Robert J. Roy, Muhammad A. Parvaz, Ken T. Wakabayashi, Robert J. R. Blair, Nicholas A. Hubbard
Working memory difficulties are common, debilitating, and may pose barriers to recovery for people who use methamphetamine. Yet, little is known regarding the neural dysfunctions accompanying these difficulties. Here, we acquired cross-sectional, functional magnetic resonance imaging while people with problematic methamphetamine-use experience (MA+, n = 65) and people without methamphetamine-use experience (MA−, n = 44) performed a parametric n-back task (0-back through 2-back). Performance on tasks administered outside of the scanner, together with n-back performance, afforded to determine a latent dimension of participants' working memory ability. Behavioural results indicated that MA+ participants exhibited lower scores on this dimension compared to MA− participants (d = −1.39, p < .001). Whole-brain imaging results also revealed that MA+ participants exhibited alterations in load-induced responses predominantly in frontoparietal and default-mode areas. Specifically, while the MA− group exhibited monotonic activation increases within frontoparietal areas and monotonic decreases within default-mode areas from 0-back to 2-back, MA+ participants showed a relative attenuation of these load-induced activation patterns (d = −1.55, p < .001). Moreover, increased activations in frontoparietal areas from 0- to 2-back were related to greater working memory ability among MA+ participants (r = .560, p = .004). No such effects were observed for default-mode areas. In sum, reductions in working memory ability were observed alongside load-induced dysfunctions in frontoparietal and default-mode areas for people with problematic methamphetamine-use experience. Among them, load-induced activations within frontoparietal areas were found to have a strong and specific relationship to individual differences in working memory ability, indicating a putative neural signature of the working memory difficulties associated with chronic methamphetamine use.
{"title":"Methamphetamine-related working memory difficulties underpinned by reduced frontoparietal responses","authors":"Robert J. Roy, Muhammad A. Parvaz, Ken T. Wakabayashi, Robert J. R. Blair, Nicholas A. Hubbard","doi":"10.1111/adb.13444","DOIUrl":"https://doi.org/10.1111/adb.13444","url":null,"abstract":"<p>Working memory difficulties are common, debilitating, and may pose barriers to recovery for people who use methamphetamine. Yet, little is known regarding the neural dysfunctions accompanying these difficulties. Here, we acquired cross-sectional, functional magnetic resonance imaging while people with problematic methamphetamine-use experience (MA<sup>+</sup>, <i>n =</i> 65) and people without methamphetamine-use experience (MA<sup>−</sup>, <i>n =</i> 44) performed a parametric <i>n</i>-back task (0-back through 2-back). Performance on tasks administered outside of the scanner, together with <i>n</i>-back performance, afforded to determine a latent dimension of participants' working memory ability. Behavioural results indicated that MA<sup>+</sup> participants exhibited lower scores on this dimension compared to MA<sup>−</sup> participants (<i>d =</i> −1.39, <i>p</i> < .001). Whole-brain imaging results also revealed that MA<sup>+</sup> participants exhibited alterations in load-induced responses predominantly in frontoparietal and default-mode areas. Specifically, while the MA<sup>−</sup> group exhibited monotonic activation increases within frontoparietal areas and monotonic decreases within default-mode areas from 0-back to 2-back, MA<sup>+</sup> participants showed a relative attenuation of these load-induced activation patterns (<i>d</i> = −1.55, <i>p</i> < .001). Moreover, increased activations in frontoparietal areas from 0- to 2-back were related to greater working memory ability among MA<sup>+</sup> participants (<i>r</i> = .560, <i>p</i> = .004). No such effects were observed for default-mode areas. In sum, reductions in working memory ability were observed alongside load-induced dysfunctions in frontoparietal and default-mode areas for people with problematic methamphetamine-use experience. Among them, load-induced activations within frontoparietal areas were found to have a strong and specific relationship to individual differences in working memory ability, indicating a putative neural signature of the working memory difficulties associated with chronic methamphetamine use.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 10","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/adb.13444","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>We read the published article about ‘Sex differences in neural networks recruited by frontloaded binge alcohol drinking’ by Ardinger et al.,<span><sup>1</sup></span> and carried on the in-depth analysis of its content. Using whole brain imaging techniques and graph theory analysis methods, this paper revealed gender differences in alcohol preloading behaviour in brain network activity, providing new insights into gender differences in alcohol use disorders. However, we think there is still room for improvement in the following aspects.</p><p>First of all, the article focused on alcohol intake, and more behavioural indicators, such as anxiety, depression, and addictive behaviours, can be considered to more comprehensively assess the impact of alcohol preloading behaviours. Physiological indicators such as cortisol levels can also be considered to explore the relationship between alcohol preloading behaviour and stress response.</p><p>Second, C57BL/6J mice are commonly used animal models for alcohol research, but their alcohol intake behaviour may be different from that of humans. Other alcohol preference animal models, such as DBA/2 mice, could be considered to enhance the generalizability of the findings. At the same time, the DID paradigm can simulate human alcohol preloading behaviour, but other behavioural paradigms, such as operant conditioning, can be considered for more fine-grained control of alcohol intake behaviour.</p><p>Third, the paper clustered brain regions into modules based only on connection strength, and further analysis of the function of each module can be considered, such as using functional connection analysis or functional magnetic resonance imaging, to reveal the role of different modules in alcohol preloading behaviour. Dynamic network analysis methods, such as time series network analysis, can also be considered to explore the effect of alcohol preloading behaviour on dynamic changes in brain functional connectivity.</p><p>Then, for the results presentation part, we recommend more advanced network visualization tools, such as Gephi or Cytoscape, to more clearly demonstrate brain network structure and functional connectivity. Multivariate statistical analysis or machine learning algorithms can also be used to analyse the data more deeply.</p><p>Finally, the article mainly described the relationship between alcohol preloading behaviour and brain network activity, but lacks causal inference. Brain stimulation techniques or gene knockout techniques can be considered to explore the role of specific brain regions or neurotransmitter systems in alcohol preloading behaviour. The relationship between alcohol preloading behaviour and alcohol use disorder and its potential targets for intervention can also be explored.</p><p>We believe that with the above improvements, the article will shed more light on the neural mechanisms of alcohol preloading behaviour and provide new perspectives for understanding gender differences in alc
我们阅读了Ardinger等人发表的关于 "Sex differences in neural networks recruited by frontloaded binge alcohol drinking "的文章1,并对其内容进行了深入分析。该论文利用全脑成像技术和图论分析方法,揭示了酒精前负荷行为在脑网络活动中的性别差异,为酒精使用障碍的性别差异提供了新的视角。但我们认为在以下几个方面仍有改进的空间:首先,文章主要关注酒精摄入量,可以考虑更多的行为指标,如焦虑、抑郁、成瘾行为等,以更全面地评估酒精预负荷行为的影响。其次,C57BL/6J小鼠是酒精研究中常用的动物模型,但其酒精摄入行为可能与人类不同。其次,C57BL/6J小鼠是酒精研究中常用的动物模型,但其酒精摄入行为可能与人类不同,因此可考虑使用其他酒精偏好动物模型,如DBA/2小鼠,以提高研究结果的普适性。同时,DID范式可以模拟人类的酒精预负荷行为,但也可以考虑其他行为范式,如操作性条件反射,以对酒精摄入行为进行更精细的控制。第三,论文仅根据连接强度将脑区聚类为模块,可以考虑进一步分析每个模块的功能,如使用功能连接分析或功能磁共振成像,以揭示不同模块在酒精预负荷行为中的作用。然后,在结果展示部分,我们建议使用更先进的网络可视化工具,如 Gephi 或 Cytoscape,以更清晰地展示大脑网络结构和功能连接。最后,文章主要描述了酒精预负荷行为与大脑网络活动之间的关系,但缺乏因果推理。可以考虑采用脑刺激技术或基因敲除技术来探讨特定脑区或神经递质系统在酒精预负荷行为中的作用。我们相信,经过上述改进,该文将对酒精预负荷行为的神经机制有更多的启示,并为理解酒精使用障碍的性别差异提供新的视角。作者声明无利益冲突。
{"title":"Comment on: ‘Sex differences in neural networks recruited by frontloaded binge alcohol drinking’","authors":"Jiayue Xu, Hua Zhao, Ying Wang","doi":"10.1111/adb.70002","DOIUrl":"https://doi.org/10.1111/adb.70002","url":null,"abstract":"<p>We read the published article about ‘Sex differences in neural networks recruited by frontloaded binge alcohol drinking’ by Ardinger et al.,<span><sup>1</sup></span> and carried on the in-depth analysis of its content. Using whole brain imaging techniques and graph theory analysis methods, this paper revealed gender differences in alcohol preloading behaviour in brain network activity, providing new insights into gender differences in alcohol use disorders. However, we think there is still room for improvement in the following aspects.</p><p>First of all, the article focused on alcohol intake, and more behavioural indicators, such as anxiety, depression, and addictive behaviours, can be considered to more comprehensively assess the impact of alcohol preloading behaviours. Physiological indicators such as cortisol levels can also be considered to explore the relationship between alcohol preloading behaviour and stress response.</p><p>Second, C57BL/6J mice are commonly used animal models for alcohol research, but their alcohol intake behaviour may be different from that of humans. Other alcohol preference animal models, such as DBA/2 mice, could be considered to enhance the generalizability of the findings. At the same time, the DID paradigm can simulate human alcohol preloading behaviour, but other behavioural paradigms, such as operant conditioning, can be considered for more fine-grained control of alcohol intake behaviour.</p><p>Third, the paper clustered brain regions into modules based only on connection strength, and further analysis of the function of each module can be considered, such as using functional connection analysis or functional magnetic resonance imaging, to reveal the role of different modules in alcohol preloading behaviour. Dynamic network analysis methods, such as time series network analysis, can also be considered to explore the effect of alcohol preloading behaviour on dynamic changes in brain functional connectivity.</p><p>Then, for the results presentation part, we recommend more advanced network visualization tools, such as Gephi or Cytoscape, to more clearly demonstrate brain network structure and functional connectivity. Multivariate statistical analysis or machine learning algorithms can also be used to analyse the data more deeply.</p><p>Finally, the article mainly described the relationship between alcohol preloading behaviour and brain network activity, but lacks causal inference. Brain stimulation techniques or gene knockout techniques can be considered to explore the role of specific brain regions or neurotransmitter systems in alcohol preloading behaviour. The relationship between alcohol preloading behaviour and alcohol use disorder and its potential targets for intervention can also be explored.</p><p>We believe that with the above improvements, the article will shed more light on the neural mechanisms of alcohol preloading behaviour and provide new perspectives for understanding gender differences in alc","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 10","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/adb.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Addiction is known to occur through the consumption of substances such as pharmaceuticals, illicit drugs, food, alcohol and tobacco. These addictions can be viewed as drug addiction, resulting from the ingestion of chemical substances contained in them. Multiple neural networks, including the reward system, anti-reward/stress system and central immune system in the brain, are believed to be involved in the onset of drug addiction. Although various compound evaluations using microelectrode array (MEA) as an in vitro testing methods to evaluate neural activities have been conducted, methods for assessing addiction have not been established. In this study, we aimed to develop an in vitro method for assessing the addiction of compounds, as an alternative to animal experiments, using human iPS cell-derived dopaminergic neurons with MEA measurements. MEA data before and after chronic exposure revealed specific changes in addictive compounds compared to non-addictive compounds, demonstrating the ability to estimate addiction of compound. Additionally, conducting gene expression analysis on cultured samples after the tests revealed changes in the expression levels of various receptors (nicotine, dopamine and GABA) due to chronic administration of addictive compounds, suggesting the potential interpretation of these expression changes as addiction-like responses in MEA measurements. The addiction assessment method using MEA measurements in human iPS cell-derived dopaminergic neurons conducted in this study proves effective in evaluating addiction of compounds on human neural networks.
众所周知,成瘾是通过摄入药物、违禁药物、食物、酒精和烟草等物质而产生的。这些成瘾可以被视为毒瘾,是由于摄入了其中所含的化学物质而导致的。据信,多种神经网络,包括大脑中的奖赏系统、反奖赏/压力系统和中枢免疫系统,都与药物成瘾的发生有关。虽然已经使用微电极阵列(MEA)作为评估神经活动的体外测试方法进行了各种化合物评估,但评估药物成瘾的方法尚未建立。在本研究中,我们旨在利用人体 iPS 细胞衍生的多巴胺能神经元和 MEA 测量方法,开发一种评估化合物成瘾性的体外方法,以替代动物实验。长期暴露前后的 MEA 数据显示,与非成瘾性化合物相比,成瘾性化合物会发生特定变化,这证明了评估化合物成瘾性的能力。此外,在测试后对培养样本进行基因表达分析,发现由于长期服用成瘾性化合物,各种受体(尼古丁、多巴胺和 GABA)的表达水平发生了变化,这表明在 MEA 测量中,这些表达变化有可能被解释为类似成瘾的反应。本研究采用在源自人类 iPS 细胞的多巴胺能神经元中测量 MEA 的成瘾性评估方法,证明可有效评估化合物对人类神经网络的成瘾性。
{"title":"Development of an evaluation method for addictive compounds based on electrical activity of human iPS cell-derived dopaminergic neurons using microelectrode array","authors":"Yuto Ishibashi, Nami Nagafuku, Shingo Kimura, Xiaobo Han, Ikuro Suzuki","doi":"10.1111/adb.13443","DOIUrl":"10.1111/adb.13443","url":null,"abstract":"<p>Addiction is known to occur through the consumption of substances such as pharmaceuticals, illicit drugs, food, alcohol and tobacco. These addictions can be viewed as drug addiction, resulting from the ingestion of chemical substances contained in them. Multiple neural networks, including the reward system, anti-reward/stress system and central immune system in the brain, are believed to be involved in the onset of drug addiction. Although various compound evaluations using microelectrode array (MEA) as an in vitro testing methods to evaluate neural activities have been conducted, methods for assessing addiction have not been established. In this study, we aimed to develop an in vitro method for assessing the addiction of compounds, as an alternative to animal experiments, using human iPS cell-derived dopaminergic neurons with MEA measurements. MEA data before and after chronic exposure revealed specific changes in addictive compounds compared to non-addictive compounds, demonstrating the ability to estimate addiction of compound. Additionally, conducting gene expression analysis on cultured samples after the tests revealed changes in the expression levels of various receptors (nicotine, dopamine and GABA) due to chronic administration of addictive compounds, suggesting the potential interpretation of these expression changes as addiction-like responses in MEA measurements. The addiction assessment method using MEA measurements in human iPS cell-derived dopaminergic neurons conducted in this study proves effective in evaluating addiction of compounds on human neural networks.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 10","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11462589/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariel Molina-Castro, Neda Seyedsadjadi, Danisa Nieto, Lorenzo Leggio, Blair Rowitz, Marta Yanina Pepino
Glucagon-like peptide-1 (GLP-1)-based therapies, effective in treating obesity and type 2 diabetes, hold potential for reducing alcohol-seeking behaviour. However, the understanding of how alcohol consumption affects endogenous GLP-1 responses—important for understanding GLP-1-based therapies' potential in addressing alcohol misuse—is limited, given the absence of placebo-controlled studies examining these effects. This study aimed to determine the acute effects of alcohol ingestion on GLP-1 and other peptides and evaluate whether metabolic surgery, which increases GLP-1 responses, blood alcohol concentrations (BAC) and alcohol misuse risk, influences this effect. Additionally, we assessed the acute effects of alcohol on plasma glucose and insulin concentrations. Using a placebo-controlled crossover study, we examined hormonal and glucose responses after oral alcohol consumption (0.5 g/kg of fat-free mass) versus placebo drinks in 18 women who underwent metabolic surgery <5 years ago and in 14 non-operated controls (equivalent in age, body mass index [BMI], race and alcohol consumption patterns). Women had a mean (SD) age of 41 (10) years and a BMI of 33 (5) kg/m2. Compared with the control group, the surgery group exhibited a higher peak BAC (0.99 [0.20] g/L vs. 0.75 [0.16] g/L; P < 0.005). Alcohol decreased GLP-1 by 34% (95% CI, 16%–52%) in both groups and decreased ghrelin more in the control (27%) than in the surgery group (13%). Alcohol modestly decreased plasma glucose and transiently increased insulin secretion in both groups (P < 0.05). However, alcohol lowered blood glucose concentrations to the hypoglycaemic range in 28% of the women in the surgery group versus none in the control group. These findings provide compelling evidence that acute alcohol consumption decreases GLP-1, a satiation signal, elucidating alcohol's ‘apéritif’ effect. This study also highlights the potential increase in alcohol-related hypoglycaemic effects after metabolic surgery.
{"title":"The glucagon-like peptide-1 and other endocrine responses to alcohol ingestion in women with versus without metabolic surgery","authors":"Mariel Molina-Castro, Neda Seyedsadjadi, Danisa Nieto, Lorenzo Leggio, Blair Rowitz, Marta Yanina Pepino","doi":"10.1111/adb.13441","DOIUrl":"10.1111/adb.13441","url":null,"abstract":"<p>Glucagon-like peptide-1 (GLP-1)-based therapies, effective in treating obesity and type 2 diabetes, hold potential for reducing alcohol-seeking behaviour. However, the understanding of how alcohol consumption affects endogenous GLP-1 responses—important for understanding GLP-1-based therapies' potential in addressing alcohol misuse—is limited, given the absence of placebo-controlled studies examining these effects. This study aimed to determine the acute effects of alcohol ingestion on GLP-1 and other peptides and evaluate whether metabolic surgery, which increases GLP-1 responses, blood alcohol concentrations (BAC) and alcohol misuse risk, influences this effect. Additionally, we assessed the acute effects of alcohol on plasma glucose and insulin concentrations. Using a placebo-controlled crossover study, we examined hormonal and glucose responses after oral alcohol consumption (0.5 g/kg of fat-free mass) versus placebo drinks in 18 women who underwent metabolic surgery <5 years ago and in 14 non-operated controls (equivalent in age, body mass index [BMI], race and alcohol consumption patterns). Women had a mean (SD) age of 41 (10) years and a BMI of 33 (5) kg/m<sup>2</sup>. Compared with the control group, the surgery group exhibited a higher peak BAC (0.99 [0.20] g/L vs. 0.75 [0.16] g/L; <i>P</i> < 0.005). Alcohol decreased GLP-1 by 34% (95% CI, 16%–52%) in both groups and decreased ghrelin more in the control (27%) than in the surgery group (13%). Alcohol modestly decreased plasma glucose and transiently increased insulin secretion in both groups (<i>P</i> < 0.05). However, alcohol lowered blood glucose concentrations to the hypoglycaemic range in 28% of the women in the surgery group versus none in the control group. These findings provide compelling evidence that acute alcohol consumption decreases GLP-1, a satiation signal, elucidating alcohol's ‘apéritif’ effect. This study also highlights the potential increase in alcohol-related hypoglycaemic effects after metabolic surgery.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 10","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461901/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongyu Lin, Adedayo Olaniran, Xiang Luo, Jessica Strauch, Megan A. M. Burke, Chloe L. Matheson, Xuan Li
Relapse is a major challenge in treating opioid addiction, including oxycodone. During abstinence, oxycodone seeking progressively increases, a phenomenon termed incubation of oxycodone craving. We previously demonstrated a causal role of orbitofrontal cortex (OFC) in this incubation. Here, we studied the interaction between glutamatergic projections from OFC and dopamine 1-family receptor (D1R) signaling in dorsal striatum (DS) in this incubation in male rats. We first examined the causal role of D1R signalling in DS in incubated oxycodone seeking. Next, we combined fluorescence-conjugated cholera toxin subunit B (CTb-555, a retrograde tracer) with Fos (a neuronal activity marker) to assess whether the activation of OFC→DS projections was associated with incubated oxycodone seeking. We then used a pharmacological asymmetrical disconnection procedure to examine the role of the interaction between projections from OFC and D1R signalling in DS in incubated oxycodone seeking. We also tested the effect of unilateral pharmacological inactivation of OFC or unilateral D1R blockade of DS on incubated oxycodone seeking. Finally, we assessed whether contralateral disconnection of OFC→DS projections impacted non-incubated oxycodone seeking on abstinence day 1. We found that D1R blockade in DS decreased incubated oxycodone seeking and OFC→DS projections were activated during incubated oxycodone seeking. Moreover, anatomical disconnection of OFC→DS projections, but not unilateral inactivation of OFC or unilateral D1R blockade in DS, decreased incubated oxycodone seeking. Lastly, contralateral disconnection of OFC→DS projections had no effect on oxycodone seeking on abstinence day 1. Together, these results demonstrated a causal role of OFC→DS projections in incubation of oxycodone craving.
{"title":"Orbitofrontal cortex to dorsal striatum circuit is critical for incubation of oxycodone craving after forced abstinence","authors":"Hongyu Lin, Adedayo Olaniran, Xiang Luo, Jessica Strauch, Megan A. M. Burke, Chloe L. Matheson, Xuan Li","doi":"10.1111/adb.13440","DOIUrl":"10.1111/adb.13440","url":null,"abstract":"<p>Relapse is a major challenge in treating opioid addiction, including oxycodone. During abstinence, oxycodone seeking progressively increases, a phenomenon termed incubation of oxycodone craving. We previously demonstrated a causal role of orbitofrontal cortex (OFC) in this incubation. Here, we studied the interaction between glutamatergic projections from OFC and dopamine 1-family receptor (D1R) signaling in dorsal striatum (DS) in this incubation in male rats. We first examined the causal role of D1R signalling in DS in incubated oxycodone seeking. Next, we combined fluorescence-conjugated cholera toxin subunit B (CTb-555, a retrograde tracer) with Fos (a neuronal activity marker) to assess whether the activation of OFC→DS projections was associated with incubated oxycodone seeking. We then used a pharmacological asymmetrical disconnection procedure to examine the role of the interaction between projections from OFC and D1R signalling in DS in incubated oxycodone seeking. We also tested the effect of unilateral pharmacological inactivation of OFC or unilateral D1R blockade of DS on incubated oxycodone seeking. Finally, we assessed whether contralateral disconnection of OFC→DS projections impacted non-incubated oxycodone seeking on abstinence day 1. We found that D1R blockade in DS decreased incubated oxycodone seeking and OFC→DS projections were activated during incubated oxycodone seeking. Moreover, anatomical disconnection of OFC→DS projections, but not unilateral inactivation of OFC or unilateral D1R blockade in DS, decreased incubated oxycodone seeking. Lastly, contralateral disconnection of OFC→DS projections had no effect on oxycodone seeking on abstinence day 1. Together, these results demonstrated a causal role of OFC→DS projections in incubation of oxycodone craving.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 10","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Increased allocation of behaviour to substance abuse at the expense of personal and social rewards is a hallmark of addiction that is reflected in several of DSM-5 criteria for diagnosis of substance use disorder. Previous studies focused on refining the self-administration (SA) model to better emulate an addictive state in laboratory animals. Here, we employed concurrent SA of sucrose pellets and morphine as two competing natural and drug rewards, respectively, to validate the feasibility of capturing pathological behavioural allocation in rats. A custom-made three-lever operant chamber was used. With one active and one inactive lever presented, rats were trained to self-administer morphine (0.5 mg/kg/infusion; 2 h/day) under a fixed-ratio 1 (FR-1) schedule until a stable response was achieved. Next, they were trained to self-administer morphine in the presence of a third lever dispensing sucrose pellets (20 mg) under FR-1. Concurrent morphine-sucrose SA sessions (2 h/day) were continued until stable morphine taking behaviour was re-established. In another experiment, rats first established stable sucrose pellet SA (2 h/day, FR-1) and then were trained to take morphine (0.5 mg/kg/infusion; 2 h/day). Subsequently, all rats underwent extinction training, in which morphine was replaced with saline while sucrose pellets were still available upon lever pressing, followed by cue-induced reinstatement of morphine seeking behaviour. Results showed that rats retained morphine SA when sucrose pellets were also available, but they showed binge-like sucrose intake when morphine was removed during the extinction sessions. However, morphine SA did not develop in rats that had previously established sucrose pellet SA. In conclusion, morphine SA developed even in the presence of a potent competing nondrug reward in rats. Adding an effort-based contingent delivery of a natural reward to the standard SA model, this protocol may provide an improved model of drug addiction in laboratory animals.
{"title":"Validation of drug-nondrug choice procedure to model maladaptive behavioural allocation to opioid use in rats","authors":"Setareh Azizzadeh, Milad Rahimpour, Kamran Rakhshan, Bahador Makkiabadi, Esmail Riahi","doi":"10.1111/adb.13442","DOIUrl":"10.1111/adb.13442","url":null,"abstract":"<p>Increased allocation of behaviour to substance abuse at the expense of personal and social rewards is a hallmark of addiction that is reflected in several of DSM-5 criteria for diagnosis of substance use disorder. Previous studies focused on refining the self-administration (SA) model to better emulate an addictive state in laboratory animals. Here, we employed concurrent SA of sucrose pellets and morphine as two competing natural and drug rewards, respectively, to validate the feasibility of capturing pathological behavioural allocation in rats. A custom-made three-lever operant chamber was used. With one active and one inactive lever presented, rats were trained to self-administer morphine (0.5 mg/kg/infusion; 2 h/day) under a fixed-ratio 1 (FR-1) schedule until a stable response was achieved. Next, they were trained to self-administer morphine in the presence of a third lever dispensing sucrose pellets (20 mg) under FR-1. Concurrent morphine-sucrose SA sessions (2 h/day) were continued until stable morphine taking behaviour was re-established. In another experiment, rats first established stable sucrose pellet SA (2 h/day, FR-1) and then were trained to take morphine (0.5 mg/kg/infusion; 2 h/day). Subsequently, all rats underwent extinction training, in which morphine was replaced with saline while sucrose pellets were still available upon lever pressing, followed by cue-induced reinstatement of morphine seeking behaviour. Results showed that rats retained morphine SA when sucrose pellets were also available, but they showed binge-like sucrose intake when morphine was removed during the extinction sessions. However, morphine SA did not develop in rats that had previously established sucrose pellet SA. In conclusion, morphine SA developed even in the presence of a potent competing nondrug reward in rats. Adding an effort-based contingent delivery of a natural reward to the standard SA model, this protocol may provide an improved model of drug addiction in laboratory animals.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 10","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461753/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hollis C. Karoly, Katelyn T. Kirk-Provencher, Joseph P. Schacht, Joshua L. Gowin
Alcohol exposure affects brain structure, but the extent to which its effects differ across development remains unclear. Several countries are considering changes to recommended guidelines for alcohol consumption, so high-quality evidence is needed. Many studies have been conducted among small samples, but recent efforts have been made to acquire large samples to characterize alcohol's effects on the brain on a population level. Several large-scale consortia have acquired such samples, but this evidence has not been synthesized across the lifespan. We conducted a systematic review of large-scale neuroimaging studies examining effects of alcohol exposure on brain structure at multiple developmental stages. We included studies with an alcohol-exposed sample of at least N = 100 from the following consortia: ABCD, ENIGMA, NCANDA, IMAGEN, Framingham Offspring Study, HCP and UK BioBank. Twenty-seven studies were included, examining prenatal (N = 1), adolescent (N = 9), low-to-moderate-level adult (N = 11) and heavy adult (N = 7) exposure. Prenatal exposure was associated with greater brain volume at ages 9–10, but contemporaneous alcohol consumption during adolescence and adulthood was associated with smaller volume/thickness. Both low-to-moderate consumption and heavy consumption were characterized by smaller volume and thickness in frontal, temporal and parietal regions, and reductions in insula, cingulate and subcortical structures. Adolescent consumption had similar effects, with less consistent evidence for smaller cingulate, insula and subcortical volume. In sum, prenatal exposure was associated with larger volume, while adolescent and adult alcohol exposure was associated with smaller volume and thickness, suggesting that regional patterns of effects of alcohol are similar in adolescence and adulthood.
{"title":"Alcohol and brain structure across the lifespan: A systematic review of large-scale neuroimaging studies","authors":"Hollis C. Karoly, Katelyn T. Kirk-Provencher, Joseph P. Schacht, Joshua L. Gowin","doi":"10.1111/adb.13439","DOIUrl":"https://doi.org/10.1111/adb.13439","url":null,"abstract":"<p>Alcohol exposure affects brain structure, but the extent to which its effects differ across development remains unclear. Several countries are considering changes to recommended guidelines for alcohol consumption, so high-quality evidence is needed. Many studies have been conducted among small samples, but recent efforts have been made to acquire large samples to characterize alcohol's effects on the brain on a population level. Several large-scale consortia have acquired such samples, but this evidence has not been synthesized across the lifespan. We conducted a systematic review of large-scale neuroimaging studies examining effects of alcohol exposure on brain structure at multiple developmental stages. We included studies with an alcohol-exposed sample of at least <i>N</i> = 100 from the following consortia: ABCD, ENIGMA, NCANDA, IMAGEN, Framingham Offspring Study, HCP and UK BioBank. Twenty-seven studies were included, examining prenatal (<i>N</i> = 1), adolescent (<i>N</i> = 9), low-to-moderate-level adult (<i>N</i> = 11) and heavy adult (<i>N</i> = 7) exposure. Prenatal exposure was associated with greater brain volume at ages 9–10, but contemporaneous alcohol consumption during adolescence and adulthood was associated with smaller volume/thickness. Both low-to-moderate consumption and heavy consumption were characterized by smaller volume and thickness in frontal, temporal and parietal regions, and reductions in insula, cingulate and subcortical structures. Adolescent consumption had similar effects, with less consistent evidence for smaller cingulate, insula and subcortical volume. In sum, prenatal exposure was associated with larger volume, while adolescent and adult alcohol exposure was associated with smaller volume and thickness, suggesting that regional patterns of effects of alcohol are similar in adolescence and adulthood.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"29 9","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/adb.13439","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}