induced craving of smokers. Hum Brain Mapp 2017; 38:4644-4656. [PMID: 28653791 DOI: 10.1002/hbm.23690] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 06/05/2017] [Accepted: 06/09/2017] [Indexed: 01/17/2023] Open
Abstract
Although the activation of the prefrontal cortex (PFC) and the striatum had been found in smoking cue induced craving task, whether and how the functional interactions and white matter integrity between these brain regions contribute to craving processing during smoking cue exposure remains unknown. Twenty-five young male smokers and 26 age- and gender-matched nonsmokers participated in the smoking cue-reactivity task. Craving related brain activation was extracted and psychophysiological interactions (PPI) analysis was used to specify the PFC-efferent pathways contributed to smoking cue-induced craving. Diffusion tensor imaging (DTI) and probabilistic tractography was used to explore whether the fiber connectivity strength facilitated functional coupling of the circuit with the smoking cue-induced craving. The PPI analysis revealed the negative functional coupling of the left dorsolateral prefrontal cortex (DLPFC) and the caudate during smoking cue induced craving task, which positively correlated with the craving score. Neither significant activation nor functional connectivity in smoking cue exposure task was detected in nonsmokers. DTI analyses revealed that fiber tract integrity negatively correlated with functional coupling in the DLPFC-caudate pathway and activation of the caudate induced by smoking cue in smokers. Moreover, the relationship between the fiber connectivity integrity of the left DLPFC-caudate and smoking cue induced caudate activation can be fully mediated by functional coupling strength of this circuit in smokers. The present study highlighted the left DLPFC-caudate pathway in smoking cue-induced craving in smokers, which may reflect top-down prefrontal modulation of striatal reward processing in smoking cue induced craving processing. Hum Brain Mapp 38:4644-4656, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education.,School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Dahua Yu
- School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yanzhi Bi
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Ruonan Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Min Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Yajuan Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Minghao Dong
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Jinquan Zhai
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yangding Li
- Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, People's Republic of China
| | - Xiaoqi Lu
- School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education.,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China
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38
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Effects of abstinence and chronic cigarette smoking on white matter microstructure in alcohol dependence: Diffusion tensor imaging at 4T. Drug Alcohol Depend 2017; 175:42-50. [PMID: 28384535 PMCID: PMC5444327 DOI: 10.1016/j.drugalcdep.2017.01.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 12/21/2016] [Accepted: 01/22/2017] [Indexed: 11/24/2022]
Abstract
BACKGROUND We previously reported widespread microstructural deficits of brain white matter in alcohol-dependent individuals (ALC) compared to light drinkers in a small 1.5T diffusion tensor imaging study employing tract-based spatial statistics. Using a larger dataset acquired at 4T, the present study is an extension that investigated the effects of alcohol consumption, abstinence from alcohol, and comorbid cigarette smoking on white matter microstructure. METHODS Tract-based spatial statistics were performed on 20 1-week-abstinent ALC, 52 1-month-abstinent ALC, and 30 controls. Regional measures of fractional anisotropy (FA) and mean diffusivity (MD) in the significant clusters were compared by Analysis of Covariance. The metrics were correlated with substance use history and behavioral measures. RESULTS 1-week-abstinent ALC showed lower FA than controls in the corpus callosum, right cingulum, external capsule, and hippocampus. At 1 month of abstinence, only the FA in the body of the corpus callosum of ALC remained significantly different from controls. Some regional FA deficits correlated with more severe measures of drinking and smoking histories but only weakly with mood and impulsivity measures. CONCLUSION White matter microstructure is abnormal during early abstinence in alcohol dependent treatment seekers and recovers into the normal range within about four weeks. The compromised white matter was related to substance use severity, mood, and impulsivity. Our findings suggest that ALC may benefit from interventions that facilitate normalization of DTI metrics to maintain abstinence, via smoking cessation, cognitive-based therapy, and perhaps pharmacology to support remyelination.
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39
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Abnormal brain white matter network in young smokers: a graph theory analysis study. Brain Imaging Behav 2017; 12:345-356. [DOI: 10.1007/s11682-017-9699-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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40
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Zhai J, Luo L, Qiu L, Kang Y, Liu B, Yu D, Lu X, Yuan K. The topological organization of white matter network in internet gaming disorder individuals. Brain Imaging Behav 2016; 11:1769-1778. [DOI: 10.1007/s11682-016-9652-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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41
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van Son D, Wiers RW, Catena A, Perez-Garcia M, Verdejo-García A. White matter disruptions in male cocaine polysubstance users: Associations with severity of drug use and duration of abstinence. Drug Alcohol Depend 2016; 168:247-254. [PMID: 27736678 DOI: 10.1016/j.drugalcdep.2016.09.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 09/14/2016] [Accepted: 09/17/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND Cocaine dependence has been associated with alterations in the brain's white matter integrity, yet relevant questions remain about what alterations are linked to cocaine use and/or polysubstance use, and whether they are amenable to abstinence. METHODS This study applied a single measurement session of diffusion tensor imaging (DTI) to examine white matter structure in male cocaine polysubstance users (n=37) versus male healthy controls (n=38), along with correlations between DTI measures and patterns of polysubstance use and duration of abstinence. Specifically, we conducted voxel-wise analyses of fractional anisotropy (FA) in the corpus callosum, frontolimbic, striatal and cingulate tracts relevant to drug sequelae. RESULTS Cocaine polysubstance users, compared to controls, showed lower FA in the body of the corpus callosum, anterior cingulate, uncinate fasciculus and retrolenticular part of the internal capsule. Duration of cocaine use had a marginal negative association with FA in the corpus callosum, and duration of alcohol use was negatively associated with FA in the internal capsule and the uncinate fasciculus. Duration of cocaine abstinence was positively correlated with FA in the uncinate fasciculus, posterior cingulate and fornix-striatum. In the context of cocaine polysubstance use, chronicity of cocaine use is therefore likely to be associated with lower FA in the corpus callosum, and chronicity of alcohol use with lower FA in the frontal-striatal and frontal-limbic tracts. Longer abstinence was correlated to greater FA in frontal-striatal and frontal-limbic tracts, though the direction of causality remains unclear. CONCLUSION Since the results did not survive multiple comparison-corrected thresholds, more studies are needed to confirm these indications.
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Affiliation(s)
- Dana van Son
- Addiction, Development and Psychopathology (ADAPT) lab, Dept. of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
| | - Reinout W Wiers
- Addiction, Development and Psychopathology (ADAPT) lab, Dept. of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Andrés Catena
- Mind, Brain and Behavior Research Center (CIMCYC), Universidad de Granada, Granada, Spain
| | - Miguel Perez-Garcia
- Mind, Brain and Behavior Research Center (CIMCYC), Universidad de Granada, Granada, Spain
| | - Antonio Verdejo-García
- Red de Trastornos Adictivos & Institute of Neurosciences F. Olóriz, Universidad de Granada, Granada, Spain; School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Australia
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42
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Bu L, Yu D, Su S, Ma Y, von Deneen KM, Luo L, Zhai J, Liu B, Cheng J, Guan Y, Li Y, Bi Y, Xue T, Lu X, Yuan K. Functional Connectivity Abnormalities of Brain Regions with Structural Deficits in Young Adult Male Smokers. Front Hum Neurosci 2016; 10:494. [PMID: 27757078 PMCID: PMC5047919 DOI: 10.3389/fnhum.2016.00494] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 09/20/2016] [Indexed: 12/22/2022] Open
Abstract
Smoking is one of the most prevalent dependence disorders. Previous studies have detected structural and functional deficits in smokers. However, few studies focused on the changes of resting state functional connectivity (RSFC) of the brain regions with structural deficits in young adult smokers. Twenty-six young adult smokers and 26 well-matched healthy non-smokers participated in our study. Voxel-based morphometry (VBM) and RSFC were employed to investigate the structural and functional changes in young adult smokers. Compared with healthy non-smokers, young smokers showed increased gray matter (GM) volume in the left putamen and decreased GM volume in the left anterior cingulate cortex (ACC). Moreover, GM volume in the left ACC has a negative correlation trend with pack-years and GM volume in the left putamen was positively correlated with pack-years. The left ACC and putamen with abnormal volumes were chosen as the regions of interest (ROIs) for the RSFC analysis. We found that smokers showed increased RSFC between the left ACC and right amygdala and between the left putamen and right anterior insula. We revealed structural and functional deficits within the frontostriatal circuits in young smokers, which may shed new insights into the neural mechanisms of smoking.
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Affiliation(s)
- Limei Bu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Shaoping Su
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Yao Ma
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Karen M von Deneen
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Lin Luo
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Jinquan Zhai
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Bo Liu
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Jiadong Cheng
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Yanyan Guan
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Yangding Li
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Yanzhi Bi
- School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Xiaoqi Lu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and TechnologyBaotou, People's Republic of China; School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China
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43
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Li Y, Yuan K, Guan Y, Cheng J, Bi Y, Shi S, Xue T, Lu X, Qin W, Yu D, Tian J. The implication of salience network abnormalities in young male adult smokers. Brain Imaging Behav 2016; 11:943-953. [DOI: 10.1007/s11682-016-9568-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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44
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Gogliettino AR, Potenza MN, Yip SW. White matter development and tobacco smoking in young adults: A systematic review with recommendations for future research. Drug Alcohol Depend 2016; 162:26-33. [PMID: 26948756 PMCID: PMC4833590 DOI: 10.1016/j.drugalcdep.2016.02.015] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 02/09/2016] [Accepted: 02/10/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Adolescence and young adulthood are critical vulnerability periods for initiation of tobacco smoking. White matter development is ongoing during this time and may be influenced by exposure to nicotine. Synthesis of findings from diffusion tensor imaging (DTI) studies of adolescent and young adult smokers may be helpful in understanding the relationship between neurodevelopment and initiation and progression of tobacco-use behaviors and in guiding further research. METHODS A systematic literature review was conducted to identify DTI studies comparing adolescent and young adult (mean age <30 years) smokers versus nonsmokers. A total of 5 studies meeting inclusion criteria were identified. Primary study findings are reviewed and discussed within the context of neurodevelopment and in relation to findings from adult studies. Directions for further research are also discussed. RESULTS All identified studies reported increases in fractional anisotropy (FA) among adolescent/young adult smokers in comparison to non-smokers. Increased FA was most frequently reported in regions of the corpus callosum (genu, body and spenium), internal capsule and superior longitudinal fasciculus. CONCLUSIONS Findings of increased FA among adolescent/young adult smokers are contrary to those from most adult studies and thus raise the possibility of differential effects of nicotine on white matter across the lifespan. Further research including multiple time points is needed to test this hypothesis. Other areas warranting further research include DTI studies of e-cigarette use and studies incorporating measures of pubertal stage.
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Affiliation(s)
| | - Marc N. Potenza
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States, CASAColumbia, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States, Connecticut Mental Health Center, New Haven, CT, United States, Department of Neurobiology, Yale University School of Medicine, New Haven, CT, United States, Yale Child Study Center, Yale University School of Medicine, New Haven, CT, United States
| | - Sarah W. Yip
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States, CASAColumbia, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States, Corresponding author at: 1 Church Street, 7th Floor, Room 730, New Haven, CT 06510-3330, United States. Fax: +1 203 737 3591. (S.W. Yip)
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45
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Li Y, Yuan K, Bi Y, Guan Y, Cheng J, Zhang Y, Shi S, Lu X, Yu D, Tian J. Neural correlates of 12-h abstinence-induced craving in young adult smokers: a resting-state study. Brain Imaging Behav 2016; 11:677-684. [DOI: 10.1007/s11682-016-9544-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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46
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Yuan K, Yu D, Bi Y, Li Y, Guan Y, Liu J, Zhang Y, Qin W, Lu X, Tian J. The implication of frontostriatal circuits in young smokers: A resting-state study. Hum Brain Mapp 2016; 37:2013-26. [PMID: 26918784 DOI: 10.1002/hbm.23153] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 01/25/2016] [Accepted: 02/11/2016] [Indexed: 12/26/2022] Open
Abstract
The critical roles of frontostriatal circuits had been revealed in addiction. With regard to young smokers, the implication of frontostriatal circuits resting-state functional connectivity (RSFC) in smoking behaviors and cognitive control deficits remains unclear. In this study, the volume of striatum subsets, i.e., caudate, putamen, and nucleus accumbens, and corresponding RSFC differences were investigated between young smokers (n1 = 60) and nonsmokers (n2 = 60), which were then correlated with cigarette smoking measures, such as pack_years-cumulative effect of smoking, Fagerström Test for Nicotine Dependence (FTND)-severity of nicotine addiction, Questionnaire on Smoking Urges (QSU)-craving state, and Stroop task performances. Additionally, mediation analysis was carried out to test whether the frontostriatal RSFC mediates the relationship between striatum morphometry and cognitive control behaviors in young smokers when applicable. We revealed increased volume of right caudate and reduced RSFC between caudate and dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex in young smokers. Significant positive correlation between right caudate volume and QSU as well as negative correlation between anterior cingulate cortex-right caudate RSFC and FTND were detected in young smokers. More importantly, DLPFC-caudate RSFC strength mediated the relationship between caudate volume and incongruent errors during Stroop task in young smokers. Our results demonstrated that young smokers showed abnormal interactions within frontostriatal circuits, which were associated with smoking behaviors and cognitive control impairments. It is hoped that our study focusing on frontostriatal circuits could provide new insights into the neural correlates and potential novel therapeutic targets for treatment of young smokers. Hum Brain Mapp 37:2013-2026, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China.,Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yanzhi Bi
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Yangding Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Yanyan Guan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Jixin Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Yi Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Wei Qin
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China
| | - Xiaoqi Lu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, People's Republic of China.,Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, People's Republic of China
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Abstract
The aim of Addiction Biology is to advance our understanding of the action of drugs of abuse and addictive processes via the publication of high-impact clinical and pre-clinical findings resulting from behavioral, molecular, genetic, biochemical, neurobiological and pharmacological research. As of 2013, Addiction Biology is ranked number 1 in the category of Substance Abuse journals (SCI). Occasionally, Addiction Biology likes to highlight via review important findings focused on a particular topic and recently published in the journal. The current review summarizes a number of key publications from Addiction Biology that have contributed to the current knowledge of nicotine research, comprising a wide spectrum of approaches, both clinical and pre-clinical, at the cellular, molecular, systems and behavioral levels. A number of findings from human studies have identified, using imaging techniques, alterations in common brain circuits, as well as morphological and network activity changes, associated with tobacco use. Furthermore, both clinical and pre-clinical studies have characterized a number of mechanistic targets critical to understanding the effects of nicotine and tobacco addiction. Together, these findings will undoubtedly drive future studies examining the dramatic impact of tobacco use and the development of treatments to counter nicotine dependence.
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Affiliation(s)
- Rick E. Bernardi
- Institute of Psychopharmacology; Central Institute of Mental Health; Medical Faculty Mannheim/Heidelberg University; Germany
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